Intelligent steel production and control method, system and equipment and storage medium

Abstract

The invention relates to an intelligent steel production and management and control method, system and equipment and a storage medium. The method comprises the steps that the molten iron temperature and the molten iron weight of molten iron to be smelted are obtained, and molten iron tank matching treatment is conducted on the molten iron to be smelted according to the molten iron temperature and the molten iron weight; a hot-metal ladle hoisting path is planned between the matched hot-metal ladle and the current steelmaking furnace, the temperature of molten iron entering the furnace of the hot-metal ladle is predicted according to the hot-metal ladle hoisting path, and steelmaking time parameters of the molten iron to be smelted are analyzed according to the temperature of the molten iron entering the furnace; and according to the steelmaking time parameters, the furnace machine production rhythm of the current steelmaking furnace is adjusted to conduct steelmaking treatment on the to-be-smelted molten iron, the steel billet state of the current steel billet obtained after steelmaking is obtained, and according to the steel billet state, the steel casting frequency of the current steel billet is planned to conduct steel rolling casting treatment on the current steel billet. The method has the effects of improving the management orderliness of the steel smelting scheduling data and improving the steel production efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of steel production management, and in particular to an intelligent steel production and control method and system. Background Art

[0002] In the current steel industry, steelmaking, ironmaking and steel rolling are the three core processes of steelmaking. From the perspective of the entire smelting process of steel-iron-materials, there are complex process operations in the production, circulation and smelting processes of steel smelting. In today's information technology, higher requirements are also placed on the intelligent management of the smelting connection of steel-iron-materials.

[0003] Existing steel production control is often manually controlled by smelting management personnel corresponding to steel, iron and materials. The production data corresponding to each operation process is recorded manually and resources are scheduled based on manual experience. However, there are complex business processes in each link, such as the process connection scheduling between molten iron preparation and steelmaking, and the process connection scheduling between steelmaking process and steel preparation. There is no information barrier in the method of manually recording the process data of each stage and scheduling resources, resulting in untimely information transmission between each link, which is easy to cause passive adjustment or production interruption in subsequent smelting processes, affecting the normal production of the entire steel smelting. The method of manually recording data and performing smelting scheduling in the existing technology restricts the improvement of steel production efficiency. Summary of the invention

[0004] In order to improve the orderliness of scheduling data management in the steel smelting process and thereby improve steel production efficiency, the present application provides an intelligent steel production and control method and system.

[0005] In the first aspect, the above-mentioned invention objective of the present application is achieved through the following technical solutions: An intelligent steel production and control method, comprising: Obtaining the molten iron temperature and molten iron weight of the molten iron to be smelted, and performing molten iron tank preparation processing on the molten iron to be smelted according to the molten iron temperature and the molten iron weight; Planning a lifting path for the molten iron ladle between the matched molten iron ladle and the current steelmaking furnace, and predicting the molten iron temperature of the molten iron ladle entering the furnace according to the lifting path for the molten iron ladle; Analyzing the steelmaking time parameter of the molten iron to be smelted according to the temperature of the molten iron entering the furnace, and adjusting the furnace machine production rhythm of the current steelmaking furnace according to the steelmaking time parameter to perform steelmaking treatment on the molten iron to be smelted; The billet state of the current billet obtained after steelmaking is obtained, and the steel casting times of the current billet are planned according to the billet state, and the current billet is subjected to steel roll casting processing.

[0006] By adopting the above technical scheme, the automated flow in the iron-steel-material connection smelting process is controlled, and in combination with the molten iron temperature and quality of the molten iron to be smelted, a suitable idle molten iron tank is selected to fill the molten iron to be smelted, which helps to improve the rationality of the utilization of the molten iron tank, and the molten iron tank lifting path is planned between the matched molten iron tank and the idle current steelmaking furnace, which helps to reasonably arrange the transportation work of multiple transportation lines according to the planned molten iron tank lifting path, and the molten iron temperature of the molten iron tank entering the furnace is predicted in combination with the heat dissipation performance of the molten iron on the molten iron tank lifting path, which helps to plan the smelting time of each molten iron tank, and provide Improve the orderliness of steelmaking production plan, and through the adjustment of the current furnace production rhythm, treat the smelting molten iron and the current existing steelmaking plan more coordinated, combined with the billet state of the billet obtained after smelting, plan the steel pouring times of the current billet, realize the automation of the steel pouring process, and carry out steel rolling and casting according to the current billet according to the steel pouring times, so as to obtain steel that meets the factory demand, improve the intelligent connection of the whole process of iron-steel-material, reduce human intervention in the process of process connection, and reasonably arrange the production plan and production rhythm of steel by orderly scheduling the current smelting data, thereby improving the efficiency of steel production.

[0007] In a preferred example, the present application can be further configured as follows: planning a lifting path for the molten iron ladle between the matched molten iron ladle and the current steelmaking furnace, and predicting the molten iron temperature of the molten iron ladle entering the furnace according to the lifting path for the molten iron ladle, specifically including: Obtaining the current furnace production rhythm of each current steelmaking furnace, and analyzing the best adapted steelmaking furnace for the molten iron ladle according to the current furnace production rhythm; Acquire real-time transport parameters of each transport line, analyze the idleness of the transport line between the best-matched steelmaking furnace and the molten iron ladle according to the real-time transport parameters, and obtain transport line idleness data; Planning a lifting path for the molten iron ladle between the molten iron ladle and the best-matched steelmaking furnace according to the idle data of the transportation line, and calculating the transportation time of the molten iron ladle along the lifting path for the molten iron ladle in combination with the weight of the molten iron; The temperature of the molten iron entering the molten iron ladle when it is transported to the optimally adapted steelmaking furnace is predicted based on the molten iron temperature and the molten iron transportation time.

[0008] By adopting the above technical scheme, combined with the current furnace production rhythm of each current steelmaking furnace, the best-suited steelmaking furnace that best matches the smelting needs of the molten iron ladle is found, the compatibility of the steelmaking furnace and each molten iron ladle is improved, and combined with the real-time transportation parameters of each molten iron bucket transportation line, the transportation idle situation between the best-suited steelmaking furnace and the molten iron ladle is analyzed, and the transportation idle data of the relevant transportation lines is found, which is helpful to reasonably configure the connecting routes according to the transportation idle data, and further plan the molten iron ladle lifting path between the molten iron ladle and the best-suited steelmaking furnace, improve the transportation efficiency of the transportation line, and combine the molten iron weight to calculate the molten iron ladle transportation time required for the transportation of the molten iron ladle on the molten iron ladle lifting path, which is helpful to analyze the corresponding molten iron heat dissipation temperature according to the molten iron ladle transportation time, and then accurately predict the molten iron temperature entering the furnace when the molten iron ladle is transported to the best-suited steelmaking furnace, thereby improving the prediction accuracy of the molten iron temperature entering the furnace.

[0009] In a preferred example, the present application may be further configured as follows: the molten iron ladle hoisting path between the molten iron ladle and the best-fit steelmaking furnace is planned according to the idle data of the transportation line, and the molten iron ladle transportation time of the molten iron ladle hoisting path is calculated in combination with the molten iron weight, and further includes: Analyze the single-line idle interval of each transportation line according to the transportation line idle data, and obtain the next transportation time of each transportation line; Analyze the transportation switching time node of the transportation line corresponding to the molten iron ladle lifting path according to the single-line idle interval and the next transportation time; When the actual transportation time of the molten iron ladle reaches the transportation switching time node, the molten iron ladle is controlled to switch to the next transportation line for transportation.

[0010] By adopting the above technical scheme, the single-line idle interval of each transport line is tracked in real time according to the idle data of the transport line, and the next transportation time of each transport line is obtained, which helps to manage the transportation timing of the molten iron ladle on each transport line, analyze the transportation switching time nodes of the transport line, regulate the actual transportation of the molten iron ladle on multiple transport lines, improve the transportation efficiency of the molten iron bucket, and when the actual transportation time of the molten iron ladle reaches the transportation switching time node, control the molten iron ladle to switch the transport line, and improve the timeliness of switching between the transport lines.

[0011] In a preferred example, the present application can be further configured as follows: analyzing the steelmaking time parameter of the molten iron to be smelted according to the temperature of the molten iron entering the furnace, and adjusting the furnace machine production rhythm of the current steelmaking furnace according to the steelmaking time parameter to perform steelmaking processing on the molten iron to be smelted, specifically including: Calculating the temperature deviation between the temperature of the molten iron entering the furnace and the preset steelmaking temperature, and performing temperature adjustment on the molten iron to be smelted according to the temperature deviation; Planning the feeding time and smelting time of the temperature-adjusted molten iron to be smelted, and superimposing the planned feeding time and smelting time to obtain the steelmaking time parameter of the molten iron to be smelted; According to the steelmaking time parameter, the complete steelmaking cycle of the molten iron to be smelted and the corresponding steelmaking process are analyzed to obtain smelting rhythm data that conforms to the molten iron to be smelted; The furnace production rhythm of the current steelmaking furnace is obtained, and the parameters of the furnace production rhythm are adjusted in combination with the smelting rhythm data, and the molten iron to be smelted is steel-made according to the adjusted furnace production rhythm.

[0012] By adopting the above technical scheme, combined with the temperature deviation value between the temperature of the molten iron entering the furnace and the preset steelmaking temperature, the molten iron to be smelted is temperature-adjusted, which helps to make the molten iron to be smelted reach the optimal smelting temperature, and plans the feeding time of the molten iron to be smelted and the smelting time after each feeding, which helps to better integrate each feeding with the molten iron to be smelted, and obtains the complete steelmaking time parameters of the molten iron to be smelted by superimposing the feeding time and the smelting time, which is convenient for arranging the steelmaking plan for the molten iron to be smelted and improving the rationality of the steelmaking production plan. By analyzing the complete steelmaking cycle of the molten iron to be smelted and the corresponding steelmaking process in each cycle, the smelting rhythm data of the molten iron to be smelted in the current steelmaking furnace is generated. Furthermore, the furnace machine production rhythm of the current steelmaking furnace is integrated and adjusted with the smelting rhythm data, and the current steelmaking furnace is controlled to perform steelmaking treatment on the molten iron to be smelted through the adjusted complete furnace machine production rhythm, and the furnace machine production rhythm of the current steelmaking furnace is automatically adjusted, which helps to improve the coordination of the furnace machine production rhythm of the current steelmaking furnace.

[0013] In a preferred example, the present application may be further configured as follows: the furnace production rhythm of the current steelmaking furnace is obtained, and the furnace production rhythm is adjusted in combination with the smelting rhythm data, and the molten iron to be smelted is steel-made according to the adjusted furnace production rhythm, and further includes: During the smelting process of the steel billet to be smelted with the molten iron, obtaining the charge flow data of the current steelmaking furnace; Analyzing the quality of the steel billet of the molten iron to be smelted according to the charge flow data, and adjusting the smelting production parameters of the current steelmaking furnace accordingly according to the steel billet quality analysis result; Analyzing the current fault factor corresponding to the abnormal production state of the current steelmaking furnace according to the adjusted smelting production parameters; The historical abnormal maintenance data of the current steelmaking furnace is obtained, a fault diagnosis process is performed on the current fault factor, and maintenance process is performed on the current steelmaking furnace according to the fault diagnosis result.

[0014] By adopting the above technical scheme, during the smelting process of the steel billet of the molten iron to be smelted, the charge flow data of the current steel-making furnace is obtained by recording the weight distribution of the current steel-making furnace, which is helpful to timely control the actual steel-making situation of the current steel-making furnace, and analyze the quality of the steel billet of the molten iron to be smelted according to the charge flow data, and timely adjust and correct the smelting production parameters of the current steel-making furnace to improve the timeliness of the smelting adjustment of the current steel-making furnace, and analyze the abnormal production state of the current steel-making furnace in combination with the smelting production parameters, which is helpful to evaluate the current fault factors of multiple influencing factors that produce the abnormal production state and the corresponding influencing intensity, improve the accuracy of the evaluation of the abnormal production state, and then combine the historical abnormal maintenance data as a diagnostic indicator, perform fault diagnosis on the current fault factor, and accurately trace the fault of the current abnormal production state, so as to automatically perform pre-maintenance processing on the current steel-making furnace in combination with the fault diagnosis result, improve the intelligent degree of fault diagnosis of the current steel-making furnace, and reduce the probability of abnormalities in the steelmaking process.

[0015] In a preferred example, the present application may be further configured as follows: the steel casting times of the current steel billet are planned according to the steel billet state, and the steel roll casting process is performed on the current steel billet, specifically including: Analyzing the current heat utilization rate of the steel billet according to the steel billet state, and calculating the molten steel receipt rate of the current steel billet according to the steel billet heat utilization rate; Obtaining a preset furnace discharge temperature of the current steel billet, and adjusting the steel casting times of the current steel billet according to the molten steel receiving rate and the furnace discharge temperature of the steel billet; According to the adjusted steel pouring times, the continuous casting process parameters of the current steelmaking furnace are adjusted, and the current steel billet is subjected to steel die-casting processing according to the adjusted continuous casting process parameters.

[0016] By adopting the above technical scheme, the heat utilization rate of the current steel billet is analyzed according to the state of the steel billet. The heat utilization rates of the steel billet in different states are different. The molten steel receipt rate of the current steel billet is calculated according to the thermal force of the steel billet, which is helpful to timely control the molten steel receipt situation in each state and improve the accuracy of the smelting control of the steel billet. In combination with the preset furnace discharge temperature, the steel pouring times of the current steel billet are adjusted so that the adjusted steel pouring times can match the molten steel receipt rate of the current steel billet, and the continuous casting process parameters of the current steelmaking furnace are adjusted accordingly according to the adjusted steel pouring times. By adjusting the continuous casting process, the current steel billet smelting is timely adjusted, and the current steel billet is subjected to steel die-casting according to the adjusted continuous casting process parameters, which is helpful to improve the adaptability between the die-casting process parameters and the current steel billet state.

[0017] In a preferred example, the present application may be further configured as follows: before analyzing the current heat utilization rate of the steel billet according to the steel billet state and calculating the molten steel receipt rate of the current steel billet according to the steel billet heat utilization rate, the method further includes: Obtaining the current billet size and billet tundish temperature of the billet, and calculating the difference between the billet tundish temperature and the preset steel grade outlet temperature; According to the furnace temperature difference and the size of the steel billet, a casting temperature compensation process is performed on the current steel billet to generate a casting time control strategy for the current steel billet; According to the pouring time control strategy, adjusting the current pouring start time node of the current steelmaking furnace and the single pouring time corresponding to the current pouring start time node; The steel billet casting state parameters corresponding to the single casting time are obtained, and the casting time of the next steel billet casting is pre-adjusted according to the steel billet casting state parameters.

[0018] By adopting the above technical scheme, combined with the billet size and billet middle bag temperature of the current billet, it is evaluated whether the current billet reaches the preset steel grade outlet temperature, and the outlet temperature difference of the current billet is calculated, which is helpful to timely adjust the billet middle bag temperature and reduce the temperature difference. According to the billet size and the outlet temperature difference, the current billet is subjected to casting temperature compensation processing, and the casting time control strategy of the current billet is generated in combination with the temperature compensation change of each casting under the current billet size, and the casting time control is accurately controlled to the change of each temperature compensation, thereby improving the casting time control accuracy of the current billet, and according to the casting time control strategy, the current start casting time node and the single casting time corresponding to the current start casting time node are comprehensively adjusted to improve the connection and continuity between multiple castings, and the casting time of the next billet is pre-adjusted in combination with the billet casting state parameters corresponding to the single casting time, thereby reducing the waiting time between the casting of adjacent billets.

[0019] In the second aspect, the above invention objective of the present application is achieved through the following technical solutions: An intelligent steel production and control system, comprising: A molten iron tank allocation module is used to obtain the molten iron temperature and the molten iron weight of the molten iron to be smelted, and to perform molten iron tank allocation processing on the molten iron to be smelted according to the molten iron temperature and the molten iron weight; The molten iron connection module is used to plan the molten iron ladle hoisting path between the matched molten iron ladle and the current steelmaking furnace, and predict the molten iron temperature of the molten iron ladle entering the furnace according to the molten iron ladle hoisting path; A steelmaking processing module, used for analyzing the steelmaking time parameter of the molten iron to be smelted according to the temperature of the molten iron entering the furnace, and adjusting the furnace machine production rhythm of the current steelmaking furnace according to the steelmaking time parameter to perform steelmaking processing on the molten iron to be smelted; The steel connection module is used to obtain the steel billet state of the current steel billet obtained after steelmaking, and plan the steel casting times of the current steel billet according to the steel billet state, and perform steel roll casting processing on the current steel billet.

[0020] By adopting the above technical scheme, the automated flow in the iron-steel-material connection smelting process is controlled, and in combination with the molten iron temperature and quality of the molten iron to be smelted, a suitable idle molten iron tank is selected to fill the molten iron to be smelted, which helps to improve the rationality of the utilization of the molten iron tank, and the molten iron tank lifting path is planned between the matched molten iron tank and the idle current steelmaking furnace, which helps to reasonably arrange the transportation work of multiple transportation lines according to the planned molten iron tank lifting path, and the molten iron temperature of the molten iron tank entering the furnace is predicted in combination with the heat dissipation performance of the molten iron on the molten iron tank lifting path, which helps to plan the smelting time of each molten iron tank, and provide Improve the orderliness of steelmaking production plan, and through the adjustment of the current furnace production rhythm, treat the smelting molten iron and the current existing steelmaking plan more coordinated, combined with the billet state of the billet obtained after smelting, plan the steel pouring times of the current billet, realize the automation of the steel pouring process, and carry out steel rolling and casting according to the current billet according to the steel pouring times, so as to obtain steel that meets the factory demand, improve the intelligent connection of the whole process of iron-steel-material, reduce human intervention in the process of process connection, and reasonably arrange the production plan and production rhythm of steel by orderly scheduling the current smelting data, thereby improving the efficiency of steel production.

[0021] On the third aspect, the above-mentioned purpose of the present application is achieved through the following technical solutions: A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned intelligent steel production and control method when executing the computer program.

[0022] Fourthly, the above-mentioned purpose of the present application is achieved through the following technical solutions: A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned intelligent steel production and control method.

[0023] In summary, the present application includes at least one of the following beneficial technical effects: 1. Control the automated flow of the iron-steel-material connection smelting process, and select suitable idle molten iron tanks to fill the molten iron to be smelted in combination with the molten iron temperature and quality of the molten iron to be smelted, which helps to improve the rationality of the use of molten iron tanks. The molten iron tank lifting path planning between the matched molten iron tank and the idle current steelmaking furnace helps to reasonably arrange the transportation work of multiple transportation lines according to the planned molten iron tank lifting path, and predict the molten iron temperature of the molten iron tank entering the furnace in combination with the heat dissipation performance of the molten iron on the molten iron tank lifting path, which helps to plan the smelting time of each molten iron tank and improve steelmaking efficiency. The orderliness of the production plan, and by adjusting the current furnace production rhythm, the smelting molten iron and the current existing steelmaking plan are more coordinated, and the steel pouring times of the current steel billet are planned in combination with the billet state obtained after smelting, so as to realize the automation of the steel pouring process, and the steel rolling and casting treatment is carried out according to the current steel billet with the steel pouring times, so as to obtain steel that meets the factory demand, improve the intelligent connection of the whole process of iron-steel-material, reduce human intervention in the process of process connection, and reasonably arrange the production plan and production rhythm of steel by orderly scheduling the current smelting data, thereby improving the efficiency of steel production. ; 2. Combined with the current furnace production rhythm of each current steelmaking furnace, find out the best-suited steelmaking furnace that best matches the smelting needs of the molten iron tank, improve the compatibility of the steelmaking furnace with each molten iron tank, and combine with the real-time transportation parameters of each molten iron tank transportation line to analyze the transportation idle situation between the best-suited steelmaking furnace and the molten iron tank, find the transportation idle data of the relevant transportation lines, which is helpful to reasonably configure the connection route according to the transportation idle data, and further plan the molten iron tank lifting path between the molten iron tank and the best-suited steelmaking furnace, improve the transportation efficiency of the transportation line, and combine the molten iron weight to calculate the molten iron tank transportation time required for the transportation of the molten iron tank on the molten iron tank lifting path, which is helpful to analyze the corresponding molten iron heat dissipation temperature according to the molten iron tank transportation time, and then accurately predict the molten iron temperature when the molten iron tank is transported to the best-suited steelmaking furnace, and improve the prediction accuracy of the molten iron temperature; 3. According to the idle data of the transport lines, the single-line idle interval of each transport line is tracked in real time for the operation of each transport line, and the next transportation time of each transport line is obtained, which is helpful to manage the transportation timing of the molten iron tank on each transport line, analyze the transportation switching time nodes of the transport lines, regulate the actual transportation of the molten iron tank on multiple transport lines, and improve the transportation efficiency of the molten iron tank. When the actual transportation time of the molten iron tank reaches the transportation switching time node, the molten iron tank is controlled to switch the transport line to improve the timeliness of switching between transport lines. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 This is a flow chart for implementing an intelligent steel production and control method in this embodiment.

[0025] Figure 2 It is a flow chart for implementing step S20 of the intelligent steel production control method of this embodiment.

[0026] Figure 3 It is a flow chart for implementing the transportation line switching of the intelligent steel production control method of this embodiment.

[0027] Figure 4 It is a flow chart for implementing step S30 of the intelligent steel production control method of this embodiment.

[0028] Figure 5 It is a flow chart for implementing fault diagnosis of the intelligent steel production control method of this embodiment.

[0029] Figure 6 It is a flow chart for implementing step S40 of the intelligent steel production control method of this embodiment.

[0030] Figure 7 It is a flow chart for realizing pouring time control by the intelligent steel production control method of this embodiment.

[0031] Figure 8 It is a structural block diagram of the intelligent steel production and control system of this embodiment.

[0032] Fig. 9 It is a schematic diagram of the internal structure of a computer device used to implement an intelligent steel production control method. DETAILED DESCRIPTION

[0033] The present application is further described in detail below in conjunction with the accompanying drawings.

[0034] In one embodiment, if Figure 1 As shown, the present application discloses an intelligent steel production and control method, which specifically includes the following steps: S10: obtaining the molten iron temperature and molten iron weight of the molten iron to be smelted, and performing molten iron ladle processing on the molten iron to be smelted according to the molten iron temperature and the molten iron weight.

[0035] Specifically, the temperature of the molten iron to be smelted is measured by a preset temperature measuring device such as an infrared thermal imaging sensor, and the mass of the molten iron to be smelted is collected by a preset weighing device, and according to the molten iron temperature and mass, the molten iron tank that is closest to all the molten iron tanks and can hold the current molten iron mass is found, and the molten iron to be smelted is processed by molten iron tank allocation, wherein the filling route of the molten iron tank can be used for molten iron tank position identification and filling and transportation route through electromagnetic microacoustic (EMMA) technology, including the iron tapping position, railway transportation route, steelmaking station route and the final iron casting area position reached.

[0036] S20: Planning a lifting path for the molten iron ladle between the matched molten iron ladle and the current steelmaking furnace, and predicting the molten iron temperature of the molten iron ladle entering the furnace according to the lifting path for the molten iron ladle.

[0037] Specifically, Figure 2 As shown, step S20 specifically includes the following steps: S201: Obtain the current furnace production rhythm of each current steelmaking furnace, and analyze the most suitable steelmaking furnace for the molten iron ladle according to the current furnace production rhythm.

[0038] Specifically, according to the existing or running smelting production plan data of each current steelmaking furnace, the current furnace production rhythm of each current steelmaking furnace is analyzed, including the molten steel production time data of the existing steelmaking plan, such as the station entry and exit time, ladle time, and steel-discharging time corresponding to the running steelmaking production plan; according to the current furnace production rhythm and the smelting resources required by the molten iron tank, the idle steelmaking furnace is found to be adapted to the molten iron tank, so as to obtain the best adapted steelmaking furnace for the molten iron tank.

[0039] S202: Acquire the real-time transportation parameters of each transportation line, analyze the idle situation of the transportation line that best matches the steelmaking furnace and the molten iron ladle according to the real-time transportation parameters, and obtain the idle data of the transportation line.

[0040] Specifically, according to the current transportation plan and waiting transportation plan of each transportation line, the real-time transportation situation of each transportation line is analyzed, including the actual transportation time and transportation idle time of each transportation plan, so as to analyze the idle situation of the transportation lines that best adapt to the steelmaking furnace and the molten iron tank, including the waiting idle time for each transportation line to complete the current transportation plan and wait for the next transportation plan, so as to obtain the idle data of the transportation lines.

[0041] S203: Planning a lifting path for the molten iron ladle between the molten iron ladle and the best-fitting steelmaking furnace according to the idle data of the transportation line, and calculating the transportation time of the molten iron ladle along the lifting path in combination with the weight of the molten iron.

[0042] Specifically, the molten iron ladle is planned to best adapt to the molten iron ladle lifting path between steel-making furnaces according to the idle data of the transportation lines, including splicing the idle time periods between multiple transportation lines, combining a complete molten iron ladle lifting path, analyzing the transportation driving power of the molten iron bucket in combination with the weight of the molten iron and transporting the molten iron while keeping the molten iron in a stable state, analyzing the transportation acceleration of the molten iron based on the transportation driving power and the weight of the molten iron, and then combining the complete molten iron ladle lifting path and the acceleration formula to calculate the molten iron ladle transportation time required for the best adaptation of the molten iron bucket transportation value to the steel-making furnace.

[0043] S204: According to the molten iron temperature and the molten iron transportation time, the molten iron temperature when the molten iron ladle is transported to the best-suited steelmaking furnace is predicted.

[0044] Specifically, the outside temperature on the lifting path of the molten iron ladle is obtained through a preset infrared imaging sensor, and the heat dissipation efficiency of the molten iron ladle during transportation is analyzed in combination with the temperature replacement efficiency. According to the molten iron transportation time, the heat dissipation of the molten iron temperature on the lifting path of the molten iron ladle is analyzed, so as to predict the molten iron temperature entering the furnace when the molten iron ladle transportation value is best adapted to the steelmaking furnace based on the heat dissipation condition, such as the molten iron temperature entering the furnace is equal to the initial molten iron temperature minus the heat dissipation temperature on the transportation route.

[0045] In this embodiment, Figure 3 As shown, after step S203, the following steps are further included: S2031: Analyze the single-line idle interval of each transportation line according to the transportation line idle data, and obtain the next transportation time of each transportation line.

[0046] Specifically, based on the idle data of the transportation lines, the single-line idle intervals of each transportation line are analyzed, such as the current transportation time of the molten iron bucket of the transportation line starting from the transportation starting point, when the current transportation time of the molten iron bucket reaches the preset transportation line safety distance, and the final transportation time required from the safety distance to the final transportation location. The time difference between the current transportation time and the final transportation time is calculated as the single-line idle interval, and combined with the start time node of the next transportation plan, the next transportation time corresponding to the next transportation plan of each transportation line is obtained.

[0047] S2032: Analyze the transportation switching time node of the transportation line corresponding to the molten iron ladle lifting path according to the single-line idle interval and the next transportation time.

[0048] Specifically, according to the multiple transportation lines between the molten iron ladle and the best-fit steelmaking furnace, the single-line idle intervals of the multiple transportation lines and the corresponding next transportation time are obtained, the multiple single-line idle time intervals are planned, and a molten iron ladle transportation route consisting of multiple single-line time intervals is generated, and before the next transportation time arrives, the molten iron bucket on the current transportation route is switched to the next transportation route for transportation until the molten iron ladle is transported to the best-fit steelmaking furnace, and the transportation switching time nodes of the multiple transportation lines are summarized to obtain the transportation switching time node data of the molten iron ladle lifting path.

[0049] S2033: When the actual transportation time of the molten iron ladle reaches the transportation switching time node, the molten iron ladle is controlled to switch to the next transportation line for transportation.

[0050] Specifically, the actual transportation time of the molten iron ladle is obtained, and when the actual transportation time reaches the corresponding transportation switching time node, the transportation tool such as a transport cart that transports the molten iron ladle is controlled to move the molten iron ladle to the next transportation route, and the transportation power of the next transportation route is controlled to transport the molten iron ladle. At the same time, the transportation plan data of the next transportation route and the current transportation route are synchronously updated to improve data synchronization.

[0051] S30: analyzing the steelmaking time parameters of the molten iron to be smelted according to the temperature of the molten iron entering the furnace, and adjusting the furnace machine production rhythm of the current steelmaking furnace according to the steelmaking time parameters to perform steelmaking processing on the molten iron to be smelted.

[0052] Specifically, Figure 4 As shown, step S30 specifically includes the following steps: S301: Calculate the temperature deviation between the temperature of the molten iron entering the furnace and the preset steelmaking temperature, and adjust the temperature of the molten iron to be smelted according to the temperature deviation.

[0053] Specifically, through the formula Calculate the temperature deviation between the molten iron temperature entering the furnace and the preset steelmaking temperature. When the temperature deviation between the molten iron temperature entering the furnace and the preset steelmaking temperature is higher, it is necessary to increase the furnace temperature of the molten iron to be smelted accordingly. When the difference between the temperature deviation between the molten iron temperature entering the furnace and the preset steelmaking temperature is smaller, the molten iron can be directly put into the furnace.

[0054] S302: planning the feeding time and smelting time of the temperature-adjusted molten iron to be smelted, and superimposing the planned feeding time and smelting time to obtain steelmaking time parameters of the molten iron to be smelted.

[0055] Specifically, the feeding time and smelting time of the temperature-adjusted molten iron to be smelted are coordinated planned, feeding is performed when the molten iron reaches a preset temperature value, the smelting time is controlled according to the smelting degree after adding, and the smelting time and feeding time are superimposed to obtain the steelmaking time parameters of the molten iron to be smelted.

[0056] S303: Analyze the complete steelmaking cycle of the molten iron to be smelted and the corresponding steelmaking process according to the steelmaking time parameters, and obtain smelting rhythm data that meets the molten iron to be smelted.

[0057] Specifically, the complete steelmaking cycle analysis is performed based on the steelmaking time parameters, and the changing time node of each steelmaking process is taken as a smelting rhythm. The smelting rhythm data of the molten iron to be smelted is obtained by sequentially correlating them according to the order of the steelmaking processes.

[0058] S304: Obtain the furnace production rhythm of the current steelmaking furnace, adjust the parameters of the furnace production rhythm in combination with the smelting rhythm data, and perform steelmaking processing on the molten iron to be smelted according to the adjusted furnace production rhythm.

[0059] Specifically, in combination with the current production rhythm of the steelmaking furnace, the parameters of the furnace production rhythm are adjusted for the smelting rhythm data, and the molten iron to be smelted is processed for steelmaking according to the adjusted furnace production rhythm.

[0060] In this embodiment, if Figure 5As shown, after step S304, the following steps are also included: S305: During the process of smelting the steel billet with the molten iron to be smelted, the charge flow data of the current steelmaking furnace is obtained.

[0061] Specifically, the weight distribution of each position of the steelmaking furnace is obtained according to the weight detection equipment preset on the current steelmaking furnace, and during the smelting process of the steel billet to be smelted with molten iron, the charge flow is analyzed according to the weight distribution changes at different positions in the steelmaking furnace, and combined with the current smelting process steps, the corresponding charge flow is recorded to obtain the charge flow data of the current steelmaking furnace.

[0062] S306: Analyze the quality of the steel billet to be smelted in the molten iron according to the charge flow data, and adjust the smelting production parameters of the current steelmaking furnace accordingly according to the steel billet quality analysis results.

[0063] Specifically, the flow of molten steel and the charging condition of the current steel grade are judged according to the charge flow data. The quality of the current billet to be smelted is analyzed based on the historical steelmaking data as a reference indicator and the requirements for the mechanical properties of the current steelmaking type, such as hardness and thickness. For example, when the smelting temperature meets the standard, the higher the charge fluidity, the less the current charge is, and the lower the charge fluidity, the more the current charge is. The quality of the billet can be judged according to the amount of charge. If it is within the preset charging range, it means that the quality of the billet is up to standard. If it is outside the preset charging range, it means that the quality of the billet needs to be improved. Therefore, the number of charging times of the current steelmaking furnace can be increased or decreased according to the billet analysis results to obtain the adjusted smelting production parameters.

[0064] S307: Analyze the current fault factor corresponding to the abnormal production state of the current steelmaking furnace according to the adjusted smelting production parameters.

[0065] Specifically, based on the adjusted smelting production parameters, including the control of the number of times and types of feeding, the adjustment of the smelting temperature, etc., the abnormal production status of the current steelmaking furnace is analyzed, and combined with the smelting historical records of the same grade of steel, a data comparison is made between the current smelting production parameters and the smelting historical records under the current smelting state, such as the difference in the number of times of feeding, the difference in the types of feeding, the smelting time difference, and the smelting temperature difference. The production parameters whose data comparison difference with the data in the smelting historical records exceeds a preset error value are taken as abnormal factors, and the corresponding data comparison difference is taken as the current fault factor.

[0066] S308: Acquire historical abnormal maintenance data of the current steelmaking furnace, perform fault diagnosis processing on the current fault factor, and perform maintenance processing on the current steelmaking furnace according to the fault diagnosis result.

[0067] Specifically, based on the historical smelting records of the current steelmaking furnace, data on abnormal conditions in the historical smelting records are extracted to obtain the historical abnormal maintenance data of the current steelmaking furnace. Combined with the matching situation between the historical abnormal maintenance data and the current fault factor, the specific cause of the current fault state is automatically analyzed, and the current steelmaking furnace is maintained in combination with the fault diagnosis results. For example, the smelting parameters of the current fault factor are adjusted using the historical abnormal maintenance data as the adjustment standard to make the final smelting state meet normal standards.

[0068] S40: Obtaining the billet state of the current billet obtained after steelmaking, planning the steel casting times of the current billet according to the billet state, and performing steel roll casting processing on the current billet.

[0069] Specifically, Figure 6 As shown, step S40 specifically includes the following steps: S401: Analyze the current heat utilization rate of the steel billet according to the state of the steel billet, and calculate the molten steel receipt rate of the current steel billet according to the heat utilization rate of the steel billet.

[0070] Specifically, according to the state of the steel billet, such as the quality of the steel billet under adjacent pouring, the current heat utilization rate of the steel billet is analyzed by the ratio of the quality difference of the steel billet before and after pouring to the quality of the steel billet before pouring, and combined with the total pouring molten steel quality of the current pouring, the product of the heat utilization rate of the steel billet and the total pouring molten steel quality is taken as the molten steel receipt rate of the current steel billet.

[0071] S402: Obtain the preset furnace discharge temperature of the current steel billet, and adjust the steel pouring times of the current steel billet according to the molten steel receiving rate and the furnace discharge temperature of the steel billet.

[0072] Specifically, the billet discharge temperature is set according to the steel type of the current billet, thereby obtaining the preset discharge temperature of the current billet, and the steel casting times of the current billet are increased or decreased according to the molten steel receiving rate and the billet discharge temperature.

[0073] S403: adjusting the continuous casting process parameters of the current steelmaking furnace according to the adjusted steel casting times, and performing steel die casting on the current steel billet according to the adjusted continuous casting process parameters.

[0074] Specifically, according to the adjusted number of steel pouring times, corresponding continuous casting process steps are increased or decreased, the pouring molten steel resources are readjusted, and the current steel billet is die-cast according to the adjusted continuous casting process parameters to obtain steel that meets the furnace requirements.

[0075] In this embodiment, Figure 7 As shown, before analyzing the current heat utilization rate of the steel billet according to the steel billet state and calculating the molten steel receipt rate of the current steel billet according to the heat utilization rate of the steel billet, it also includes: S404: Obtain the current billet size and billet tundish temperature of the billet, and calculate the furnace-out temperature difference between the billet tundish temperature and the preset furnace-out temperature of the steel grade.

[0076] Specifically, during the forging process of the current steel billet, a cross-sectional image of the current steel billet is obtained through a preset imaging device, the size of the current steel billet is obtained through image analysis, and the temperature of the steel billet middle package is obtained in combination with an infrared temperature sensing device. The temperature difference between the steel billet middle package temperature and the preset steel grade outlet temperature is calculated to obtain the outlet temperature difference.

[0077] S405: Perform casting temperature compensation processing on the current steel billet according to the furnace temperature difference and the steel billet size, and generate a casting time control strategy for the current steel billet.

[0078] Specifically, the optimal casting temperature of the current steel billet is analyzed according to the temperature difference out of the furnace and the size of the steel billet, the heat dissipation area of ​​the steel billet is analyzed according to the size of the steel billet, and the casting temperature of the steel billet after a single casting is calculated based on the current heat dissipation area. The casting times of the current steel billet are analyzed according to the casting temperature of the steel billet and the temperature difference out of the furnace, and the steel billet is cast according to the current casting times. The casting temperature compensation of the current steel billet is achieved through multiple castings, and the duration of each casting is summarized to obtain the casting time control strategy of the current steel billet.

[0079] S406: According to the pouring time control strategy, adjust the current pouring start time node of the current steelmaking furnace and the single pouring time corresponding to the current pouring start time node.

[0080] Specifically, combined with the pouring time control strategy, the current pouring start time node of the current steelmaking furnace is adjusted, and combined with the size and area of ​​the current steel billet, the single pouring time required for the comprehensive pouring of the current steel billet is analyzed, and the single pouring time of the current steelmaking furnace is adjusted accordingly to match the current pouring start time node.

[0081] S407: Obtain the steel billet casting state parameters corresponding to a single casting time, and pre-adjust the casting time of the next steel billet casting according to the steel billet casting state parameters.

[0082] Specifically, after a single pouring time ends, the casting status parameters of the current steel billet are obtained through image recognition, including complete pouring, incomplete pouring, etc., and the pouring molten steel corresponding to the single pouring is analyzed, and then the pouring time of the next steel billet is pre-adjusted. If it is currently in a complete pouring state, the next steel billet pouring is executed according to the pouring time control strategy; if it is currently in an incomplete pouring state, the pouring time of the next steel billet is extended.

[0083] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0084] In one embodiment, an intelligent steel production and control system is provided, and the intelligent steel production and control system corresponds to the intelligent steel production and control method in the above embodiment. Figure 8 As shown in the figure, the intelligent steel production and control system includes a molten iron tank distribution module, a molten iron connection module, a steelmaking processing module and a steel connection module. The detailed description of each functional module is as follows: The molten iron tank allocation module is used to obtain the molten iron temperature and molten iron weight of the molten iron to be smelted, and to allocate the molten iron tank to the molten iron according to the molten iron temperature and the molten iron weight.

[0085] The molten iron connection module is used to plan the molten iron ladle lifting path between the matched molten iron ladle and the current steelmaking furnace, and predict the molten iron temperature of the molten iron ladle entering the furnace based on the molten iron ladle lifting path.

[0086] The steelmaking processing module is used to analyze the steelmaking time parameters of the molten iron to be smelted according to the temperature of the molten iron entering the furnace, and adjust the furnace production rhythm of the current steelmaking furnace according to the steelmaking time parameters to perform steelmaking processing on the molten iron to be smelted.

[0087] The steel connection module is used to obtain the billet state of the current billet obtained after steelmaking, and plan the steel pouring times of the current billet according to the billet state, and perform steel roll-casting processing on the current billet.

[0088] Preferably, the iron-water connection module specifically includes: The steelmaking furnace adapter module is used to obtain the current furnace production rhythm of each current steelmaking furnace, and analyze the best adapted steelmaking furnace for the molten iron ladle according to the current furnace production rhythm.

[0089] The transport idleness analysis submodule obtains the real-time transport parameters of each transport line, analyzes the idleness of the transport line that best adapts to the steelmaking furnace and the molten iron ladle based on the real-time transport parameters, and obtains the transport line idleness data.

[0090] The path planning submodule is used to plan the molten iron ladle lifting path between the molten iron ladle and the best-fit steelmaking furnace according to the idle data of the transportation line, and calculate the molten iron ladle transportation time of the molten iron ladle lifting path based on the molten iron weight.

[0091] The temperature prediction submodule is used to predict the temperature of the molten iron entering the furnace when the molten iron ladle is transported to the best-suited steelmaking furnace based on the molten iron temperature and the molten iron transportation time.

[0092] Preferably, the path planning submodule further includes: The transport interval analysis submodule is used to analyze the single-line idle interval of each transport line according to the transport line idle data and obtain the next transport time of each transport line.

[0093] The switching node analysis submodule is used to analyze the transportation switching time node of the transportation line corresponding to the molten iron ladle lifting path according to the single-line idle interval and the next transportation time.

[0094] The transport line switching submodule is used to control the molten iron tank to switch to the next transport line for transportation when the actual transport time of the molten iron tank reaches the transport switching time node.

[0095] Specifically, the steelmaking processing module includes: The temperature difference adjustment submodule is used to calculate the temperature deviation between the temperature of the molten iron entering the furnace and the preset steelmaking temperature, and to adjust the temperature of the molten iron to be smelted according to the temperature deviation.

[0096] The steelmaking time planning submodule is used to plan the feeding time and smelting time of the molten iron to be smelted after temperature adjustment, and to superimpose the planned feeding time and smelting time to obtain the steelmaking time parameters of the molten iron to be smelted.

[0097] The smelting rhythm adjustment submodule is used to analyze the complete steelmaking cycle and the corresponding steelmaking process of the molten iron to be smelted according to the steelmaking time parameters, and obtain the smelting rhythm data that conforms to the molten iron to be smelted.

[0098] The steelmaking parameter adjustment submodule is used to obtain the furnace production rhythm of the current steelmaking furnace, and adjust the parameters of the furnace production rhythm in combination with the smelting rhythm data, and perform steelmaking processing on the molten iron to be smelted according to the adjusted furnace production rhythm.

[0099] Preferably, after the steelmaking parameter adjustment submodule, it also includes: The charge data acquisition submodule is used to obtain the charge flow data of the current steelmaking furnace during the smelting process of the steel billet to be smelted with molten iron.

[0100] The billet analysis submodule is used to analyze the quality of the billet to be smelted according to the charge flow data, and adjust the smelting production parameters of the current steelmaking furnace accordingly according to the billet quality analysis results.

[0101] The fault analysis submodule is used to analyze the current fault factor corresponding to the abnormal production state of the current steelmaking furnace according to the adjusted smelting production parameters.

[0102] The fault maintenance submodule is used to obtain the historical abnormal maintenance data of the current steelmaking furnace, perform fault diagnosis processing on the current fault factor, and perform maintenance processing on the current steelmaking furnace according to the fault diagnosis result.

[0103] Preferably, the steel connection module specifically includes: The data calculation submodule is used to analyze the current heat utilization rate of the steel billet according to the state of the steel billet, and calculate the molten steel receipt rate of the current steel billet according to the heat utilization rate of the steel billet.

[0104] The pouring adjustment submodule is used to obtain the preset furnace discharge temperature of the current steel billet, and adjust the steel pouring times of the current steel billet according to the molten steel receiving rate and the furnace discharge temperature of the steel billet.

[0105] The die-casting submodule is used to adjust the continuous casting process parameters of the current steelmaking furnace according to the adjusted steel pouring times, and perform steel die-casting on the current steel billet according to the adjusted continuous casting process parameters.

[0106] Preferably, before the data calculation submodule, it also includes: The temperature difference calculation submodule is used to obtain the current billet size and billet tundish temperature of the billet, and calculate the furnace temperature difference between the billet tundish temperature and the preset steel grade furnace temperature.

[0107] The duration control submodule is used to perform casting temperature compensation processing on the current steel billet according to the furnace temperature difference and the steel billet size, and generate the casting duration control strategy for the current steel billet.

[0108] The single pouring control submodule is used to adjust the current pouring time node of the current steelmaking furnace and the single pouring duration corresponding to the current pouring time node according to the pouring duration control strategy.

[0109] The pouring pre-adjustment submodule is used to obtain the steel billet pouring state parameters corresponding to a single pouring time, and pre-adjust the pouring time of the next steel billet pouring according to the steel billet pouring state parameters.

[0110] For the specific definition of the intelligent steel production and control system, please refer to the definition of the intelligent steel production and control method above, which will not be repeated here. Each module in the above-mentioned intelligent steel production and control system can be implemented in whole or in part by software, hardware and their combination. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0111] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Fig. 9As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store control data generated during the full process smelting of iron-steel-materials. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, an intelligent steel production and control method is realized.

[0112] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the steps of an intelligent steel production and control method are implemented.

[0113] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0114] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0115] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. An intelligent steel production and control method, It is characterized in that include: Obtaining the molten iron temperature and molten iron weight of the molten iron to be smelted, and performing molten iron tank preparation processing on the molten iron to be smelted according to the molten iron temperature and the molten iron weight; Planning a lifting path for the molten iron ladle between the matched molten iron ladle and the current steelmaking furnace, and predicting the molten iron temperature of the molten iron ladle entering the furnace according to the lifting path for the molten iron ladle; Analyzing the steelmaking time parameter of the molten iron to be smelted according to the temperature of the molten iron entering the furnace, and adjusting the furnace machine production rhythm of the current steelmaking furnace according to the steelmaking time parameter to perform steelmaking treatment on the molten iron to be smelted; The billet state of the current billet obtained after steelmaking is obtained, and the steel casting times of the current billet are planned according to the billet state, and the current billet is subjected to steel roll casting processing.

2. The intelligent steel production and control method according to claim 1, It is characterized in that The planning of the lifting path of the molten iron ladle between the matched molten iron ladle and the current steelmaking furnace, and predicting the molten iron temperature of the molten iron ladle entering the furnace according to the lifting path of the molten iron ladle, specifically includes: Obtaining the current furnace production rhythm of each current steelmaking furnace, and analyzing the best adapted steelmaking furnace for the molten iron ladle according to the current furnace production rhythm; Acquire real-time transport parameters of each transport line, analyze the idleness of the transport line between the best-matched steelmaking furnace and the molten iron ladle according to the real-time transport parameters, and obtain transport line idleness data; Planning a lifting path for the molten iron ladle between the molten iron ladle and the best-matched steelmaking furnace according to the idle data of the transportation line, and calculating the transportation time of the molten iron ladle along the lifting path for the molten iron ladle in combination with the weight of the molten iron; The temperature of the molten iron entering the molten iron ladle when it is transported to the optimally adapted steelmaking furnace is predicted based on the molten iron temperature and the molten iron transportation time.

3. The intelligent steel production and control method according to claim 2, It is characterized in that The method of planning a lifting path for the molten iron ladle between the molten iron ladle and the best-matched steelmaking furnace according to the idle data of the transportation line, and calculating the molten iron ladle transportation time of the lifting path for the molten iron ladle in combination with the molten iron weight, further includes: Analyze the single-line idle interval of each transportation line according to the transportation line idle data, and obtain the next transportation time of each transportation line; Analyze the transportation switching time node of the transportation line corresponding to the molten iron ladle lifting path according to the single-line idle interval and the next transportation time; When the actual transportation time of the molten iron tank reaches the transportation switching time node, the molten iron tank is controlled to switch to the next transportation line for transportation.

4. The intelligent steel production and control method according to claim 1, It is characterized in that The step of analyzing the steelmaking time parameter of the molten iron to be smelted according to the temperature of the molten iron entering the furnace, and adjusting the furnace production rhythm of the current steelmaking furnace according to the steelmaking time parameter to perform steelmaking processing on the molten iron to be smelted, specifically includes: Calculating the temperature deviation between the temperature of the molten iron entering the furnace and the preset steelmaking temperature, and performing temperature adjustment on the molten iron to be smelted according to the temperature deviation; Planning the feeding time and smelting time of the temperature-adjusted molten iron to be smelted, and superimposing the planned feeding time and smelting time to obtain the steelmaking time parameter of the molten iron to be smelted; According to the steelmaking time parameter, the complete steelmaking cycle of the molten iron to be smelted and the corresponding steelmaking process are analyzed to obtain smelting rhythm data that conforms to the molten iron to be smelted; The furnace production rhythm of the current steelmaking furnace is obtained, and the parameters of the furnace production rhythm are adjusted in combination with the smelting rhythm data, and the molten iron to be smelted is steel-made according to the adjusted furnace production rhythm.

5. The intelligent steel production and control method according to claim 4, It is characterized in that After obtaining the furnace production rhythm of the current steelmaking furnace, adjusting the parameters of the furnace production rhythm in combination with the smelting rhythm data, and performing steelmaking processing on the molten iron to be smelted according to the adjusted furnace production rhythm, the method further includes: During the smelting process of the steel billet to be smelted with the molten iron, obtaining the charge flow data of the current steelmaking furnace; Analyzing the quality of the steel billet of the molten iron to be smelted according to the charge flow data, and adjusting the smelting production parameters of the current steelmaking furnace accordingly according to the steel billet quality analysis result; Analyzing the current fault factor corresponding to the abnormal production state of the current steelmaking furnace according to the adjusted smelting production parameters; The historical abnormal maintenance data of the current steelmaking furnace is obtained, a fault diagnosis process is performed on the current fault factor, and maintenance process is performed on the current steelmaking furnace according to the fault diagnosis result.

6. The intelligent steel production and control method according to claim 1, It is characterized in that The step of planning the steel casting times of the current steel billet according to the steel billet state and performing steel roll casting on the current steel billet specifically includes: Analyzing the current heat utilization rate of the steel billet according to the steel billet state, and calculating the molten steel receipt rate of the current steel billet according to the steel billet heat utilization rate; Obtaining a preset furnace discharge temperature of the current steel billet, and adjusting the steel casting times of the current steel billet according to the molten steel receiving rate and the furnace discharge temperature of the steel billet; According to the adjusted steel pouring times, the continuous casting process parameters of the current steelmaking furnace are adjusted, and the current steel billet is subjected to steel die-casting processing according to the adjusted continuous casting process parameters.

7. The intelligent steel production and control method according to claim 6, It is characterized in that Before analyzing the current heat utilization rate of the steel billet according to the steel billet state and calculating the molten steel receipt rate of the current steel billet according to the steel billet heat utilization rate, the method further includes: Obtaining the current billet size and billet tundish temperature of the billet, and calculating the difference between the billet tundish temperature and the preset steel grade outlet temperature; According to the furnace temperature difference and the size of the steel billet, a casting temperature compensation process is performed on the current steel billet to generate a casting time control strategy for the current steel billet; According to the pouring time control strategy, adjusting the current pouring start time node of the current steelmaking furnace and the single pouring time corresponding to the current pouring start time node; The steel billet casting state parameters corresponding to the single casting time are obtained, and the casting time of the next steel billet casting is pre-adjusted according to the steel billet casting state parameters.

8. An intelligent steel production and control system, It is characterized in that include: A molten iron tank allocation module is used to obtain the molten iron temperature and the molten iron weight of the molten iron to be smelted, and to perform molten iron tank allocation processing on the molten iron to be smelted according to the molten iron temperature and the molten iron weight; The molten iron connection module is used to plan the molten iron ladle hoisting path between the matched molten iron ladle and the current steelmaking furnace, and predict the molten iron temperature of the molten iron ladle entering the furnace according to the molten iron ladle hoisting path; A steelmaking processing module, used for analyzing the steelmaking time parameter of the molten iron to be smelted according to the temperature of the molten iron entering the furnace, and adjusting the furnace machine production rhythm of the current steelmaking furnace according to the steelmaking time parameter to perform steelmaking processing on the molten iron to be smelted; The steel connection module is used to obtain the steel billet state of the current steel billet obtained after steelmaking, and plan the steel casting times of the current steel billet according to the steel billet state, and perform steel roll casting processing on the current steel billet.

9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, It is characterized in that When the processor executes the computer program, the steps of the intelligent steel production and control method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program. It is characterized in that When the computer program is executed by a processor, the steps of the intelligent steel production and control method according to any one of claims 1 to 7 are implemented.

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