Method and device for automatically calculating technological process in coal dressing industry

Abstract

The embodiment of the invention provides an automatic calculation method and device for the technological process of the coal dressing industry, and relates to the technical field of coal dressing technology.The method comprises the steps that coal quality analysis data are input, and the instantaneous coal carrying amount of raw coal is obtained; based on the coal quality analysis data and the instantaneous coal carrying amount of the raw coal, production parameter indexes of all process operation links in the coal dressing process flow are obtained through calculation in combination with the process flow calculation model; according to the production parameter indexes, distributing the production parameter indexes to corresponding equipment according to a distribution rule in combination with an equipment parameter distribution model; through an automatic calculation model and algorithm, automatic calculation and optimization of the whole process from raw coal to products are achieved, and the efficiency and accuracy of process flow design are improved.

Description

Technical Field

[0001] The present application relates to the technical field of coal preparation technology, and in particular to a method and device for automatically calculating a process flow in the coal preparation industry. Background Art

[0002] The coal preparation industry is an important energy processing field, and its core lies in improving the quality and utilization efficiency of coal through coal preparation technology. In the coal preparation industry, the design and calculation of process flow are key links that affect production efficiency and economic benefits. However, traditional process flow design and calculation rely on manual experience or a single calculation tool, which cannot realize the full process automation calculation of coal preparation technology, and involves human intervention in multiple links, resulting in inaccurate design process, low data processing efficiency, and prone to errors. Summary of the invention

[0003] The purpose of the embodiments of the present application is to provide a method and device for automatically calculating the process flow in the coal preparation industry, so as to solve the problems that the current process flow design process is not accurate enough, the data processing efficiency is low, and errors are prone to occur.

[0004] In a first aspect, the present application embodiment provides a method for automatically calculating a process flow in a coal preparation industry, comprising: Input coal quality analysis data to obtain the instantaneous coal content of raw coal; Based on coal quality analysis data and the instantaneous coal content of raw coal, combined with the process calculation model, the production parameter indicators of each process operation link in the coal preparation process are calculated; According to the production parameter indicators, combined with the equipment parameter allocation model, the production parameter indicators are allocated to the corresponding equipment according to the allocation rules.

[0005] In the above implementation process, coal quality analysis data is input to obtain the instantaneous coal content of raw coal; based on the coal quality analysis data and the instantaneous coal content of raw coal, the production parameter indicators of each process operation link in the coal preparation process are calculated in combination with the process flow calculation model; according to the production parameter indicators, the production parameter indicators are allocated to the corresponding equipment according to the allocation rules in combination with the equipment parameter allocation model; through the automated calculation model and algorithm, the automatic calculation and optimization of the entire process from raw coal to product is realized, thereby improving the efficiency and accuracy of process flow design.

[0006] Furthermore, the production parameter indicators of each process operation link in the coal preparation process are calculated based on the coal quality analysis data and the instantaneous coal content of the raw coal, combined with the process flow calculation model, including: Based on the raw coal screening data, raw coal floating and sinking data, coal slime step-by-step release data and the instantaneous coal carrying capacity of raw coal, the production parameter indicators of each process operation link in the coal preparation process are calculated in combination with the number and mass calculation model and the water volume calculation model.

[0007] In the above implementation process, the efficiency and accuracy of process flow design are improved through automated calculation models and algorithms.

[0008] Furthermore, the production parameter indicators of each process operation link in the coal preparation process are calculated based on the coal quality analysis data and the instantaneous coal content of the raw coal, combined with the process flow calculation model, including: Adopting the process calculation model, referring to the raw coal screening data, based on the set calculation rules, the input and output of each screening link in each process manufacturing environment are summed up in terms of quantity and quality, and then reorganized in proportion; Adopting the process flow calculation model, referring to the floating and sinking data, and according to different density levels, the input products are divided into set types of coal quality outputs, wherein the coal quality outputs include the coal quality type of the outputs and the industrial analysis calculation data of the outputs; Refer to the step-by-step release data of coal slime to deslim and remove the medium from the coal output, and use the process flow calculation model to perform parallel calculation on the medium data; The production parameter indicators of each process operation link in the coal preparation process are obtained; among which, the production parameter indicators include the quality of each process, the water volume of each process and the medium volume of each process.

[0009] In the above implementation process, the main links such as screening, flotation, desliming and de-mediation are covered, realizing automatic calculation and optimization of the whole process from raw coal to products.

[0010] Furthermore, the production parameter indicators are allocated to corresponding equipment according to the allocation rules in combination with the equipment parameter allocation model according to the production parameter indicators, including: Obtain equipment sorting performance parameters; According to the production parameter index and the equipment sorting performance parameter, the production parameter index is allocated to each corresponding equipment in combination with the equipment parameter allocation model to obtain the equipment sorting parameters; wherein the equipment sorting parameters include the quantity and mass of each equipment, the water volume of each equipment and the medium volume of each equipment; Combining production parameter indicators, equipment sorting parameters and production timing, a production guidance strategy is generated and sent to the data platform to provide process operation guidance to the data platform.

[0011] In the above implementation process, the results of process calculations are linked to the production indicators on the production equipment side, so that the process production technical indicators can be transmitted to specific equipment on the production side as a basis for production; at the same time, the production sequence is set according to the actual downstream distance, material speed and other relationships on site, so as to truly reflect the spatial physical position of the upstream and downstream equipment and the logical judgment process of the production sequence.

[0012] Furthermore, after inputting the coal quality analysis data and obtaining the instantaneous coal content of the raw coal, the following steps are further included: Real-time adjustment of coal quality analysis data is carried out based on the coal quality dynamic verification model.

[0013] In the above implementation process, the parameters of the coal quality analysis data are adjusted to ensure the accuracy of the parameters.

[0014] Furthermore, the process operation links include: screening, crushing, desliming, two-product heavy medium separation, three-product heavy medium separation, pre-demediation, demediation, screening and dehydration, centrifugal dehydration, diversion, magnetic separation, hydraulic classification, coarse coal slime separation, flotation, concentration, combined medium preparation, circulating water, filtration, distribution and blending.

[0015] In the above implementation process, a series of process operations are interrelated and coordinated with each other, together forming a complete process of coal processing and improving the quality and utilization rate of coal.

[0016] Furthermore, the production parameter indicators include quantity indicators and quality indicators; The quantitative indicators include: output, yield, suspension volume, solid content in suspension, total amount of non-magnetic matter in suspension, total amount of magnetic matter in suspension, circulating water volume, reference flow rate; The quality indicators include: reference ash content, suspension density, non-magnetic content in the suspension, magnetic content in the suspension, solid weight per unit volume of the suspension, and moisture.

[0017] In the above implementation process, multiple production parameter data are integrated to facilitate dynamic adjustment. It can respond to factors such as changes in coal quality and production demand in real time, and automatically adjust process parameters, thereby optimizing process design and improving production efficiency and resource utilization.

[0018] In a second aspect, the embodiment of the present application provides a device for automatically calculating a process flow in a coal preparation industry, comprising: Data acquisition module, used to input coal quality analysis data and obtain the instantaneous coal content of raw coal; The parameter calculation module is used to calculate the production parameter indicators of each process operation link in the coal preparation process based on the coal quality analysis data and the instantaneous coal content of the raw coal, combined with the process calculation model; The parameter allocation module is used to allocate the production parameter indicators to the corresponding equipment according to the allocation rules based on the production parameter indicators and the equipment parameter allocation model.

[0019] In a third aspect, an embodiment of the present application provides an electronic device, including: A processor, a memory and a bus, wherein the processor is connected to the memory via the bus, and the memory stores computer-readable instructions. When the computer-readable instructions are executed by the processor, they are used to implement the automatic calculation method for the process flow of the coal preparation industry as described above.

[0020] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a server, the automatic calculation method for the process flow of the coal preparation industry as described above is implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0022] Figure 1 A schematic diagram of a process flow of an automatic calculation method for a process flow in the coal preparation industry provided in an embodiment of the present application; Figure 2 It is a structural schematic diagram of a device for automatically calculating a process flow in the coal preparation industry provided in an embodiment of the present application; Figure 3 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0023] The technical solutions in the embodiments of the present application will be described below in conjunction with the drawings in the embodiments of the present application.

[0024] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0025] The shortcomings of the existing technology: The design process relies on manual experience and the calculation complexity is high: The current design of the coal preparation process usually relies on the experience of engineers and involves a lot of manual calculations and analysis. With the diversification of coal types and the increase in process complexity, manual calculations are prone to inefficiency and error accumulation, and are difficult to adapt to large-scale, high-precision needs.

[0026] Lack of systematic data integration and dynamic adjustment capabilities: Existing technologies usually require redesigning processes or conducting a large number of tests to deal with changes in coal quality and process parameter adjustments, and lack an intelligent system that can be adjusted dynamically. In addition, data sources are scattered, and it is impossible to effectively integrate laboratory test data, field sampling data, and historical process parameters.

[0027] Insufficient process optimization and significant waste of resources: The current process design only focuses on the optimization of local links and lacks a global perspective. For example, the synergy between key process links such as screening, gravity separation and flotation has not been fully explored, which may lead to waste of resources and rising costs.

[0028] It is difficult to quickly verify the feasibility of the design: In the existing technology, after the design is completed, the feasibility of the process needs to be verified through actual production. This process is time-consuming and has great risks. Once the design is unreasonable, it may cause economic losses and reduced process efficiency.

[0029] Based on this, an embodiment of the present application proposes a method for automatically calculating the process flow in the coal preparation industry to solve the above problems.

[0030] Please see Figure 1 , Figure 1 A schematic diagram of a process flow of a method for automatically calculating a process flow in a coal preparation industry provided in an embodiment of the present application. The method for automatically calculating a process flow in a coal preparation industry includes: 100. Input coal quality analysis data and obtain the instantaneous coal content of the raw coal.

[0031] Optionally, the coal quality analysis data of the raw coal entered in the coal quality data management system is referenced, wherein the coal quality analysis data includes large sample screening data, floating and sinking data, and coal slime step-by-step release data. More specifically, the original data is collected from each link of coal sampling, preparation and testing, including indicators such as the appearance, density, moisture, ash content, volatile matter, sulfur content and calorific value of the coal sample; the collected original data is entered into the coal quality data management system, and the measured original data of the numbered coal sample is gradually entered according to the test number list; according to the preset formulas and algorithms, a variety of measurement values ​​and indicators are automatically calculated; after the entered data is reviewed and approved, the data is stored in the database to obtain coal quality analysis data.

[0032] It can be understood that the instantaneous amount of raw coal refers to the amount of coal that passes through the conveying equipment (such as a belt) within a certain period of time. The instantaneous amount of raw coal can be calculated by testing the speed parameters and force parameters (or weight) of the conveying equipment.

[0033] In some embodiments, after entering the coal quality analysis data and obtaining the instantaneous coal content of the raw coal, it also includes: adjusting the coal quality analysis data in real time based on a coal quality dynamic verification model; thereby adjusting the parameters of the coal quality analysis data to ensure the accuracy of the parameters.

[0034] Optionally, according to specific needs, correction and adjustment rules are set up to establish a dynamic coal quality verification model; the coal quality analysis data collected in real time is input into the coal quality dynamic verification model for dynamic verification; based on the verification results, it is determined whether there are errors or anomalies in the coal quality analysis data; if errors or anomalies are found in the coal quality analysis data, timely adjustments are made; the adjusted coal quality analysis data are fed back, and based on the feedback results, the verification model is optimized and adjusted to improve its accuracy and adaptability.

[0035] 200. Based on the coal quality analysis data and the instantaneous coal content of the raw coal, combined with the process calculation model, the production parameter indicators of each process operation link in the coal preparation process are calculated.

[0036] Specifically, based on the raw coal screening data, raw coal floating and sinking data, coal slime step-by-step release data and the instantaneous coal carrying capacity of the raw coal, the production parameter indicators of each process operation link in the coal preparation process are calculated in combination with the number and mass calculation model and the water volume calculation model; thereby, the efficiency and accuracy of the process design are improved through automated calculation models and algorithms.

[0037] On the basis of the above embodiment, the method of the embodiment of the present application can also be embodied as follows: the production parameter indicators of each process operation link in the coal preparation process are calculated based on the coal quality analysis data and the instantaneous coal content of the raw coal, combined with the process flow calculation model, including: 210. Screening process: Using the process flow calculation model and referring to the raw coal screening data, based on the set calculation rules, the input and output of each screening link in each process manufacturing environment are added up in terms of quantity and quality, and then reorganized in proportion.

[0038] It is understandable that before the screening process begins, the input material needs to be screened and analyzed to determine its particle size distribution and composition as basic data for subsequent screening process links; and screening standards are formulated based on production needs, such as sieve hole size, screening efficiency, etc. The screening standards are used to guide the operation and calculation of the entire screening process.

[0039] Among them, the screening process follows general calculation rules, including the law of conservation of materials and mass balance, etc., to ensure that the quantity and quality of the materials remain balanced during the screening process.

[0040] It is understandable that in each screening process, the number and quality of the input and output materials need to be added up; this includes the sum of the quantity (such as weight, volume, etc.) and quality (such as purity, particle size distribution, etc.) of the materials; through the sum calculation, it can be ensured that the quantity and quality of the materials are not lost or increased during the screening process.

[0041] In addition, according to the screening data and process requirements, the proportional relationship of each screening link is determined, including the ratio between materials of different particle sizes, the ratio between materials of different qualities, etc.; according to the determined proportional relationship, the screened materials are reorganized; ensure that the screened materials meet production requirements and provide suitable raw materials for subsequent process links.

[0042] 220. Heavy medium separation: Using the process flow calculation model and referring to the floating and sinking data, the input products are divided into set types of coal quality outputs according to different density levels. The coal quality outputs include the coal quality type of the outputs and the industrial analysis calculation data of the outputs.

[0043] Optionally, after multiple upstream processes, based on the floating and sinking data (i.e., the floating and sinking properties and density of the materials, etc.), the input products are divided into clean coal, gangue, medium coal and other outputs according to different density levels. At the same time, the outputs each carry their own coal quality data under the calculation model, i.e., industrial analysis calculation data; optionally, the industrial analysis calculation data include industrial analysis of coal (moisture content, ash content, volatile matter, fixed carbon, etc.), elemental analysis (content of carbon, hydrogen, oxygen, nitrogen, sulfur and other elements), lower calorific value, adhesiveness and slagging properties, particle size and specific gravity, etc.

[0044] 230. Desliming and de-mediuming stage: Desliming and de-mediuming operations are performed on the coal output with reference to the step-by-step release data of coal slime, and the medium data is calculated in parallel using the process flow calculation model.

[0045] Specifically, after the screening process, the coal will enter the desludging and de-mediuming stage. In the desludging stage, the coal will pass through a series of processing equipment to remove the mud and fine impurities in it; at the same time, in the desludging process, the calculation of medium data (such as water flow, pressure, concentration, etc.) is carried out in parallel.

[0046] In addition, during the de-mediation process, the coal will pass through equipment such as de-mediation screens to remove the medium in it; at the same time, during the de-mediation process, the calculation of medium data (such as medium flow, concentration, recovery rate, etc.) is also carried out in parallel.

[0047] 240. Obtain production parameter indicators for each process operation link in the coal preparation process; wherein, the production parameter indicators include the quality of each process number, the amount of water for each process, and the amount of medium for each process.

[0048] The above-mentioned covers the main links such as screening, flotation, desliming and de-mediation, realizing automatic calculation and optimization of the whole process from raw coal to products.

[0049] 300. According to the production parameter index, in combination with the equipment parameter allocation model, the production parameter index is allocated to the corresponding equipment according to the allocation rules.

[0050] It is understandable that the equipment parameter allocation model needs to be trained in advance according to specific production requirements to guide the allocation of production parameter indicators to corresponding equipment. Optionally, the equipment parameter allocation model includes the inherent attributes of the equipment, the working status of the equipment, and the allocation algorithm of the equipment. Among them, the allocation rules are formulated based on the equipment parameter allocation model to guide the specific allocation of production parameter indicators. Exemplarily, the allocation rules may include: priority rules, load balancing rules, and equipment compatibility rules.

[0051] 310. Obtain equipment sorting performance parameters.

[0052] It should be noted that the equipment analysis performance parameters are set according to the specific process and process equipment. For example, the sorting performance parameters of the crusher generally include: crushing capacity, feed particle size, discharge particle size, power and rotation speed.

[0053] 320. According to the production parameter index and the equipment sorting performance parameters, the production parameter index is allocated to each corresponding equipment in combination with the equipment parameter allocation model to obtain the equipment sorting parameters; wherein the equipment sorting parameters include the quantity and mass of each equipment, the water volume of each equipment and the medium volume of each equipment.

[0054] For example, equipment quantity and quality allocation: determine the quantity and quality of materials that each device should handle based on the equipment's processing capacity and production goals; consider factors such as equipment wear and maintenance status, and adjust the allocation to ensure stable operation of the equipment.

[0055] Exemplary, equipment water allocation: determine the amount of water required for each device based on the water demand of the production process; consider water recycling and water-saving measures, and optimize water allocation to reduce water waste.

[0056] Exemplary, equipment media quantity allocation: In processes such as heavy medium coal separation, determine the amount of media required for each device based on the equipment's media requirements and sorting efficiency; consider the recycling and replenishment strategies of the media to ensure the stability and efficiency of the sorting process.

[0057] 330. Combine production parameter indicators, equipment sorting parameters and production sequence to generate a production guidance strategy and send it to the data platform to provide process operation guidance to the data platform.

[0058] Specifically, the production parameter indicators include the quality of each process number, the water volume of each process and the medium volume of each process; the equipment sorting parameters include the quality of each equipment number, the water volume of each equipment and the medium volume of each equipment; the production sequence refers to the time sequence and stage division in the production process; the production parameter indicators and the production sequence are respectively matched, the equipment sorting parameters and the production sequence are matched, and the specific values ​​of the production parameter indicators and the equipment parameter indicators are implemented in the corresponding production sequence, thereby generating a production guidance strategy and sending it to the data platform, so that the subsequent process flow of the data platform can be operated according to the production guidance strategy to ensure the stability of the production process and improve product quality and production efficiency.

[0059] Therefore, the results of process calculations are linked to the production indicators on the production equipment side, so that the process production technical indicators can be transmitted to specific equipment on the production side as a basis for production; at the same time, the production sequence is set according to the actual downstream distance, material speed and other relationships on site, so as to truly reflect the spatial physical position of the upstream and downstream equipment and the logical judgment process of the production sequence.

[0060] Optionally, the production process flow is drawn into a process production flow chart, and the upstream and downstream information of the process operations in the chart has a one-to-one correspondence with the actual production situation, and the production sequence is determined. At this point, each device will have real-time coal flow, water flow, medium volume and some equipment parameters (current, etc.) and sensor parameters (flow, liquid level, temperature, etc.) connected to the system. These data are integrated and output in a unified manner, which truly links the process production indicators of the coal preparation plant with the equipment operation, and provides more comprehensive data layer support capabilities for the upper-level business system.

[0061] As described above, the embodiment of the present application inputs coal quality analysis data to obtain the instantaneous coal content of the raw coal; based on the coal quality analysis data and the instantaneous coal content of the raw coal, combined with the process flow calculation model, the production parameter indicators of each process operation link in the coal preparation process are calculated; according to the production parameter indicators, combined with the equipment parameter allocation model, the production parameter indicators are allocated to the corresponding equipment according to the allocation rules; through the automated calculation model and algorithm, the automatic calculation and optimization of the entire process from raw coal to product is realized, thereby improving the efficiency and accuracy of the process flow design.

[0062] In some embodiments, the process operations include: screening, crushing, desliming, two-product heavy medium separation, three-product heavy medium separation, pre-demediation, demediation, screening and dehydration, centrifugal dehydration, diversion, magnetic separation, hydraulic classification, coarse coal slime separation, flotation, concentration, mixed medium preparation, circulating water, filtration, distribution and blending; thus, a series of process operations are interrelated and coordinated with each other, forming a complete process of coal processing and improving the quality and utilization rate of coal.

[0063] In some embodiments, the production parameter indicators include quantity indicators and quality indicators; the quantity indicators include: output, yield, suspension volume, solid content in suspension, total amount of non-magnetic matter in suspension, total amount of magnetic matter in suspension, circulating water volume, reference flow rate; the quality indicators include: reference ash content, suspension density, non-magnetic matter content in suspension, magnetic matter content in suspension, solid weight per unit volume of suspension, and moisture content.

[0064] In the above implementation process, multiple production parameter data are integrated to facilitate dynamic adjustment. It can respond to factors such as changes in coal quality and production demand in real time, and automatically adjust process parameters, thereby optimizing process design and improving production efficiency and resource utilization.

[0065] As mentioned above, the existing coal preparation process design usually relies on human experience and complex manual calculations. The embodiment of the present application proposes an automated calculation method, which automatically designs and optimizes the coal preparation process through an algorithm or model, thereby reducing manual intervention, improving efficiency, and reducing human errors.

[0066] The embodiment of the present application establishes a dynamically adjusted system by integrating multiple data sources such as laboratory data, production data, and historical process parameters. The system can respond to factors such as changes in coal quality and production demand in real time, and automatically adjust process parameters to optimize process design, improve production efficiency and resource utilization, and recommend solutions based on the cause of the fault. The whole-process collaborative calculation method is used to evaluate the synergy between various links of the process, optimize the coordination between multiple links such as screening, re-selection, and flotation in the coal preparation process, so as to maximize resource utilization efficiency and minimize energy consumption. At the same time, the automatic calculation process is real-time and continuous; the coal preparation process is quickly simulated and verified in the design stage, avoiding the risks and long cycles of the traditional method of verifying the process design through actual production.

[0067] Thus, the embodiments of the present application improve computing efficiency: improve the efficiency and accuracy of process flow design through automated computing models and algorithms. Realize intelligent parameter tuning: dynamically adjust process parameters according to the characteristics of different types of coal to ensure the optimal design of the process flow. Support full process optimization: cover major links such as screening, re-selection, and flotation, and realize automatic calculation and optimization of the entire process from raw coal to product. Provide visualization support: through data visualization technology, intuitively display the process flow and calculation results to facilitate quick decision-making.

[0068] The above steps are not to be performed in a strict order as described in the numbers, but should be understood as an overall solution.

[0069] In the second aspect, based on the above embodiments, Figure 2 This is a schematic diagram of a structure of an automatic calculation device for a process flow in the coal preparation industry provided in an embodiment of the present application. Figure 2 The automatic calculation device for the process flow of the coal preparation industry provided in this embodiment specifically includes: a data acquisition module 201, a parameter calculation module 202 and a parameter allocation module 203.

[0070] Among them, the data acquisition module 201 is used to input coal quality analysis data and obtain the instantaneous coal content of the raw coal; the parameter calculation module 202 is used to calculate the production parameter indicators of each process operation link in the coal preparation process based on the coal quality analysis data and the instantaneous coal content of the raw coal, combined with the process flow calculation model; the parameter allocation module 203 is used to allocate the production parameter indicators to the corresponding equipment according to the allocation rules based on the production parameter indicators and the equipment parameter allocation model.

[0071] As described above, the embodiment of the present application inputs coal quality analysis data to obtain the instantaneous coal content of the raw coal; based on the coal quality analysis data and the instantaneous coal content of the raw coal, combined with the process flow calculation model, the production parameter indicators of each process operation link in the coal preparation process are calculated; according to the production parameter indicators, combined with the equipment parameter allocation model, the production parameter indicators are allocated to the corresponding equipment according to the allocation rules; through the automated calculation model and algorithm, the automatic calculation and optimization of the entire process from raw coal to product is realized, thereby improving the efficiency and accuracy of the process flow design.

[0072] The embodiments of the present application are highly efficient: by utilizing advanced data modeling and algorithms, the embodiments of the present application significantly improve the speed of process flow calculation and reduce the time cost of human intervention.

[0073] Intelligence: It adopts the technology of generating data collection and dynamic effectiveness of coal quality analysis. It can automatically calculate the production efficiency and balance sheet of the process link according to the real-time production data of the equipment and the artificial setting of process parameters, and has strong adaptability.

[0074] Accuracy: Through precise mathematical models and physical simulations, the embodiments of the present application can reduce errors caused by lack of human experience and ensure that the design results are more reliable.

[0075] Automated entire process: The embodiment of the present application breaks the limitations of traditional manual operations and the cumbersome process of repeated calculations, and achieves full automation from inputting raw coal data to outputting the final process plan, greatly improving efficiency.

[0076] Resource optimization: Provide test result solutions for different coal types and coal quality data, timely and efficiently calculate the relationship between quantity and quality at the process level under the current ratio, and reduce the complexity of manual operation.

[0077] It can be seen from this that the coal preparation process in the embodiment of the present application calculates the generation efficiency and the need for mass balance, which can provide the importance of providing technical indicators for generation, can timely discover the inefficient bottleneck equipment and mismatched feed conditions in production, and can provide positive production suggestions and improvement plans for the coal preparation process.

[0078] The automatic calculation device for the process flow of the coal preparation industry provided in the embodiment of the present application can be used to execute the automatic calculation method for the process flow of the coal preparation industry provided in the above embodiment, and has corresponding functions and beneficial effects.

[0079] In a third aspect, an embodiment of the present application further provides an electronic device that can integrate the automatic calculation device for the process flow of the coal preparation industry provided in an embodiment of the present application. Figure 3 Schematic diagram of the structure of an electronic device provided by an embodiment of the present application. Figure 3 The electronic device includes: an input device 33, an output device 34, a memory 32 and one or more processors 31; the memory 32 is used to store one or more programs; when the one or more programs are executed by the one or more processors 31, the one or more processors 31 implement the automatic calculation method of the process flow of the coal preparation industry as provided in the above embodiment. The input device 33, the output device 34, the memory 32 and the processor 31 can be connected by a bus or other means. Figure 3 The example of connecting through bus is taken in the following.

[0080] The processor 31 executes various functional applications and data processing of the device by running the software programs, instructions and modules stored in the memory 32, that is, realizes the above-mentioned automatic calculation method of the process flow of the coal preparation industry.

[0081] The electronic device provided above can be used to execute the automatic calculation method of the process flow in the coal preparation industry provided in the above embodiment, and has corresponding functions and beneficial effects.

[0082] In a fourth aspect, an embodiment of the present application also provides a computer-readable storage medium, which includes a stored computer program; wherein, when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the automatic calculation method of the coal preparation industry process flow as described above, and can achieve the same beneficial effects.

[0083] Of course, the storage medium containing computer executable instructions provided in the embodiment of the present application is not limited to the automatic calculation method for the process flow of the coal preparation industry as described above, but can also execute related operations in the automatic calculation method for the process flow of the coal preparation industry provided in any embodiment of the present application.

[0084] In a fifth aspect, the embodiments of the present application also provide a computer program product, and the methods described in the various embodiments of the present application can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer programs or instructions. When the computer program or instruction is loaded and executed on a computer, the processes or functions described in the various embodiments of the present application are executed in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, a network device, a user device, a core network device, an OAM (Open Application Model) or other programmable device.

[0085] The computer program or instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer program or instructions may be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired or wireless means. The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or data center that integrates one or more available media. The available medium may be a magnetic medium, such as a floppy disk, a hard disk, or a magnetic tape; it may also be an optical medium, such as a digital video disk; it may also be a semiconductor medium, such as a solid-state drive. The computer-readable storage medium may be a volatile or non-volatile storage medium, or may include both volatile and non-volatile types of storage media.

[0086] In several embodiments provided in the present application, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are merely schematic. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the devices, methods and computer program products according to multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of a code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0087] In addition, the functional modules in the various embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

[0088] If the function is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for enabling an electronic device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, and other media that can store program codes.

[0089] The above description is only an embodiment of the present application and is not intended to limit the scope of protection of the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the scope of protection of the present application. It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings.

[0090] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0091] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

Claims

1. A method for automatic calculation of process flow in coal preparation industry, characterized in that: The method comprises: Input coal quality analysis data to obtain the instantaneous coal content of raw coal; Based on coal quality analysis data and the instantaneous coal content of raw coal, combined with the process calculation model, the production parameter indicators of each process operation link in the coal preparation process are calculated; According to the production parameter index, combined with the equipment parameter allocation model, the production parameter index is allocated to the corresponding equipment according to the allocation rules; Among them, the production parameter indicators of each process operation link in the coal preparation process are calculated based on the coal quality analysis data and the instantaneous coal content of the raw coal, combined with the process calculation model, including: Adopting the process calculation model, referring to the raw coal screening data, based on the set calculation rules, the input and output of each screening link in each process manufacturing environment are summed up in terms of quantity and quality, and then reorganized in proportion; Adopting the process flow calculation model, referring to the floating and sinking data, and according to different density levels, the input products are divided into set types of coal quality outputs, wherein the coal quality outputs include the coal quality type of the outputs and the industrial analysis calculation data of the outputs; Refer to the step-by-step release data of coal slime to deslim and remove the medium from the coal output, and use the process flow calculation model to perform parallel calculation on the medium data; The production parameter indicators of each process operation link in the coal preparation process are obtained; among which, the production parameter indicators include the quality of each process, the water volume of each process and the medium volume of each process.

2. The automatic calculation method for the process flow of the coal preparation industry according to claim 1 is characterized in that: The production parameter indicators are allocated to corresponding equipment according to the allocation rules in combination with the equipment parameter allocation model according to the production parameter indicators, including: Obtain equipment sorting performance parameters; According to the production parameter index and the equipment sorting performance parameter, the production parameter index is allocated to each corresponding equipment in combination with the equipment parameter allocation model to obtain the equipment sorting parameters; wherein the equipment sorting parameters include the quantity and mass of each equipment, the water volume of each equipment and the medium volume of each equipment; Combining production parameter indicators, equipment sorting parameters and production timing, a production guidance strategy is generated and sent to the data platform to provide process operation guidance to the data platform.

3. The automatic calculation method for the process flow of the coal preparation industry according to claim 1 is characterized in that: After inputting the coal quality analysis data and obtaining the instantaneous amount of raw coal, the following steps are also included: Real-time adjustment of coal quality analysis data is carried out based on the coal quality dynamic verification model.

4. The automatic calculation method for the process flow of the coal preparation industry according to claim 1 is characterized in that: The process operation links include: screening, crushing, desliming, two-product heavy medium separation, three-product heavy medium separation, pre-demediation, demediation, screening and dehydration, centrifugal dehydration, diversion, magnetic separation, hydraulic classification, coarse coal slime separation, flotation, concentration, combined medium preparation, circulating water, filtration, distribution and blending.

5. The automatic calculation method for the process flow of the coal preparation industry according to claim 1 is characterized in that: The production parameter indicators include quantity indicators and quality indicators; The quantitative indicators include: output, yield, suspension volume, solid content in suspension, total amount of non-magnetic matter in suspension, total amount of magnetic matter in suspension, circulating water volume, reference flow rate; The quality indicators include: reference ash content, suspension density, non-magnetic content in the suspension, magnetic content in the suspension, solid weight per unit volume of the suspension, and moisture.

6. An automatic calculation device for the process flow of coal preparation industry, characterized in that: include: Data acquisition module, used to input coal quality analysis data and obtain the instantaneous coal content of raw coal; The parameter calculation module is used to calculate the production parameter indicators of each process operation link in the coal preparation process based on the coal quality analysis data and the instantaneous coal content of the raw coal, combined with the process calculation model; A parameter allocation module is used to allocate the production parameter indicators to the corresponding equipment according to the allocation rules based on the production parameter indicators and the equipment parameter allocation model; Among them, the production parameter indicators of each process operation link in the coal preparation process are calculated based on the coal quality analysis data and the instantaneous coal content of the raw coal, combined with the process calculation model, including: Adopting the process calculation model, referring to the raw coal screening data, based on the set calculation rules, the input and output of each screening link in each process manufacturing environment are summed up in terms of quantity and quality, and then reorganized in proportion; Adopting the process flow calculation model, referring to the floating and sinking data, and according to different density levels, the input products are divided into set types of coal quality outputs, wherein the coal quality outputs include the coal quality type of the outputs and the industrial analysis calculation data of the outputs; Refer to the step-by-step release data of coal slime to deslim and remove the medium from the coal output, and use the process flow calculation model to perform parallel calculation on the medium data; The production parameter indicators of each process operation link in the coal preparation process are obtained; among which, the production parameter indicators include the quality of each process, the water volume of each process and the medium volume of each process.

7. An electronic device, characterized in that: include: A processor, a memory and a bus, wherein the processor is connected to the memory via the bus, and the memory stores computer-readable instructions. When the computer-readable instructions are executed by the processor, they are used to implement the automatic calculation method for the process flow of the coal preparation industry as described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which, when executed by a server, implements the method for automatically calculating the process flow of the coal preparation industry as described in any one of claims 1-5.

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