CN117236822A - Intelligent goods delivery method, device, equipment and medium - Google Patents
Intelligent goods delivery method, device, equipment and medium Download PDFInfo
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Abstract
The application relates to an intelligent delivery method, a device, equipment and a medium, which relate to the technical field of semiconductor intelligent manufacturing, wherein the intelligent delivery method comprises the following steps: determining theoretical safe production total of the monitoring area according to the real-time capacity bandwidth of the cluster in the current monitoring area and the total waiting duration of the cluster; according to the weight level of the product to be dispatched, the residual waiting time of the cluster, the load of the cluster in the current monitoring area and the number of dispatchable machines, simulating dispatch is carried out on the cluster in the current monitoring area; determining the real-time safe production total amount of the machine group in the current monitoring area according to the real-time machine condition, the real-time machine limit and the inflow and outflow of the product in the current monitoring area; if the total real-time safe production amount is greater than or equal to the theoretical safe production amount, starting an upstream machine to stop goods. At least, the production efficiency of the machine in the regulation and control station can be improved, and the dependence on manpower is avoided.
Description
Technical Field
The present application relates to the field of semiconductor intelligent manufacturing technology, and in particular, to an intelligent goods delivery method, device, equipment and medium.
Background
In the semiconductor manufacturing Process, work In Process (WIP) enters a production machine for production at certain production sites within waiting Time (QT), so that the influence on production quality due to overlong stay Time (Over QT) of the Work In a humid environment is avoided.
The manufacturing unit is at the QT initial site, the WIP is manually controlled to put goods, the total quantity of products in the QT is controlled, and the condition that the machine is overmuch in products is avoided. Because the manual clamping control has higher dependence on the real-time working state, working attitude and experience value of an operator, and the state and capacity of the whole factory machine are difficult to comprehensively consider, partial machine downtime and surplus capacity of partial machine occur frequently in the factory, and even the condition that the waiting time of the lot exceeds the corresponding standard and the product is scrapped occurs.
Disclosure of Invention
Based on this, it is necessary to provide an intelligent delivery method, device, equipment and medium for solving the above-mentioned problems in the background art, which can at least improve the production efficiency of the machine in the control station, avoid depending on the real-time working state, working attitude and experience value of the operator, and avoid the occurrence of product yield reduction or scrapping event caused by untimely production.
To achieve the above and other objects, according to various embodiments of the present application, an aspect of the present application provides an intelligent delivery method, including:
determining theoretical safe production total of the monitoring area according to the real-time capacity bandwidth of the cluster in the current monitoring area and the total waiting time of the cluster, wherein the theoretical safe production total comprises the total incoming goods and the total spot goods of the cluster in the current monitoring area; the total incoming goods quantity comprises the running stock quantity of the upstream machine and the total incoming goods quantity of the measuring machine;
according to the weight level of the product to be dispatched, the residual waiting time of the cluster, the load of the cluster in the current monitoring area and the number of dispatchable machines, simulating dispatch is carried out on the cluster in the current monitoring area;
determining the real-time safe production total amount of the machine group in the current monitoring area according to the real-time machine condition, the real-time machine limit and the inflow and outflow of the product in the current monitoring area;
if the total real-time safe production amount is greater than or equal to the theoretical safe production amount, starting an upstream machine to stop goods.
In the intelligent dispatching method in the above embodiment, the theoretical safe production total amount of the monitoring area is determined according to the real-time capacity bandwidth of the cluster and the total waiting time of the cluster in the current monitoring area, and the theoretical safe production total amount includes the running stock total amount of the upstream machine, the measuring machine stock total amount, and the stock total amount of the cluster in the current monitoring area, so that the theoretical safe production total amount covers not only the stock total amount and the stock total amount of the cluster in the current monitoring area, but also the influencing factors of the real-time capacity bandwidth of the cluster and the total waiting time of the cluster on the safe production total amount of the cluster. According to the weight level of the product to be dispatched, the residual waiting time of the cluster and the number of the machines which can be dispatched in the current monitoring area, the simulation dispatch is carried out on the cluster in the current monitoring area, the weight level of the product to be dispatched, the residual waiting time of the cluster and the number of the machines which can be dispatched in the current monitoring area can be simultaneously considered and weighed, and the situation that the high-weight-level product is dispatched after the low-weight-level product, so that the productivity economic benefit is reduced is avoided; the cluster load and the number of the dispatchable machines in the current monitoring area can be fully considered, the situations that part of the machines are overloaded and part of the machines are idle are avoided, and the maximization of the factory productivity and benefit is facilitated. And determining the real-time safe production total amount of the machine group in the current monitoring area according to the real-time machine condition, the real-time machine limit and the inflow and outflow of the product in the current monitoring area, and if the real-time safe production total amount is greater than or equal to the theoretical safe production total amount, starting an upstream machine to stop the product, so that the situation that the real-time safe production total amount seriously exceeds the theoretical safe production total amount due to the emergency in the actual production process and the simulated dispatching scheme cannot meet the actual productivity benefit requirement is avoided.
In some embodiments, performing simulated dispatch of a cluster within a current monitored area includes:
determining average waiting total duration according to historical waiting duration data of clusters in the current monitoring area;
determining virtual waiting time length and virtual safety production total amount of the clusters in the current monitoring area according to the number of the clusters and the average waiting total time length in the current monitoring area;
if the real-time safe production total amount of the current machine group in the current monitoring area is larger than or equal to the virtual safe production total amount, controlling the simulated dispatching production speed of the current machine group to be reduced;
and if the real-time residual virtual waiting time length of the current machine group is smaller than zero, controlling the simulated dispatching production speed of the current machine group to increase.
In some embodiments, performing simulated dispatch of a cluster within a current monitored area includes:
acquiring a dispatching weight corresponding to the weight level of a product to be dispatched;
and simulating dispatch of the cluster in the current monitoring area according to the dispatch weight of the product to be dispatched, the residual waiting time of the cluster, the load of the cluster in the current monitoring area and the number of dispatchable machines.
In some embodiments, the theoretical safe total amount of production is also associated with the product type and/or product process type of the cluster within the current monitored area.
In some embodiments, the intelligent shipping method further comprises:
obtaining a safety production coefficient;
determining the initial safe production total amount of the monitoring area according to the real-time capacity bandwidth of the cluster in the current monitoring area and the total waiting duration of the cluster;
and calculating theoretical safe production total according to the safe production coefficient and the initial safe production total.
In some embodiments, initiating upstream tool keep-off includes:
generating a stop indication signal or a safety production indication signal.
The application provides an intelligent goods delivery device, which comprises a parameter acquisition module, a simulated dispatching module, a monitoring module and a goods blocking module, wherein the acquisition module is used for determining theoretical safe production total of a monitoring area according to the real-time capacity bandwidth of a cluster in the current monitoring area and the total waiting time of the cluster, and the theoretical safe production total comprises the total quantity of incoming goods and the total quantity of spot goods of the cluster in the current monitoring area; the total incoming goods quantity comprises the running stock quantity of the upstream machine and the total incoming goods quantity of the measuring machine; the simulation dispatching module is used for carrying out simulation dispatching on the machine group in the current monitoring area according to the weight level of the product to be dispatched, the residual waiting time of the machine group, the load of the machine group in the current monitoring area and the number of the dispatchable machines; the monitoring module is used for determining the real-time safe production total amount of the machine group in the current monitoring area according to the real-time machine condition, the real-time machine limit and the inflow and outflow of the product in the current monitoring area; and the goods blocking module is used for starting the upstream machine to stop goods if the real-time safe production total amount is greater than or equal to the theoretical safe production total amount.
In some embodiments, the analog dispatch module includes an average waiting total duration acquiring module, a virtual parameter acquiring module, a speed reducing unit and a speed increasing unit, where the average waiting total duration acquiring module is configured to determine an average waiting total duration according to historical waiting duration data of a cluster in a current monitoring area; the virtual parameter acquisition module is used for determining virtual waiting time length and virtual safety production total amount of the clusters in the current monitoring area according to the number of the clusters and the average waiting total time length in the current monitoring area; the speed reducing unit is used for controlling the simulated dispatching production speed of the current machine group to be reduced if the real-time safe production total amount of the current machine group in the current monitoring area is greater than or equal to the virtual safe production total amount; and the speed increasing unit is used for controlling the simulated dispatching production speed of the current cluster to increase if the real-time residual virtual waiting time length of the current cluster is smaller than zero.
In a further aspect, the present application provides a computer device, including a memory and a processor, where the memory stores a computer program, and the processor implements the steps of the intelligent delivery method described above when executing the computer program.
Yet another aspect of the present application provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the intelligent dispatch method described above.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a diagram illustrating an application environment of an intelligent delivery method according to an embodiment of the present application;
FIG. 2 is a flow chart of an intelligent delivery method according to an embodiment of the present application;
FIG. 3 is a flow chart of an intelligent delivery method according to another embodiment of the present application;
FIG. 4 is a schematic diagram of a simulation dispatch method according to an embodiment of the present application;
FIG. 5 is a schematic diagram of an intelligent delivery device according to an embodiment of the present application;
FIG. 6 is a schematic diagram of an intelligent delivery device according to another embodiment of the present application;
fig. 7 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Reference numerals illustrate:
100. an intelligent goods delivery device; 11. a parameter acquisition module; 12. the simulation dispatching module; 13. a monitoring module; 14. a cargo blocking module; 101. average waiting total duration obtaining module; 102. a virtual parameter acquisition module; 103. a speed reducing unit; 104. and a speed increasing unit.
Detailed Description
In order that the application may be readily understood, a more complete description of the application will be rendered by reference to the appended drawings. The drawings illustrate preferred embodiments of the application. This application may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.
Where the terms "comprising," "having," and "including" are used herein, another component may also be added unless explicitly defined as such, e.g., "consisting of … …," etc. Unless mentioned to the contrary, singular terms may include plural and are not to be construed as being one in number.
In the present application, unless explicitly specified and limited otherwise, the terms "mounted," "connected," "secured," and the like are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communicated with the inside of two elements or the interaction relationship of the two elements. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art according to the specific circumstances.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated.
In the semiconductor manufacturing process, WIP is required to enter a machine for production at certain production stations within waiting time, so that the quality of the prepared product is prevented from being influenced by staying too long in a humidity environment. Manufacturing is started at a starting station/safety station (Entry) with a waiting Time unit, WIP is manually controlled to put goods, and the QT safety water level is controlled, so that the problem that the production quality is affected due to too long stay Time (Over Time, QT) of WIP in a humid environment due to the fact that the machining is not performed too much due to the fact that the cluster in the current monitoring area is limited by the corresponding upper productivity limit is avoided. In the process of manually controlling WIP delivery by card, a real-Time dispatch system (Real Time Dispatching, RTD) can be used for controlling the RTD 1 hour before the WIP QT of the current cluster is terminated to forcibly require the product to enter the machine for production, so that the WIP is prevented from staying in a humid environment for too long (Over Time, QT).
However, the semiconductor process is complicated, a single cluster is generally required to process a plurality of products with different processes, different WIPs have different waiting time standards (QT specs), and if the real-time dispatch system dispatches according to the residual QT of the WIP, the process Recipe (Recipe) is converted to affect the production efficiency of the machine. If QT limitation requirements exist in the continuous process, and the capacity of the upstream and downstream clusters is not uniform, the QT safety water level of WIP is manually controlled and managed, so that it is difficult to combine the maximum capacity requirements of the upstream and downstream clusters with different QT Spec requirements of different processes, and the Over QT is easily caused. In addition, if some process Recipe (Recipe) is not produced for a long time or the quality of a specific product is abnormal, the authority of producing the Recipe or the specific product can be blocked and controlled, so that the cluster productivity is often too high (product is easy to override QT) or too low (machine idle is easy to generate) due to the fact that the QT safety water level control is not in place under the dynamic limit of the production quality control tube.
In a word, the artificial card control QT starts to put goods at the production site, controls the WIP safety water level according to personal experience, and matches with the RTD system to dispatch when the station, and is difficult to achieve the production mode of attack and defense between the machine yield maximization and the WIP QT defense.
The intelligent goods delivery method provided by the embodiment of the application can be applied to an application environment shown in figure 1, at least can improve the production efficiency of a machine in a regulation and control station, and avoid the occurrence of product yield reduction or scrapping events caused by untimely production while avoiding depending on the real-time working state, working attitude and experience value of an operator. In the application environment, the terminal 104 communicates with the server 102 through a network, the server 102 is in communication connection with a server receiving end, and the terminal 104 can also be directly in communication connection with the server receiving end, wherein a communication connection mode comprises wired or wireless connection.
For example, the intelligent dispatching method is applied to the terminal 104, the terminal 104 obtains the cluster real-time capacity bandwidth and the cluster waiting total duration in the current monitoring area from the server receiving end, and determines the theoretical safe production total of the monitoring area according to the cluster real-time capacity bandwidth and the cluster waiting total duration in the current monitoring area, wherein the theoretical safe production total comprises the total incoming goods amount and the spot goods amount of the clusters in the current monitoring area; the total incoming goods quantity comprises the running stock quantity of the upstream machine and the total incoming goods quantity of the measuring machine; the terminal 104 carries out simulated dispatching on the cluster in the current monitoring area according to the weight level of the product to be dispatched, the residual waiting time of the cluster, the load of the cluster in the current monitoring area and the number of dispatchable machines; the terminal 104 further determines the real-time safe production total of the cluster in the current monitoring area according to the real-time machine condition and the real-time limit of the cluster in the current monitoring area and the inflow and outflow of the product, and if the real-time safe production total is greater than or equal to the theoretical safe production total, starts the upstream machine to stop the product. The terminal 104 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, and internet of things devices, which may be smart speakers, smart televisions, smart air conditioners, smart vehicle devices, etc. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The server 102 may be implemented as a stand-alone server or as a server cluster of multiple servers. The terminal 104 and the server 102 may be connected directly or indirectly through wired or wireless communication means, such as through a network connection.
For another example, the intelligent dispatching method is applied to the server 102, the server 102 obtains the real-time capacity bandwidth of the cluster and the total waiting time of the cluster in the current monitoring area from the server receiving end, and determines the theoretical safe production total of the monitoring area according to the real-time capacity bandwidth of the cluster and the total waiting time of the cluster in the current monitoring area, wherein the theoretical safe production total comprises the total incoming goods and the spot goods total of the cluster in the current monitoring area; the total incoming goods quantity comprises the running stock quantity of the upstream machine and the total incoming goods quantity of the measuring machine; according to the weight level of the product to be dispatched, the residual waiting time of the cluster, the load of the cluster in the current monitoring area and the number of dispatchable machines, simulating dispatch is carried out on the cluster in the current monitoring area; determining the real-time safe production total amount of the machine group in the current monitoring area according to the real-time machine condition, the real-time machine limit and the inflow and outflow of the product in the current monitoring area; if the total real-time safe production amount is greater than or equal to the theoretical safe production amount, starting an upstream machine to stop goods.
As shown in fig. 2, in one embodiment of the present application, an intelligent delivery method is provided, and this embodiment is illustrated by applying the intelligent delivery method to a processor, where it is understood that the processor may be located on a terminal or a server.
Based on this, please refer to fig. 2, the present application provides an intelligent delivery method, which includes:
step S20: determining theoretical safe production total of the monitoring area according to the real-time capacity bandwidth of the cluster in the current monitoring area and the total waiting time of the cluster, wherein the theoretical safe production total comprises the total incoming goods and the total spot goods of the cluster in the current monitoring area; the total incoming goods quantity comprises the running stock quantity of the upstream machine and the total incoming goods quantity of the measuring machine;
step S40: according to the weight level of the product to be dispatched, the residual waiting time of the cluster, the load of the cluster in the current monitoring area and the number of dispatchable machines, simulating dispatch is carried out on the cluster in the current monitoring area;
step S60: determining the real-time safe production total amount of the machine group in the current monitoring area according to the real-time machine condition, the real-time machine limit and the inflow and outflow of the product in the current monitoring area;
step S80: if the total real-time safe production amount is greater than or equal to the theoretical safe production amount, starting an upstream machine to stop goods.
Specifically, the theoretical safe production total amount of the monitoring area is determined according to the real-time capacity bandwidth of the cluster and the total cluster waiting time in the current monitoring area, wherein the theoretical safe production total amount comprises the running spot total amount of an upstream machine, the incoming stock total amount of a measuring machine and the spot total amount of the cluster in the current monitoring area, so that the theoretical safe production total amount not only covers the incoming stock total amount and the spot total amount of the cluster in the current monitoring area, but also covers the influencing factors of the real-time capacity bandwidth of the cluster and the total cluster waiting time to the safe production total amount of the cluster. According to the weight level of the product to be dispatched, the residual waiting time of the cluster and the number of the machines which can be dispatched in the current monitoring area, the simulation dispatch is carried out on the cluster in the current monitoring area, the weight level of the product to be dispatched, the residual waiting time of the cluster and the number of the machines which can be dispatched in the current monitoring area can be simultaneously considered and weighed, and the situation that the high-weight-level product is dispatched after the low-weight-level product, so that the productivity economic benefit is reduced is avoided; the cluster load and the number of the dispatchable machines in the current monitoring area can be fully considered, the situations that part of the machines are overloaded and part of the machines are idle are avoided, and the maximization of the factory productivity and benefit is facilitated. And determining the real-time safe production total amount of the machine group in the current monitoring area according to the real-time machine condition, the real-time machine limit and the inflow and outflow of the product in the current monitoring area, and if the real-time safe production total amount is greater than or equal to the theoretical safe production total amount, starting an upstream machine to stop the product, so that the situation that the real-time safe production total amount seriously exceeds the theoretical safe production total amount due to the emergency in the actual production process and the simulated dispatching scheme cannot meet the actual productivity benefit requirement is avoided.
In some embodiments, referring to fig. 3, the intelligent delivery method further includes:
step S11: determining average waiting total duration according to historical waiting duration data of clusters in the current monitoring area;
step S12: determining virtual waiting time length and virtual safety production total amount of the clusters in the current monitoring area according to the number of the clusters and the average waiting total time length in the current monitoring area;
step S13: if the real-time safe production total amount of the current machine group in the current monitoring area is larger than or equal to the virtual safe production total amount, controlling the simulated dispatching production speed of the current machine group to be reduced;
step S14: and if the real-time residual virtual waiting time length of the current machine group is smaller than zero, controlling the simulated dispatching production speed of the current machine group to increase.
Specifically, referring to fig. 4, with the current monitoring area including cluster a, cluster B, cluster C, and cluster D, the working period may be proportionally divided into a plurality of QT intervals according to N balance average cycle working periods (QT Loop, QT loop=48 hours) of the cluster a, the cluster B, the cluster C, and the cluster D, for example, the plurality of QT intervals include: QT1, qt1=12hr (hours) between cluster a and cluster B; QT2, qt2=24 HR (hours) between cluster B and cluster C; QT3, qt3=12hr (hours) between cluster C and cluster D. Then determining virtual waiting time length and virtual safety production total amount of the machine group A, the machine group B, the machine group C and the machine group D according to the QT1, the QT2 and the QT 3; wherein the virtual waiting time period includes: virtual wait time period 1 (VQT 1) between CT:2 and CT:1 between cluster a and cluster B, CT:2 being located between cluster B and cluster C, VQT 1=12 HR (hours); virtual wait time period 2 (VQT 2), VQT2 =36 HR (hours) between CT:2 and CT:1 between cluster C and cluster D. And if the real-time safe production total amount of the current machine group such as the machine group A in the current monitoring area is larger than or equal to the virtual safe production total amount, controlling the simulated dispatching production speed of the current machine group to be reduced. The virtual safe production total amount of the cluster a is the corresponding remaining virtual safe production total amount in the current remaining VQT1, and the real-time safe production total amount of the cluster a is greater than or equal to the virtual safe production total amount, which indicates that if the cluster a continues to produce at the current simulated dispatching production speed, serious overload condition occurs, so that the simulated dispatching production speed of the current cluster needs to be controlled to be reduced, and the simulated dispatching production speeds of the cluster B, the cluster C and the cluster D are increased, so that the conditions of overload of part of the machines and idle part of the machines are avoided, and the maximization of factory productivity and benefit is facilitated.
Further, referring to fig. 4, if the current remaining VQT1<0 of the current cluster, e.g., cluster a, indicates that the production progress before cluster a is behind the expected production progress, the current cluster, e.g., cluster a, is controlled to accelerate production, thereby avoiding the situations of overload of the machine and idle of a part of the machine in the QT Loop, improving the efficiency of the cluster in the QT Loop, and completing the expected production objective.
In some embodiments, performing the simulated dispatch of the cluster in the current monitoring area in step S40 includes:
step S41: acquiring a dispatching weight corresponding to the weight level of a product to be dispatched;
step S42: and simulating dispatch of the cluster in the current monitoring area according to the dispatch weight of the product to be dispatched, the residual waiting time of the cluster, the load of the cluster in the current monitoring area and the number of dispatchable machines.
In particular, the weight level may include a first stage, a second stage, a third stage, and a fourth stage for indicating that the degree of production urgency is sequentially reduced. For example, a WIP with a first weight level may be degraded (product to engineering cargo) or directly rejected if subjected to an excessive residence time in a humid environment, where the product to engineering cargo refers to converting a product that cannot be shipped normally into an engineering test product, to maximize the utilization of the nearly rejected product. If the WIP with the weight level of the second level accelerates production as soon as possible, the electrical performance parameter test is performed before leaving the factory, so that the degradation (product to engineering goods) or direct rejection can be avoided. WIP with a third level of weight requires reworking and tracking on-line data, and electrical performance parameter testing before shipping is required. WIP with weight level four requires fast production acceleration and tracking of online data. Of course, in order to further improve the utilization rate of the product, the residual value of the product can be determined according to the electrical performance parameters of the product, and unnecessary waste of the residual value caused by direct scrapping is avoided.
More specifically, the system simulates the total amount of lots allowed to enter the QT interval (filled into the virtual QT box) before the QT is cut off, which is called the virtual safe production total amount, according to the size of the dispatching weight of each lot of products, the load of the machine, the number of the machines which can be dispatched by the lot, and the like. The theoretical total amount of safe production is also related to the product type and/or product process type of the cluster within the current monitored area. The actual fleet may be faced with one or more emergency situations such as incoming, critical monitoring of lots, priority handling of high-level lots, need to meet fleet target throughput requirements, and forced dispatch of lots if the remaining QT is less than 1 hour. Therefore, the machine condition, the machine limit and the WIP inflow or outflow are confirmed every M minutes, M is more than 0, the real-time safe production total of the current machine group is obtained, and if the real-time safe production total is exceeded, the upstream machine is started for blocking goods. The machine condition includes whether there are conditions such as cargo blocking, WIP running, WIP waiting, WIP suspension, etc. caused by the machine condition. The key monitoring of the lot includes: the lot waiting time is over 12 hours or the remaining QT is less than or equal to 2 hours. The incoming call includes the WIP being run by the host station and the WIP being entered by the metrology station.
In some embodiments, the intelligent shipping method further comprises:
step S91: obtaining a safety production coefficient;
step S92: determining the initial safe production total amount of the monitoring area according to the real-time capacity bandwidth of the cluster in the current monitoring area and the total waiting duration of the cluster;
step S93: and calculating theoretical safe production total according to the safe production coefficient and the initial safe production total.
Specifically, the initial safe production total amount of the monitoring area is generally determined according to the real-time capacity bandwidth of the cluster and the total waiting time of the cluster in the current monitoring area, however, as various emergency situations can be encountered in the actual production process of the machine, the theoretical safe production total amount is calculated according to the safe production coefficient and the initial safe production total amount, so that the reliability of the theoretical safe production total amount is increased, and the occurrence of an error goods blocking instruction is avoided.
In some embodiments, initiating upstream machine cargo blocking includes generating a cargo blocking indication signal or a safe production indication signal to initiate automatic cargo blocking or to prompt manual cargo blocking by the machine.
In some embodiments, please refer to fig. 5, an intelligent dispatching device 100 includes a parameter obtaining module 11, a simulated dispatching module 12, a monitoring module 13 and a cargo blocking module 14, wherein the parameter obtaining module 11 is configured to determine a theoretical safe total production amount of a monitoring area according to a cluster real-time capacity bandwidth and a cluster waiting total duration in the current monitoring area, the theoretical safe total production amount includes a total incoming cargo amount and a total spot cargo amount of a cluster in the current monitoring area; the total incoming goods quantity comprises the running stock quantity of the upstream machine and the total incoming goods quantity of the measuring machine; the simulation dispatching module 12 is used for performing simulation dispatching on the cluster in the current monitoring area according to the weight level of the product to be dispatched, the residual waiting time of the cluster, the load of the cluster in the current monitoring area and the number of dispatchable machines; the monitoring module 13 is used for determining the real-time safe production total amount of the machine group in the current monitoring area according to the real-time machine condition, the real-time machine limit and the inflow and outflow of the product in the current monitoring area; the cargo blocking module 14 is configured to start the upstream machine to block cargo if the real-time safe production total is greater than or equal to the theoretical safe production total.
In some embodiments, referring to fig. 6, an intelligent delivery device 100 includes an average waiting total duration acquiring module 101, a virtual parameter acquiring module 102, a speed reducing unit 103, and a speed increasing unit 104, where the average waiting total duration acquiring module 101 is configured to determine an average waiting total duration according to historical waiting duration data of a cluster in a current monitoring area; the virtual parameter obtaining module 102 is configured to determine a virtual waiting duration and a virtual safe production total amount of the clusters in the current monitoring area according to the number of the clusters and the average waiting total duration in the current monitoring area; the speed reducing unit 103 is configured to control the simulated dispatching production speed of the current cluster to be reduced if the real-time safe production total amount of the current cluster in the current monitoring area is greater than or equal to the virtual safe production total amount; the speed increasing unit 104 is configured to control the simulated dispatch production speed of the current cluster to increase if the real-time remaining virtual waiting time length of the current cluster is less than zero.
In one embodiment, a computer device is provided, the internal structure of which may be as shown in FIG. 7. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement an intelligent delivery method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structure shown in FIG. 7 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having stored therein a computer program, the processor executing the steps of the method of any of the above-described intelligent dispatch methods.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, implements the steps of the method of any of the above-described intelligent dispatch methods.
In one embodiment, a computer program product is provided comprising a computer program which, when executed by a processor, implements the steps of the method of any one of the above-described intelligent dispatch methods.
The user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are information and data authorized by the user or sufficiently authorized by each party.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magneto-resistive Random Access Memory, MRAM), ferroelectric Memory (FerroelectricRandom Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto. The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the disclosure. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application.
Claims (10)
1. An intelligent delivery method is characterized by comprising the following steps:
determining theoretical safe production total quantity of a monitoring area according to the real-time capacity bandwidth of the cluster in the current monitoring area and the total waiting time of the cluster, wherein the theoretical safe production total quantity comprises the total quantity of incoming goods and the total quantity of spot goods of the cluster in the current monitoring area; the total incoming goods quantity comprises the running stock quantity of the upstream machine and the total incoming goods quantity of the measuring machine;
according to the weight level of the product to be dispatched, the residual waiting time of the cluster, the load of the cluster in the current monitoring area and the number of dispatchable machines, simulating dispatch is carried out on the cluster in the current monitoring area;
determining the real-time safe production total amount of the machine group in the current monitoring area according to the real-time machine condition, the real-time machine limit and the inflow and outflow of products in the current monitoring area;
and if the real-time safe production total amount is greater than or equal to the theoretical safe production total amount, starting an upstream machine to stop goods.
2. The intelligent delivery method according to claim 1, comprising:
determining average waiting total duration according to historical waiting duration data of clusters in the current monitoring area;
determining virtual waiting time length and virtual safety production total amount of the clusters in the current monitoring area according to the number of the clusters in the current monitoring area and the average waiting total time length;
if the real-time safe production total amount of the current machine group in the current monitoring area is larger than or equal to the virtual safe production total amount, controlling the simulated dispatching production speed of the current machine group to be reduced;
and if the real-time residual virtual waiting time length of the current machine group is smaller than zero, controlling the simulated dispatching production speed of the current machine group to increase.
3. The intelligent dispatch method of claim 1, wherein performing simulated dispatch on the cluster in the current monitored area comprises:
acquiring a dispatching weight corresponding to the weight level of the product to be dispatched;
and simulating dispatch of the cluster in the current monitoring area according to the dispatch weight of the product to be dispatched, the residual waiting time of the cluster, the load of the cluster in the current monitoring area and the number of dispatchable machines.
4. A method of intelligent dispatching according to any one of claims 1 to 3, wherein the theoretical total amount of safe production is also related to the product type and/or product process type of the cluster in the current monitored area.
5. A method of intelligent delivery as set forth in any one of claims 1 to 3, further comprising:
obtaining a safety production coefficient;
determining the initial safe production total amount of a monitoring area according to the real-time capacity bandwidth of a cluster in the current monitoring area and the total waiting duration of the cluster;
and calculating the theoretical safe production total according to the safe production coefficient and the initial safe production total.
6. A method of intelligent delivery according to any of claims 1-3, wherein said enabling upstream station for stopping comprises:
generating a stop indication signal or a safety production indication signal.
7. An intelligent delivery device, comprising:
the parameter acquisition module is used for determining theoretical safe production total of the monitoring area according to the real-time capacity bandwidth of the cluster in the current monitoring area and the total waiting time of the cluster, wherein the theoretical safe production total comprises the total incoming goods and the total spot goods of the cluster in the current monitoring area; the total incoming goods quantity comprises the running stock quantity of the upstream machine and the total incoming goods quantity of the measuring machine;
the simulation dispatching module is used for carrying out simulation dispatching on the machine group in the current monitoring area according to the weight level of the product to be dispatched, the residual waiting time of the machine group, the load of the machine group in the current monitoring area and the number of the dispatchable machines;
the monitoring module is used for determining the real-time safe production total amount of the machine group in the current monitoring area according to the real-time machine condition, the real-time machine limit and the inflow and outflow of products in the current monitoring area;
and the goods blocking module is used for starting an upstream machine to stop goods if the real-time safe production total amount is greater than or equal to the theoretical safe production total amount.
8. The intelligent dispatch apparatus of claim 7, wherein the analog dispatch module comprises:
the average waiting total duration acquisition module is used for determining average waiting total duration according to historical waiting duration data of the clusters in the current monitoring area;
the virtual parameter acquisition module is used for determining virtual waiting time length and virtual safety production total amount of the clusters in the current monitoring area according to the number of the clusters in the current monitoring area and the average waiting total time length;
the speed reducing unit is used for controlling the simulated dispatching production speed of the current machine group to be reduced if the real-time safe production total amount of the current machine group in the current monitoring area is larger than or equal to the virtual safe production total amount;
and the speed increasing unit is used for controlling the simulated dispatching production speed of the current cluster to increase if the real-time residual virtual waiting time length of the current cluster is smaller than zero.
9. A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the steps of the method of any one of claims 1-6 when the computer program is executed.
10. A computer-readable storage medium, characterized in that a computer program is stored thereon, which computer program, when being executed by a processor, realizes the steps of the method according to any of claims 1-6.
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