Coke oven coking process management method, system and electronic equipment

Abstract

The application discloses a coke oven coking process management method and system and electronic equipment. The method first collects coking production data of coke pushing machines, coke blocking machines, coke tank cars and coal charging cars; according to the collected coking production data, coke oven hole group parameters, a coking cycle, a preset coking schedule and historical coke discharge times, the current coke discharge time of the coke oven hole group is determined; the coke pushing machine and the coke blocking machine push the coke in the coke oven hole group into the coke tank car according to the current coke discharge time, and update the current coke discharge time to the historical coke discharge time. In this way, the accuracy of the coke oven production data and the automation control level of the production equipment can be improved, the working efficiency of the production equipment is improved, and the foundation for full-automatic unmanned operation of the four machines is laid.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of coking, in particular to a coke oven coking progress management method and system and electronic equipment. BACKGROUND

[0002] With the continuous advancement of the intelligentization of the coking industry, for the four major locomotives of the coke pushing machine, the coke blocking machine, the coke tank car and the coal loading car, unmanned operation has become the main topic of research in major coking plants, and automatic collection and big data analysis of production data are also being gradually implemented. At present, for a 7.63m coke oven, the locomotive production data can only be recorded manually, and then manually input into the computer, calculate the relevant data and make reports. The operation process is prone to errors, and the production plan can only be manually arranged and printed for distribution. The staff needs to compare the actual production node with the planned node on site, and then adjust the subsequent production rhythm. This results in a low degree of automation of each production equipment, affecting production efficiency. SUMMARY

[0003] In view of the above problems, the present application is proposed in order to provide a coke oven coking progress management method, system and electronic equipment which overcomes the above problems or at least partially solves the above problems.

[0004] According to a first aspect of the present application, a coke oven coking progress management method is provided, comprising:

[0005] Collecting coking production data of the coke pushing machine, the coke blocking machine, the coke tank car and the coal loading car;

[0006] According to the collected coking production data, the coke oven cell group parameters, the coking cycle, the preset coking schedule and the historical coke discharge time, the current coke discharge time of the coke oven cell group is determined;

[0007] The coke pushing machine and the coke blocking machine push the coke in the coke oven cell group to the coke tank car according to the current coke discharge time, and update the current coke discharge time to the historical coke discharge time.

[0008] Optionally, according to the collected coking production data, the coke oven cell group parameters, the coking cycle, the preset coking schedule and the historical coke discharge time, the current coke discharge time of the coke oven cell group is determined, comprising:

[0009] Comparing the historical coke discharge time with the scheduled coke discharge time to determine a correction time; the coking schedule includes the scheduled coke discharge time corresponding to the historical coke discharge time;

[0010] According to the collected coking production data, the coke oven cell group parameters and the coking cycle, a predicted coke discharge time is determined;

[0011] According to the predicted coke discharge time and the correction time, the current coke discharge time of the coke oven cell group is determined.

[0012] Optionally, based on the predicted coking time and the correction time, the current coking time of the coke oven orifice is determined, including:

[0013] The correction time is compared with the correction threshold. If the correction time is less than the correction threshold, the current coking time of the coke oven hole group is determined based on the predicted coking time and the correction time.

[0014] If the correction time is greater than or equal to the correction threshold, the current coking time of the coke oven orifice is determined based on the predicted coking time and the correction threshold.

[0015] Optionally, coking production data includes the coking oven number, coking time, coking current, coking machine number, coking mode, coal leveling time, remaining coal quantity, and coal leveling mode of the coking pusher; the coal loading car number, coal loading oven number, coal loading time, coal loading quantity, raw coal density, and coal loading mode of the coal loading car; the car number and mode of the coking quencher; and the car number and mode of the coke tank car.

[0016] According to a second aspect of the present invention, a coking oven coking process management system is provided, comprising:

[0017] The data acquisition module is used to collect coking production data from the coke pusher, coke quencher, coke tank car, and coal charging car.

[0018] The server is used to store coking production data.

[0019] The coking calculation module is used to determine the current coking time of the coking oven orifice group based on the collected coking production data, coking oven orifice group parameters, coking cycle, preset coking plan table and historical coking time.

[0020] The coke discharge control module is used by the coke pusher and coke quencher to push the coke in the coke oven hole group into the coke car according to the current coke discharge time, and update the current coke discharge time to the historical coke discharge time.

[0021] Optionally, the coke output calculation module includes:

[0022] The comparison unit is used to compare the historical coking time with the planned coking time to determine the corrected time; the coking plan table includes the planned coking time corresponding to the historical coking time;

[0023] The prediction unit is used to determine the predicted coking time based on the collected coking production data, coke oven hole group parameters, and coking cycle.

[0024] The correction unit is used to determine the current coking time of the coke oven orifice group based on the predicted coking time and the correction time.

[0025] Optionally, the correction unit is also used to compare the correction time with the correction threshold. If it is less than the correction threshold, the current coking time of the coke oven orifice is determined based on the predicted coking time and the correction time. If it is greater than the correction threshold, the current coking time of the coke oven orifice is determined based on the predicted coking time and the correction threshold.

[0026] Optionally, the correction threshold can be set to 30 minutes.

[0027] Optionally, the coking process management system for coke ovens also includes:

[0028] The report generation module is used to generate production reports for coke oven borehole groups within a preset time period in response to time input operations.

[0029] According to a third aspect of the present invention, an electronic device is provided, comprising: 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 aforementioned coking process management method for coking ovens.

[0030] The above-described one or more technical solutions in the embodiments of this specification have at least the following technical effects:

[0031] It can improve the accuracy of coke oven production data and the level of automation control of production equipment, increase the working efficiency of production equipment, and lay the foundation for fully automatic unmanned operation of the four locomotives.

[0032] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and in order to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0033] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0034] Figure 1 A schematic diagram of an electronic device according to an embodiment of the present invention is shown.

[0035] Figure 2 A flowchart of a coking process management method for coke ovens according to an embodiment of the present invention is shown.

[0036] Figure 3 A schematic diagram of a coke oven coking process management system according to an embodiment of the present invention is shown.

[0037] Figure 4 A block diagram of the coking process management system for coke ovens according to an embodiment of the present invention is shown.

[0038] Icons: 100 - Electronic equipment; 10 - Coke oven coking process management device; 20 - Memory; 30 - Processor; 40 - Communication unit. Detailed Implementation

[0039] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0040] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0041] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

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

[0043] With the continuous advancement of intelligent manufacturing in the coking industry, unmanned operation has become a major research topic for the four main types of locomotives: coke pushers, coke quenchers, coke tank cars, and coal charging cars. Automatic data collection and big data analysis are also being gradually implemented. Currently, for 7.63m coke ovens, locomotive production data can only be recorded manually, then manually input into computers to calculate relevant data and generate reports. This process is prone to errors, and production plans can only be manually created, printed, and distributed. Staff need to be on-site to compare actual production milestones with planned milestones and adjust subsequent production schedules. This results in a low level of automation for various production equipment, impacting production efficiency.

[0044] Based on the above research, the inventors proposed a coking process management method, system, and electronic equipment for coke ovens. This system can automatically collect and store production-related data, facilitate data analysis, and send production plans to the four major locomotives, thus meeting the needs of fully automated unmanned operation of the four major locomotives.

[0045] Please see Figure 1 , Figure 1 This is a structural block diagram of an electronic device 100 provided in this embodiment. Figure 1 As shown, the electronic device may include a coke oven coking process management device 10, a memory 20, a processor 30, and a communication unit 40. The memory 20 stores machine-readable instructions that can be executed by the processor 30. When the electronic device 100 is running, the processor 30 and the memory 20 communicate with each other via a bus. The processor 30 executes the machine-readable instructions and performs the coke oven coking process management method.

[0046] The memory 20, processor 30, and communication unit 40 are electrically connected directly or indirectly to each other to achieve signal transmission or interaction. For example, these components can be electrically connected to each other through one or more communication buses or signal lines. The coke oven coking process management device 10 includes at least one software function module that can be stored in the memory 20 in the form of software or firmware. The processor 30 is used to execute the executable module (e.g., the software function module or computer program included in the coke oven coking process management device 10) stored in the memory 20.

[0047] The memory 20 may be, but is not limited to, random access memory (RAM), read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), etc.

[0048] In some embodiments, processor 30 is used to perform one or more functions described in this embodiment. In some embodiments, processor 30 may include one or more processing cores (e.g., a single-core processor (S) or a multi-core processor (S)). By way of example only, processor 30 may include a central processing unit (CPU), an application-specific integrated circuit (ASIC), an application-specific instruction-set processor (ASIP), a graphics processing unit (GPU), a physical processing unit (PPU), a digital signal processor (DSP), a field-programmable gate array (FPGA), a programmable logic device (PLD), a controller, a microcontroller unit, a reduced instruction set computing (RISC) computer, or a microprocessor, or any combination thereof.

[0049] For ease of explanation, only one processor is described in electronic device 100. However, it should be noted that electronic device 100 in this embodiment may also include multiple processors, and therefore the steps performed by one processor as described in this embodiment may also be performed jointly or individually by multiple processors. For example, if the server's processor performs steps A and B, it should be understood that steps A and B may also be performed jointly by two different processors or individually by one processor. For example, one processor performs step A, and a second processor performs step B, or the first and second processors jointly perform steps A and B.

[0050] In this embodiment, the memory 20 is used to store the program, and the processor 30 is used to execute the program after receiving the execution instruction. The process definition method disclosed in any implementation of this embodiment can be applied to the processor 30, or implemented by the processor 30.

[0051] The communication unit 40 is used to establish a communication connection between the electronic device 100 and other devices via a network, and to send and receive data via the network.

[0052] In some implementations, the network can be any type of wired or wireless network, or a combination thereof. By way of example only, the network may include wired networks, wireless networks, fiber optic networks, telecommunications networks, intranets, the Internet, local area networks (LANs), wide area networks (WANs), wireless local area networks (WLANs), metropolitan area networks (MANs), public switched telephone networks (PSTNs), Bluetooth networks, ZigBee networks, or near field communication (NFC) networks, or any combination thereof.

[0053] In this embodiment, the electronic device 100 may be, but is not limited to, a laptop computer, an ultra-mobile personal computer (UMPC), a netbook, a personal digital assistant (PDA), or other electronic devices. This embodiment does not impose any restrictions on the specific type of electronic device.

[0054] Understandably, Figure 1 The structure shown is for illustrative purposes only. The electronic device 100 may also have... Figure 1 Showing more or fewer components, or having with Figure 1 The different configurations shown. Figure 1 The components shown can be implemented using hardware, software, or a combination thereof.

[0055] based on Figure 1 The implementation architecture of this embodiment provides a coking oven coking process management method, which is based on... Figure 1 The electronic device 100 shown performs the following based on Figure 1 The structural diagram of the electronic device 100 shown illustrates in detail the steps of a coke oven coking process management method provided in this embodiment, in conjunction with... Figure 2 , Figure 3 As shown, the coking process management method for coke ovens includes steps 101 to 103:

[0056] Step 101: Collect coking production data from the coke pusher, coke quencher, coke car, and coal loading car;

[0057] Step 102: Based on the collected coking production data, coke oven hole group parameters, coking cycle, preset coking schedule, and historical coking time, determine the current coking time of the coke oven hole group.

[0058] Step 103: The coke pusher and coke quencher push the coke in the coke oven hole group into the coke car according to the current coke discharge time, and update the current coke discharge time to the historical coke discharge time.

[0059] A coke oven is a kiln used to produce coke from coal and is the main thermal equipment in coking. In actual coking production, there may be multiple coke ovens operating simultaneously, working in conjunction with the four main locomotives. For example, in this embodiment, there are two coke ovens, which constitute a coke oven borehole group. It should be noted that each coke oven has multiple carbonization chambers, and the number of carbonization chambers is also called the number of coke oven boreholes. In this embodiment, the coke oven borehole group refers to all the carbonization chambers of all coke ovens. During coking, coking is usually completed in all odd-numbered or even-numbered boreholes of a coke oven. The coke pusher, coke quencher, and coke car work together to push the coke out of the coke oven. Then the coke pusher, coke quencher, and coke car are inspected and repaired, and then the coking operation of the odd-numbered or even-numbered boreholes of the next coke oven is repeated.

[0060] The coke pusher, coke quencher, coke car, and coal charging car are collectively known as the four major locomotives, controlled by a coordinated locomotive system. The coke pusher is responsible for pushing the coal cake out of the coke oven after it has been burned into coke. The specific actions include opening the door, pushing the coke, cleaning the door and frame, and closing the oven door after the coal charging car has loaded coal. The coal charging car is responsible for loading the pre-tamped coal cake into the coke oven after the coke pusher has finished pushing the coke. The specific actions include opening the front baffle of the coal box, opening the coal wall, manually or automatically loading the coal into the coke oven furnace, locking the rear baffle and retracting the coal loading bottom plate, unlocking and retracting the rear baffle, closing the front baffle and the coal box wall after it is in place. The coke quencher works simultaneously with the coke pusher. While the coke pusher is pushing the coke, the coke quencher has already opened the oven door and aligned the coke guide grid, allowing the pushed coke to fall into the coke quenching car box through the grid, thus guiding the coke. The coke car is responsible for cooperating with the coke pusher and coke quencher. Before pushing the coke, it works with the coke quencher to align the furnace number and position its coke box at the outlet of the coke guide grid of the coke quencher above. During pushing, it catches the coke. After pushing is complete, the coke is transported away by the coke car locomotive to extinguish the fire.

[0061] The four locomotive coordination systems will collect data on the coke pusher's coke oven number, pushing time, pushing current, coke pusher number, pushing mode, leveling time, remaining coal quantity, and leveling mode. They will also collect data on the coal charging car's charging car number, coal charging oven number, coal charging time, coal charging quantity, raw coal density for each track, and coal charging mode. Additionally, they will collect data on the coke quencher's car number and mode, as well as the coke tank car's car number and mode. This data will be used as coking production data. The four locomotive coordination systems will aggregate this data and temporarily store it in the coordination system's data acquisition module.

[0062] This embodiment will also set up a server, which is connected to the network of the four major locomotive coordination systems and the coke oven control system. It can read coking data collected from the data acquisition module of the four major locomotive coordination systems, process it, and store it in the corresponding database to realize long-term storage of coking production data, providing data support for subsequent big data analysis and generation of various reports.

[0063] This embodiment takes into account that previous coking schedules required manual compilation, followed by printing and distribution. This method was inefficient and prone to errors, impacting coke oven output. Furthermore, while the coking schedule plans production for a specific time period, actual coking production activities should closely align with the schedule's rhythm. However, the coking schedule only predicts coking time; in actual production, the actual coking time may differ from the predicted time. Therefore, staff need to adjust subsequent production rhythms and maintenance schedules based on actual production conditions to ensure optimal alignment with the schedule.

[0064] Based on this, a method is proposed to determine the current coking time of a coking oven orifice group by collecting coking production data, coking oven orifice parameters, coking cycle, preset coking schedule, and historical coking time. The historical coking time refers to the most recent coking time. In another scenario, if this is the first coking operation, there is no historical coking time; in this case, the historical coking time is 0, and it has no impact on calculating the current coking time of the coking oven orifice group. The coking cycle refers to the time it takes for coal to turn into coke. Under stable production conditions, the coking cycle is almost fixed; in this embodiment, the coking cycle is approximately 30 hours. Coking oven orifice parameters refer to the number of coking ovens and the number of coking oven orifices. The coking schedule is a prediction of the coking time of the coking oven.

[0065] After determining the current coke pushing time, the coke pusher and coke quencher push the coke in the coke oven hole group into the coke car according to the current coke discharge time, and update the current coke discharge time to the historical coke discharge time.

[0066] In one optional implementation, the current coking time of the coking oven orifice is determined based on the collected coking production data, coking oven orifice parameters, coking cycle, preset coking schedule, and historical coking times. Specifically, this includes:

[0067] The historical coking time is compared with the planned coking time to determine the corrected time; the coking schedule includes the planned coking time corresponding to the historical coking time.

[0068] Based on the collected coking production data, coke oven hole group parameters, and coking cycle, the predicted coking time is determined.

[0069] Based on the predicted coking time and the correction time, the current coking time of the coke oven orifice is determined.

[0070] In detail, the actual coking time cannot always match the planned time. Some actual coking times may be ahead of or behind the planned coking time. To ensure that the overall production rhythm aligns as closely as possible with the established coking schedule, this embodiment compares the previous coking time with the planned coking time. In other words, it compares historical coking times with the planned coking time to obtain a correction time. If the correction time is positive, the previous coking time was behind the planned coking time; if the correction time is negative, the previous coking time was ahead of the planned coking time.

[0071] Therefore, after obtaining the correction time, the current coking time of the coke oven orifice can be determined based on the predicted coking time and the correction time, so as to match the production rhythm in the schedule as closely as possible.

[0072] It's important to note that situations where the coking cycle is ahead of schedule are relatively easy to handle, while those behind require a case-by-case discussion. This is because the coking cycle generally refers to the standard coking time. To keep up with production schedules, the coking cycle can be compressed, but the compression is limited, generally not exceeding 30 minutes. Excessive compression may result in incomplete coking. However, extending the coking cycle has little impact on coking production.

[0073] Based on this, the current coking time of the coke oven orifice is determined according to the predicted coking time and the correction time, specifically including:

[0074] The correction time is compared with the correction threshold. If the correction time is less than the correction threshold, the current coking time of the coke oven hole group is determined based on the predicted coking time and the correction time.

[0075] If the correction time is greater than or equal to the correction threshold, the current coking time of the coke oven orifice is determined based on the predicted coking time and the correction threshold.

[0076] In this embodiment, the correction threshold is 30 minutes. Of course, different production environments and coking cycles may result in different correction thresholds, which are not limited in this embodiment. The correction time is compared with the correction threshold. If the correction time is less than the correction threshold, the current coking time of the coke oven orifice is determined based on the predicted coking time and the correction time.

[0077] If the value is greater than 30 minutes, it indicates a delay of more than 30 minutes. In this case, the current coking time of the coke oven orifice is determined based on the predicted coking time and the correction threshold.

[0078] The coking process management method of this embodiment can improve the accuracy of coking oven production data and the level of automation control of production equipment, improve the working efficiency of production equipment, and lay the foundation for fully automatic unmanned operation of the four locomotives.

[0079] Based on the same inventive concept, please refer to the following: Figure 4 This embodiment also provides a coke oven coking process management system, including: a data acquisition module, a server, a coke discharge calculation module, and a coke discharge control module. It should be noted that the data acquisition module, coke discharge calculation module, and coke discharge control module can be integrated into the server or set up independently outside the server.

[0080] The data acquisition module is used to collect coking production data from coke pushers, coke quenchers, coke tank cars, and coal loading cars;

[0081] The server is used to store coking production data;

[0082] The coking calculation module is used to determine the current coking time of the coking oven orifice based on the collected coking production data, coking oven orifice parameters, coking cycle, preset coking schedule, and historical coking time.

[0083] The coke discharge control module is used by the coke pusher and coke quencher to push the coke in the coke oven hole group into the coke car according to the current coke discharge time, and update the current coke discharge time to the historical coke discharge time.

[0084] Optionally, the coke output calculation module includes:

[0085] The comparison unit is used to compare the historical coking time with the planned coking time to determine the corrected time; the coking plan table includes the planned coking time corresponding to the historical coking time;

[0086] The prediction unit is used to determine the predicted coking time based on the collected coking production data, coke oven hole group parameters, and coking cycle.

[0087] The correction unit is used to determine the current coking time of the coke oven orifice group based on the predicted coking time and the correction time.

[0088] Optionally, the correction unit is also used to compare the correction time with the correction threshold. If the correction time is less than the correction threshold, the current coking time of the coke oven orifice is determined based on the predicted coking time and the correction time. If the correction time is greater than or equal to the correction threshold, the current coking time of the coke oven orifice is determined based on the predicted coking time and the correction threshold.

[0089] Optionally, the correction threshold can be set to 30 minutes.

[0090] Optionally, the coking process management system for coke ovens also includes:

[0091] The report generation module is used to generate production reports for coke oven borehole groups within a preset time period in response to time input operations.

[0092] In summary, the coke oven coking process management system of this embodiment can improve the accuracy of coke oven production data and the level of automation control of production equipment, improve the working efficiency of production equipment, and lay the foundation for fully automatic unmanned operation of the four locomotives.

[0093] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working process of the coke oven coking process management system described above can be referred to the corresponding process in the aforementioned method, and will not be elaborated further here.

[0094] The above are merely various embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for managing the coking process of a coke oven, characterized in that, include: Collect coking production data from coke pushers, coke quenchers, coke tank cars, and coal loading cars; Based on the collected coking production data, coke oven hole group parameters, coking cycle, preset coking schedule, and historical coking time, the current coking time of the coke oven hole group is determined. The coke pusher and the coke quencher push the coke in the coke oven hole group into the coke car according to the current coke discharge time, and update the current coke discharge time to the historical coke discharge time. The process of determining the current coking time of the coking oven orifice group based on collected coking production data, coking oven orifice parameters, coking cycle, preset coking schedule, and historical coking times includes: The historical coking time is compared with the planned coking time to determine the corrected time; the coking schedule includes the planned coking time corresponding to the historical coking time. Based on the collected coking production data, coke oven hole group parameters, and coking cycle, the predicted coking time is determined. If the correction time is positive, then the correction time is compared with the correction threshold; If the correction time is less than the correction threshold, the coking cycle is compressed based on the predicted coking time and the correction time to determine the current coking time of the coke oven orifice group; if the correction time is greater than or equal to the correction threshold, the coking cycle is compressed based on the predicted coking time and the correction threshold to determine the current coking time of the coke oven orifice group. If the correction time is negative, the coking cycle is extended based on the predicted coking time and the correction time to determine the current coking time of the coke oven aperture group.

2. The coking process management method for coke ovens according to claim 1, characterized in that, The coking production data includes the coking oven number, coking time, coking current, coking machine number, coking mode, coal leveling time, remaining coal quantity, and coal leveling mode of the coking pusher; the coal loading car number, coal loading oven number, coal loading time, coal loading quantity, raw coal density, and coal loading mode of the coal loading car; the car number and mode of the coking quencher; and the car number and mode of the coke tank car.

3. A coke oven coking process management system, characterized in that, Use the coke oven coking process management method according to any one of claims 1-2; The system includes: The data acquisition module is used to collect coking production data from the coke pusher, coke quencher, coke tank car, and coal loading car. A server, wherein the server is used to store the coking production data; The coking calculation module is used to determine the current coking time of the coking oven orifice group based on the collected coking production data, coking oven orifice group parameters, coking cycle, preset coking plan table and historical coking time. The coke discharge control module is used by the coke pusher and the coke quencher to push the coke in the coke oven hole group into the coke car according to the current coke discharge time, and update the current coke discharge time to the historical coke discharge time.

4. The coke oven coking process management system according to claim 3, characterized in that, The coke output calculation module includes: The comparison unit is used to compare the historical coking time with the planned coking time to determine the corrected time; the coking plan table includes the planned coking time corresponding to the historical coking time. The prediction unit is used to determine the predicted coking time based on the collected coking production data, coke oven hole group parameters, and coking cycle. A correction unit is used to determine the current coking time of the coke oven orifice group based on the predicted coking time and the correction time.

5. The coke oven coking process management system according to claim 4, characterized in that, The correction unit is also used to compare the correction time with the correction threshold. If the correction time is less than the correction threshold, the current coking time of the coke oven hole group is determined based on the predicted coking time and the correction time. If the correction time is greater than or equal to the correction threshold, then the current coking time of the coke oven aperture group is determined based on the predicted coking time and the correction threshold.

6. The coke oven coking process management system according to claim 5, characterized in that, The correction threshold is 30 minutes.

7. The coke oven coking process management system according to claim 3, characterized in that, The coke oven coking process management system also includes: The report generation module is used to generate production reports for coke oven borehole groups within a preset time period in response to time input operations.

8. An electronic device, characterized in that, The electronic device includes: 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 method according to any one of claims 1-2.

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