CN117555309B - Multi-way switch control optimization method and system - Google Patents
Multi-way switch control optimization method and system Download PDFInfo
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Abstract
The invention provides a multi-way switch control optimization method and a system, which relate to the technical field of production equipment control and comprise the following steps: obtaining production equipment composition information of a target production workshop; obtaining a plurality of production lines; calling the association orders of the production equipment to obtain a plurality of groups of association orders of the equipment; m independent relays are preconfigured for M production devices; generating a plurality of groups of relay operation coding sequences according to the plurality of groups of equipment association sequences and the M independent relays; receiving real-time production requirements, and mapping and calling in a plurality of groups of relay operation coding sequences to obtain a target relay coding sequence; and (3) performing switch control optimization on M production devices according to the target relay coding sequence to generate a target production line. The invention solves the technical problems that the prior art has more manual intervention for controlling multiple production devices, and the automatic management of the starting of the multiple devices of the production line cannot be realized, so that the flexibility and the production efficiency of the production system are low.
Description
Technical Field
The invention relates to the technical field of production equipment control, in particular to a multi-way switch control optimization method and system.
Background
At present, the CPLD is used as an integrated functional module for centralized management of production equipment operation control based on the CPLD and the relay, but the production equipment operation control is dependent on manual operation, and manual intervention and scheduling are needed, so that the starting and control management of a plurality of equipment in an automatic production line are lacking, the response to real-time production requirements is relatively difficult, the market change cannot be quickly adapted, the production efficiency is low, and the production flexibility is poor.
Disclosure of Invention
The application aims at solving the technical problems that the prior art has more manual intervention for controlling multiple production devices, and the automatic management of the starting of the multiple devices of the production line cannot be realized, so that the flexibility and the production efficiency of a production system are low.
In view of the above problems, the present application provides a method and a system for optimizing control of multiple switches.
In a first aspect of the present disclosure, a method for optimizing control of multiple switches is provided, the method including: interactively obtaining production equipment composition information of a target production workshop, wherein the production equipment composition information comprises M production equipment, and M is a positive integer; a plurality of production lines of the target production workshop are obtained in an interactive mode, wherein the production lines adopt a plurality of production product identifiers, each production line comprises K production devices, and K is a positive integer less than or equal to M; carrying out production equipment association order calling based on the plurality of production lines to obtain a plurality of groups of equipment association orders; pre-configuring M independent relays for the M production devices, wherein the M independent relays are provided with M relay codes; generating a plurality of groups of relay operation coding sequences according to the plurality of groups of equipment association sequences and the M independent relays; receiving a real-time production demand sent by a user side, and mapping and calling in the multiple groups of relay operation coding sequences according to the real-time production demand to obtain a target relay coding sequence; and performing switch control optimization on the M production devices according to the target relay coding sequence to generate a target production line.
In another aspect of the present disclosure, there is provided a multi-way switch control optimization system for use in the above method, the system comprising: the system comprises a composition information acquisition module, a control module and a control module, wherein the composition information acquisition module is used for interactively acquiring production equipment composition information of a target production workshop, the production equipment composition information comprises M production equipment, and M is a positive integer; the production line acquisition module is used for interactively acquiring a plurality of production lines of the target production workshop, wherein the production lines adopt a plurality of production product identifiers, each production line comprises K production devices, and K is a positive integer less than or equal to M; the association order calling module is used for calling the association orders of the production equipment based on the production lines to obtain a plurality of groups of equipment association orders; the relay configuration module is used for pre-configuring M independent relays for the M production devices, wherein the M independent relays are provided with M relay codes; the multi-group sequence generation module is used for generating a multi-group relay operation coding sequence according to the multi-group equipment association sequence and the M independent relays; the target sequence calling module is used for receiving real-time production requirements sent by a user side, and mapping and calling the real-time production requirements in the plurality of groups of relay operation coding sequences to obtain target relay coding sequences; and the switch control optimization module is used for carrying out switch control optimization on the M production devices according to the target relay coding sequence to generate a target production line.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the starting and running sequence of the equipment can be optimized, the production dead time can be reduced to the greatest extent, and the equipment utilization rate can be improved by calling the relevant sequences of a plurality of production lines and generating the relay running coding sequence; the flexible response to the real-time production demand is realized by receiving the real-time production demand sent by the user side and mapping and calling the target relay coding sequence, so that the production system has stronger adaptability and can cope with the continuously-changing market demand; the switch control optimization is performed through the target relay coding sequence, so that the fine management of production equipment is realized, the resource waste is reduced, and the production benefit is improved. In comprehensive terms, the multi-path switch control optimization method optimizes the switch control flow of the production workshop by comprehensively considering factors such as equipment association sequence, real-time requirements, equipment stability and the like, so that the production efficiency and the resource utilization rate are improved, and the production system is more flexible and reliable.
The foregoing description is only an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.
Drawings
Fig. 1 is a schematic flow chart of a multi-way switch control optimization method provided in the embodiment of the application;
fig. 2 is a schematic structural diagram of a multi-path switch control optimization system according to an embodiment of the present application.
Reference numerals illustrate: the system comprises an information acquisition module 10, a production line acquisition module 20, an association sequence calling module 30, a relay configuration module 40, a multi-group sequence generation module 50, a target sequence calling module 60 and a switch control optimization module 70.
Detailed Description
According to the multi-way switch control optimization method, the technical problems that in the prior art, manual intervention for controlling multiple production devices is more, starting automatic management of multiple devices on a production line cannot be achieved, and flexibility and production efficiency of a production system are low are solved.
Having described the basic principles of the present application, various non-limiting embodiments of the present application will now be described in detail with reference to the accompanying drawings.
Example 1
As shown in fig. 1, an embodiment of the present application provides a method for optimizing control of multiple switches, where the method includes:
interactively obtaining production equipment composition information of a target production workshop, wherein the production equipment composition information comprises M production equipment, and M is a positive integer;
The method comprises the steps of interacting with a user or related management personnel through a graphical user interface, obtaining information requirements about a target production workshop, confirming the target production workshop, and determining the range needing to be optimized and controlled, wherein the range comprises information such as names, positions and production scales of the workshops. The configuration information of the production equipment, including equipment name, model number, technical parameters, production capacity, etc., is acquired through an equipment management system, production planning system, or other related databases connected to the target production plant. M production devices are selected from the obtained device constitution information, wherein M is a positive integer representing the number of production devices to be optimized and controlled by the system, and M can be determined based on factors such as importance of the devices, productivity, technical level and the like.
A plurality of production lines of the target production workshop are obtained in an interactive mode, wherein the production lines adopt a plurality of production product identifiers, each production line comprises K production devices, and K is a positive integer less than or equal to M;
by connecting to a line management system or a related database, a plurality of line information of the target production plant is obtained, and each line is provided with a unique identifier, which can be a product model number, a batch number or other identification modes, so as to ensure that the system can identify different products. For each production line, the number of production equipment contained therein is obtained, the number being denoted by K, and K being a positive integer less than or equal to M determined in the preceding step, thereby ensuring that each production line has sufficient equipment to complete the production task.
Carrying out production equipment association order calling based on the plurality of production lines to obtain a plurality of groups of equipment association orders;
further, performing a production equipment association order call based on the plurality of production lines to obtain a plurality of groups of equipment association orders, and before the step of obtaining the plurality of groups of equipment association orders, further includes:
obtaining a first production line based on the plurality of production line calls, wherein the first production line comprises K production devices;
the method comprises the steps of interacting historical production logs, generating search instructions based on first production product identifiers of a first production line, traversing the historical production logs to obtain first production logs, wherein the first production logs comprise a plurality of groups of equipment activation duration information;
performing data disassembly on the multi-group equipment activation time length information based on the K production equipment to obtain K groups of equipment activation time length-equipment use time length;
pre-constructing an activation time length predictor, and synchronizing the K groups of equipment activation time length-equipment use time length to the activation time length predictor to obtain K equipment activation prediction time lengths;
the K device activation prediction durations form a first activation duration prediction group;
and so on, obtaining a plurality of active duration prediction groups of the plurality of production lines.
From the resulting plurality of production lines, one production line is randomly selected as a target, as a first production line, which includes K production devices.
The historical production log is invoked by connecting to a production data storage system, database, etc. An identification of the first product is obtained from the first production line, which may be a product model number, a lot number, or other unique identifier. Based on the obtained first product identification, a search instruction is generated, wherein the search instruction is used for searching records containing the first product information in the historical production log.
The history production log is traversed using the generated search instructions to find a record containing the first production product information. Once a record containing the first product information is found, the record is stored as a first product log that includes multiple sets of device activation duration information, i.e., activation duration records for each device when producing the first product.
Analyzing the activation time length information of each device by using the acquired multiple groups of device activation time length information in the first production log to acquire the activation time length and the use time length of each device, performing data disassembly on the multiple groups of device activation time length information, organizing the disassembled data into K groups of device activation time length-device use time length, wherein each group comprises the activation time length and the use time length of one device, and the information can be arranged in time sequence.
Based on Lagrange formula, constructing and training an activation time length predictor, so that the activation time length predictor can predict the activation time length of the equipment according to the historical data, synchronizing the obtained K groups of equipment activation time length-equipment use time length information to the pre-constructed activation time length predictor, and predicting the activation time length of each equipment by using the trained activation time length predictor to obtain K equipment activation prediction time lengths, wherein the prediction time lengths represent the predicted activation time lengths of each equipment in the future production process.
And forming the obtained K device activation prediction durations into a first activation duration prediction group, wherein the prediction group comprises the activation prediction duration of each device on the first production line. Similarly, the same steps are performed on a plurality of production lines, and for each production line, the corresponding K device activation prediction durations are grouped into one activation duration prediction group, so that a plurality of activation duration prediction groups are obtained, each group corresponding to one production line.
Further, pre-constructing an activation duration predictor, synchronizing the activation duration-device use duration of the K groups of devices to the activation duration predictor, and obtaining K device activation predicted durations, and further including:
Pre-constructing an activation time limit calculation function, wherein the activation time limit calculation function is as follows:
wherein,predicted duration for device activation, +.>To->Is the device of a plurality of previous use periods is used for a long time,/for a long time>To->Is a plurality of device activation durations;
constructing an activation time length analysis layer based on the activation time limit calculation function, and adapting an original data input layer and an analysis result output layer to the activation time length analysis layer to complete the construction of the activation time length predictor;
synchronizing the K groups of equipment activation time length-equipment use time length to the activation time length predictor to obtain K pieces of equipment activation prediction time lengths;
carrying out production process flow calling according to the first production line to obtain a first equipment process flow;
optimizing the equipment activation sequence of the first equipment process flow according to the K equipment activation prediction time lengths to obtain a first group of equipment association sequence;
and similarly, carrying out production process flow calling based on the plurality of production lines to obtain a plurality of equipment process flows, and carrying out equipment activation sequence optimization on the plurality of equipment process flows according to the plurality of activation duration prediction groups to obtain the plurality of groups of equipment association sequences.
The activation time limit calculation function takes the form of a lagrangian interpolation for calculating the activation time limit of the device, which is a method for estimating the value of the function at a series of points, in this embodiment interpolation is used to estimate the activation time limit of the device, based on the device usage time period of a number of previous usage periods. Specifically, L is a predicted activation time length of the device, and represents a predicted activation time length of the device in a current production period; t is the device usage time of the current usage period,to->Time periods for use of the device for a number of previous use periods, which are used to calculate weights for the Lagrange interpolation, each +.>The equipment corresponding to a previous use period is long in use time; />To->For a number of device activation durations, this represents the time taken for the device to actually activate during the previous use period.
The main purpose of the function is to estimate the activation time limit of the device in the current period according to the device use time length in the previous period through Lagrange interpolation, the weight of the Lagrange interpolation is determined by the device use time length in the previous period, each item corresponds to a data point in the previous period, and the calculation method can be used for better adapting to the change of the activation time limit of the device in consideration of the history condition of the previous use.
The activation time length analysis layer is constructed by using the activation time limit calculation function, the purpose of the layer is to analyze and predict the activation time length of the equipment through the historical data and the calculation function, the original data input layer and the activation time length analysis layer are adapted, namely, the historical production data including equipment use time length, activation time length and the like are input into the activation time length analysis layer so as to perform analysis and training, the activation time length analysis layer and the analysis result output layer are adapted, and the predicted equipment activation time length result is output from the activation time length analysis layer so as to be used later. The activation time length analysis layer, the original data input layer and the analysis result output layer are used for completing the construction of an activation time length predictor, and the predictor can predict and analyze the activation time length of the equipment according to historical data and a calculation function.
And synchronizing the acquired K groups of equipment activation time length-equipment use time length to an activation time length predictor, and predicting the activation time length of each equipment by using the trained activation time length predictor to acquire K equipment activation prediction time lengths.
And calling a corresponding production process flow according to the information of the first production line, and extracting information related to the first equipment from the production process flow, namely the first equipment process flow.
According to the obtained K equipment activation prediction time periods, the first equipment process flow is adjusted, the activation sequence of the equipment is optimized, so that the activation time of the equipment is more consistent with the predicted activation time period, the production efficiency is improved, according to the adjusted first equipment process flow, a first group of equipment association sequences optimized by the equipment activation sequence are obtained, and the sequences indicate when each equipment should be activated on the first production line so as to maximally accord with the activation prediction time period.
And similarly to the association sequence of the first group of equipment, acquiring information of all the multiple production lines, respectively calling the production process flow of each production line, and determining the equipment operation starting sequence according to the activation time length of the steady-state operation of the equipment on the basis of the operation sequence of the known equipment in the process flow so as to ensure that the activation time of the equipment is more consistent with the predicted activation time length and improve the overall production efficiency.
Pre-configuring M independent relays for the M production devices, wherein the M independent relays are provided with M relay codes;
a production control CPLD (Complex Programmable Logic Device, a programmable logic device for controlling and coordinating the operation of individual relays) is preconfigured, the CPLD comprising a communication interface, input pins and M output pins.
Each production facility is pre-configured with a separate relay, the number of which is the same as the M production facilities, each relay having a unique relay code for identifying and distinguishing between the different relays. And M output pins are connected to the control ends of corresponding M independent relays, so that each relay can be controlled through the CPLD.
And according to the association mapping of the multiple production lines and the multiple groups of relay operation coding sequences, performing identification processing of the multiple groups of relay operation coding sequences by adopting multiple production product identifications, and synchronizing the multiple groups of relay operation coding sequences after the identification processing to an external memory so that the information can be accessed and used in the subsequent steps.
Through the step, the system is provided with an independent relay for each production device, and corresponding relay codes are preset, so that a foundation is provided for relay control in the subsequent step.
Further, M independent relays are preconfigured for the M production devices, wherein the M independent relays have M relay codes, and the method further comprises:
the method comprises the steps of pre-configuring a production control CPLD, wherein the production control CPLD comprises a communication interface, an input pin and M output pins;
Connecting the M output pins to control ends of the M independent relays, wherein the M output pins are configured with M timer modules;
pre-configuring an external memory, wherein the external memory is connected with the communication interface, and the communication interface is connected to the production control CPLD based on the input pin;
and carrying out identification processing on the plurality of groups of relay operation code sequences by adopting the plurality of production product identifications according to the association mapping of the plurality of production lines and the plurality of groups of relay operation code sequences, and synchronizing the plurality of groups of relay operation code sequences subjected to the identification processing to the external memory.
Selecting an appropriate type of programmable logic device (CPLD) to meet system requirements includes selecting a CPLD with sufficient input-output pins, communication interfaces, etc., according to the specific requirements of the manufacturing plant. Communication interfaces, such as an RS422 communication interface, are preconfigured in CPLDs, and the RS422 communication interface is generally used for reliable long-distance communication in an industrial environment. The input pins of the CPLD are configured to receive various input signals from the production plant, including information on the status of the production equipment, sensor feedback, etc. M output pins of the CPLD are configured to control multiple switches in a production plant, each output pin being connectable to a separate relay for controlling a particular production facility.
M output pins in the production control CPLD are respectively connected to control ends of M independent relays, the independent relays correspond to M production devices in a production workshop, and control of each device is achieved through the output pins of the CPLD. And configuring a timer module on each output pin, wherein the timer module is used for measuring the activation time of the equipment, and controlling the operation time of the relay through a timer to ensure that the equipment is started or closed within a specified time.
The control end of each independent relay is connected with the control end of corresponding equipment, so that the CPLD is ensured to realize the switch control of the production equipment through a relay control signal; the external timer module is configured to ensure accurate measurement and control of the device activation duration, which involves setting the clock frequency, timing range, etc. parameters of the timer. The configuration of the M output pins is completed, including connection to a relay and configuration timer module, which prepares it to receive control signals of the CPLD and to effect switch control of the production equipment.
The appropriate type of external memory is selected to meet the system requirements, including non-volatile memory, such as flash memory, or other types of memory, depending on the data storage and read requirements of the system. The external memory is preconfigured to connect with the communication interface of the production control CPLD, which ensures that the CPLD can exchange data with the external memory, including reading historical production logs, storing configuration information, etc.
The communication interface is connected to the production control CPLD through an input pin, and a data communication protocol of the communication interface is configured to ensure that information exchange between the CPLD and an external memory is accurate and reliable, and the external memory is pre-configured, so that the communication interface can communicate with the CPLD, and reading and storing of information such as historical production logs and the like are realized.
And performing association mapping on the plurality of production lines and the plurality of groups of relay operation coding sequences, wherein the association mapping comprises determining the corresponding relation between each relay operation coding and the specific production line and product identification. The multiple sets of relay operation code sequences are identified by utilizing multiple production product identifications, including associating corresponding production product identifications for each relay operation code, so that different production situations can be identified and distinguished according to the product identifications in subsequent operations. And synchronizing the plurality of groups of relay operation coding sequences subjected to identification processing to an external memory, so that relay operation coding information related to a production workshop is ensured to be stored in the external memory, and reference and analysis are performed in production control operation, thus providing preparation for subsequent production demand mapping and equipment activation optimization.
Generating a plurality of groups of relay operation coding sequences according to the plurality of groups of equipment association sequences and the M independent relays;
And (3) arranging the obtained multiple groups of equipment association sequences into a data structure which can be understood and operated by a system. This may be in the form of a matrix, list, etc. containing information about the order of association between the devices. A relay code, which may be a number or other identifier, is assigned to each individual relay corresponding to the production facility for identifying the particular relay in the code sequence. And generating a plurality of groups of relay operation coding sequences according to the equipment association sequence and the relay codes, wherein the coding sequences reflect the equipment activation and operation sequence and the relay codes related to the equipment activation and operation sequence, and the relay codes are used for mapping real-time production requirements in the subsequent steps, so that the accurate control of the target relay is realized.
Receiving a real-time production demand sent by a user side, and mapping and calling in the multiple groups of relay operation coding sequences according to the real-time production demand to obtain a target relay coding sequence;
the real-time production requirements sent by the user terminal are received through a communication interface or other modes, and the requirements of the user on the aspects of production quantity, production rate, product type and the like are included. And carrying out mapping call according to the received real-time production requirements and the multiple groups of relay operation coding sequences, namely mapping the real-time production requirements into corresponding equipment activation and relay operation coding sequences to determine which relays need to be activated so as to meet the real-time requirements. After the mapping call is successful, a target relay coding sequence is obtained, and the sequence represents the sequence of relays which need to be activated under the current real-time production requirement.
Further, receiving a real-time production demand sent by a user terminal, and mapping and calling in the multiple groups of relay operation coding sequences according to the real-time production demand to obtain a target relay coding sequence, wherein the method further comprises the following steps:
the external memory receives the real-time production demand;
carrying out product analysis on the real-time production requirement to obtain a target production product;
and traversing the plurality of production product identifiers by adopting the target production product to obtain a target relay coding sequence.
The external memory receives real-time production demands through a communication interface thereof, and comprises information such as products, quantity, priority and the like which are required to be produced currently in a production workshop.
Product related information is extracted from the received real-time production requirements, including the type, specification, quantity, etc. of the product to be produced. The information extracted from the real-time production needs is analyzed to determine the target production product, for example, against a known product database or production plan to ensure that the desired product information is valid and executable. Based on the results of the product analysis, the target product that is actually required to be produced is determined, and the target product may be a specific product model, specification or other specific requirements.
And traversing a plurality of production product identifiers by adopting the obtained target production product, wherein the identifiers are associated with a pre-configured relay operation coding sequence, and each production product identifier corresponds to one relay coding sequence. In the traversing process, matching the target production product information with the production product identification to find the production product identification associated with the target production product, and acquiring a corresponding target relay coding sequence from a pre-configured relay operation coding sequence when the production product identification matched with the target production product is found.
And performing switch control optimization on the M production devices according to the target relay coding sequence to generate a target production line.
And controlling an internal logic circuit in the production control CPLD according to the target relay coding sequence, and mapping the relay codes to a plurality of target output pins and a plurality of target timer modules. And optimizing the equipment activation sequence of the M production equipment based on the target relay coding sequence, wherein the equipment activation sequence is adjusted to be the optimal sequence so as to meet the real-time production requirement. By optimizing the on-off control of the M production devices, a target production line is generated, and the configuration and operation of this target production line have been adjusted according to real-time requirements and device activation optimization to maximize production efficiency.
Through the steps, the system successfully performs on-off control optimization on M production devices according to the real-time production requirements of the user side and the previously generated multiple groups of relay operation coding sequences, and finally generates a target production line so as to meet the real-time production requirements and improve the production efficiency.
Further, the method performs on-off control optimization on the M production devices according to the target relay coding sequence, and generates a target production line, and further includes:
disassembling production equipment based on the target relay coding sequence to obtain a plurality of groups of relay coding-equipment activation nodes;
the external memory synchronizing the plurality of sets of relay code-device activation nodes to the production control CPLD based on the communication interface;
mapping the plurality of sets of relay code-device activation nodes to a plurality of target output pins and a plurality of target timer modules based on internal logic circuitry in the production control CPLD;
and controlling the plurality of target output pins to conduct on-off control of the plurality of target relays based on the plurality of target timer modules.
And extracting relay codes which need to be controlled and optimized from the obtained target relay code sequence, analyzing each target relay code to determine which production equipment in the production workshop corresponds to each target relay code, wherein the analysis can map each relay code to corresponding production equipment based on a pre-established mapping relation. For each relay code, the device activation node associated therewith is determined, including the identifier, location, etc. of the device, so that the system determines which device corresponds to the given relay code. Combining the above information to form a plurality of groups of relay code-equipment activation nodes, wherein each group comprises a relay code and corresponding equipment activation node information.
The external memory reads the information of the plurality of groups of relay code-equipment activation nodes obtained before, and corresponding data is transmitted to the production control CPLD through the communication interface.
In the production control CPLD, its internal logic uses a previously synchronized plurality of sets of relay codes-device activation node information, from which the logic maps each relay code to a corresponding target output pin and target timer module. The logic circuit configures a target output pin to realize on-off control of the relay, and comprises the steps of configuring the state of the pin to be matched with the activation state of corresponding equipment; the target timer module is configured to realize timing control of the equipment activation duration, and the timing control comprises setting parameters such as starting time and timing interval of a timer.
And starting a plurality of configured target timer modules, wherein each timer module is associated with one relay and is responsible for controlling the activation time length of corresponding equipment, starting timing by the target timer module, triggering corresponding target output pins according to preset timing parameters when the timer reaches the set activation time length, and leading the output pins associated with the relay to switch states, so that the on-off control of the relay is realized, and updating the state of the corresponding relay according to the state change of the target output pins, for example, if the output pins become the activation state, the corresponding relay is closed, and the equipment is activated.
Further, the method further comprises the following steps:
presetting a switch response monitoring window, and monitoring switch response time lengths of the M production devices based on the switch response monitoring window to obtain M groups of switch response time length information;
pre-constructing a response stability function, wherein the response stability function is as follows:
wherein R is the equipment stability index,for the single device response duration weight, +.>The response time length of the single equipment is;
substituting the M groups of switch response time length information into the response stability function one by one to obtain M equipment stability indexes;
presetting an equipment maintenance threshold, and traversing the M equipment stability indexes by adopting the equipment maintenance threshold to obtain equipment to be maintained;
and carrying out maintenance before failure on the equipment to be maintained.
A switch response monitoring window is preset, wherein the monitoring window is a time period and is used for recording the switch response condition of production equipment, and the size of the window can be determined by factors such as the design requirement of a system and the characteristics of a production workshop. And in a preset monitoring window, the on-off states of the M production devices are monitored in real time through a sensor, a device interface and the like. When the on-off state of the production device changes, for example, from off to on, or from on to off, the corresponding time stamp and state information are recorded within the monitoring window.
Based on the recorded switch state changes, a switch response time period of each production device in the monitoring window is calculated, wherein the switch response time period refers to the time that the device changes from one state to the other state. M groups of information are formed for the switch response time calculated by each production device, and each group of information comprises the switch response time of the corresponding device in the monitoring window.
For the response stability function, each device response durationIs given a weight in the calculation>Weights represent the relative importance of the corresponding response durations, and these weights may be determined based on a priori knowledge, historical data analysis, and the like.
Wherein the single device response durationRefers to the response time of the production equipment in one switching cycle, which is the time that the switching state takes from off to on or from on to off; />Representing response time duration for all devicesWhere i is a device index from 1 to n, this sum being used to consider the contribution of the response durations of all devices to overall stability; mapping the weighted sum to +.>In the range of (2), this design is because the cosine function is +.>The range is monotonically decreasing such that an increase in the device response time period results in a decrease in the stability index.
Through the function, the system can comprehensively consider the response time of each device, and the contribution of each response time is adjusted through the weight to obtain a comprehensive device stability index R, wherein the closer the index is to 1, the better the stability of the device is.
Substituting the obtained M groups of switch response time length information into the response stability function one by one, substituting the response time length information into the function for calculation to obtain the stability index of each device, and calculating to obtain the stability indexes of M devices according to substituting different switch response time length information, wherein the indexes reflect the stability level of each device under the condition of considering the switch response time length.
A device maintenance threshold is preset and may be determined based on historical data of the device, manufacturer recommendations, operational experience, and the like. Traversing each equipment stability index, judging whether the stability index of each equipment is lower than an equipment maintenance threshold value, if so, considering that the equipment needs maintenance, and adding the equipment needing maintenance into a to-be-maintained equipment list, wherein the equipment in the list is considered to need maintenance under the current stability evaluation.
And acquiring equipment information to be maintained from the acquired equipment list to be maintained, and executing maintenance before failure for each equipment to be maintained, wherein the maintenance before failure refers to preventive maintenance measures according to equipment with low stability index and potential problems before the equipment is actually failed so as to prevent the equipment from failure in the production process. For example, the equipment is inspected and cleaned regularly to ensure that the surface and the interior of the equipment are free of dust, sundries and the like; according to the advice or history data of the equipment manufacturer, replacing parts which are possibly worn so as to prolong the service life of the equipment; lubrication of moving parts of the apparatus, ensuring normal operation thereof, and the like. Through maintenance operation before the fault, the risk of the fault of the equipment can be reduced, and the stability and reliability of the equipment are improved, so that the smooth proceeding of the production process is ensured.
In summary, the method and system for optimizing multi-path switch control provided by the embodiment of the application have the following technical effects:
1. the starting and running sequence of the equipment can be optimized, the production dead time can be reduced to the greatest extent, and the equipment utilization rate can be improved by calling the relevant sequences of a plurality of production lines and generating the relay running coding sequence;
2. The flexible response to the real-time production demand is realized by receiving the real-time production demand sent by the user side and mapping and calling the target relay coding sequence, so that the production system has stronger adaptability and can cope with the continuously-changing market demand;
3. the switch control optimization is performed through the target relay coding sequence, so that the fine management of production equipment is realized, the resource waste is reduced, and the production benefit is improved.
In comprehensive terms, the multi-path switch control optimization method optimizes the switch control flow of the production workshop by comprehensively considering factors such as equipment association sequence, real-time requirements, equipment stability and the like, so that the production efficiency and the resource utilization rate are improved, and the production system is more flexible and reliable.
Example two
Based on the same inventive concept as the multi-way switch control optimization method in the foregoing embodiment, as shown in fig. 2, the present application provides a multi-way switch control optimization system, which includes:
a composition information acquisition module 10, where the composition information acquisition module 10 is configured to interactively obtain production equipment composition information of a target production plant, where the production equipment composition information includes M production equipment, and M is a positive integer;
The production line acquisition module 20 is configured to interactively acquire a plurality of production lines of the target production plant, where the plurality of production lines adopt a plurality of production product identifiers, each production line includes K production devices, and K is a positive integer less than or equal to M;
the association order calling module 30 is used for calling the association order of the production equipment based on the plurality of production lines, and obtaining a plurality of groups of equipment association orders;
a relay configuration module 40, wherein the relay configuration module 40 is configured to pre-configure M independent relays for the M production devices, and the M independent relays have M relay codes;
the multi-group sequence generation module 50 is used for generating a multi-group relay operation coding sequence according to the multi-group equipment association sequence and the M independent relays;
the target sequence calling module 60 is used for receiving real-time production requirements sent by a user side, and mapping and calling the real-time production requirements in the plurality of groups of relay operation coding sequences to obtain target relay coding sequences;
the switch control optimizing module 70 is configured to perform switch control optimization on the M production devices according to the target relay coding sequence, so as to generate a target production line.
Further, the system also comprises an activation time length prediction group acquisition module for executing the following operation steps:
obtaining a first production line based on the plurality of production line calls, wherein the first production line comprises K production devices;
the method comprises the steps of interacting historical production logs, generating search instructions based on first production product identifiers of a first production line, traversing the historical production logs to obtain first production logs, wherein the first production logs comprise a plurality of groups of equipment activation duration information;
performing data disassembly on the multi-group equipment activation time length information based on the K production equipment to obtain K groups of equipment activation time length-equipment use time length;
pre-constructing an activation time length predictor, and synchronizing the K groups of equipment activation time length-equipment use time length to the activation time length predictor to obtain K equipment activation prediction time lengths;
the K device activation prediction durations form a first activation duration prediction group;
and so on, obtaining a plurality of active duration prediction groups of the plurality of production lines.
Further, the system also comprises a device association order acquisition module to execute the following operation steps:
pre-constructing an activation time limit calculation function, wherein the activation time limit calculation function is as follows:
Wherein,predicted duration for device activation, +.>To->Is the device of a plurality of previous use periods is used for a long time,/for a long time>To->Is a plurality of device activation durations;
constructing an activation time length analysis layer based on the activation time limit calculation function, and adapting an original data input layer and an analysis result output layer to the activation time length analysis layer to complete the construction of the activation time length predictor;
synchronizing the K groups of equipment activation time length-equipment use time length to the activation time length predictor to obtain K pieces of equipment activation prediction time lengths;
carrying out production process flow calling according to the first production line to obtain a first equipment process flow;
optimizing the equipment activation sequence of the first equipment process flow according to the K equipment activation prediction time lengths to obtain a first group of equipment association sequence;
and similarly, carrying out production process flow calling based on the plurality of production lines to obtain a plurality of equipment process flows, and carrying out equipment activation sequence optimization on the plurality of equipment process flows according to the plurality of activation duration prediction groups to obtain the plurality of groups of equipment association sequences.
Further, the system also comprises a code sequence synchronization module for executing the following operation steps:
The method comprises the steps of pre-configuring a production control CPLD, wherein the production control CPLD comprises a communication interface, an input pin and M output pins;
connecting the M output pins to control ends of the M independent relays, wherein the M output pins are configured with M timer modules;
pre-configuring an external memory, wherein the external memory is connected with the communication interface, and the communication interface is connected to the production control CPLD based on the input pin;
and carrying out identification processing on the plurality of groups of relay operation code sequences by adopting the plurality of production product identifications according to the association mapping of the plurality of production lines and the plurality of groups of relay operation code sequences, and synchronizing the plurality of groups of relay operation code sequences subjected to the identification processing to the external memory.
Further, the system further comprises a target coding sequence acquisition module, so as to execute the following operation steps:
the external memory receives the real-time production demand;
carrying out product analysis on the real-time production requirement to obtain a target production product;
and traversing the plurality of production product identifiers by adopting the target production product to obtain a target relay coding sequence.
Further, the system also comprises an on-off control module for executing the following operation steps:
disassembling production equipment based on the target relay coding sequence to obtain a plurality of groups of relay coding-equipment activation nodes;
the external memory synchronizing the plurality of sets of relay code-device activation nodes to the production control CPLD based on the communication interface;
mapping the plurality of sets of relay code-device activation nodes to a plurality of target output pins and a plurality of target timer modules based on internal logic circuitry in the production control CPLD;
and controlling the plurality of target output pins to conduct on-off control of the plurality of target relays based on the plurality of target timer modules.
Further, the system also comprises a maintenance operation module for executing the following operation steps:
presetting a switch response monitoring window, and monitoring switch response time lengths of the M production devices based on the switch response monitoring window to obtain M groups of switch response time length information;
pre-constructing a response stability function, wherein the response stability function is as follows:
wherein R is the equipment stability index,for the single device response duration weight, +. >The response time length of the single equipment is;
substituting the M groups of switch response time length information into the response stability function one by one to obtain M equipment stability indexes;
presetting an equipment maintenance threshold, and traversing the M equipment stability indexes by adopting the equipment maintenance threshold to obtain equipment to be maintained;
and carrying out maintenance before failure on the equipment to be maintained.
The foregoing detailed description of the method for optimizing the control of the multiple switches will be clear to those skilled in the art, and the device disclosed in this embodiment is relatively simple to describe, and the relevant places refer to the description of the method section.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (5)
1. The multi-way switch control optimization method is characterized by comprising the following steps of:
interactively obtaining production equipment composition information of a target production workshop, wherein the production equipment composition information comprises M production equipment, and M is a positive integer;
a plurality of production lines of the target production workshop are obtained in an interactive mode, wherein the production lines adopt a plurality of production product identifiers, each production line comprises K production devices, and K is a positive integer less than or equal to M;
carrying out production equipment association order calling based on the plurality of production lines to obtain a plurality of groups of equipment association orders;
pre-configuring M independent relays for the M production devices, wherein the M independent relays are provided with M relay codes;
generating a plurality of groups of relay operation coding sequences according to the plurality of groups of equipment association sequences and the M independent relays;
receiving a real-time production demand sent by a user side, and mapping and calling in the multiple groups of relay operation coding sequences according to the real-time production demand to obtain a target relay coding sequence;
performing switch control optimization on the M production devices according to the target relay coding sequence to generate a target production line;
Wherein, based on the plurality of production lines, performing production equipment association order call to obtain a plurality of groups of equipment association orders, before the method further comprises:
obtaining a first production line based on the plurality of production line calls, wherein the first production line comprises K production devices;
the method comprises the steps of interacting historical production logs, generating search instructions based on first production product identifiers of a first production line, traversing the historical production logs to obtain first production logs, wherein the first production logs comprise a plurality of groups of equipment activation duration information;
performing data disassembly on the multi-group equipment activation time length information based on the K production equipment to obtain K groups of equipment activation time length-equipment use time length;
pre-constructing an activation time length predictor, and synchronizing the K groups of equipment activation time length-equipment use time length to the activation time length predictor to obtain K equipment activation prediction time lengths;
the K device activation prediction durations form a first activation duration prediction group;
and so on, obtaining a plurality of activation time length prediction groups of the plurality of production lines;
pre-constructing an activation time length predictor, and synchronizing the K groups of device activation time length-device use time length to the activation time length predictor to obtain K device activation predicted time lengths, wherein the method further comprises:
Pre-constructing an activation time limit calculation function, wherein the activation time limit calculation function is as follows:
wherein (1)>The predicted time length for activating the device, t is the device use time length of the current use period, +.>To->Is the device of a plurality of previous use periods is used for a long time,/for a long time>To->Is a plurality of device activation durations;
constructing an activation time length analysis layer based on the activation time limit calculation function, and adapting an original data input layer and an analysis result output layer to the activation time length analysis layer to complete the construction of the activation time length predictor;
synchronizing the K groups of equipment activation time length-equipment use time length to the activation time length predictor to obtain K pieces of equipment activation prediction time lengths;
carrying out production process flow calling according to the first production line to obtain a first equipment process flow;
optimizing the equipment activation sequence of the first equipment process flow according to the K equipment activation prediction time lengths to obtain a first group of equipment association sequence;
and similarly, carrying out production process flow calling based on the plurality of production lines to obtain a plurality of equipment process flows, and carrying out equipment activation sequence optimization on the plurality of equipment process flows according to the plurality of activation duration prediction groups to obtain the plurality of groups of equipment association sequences;
The method further comprises the steps of:
presetting a switch response monitoring window, and monitoring switch response time lengths of the M production devices based on the switch response monitoring window to obtain M groups of switch response time length information;
pre-constructing a response stability function, wherein the response stability function is as follows:
wherein R is the equipment stability index, < >>For the single device response duration weight, +.>For a single device response duration, i is a device index from 1 to n;
substituting the M groups of switch response time length information into the response stability function one by one to obtain M equipment stability indexes;
presetting an equipment maintenance threshold, and traversing the M equipment stability indexes by adopting the equipment maintenance threshold to obtain equipment to be maintained;
and carrying out maintenance before failure on the equipment to be maintained.
2. The method of claim 1, wherein M independent relays are preconfigured for the M production devices, wherein the M independent relays have M relay codes, the method further comprising:
the method comprises the steps of pre-configuring a production control CPLD, wherein the production control CPLD comprises a communication interface, an input pin and M output pins;
connecting the M output pins to control ends of the M independent relays, wherein the M output pins are configured with M timer modules;
Pre-configuring an external memory, wherein the external memory is connected with the communication interface, and the communication interface is connected to the production control CPLD based on the input pin;
and carrying out identification processing on the plurality of groups of relay operation code sequences by adopting the plurality of production product identifications according to the association mapping of the plurality of production lines and the plurality of groups of relay operation code sequences, and synchronizing the plurality of groups of relay operation code sequences subjected to the identification processing to the external memory.
3. The method of claim 2, wherein a real-time production requirement sent by a user side is received, and a target relay code sequence is obtained by mapping and calling in the multiple groups of relay operation code sequences according to the real-time production requirement, and the method further comprises:
the external memory receives the real-time production demand;
carrying out product analysis on the real-time production requirement to obtain a target production product;
and traversing the plurality of production product identifiers by adopting the target production product to obtain a target relay coding sequence.
4. The method of claim 3, wherein the M production devices are switch controlled optimized according to the target relay code sequence to produce a target production line, the method further comprising:
Disassembling production equipment based on the target relay coding sequence to obtain a plurality of groups of relay coding-equipment activation nodes;
the external memory synchronizing the plurality of sets of relay code-device activation nodes to the production control CPLD based on the communication interface;
mapping the plurality of sets of relay code-device activation nodes to a plurality of target output pins and a plurality of target timer modules based on internal logic circuitry in the production control CPLD;
and controlling the plurality of target output pins to conduct on-off control of the plurality of target relays based on the plurality of target timer modules.
5. A multiple switch control optimization system for implementing the multiple switch control optimization method of any one of claims 1-4, comprising:
the system comprises a composition information acquisition module, a control module and a control module, wherein the composition information acquisition module is used for interactively acquiring production equipment composition information of a target production workshop, the production equipment composition information comprises M production equipment, and M is a positive integer;
the production line acquisition module is used for interactively acquiring a plurality of production lines of the target production workshop, wherein the production lines adopt a plurality of production product identifiers, each production line comprises K production devices, and K is a positive integer less than or equal to M;
The association order calling module is used for calling the association orders of the production equipment based on the production lines to obtain a plurality of groups of equipment association orders;
the relay configuration module is used for pre-configuring M independent relays for the M production devices, wherein the M independent relays are provided with M relay codes;
the multi-group sequence generation module is used for generating a multi-group relay operation coding sequence according to the multi-group equipment association sequence and the M independent relays;
the target sequence calling module is used for receiving real-time production requirements sent by a user side, and mapping and calling the real-time production requirements in the plurality of groups of relay operation coding sequences to obtain target relay coding sequences;
and the switch control optimization module is used for carrying out switch control optimization on the M production devices according to the target relay coding sequence to generate a target production line.
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