A collaborative scheduling system for smelting operations

Abstract

The application discloses a kind of collaborative scheduling systems for smelting operation, by three big stove intelligence collaborative scheduling module, three big stove operation scheduling adaptive adjustment module, car flexible scheduling module, smelting workshop operation scheduling three-dimensional visualization system and car positioning and automation control system composition;The application perceives smelting workshop three big stove production information and car operation information online, and virtually presents smelting workshop relevant information, auxiliary smelting workshop production control, realize whole element network connection and agile response, grasp overall production situation;The application improves and optimizes three big stove collaborative efficiency, improves the operation and execution efficiency of car, reduces car operation time and energy consumption at the same time, reduces the time loss of emergency handling, reduces cost and increases efficiency, and the application improves operating environment, reduces and eliminates car waiting, yielding and collision event, to improve and enhance the essential safety of smelting workshop.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of smelting operation collaborative scheduling, in particular to a collaborative scheduling system for smelting operation. BACKGROUND

[0002] At present, the scheduling of the three furnaces in the smelting plant is based on the experience of the planning personnel, taking into account production output, operation timing, operation rhythm and many other production scheduling procedures as well as special situation handling mechanisms to produce production scheduling. The operation scheduling method depends on the planning personnel on site, and it is difficult to comprehensively consider the production scheduling procedures and collaborative operation among the three furnaces, resulting in weak operation rhythm, especially in abnormal situations, it is difficult to quickly form an optimal production schedule to ensure production efficiency.

[0003] The crane scheduling task depends on the crane operator to execute, and because of the lack of crane position information, there is a possibility of collision when multiple cranes in the smelting workshop operate on the same track. This way of manually operating the crane based on experience has a long transportation time for the ladles among the three furnaces, resulting in low scheduling efficiency and, in serious cases, may cause safety accidents, making the entire scheduling process lack efficiency, stability and safety.

[0004] The coordination and collision avoidance scheduling among multiple cranes require manual coordination. Because the current state, task content and priority of the crane cannot be grasped in time, quick scheduling instructions cannot be formed, and abnormal situations cannot be decided in time, resulting in long empty flight time and waiting time of the crane, and low coordination efficiency among cranes. At the same time, the material hoisting operation and the production operation of the three furnaces lack linkage, and the overall coordination of smelting production cannot be achieved, affecting the production efficiency of the three furnaces.

[0005] Due to the limitations of detection means, the in-furnace combustion state and temperature field distribution of the flash smelting furnace cannot be obtained in real time, reducing the pertinence and effectiveness of production operation and equipment monitoring, and unable to make decisions and adjustments in time for abnormalities.

[0006] At present, the scheduling and operation of the cranes of the three furnaces in the smelting area are mainly dependent on personnel telephone or video for monitoring the operation status, lacking three-dimensional intuitive monitoring of the crane operation data, copper ladle data and three-furnace production rhythm data, which is not convenient for scheduling personnel to make judgments and decisions in time. SUMMARY

[0007] In order to solve the above problems, the purpose of the present application is to provide a collaborative scheduling system for smelting operation, which is used to assist scheduling personnel to make judgments and decisions in time.

[0008] In order to achieve the above technical purpose, the present application provides a collaborative scheduling system for smelting operation, comprising:

[0009] The three-furnace intelligent collaborative scheduling module is configured to generate a three-furnace operation schedule and three-dimensional visual data.

[0010] The three-furnace operation scheduling adaptive adjustment module is configured to form an optimal three-furnace collaborative operation schedule table according to the three-furnace operation schedule table and through a domain adaptive state transition algorithm.

[0011] The trolley positioning and automatic control system is configured to achieve accurate positioning of the trolley through UWB wireless carrier communication technology and generate trolley space position information.

[0012] The trolley flexible scheduling module is configured to generate an optimal trolley scheduling scheme through an intelligent optimization algorithm.

[0013] The smelting workshop operation scheduling three-dimensional visualization system is configured to perform three-dimensional visualization display, monitoring, positioning and analysis of the smelting workshop based on the three-dimensional visual data, the optimal three-furnace collaborative operation schedule table, the trolley space position information and the optimal trolley scheduling scheme.

[0014] Preferably, the three-furnace intelligent collaborative scheduling module is further configured to generate a three-furnace operation schedule table based on intelligent scheduling algorithms and on-site three-furnace collaborative scheduling experience, with product quality, cost and task time as targets and with knowledge guidance, and to comprehensively generate three-furnace product quality, production cost and processing time.

[0015] Preferably, the three-furnace operation scheduling adaptive adjustment module is configured to realize adaptive adjustment of three-furnace operation scheduling under complex uncertainty and to provide a theoretical basis for trolley flexible scheduling while ensuring yield and quality.

[0016] Preferably, the three-furnace operation scheduling adaptive adjustment module is configured to realize rapid solution of the scheduling module through mathematical programming and intelligent algorithm module decomposition technology based on the targets of minimizing the difference in start-up time, minimizing the difference in processing machine assignment and maximizing the completion time, and to realize efficient adaptive adjustment of three-furnace operation scheduling under machine failure uncertainty.

[0017] Preferably, the three-furnace operation scheduling adaptive adjustment module is further configured to form a three-furnace collaborative operation schedule table based on the results of evolutionary analysis and situation assessment of uncertain problems, to add uncertain parameters based on the three-furnace intelligent collaborative scheduling formed by knowledge guidance, to correct the constraint conditions and objective functions of the original scheduling module, and to solve the adaptive adjustment problem of three-furnace operation scheduling under processing time uncertainty based on a robust optimization method to ensure the feasibility of the scheduling scheme, realize adaptive adjustment of three-furnace operation scheduling under processing time uncertainty, and generate an optimal three-furnace collaborative operation schedule table.

[0018] Preferably, the travelling crane positioning and automatic control system is further used for building a wireless pulse transmitting and receiving terminal based on the UWB wireless carrier communication technology, calculating the distance between the transmitting terminal and the receiving terminal based on the time-of-flight method, describing the three-dimensional coordinates of the smelting workshop, and generating the travelling crane space position information.

[0019] Preferably, the travelling crane positioning and automatic control system is further used for adopting multi-motor intelligent linkage control to ensure the stable operation of the travelling crane at high speed, realizing the control of the travelling crane motor, receiving the feedback information of each functional unit of the distance measuring terminal through the control of various mechanical, electrical and hydraulic devices of the travelling crane, outputting comprehensive control commands through the intelligent control algorithm, and realizing the accurate control of the position of the travelling crane.

[0020] Preferably, the travelling crane flexible scheduling module is used to solve the problem of low solving efficiency of the travelling crane scheduling module under the driving of multiple tasks and multiple targets, and a parallel particle swarm optimization algorithm with a taboo table is used for solving, so that the solving speed of the travelling crane scheduling problem is accelerated without reducing the solving accuracy, wherein the multiple tasks and multiple targets driving are used to represent the problems of considering the travelling crane operation time, anti-collision of multiple travelling cranes on the same rail, scheduling material priority, scheduling task priority and inter-process cooperation, and the shortest travelling distance of the travelling crane, load balancing between the travelling cranes on the same span and the shortest total transportation time of all lifting tasks are taken as the targets, and the time and space constraints of the travelling crane operation are considered.

[0021] Preferably, the travelling crane flexible scheduling module is further used for providing theoretical basis based on the three-furnace operation scheduling adaptive adjustment module, and the optimal plan table of the three-furnace collaborative operation and the travelling crane space position information, and solving the optimal scheduling scheme of the travelling crane through a heuristic algorithm and a parallel particle swarm optimization algorithm with a taboo table.

[0022] Preferably, the smelting workshop operation scheduling three-dimensional visualization system is further used for rescheduling the three-furnace operation based on the adaptive adjustment method under complex uncertainty, updating the travelling crane transportation task, and re-obtaining the optimal path of the travelling crane transportation based on the travelling crane scheduling module; and based on the optimal collaborative operation table of the three furnaces, the travelling crane space position information and the optimal scheduling scheme of the travelling crane, fine modeling is carried out based on the three-dimensional visualization technology and the digital twin technology, and the smelting workshop is displayed in three dimensions.

[0023] The present application discloses the following technical effects:

[0024] The present application is based on intelligent scheduling algorithm and field three-furnace collaborative scheduling experience, and takes product quality, cost and task time as the target, constructs a knowledge-guided three-furnace intelligent collaborative scheduling module, solves the problem, formulates the optimal operation plan table of the three furnaces, controls the operation rhythm, and realizes the knowledge-guided efficient intelligent collaborative scheduling of the three furnaces.

[0025] The application constructs a three-furnace operation scheduling adaptive adjustment module under complex uncertainty and solves it, realizes three-furnace operation scheduling adaptive adjustment under complex uncertainty, and provides a theoretical basis for flexible train scheduling while ensuring yield and quality.

[0026] The application uses UWB wireless ultra-wideband technology to construct a train positioning hardware system, realizes non-contact accurate positioning of the car, the trolley and the main and auxiliary hooks, and obtains three-dimensional coordinates of train operation.

[0027] The application realizes train operation automation, intelligent scheduling, efficient collaboration and three-dimensional visualization of smelting plant scheduling operation by designing a train automatic control system.

[0028] The application considers the constraints of anti-collision of multiple trains on the same track, scheduling task priority, scheduling material priority and abnormal conditions, constructs a flexible train scheduling module driven by multiple tasks and multiple targets and solves it, realizes intelligent scheduling of the train in the shortest time, reduces the heat loss after the copper matte is discharged and the waiting time of the converter, and enhances the effective control of the production rhythm of the three furnaces.

[0029] The application constructs a three-dimensional visualization system for smelting plant operation scheduling based on three-dimensional visualization technology and digital twin technology, online perceives smelting plant production information and train operation information, and virtually presents related information of the smelting plant, assists in production control of the smelting plant, realizes full-factor network connection and agile response, and grasps the overall production situation.

[0030] The application realizes production rhythm and timing optimization control in the smelting area, combines the train semi-automatic + remote control driving system, stereoscopically monitors the execution of the operation scheduling and the state of all trains in the smelting plant, responds, executes and feeds back the hoisting task in time, improves the hoisting efficiency of the train, reduces the running accidents of the train, and improves the operation rate.

[0031] The application improves and optimizes the collaborative efficiency of the three furnaces, improves the operation and execution efficiency of the train, reduces the operation time and energy consumption of the train, and reduces the time loss in emergency handling, thereby reducing costs and increasing efficiency.

[0032] The application improves the operating environment, reduces and eliminates the occurrence of train waiting, yielding and collision events, thereby improving the intrinsic safety of the smelting plant. BRIEF DESCRIPTION OF DRAWINGS

[0033] In order to more clearly illustrate the technical solutions in the embodiments of the application or the prior art, the drawings needed in the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0034] Figure 1 is a schematic diagram of the system structure described in the present application.

[0035] Figure 2 is a schematic diagram of the three-furnace intelligent collaborative scheduling system framework described in the present application.

[0036] Figure 3 is a schematic diagram of the driving coordinate based on UWB described in the present application.

[0037] Figure 4 is a schematic diagram of the multi-task multi-target driven driving flexible scheduling system described in the present application.

[0038] Figure 5 is a schematic diagram of the multi-task multi-target driven driving flexible scheduling system described in the present application. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, not all the embodiments. The components of the embodiments of the present application described and shown in the drawings herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the claimed present application, but only represents selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative work belong to the scope of protection of the present application.

[0040] As shown in Figures 1-5 , the present application provides a smelting operation collaborative scheduling system, which is composed of a three-furnace intelligent collaborative scheduling module, a three-furnace operation scheduling adaptive adjustment module, a driving flexible scheduling module, a smelting workshop operation scheduling three-dimensional visualization system and a driving positioning and automatic control system. The three-furnace intelligent collaborative scheduling module generates a three-furnace operation schedule table and inputs it to the three-furnace operation scheduling adaptive adjustment module, which adjusts the three-furnace operation schedule table. The three-furnace intelligent collaborative scheduling module also provides data basis for the smelting workshop operation scheduling three-dimensional visualization system, and establishes the smelting workshop operation scheduling three-dimensional visualization system based on the data. The three-furnace operation scheduling adaptive adjustment module provides data to the driving flexible scheduling module, which provides the data to the smelting workshop operation scheduling three-dimensional visualization system after processing. The driving positioning and automatic control system provides technical basis for the driving flexible scheduling module and provides spatial information for the smelting workshop operation scheduling three-dimensional visualization system.

[0041] The application builds three furnace intelligent collaborative scheduling modules of product quality, production cost and processing time.

[0042] The application adopts field self-adaptive state transfer algorithm to form the optimal three furnace collaborative operation schedule.

[0043] The application adopts UWB wireless carrier communication technology to realize accurate positioning of the trolley.

[0044] The application provides a parallel particle swarm optimization algorithm with a taboo list to solve the trolley scheduling scheme, and realizes flexible scheduling of the trolley driven by multiple tasks and multiple targets.

[0045] The application takes the optimal three furnace collaborative operation schedule, trolley space position information and optimal trolley scheduling scheme as data basis, and performs fine modeling based on three-dimensional visualization technology and digital twin technology, and builds a three-dimensional visualization system integrating three-dimensional display, monitoring, positioning and analysis of the smelting workshop.

[0046] The three furnace intelligent collaborative scheduling module is based on intelligent scheduling algorithm and field three furnace collaborative scheduling experience, and is constructed by taking product quality, cost and task time as targets and knowledge guidance.

[0047] The three furnace efficient intelligent collaborative scheduling is based on the obtained optimal three furnace operation schedule, and controls the operation rhythm.

[0048] The three furnace operation scheduling self-adaptive adjustment module realizes self-adaptive adjustment of three furnace operation scheduling under complex uncertainty, guarantees yield and quality, and provides a theoretical basis for flexible scheduling of the trolley.

[0049] The three furnace operation scheduling self-adaptive adjustment module analyzes the evolution mechanism, space-time characteristics and influence of uncertain events on three furnace operation schedule and rhythm in the copper smelting production process.

[0050] The three furnace collaborative scheduling adopts intelligent optimization algorithm solving modules such as neighborhood self-adaptive state transfer algorithm to form the optimal three furnace collaborative operation schedule.

[0051] The three furnace operation scheduling self-adaptive adjustment module takes minimizing the difference degree of start-up time, minimizing the difference degree of processing machine assignment and maximizing the completion time as targets.

[0052] The three furnace operation scheduling self-adaptive adjustment module realizes fast solving of the scheduling module based on mathematical programming, intelligent algorithm and other model decomposition technologies, and realizes efficient self-adaptive adjustment of three furnace operation scheduling under machine fault type uncertainty.

[0053] The three-furnace operation scheduling adaptive adjustment module is based on the evolution analysis and situation evaluation results of uncertain problems, takes the three-furnace intelligent collaborative scheduling formed by knowledge guidance as the basis, adds uncertain parameters, modifies the constraint conditions and objective functions of the original scheduling module, and solves the three-furnace operation scheduling adaptive adjustment problem under the processing time type uncertainty based on the robust optimization method, to ensure the feasibility of the scheduling scheme and efficiently realize the three-furnace operation scheduling adaptive adjustment under the processing time type uncertainty.

[0054] The trolley positioning and automatic control system uses UWB wireless carrier communication technology, builds wireless pulse transmission and receiving terminals at appropriate positions, calculates the distance between the transmission terminal and the receiving terminal based on the time-of-flight method, and constructs a trolley positioning hardware system.

[0055] The trolley positioning and automatic control system describes the three-dimensional coordinates of the smelting workshop based on UWB technology and ranging terminals, and realizes the spatial positioning of the trolley system.

[0056] The trolley positioning and automatic control system adopts multi-motor intelligent linkage control to ensure the stable operation of the trolley at high speed and realize trolley motor control.

[0057] The trolley positioning and automatic control system controls various mechanical, electrical, hydraulic and other operating units of the trolley, receives feedback information from various functional units such as ranging terminals, and outputs comprehensive control commands through intelligent control algorithms to realize accurate control of the trolley position.

[0058] The multi-task and multi-target driven comprehensive consideration of trolley operation time, anti-collision of multiple trolleys on the same rail, scheduling material priority, scheduling task priority, process coordination and other problems, with the shortest trolley travel distance, load balance between trolleys on the same span and the shortest total transportation time of all lifting tasks as the target, considering the time and space constraints of trolley operation.

[0059] The trolley flexible scheduling module solves the feasible trolley scheduling scheme through intelligent algorithms such as heuristic algorithm and parallel particle swarm optimization algorithm with tabu list.

[0060] The trolley flexible scheduling system solves the problem of low efficiency of the trolley scheduling module under multi-target and multi-task, and adopts intelligent optimization algorithms such as parallel particle swarm optimization algorithm with tabu list to solve the problem, which speeds up the solution speed of the trolley scheduling problem without reducing the solution accuracy.

[0061] The operation scheduling three-dimensional visualization system is based on the three-furnace operation scheduling adaptive adjustment method under complex uncertainty, re-schedules the three-furnace operation, updates the trolley transportation task, and re-obtains the optimal trolley transportation path based on the trolley scheduling module.

[0062] The operation scheduling three-dimensional visualization system: taking the three-furnace optimal collaborative operation table, the space position information of the crane and the optimal scheduling scheme of the crane as the data basis, based on three-dimensional visualization technology and digital twin technology, fine modeling is carried out, from the step-by-step visualization of the workshop, production line and equipment, the virtual environment of the smelting workshop is created, the workshop layout, production equipment model and production process are restored, and the space positions of various equipment are displayed, the workshop environment visualization, operation process visualization and equipment information visualization are realized, and the three-dimensional visualization system of the smelting workshop integrating three-dimensional display, monitoring, positioning and analysis is built.

[0063] The present application is described with reference to flowcharts and / or block diagrams of the method, device (system) and computer program product according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of the flows and / or blocks in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a device for implementing the functions specified in the flowchart and / or block diagram. Figure 1 The device for implementing the functions specified in one or more flows and / or blocks. Figure 1 The device for implementing the functions specified in one or more flows and / or blocks.

[0064] In the description of the present application, it should be understood that the terms "first", "second" are only for the purpose of description, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Therefore, the features defined with "first", "second" can explicitly or implicitly include one or more of the features. In the description of the present application, the meaning of "multiple" is two or more, unless otherwise specifically limited.

[0065] Obviously, those skilled in the art can make various modifications and variations to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalent technologies, the present application also intends to include these modifications and variations.

Claims

1. A collaborative scheduling system for smelting operations, characterized in that, include: The intelligent collaborative scheduling module for the three furnaces is used to generate operation plans for the three furnaces, as well as 3D visualization data. The adaptive adjustment module for the three furnaces' operation scheduling is based on the evolution analysis and situation assessment results of uncertain problems. It uses the collaborative operation plan table of the three furnaces formed by the knowledge-guided intelligent collaborative scheduling of the three furnaces as a basis, adds uncertain parameters, corrects the constraints and objective function of the original scheduling module, and solves the adaptive adjustment problem of the three furnaces' operation scheduling under the uncertainty of processing time based on robust optimization methods. This ensures the feasibility of the scheduling scheme and generates the optimal collaborative operation plan table of the three furnaces after the adaptive adjustment of the three furnaces' operation scheduling under the uncertainty of processing time. The vehicle positioning and automation control system is used to achieve precise vehicle positioning and generate vehicle spatial location information through UWB wireless carrier communication technology. The flexible train scheduling module, based on the theoretical basis provided by the adaptive adjustment module for the operation scheduling of the three major furnaces, as well as the optimal plan table for the coordinated operation of the three major furnaces and the spatial location information of the train, solves the optimal train scheduling scheme through heuristic algorithms and parallel particle swarm optimization algorithms with tabu lists. The 3D visualization system for smelting workshop operation scheduling, based on an adaptive adjustment method under complex uncertainties, reschedules the operations of the three major furnaces, updates the crane transportation tasks, and re-obtains the optimal crane transportation path based on the crane scheduling module. Using the optimal collaborative operation table of the three major furnaces, the spatial location information of the cranes, and the optimal crane scheduling scheme as data foundation, it performs fine modeling based on 3D visualization technology and digital twin technology to provide a 3D visualization display of the smelting workshop. The three-furnace operation plan is generated based on intelligent scheduling algorithms and on-site collaborative scheduling experience of the three furnaces. It takes product quality, cost and task time as objectives and is guided by knowledge, and is generated by comprehensively considering the product quality, production cost and processing time of the three furnaces. The adaptive adjustment module for the operation scheduling of the three furnaces is also used to achieve adaptive adjustment of the operation scheduling of the three furnaces under complex uncertainties while ensuring output and quality, providing a theoretical basis for flexible scheduling of the crane. The adaptive adjustment module for scheduling the three furnaces is also used to achieve efficient adaptive adjustment of the scheduling of the three furnaces under uncertainties such as machine failure, by using module decomposition technology to quickly solve the scheduling module based on minimizing the difference in start-up time, minimizing the difference in machine assignment, and maximizing the completion time.

2. The collaborative scheduling system for smelting operations according to claim 1, characterized in that: The precise positioning of the vehicle and the generation of vehicle spatial location information through UWB wireless carrier communication technology specifically include: based on UWB wireless carrier communication technology, by setting up wireless pulse transmitting and receiving terminals, calculating the distance between the transmitting and receiving terminals based on the time-of-flight method, describing the three-dimensional coordinates of the smelting workshop, and generating the vehicle spatial location information.

3. The collaborative scheduling system for smelting operations according to claim 2, characterized in that: The vehicle positioning and automation control system is also used to adopt multi-motor intelligent linkage control to ensure high-speed and stable operation of the vehicle, realize vehicle motor control, and receive feedback information from various functional units of the ranging terminal by controlling various mechanical, electrical and hydraulic systems of the vehicle, and output comprehensive control commands through intelligent control algorithms to achieve precise control of the vehicle position.

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