Coal automobile sampling process control method and related device
By acquiring data from the programmable logic controller of the sampling and packaging mechanism and generating visual charts, the issues of data reliability and transparency in the coal truck sampling process are resolved, enabling real-time monitoring and efficient management and control, and improving sampling quality.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- XIAN THERMAL POWER RES INST CO LTD
- Filing Date
- 2026-03-27
- Publication Date
- 2026-05-29
Smart Images
Figure CN122108666A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of fuel management technology for thermal power plants, and relates to a method and related device for controlling the sampling process of coal trucks. Background Technology
[0002] Mechanized sampling by truck is a core technical step in the quality inspection of coal fuel during acceptance testing. It involves random, full-section, and full-depth sampling within the cargo compartment of coal trucks to obtain representative coal samples, which serve as the direct basis for subsequent laboratory analysis and trade settlement. Therefore, effective and reliable control over the entire truck sampling process, including vehicle basic data identification and acquisition, sampling plan generation, mechanical execution monitoring, and coal sample packaging and transfer, is fundamental to ensuring sampling standardization, result impartiality, and data traceability. This is crucial for guaranteeing fuel quality, controlling enterprise costs, and maintaining fair transactions.
[0003] Currently, industry control over the sampling process of coal-fired vehicles primarily relies on a data interaction architecture based on a database intermediate table and a post-event report verification mechanism. Specifically, the sampling machine control system writes its execution process and result data into a designated database intermediate table, from which the upper-level fuel management system reads the data for recording and statistics. Meanwhile, supervision of sampling compliance mainly relies on manually exporting the aforementioned data reports, and post-event verification and evaluation are conducted by comparing the preset sampling plan with the actual sampling record list.
[0004] However, existing control methods have significant technical flaws. First, regarding data reliability, data exchange is conducted through an intermediate database table—the sampling machine control system writes the processed execution results into the intermediate table, which is then read by the upper-level fuel management system. This means the data can be tampered with or falsified at the source, resulting in weak data reliability across the entire control chain. Second, existing solutions cannot directly and in real-time verify the core physical processes of sampling and packaging, independent of the equipment control program. This essentially leaves the sampling and packaging process in a black box, with control relying on equipment self-reporting and lacking objective third-party data verification. Finally, monitoring the sampling process primarily relies on querying and comparing discrete data reports, such as exporting lists of sampling coordinates and scheme coordinates for manual verification. This makes it difficult to efficiently identify systemic problems such as batch-specific abnormal distribution, equipment performance degradation, or process interruptions, leading to lagging control and insufficient intelligence. Summary of the Invention
[0005] The purpose of this invention is to overcome the shortcomings of the prior art and provide a method and related apparatus for controlling the sampling process of coal trucks.
[0006] To achieve the above objectives, the present invention employs the following technical solution: In a first aspect, the present invention provides a method for controlling the sampling process of coal trucks, comprising: acquiring and generating a sampling plan for coal trucks based on a transportation plan and basic information of the truck bodies, and sending the plan to a truck sampling system; wherein the sampling plan is used to trigger the truck sampling system to perform coal truck sampling according to the sampling plan; during the coal truck sampling process, obtaining sampling-related data and encapsulation-related data directly from the programmable logic controllers of the sampling mechanism and encapsulation mechanism of the truck sampling system to obtain supervised collection data; and generating and visually displaying a sampling process supervision chart based on the sampling plan and the supervised collection data.
[0007] Optionally, the step of obtaining and generating a vehicle sampling plan for coal transport vehicles based on the transportation plan and the basic information of the coal transport vehicles' cargo compartments, and sending it to the vehicle sampling system, includes: obtaining the basic information of the coal transport vehicles' cargo compartments from a preset database of basic information of the coal transport vehicles' cargo compartments based on the identification marks of the coal transport vehicles, and obtaining the transportation plan and parsing it to obtain transportation-related data; generating a vehicle sampling plan for the coal transport vehicles based on the basic information of the coal transport vehicles' cargo compartments and the transportation-related data, and sending it to the vehicle sampling system.
[0008] Optionally, the basic information of the carriage includes the carriage number, carriage length, carriage width, carriage floor height, high and low bed carriage floor height, vehicle registration certificate, and driver's license; the transportation-related data includes the daily planned coal transportation volume, the planned total number of carriages, the nominal particle size of the coal sample, the weight of the standard subsample from the sampling machine, and the net weight of the coal transport truck at the mine.
[0009] Optionally, the sampling associated data includes sampling code, sampling start / stop status, sampling operation status, sampling fault status, hopper door open / close status, sampling head rise / fall status, issued sampling point, sampling origin coordinates, target sampling point coordinates, current sampling trolley travel coordinates, current sampling trolley travel coordinates, and current sampling head descent depth coordinates; the packaging associated data includes sampling code, start / stop status, operation status, fault status, packaging barrel station, packaging barrel chip code, material dropping weight, material dropping times, packaging barrel coal sample weight, barrel full status, exit station, exit barrel chip code, and exit barrel coal sample code.
[0010] Optionally, it also includes: when a sampling completion signal is received, generating a camera capture signal and sending it to the associated camera of the vehicle sampling system, and receiving the captured image sent by the associated camera; wherein, the camera capture signal is used to trigger the associated camera to capture the sampling results of the coal truck's cargo compartment from above, obtain the captured image and send it up.
[0011] Optionally, the step of generating and visualizing a sampling process monitoring chart based on the vehicle sampling plan and monitored data collection includes: acquiring the weight data of the packaged coal samples from the monitored data collection, and generating and visualizing a cumulative weight curve of the packaged coal samples over time based on the weight data; dividing the cargo compartment of the coal truck into several regular areas based on the basic information of the truck compartment; determining the actual sampling coordinates of each sampling point during the coal truck sampling process based on the monitored data collection; determining the regular area to which each sampling point belongs based on the actual sampling coordinates; generating and visualizing a planar distribution map of the sampling points based on the regular areas to which each sampling point belongs; generating and visualizing a schematic diagram of the actual three-dimensional distribution of the sampling points based on the actual sampling coordinates; determining the design sampling coordinates of each sampling point based on the vehicle sampling plan, and generating and visualizing a schematic diagram of the design three-dimensional distribution of the sampling points based on the design sampling coordinates; generating and visualizing a statistical list of the actual depth of the sampling points based on the actual sampling coordinates; and generating and visualizing a statistical list of the design depth of the sampling points based on the design sampling coordinates.
[0012] Optionally, it also includes: obtaining the vehicle sampling plan and monitoring data of each coal transport vehicle in the same batch, and obtaining and visualizing a statistical list of sampling display data of each coal transport vehicle in the same batch based on the vehicle sampling plan and monitoring data of each coal transport vehicle in the same batch; wherein, the sampling display data includes the vehicle number, sampling plan, preset sampling machine, actual sampling coordinates, actual sampling time, actual sampling machine and captured image; obtaining and generating a statistical list of sampling status based on the sampling rate and sampling method of each coal transport vehicle in different batches and visualizing it.
[0013] In a second aspect, the present invention provides a coal truck sampling process control system, comprising: a scheme generation module, used to acquire and generate a coal truck sampling scheme based on the transportation plan and the basic information of the coal truck's cargo compartment, and send it to the truck sampling system; wherein the truck sampling scheme is used to trigger the truck sampling system to perform coal truck sampling according to the truck sampling scheme; a sampling supervision module, used to directly acquire sampling-related data and encapsulation-related data from the programmable logic controllers of the sampling mechanism and encapsulation mechanism of the truck sampling system during the coal truck sampling process, thereby obtaining supervised collection data; and a data display module, used to generate and visualize a sampling process supervision chart based on the truck sampling scheme and the supervised collection data.
[0014] In a third aspect, the present invention provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the coal truck sampling process control method.
[0015] In a fourth aspect, the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the coal truck sampling process control method.
[0016] Compared with the prior art, the present invention has the following beneficial effects: This invention presents a method for controlling the coal truck sampling process. By constructing a closed-loop control link that unifies scheme generation, directly collects process data, and visualizes results, it systematically solves the shortcomings of existing control schemes, such as easy data tampering, lack of process transparency, and low regulatory efficiency. Specifically, the method first generates a reliable sampling scheme based on the transportation plan and the basic information of the coal truck's cargo compartment, thus standardizing the execution standards from the source. Second, it innovatively bypasses intermediate systems, directly obtaining sampling-related data and packaging-related data from the programmable logic controllers of the sampling and packaging mechanisms of the truck sampling system, technically eliminating the possibility of data falsification and ensuring the authenticity of the supervised data. Finally, it integrates the sampling scheme with the supervised data collection, transforming it into a sampling process supervision chart and displaying it visually. This transforms complex professional judgments into intuitive graphical information, achieving a fundamental shift from passive post-event verification to proactive real-time monitoring, and from discrete data review to intelligent graphical decision-making. This comprehensively improves the credibility and control efficiency of the coal sampling process, thereby increasing the transparency of coal sampling data, reducing the risk of fraud in the coal sampling process, and improving the quality of coal sampling. Attached Figure Description
[0017] Figure 1 This is a flowchart of the coal truck sampling process control method according to an embodiment of the present invention.
[0018] Figure 2 This is a cumulative weight curve of coal samples in a sealed barrel according to an embodiment of the present invention.
[0019] Figure 3 This is a planar distribution diagram of sampling points in an embodiment of the present invention.
[0020] Figure 4 This is a structural block diagram of the coal truck sampling process control system according to an embodiment of the present invention. Detailed Implementation
[0021] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.
[0022] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.
[0023] The present invention will now be described in further detail with reference to the accompanying drawings: See Figure 1 In one embodiment of the present invention, a method for controlling the coal truck sampling process is provided to improve the transparency of sampling data, reduce the risk of fraud in the sampling process, and improve the quality of coal sampling.
[0024] Specifically, the coal truck sampling process control method of the present invention includes the following steps: S1: Obtain and generate a sampling plan for coal trucks based on the transportation plan and the basic information of the coal trucks, and send it to the truck sampling system; wherein, the truck sampling plan is used to trigger the truck sampling system to perform coal truck sampling on the coal trucks according to the truck sampling plan.
[0025] S2: During the coal truck sampling process, sampling-related data and packaging-related data are directly obtained from the programmable logic controllers of the sampling and packaging mechanisms of the truck sampling system to obtain supervised collection data.
[0026] S3: Based on the vehicle sampling plan and the monitored data, generate and visualize the sampling process monitoring chart.
[0027] This invention presents a method for controlling the coal truck sampling process. By constructing a closed-loop control link that unifies scheme generation, directly collects process data, and visualizes results, it systematically solves the shortcomings of existing control schemes, such as easy data tampering, lack of process transparency, and low regulatory efficiency. Specifically, the method first generates a reliable sampling scheme based on the transportation plan and the basic information of the coal truck's cargo compartment, thus standardizing the execution standards from the source. Second, it innovatively bypasses intermediate systems, directly obtaining sampling-related data and packaging-related data from the programmable logic controllers of the sampling and packaging mechanisms of the truck sampling system, technically eliminating the possibility of data falsification and ensuring the authenticity of the supervised data. Finally, it integrates the sampling scheme with the supervised data collection, transforming it into a sampling process supervision chart and displaying it visually. This transforms complex professional judgments into intuitive graphical information, achieving a fundamental shift from passive post-event verification to proactive real-time monitoring, and from discrete data review to intelligent graphical decision-making. This comprehensively improves the credibility and control efficiency of the coal sampling process, thereby increasing the transparency of coal sampling data, reducing the risk of fraud in the coal sampling process, and improving the quality of coal sampling.
[0028] In one possible implementation, the step of acquiring and generating a vehicle sampling plan for coal transport vehicles based on the transportation plan and the basic information of the coal transport vehicles' cargo compartments, and sending it to the vehicle sampling system, includes: acquiring the basic information of the coal transport vehicles' cargo compartments from a preset database of basic information of the coal transport vehicles' cargo compartments based on the identification marks of the coal transport vehicles, and acquiring the transportation plan and parsing it to obtain transportation-related data; generating a vehicle sampling plan for the coal transport vehicles based on the basic information of the coal transport vehicles' cargo compartments and the transportation-related data, and sending it to the vehicle sampling system.
[0029] The method of measuring basic information of the carriage is explained and standardized. A database of basic information of automobile carriages is established to achieve unified management and maintenance of basic information of carriages. This ensures that basic information of carriages is obtained from the same data source (i.e., the database of basic information of automobile carriages) when formulating a carriage sampling plan, and effectively solves the problem of inconsistent basic information of carriages under different sampling machines for the same carriage.
[0030] For example, the identification mark for a coal transport truck could be its cargo compartment number or vehicle registration certificate. Explaining this, the entry and modification of basic cargo compartment information in the truck cargo compartment database generally employs a multi-level approval management mechanism, requiring multi-level verification to effectively ensure the accuracy and validity of the basic cargo compartment information.
[0031] For example, the basic information of the carriage includes the carriage number, carriage length, carriage width, carriage floor height, high and low bed carriage floor height, vehicle registration certificate, and driver's license; the transportation-related data includes the daily planned coal transportation volume, the planned total number of carriages, the nominal particle size of the coal sample, the standard subsample weight of the sampling machine, and the net weight of the coal transport truck at the mine.
[0032] Explanatoryly, the transportation plan is centrally managed by the fuel management system. Based on basic information such as the daily coal delivery plan from suppliers, the planned total number of trucks, the nominal particle size of coal samples, and the standard subsample weight of the sampling machine, the system calculates the number of sampling points and sampling codes for each coal truck upon arrival at the plant, based on the truck's net weight at the mine. Simultaneously, after recognizing the truck's identification mark, the sampling machine reads the vehicle's basic information from the truck's database and constructs a sampling plan by combining the number of sampling points and sampling codes. Then, it executes subsequent processes such as sampling point placement, sampling, crushing, and packaging according to the set requirements.
[0033] In one possible implementation, the sampling associated data includes sampling code, sampling start / stop status, sampling operation status, sampling fault status, hopper door open / close status, sampling head rise / fall status, issued sampling point, sampling origin coordinates, target sampling point coordinates, current sampling trolley travel coordinates, current sampling trolley travel coordinates, and current sampling head descent depth coordinates.
[0034] In one possible implementation, the encapsulation-related data includes sampling code, start / stop status, running status, fault status, encapsulation barrel station, encapsulation barrel chip code, material feeding weight, number of feedings, encapsulation barrel coal sample weight, barrel full status, exit station, exit chip code, and exit coal sample code.
[0035] The explanatory approach eliminates the need for intermediate database interface tables in the data collection method. Instead, the fuel management system directly collects raw data from the programmable logic controllers (PLCs) of the sampling and packaging mechanisms of the vehicle sampling system. This eliminates the possibility of data falsification and ensures that the sampled data is authentic and valid from the source.
[0036] Specifically, sampling-related data is directly collected from the PLC of the sampling mechanism. This data typically includes real-time measurement point information such as sampling code, sampling start / stop status, sampling operation status, sampling fault status, hopper door open / close status, sampling head rise / fall status, issued sampling points, sampling origin coordinates, target sampling point coordinates, current sampling trolley travel coordinates, current sampling carriage travel coordinates, and current sampling head descent depth coordinates. This allows for the monitoring and collection of process data from the sampling mechanism. Furthermore, the sampling completion time and actual sampling coordinates of each sampling point in the carriage can be calculated using status bit logic.
[0037] Specifically, packaging-related data is directly collected from the PLC of the packaging mechanism. This data typically includes real-time measurement points such as sampling codes, start / stop status, running status, fault status, packaging barrel station, packaging barrel chip code, material feeding weight, feeding times, packaging barrel coal sample weight, barrel full status, exit station, exit chip code, and exit coal sample code, in order to complete the monitoring and collection of process data of the packaging mechanism.
[0038] In one possible implementation, the coal truck sampling process control method further includes: when a sampling completion signal is received, generating a camera capture signal and sending it to the associated camera of the truck sampling system, and receiving the captured image sent by the associated camera; wherein, the camera capture signal is used to trigger the associated camera to capture the sampling results of the coal truck's cargo compartment from above, obtain the captured image, and send it up.
[0039] Interpretive, based on the sampling completion signal, the associated camera performs camera capture, realizing the sampling results of the carriage, such as the overhead capture of the carriage sampling coordinates, and can be associated and stored with the supervised collection data.
[0040] In one possible implementation, the step of generating and visualizing a sampling process monitoring chart based on the vehicle sampling plan and monitored data collection includes: acquiring the weight data of the packaged coal samples from the monitored data collection, and generating and visualizing a cumulative weight curve of the packaged coal samples over time based on the weight data; dividing the cargo compartment of the coal truck into several regular areas based on the basic information of the truck compartment; determining the actual sampling coordinates of each sampling point during the coal truck sampling process based on the monitored data collection; determining the regular area to which each sampling point belongs based on the actual sampling coordinates; generating and visualizing a planar distribution map of the sampling points based on the regular areas to which each sampling point belongs; generating and visualizing a schematic diagram of the actual three-dimensional distribution of the sampling points based on the actual sampling coordinates; determining the design sampling coordinates of each sampling point based on the vehicle sampling plan, and generating and visualizing a schematic diagram of the design three-dimensional distribution of the sampling points based on the design sampling coordinates; generating and visualizing a statistical list of the actual depth of the sampling points based on the actual sampling coordinates; and generating and visualizing a statistical list of the design depth of the sampling points based on the design sampling coordinates. This is an explanatory, graphical representation of the cumulative weight curve of coal samples in sealed containers over time. By observing and analyzing this cumulative weight curve, the changes in the sealed containers for each batch of coal samples from the start of sampling to the end (or when the container is full) can be effectively mapped and fed back to whether there is coal blockage during sampling and whether the weight of the subsamples is uniform. See also... Figure 2 The figure shows the cumulative weight curve of the coal sample in the sealed barrel during a specific coal truck sampling process.
[0041] This explanation uses a planar view to display the distribution of sampling points within a unit of time or a batch of samples, facilitating a clear visual connection between sampling data. For example, based on the dimensions of the carriage (dividing the width into three equal parts and the length into six equal parts), the entire carriage is divided into 18 regions. These regions are numbered sequentially from the rear to the front of the carriage. The actual sampling coordinates are calculated based on their location within the assigned region, and the final result is a graphical representation of the planar distribution of the carriage's sampling areas. See also... Figure 3 The diagram shows the planar distribution of sampling points during a specific coal truck sampling process.
[0042] It is explanatory and displays the three-dimensional distribution of actual and designed sampling coordinates in a 3D plot, that is, the relative distribution of the x-axis, y-axis and z-axis of the actual and designed sampling coordinates. It can also display the statistical lists of actual and designed depths of sampling points in a list format.
[0043] Specifically, the actual length, width, and floor height of the carriage are converted to standard carriage dimensions, and the actual sampling coordinates and design sampling coordinates are converted according to the standard carriage dimensions. The distance from the Z-axis of the converted coordinates to the carriage floor is calculated and used as the actual depth and design depth of the sampling point.
[0044] In one possible implementation, the coal truck sampling process control method further includes: acquiring the sampling plan and monitoring data of each coal truck in the same batch; and obtaining and visually displaying a statistical list of sampling display data for each coal truck in the same batch based on the sampling plan and monitoring data of each coal truck in the same batch; wherein the sampling display data includes the truck number, sampling plan, preset sampling machine, actual sampling coordinates, actual sampling time, actual sampling machine, and captured image; and acquiring and visually displaying a statistical list of sampling status based on the sampling rate and sampling method of each coal truck in different batches.
[0045] The system provides explanatory information, allowing users to query and statistically analyze batch sampling rates in a list format. It clearly displays information such as batch number, fully automated mechanical sampling rate, semi-automated mechanical sampling rate, and manual sampling rate. Furthermore, by comparing and analyzing the sampling details of the same batch from different carriages in a list format, it can intuitively identify potential issues such as execution deviations, abnormal equipment allocation, or non-standard operations within the same batch.
[0046] The following are embodiments of the apparatus of the present invention, which can be used to execute embodiments of the method of the present invention. For details not disclosed in the apparatus embodiments, please refer to the embodiments of the method of the present invention.
[0047] See Figure 4In another embodiment of the present invention, a coal truck sampling process control system is provided, which can be used to implement the above-mentioned coal truck sampling process control method. Specifically, the coal truck sampling process control system includes a scheme generation module, a sampling supervision module, and a data display module.
[0048] The scheme generation module is used to acquire and generate a sampling scheme for coal trucks based on the transportation plan and the basic information of the coal truck's cargo compartment, and send it to the truck sampling system. The truck sampling scheme is used to trigger the truck sampling system to perform coal truck sampling according to the scheme. The sampling supervision module is used to obtain sampling-related data and encapsulation-related data directly from the programmable logic controllers of the sampling and encapsulation mechanisms of the truck sampling system during the coal truck sampling process, and obtain supervised collection data. The data display module is used to generate and visualize the sampling process supervision chart based on the truck sampling scheme and the supervised collection data.
[0049] In one possible implementation, the step of acquiring and generating a vehicle sampling plan for coal transport vehicles based on the transportation plan and the basic information of the coal transport vehicles' cargo compartments, and sending it to the vehicle sampling system, includes: acquiring the basic information of the coal transport vehicles' cargo compartments from a preset database of basic information of the coal transport vehicles' cargo compartments based on the identification marks of the coal transport vehicles, and acquiring the transportation plan and parsing it to obtain transportation-related data; generating a vehicle sampling plan for the coal transport vehicles based on the basic information of the coal transport vehicles' cargo compartments and the transportation-related data, and sending it to the vehicle sampling system.
[0050] In one possible implementation, the basic information of the carriage includes the carriage number, carriage length, carriage width, carriage floor height, high and low bed carriage floor height, vehicle registration certificate, and driver's license; the transportation-related data includes the daily planned coal transportation volume, the planned total number of carriages, the nominal particle size of the coal sample, the standard subsample weight of the sampling machine, and the net weight of the coal transport truck at the mine.
[0051] In one possible implementation, the sampling associated data includes sampling code, sampling start / stop status, sampling operation status, sampling fault status, hopper door open / close status, sampling head rise / fall status, issued sampling point, sampling origin coordinates, target sampling point coordinates, current sampling trolley travel coordinates, current sampling trolley travel coordinates, and current sampling head descent depth coordinates; the packaging associated data includes sampling code, start / stop status, operation status, fault status, packaging barrel station, packaging barrel chip code, material dropping weight, material dropping times, packaging barrel coal sample weight, barrel full status, exit station, exit barrel chip code, and exit barrel coal sample code.
[0052] In one possible implementation, the sampling supervision module is further configured to: generate a camera capture signal and send it to the associated camera of the vehicle sampling system when a sampling completion signal is received, and receive the captured image sent by the associated camera; wherein, the camera capture signal is used to trigger the associated camera to capture the sampling results of the coal truck's cargo compartment from above, obtain the captured image and send it up.
[0053] In one possible implementation, the step of generating and visualizing a sampling process monitoring chart based on the vehicle sampling plan and monitored data collection includes: acquiring the weight data of the packaged coal samples from the monitored data collection, and generating and visualizing a cumulative weight curve of the packaged coal samples over time based on the weight data; dividing the cargo compartment of the coal truck into several regular areas based on the basic information of the truck compartment; determining the actual sampling coordinates of each sampling point during the coal truck sampling process based on the monitored data collection; determining the regular area to which each sampling point belongs based on the actual sampling coordinates; generating and visualizing a planar distribution map of the sampling points based on the regular areas to which each sampling point belongs; generating and visualizing a schematic diagram of the actual three-dimensional distribution of the sampling points based on the actual sampling coordinates; determining the design sampling coordinates of each sampling point based on the vehicle sampling plan, and generating and visualizing a schematic diagram of the design three-dimensional distribution of the sampling points based on the design sampling coordinates; generating and visualizing a statistical list of the actual depth of the sampling points based on the actual sampling coordinates; and generating and visualizing a statistical list of the design depth of the sampling points based on the design sampling coordinates. In one possible implementation, the data display module is further configured to: acquire the vehicle sampling plan and supervised collection data of each coal transport vehicle in the same batch; and, based on the vehicle sampling plan and supervised collection data of each coal transport vehicle in the same batch, obtain a statistical list of sampling display data for each coal transport vehicle in the same batch and display it visually; wherein, the sampling display data includes the vehicle number, sampling plan, preset sampling machine, actual sampling coordinates, actual sampling time, actual sampling machine, and captured image; and acquire and generate a statistical list of sampling conditions based on the sampling rate and sampling method of each coal transport vehicle in different batches and display it visually.
[0054] All relevant content of each step involved in the aforementioned embodiments of the coal truck sampling process control method can be referenced to the functional description of the corresponding functional module of the coal truck sampling process control system in the embodiments of the present invention, and will not be repeated here.
[0055] The module division in this embodiment of the invention is illustrative and represents only one logical functional division. In actual implementation, other division methods may be used. Furthermore, the functional modules in the various embodiments of the invention can be integrated into a single processor, exist as separate physical entities, or be integrated into a single module. The integrated modules described above can be implemented in hardware or as software functional modules.
[0056] In another embodiment of the present invention, a computer device is provided, comprising a processor and a memory. The memory stores a computer program, which includes program instructions. The processor executes the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in the computer storage medium to achieve a corresponding method flow or corresponding function. The processor described in this embodiment of the present invention can be used for the operation of a coal truck sampling process control method.
[0057] In another embodiment of the present invention, a storage medium is provided, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device used to store programs and data. It is understood that the computer-readable storage medium here can include both the built-in storage medium in the computer device and extended storage media supported by the computer device. The computer-readable storage medium provides storage space that stores the terminal's operating system. Furthermore, the storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be high-speed RAM or non-volatile memory, such as at least one disk storage device. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the corresponding steps of the coal truck sampling process control method in the above embodiments.
[0058] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0059] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0060] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0061] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0062] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.
Claims
1. A method for controlling the sampling process of coal trucks, characterized in that, include: Based on the transportation plan and the basic information of the coal truck's cargo compartment, a coal truck sampling plan is generated and sent to the truck sampling system. The truck sampling plan is used to trigger the truck sampling system to perform coal truck sampling based on the plan. During the coal truck sampling process, sampling-related data and packaging-related data are directly obtained from the programmable logic controllers of the sampling and packaging mechanisms of the truck sampling system to obtain supervised collection data; Based on the vehicle sampling plan and the monitored data, a monitoring chart of the sampling process is generated and visualized.
2. The method for controlling the sampling process of coal trucks according to claim 1, characterized in that, The step of acquiring and generating a vehicle sampling plan for coal transport trucks based on the transportation plan and the basic information of the truck bodies, and sending it to the vehicle sampling system, includes: Based on the identification marks of coal transport trucks, the basic information of the coal transport truck's cargo compartment is obtained from the pre-set database of basic information of the truck's cargo compartment, as well as the transportation plan is obtained and the relevant transportation data is parsed. Based on the basic information of the coal truck's cargo compartment and relevant transportation data, a coal truck sampling plan is generated and sent to the truck sampling system.
3. The method for controlling the sampling process of coal trucks according to claim 2, characterized in that, The basic information of the carriage includes the carriage number, carriage length, carriage width, carriage floor height, high and low bed carriage floor height, vehicle registration certificate, and driver's license; the transportation-related data includes the daily planned coal transportation volume, the planned total number of carriages, the nominal particle size of the coal sample, the standard subsample weight of the sampling machine, and the net weight of the coal transport truck at the mine.
4. The method for controlling the sampling process of coal trucks according to claim 1, characterized in that, The sampling associated data includes sampling code, sampling start / stop status, sampling operation status, sampling fault status, hopper door open / close status, sampling head rise / fall status, issued sampling point, sampling origin coordinates, target sampling point coordinates, current sampling trolley travel coordinates, current sampling trolley travel coordinates, and current sampling head descent depth coordinates. The packaging-related data includes sampling code, start / stop status, running status, fault status, packaging barrel station, packaging barrel chip code, material feeding weight, feeding times, packaging barrel coal sample weight, barrel full status, exit station, exit chip code, and exit coal sample code.
5. The method for controlling the sampling process of coal trucks according to claim 1, characterized in that, Also includes: When a sampling completion signal is received, a camera capture signal is generated and sent to the associated camera of the vehicle sampling system, and the captured image sent by the associated camera is received; wherein, the camera capture signal is used to trigger the associated camera to capture the sampling results of the coal truck's compartment from above, obtain the captured image and send it up.
6. The method for controlling the sampling process of coal trucks according to claim 1, characterized in that, The step of generating and visually displaying a sampling process monitoring chart based on the vehicle sampling plan and the monitored data includes: Acquire the weight data of the coal samples in the sealed barrels from the supervised collection data, and generate and visualize the cumulative weight curve of the coal samples in the sealed barrels over time based on the weight data of the coal samples in the sealed barrels. Based on the basic information of the coal truck's cargo compartment, the cargo compartment is divided into several regular areas; based on the monitored and collected data, the actual sampling coordinates of each sampling point during the coal truck sampling process are determined; based on the actual sampling coordinates of each sampling point, the regular area to which each sampling point belongs is determined; based on the regular area to which each sampling point belongs, a sampling point planar area distribution map is generated and visualized to show the planar distribution of sampling points. Based on the actual sampling coordinates of each sampling point, a schematic diagram of the actual three-dimensional distribution of the sampling points is generated and visualized; and based on the vehicle sampling scheme, the design sampling coordinates of each sampling point are determined, and a schematic diagram of the design three-dimensional distribution of the sampling points is generated and visualized. Based on the actual sampling coordinates of each sampling point, a statistical list of the actual depth of the sampling points is generated and visualized; and based on the designed sampling coordinates of each sampling point, a statistical list of the designed depth of the sampling points is generated and visualized.
7. The method for controlling the sampling process of coal trucks according to claim 1, characterized in that, Also includes: Obtain the vehicle sampling plan and monitoring data of each coal transport vehicle in the same batch, and based on the vehicle sampling plan and monitoring data of each coal transport vehicle in the same batch, obtain a statistical list of sampling display data of each coal transport vehicle in the same batch and display it visually; among which, the sampling display data includes the vehicle number, sampling plan, preset sampling machine, actual sampling coordinates, actual sampling time, actual sampling machine and captured image; Obtain and visualize the sampling statistics list based on the sampling rate and sampling method of each coal transport truck in different batches.
8. A coal truck sampling process control system, characterized in that, include: The scheme generation module is used to obtain and generate a sampling scheme for coal trucks based on the transportation plan and the basic information of the coal trucks, and send it to the vehicle sampling system. The vehicle sampling scheme is used to trigger the vehicle sampling system to perform coal sampling on the coal trucks according to the sampling scheme. The sampling supervision module is used to directly obtain sampling-related data and encapsulation-related data from the programmable logic controllers of the sampling mechanism and encapsulation mechanism of the vehicle sampling system during the coal truck sampling process, and obtain the supervision and collection data. The data visualization module is used to generate and visualize sampling process monitoring charts based on the vehicle sampling plan and the collected monitoring data.
9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the coal truck sampling process control method as described in any one of claims 1 to 7.
10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the coal truck sampling process control method as described in any one of claims 1 to 7.