CN112907387A - Intelligent scheduling system and method based on automobile pressure sensor production line - Google Patents
Intelligent scheduling system and method based on automobile pressure sensor production line Download PDFInfo
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Abstract
The invention belongs to the technical field of automobile production, and discloses an intelligent scheduling system and method based on an automobile pressure sensor production line. The method comprises the following steps: the invention receives order demand and production state parameters through a production plan module, and then generates a production plan according to the order demand and the production state parameters; the material demand management module generates demand information according to the production plan and the production line state information; the method comprises the steps that an AGV task scheduling module requires information to generate a task instruction; and the AGV trolley control module controls the AGV trolley to complete the material scheduling task according to the task instruction. In this way, satisfying the order demand and producing under the condition of line state, the real-time operating mode through producing the line carries out real-time adjustment to inside transportation to the automatic configuration of line material has been improved overall production efficiency in the realization, compares in the manpower and adjusts, has reduced because the risk that the error caused, has increased the reaction rate that the demand was supplied with.
Description
Technical Field
The invention relates to the technical field of automobile production, in particular to an intelligent dispatching system and method based on an automobile pressure sensor production line.
Background
With the continuous development of automation technology, the traditional manufacturing production line is developing towards automation and intellectualization, and the automobile pressure sensor production line is also facing to updating. Because in traditional production process, automobile pressure sensor's material is transported through artifical handling inefficiency, and inside logistics inefficiency has directly influenced holistic production efficiency, and this phenomenon of solution that can be fine through the AGV dolly, nevertheless the job task of AGV dolly can't combine with producing line demand and production plan organically among the prior art, forms a closed loop control system, and there is serious hysteresis quality and instability through the dispatch of manpower.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide an intelligent scheduling system and method based on an automobile pressure sensor production line, and aims to solve the technical problem that the production efficiency is low through manual scheduling in the prior art.
In order to achieve the above object, the present invention provides an intelligent dispatching system based on an automobile pressure sensor production line, comprising:
the system comprises a production planning module, a material demand management module, a central control module, an AGV task scheduling module and an AGV trolley control module;
the production plan module is used for receiving the order demand sent by the terminal equipment, acquiring production state parameters, generating a production plan according to the order demand and the production state parameters, and sending the production plan to the material demand management module;
the material demand management module is used for sending a production line state query request to the central control module when receiving the production plan;
the central control module is used for feeding back production line state information to the material demand management module when receiving the production line state query request;
the material demand management module is further used for generating demand information according to the production plan and the production line state information and sending the demand information to the AGV task scheduling module when the production line state information is received;
the AGV task scheduling module is used for generating a task instruction according to the demand information and sending the task instruction to the AGV trolley control module;
and the AGV trolley control module is used for controlling the AGV trolley to complete a material scheduling task according to the task instruction.
Optionally, the intelligent scheduling system based on the automobile pressure sensor production line further includes: a material preparation area management module;
the AGV trolley control module is further used for judging whether the AGV trolley needs to go to a material preparation area for carrying goods according to the task instruction, if the AGV trolley needs to go to the material preparation area for carrying goods, a goods carrying application instruction is generated, and the goods carrying application instruction is sent to the material preparation area management module;
the material preparation area management module is used for acquiring stock state information of the material preparation area when receiving the cargo application instruction, generating a cargo instruction according to the stock state information of the material preparation area, and sending the cargo instruction to a corresponding AGV trolley control module;
the AGV dolly control module is also used for controlling the AGV dolly to carry cargo according to the cargo carrying instruction.
Optionally, prepare materials district management module, still be used for receiving during the application instruction of carrying cargo, according to the application instruction of carrying cargo obtains target cargo type and AGV dolly positional information, according to target cargo type matches the goods shelves with AGV dolly positional information to obtain target goods shelves information, and according to target goods shelves information generation cargo instruction will cargo instruction sends to the AGV dolly control module that corresponds.
Optionally, the central control module is further configured to, when receiving the production line state query request, obtain production line material backlog information and production line current production information, and send the production line material backlog information and the production line current production information to the material demand management module;
the material demand management module is also used for receiving when producing line material backlog information and producing line current production information, according to produce line current production information calculation line material consumption rate, according to produce line material consumption rate with produce line material backlog information and generate demand information, with demand information sends to AGV task scheduling module.
Optionally, the material demand management module is further configured to generate priority information corresponding to the demand information according to the material consumption rate of the production line and the material backlog information of the production line when the demand information is generated, and send the priority information to the AGV task scheduling module;
and the AGV task scheduling module is also used for generating a task allocation strategy according to the priority information and allocating a task instruction according to the task allocation strategy when receiving the priority information.
Further, in order to achieve the above object, the present invention further provides an intelligent scheduling method based on an automobile pressure sensor production line, where the intelligent scheduling method based on the automobile pressure sensor production line is applied to an intelligent scheduling system based on the automobile pressure sensor production line, and the intelligent scheduling system based on the automobile pressure sensor production line includes: the system comprises a production planning module, a material demand management module, a central control module, an AGV task scheduling module and an AGV trolley control module;
the intelligent scheduling method based on the automobile pressure sensor production line comprises the following steps:
the production planning module receives an order demand sent by terminal equipment, acquires production state parameters, generates a production plan according to the order demand and the production state parameters, and sends the production plan to the material demand management module;
the material demand management module sends a production line state query request to the central control module when receiving the production plan;
the central control module feeds back production line state information to the material demand management module when receiving the production line state query request;
when receiving the production line state information, the material demand management module generates demand information according to the production plan and the production line state information, and sends the demand information to the AGV task scheduling module;
the AGV task scheduling module generates a task instruction according to the demand information and sends the task instruction to the AGV trolley control module;
and the AGV trolley control module controls the AGV trolley to complete a material scheduling task according to the task instruction.
Optionally, the intelligent scheduling system based on the automobile pressure sensor production line further includes: a material preparation area management module;
AGV dolly control module for according to the task instruction control AGV dolly accomplishes the material scheduling task, include:
the AGV trolley control module judges whether the AGV trolley needs to go to a material preparation area for carrying cargos or not according to the task instruction, if the AGV trolley needs to go to the material preparation area for carrying cargos, a cargo carrying application instruction is generated, and the cargo carrying application instruction is sent to the material preparation area management module;
the material preparation area management module acquires stock state information of the material preparation area when receiving the cargo application instruction, generates a cargo instruction according to the stock state information of the material preparation area, and sends the cargo instruction to a corresponding AGV trolley control module;
and the AGV trolley control module controls the AGV trolley to carry cargos according to the cargo carrying instruction.
Optionally, the management module in area of prepareeing material is receiving when the application instruction that carries cargo that AGV dolly control module sent obtains the area stock state information of prepareeing material, according to the area stock state information of prepareeing material generates the instruction that carries cargo, will the instruction that carries cargo sends to corresponding AGV dolly control module, include:
prepare material district management module and receiving during the application instruction of carrying cargo, according to the application instruction of carrying cargo obtains target cargo type and AGV dolly positional information, according to target cargo type matches the goods shelves with AGV dolly positional information to obtain target goods shelves information, and according to target goods shelves information generation cargo instruction will cargo instruction sends to the AGV dolly control module that corresponds.
Optionally, when receiving the production line state query request, the central control module feeds back production line state information to the material demand management module, where the production line state query request includes:
the central control module acquires the material backlog information of the production line and the current production information of the production line when receiving the query request of the production line state, and sends the material backlog information of the production line and the current production information of the production line to the material demand management module;
correspondingly, when the material demand management module receives the production line state information, the material demand management module generates demand information according to the production plan and the production line state information, and sends the demand information to the AGV task scheduling module, including:
the material demand management module receives when producing line material backlog information and producing line current production information, according to produce line current production information calculation and produce line material consumption rate, according to produce line material consumption rate with produce line material backlog information and generate demand information, will demand information send to AGV task scheduling module.
Optionally, the generating demand information according to the material consumption rate of the production line and the material backlog information, and sending the demand information to the AGV task scheduling module further includes:
when the material demand management module generates the demand information, priority information corresponding to the demand information is generated according to the material consumption rate of the production line and the material backlog information of the production line, and the priority information is sent to an AGV task scheduling module;
and when receiving the priority information, the AGV task scheduling module generates a task allocation strategy according to the priority information and allocates a task instruction according to the task allocation strategy.
The invention receives order demand and production state parameters through a production plan module, and then generates a production plan according to the order demand and the production state parameters; the material demand management module inquires the state of a production line when receiving the production plan; the central control module feeds back the state information of the production line by the material demand management module; the material demand management module generates demand information according to the production plan and the production line state information; the method comprises the steps that an AGV task scheduling module requires information to generate a task instruction; and the AGV trolley control module controls the AGV trolley to complete the material scheduling task according to the task instruction. Because satisfying the order demand and producing under the condition of line state, carry out real-time adjustment to inside transportation through the real-time operating mode of producing the line to the automatic configuration of line material has been improved whole production efficiency in the realization, compares in the manpower and adjusts, has reduced because the risk that the error caused, has increased the reaction rate that the demand was supplied with.
Drawings
FIG. 1 is a schematic structural diagram of a first embodiment of an intelligent dispatching system based on an automobile pressure sensor production line according to the present invention;
FIG. 2 is a schematic structural diagram of a second embodiment of an intelligent dispatching system based on an automobile pressure sensor production line according to the present invention;
FIG. 3 is a schematic flow chart of a first embodiment of an intelligent scheduling method based on an automobile pressure sensor production line according to the present invention;
fig. 4 is a structural block diagram of a second embodiment of the intelligent scheduling method based on the automobile pressure sensor production line.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic flow chart of a first embodiment of an intelligent dispatching system based on an automobile pressure sensor production line according to the present invention.
The intelligent scheduling system based on the automobile pressure sensor production line comprises: the system comprises a production planning module 10, a material demand management module 20, a central control module 30, an AGV task scheduling module 40 and an AGV trolley control module 50;
it should be understood that, in this embodiment, the production planning module 10, the material demand management module 20, the central control module 30, and the AGV task scheduling module 40 may be connected to each other through a communication bus, and may also interact through wireless communication, which is not limited in this embodiment, in addition, the AGV task scheduling module 40 interacts with each AGV cart control module 50 through a wireless communication manner, which may be through WIFI, or through a radio frequency signal, or through bluetooth communication, and this embodiment does not limit the wireless communication manner.
In this embodiment, the production planning module 10 may be an ERP production planning system in the industrial production of the automobile pressure sensor, and plan the production schedule according to the order requirement sent by the terminal device. The production state parameters are production conditions of each production line, for example: availability of machines for each link of the production process, and expected production efficiency, such as a welding line available for processing 240 workpieces per hour in a quantity of 1, a punching line available for processing 150 workpieces per hour in a quantity of 2, and an assembly line expected available time of 2 days. Planning a production process by combining the order requirement with the production state parameters of each production line, where the production plan may include a plurality of items for controlling the production process, such as: production line number, daily production quantity, required product information, raw material supply condition and the like of input production.
In addition, the production status parameters may be obtained from the PLC control data interface of each production line and the central control server through the central control module 30, which may be a production line central control system, and the working status and the basic parameter information of each production line are obtained and then sent to the production planning module 10 as the production status parameters.
In this embodiment, since the demand information is not only required to be executed according to the progress of the production plan, but also required to be continuously adjusted according to the real-time production state of the production line, the material demand management module 20 performs real-time material regulation and control by combining the material stockpiling condition of the production line based on the production plan, and sends a production line state query request to the central control module when receiving the production plan.
In this embodiment, the obtaining of the production line state information may be obtaining production line material backlog information and production line current production information, and sending the production line material backlog information and the production line current production information to the material demand management module 20; when receiving the product line material backlog information and the product line current production information, the material demand management module 20 calculates the product line material consumption rate according to the product line current production information, generates demand information according to the product line material consumption rate and the product line material backlog information, and sends the demand information to the AGV task scheduling module 40. The material consumption rate can be obtained by acquiring the material backlog according to the interval time and then calculating according to the interval time, and the material backlog information is the material information in the material storage area or the material storage pool of the production line, and the central control module 30 is obtained through a data interface of the production line.
In this embodiment, after the production line state information is obtained, the demand information is continuously generated according to the production line production state based on the production plan. The production plan is a task that a preset task is completed within a specified time, and after the task is completed, the task of the next stage is continued or a production line is closed and material supplement is stopped. And when the task in the preset time is not completed, supplementing the materials of the production line according to the production state information of the production line.
In this embodiment, the production planning module 10 transmits the production plan to the material demand management module 20, and the material demand module needs to schedule the material in real time according to the production plan, and needs to ensure the material supply to each production line before the production task of each link is completed. Generating demand information according to the progress of the production plan and the demands of each production line, where the demand information may include: one or more of production line information such as production line numbers, material demand types, quantity of various material demands, demand emergency degree and material demand priority can accurately obtain task targets and task contents through the demand information AGV task scheduling module 40.
In this embodiment, after the AGV task scheduling module 40 acquires the demand information, it allocates tasks according to the demand information, first disassembles the demand information into a plurality of material transportation tasks, and then allocates task instructions to the AGV control modules 50 according to the state information of the AGV. For example: according to the method, 10 units of target materials required by a 2 # chip assembly production line are obtained from demand information, 1 AGV trolley can only convey 1 unit of target materials, the target materials are obtained through the state information of the AGV trolleys, only 5 AGV trolleys in the idle state exist, 10 task instructions are generated, the instructions are distributed to 5 AGV trolleys in the idle state respectively, and 2 tasks are arranged in a task queue of each AGV trolley. The carrying tasks are subdivided by combining the states of the AGV trolleys according to the required quantity, and the operation of the AGV trolleys is coordinated.
Further, the task instructions may include: task process information such as task purpose, carrying type, driving route, production line number, path node coordinates and the like;
further, the task instruction includes a priority of the task, the priority is consistent with a priority of the requirement in the requirement information, and when a task conflict occurs, the task with a higher priority is preferentially executed, for example: and each vehicle preferentially executes the tasks with higher priority in the queue, when traffic conditions or loading and unloading conflict occur, the vehicle with lower task priority stops to enable the vehicle with higher task priority to execute the tasks, and the task sequence is optimized through the priority, so that the overall efficiency of internal logistics is improved.
In this embodiment, when the material demand management module 20 generates the demand information, it generates priority information corresponding to the demand information according to the material consumption rate of the production line and the material backlog information of the production line, and sends the priority information to the AGV task scheduling module 40; when receiving the priority information, the AGV task scheduling module 40 generates a task allocation policy according to the priority information, and allocates a task instruction according to the task allocation policy.
It should be understood that the task allocation policy may be to allocate tasks according to a weight proportion of the priority degree of the demand information, for example: when the priority divide into high and low, when receiving the task that the priority is high, with the AGV dolly that has the low task of the current execution priority, dispatch partly to come out, and the AGV dolly queue that will dispatch out on the AGV dolly of the low task of the priority that other dispatches out is divided to other, then accomplish the high task of priority jointly with the AGV dolly that dispatches out with idle AGV dolly, the AGV dolly quantity of this moment high priority task is 3 with the AGV dolly quantity of low priority task: 1. in this way, higher transport efficiency of high-priority tasks can be ensured.
In this embodiment, every AGV dolly corresponds an AGV dolly control module 50 promptly, and AGV dolly control module 50 obtains the material type according to the task instruction after receiving the task instruction, goes to the district of prepareeing material according to the material type and acquires corresponding material, obtains producing the line serial number according to the task instruction again, sends the material to producing the target that the line serial number corresponds and produces the line.
In this embodiment, a production planning module 10 receives an order requirement and a production state parameter, and generates a production plan according to the order requirement and the production state parameter; the material demand management module 20 inquires the production line state when receiving the production plan; the central control module 30 feeds back the status information of the production line by the material demand management module; the material demand management module 20 generates demand information according to the production plan and the production line state information; the AGV task scheduling module 40 generates a task instruction according to the demand information; the AGV trolley control module 50 controls the AGV trolley to complete the material scheduling task according to the task instruction. Because satisfying the order demand and producing under the condition of line state, carry out real-time adjustment to inside transportation through the real-time operating mode of producing the line to the automatic configuration of line material has been improved whole production efficiency in the realization, compares in the manpower and adjusts, has reduced because the risk that the error caused, has increased the reaction rate that the demand was supplied with.
Referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of an intelligent dispatching system based on an automobile pressure sensor production line according to the present invention.
Based on above-mentioned first embodiment, this embodiment is based on intelligent dispatch system of car pressure sensor production line still includes: stock preparation area management module 60.
In this embodiment, the AGV control module 40 determines whether the AGV needs to go to the material preparation area for loading according to the task instruction, and if the AGV needs to go to the material preparation area for loading, generates a loading application instruction, and sends the loading application instruction to the material preparation area management module 60; the generation process of going to the stock preparation area for carrying cargo may generate an application when a task is received, or may generate an application when the task enters a signal range of the stock preparation area, which is not limited in this embodiment. The cargo application instructions may include: a target cargo type and a target cargo quantity.
In this embodiment, when receiving the cargo application instruction, the stock preparation area management module 60 may obtain a target cargo type and a target cargo quantity from the cargo application instruction, and then search stock preparation area stock state information from a stock data record table, where the stock preparation area stock state information is the stock quantity of the target cargo type and the position of the target cargo capable of carrying cargo; and the stock state information in the stock preparation area can select the target goods which accord with the target goods quantity and the target goods type, and the position of the target goods is found. Generating a cargo instruction according to the position of the target cargo, wherein the cargo instruction comprises the position information of the target cargo and sending the cargo instruction to the corresponding AGV trolley control module 40;
in this embodiment, the AGV cart control module 40 generates a series of motion commands according to the position of the target cargo in the cargo command, and controls the AGV cart to carry cargo according to a preset driving route and a preset driving posture.
In the embodiment, a cargo application instruction is generated through the AGV trolley control module 50; when receiving the cargo application instruction, the stock preparation area management module 60 acquires stock state information of the stock preparation area, generates a cargo instruction according to the stock state information of the stock preparation area, and sends the cargo instruction to the corresponding AGV trolley control module 50; and the AGV trolley control module 50 controls the AGV trolley to carry the cargos according to the cargo carrying instruction. Because the inventory state in the material preparation area is inquired according to the loading application instruction, the data sharing of the AGV trolley and the goods shelf is realized, the AGV trolley can directly interact with a material preparation area management system, the loading time is saved, and the automatic material delivery and storage are realized.
Further, referring to fig. 3, fig. 3 is a schematic flow chart of a first embodiment of an intelligent scheduling method based on an automobile pressure sensor production line according to the present invention, where the intelligent scheduling system based on an automobile pressure sensor production line includes: the system comprises a production planning module, a material demand management module, a central control module, an AGV task scheduling module and an AGV trolley control module;
the intelligent scheduling method based on the automobile pressure sensor production line comprises the following steps:
step S10: the production planning module receives an order demand sent by terminal equipment, acquires production state parameters, generates a production plan according to the order demand and the production state parameters, and sends the production plan to the material demand management module;
it should be understood that, in this embodiment, the production planning module, the material demand management module, the central control module, and the AGV task scheduling module may be connected to each other through a communication bus, or may interact through wireless communication, which is not limited in this embodiment, and in addition, the AGV task scheduling module interacts with each AGV cart control module through a wireless communication mode, which may be through WIFI, or through a radio frequency signal, or through bluetooth communication, which is not limited in this embodiment.
In this embodiment, the production planning module may be an ERP production planning system in the industrial production of the automobile pressure sensor, and plan the production progress according to the order demand sent by the terminal device. The production state parameters are production conditions of each production line, for example: availability of machines for each link of the production process, and expected production efficiency, such as a welding line available for processing 240 workpieces per hour in a quantity of 1, a punching line available for processing 150 workpieces per hour in a quantity of 2, and an assembly line expected available time of 2 days. Planning a production process by combining the order requirement with the production state parameters of each production line, where the production plan may include a plurality of items for controlling the production process, such as: production line number, daily production quantity, required product information, raw material supply condition and the like of input production.
In this embodiment, the production state parameter may be a production line central control system through the central control module, and the production state parameter is acquired from the PLC control data interface of each production line and acquired by the central control server, and after the working condition and the basic parameter information of each production line are obtained, the working condition and the basic parameter information are sent to the production planning module as the production state parameter.
Step S20: the material demand management module sends a production line state query request to the central control module when receiving the production plan;
in this embodiment, since the demand information is not only required to be executed according to the progress of the production plan, but also required to be continuously adjusted according to the real-time production state of the production line, the real-time material regulation and control are performed by combining the material stockpiling condition of the production line based on the production plan, and the material demand management module sends a production line state query request to the central control module when receiving the production plan.
Step S30: the central control module feeds back production line state information to the material demand management module when receiving the production line state query request;
in this embodiment, when receiving the production line state query request, the central control module acquires production line material backlog information and production line current production information, and sends the production line material backlog information and the production line current production information to the material demand management module; correspondingly, when the material demand management module receives the production line state information, the material demand management module generates demand information according to the production plan and the production line state information, and sends the demand information to the AGV task scheduling module, including: the material demand management module receives when producing line material backlog information and producing line current production information, according to produce line current production information calculation and produce line material consumption rate, according to produce line material consumption rate with produce line material backlog information and generate demand information, will demand information send to AGV task scheduling module.
In this embodiment, the obtaining of the production line state information may be obtaining production line material backlog information and production line current production information, and sending the production line material backlog information and the production line current production information to a material demand management module; the material demand management module receives when producing line material backlog information and producing line current production information, according to produce line current production information calculation and produce line material consumption rate, according to produce line material consumption rate with produce line material backlog information and generate demand information, will demand information send to AGV task scheduling module. The material consumption rate can be obtained by acquiring material backlog according to the interval time and then calculating according to the interval time, the material backlog information is the material information in a material storage area or a material storage pool of a production line, and the central control module is obtained through a production line data interface.
In this embodiment, after the production line state information is obtained, the demand information is continuously generated according to the production line production state based on the production plan. The production plan is a task that a preset task is completed within a specified time, and after the task is completed, the task of the next stage is continued or a production line is closed and material supplement is stopped. And when the task in the preset time is not completed, supplementing the materials of the production line according to the production state information of the production line.
Step S40: when receiving the production line state information, the material demand management module generates demand information according to the production plan and the production line state information, and sends the demand information to the AGV task scheduling module;
in this embodiment, the production plan module transmits the production plan to the material demand management module, and the material demand module needs to schedule the material in real time according to the production plan, and before the production task of each link is completed, the material supply to each production line needs to be ensured. Generating demand information according to the progress of the production plan and the demands of each production line, where the demand information may include: one or more of production line information such as production line numbers, material demand types, various material demand quantities, demand emergency degrees, material demand priorities and the like can accurately obtain task targets and task contents through a demand information AGV task scheduling module.
In this embodiment, when the material demand management module generates the demand information, the priority information corresponding to the demand information is generated according to the material consumption rate of the production line and the material backlog information of the production line, and the priority information is sent to the AGV task scheduling module; and when receiving the priority information, the AGV task scheduling module generates a task allocation strategy according to the priority information and allocates a task instruction according to the task allocation strategy.
In this embodiment, after the AGV task scheduling module acquires the demand information, the tasks are allocated according to the demand information, the demand information is firstly disassembled into a plurality of material transportation tasks, and then task instructions are allocated to the AGV control modules by combining the state information of the AGV trolleys. For example: according to the method, 10 units of target materials required by a 2 # chip assembly production line are obtained from demand information, 1 AGV trolley can only convey 1 unit of target materials, the target materials are obtained through the state information of the AGV trolleys, only 5 AGV trolleys in the idle state exist, 10 task instructions are generated, the instructions are distributed to 5 AGV trolleys in the idle state respectively, and 2 tasks are arranged in a task queue of each AGV trolley. The carrying tasks are subdivided by combining the states of the AGV trolleys according to the required quantity, and the operation of the AGV trolleys is coordinated.
Further, the task instructions may include: task process information such as task purpose, carrying type, driving route, production line number, path node coordinates and the like;
further, the task instruction includes a priority of the task, the priority is consistent with a priority of the requirement in the requirement information, and when a task conflict occurs, the task with a higher priority is preferentially executed, for example: and each vehicle preferentially executes the tasks with higher priority in the queue, when traffic conditions or loading and unloading conflict occur, the vehicle with lower task priority stops to enable the vehicle with higher task priority to execute the tasks, and the task sequence is optimized through the priority, so that the overall efficiency of internal logistics is improved.
In this embodiment, when the material demand management module generates the demand information, the priority information corresponding to the demand information is generated according to the material consumption rate of the production line and the material backlog information of the production line, and the priority information is sent to the AGV task scheduling module; and when receiving the priority information, the AGV task scheduling module generates a task allocation strategy according to the priority information and allocates a task instruction according to the task allocation strategy.
It should be understood that the task allocation policy may be to allocate tasks according to a weight proportion of the priority degree of the demand information, for example: when the priority divide into high and low, when receiving the task that the priority is high, with the AGV dolly that has the low task of the current execution priority, dispatch partly to come out, and the AGV dolly queue that will dispatch out on the AGV dolly of the low task of the priority that other dispatches out is divided to other, then accomplish the high task of priority jointly with the AGV dolly that dispatches out with idle AGV dolly, the AGV dolly quantity of this moment high priority task is 3 with the AGV dolly quantity of low priority task: 1. in this way, higher transport efficiency of high-priority tasks can be ensured.
Step S50: the AGV task scheduling module generates a task instruction according to the demand information and sends the task instruction to the AGV trolley control module;
in this embodiment, every AGV dolly corresponds an AGV dolly control module promptly, and AGV dolly control module obtains the material type according to the task instruction after receiving the task instruction, goes to the district of prepareeing material according to the material type and acquires the material that corresponds, obtains producing the line serial number according to the task instruction again, sends the material to producing the target that the line serial number corresponds and produces the line.
In this embodiment, after the AGV task scheduling module acquires the demand information, the tasks are allocated according to the demand information, the demand information is firstly disassembled into a plurality of material transportation tasks, and then task instructions are allocated to the AGV control modules by combining the state information of the AGV trolleys. For example: according to the method, 10 units of target materials required by a 2 # chip assembly production line are obtained from demand information, 1 AGV trolley can only convey 1 unit of target materials, the target materials are obtained through the state information of the AGV trolleys, only 5 AGV trolleys in the idle state exist, 10 task instructions are generated, the instructions are distributed to 5 AGV trolleys in the idle state respectively, and 2 tasks are arranged in a task queue of each AGV trolley. The carrying tasks are subdivided by combining the states of the AGV trolleys according to the required quantity, and the operation of the AGV trolleys is coordinated.
Step S60: and the AGV trolley control module controls the AGV trolley to complete a material scheduling task according to the task instruction.
In this embodiment, every AGV dolly corresponds an AGV dolly control module promptly, and AGV dolly control module obtains the material type according to the task instruction after receiving the task instruction, goes to the district of prepareeing material according to the material type and acquires the material that corresponds, obtains producing the line serial number according to the task instruction again, sends the material to producing the target that the line serial number corresponds and produces the line.
In the embodiment, the order requirement and the production state parameter are received through a production plan module, and then a production plan is generated according to the order requirement and the production state parameter; the material demand management module inquires the state of a production line when receiving the production plan; the central control module feeds back the state information of the production line by the material demand management module; the material demand management module generates demand information according to the production plan and the production line state information; the method comprises the steps that an AGV task scheduling module requires information to generate a task instruction; and the AGV trolley control module controls the AGV trolley to complete the material scheduling task according to the task instruction. Because satisfying the order demand and producing under the condition of line state, carry out real-time adjustment to inside transportation through the real-time operating mode of producing the line to the automatic configuration of line material has been improved whole production efficiency in the realization, compares in the manpower and adjusts, has reduced because the risk that the error caused, has increased the reaction rate that the demand was supplied with.
Referring to fig. 4, fig. 4 is a schematic flowchart of a second embodiment of the intelligent scheduling method based on the automobile pressure sensor production line, and the second embodiment of the intelligent scheduling method based on the automobile pressure sensor production line is provided based on the embodiment shown in fig. 3.
In this embodiment, after the step S60, the method further includes:
step S70: the AGV trolley control module judges whether the AGV trolley needs to go to a material preparation area for carrying cargos or not according to the task instruction, if the AGV trolley needs to go to the material preparation area for carrying cargos, a cargo carrying application instruction is generated, and the cargo carrying application instruction is sent to the material preparation area management module;
in this embodiment, the AGV trolley control module determines whether the AGV trolley needs to go to the material preparation area for carrying cargo according to the task instruction, and generates a cargo application instruction and sends the cargo application instruction to the material preparation area management module if the AGV trolley needs to go to the material preparation area for carrying cargo; the generation process of going to the stock preparation area for carrying cargo may generate an application when a task is received, or may generate an application when the task enters a signal range of the stock preparation area, which is not limited in this embodiment. The cargo application instructions may include: a target cargo type and a target cargo quantity.
Step S80: the material preparation area management module acquires stock state information of the material preparation area when receiving the cargo application instruction, generates a cargo instruction according to the stock state information of the material preparation area, and sends the cargo instruction to a corresponding AGV trolley control module;
in this embodiment, when receiving the cargo application instruction, the stock preparation area management module may obtain a target cargo type and a target cargo quantity from the cargo application instruction, and then search stock preparation area stock state information from a stock data record table, where the stock preparation area stock state information is the stock quantity of the target cargo type and the position of the target cargo capable of carrying cargo; and the stock state information in the stock preparation area can select the target goods which accord with the target goods quantity and the target goods type, and the position of the target goods is found. Generating a cargo instruction according to the position of the target cargo, wherein the cargo instruction comprises the position information of the target cargo and sends the cargo instruction to a corresponding AGV trolley control module;
step S90: and the AGV trolley control module controls the AGV trolley to carry cargos according to the cargo carrying instruction.
In this embodiment, the AGV cart control module generates a series of action instructions according to the position of the target cargo in the cargo instruction, and controls the AGV cart to carry cargo according to a preset driving route and a driving posture.
In the embodiment, a cargo application instruction is generated through an AGV trolley control module; when receiving the cargo application instruction, the stock preparation area management module acquires stock state information of the stock preparation area, generates a cargo instruction according to the stock state information of the stock preparation area, and sends the cargo instruction to a corresponding AGV trolley control module; and the AGV trolley control module controls the AGV trolley to carry cargos according to the cargo carrying instruction. Because the inventory state in the material preparation area is inquired according to the loading application instruction, the data sharing of the AGV trolley and the goods shelf is realized, the AGV trolley can directly interact with a material preparation area management system, the loading time is saved, and the automatic material delivery and storage are realized.
Further, it is to be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g. Read Only Memory (ROM)/RAM, magnetic disk, optical disk), and includes several instructions for enabling a terminal device (e.g. a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. The utility model provides an intelligent scheduling system based on car pressure sensor production line which characterized in that, intelligent scheduling system based on car pressure sensor production line includes: the system comprises a production planning module, a material demand management module, a central control module, an AGV task scheduling module and an AGV trolley control module;
the production plan module is used for receiving the order demand sent by the terminal equipment, acquiring production state parameters, generating a production plan according to the order demand and the production state parameters, and sending the production plan to the material demand management module;
the material demand management module is used for sending a production line state query request to the central control module when receiving the production plan;
the central control module is used for feeding back production line state information to the material demand management module when receiving the production line state query request;
the material demand management module is further used for generating demand information according to the production plan and the production line state information and sending the demand information to the AGV task scheduling module when the production line state information is received;
the AGV task scheduling module is used for generating a task instruction according to the demand information and sending the task instruction to the AGV trolley control module;
and the AGV trolley control module is used for controlling the AGV trolley to complete a material scheduling task according to the task instruction.
2. The system of claim 1, wherein the intelligent dispatch system based on an automotive pressure sensor production line further comprises: a material preparation area management module;
the AGV trolley control module is further used for judging whether the AGV trolley needs to go to a material preparation area for carrying goods according to the task instruction, if the AGV trolley needs to go to the material preparation area for carrying goods, a goods carrying application instruction is generated, and the goods carrying application instruction is sent to the material preparation area management module;
the material preparation area management module is used for acquiring stock state information of the material preparation area when receiving the cargo application instruction, generating a cargo instruction according to the stock state information of the material preparation area, and sending the cargo instruction to a corresponding AGV trolley control module;
the AGV dolly control module is also used for controlling the AGV dolly to carry cargo according to the cargo carrying instruction.
3. The system of claim 2, wherein the stock preparation area management module is further configured to, upon receiving the cargo application instruction, obtain a target cargo type and AGV cart position information according to the cargo application instruction, match a shelf according to the target cargo type and AGV cart position information to obtain target shelf information, generate a cargo instruction according to the target shelf information, and send the cargo instruction to a corresponding AGV cart control module.
4. The system of claim 1, wherein the central control module is further configured to, upon receiving the line status query request, obtain line material backlog information and line current production information, and send the line material backlog information and line current production information to a material demand management module;
the material demand management module is also used for receiving when producing line material backlog information and producing line current production information, according to produce line current production information calculation line material consumption rate, according to produce line material consumption rate with produce line material backlog information and generate demand information, with demand information sends to AGV task scheduling module.
5. The system of claim 4, wherein the material demand management module is further configured to, when the demand information is generated, send priority information corresponding to the production line material backlog information generation demand information according to the production line material consumption rate, and the AGV task scheduling module;
and the AGV task scheduling module is also used for generating a task allocation strategy according to the priority information and allocating a task instruction according to the task allocation strategy when receiving the priority information.
6. An intelligent scheduling method based on an automobile pressure sensor production line is applied to the intelligent scheduling system based on the automobile pressure sensor production line according to any one of claims 1 to 5, and comprises the following steps: the system comprises a production planning module, a material demand management module, a central control module, an AGV task scheduling module and an AGV trolley control module;
the intelligent scheduling method based on the automobile pressure sensor production line comprises the following steps:
the production planning module receives an order demand sent by terminal equipment, acquires production state parameters, generates a production plan according to the order demand and the production state parameters, and sends the production plan to the material demand management module;
the material demand management module sends a production line state query request to the central control module when receiving the production plan;
the central control module feeds back production line state information to the material demand management module when receiving the production line state query request;
when receiving the production line state information, the material demand management module generates demand information according to the production plan and the production line state information, and sends the demand information to the AGV task scheduling module;
the AGV task scheduling module generates a task instruction according to the demand information and sends the task instruction to the AGV trolley control module;
and the AGV trolley control module controls the AGV trolley to complete a material scheduling task according to the task instruction.
7. The method of claim 6, wherein the intelligent dispatch system based on an automotive pressure sensor production line further comprises: a material preparation area management module;
AGV dolly control module for according to the task instruction control AGV dolly accomplishes the material scheduling task, include:
the AGV trolley control module judges whether the AGV trolley needs to go to a material preparation area for carrying cargos or not according to the task instruction, if the AGV trolley needs to go to the material preparation area for carrying cargos, a cargo carrying application instruction is generated, and the cargo carrying application instruction is sent to the material preparation area management module;
the material preparation area management module acquires stock state information of the material preparation area when receiving the cargo application instruction, generates a cargo instruction according to the stock state information of the material preparation area, and sends the cargo instruction to a corresponding AGV trolley control module;
and the AGV trolley control module controls the AGV trolley to carry cargos according to the cargo carrying instruction.
8. The method of claim 7, wherein the stock preparation area management module obtains stock preparation area inventory status information when receiving a cargo application instruction sent by the AGV cart control module, generates a cargo instruction according to the stock preparation area inventory status information, and sends the cargo instruction to a corresponding AGV cart control module, and the method comprises:
prepare material district management module and receiving during the application instruction of carrying cargo, according to the application instruction of carrying cargo obtains target cargo type and AGV dolly positional information, according to target cargo type matches the goods shelves with AGV dolly positional information to obtain target goods shelves information, and according to target goods shelves information generation cargo instruction will cargo instruction sends to the AGV dolly control module that corresponds.
9. The method of claim 6, wherein the central control module, upon receiving the line status query request, feeds back line status information to the material demand management module, including:
the central control module acquires the material backlog information of the production line and the current production information of the production line when receiving the query request of the production line state, and sends the material backlog information of the production line and the current production information of the production line to the material demand management module;
correspondingly, when the material demand management module receives the production line state information, the material demand management module generates demand information according to the production plan and the production line state information, and sends the demand information to the AGV task scheduling module, including:
the material demand management module receives when producing line material backlog information and producing line current production information, according to produce line current production information calculation and produce line material consumption rate, according to produce line material consumption rate with produce line material backlog information and generate demand information, will demand information send to AGV task scheduling module.
10. The method of claim 9, wherein after generating the demand information according to the material consumption rate of the production line and the material backlog information and sending the demand information to the AGV task scheduling module, the method further comprises:
when the material demand management module generates the demand information, priority information corresponding to the demand information is generated according to the material consumption rate of the production line and the material backlog information of the production line, and the priority information is sent to an AGV task scheduling module;
and when receiving the priority information, the AGV task scheduling module generates a task allocation strategy according to the priority information and allocates a task instruction according to the task allocation strategy.
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