CN115081967B - Method and system for simulating machining process of numerical control machine tool based on multi-dimensional perception - Google Patents
Method and system for simulating machining process of numerical control machine tool based on multi-dimensional perception Download PDFInfo
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Abstract
The invention discloses a method and a system for simulating a machining process of a numerical control machine tool based on multi-dimensional perception, wherein the method comprises the following steps: monitoring current storage data and consumption data of raw materials and workpieces in a machining process in real time based on a multi-dimensional sensing mode, and simulating demand data of the raw materials and the workpieces; simulating each participating main body on a supply chain corresponding to the raw materials and the workpieces according to the demand data, and screening out target participating main bodies, wherein the target participating main bodies comprise manufacturers and transport providers; and simulating a delivery plan based on the target participation body and the demand data, wherein the delivery plan comprises a delivery priority order, a transportation batch plan and a transportation route plan. The invention can simulate the processing process of the numerical control machine tool in multiple dimensions, realizes the formulation of supply plans of raw materials and workpieces, is simple and convenient, and is beneficial to analyzing the actual use conditions of the raw materials and the workpieces.
Description
Technical Field
The invention relates to the technical field of analysis of machining processes of numerical control machines, in particular to a method and a system for simulating the machining processes of the numerical control machines based on multi-dimensional perception.
Background
The traditional numerical control machine simulation is focused on single machining process simulation or workpiece and cutter stress characteristic simulation, but the cost and efficiency of a numerical control machine using enterprise are greatly dependent on the supply chain management level. Because insufficient material and supply may result in idle costs of the machine tool and an inability of the factory to operate at full capacity, it is necessary to establish an efficient simulation at the supply chain level to help the cnc machine to optimize the supply chain decision level using rapid testing and matching of different material and workpiece supply schemes by the enterprise.
In the prior art, the simulation of the whole machining process of the numerical control machine tool is only to simulate and analyze a single workpiece based on a single dimension, so that an accurate supply plan is difficult to accurately formulate for raw materials and workpieces, and the management of a supply chain is also not facilitated.
Thus, there is a need for improvements and enhancements in the art.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a method and a system for simulating a machining process of a numerically controlled machine tool based on multi-dimensional perception, aiming at solving the problems that the simulation of the whole machining process of the numerically controlled machine tool in the prior art is only based on a single dimension to simulate and analyze a single workpiece, so that it is difficult to accurately make an accurate supply plan for raw materials and workpieces, and it is also not beneficial to manage a supply chain.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
in a first aspect, the invention provides a method for simulating a machining process of a numerically-controlled machine tool based on multi-dimensional perception, wherein the method comprises the following steps:
monitoring current storage data and consumption data of raw materials and workpieces in a machining process in real time based on a multi-dimensional sensing mode, and simulating demand data of the raw materials and the workpieces according to the current storage data and the consumption data;
simulating each participating main body on a supply chain corresponding to the raw materials and the workpieces according to the demand data, and screening out target participating main bodies based on supply data of each participating main body, wherein the target participating main bodies comprise manufacturers and transporters;
and simulating a delivery plan based on the target participation body and the requirement data, wherein the delivery plan comprises a delivery priority sequence, a transportation batch plan and a transportation route plan.
In one implementation, the real-time monitoring of the current stored data and the consumption data of the raw material and the workpiece in the processing process based on the multidimensional sensing includes:
acquiring inflow and outflow data of the raw material and the workpiece at each processing node based on a wireless radio frequency monitoring mode, and determining consumption data of the raw material and the workpiece based on the inflow and outflow data;
and acquiring the total storage amount of the raw materials and the workpieces in a preset storage area, and determining the current storage data based on the total storage amount and the consumption data.
In one implementation, the real-time monitoring of the current stored data and the consumed data of the raw materials and the workpieces in the processing process based on the multidimensional sensing includes:
monitoring the weight change of the raw material and the workpiece in a preset storage area based on a weight sensor;
and determining current storage data and consumption data of the raw materials and the workpieces based on the weight change and the original total weight of the raw materials and the workpieces in the preset storage area.
In one implementation, the simulating demand data of the raw material and the workpiece according to the current storage data and the consumption data includes:
acquiring processing rule information of each processing node in the processing process of the numerical control machine tool, wherein the processing rule information comprises: the daily starting times of each processing node and the processing duration after each starting;
and determining the estimated use time of the raw material and the workpiece based on the machining rule information, the current storage data and the consumption data, and determining the demand data based on the estimated use time.
In one implementation, the screening out target participating agents based on the supply data of each participating agent, where the target participating agents include manufacturers and carriers, includes:
obtaining supply data of each parameter main body, wherein the supply data comprises daily shipment data and order price data;
comparing the daily shipment data and the order price data of each parameter main body with preset expected shipment data and expected order price respectively;
and if the daily shipment data is larger than the expected shipment data and the order price data is smaller than the expected order price, determining that a parameter subject corresponding to the daily shipment data being larger than the expected shipment data and the order price data being smaller than the expected order price is the target participation subject.
In one implementation, the simulating a supply plan based on the target participant entity and the demand data includes:
simulating a supply scheduling period of each target participating body aiming at the demand data based on the target participating bodies and the demand data, and determining a supply priority order based on the supply scheduling period;
determining order quantity according to the demand data, and determining a transportation batch plan made by the target participant for the demand data based on the order quantity;
and determining the transportation route plan according to the position information of the target participating body.
In one implementation, the simulating a supply plan based on the target participant entity and the demand data includes:
and determining the probability of occurrence of a delay event based on the supply plan, and determining the arrival time of the raw material and the workpiece based on the probability of occurrence of the delay event.
In a second aspect, an embodiment of the present invention further provides a device for simulating a machining process of a numerically controlled machine tool based on multidimensional sensing, where the device includes:
the system comprises a demand data determining module, a data processing module and a data processing module, wherein the demand data determining module is used for monitoring the current storage data and the consumption data of raw materials and workpieces in a machining process in real time based on a multi-dimensional sensing mode, and simulating the demand data of the raw materials and the workpieces according to the current storage data and the consumption data;
the target participating main body determining module is used for simulating each participating main body on a supply chain corresponding to the raw materials and the workpieces according to the demand data, and screening out target participating main bodies based on supply data of each participating main body, wherein each target participating main body comprises a manufacturer and a transporter;
and the supply plan determining module is used for simulating a supply plan based on the target participation main body and the requirement data, wherein the supply plan comprises a supply priority sequence, a transportation batch plan and a transportation route plan.
In a third aspect, an embodiment of the present invention further provides a terminal device, where the terminal device includes a memory, a processor, and a simulation program of the numerical control machine tool machining process based on the multidimensional sensing, which is stored in the memory and is capable of running on the processor, and when the processor executes the simulation program of the numerical control machine tool machining process based on the multidimensional sensing, the step of implementing the simulation method of the numerical control machine tool machining process based on the multidimensional sensing according to any one of the above schemes is implemented.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, where a program for simulating a machining process of a numerically-controlled machine tool based on multidimensional sensing is stored on the computer-readable storage medium, and when the program for simulating a machining process of a numerically-controlled machine tool based on multidimensional sensing is executed by a processor, the steps of the method for simulating a machining process of a numerically-controlled machine tool based on multidimensional sensing in any of the foregoing schemes are implemented.
Has the advantages that: compared with the prior art, the invention provides a method for simulating the machining process of a numerical control machine tool based on multidimensional perception. And then simulating each participating main body on a supply chain corresponding to the raw materials and the workpieces according to the demand data, and screening out target participating main bodies based on supply data of each participating main body, wherein the target participating main bodies comprise manufacturers and transporters. And finally, simulating a delivery plan based on the target participation body and the demand data, wherein the delivery plan comprises a delivery priority order, a transportation batch plan and a transportation route plan. The invention can simulate the processing process of the numerical control machine tool in multiple dimensions, realizes the formulation of supply plans of raw materials and workpieces, is simple and convenient, and is beneficial to analyzing the actual use conditions of the raw materials and the workpieces.
Drawings
Fig. 1 is a flowchart of a specific implementation of a method for simulating a machining process of a numerically-controlled machine tool based on multi-dimensional sensing according to an embodiment of the present invention.
Fig. 2 is a schematic block diagram of a simulation apparatus for a numerically-controlled machine tool machining process based on multi-dimensional sensing according to an embodiment of the present invention.
Fig. 3 is a schematic block diagram of a terminal device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and effects of the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
In specific implementation, the present embodiment first monitors current storage data and consumption data of a raw material and a workpiece in a machining process in real time based on a multidimensional sensing manner, and simulates demand data of the raw material and the workpiece according to the current storage data and the consumption data. And then simulating each participating main body on a supply chain corresponding to the raw materials and the workpieces according to the demand data, and screening out target participating main bodies based on supply data of each participating main body, wherein the target participating main bodies comprise manufacturers and transporters. And finally, simulating a delivery plan based on the target participation body and the demand data, wherein the delivery plan comprises a delivery priority order, a transportation batch plan and a transportation route plan. The embodiment can simulate the machining process of a numerical control machine tool in multiple dimensions, realizes formulation of supply plans of raw materials and workpieces, is simple and convenient, and is favorable for analyzing actual use conditions of the raw materials and the workpieces.
Exemplary method
The simulation method of the numerical control machine tool machining process based on the multidimensional sensing can be applied to terminal equipment, and the terminal equipment can be arranged on an intelligent computer on the numerical control machine tool, such as a main control center in the numerical control machine tool. Specifically, as shown in fig. 1, the method for simulating the machining process of the numerically-controlled machine tool based on the multidimensional sensing in the embodiment includes the following steps:
s100, monitoring current storage data and consumption data of raw materials and workpieces in a machining process in real time based on a multi-dimensional sensing mode, and simulating demand data of the raw materials and the workpieces according to the current storage data and the consumption data.
In order to accurately analyze the whole machining process of the numerical control machine tool, the present embodiment may monitor the current storage data and consumption data of the raw materials and the workpieces in real time based on a multidimensional sensing manner, where the storage data and the consumption data may reflect the usage of the raw materials and the workpieces, and the usage may exactly reflect how much the raw materials and the workpieces are used and how much remains, and the like. The demand data reflects the amount of material and workpiece that needs to be replenished during subsequent processing.
In an implementation manner, when determining the demand data, the embodiment includes the following steps:
s101, acquiring inflow and outflow data of the raw material and the workpiece at each processing node in a wireless radio frequency monitoring mode, and determining consumption data of the raw material and the workpiece based on the inflow and outflow data;
and S102, acquiring the total storage number of the raw materials and the workpieces in a preset storage area, and determining the current storage data based on the total storage number and the consumption data.
Specifically, in this embodiment, a wireless radio frequency device may be disposed on each processing node in the processing process of the numerical control machine tool, and the wireless radio frequency device may be an infrared sensing device, and is configured to sense inflow and outflow of workpieces and raw materials on each processing node. In the whole machining process of the numerical control machine tool, a lot of raw materials such as workpieces to be machined are used, and a lot of workpieces such as tools are used, and the inflow and outflow of the raw materials and the workpieces from each machining node mean that the raw materials and the workpieces are used in the machining nodes. The machining node in this embodiment reflects a machining process, for example, in the a-stage machining process, the machining process is a machining node, in the a-stage machining process, a stepped shaft is formed by machining the shaft using a B-type turning tool, in this case, the material is the shaft, the workpiece is a B-type turning tool, and when the machining operation of the machining process is performed, the inflow and outflow events of the shaft and the B-type turning tool are recorded, that is, the shaft and the B-type turning tool are used in the a-stage machining process. When the method is applied specifically, each processing node in the processing process of the numerical control machine tool can be simulated on line in the embodiment, the whole processing process is simulated, inflow and outflow data of each process within one day are recorded, and the inflow and outflow data table can reflect the use times of each process to raw materials and workpieces within one day. After the inflow and outflow data of the raw material and the workpiece under each processing node is simulated, the consumption data of the raw material and the workpiece may be estimated based on the inflow and outflow data, where the consumption data may be consumption data of the workpiece and the raw material in a corresponding day time, or consumption data of several days or a week later may be estimated, and the embodiment is not limited thereto.
In another implementation manner, when determining the current storage data and the consumption data, the embodiment may further include the following steps:
s11, monitoring the weight change of the raw material and the workpiece in a preset storage area based on a weight sensor;
and S12, determining the current storage data and the consumption data of the raw materials and the workpieces based on the weight change and the original total weight of the raw materials and the workpieces in the preset storage area.
In a specific application, a weight sensor may be disposed at a position of the storage area, and the weight sensor may detect a weight change of the storage area, where the weight change is a weight change of the raw material and the workpiece, and when the raw material or the workpiece is used, the weight of the storage area may be reduced. The current stored data and the consumption data can be directly converted according to the original total weight and the weight change.
Of course, in one implementation, the present embodiment may model continuous variables of the raw material and the workpiece based on a system dynamics model, where the continuous variables are current stored data of the raw material and the workpiece, and the current stored data is determined by consumption data of the raw material and the workpiece, and the consumption data is determined by inflow and outflow data of the raw material and the workpiece, so that the present embodiment may construct a system dynamics model based on the inflow and outflow data of the raw material and the workpiece, the consumption data, and the current stored data, and thus the current stored data may be automatically analyzed based on the constructed system dynamics model to determine the demand data.
In addition, all the raw materials and workpieces are recorded in quantity after entering the field and then stored in a fixed storage area. Therefore, the present embodiment can determine the current storage data of the raw materials and the workpieces according to the total storage amount of each raw material and workpiece in the storage area and then based on the estimated consumption data. When the current storage data is determined, the embodiment can acquire the processing rule information of each processing node in the processing process of the numerical control machine tool, and the processing rule information includes: the starting times of each processing node every day and the processing time after each starting. Then, based on the processing rule information, the current storage data and the consumption data, the estimated use time of the raw material and the workpiece is determined, wherein the estimated use time refers to how long the raw material and the workpiece can be used. Therefore, the embodiment can estimate the demand data based on the estimated service time, and in the embodiment, the demand data is the replenishment data of the raw materials and the workpieces, so that each processing node of the numerical control machine can be ensured to have enough raw materials and workpieces to use.
Step S200, simulating each participating main body on a supply chain corresponding to the raw materials and the workpieces according to the demand data, and screening out target participating main bodies based on supply data of each participating main body, wherein the target participating main bodies comprise manufacturers and transporters.
After the demand data is determined, the present embodiment may determine, based on the demand data, each participating subject on the supply chain corresponding to the raw material and the workpiece, where the parameter subject is a supplier of the raw material and the workpiece, and since the simulated supplier may not meet the requirement, the present embodiment needs to screen the supplier to obtain a target participating subject, and the target participating subject is a manufacturer and a carrier. In addition, in the present embodiment, when the participating agents are screened, the screening is performed based on the supply data of each participating agent.
In one implementation, when screening the participating subjects, the embodiment includes the following steps:
step S201, obtaining supply data of each parameter main body, wherein the supply data comprises daily shipment data and order price data;
step S202, comparing the daily shipment data and the order price data of each parameter main body with preset expected shipment data and expected order price respectively;
step S203, if the daily shipment data is greater than the expected shipment data and the order price data is less than the expected order price, determining that the parameter subject corresponding to the daily shipment data being greater than the expected shipment data and the order price data being less than the expected order price is the target participating subject.
In specific implementation, the present embodiment may first obtain supply data of each parameter main body, where the supply data includes daily shipment data and order price data, and the supply data may be obtained by querying in a historical shipment record of each participating main body. Then, the embodiment may compare the daily shipment data and the order price data of each parameter body with preset expected shipment data and expected order price, respectively. If the daily shipment data is larger than the expected shipment data, it is indicated that the corresponding participating subject is a supplier with a larger shipment volume and a faster shipment speed, for example, if the participating subject is a manufacturer, it is indicated that the production speed of the manufacturer is fast. And if the order price data is less than the expected order price, the price of the raw material or the workpiece of the participating main body is relatively cheap. In this embodiment, participating subjects with large shipment volume, fast shipment speed and low price need to be screened out, so as to obtain target participating subjects, so as to find out the most suitable manufacturers and carriers.
In another implementation manner, each participating subject may be used as an agent, then the built decision model is used to screen the multiple agents, and when the screening is performed, the daily shipment data and order price data corresponding to each agent are used as decision parameters, and the decision model will automatically decide a target agent, that is, a target participating subject is obtained. In addition, the implementation can also use the self state (such as business state) and the surrounding environment of each agent as decision parameters, so as to decide the most appropriate target agent based on the decision model.
Step S300, simulating a supply plan based on the target participation body and the demand data, wherein the supply plan comprises a supply priority order, a transportation batch plan and a transportation route plan.
After the target participating bodies are screened out, the most appropriate supply plan can be made according to the requirement data, the supply plan comprises a supply priority order, a transportation batch plan and a transportation route plan, and then the raw materials and the workpieces can be completely filled according to the supply plan, so that the normal machining process of the numerical control machine tool is ensured.
In one implementation, when specifying the supply plan, the embodiment includes the following steps:
step S301, simulating a supply scheduling period of each target participating body for the demand data based on the target participating bodies and the demand data, and determining a supply priority order based on the supply scheduling period;
step S302, determining order quantity according to the demand data, and determining a transportation batch plan made by the target participation main body aiming at the demand data based on the order quantity;
and step S303, determining the transportation route planning according to the position information of the target participating body.
Specifically, in this embodiment, based on the demand data, a supply schedule of each target participating body for the demand data is simulated, where the supply schedule is a shipment schedule of the raw material and the workpiece, and therefore, the present embodiment may determine the supply priority order based on the supply schedule, where the shipment priority order reflects a shipment order of the target participating bodies, and the higher the supply schedule of a certain target participating body is, the higher the shipment priority order of the target participating body is, and therefore, the present embodiment may determine the shipment order of the target participating bodies based on the shipment priority order. Then, the present embodiment may determine an order amount according to the demand data, and determine a transportation lot plan made by the target participant for the demand data based on the order amount. In addition, the embodiment may also determine the transportation route plan according to the position information of the target participating subject. When the route is planned, the present embodiment may determine, based on the supply plan, a probability of occurrence of a delay event, and determine, based on the probability of occurrence of the delay event, arrival times of the raw material and the workpiece. The delay events comprise material quality non-compliance or transportation delay events, and influence factors of the delay events are purchasing events, supplier geographical distances, route flows and the like, so that the embodiment can construct a multiple regression model according to the influence factors of the delay events and the delay events, determine the occurrence probability of the delay events based on the multiple regression model, and then accurately determine the arrival time of the raw materials and the workpieces based on the occurrence probability of the delay events.
In summary, in the embodiment, first, the current storage data and the consumption data of the raw material and the workpiece in the processing process are monitored in real time based on a multi-dimensional sensing manner, and the demand data of the raw material and the workpiece are simulated according to the current storage data and the consumption data. And then simulating each participating main body on a supply chain corresponding to the raw materials and the workpieces according to the demand data, and screening out target participating main bodies based on supply data of each participating main body, wherein the target participating main bodies comprise manufacturers and transporters. And finally, simulating a delivery plan based on the target participation main body and the requirement data, wherein the delivery plan comprises a delivery priority order, a transportation batch plan and a transportation route plan. The embodiment can simulate the machining process of a numerical control machine tool in multiple dimensions, realizes formulation of supply plans of raw materials and workpieces, is simple and convenient, and is favorable for analyzing actual use conditions of the raw materials and the workpieces.
Exemplary devices
Based on the above embodiment, the present invention further provides a simulation apparatus for a machining process of a numerically controlled machine tool based on multi-dimensional sensing, as shown in fig. 2, the apparatus includes: a demand data determination module 10, a target participant determination module 20, and a supply plan determination module 30. The demand data determining module 10 in this embodiment is configured to monitor current storage data and consumption data of a raw material and a workpiece in a machining process in real time based on a multidimensional sensing manner, and simulate demand data of the raw material and the workpiece according to the current storage data and the consumption data. The target participating subject determining module 20 is configured to simulate each participating subject on the supply chain corresponding to the raw material and the workpiece according to the demand data, and screen out a target participating subject based on supply data of each participating subject, where the target participating subject includes a manufacturer and a carrier. The supply plan determining module 30 is configured to simulate a supply plan based on the target participating entity and the requirement data, where the supply plan includes a supply priority order, a transportation lot plan, and a transportation route plan.
In one implementation, the demand data determination module 10 includes:
the consumption data determining unit is used for acquiring inflow and outflow data of the raw material and the workpiece at each processing node based on a wireless radio frequency monitoring mode, and determining the consumption data of the raw material and the workpiece based on the inflow and outflow data;
and the storage data determining unit is used for acquiring the total storage number of the raw materials and the workpieces in a preset storage area and determining the current storage data based on the total storage number and the consumption data.
In one implementation, the demand data determination module 10 includes:
the weight monitoring module is used for monitoring the weight change of the raw materials and the workpieces in a preset storage area based on a weight sensor;
and the consumption analysis unit is used for determining the current storage data and the consumption data of the raw materials and the workpieces based on the weight change and the original total weight of the raw materials and the workpieces in the preset storage area.
In one implementation, the demand data determination module 10 includes:
the processing system comprises a rule information determining unit and a processing rule information processing unit, wherein the rule information determining unit is used for acquiring the processing rule information of each processing node in the processing process of the numerical control machine tool, and the processing rule information comprises: the daily starting times of each processing node and the processing duration after each starting;
and the service time estimation unit is used for determining the estimated service time of the raw material and the workpiece based on the processing rule information, the current storage data and the consumption data, and determining the demand data based on the estimated service time.
In one implementation, the target participation principal determination module 20 includes:
the supply data acquisition unit is used for acquiring supply data of each parameter main body, and the supply data comprises daily delivery data and ordering price data;
the data comparison unit is used for comparing the daily shipment data and the order price data of each parameter main body with preset expected shipment data and expected order price respectively;
and the participation main body screening unit is used for determining that the parameter main body corresponding to the daily shipment data is larger than the expected shipment data and the order price data is smaller than the expected order price is the target participation main body if the daily shipment data is larger than the expected shipment data and the order price data is smaller than the expected order price.
In one implementation, the supply plan determining module 30 includes:
a priority determining unit, configured to simulate a delivery scheduling period of each target participating body for the demand data based on the target participating bodies and the demand data, and determine the delivery priority order based on the delivery scheduling period;
a transportation plan determining unit, configured to determine an order amount according to the demand data, and determine a transportation lot plan made by the target participant for the demand data based on the order amount;
and the transportation route planning unit is used for determining the transportation route planning according to the position information of the target participation main body.
In one implementation, the supply plan determining module 30 includes:
and the arrival time determining unit is used for determining the probability of occurrence of a delay event based on the supply plan and determining the arrival time of the raw material and the workpiece based on the probability of occurrence of the delay event.
The working principle of each module in the simulation system of the numerical control machine tool machining process based on the multidimensional perception in the embodiment is the same as the principle of each step in the method embodiment, and the details are not repeated here.
Based on the above embodiment, the present invention further provides a terminal device, and a functional block diagram of the terminal device may be as shown in fig. 3. The terminal equipment can be arranged on an intelligent computer on a numerical control machine tool, such as a main control center in the numerical control machine tool. The terminal device may include one or more processors 100 (only one shown in fig. 3), a memory 101, and a computer program 102 stored in the memory 101 and executable on the one or more processors 100, for example, a program based on simulation of a multi-dimensional perception numerically controlled machine tool machining process. The one or more processors 100, when executing the computer program 102, may implement various steps in an embodiment of a method for multi-dimensional perception-based simulation of a numerically controlled machine tool process. Alternatively, one or more processors 100, when executing computer program 102, may implement the functions of the modules/units of the apparatus embodiments based on simulation of numerically controlled machine tool processes based on multi-dimensional perception, and is not limited herein.
In one embodiment, the Processor 100 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
In one embodiment, the storage 101 may be an internal storage unit of the electronic device, such as a hard disk or a memory of the electronic device. The memory 101 may also be an external storage device of the electronic device, such as a plug-in hard disk, a Smart Memory Card (SMC), a Secure Digital (SD) card, a flash memory card (flash card), and the like provided on the electronic device. Further, the memory 101 may also include both an internal storage unit and an external storage device of the electronic device. The memory 101 is used to store computer programs and other programs and data required by the terminal device. The memory 101 may also be used to temporarily store data that has been output or is to be output.
It will be understood by those skilled in the art that the block diagram of fig. 3 is only a block diagram of a part of the structure related to the solution of the present invention, and does not constitute a limitation to the terminal equipment to which the solution of the present invention is applied, and a specific terminal equipment may include more or less components than those shown in the figure, or may combine some components, or have different arrangements of components.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above may be implemented by hardware that is instructed by a computer program, and the computer program may be stored in a non-volatile computer-readable storage medium, and when executed, may include the processes of the embodiments of the methods described above. Any reference to memory, storage, operations databases, or other media used in the embodiments provided herein may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double-rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), rambus (Rambus) direct RAM (RDRAM), direct Rambus Dynamic RAM (DRDRAM), and Rambus Dynamic RAM (RDRAM).
In summary, the invention discloses a method and a system for simulating a machining process of a numerical control machine based on multi-dimensional perception, wherein the method comprises the following steps: monitoring current storage data and consumption data of raw materials and workpieces in a machining process in real time based on a multi-dimensional sensing mode, and simulating demand data of the raw materials and the workpieces according to the current storage data and the consumption data; simulating each participating main body on a supply chain corresponding to the raw materials and the workpieces according to the demand data, and screening out target participating main bodies based on supply data of each participating main body, wherein the target participating main bodies comprise manufacturers and transporters; and simulating a delivery plan based on the target participation body and the demand data, wherein the delivery plan comprises a delivery priority order, a transportation batch plan and a transportation route plan. The invention can simulate the processing process of the numerical control machine tool in multiple dimensions, realizes the formulation of supply plans of raw materials and workpieces, is simple and convenient, and is beneficial to analyzing the actual use conditions of the raw materials and the workpieces.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, and not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (5)
1. A simulation method for a numerical control machine tool machining process based on multi-dimensional perception is characterized by comprising the following steps:
monitoring current storage data and consumption data of raw materials and workpieces in a machining process in real time based on a multi-dimensional sensing mode, and simulating demand data of the raw materials and the workpieces according to the current storage data and the consumption data;
simulating each participating main body on a supply chain corresponding to the raw materials and the workpieces according to the demand data, and screening out target participating main bodies based on supply data of each participating main body, wherein the target participating main bodies comprise manufacturers and transporters;
simulating a delivery plan based on the target participating subject and the demand data, wherein the delivery plan comprises a delivery priority order, a transportation batch plan and a transportation route plan;
the method for monitoring the current storage data and consumption data of the raw materials and the workpieces in the machining process in real time based on the multidimensional perception comprises the following steps:
acquiring inflow and outflow data of the raw material and the workpiece at each processing node based on a wireless radio frequency monitoring mode, and determining consumption data of the raw material and the workpiece based on the inflow and outflow data;
acquiring the total storage amount of the raw materials and the workpieces in a preset storage area, and determining the current storage data based on the total storage amount and the consumption data;
the method for acquiring inflow and outflow data of the raw material and the workpiece at each processing node based on the wireless radio frequency monitoring and determining consumption data of the raw material and the workpiece based on the inflow and outflow data comprises the following steps:
simulating each processing node in the processing process of the numerical control machine tool on line, simulating the whole processing process, and recording inflow and outflow data of each process within one day, wherein the inflow and outflow data can reflect the using times of each process on raw materials and workpieces within one day;
estimating consumption data of the raw materials and the workpieces based on inflow and outflow data after simulating inflow and outflow data of the raw materials and the workpieces under each processing node, wherein the consumption data is consumption data of the workpieces and the raw materials in a corresponding day time or estimated consumption data of the next days or a week;
the simulating demand data of the raw material and the workpiece according to the current storage data and the consumption data comprises:
acquiring processing rule information of each processing node in the processing process of the numerical control machine tool, wherein the processing rule information comprises: the daily starting times of each processing node and the processing time after each starting;
determining estimated service time of the raw material and the workpiece based on the machining rule information, the current storage data and the consumption data, and determining the demand data based on the estimated service time;
or modeling continuous variables of the raw materials and the workpieces based on a system dynamic model, wherein the continuous variables are current stored data of the raw materials and the workpieces, the current stored data are determined by consumption data of the raw materials and the workpieces, and the consumption data are determined based on inflow and outflow data of the raw materials and the workpieces;
constructing a system power model based on inflow and outflow data, consumption data and current storage data of the raw materials and the workpieces, and automatically analyzing the current storage data based on the constructed system power model to determine the demand data;
screening out target participating bodies based on the supply data of each participating body, wherein the target participating bodies comprise manufacturers and transporters, and the method comprises the following steps:
obtaining supply data of each parameter main body, wherein the supply data comprises daily shipment data and order price data;
comparing the daily shipment data and the order price data of each parameter main body with preset expected shipment data and expected order price respectively;
if the daily shipment data is larger than the expected shipment data and the order price data is smaller than the expected order price, determining that a parameter subject corresponding to the daily shipment data being larger than the expected shipment data and the order price data being smaller than the expected order price is the target participation subject;
or taking each participating main body as an intelligent agent, then screening the multiple intelligent agents by using a constructed decision model, taking daily delivery data and order price data corresponding to each intelligent agent as decision parameters during screening, and automatically deciding a target intelligent agent by using the decision model to obtain a target participating main body; or, the self state and the surrounding environment of each agent are used as decision parameters to decide the most appropriate target agent based on the decision model;
the simulating a supply plan based on the target participant and the demand data includes:
simulating a supply scheduling period of each target participating body aiming at the demand data based on the target participating bodies and the demand data, and determining a supply priority order based on the supply scheduling period;
determining an order quantity according to the demand data, and determining a transportation batch plan made by the target participant for the demand data based on the order quantity;
determining the transportation route plan according to the position information of the target participating subject;
the simulating a supply plan based on the target participant and the demand data comprises:
determining the probability of occurrence of a delayed event based on the supply plan, and determining the arrival time of the raw material and the workpiece based on the probability of occurrence of the delayed event;
the delay events comprise material quality non-compliance or transportation delay events, influence factors of the delay events are purchasing events, geographic distances of suppliers and route flow, a multiple regression model is built according to the delay events and the influence factors of the delay events, the probability of the delay events is determined based on the multiple regression model, and then the arrival time of the raw materials and the workpieces is determined based on the probability of the delay events.
2. The method for simulating the machining process of the numerically-controlled machine tool based on the multidimensional perception according to claim 1, wherein the real-time monitoring of the current stored data and the consumed data of the raw materials and the workpieces of the machining process based on the multidimensional perception comprises:
monitoring the weight change of the raw material and the workpiece in a preset storage area based on a weight sensor;
and determining current storage data and consumption data of the raw materials and the workpieces based on the weight change and the original total weight of the raw materials and the workpieces in the preset storage area.
3. A simulation device for numerical control machine tool machining process based on multi-dimensional perception is characterized by comprising the following components:
the system comprises a demand data determining module, a data processing module and a data processing module, wherein the demand data determining module is used for monitoring the current storage data and the consumption data of raw materials and workpieces in a machining process in real time based on a multi-dimensional sensing mode, and simulating the demand data of the raw materials and the workpieces according to the current storage data and the consumption data;
the target participating subject determining module is used for simulating each participating subject on a supply chain corresponding to the raw material and the workpiece according to the demand data, and screening out target participating subjects based on supply data of each participating subject, wherein the target participating subjects comprise manufacturers and transporters;
a supply plan determining module, configured to simulate a supply plan based on the target participating subject and the demand data, where the supply plan includes a supply priority order, a transportation batch plan, and a transportation route plan;
the demand data determination module includes:
the consumption data determining unit is used for acquiring inflow and outflow data of the raw material and the workpiece at each processing node based on a wireless radio frequency monitoring mode, and determining the consumption data of the raw material and the workpiece based on the inflow and outflow data;
the storage data determining unit is used for acquiring the total storage number of the raw materials and the workpieces in a preset storage area and determining the current storage data based on the total storage number and the consumption data;
the consumption data determining unit includes:
simulating each processing node in the processing process of the numerical control machine tool on line, simulating the whole processing process, and recording inflow and outflow data of each process within one day, wherein the inflow and outflow data can reflect the using times of each process on raw materials and workpieces within one day;
estimating consumption data of the raw materials and the workpieces based on inflow and outflow data after simulating inflow and outflow data of the raw materials and the workpieces under each processing node, wherein the consumption data is consumption data of the workpieces and the raw materials in a corresponding day time or estimated consumption data of the next days or a week;
the demand data determination module includes:
the processing system comprises a rule information determining unit and a processing rule information processing unit, wherein the rule information determining unit is used for acquiring the processing rule information of each processing node in the processing process of the numerical control machine tool, and the processing rule information comprises: the daily starting times of each processing node and the processing time after each starting;
a use time estimation unit for determining estimated use time of the raw material and the workpiece based on the processing rule information, the current storage data and the consumption data, and determining the demand data based on the estimated use time;
or modeling continuous variables of the raw materials and the workpieces based on a system dynamic model, wherein the continuous variables are current stored data of the raw materials and the workpieces, the current stored data are determined by consumption data of the raw materials and the workpieces, and the consumption data are determined based on inflow and outflow data of the raw materials and the workpieces;
constructing a system power model based on inflow and outflow data, consumption data and current storage data of the raw materials and the workpieces, and automatically analyzing the current storage data based on the constructed system power model to determine the demand data;
the target participant determination module comprises:
the system comprises a goods supply data acquisition unit, a data processing unit and a data processing unit, wherein the goods supply data acquisition unit is used for acquiring goods supply data of each parameter main body, and the goods supply data comprises daily shipment data and order price data;
the data comparison unit is used for comparing the daily shipment data and the order price data of each parameter main body with preset expected shipment data and expected order price respectively;
a participating subject screening unit, configured to determine that a parameter subject corresponding to the daily shipment data being greater than the expected shipment data and the order price data being less than the expected order price is the target participating subject if the daily shipment data is greater than the expected shipment data and the order price data is less than the expected order price;
or taking each participating main body as an intelligent agent, then screening the multiple intelligent agents by using a constructed decision model, taking daily delivery data and order price data corresponding to each intelligent agent as decision parameters during screening, and automatically deciding a target intelligent agent by using the decision model to obtain a target participating main body; or, the self state and the surrounding environment of each agent are used as decision parameters to decide the most appropriate target agent based on the decision model;
the supply plan determining module includes:
a priority determining unit, configured to simulate a delivery scheduling period of each target participating body for the demand data based on the target participating bodies and the demand data, and determine the delivery priority order based on the delivery scheduling period;
a transportation plan determining unit, configured to determine an order amount according to the demand data, and determine a transportation lot plan made by the target participant for the demand data based on the order amount;
a transportation route planning unit, configured to determine the transportation route planning according to the position information of the target participating subject;
the supply plan determining module comprises:
the arrival time determining unit is used for determining the probability of occurrence of a delayed event based on the supply plan and determining the arrival time of the raw material and the workpiece based on the probability of occurrence of the delayed event;
the delay events comprise material quality non-compliance or transportation delay events, influence factors of the delay events are purchasing events, geographic distances of suppliers and route flow, a multiple regression model is built according to the delay events and the influence factors of the delay events, the probability of the delay events is determined based on the multiple regression model, and then the arrival time of the raw materials and the workpieces is determined based on the probability of the delay events.
4. A terminal device, characterized in that the terminal device comprises a memory, a processor and a simulation program of the numerical control machine based on multidimensional perception, which is stored in the memory and can run on the processor, and when the processor executes the simulation program of the numerical control machine based on multidimensional perception, the steps of the simulation method of the numerical control machine based on multidimensional perception according to any one of claims 1-2 are implemented.
5. A computer-readable storage medium, wherein the computer-readable storage medium stores thereon a simulation program of a machining process of a numerically controlled machine tool based on multidimensional sensing, and when the simulation program of the machining process of the numerically controlled machine tool based on multidimensional sensing is executed by a processor, the steps of the simulation method of the machining process of the numerically controlled machine tool based on multidimensional sensing according to any one of claims 1 to 2 are implemented.
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