CN116341281B - Method and system for determining work rate, storage medium and terminal - Google Patents
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Abstract
The application discloses a method and a system for determining a work rate, a storage medium and a terminal, relates to the technical field of flow control of process industry production processes, and mainly aims to solve the problem that the error of the work rate value obtained by simple estimation through experience is large in the prior art. Comprising the following steps: responding to a work rate determining instruction of the current production process flow, and selecting a target work rate determining rule from a plurality of preset work rate determining rules; acquiring operation rate determining elements required by the target operation rate determining rule based on a simulation model of the current production process flow; and determining the operation rate of the current production process flow according to the operation rate determination element and the target operation rate determination rule.
Description
Technical Field
The application relates to the technical field of process control of process industry production processes, in particular to a method and a system for determining an operation rate, a storage medium and a terminal.
Background
The operation rate is an important parameter of the design and production operation and maintenance of the factory, and whether the value of the operation rate is accurate directly influences the capital investment, the operation cost and the economic benefit of the factory. If the operation rate is larger, after the factory is built and put into operation, the actual production capacity cannot reach the preset operation rate, so that the production cannot be normally achieved, the economic benefit is further influenced, and the investment is overlarge. If the operation rate is smaller, the actual production capacity is excessive, so that the investment is insufficient, and the economic benefit is also affected. The traditional operation rate value is conservative, a smaller value and a margin coefficient are usually set to ensure that the production is successfully achieved after the production is put into operation, but the actual production capacity is quite easy to be larger than the operation rate value, so that the investment is insufficient, and the production process flow is usually composed of a plurality of parts, the operation rate value of each part is carried out on the basis of the upstream operation rate value, and the whole operation rate value deviation is increased through repeated superposition.
In order to more accurately determine the operation rate, the prior art mainly focuses on the following two methods, namely, acquiring the operation rate of a historical engineering project similar to the current engineering project, configuring a coefficient according to the actual condition of the current engineering project, and taking the product of the operation rate of the historical engineering project and the coefficient as the operation rate of the current engineering project; secondly, setting a main equipment operation time interval value and a maintenance time interval value according to production experience and data, and estimating through a formula.
However, both methods rely on experience to make simple estimates, resulting in still large errors in the obtained values of the work rate.
Disclosure of Invention
In view of the above, the present application provides a method and a system for determining a working rate, a storage medium, and a terminal, and aims to solve the problem that the error of the working rate obtained by simple estimation by experience is large.
According to an aspect of the present application, there is provided a method of determining a work rate, including:
responding to a determining instruction of the current production process flow operation rate, and selecting a target operation rate determining rule from a plurality of preset operation rate determining rules;
acquiring operation rate determining elements required by the target operation rate determining rule based on a simulation model of the current production process flow;
and determining the operation rate of the current production process flow according to the operation rate determination element and the target operation rate determination rule.
Preferably, before the obtaining, based on the simulation model of the current production process flow, the operation rate determining element required by the target operation rate determining rule, the method further includes:
connecting production simulation modules of all production procedures included in the current production process flow to generate an initial simulation model of the current production process flow;
and optimizing the initial simulation model based on the overhaul parameters of the current production process flow to obtain an optimized simulation model.
Preferably, before the connection processing is performed on the production simulation modules of each production procedure included in the current production process flow and the initial simulation model of the current production process flow is generated, the method further includes:
and constructing a production simulation module corresponding to each production procedure according to the production parameters and the fault parameters of each production procedure.
Preferably, the method further comprises:
respectively arranging buffer procedures at a plurality of preset positions in the current production process flow;
and configuring buffer parameters for the buffer process according to at least one production parameter and fault parameter of a production process adjacent to the buffer process, and obtaining a production simulation module corresponding to each buffer process.
Preferably, the method further comprises:
and adding the production simulation modules corresponding to the buffer procedures to corresponding preset positions to finish secondary optimization processing of the optimized simulation model, so as to obtain a simulation model after secondary optimization.
Preferably, the adding the production simulation modules corresponding to the buffer procedures to corresponding preset positions to complete the secondary optimization processing of the optimized simulation model, and after obtaining the secondary optimized simulation model, the method further includes:
configuring catch-up coefficients for production processes adjacent to the buffer processes according to the buffer parameters of the buffer processes to obtain a simulation model after three times of optimization;
the operation rate determining element required by the target operation rate determining rule is obtained based on the simulation model of the current production process flow, and specifically comprises the following steps:
and acquiring the operation rate determining elements required by the target operation rate determining rule based on the three-time optimized simulation model of the current production process flow.
Preferably, the preset operation rate determination rule includes at least one of an operation rate determination rule having a production time as an operation rate determination element, an operation rate determination rule having a product yield as an operation rate determination element, an operation rate determination rule having a raw material throughput as an operation rate determination element, and an operation rate determination rule having a fluid throughput as an operation rate determination element.
According to another aspect of the present application, there is provided a system for determining a work rate, comprising:
the selecting module is used for responding to the determining instruction of the operation rate of the current production engineering flow, and selecting a target operation rate determining rule from a plurality of preset operation rate determining rules;
the acquisition module is used for acquiring the operation rate determination elements required by the target operation rate determination rule based on the simulation model of the current production process flow;
and the determining module is used for determining the operation rate of the current production process flow according to the operation rate determining element and the target operation rate determining rule.
Preferably, the system further comprises:
the connection module is used for connecting the production simulation modules of all production procedures included in the current production process flow to generate an initial simulation model of the current production process flow;
and the optimization module is used for optimizing the initial simulation model based on the overhaul parameters of the current production process flow to obtain an optimized simulation model.
Preferably, before the connecting module, the system further comprises:
and the construction module is used for constructing the production simulation module corresponding to each production procedure according to the production parameters and the fault parameters of each production procedure.
Preferably, the system further comprises:
the arrangement module is used for respectively arranging buffer procedures at a plurality of preset positions in the current production process flow;
the first configuration module is used for configuring the buffer parameters for the buffer processes according to at least one production parameter and fault parameter of the production process adjacent to the buffer processes, and obtaining production simulation modules corresponding to the buffer processes.
Preferably, the system further comprises:
and the adding module is used for adding the production simulation modules corresponding to the buffer procedures to the corresponding preset positions so as to finish the secondary optimization processing of the optimized simulation model and obtain a simulation model after secondary optimization.
Preferably, after the adding module, the system further includes:
the second configuration module is used for configuring catch-up coefficients for production processes adjacent to the buffer processes according to the buffer parameters of the buffer processes so as to obtain a simulation model after three times of optimization;
the acquisition module is specifically configured to:
and acquiring the operation rate determining elements required by the target operation rate determining rule based on the three-time optimized simulation model of the current production process flow.
Preferably, the preset operation rate determination rule includes at least one of an operation rate determination rule having a production time as an operation rate determination element, an operation rate determination rule having a product yield as an operation rate determination element, an operation rate determination rule having a raw material throughput as an operation rate determination element, and an operation rate determination rule having a fluid throughput as an operation rate determination element.
According to still another aspect of the present application, there is provided a storage medium having stored therein at least one executable instruction for causing a processor to perform operations corresponding to the above-described method of determining a job rate.
According to still another aspect of the present application, there is provided a terminal including: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the operation rate determining method.
By means of the technical scheme, the technical scheme provided by the embodiment of the application has at least the following advantages:
the application provides a method and a system for determining the operation rate, a storage medium and a terminal, wherein a target operation rate determination rule is selected from a plurality of preset operation rate determination rules in response to a determination instruction of the operation rate of the current production process flow; secondly, acquiring operation rate determining elements required by the target operation rate determining rule based on a simulation model of the current production process flow; and finally, determining the operation rate of the current production process flow according to the operation rate determination element and the target operation rate determination rule. Compared with the prior art, the embodiment of the application has the advantages that the simulation model of the production process flow is established to simulate the whole production process flow, and the operation rate of the current production process flow is determined based on the simulation model, so that the accuracy of the operation rate value is effectively improved; the purpose of determining the operation rate from multiple dimensions is achieved by setting multiple preset operation rate determining rules, and the accuracy of the operation rate value can be further improved by carrying out transverse comparison screening on the operation rates obtained from different dimensions.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the application. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
FIG. 1 shows a flow chart of a method for determining a work rate according to an embodiment of the present application;
FIG. 2 is a flowchart of another method for determining a work rate according to an embodiment of the present application;
FIG. 3 shows a random fault statistics table provided by an embodiment of the present application;
FIG. 4 illustrates a service plan provided by an embodiment of the present application;
FIG. 5 shows a block diagram of a device for determining a work rate according to an embodiment of the present application;
fig. 6 shows a schematic structural diagram of a terminal according to an embodiment of the present application.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Meanwhile, it should be understood that the sizes of the respective parts shown in the drawings are not drawn in actual scale for convenience of description.
The following description of at least one exemplary embodiment is merely exemplary in nature and is in no way intended to limit the application, its application, or uses.
Techniques, methods, and apparatus known to one of ordinary skill in the relevant art may not be discussed in detail, but are intended to be part of the specification where appropriate.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further discussion thereof is necessary in subsequent figures.
Embodiments of the application are operational with numerous other general purpose or special purpose computing system environments or configurations. Examples of well known computing systems, environments, and/or configurations that may be suitable for use with the computer system/server include, but are not limited to: personal computer systems, server computer systems, thin clients, thick clients, hand-held or laptop devices, microprocessor-based systems, set-top boxes, programmable consumer electronics, network personal computers, small computer systems, mainframe computer systems, and distributed cloud computing technology environments that include any of the foregoing, and the like.
A computer system/server may be described in the general context of computer-system-executable instructions, such as program modules, being executed by a computer system. Generally, program modules may include routines, programs, objects, components, logic, data structures, etc., that perform particular tasks or implement particular abstract data types. The computer system/server may be implemented in a distributed cloud computing environment in which tasks are performed by remote processing devices that are linked through a communications network. In a distributed cloud computing environment, program modules may be located in both local and remote computing system storage media including memory storage devices.
The embodiment of the application provides a method for determining the operation rate, which is shown in fig. 1 and comprises the following steps:
101. and responding to a determining instruction of the current production process flow operation rate, and selecting a target operation rate determining rule from a plurality of preset operation rate determining rules.
The work rate, that is, the work rate in the unit time of the current production process flow, may be a daily work rate, a month work rate, a quarter work rate, a year work rate, or the like, or may be a full life cycle work rate, or may be a work rate of each production process in the full flow, or may be a work rate of a single production process, or may be a work rate of a single device, or the like. It will be appreciated that the entire process of the current production process flow from on-stream to off-stream shutdown without reproduction is referred to as a full life cycle, which includes commissioning, and normal production year, etc. In addition, the preset job rate determination rule may include the following job rate determination rule: a work rate determination rule having a production time as a work rate determination element, a work rate determination rule having a product yield as a work rate determination element, a work rate determination rule having a raw material throughput as a work rate determination element, and a work rate determination rule having a fluid throughput as a work rate determination element. In the embodiment of the present application, the current execution end may be a whole-process control unit of the factory system, and when a determination instruction for the current production process flow operation rate is received, the current execution end selects from the plurality of preset operation rate determination rules as the target operation rate determination rule. It should be noted that the target operation rate determination rules selected may be one or more, and when a plurality of target operation rates are selected, a plurality of results of the current production process operation rate can be obtained based on the target operation rate determination rules respectively, so as to perform transverse comparison and screening, and further improve the accuracy of the operation rate value.
102. And acquiring the operation rate determining elements required by the target operation rate determining rule based on the simulation model of the current production process flow.
The simulation model is used for dynamically simulating the production process of the current production process flow. In the embodiment of the application, the operation rate determining rule comprises a plurality of operation rate determining elements, and the operation rate under the operation rate determining rule can be obtained by calculating the operation rate determining elements corresponding to the operation rate determining rule based on the operation rate determining rule. The operation rate determining element obtained based on the simulation model is obtained on the basis of dynamic simulation of the production process, and is closer to the actual condition of the current production process flow, so that the accuracy of the operation rate value can be effectively improved.
103. And determining the operation rate of the current production process flow according to the operation rate determining element and the target operation rate determining rule.
In the embodiment of the present application, taking a year operation rate as an example, when the selected target operation rate determining rule is an operation rate determining rule that uses a production time as an operation rate determining element, the year operation rate=total annual production time/total annual time, and the unit of the determining element may be hours, minutes, seconds, etc., where the total factory operation rate is calculated integrally with the current production process flow, and the operation rates of the production branch line and the single device are calculated as branch lines; when the selected target operation rate determination rule is an operation rate determination rule having a product yield as an operation rate determination element, annual operation rate=annual yield of class a products/annual yield of class a products without stopping, and the unit of the determination element may be ton, kg, g, or the like; when the selected target operation rate determination rule is an operation rate determination rule having a raw material throughput as an operation rate determination element, the annual operation rate=annual raw material actual throughput/raw material annual throughput without stop, and the unit of the determination element may be ton, kg, g, or the like; when the selected target operation rate determination rule is an operation rate determination rule having a fluid handling capacity as an operation rate determination element, the annual operation rate=annual fluid actual handling capacity/annual fluid handling capacity without stop, and the unit of the determination element may be cubic meter, liter, milliliter, ton, kg, gram, or the like.
In the embodiment of the application, when the operation rate is determined, the whole process flow is simulated based on the material flow, wherein the material flow can be a whole solution, slurry and the like, and can also be a certain component or element in production.
Compared with the prior art, the embodiment of the application has the advantages that the simulation model of the production process flow is established to simulate the whole production process flow, and the operation rate of the current production process flow is determined based on the simulation model, so that the accuracy of the operation rate value is effectively improved; the purpose of determining the operation rate from multiple dimensions is achieved by setting multiple preset operation rate determining rules, and the accuracy of the operation rate value can be further improved by carrying out transverse comparison screening on the operation rates obtained from different dimensions.
The embodiment of the application provides another method for determining the operation rate, as shown in fig. 2, the method comprises the following steps:
201. and constructing a production simulation module corresponding to each production process according to the production parameters and the fault parameters of each production process.
In the embodiment of the application, the production procedure is used for representing various production links which are included in the production process flow, such as a certain production workshop, a certain production procedure, a certain production device and the like; the production parameters of the production process can comprise parameters such as processing capacity, material relation and the like of the production process; the fault parameters may include the frequency of occurrence of the fault, the time required to resolve the fault (i.e., maintenance time), etc. It should be noted that, the above-mentioned faults are unplanned fault stopping, that is, random faults, taking the production process flows of the PAL and the acid plant as an example, the random fault statistics table is shown in fig. 3, and in the production process flows of the PAL and the acid plant, the unplanned fault stopping is mainly caused by the random faults of the PAL equipment and the faults of the auxiliary system (such as power supply or steam supply faults).
Preferably, a production simulation module can be constructed based on the Agent intelligent Agent, and it is required to be explained that the Agent intelligent Agent can perform information interaction with the external environment autonomously, react to the external information, have certain knowledge and learning ability, and perform simulation by utilizing the active behaviors of the entities so as to obtain a simulation effect close to reality.
202. And constructing a simulation model of the current production process flow.
In the embodiment of the present application, the production simulation modules corresponding to the production procedures constructed in the step 201 of the embodiment are connected together (including serial connection, parallel connection and mixed connection) according to the process flow, so as to generate a multi-Agent system composed of a plurality of Agent agents, and the multi-Agent system is used as an initial simulation model to simulate the current production process flow through mutual coordination among the Agent agents. Furthermore, in order to make the simulation effect closer to the real state of the current production process flow, the initial simulation model may be optimized based on the overhaul parameters of the current production process flow, where the overhaul parameters are obtained based on the planned overhaul scheme of the current production process flow. It will be appreciated that during operation of the plant, production facilities are regularly serviced, for example PAL and acid plant production processes, autoclave facilities and MVR facilities are regularly serviced, which would result in a planned shutdown of the whole process. Illustratively, the overhaul plan is shown in fig. 4, wherein each PAL device is parked once for 6 months and maintained for 16 days, and the two PAL devices are overhauled in turn; the acid plant is overhauled for the first time after running for 20 months, and then is overhauled for a period of time every 24 months; the ammonium sulfate MVR equipment is shut down for 7 days of overhaul maintenance. When a certain PAL device is out of operation, the MVR device is arranged for overhauling and maintenance. Because the planned maintenance can cause the planned stop of the whole process, the planned maintenance is a main factor affecting the operation coefficient of the whole production process, and therefore, the simulation effect is further improved by optimizing the simulation model based on the planned maintenance.
Correspondingly, the embodiment step 202 specifically includes: connecting production simulation modules of all production procedures contained in the current production process flow to generate an initial simulation model of the current production process flow; and optimizing the initial simulation model based on the overhaul parameters of the current production process flow to obtain an optimized simulation model.
203. And constructing a production simulation module corresponding to the buffer procedure.
In the embodiment of the application, in order to reduce the occurrence of unplanned fault stopping, buffer procedures can be respectively arranged at a plurality of preset positions in the production process flow, and preferably, the preset positions can be between two adjacent production procedures, so that when one production procedure fails, the product of the previous production procedure can be temporarily stored in the buffer procedure between the previous production procedure and the current production procedure, and the subsequent production procedure can utilize materials stored in the buffer procedure between the current production procedure and the subsequent production procedure to carry out production without influencing the whole production process of the production process flow; in addition, when the current production process is out of order, the catch-up capability of the current production process can be utilized to run at a greater rate so that the front and rear buffer processes are restored to normal levels. Wherein, the buffer parameters of the buffer process are configured according to the production parameters and the fault parameters of the adjacent production processes.
Correspondingly, the embodiment step 203 specifically includes: respectively arranging buffer procedures at a plurality of preset positions in the current production process flow; and configuring the buffer parameters for the buffer process according to at least one production parameter and fault parameter of the production process adjacent to the buffer process, and obtaining the production simulation module corresponding to each buffer process.
204. And arranging a production simulation module corresponding to the buffer procedure.
In the embodiment of the present application, the production simulation module corresponding to the buffer procedure constructed in the embodiment step 203 is added to a preset position in the production process flow, so as to obtain a simulation model after secondary optimization.
Correspondingly, the embodiment step 204 specifically includes: and adding the production simulation modules corresponding to each buffer procedure to corresponding preset positions to finish secondary optimization processing of the optimized simulation model, thereby obtaining the simulation model after secondary optimization.
205. And carrying out three times of optimization treatment on the simulation model.
In the embodiment of the application, in order to quickly restore the whole production process to the normal state after the maintenance of the production process is finished, the catch-up coefficient (that is, the percentage of the production process to be executed exceeding the normal production level so as to restore the buffer amount of the preceding production process to the normal level after the production process is restored to the production) may be configured for each production process, so that the normal state is restored within the preset time period.
Specifically, the embodiment step 205 specifically includes: and configuring catch-up coefficients for production processes adjacent to the buffer processes according to the buffer parameters of each buffer process so as to obtain a simulation model after three times of optimization.
Based on this, embodiment step 102 specifically includes: and acquiring the operation rate determining elements required by the target operation rate determining rule based on the three-time optimized simulation model of the current production process flow.
The application provides a method for determining a working rate, which comprises the steps of firstly responding to a determining instruction of a current working rate, and selecting a target working rate determining rule from a plurality of preset working rate determining rules; secondly, acquiring operation rate determining elements required by the target operation rate determining rule based on a simulation model of the current production process flow; and finally, determining the operation rate of the current production process flow according to the operation rate determination element and the target operation rate determination rule. Compared with the prior art, the embodiment of the application has the advantages that the simulation model of the production process flow is established to simulate the whole production process flow, and the operation rate of the current production process flow is determined based on the simulation model, so that the accuracy of the operation rate value is effectively improved; the purpose of determining the operation rate from multiple dimensions is achieved by setting multiple preset operation rate determining rules, and the accuracy of the operation rate value can be further improved by carrying out transverse comparison screening on the operation rates obtained from different dimensions.
Further, as an implementation of the method shown in fig. 1, an embodiment of the present application provides a system for determining a work rate, as shown in fig. 5, where the system includes:
the selecting module 31, the acquiring module 32 and the determining module 33.
A selecting module 31, configured to select a target operation rate determining rule from a plurality of preset operation rate determining rules in response to a determining instruction of a current operation rate;
an acquisition module 32, configured to acquire a work rate determination element required by the target work rate determination rule based on a simulation model of the current production process flow;
a determining module 33, configured to determine a work rate of the current production process flow according to the work rate determining element and the target work rate determining rule.
Preferably, the system further comprises:
the connection module is used for connecting the production simulation modules of all production procedures included in the current production process flow to generate an initial simulation model of the current production process flow;
and the optimization module is used for optimizing the initial simulation model based on the overhaul parameters of the current production process flow to obtain an optimized simulation model.
Preferably, before the connecting module, the system further comprises:
and the construction module is used for constructing the production simulation module corresponding to each production procedure according to the production parameters and the fault parameters of each production procedure.
Preferably, the system further comprises:
the arrangement module is used for respectively arranging buffer procedures at a plurality of preset positions in the current production process flow;
the first configuration module is used for configuring the buffer parameters for the buffer processes according to at least one production parameter and fault parameter of the production process adjacent to the buffer processes, and obtaining production simulation modules corresponding to the buffer processes.
Preferably, the system further comprises:
and the adding module is used for adding the production simulation modules corresponding to the buffer procedures to the corresponding preset positions so as to finish the secondary optimization processing of the optimized simulation model and obtain a simulation model after secondary optimization.
Preferably, after the adding module, the system further includes:
the second configuration module is used for configuring catch-up coefficients for production processes adjacent to the buffer processes according to the buffer parameters of the buffer processes so as to obtain a simulation model after three times of optimization;
the acquisition module is specifically configured to:
and acquiring the operation rate determining elements required by the target operation rate determining rule based on the three-time optimized simulation model of the current production process flow.
Preferably, the preset operation rate determination rule includes at least one of an operation rate determination rule having a production time as an operation rate determination element, an operation rate determination rule having a product yield as an operation rate determination element, an operation rate determination rule having a raw material throughput as an operation rate determination element, and an operation rate determination rule having a fluid throughput as an operation rate determination element.
The application provides a system for determining a working rate, which is characterized in that firstly, a target working rate determining rule is selected from a plurality of preset working rate determining rules in response to a determining instruction of a current working rate; secondly, acquiring operation rate determining elements required by the target operation rate determining rule based on a simulation model of the current production process flow; and finally, determining the operation rate of the current production process flow according to the operation rate determination element and the target operation rate determination rule. Compared with the prior art, the embodiment of the application has the advantages that the simulation model of the production process flow is established to simulate the whole production process flow, and the operation rate of the current production process flow is determined based on the simulation model, so that the accuracy of the operation rate value is effectively improved; the purpose of determining the operation rate from multiple dimensions is achieved by setting multiple preset operation rate determining rules, and the accuracy of the operation rate value can be further improved by carrying out transverse comparison screening on the operation rates obtained from different dimensions.
According to an embodiment of the present application, there is provided a storage medium storing at least one executable instruction that can perform the method of determining a job rate in any of the above-described method embodiments.
Based on such understanding, the technical solution of the present application may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.), and includes several instructions for causing a computer device (may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective implementation scenario of the present application.
Fig. 6 is a schematic structural diagram of a terminal according to an embodiment of the present application, which is not limited to the specific implementation of the terminal.
As shown in fig. 6, the terminal may include: a processor 402, a communication interface (Communications Interface) 404, a memory 406, and a communication bus 408.
Wherein: processor 402, communication interface 404, and memory 406 communicate with each other via communication bus 408.
A communication interface 404 for communicating with network elements of other devices, such as clients or other servers.
Processor 402 is configured to execute program 410, and may specifically perform relevant steps in the above-described method embodiment for determining a job rate.
In particular, program 410 may include program code including computer-operating instructions.
The processor 402 may be a central processing unit CPU, or a specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement embodiments of the present application. The one or more processors included in the computer device may be the same type of processor, such as one or more CPUs; but may also be different types of processors such as one or more CPUs and one or more ASICs.
Memory 406 for storing programs 410. Memory 406 may comprise high-speed RAM memory or may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
Program 410 may be specifically operable to cause processor 402 to:
responding to a work rate determining instruction of the current production process flow, and selecting a target work rate determining rule from a plurality of preset work rate determining rules;
acquiring operation rate determining elements required by the target operation rate determining rule based on a simulation model of the current production process flow;
and determining the operation rate of the current production process flow according to the operation rate determination element and the target operation rate determination rule.
The storage medium may also include an operating system, a network communication module. The operating system is a program that manages the above-described determination of the job rates of the physical device hardware and software resources, supporting the execution of information processing programs, as well as other software and/or programs. The network communication module is used for realizing communication among all components in the storage medium and communication with other hardware and software in the information processing entity equipment.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different manner from other embodiments, so that the same or similar parts between the embodiments are mutually referred to. For system embodiments, the description is relatively simple as it essentially corresponds to method embodiments, and reference should be made to the description of method embodiments for relevant points.
The method and system of the present application may be implemented in a number of ways. For example, the methods and systems of the present application may be implemented by software, hardware, firmware, or any combination of software, hardware, firmware. The above-described sequence of steps for the method is for illustration only, and the steps of the method of the present application are not limited to the sequence specifically described above unless specifically stated otherwise. Furthermore, in some embodiments, the present application may also be embodied as programs recorded in a recording medium, the programs including machine-readable instructions for implementing the methods according to the present application. Thus, the present application also covers a recording medium storing a program for executing the method according to the present application.
It will be appreciated by those skilled in the art that the modules or steps of the application described above may be implemented in a general purpose computing device, they may be concentrated on a single computing device, or distributed across a network of computing devices, they may alternatively be implemented in program code executable by computing devices, so that they may be stored in a memory device for execution by computing devices, and in some cases, the steps shown or described may be performed in a different order than that shown or described, or they may be separately fabricated into individual integrated circuit modules, or multiple modules or steps within them may be fabricated into a single integrated circuit module for implementation. Thus, the present application is not limited to any specific combination of hardware and software.
The above description is only of the preferred embodiments of the present application and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (8)
1. A method of determining a work rate for use in a process industry, comprising:
in response to a job rate determination instruction of a current production process flow, selecting a target job rate determination rule from a plurality of preset job rate determination rules, wherein the preset job rate determination rules comprise at least one of a job rate determination rule with production time as a job rate determination element, a job rate determination rule with product yield as a job rate determination element, a job rate determination rule with raw material processing amount as a job rate determination element, and a job rate determination rule with fluid processing amount as a job rate determination element;
acquiring operation rate determining elements required by the target operation rate determining rule based on a simulation model of the current production process flow;
determining the operation rate of the current production process flow according to the operation rate determining element and the target operation rate determining rule;
before the operation rate determining element required by the target operation rate determining rule is obtained based on the simulation model of the current production process flow, the method further comprises:
respectively arranging buffer procedures at a plurality of preset positions in the current production process flow;
configuring buffer parameters for the buffer procedures according to at least one production parameter and fault parameter of a production procedure adjacent to the buffer procedures, and obtaining production simulation modules corresponding to the buffer procedures;
the operation rate determining element required by the target operation rate determining rule is obtained based on the simulation model of the current production process flow, and specifically comprises the following steps:
and acquiring the operation rate determining elements required by the target operation rate determining rule based on the three-time optimized simulation model of the current production process flow.
2. The method of claim 1, wherein prior to the obtaining the work rate determination element required by the target work rate determination rule based on the simulation model of the current production process flow, the method further comprises:
connecting production simulation modules of all production procedures included in the current production process flow to generate an initial simulation model of the current production process flow;
and optimizing the initial simulation model based on the overhaul parameters of the current production process flow to obtain an optimized simulation model.
3. The method according to claim 2, wherein before the connection processing is performed on the production simulation modules of the respective production processes included in the current production process flow to generate the initial simulation model of the current production process flow, the method further includes:
and constructing a production simulation module corresponding to each production procedure according to the production parameters and the fault parameters of each production procedure.
4. The method according to claim 1, wherein the method further comprises:
and adding the production simulation modules corresponding to the buffer procedures to corresponding preset positions to finish secondary optimization processing of the optimized simulation model, so as to obtain a simulation model after secondary optimization.
5. The method according to claim 4, wherein the adding the production simulation modules corresponding to the buffer processes to corresponding preset positions to complete the secondary optimization processing on the optimized simulation model, and after obtaining the secondary optimized simulation model, the method further comprises:
and configuring a catch-up coefficient for a production process adjacent to the buffer process according to the buffer parameters of each buffer process to obtain a simulation model after three optimization, wherein the catch-up coefficient is used for representing the percentage ratio of the production process to be executed exceeding the normal production level so as to restore the buffer quantity of the former production process to the normal level after the production process is restored to production.
6. A system for determining a work rate, comprising:
a selecting module, configured to respond to a determining instruction of a working rate of a current production process, and select a target working rate determining rule from a plurality of preset working rate determining rules, where the preset working rate determining rules include at least one of a working rate determining rule with production time as a working rate determining element, a working rate determining rule with product yield as a working rate determining element, a working rate determining rule with raw material processing amount as a working rate determining element, and a working rate determining rule with fluid processing amount as a working rate determining element;
the acquisition module is used for acquiring the operation rate determination elements required by the target operation rate determination rule based on the simulation model of the current production process flow;
the determining module is used for determining the operation rate of the current production process flow according to the operation rate determining element and the target operation rate determining rule;
before the obtaining module, the system further includes:
the arrangement module is used for respectively arranging buffer procedures at a plurality of preset positions in the current production process flow;
the first configuration module is used for configuring buffer parameters for the buffer procedures according to at least one production parameter and fault parameter of the production procedure adjacent to the buffer procedures to obtain production simulation modules corresponding to the buffer procedures;
the acquisition module is specifically configured to:
and acquiring the operation rate determining elements required by the target operation rate determining rule based on the three-time optimized simulation model of the current production process flow.
7. A storage medium having stored therein at least one executable instruction for causing a processor to perform operations corresponding to the method of determining a job rate according to any one of claims 1-5.
8. A terminal, comprising: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus;
the memory is configured to store at least one executable instruction, where the executable instruction causes the processor to perform operations corresponding to the method for determining a job rate according to any one of claims 1-5.
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