CN112561126A - Auxiliary transportation method and device for assembly line articles - Google Patents
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Abstract
The invention provides an auxiliary transportation method and device for assembly line articles, wherein the auxiliary transportation method comprises the following steps: inputting the pipeline state information into a preset pipeline maximum capacity prediction model, wherein the output of the pipeline maximum capacity prediction model is pipeline maximum capacity data; generating pipeline congestion information according to the pipeline estimated flow data and the pipeline maximum capacity data; regulating and controlling the opening and closing state of a buffer area on the production line according to the production line congestion information, and further carrying out article transportation by the aid of the buffer area to assist the production line; according to the invention, through the determination of the current flow of the assembly line, the prediction of the maximum capacity of the assembly line and the setting of the estimated flow of the assembly line, the buffer area is automatically opened at the time of a high flow, and the express mail in the buffer area is automatically released at the time of a low flow, so that the waste phenomenon of manpower and equipment can be solved, the problem of the assembly line is reduced, and the operation efficiency of distributing articles is improved.
Description
Technical Field
The invention relates to the field of article distribution, in particular to an auxiliary transportation method and device for assembly line articles.
Background
After the express delivery arrived the express delivery and allocated the center, at first through the front end roughly divide regionally, the express delivery of the same flow direction will be sorted same main assembly line, later reach terminal letter sorting region, and the express delivery on the assembly line can be subdivided the loading to the letter sorting personnel in this region.
However, the quantity of the parts on the main assembly line is high in time and low in time, in order to ensure the normal operation of distribution, the investment of personnel and equipment is required to be configured according to the standard of express high peak value, and the mode is huge waste under the condition of low flow; meanwhile, under the condition of high flow, problems occur easily, for example, the flow line is blocked, extra manpower needs to be added to dredge the flow line at the moment, and the continuous blocking of the flow line is avoided by reducing the unloading efficiency of express delivery under the condition of serious blocking.
In addition, the operation efficiency of the current automation equipment is limited, when the main production line reaches a certain flow value, the equipment cannot be used, and only a manual mode is used, so that the pushing of the distribution automation scheme is a great obstacle, and the distribution operation efficiency is also reduced.
Disclosure of Invention
In order to solve at least one of the above problems, a first aspect of the present invention provides a method for assisting transportation of an article in a production line, the method comprising:
inputting the pipeline state information into a preset pipeline maximum capacity prediction model, wherein the output of the pipeline maximum capacity prediction model is pipeline maximum capacity data; the pipeline maximum capacity prediction model is obtained by training historical pipeline state information and historical pipeline maximum capacity data;
generating pipeline congestion information according to the pipeline estimated flow data and the pipeline maximum capacity data;
regulating and controlling the opening and closing state of a buffer area on the production line according to the production line congestion information, and further carrying out article transportation by the aid of the buffer area to assist the production line; the buffer region is located at least one set position on the pipeline.
In a preferred embodiment, the step of determining the pipeline look ahead flow data comprises:
determining the current flow data of the production line according to the number of unloaded articles, the number of shipped articles and the article transportation destination on the current production line;
determining net inflow data of the assembly line according to the article inflow data and the article outflow data;
and determining the estimated flow data of the assembly line according to the current flow data and the net inflow data of the assembly line.
In a preferred embodiment, the step of determining said item inflow data comprises:
and determining the article inflow data according to the number of articles currently unloaded from the vehicle, the article unloading efficiency and the destination corresponding to the articles.
In a preferred embodiment, the step of determining the outflow data of the item comprises:
and determining the article outflow data according to the number of the articles on the current assembly line, the article loading efficiency and the destination corresponding to the articles.
In a preferred embodiment, generating pipeline congestion information according to pipeline estimated flow data and the pipeline maximum capacity data includes:
obtaining pipeline early warning data according to the ratio of the pipeline estimated flow data to the pipeline maximum capacity data;
and generating pipeline congestion information according to the pipeline early warning data.
In a preferred embodiment, the adjusting and controlling the on-off state of the buffer area on the pipeline according to the pipeline congestion information includes:
when the pipeline early warning data is larger than a preset value, starting a buffer area for article caching;
and when the pipeline early warning data is smaller than a preset value, releasing the buffer area to release the articles.
In a preferred embodiment, the auxiliary transportation method further comprises:
and determining the set positions and the number of the buffer areas arranged at each set position according to the article blocking positions and the corresponding article number when the assembly line is blocked.
A second aspect of the present invention provides an auxiliary line article transporting device comprising:
constructing a pipeline maximum capacity prediction model module, inputting pipeline state information into a preset pipeline maximum capacity prediction model, wherein the output of the pipeline maximum capacity prediction model is pipeline maximum capacity data; the pipeline maximum capacity prediction model is obtained by training historical pipeline state information and historical pipeline maximum capacity data;
the pipeline congestion information generation module is used for generating pipeline congestion information according to the pipeline estimated flow data and the pipeline maximum capacity data;
and the auxiliary transportation module is used for configuring at least one buffer area on the production line according to the congestion information of the production line, and further carrying out article transportation on the production line through the buffer area.
A third aspect of the invention provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor,
the processor, when executing the program, implements the steps of any of the method of assisting transportation described above.
A fourth aspect of the invention provides a computer-readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the method for assisted transportation according to any of the preceding claims.
The invention has the advantages of
The invention provides an auxiliary transportation method and device for assembly line articles, wherein the auxiliary transportation method comprises the following steps: inputting the pipeline state information into a preset pipeline maximum capacity prediction model, wherein the output of the pipeline maximum capacity prediction model is pipeline maximum capacity data; the pipeline maximum capacity prediction model is obtained by training historical pipeline state information and historical pipeline maximum capacity data; generating pipeline congestion information according to the pipeline estimated flow data and the pipeline maximum capacity data; regulating and controlling the opening and closing state of a buffer area on the production line according to the production line congestion information, and further carrying out article transportation by the aid of the buffer area to assist the production line; the buffer area is located at least one set position on the pipeline; according to the invention, through the determination of the current flow of the assembly line, the prediction of the maximum capacity of the assembly line and the setting of the estimated flow of the assembly line, the buffer area is automatically opened at the time of a flow peak, and the express mail in the buffer area is automatically released at the time of a flow valley, so that the assembly line is kept in a balanced condition at the time of a flow peak or a flow valley, thereby solving the waste phenomenon of manpower and equipment, reducing the problem of the assembly line, and improving the operation efficiency of distributing articles.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic flow chart of a method for assisting in transporting articles in a production line according to an embodiment of the present invention;
FIG. 2 is a schematic structural view of an auxiliary transportation device for articles in a production line according to an embodiment of the present invention;
FIG. 3 shows a schematic diagram of a computer device suitable for use in implementing embodiments of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
After the express delivery arrives the express delivery center, at first through the front end roughly divide the region, the express delivery of the same flow direction will be sorted to same assembly line. Then reach terminal letter sorting region, the letter sorting personnel in this region can subdivide the loading to the express delivery on the assembly line.
However, the amount of components on the main pipeline is a phenomenon of high and low time. In order to guarantee normal operation of distribution, investment of personnel and equipment is required to be configured according to the standard of express delivery high peak values, and the mode is huge waste under the condition of low flow, and meanwhile, under the condition of high flow, problems such as flow line congestion easily occur, extra manpower is required to be added to dredge the flow line at the moment, and in addition, the operation efficiency of distribution can be reduced.
Based on this, referring to fig. 1, a first aspect of the present invention provides an auxiliary transportation method for pipelined objects, the auxiliary transportation method comprising:
s11: inputting the pipeline state information into a preset pipeline maximum capacity prediction model, wherein the output of the pipeline maximum capacity prediction model is pipeline maximum capacity data; the pipeline maximum capacity prediction model is obtained by training historical pipeline state information and historical pipeline maximum capacity data;
specifically, the pipeline maximum capacity prediction model is established based on a deep learning algorithm, the indexes of the pipeline maximum capacity are difficult to be specifically judged manually, the indexes are also difficult to be accurately described by a mathematical expression, the deep learning algorithm can learn complex characteristics and label and classify the pipeline maximum capacity data, therefore, historical pipeline state information and the historical pipeline maximum capacity data can be trained by the deep learning algorithm, corresponding processing is timely carried out according to a training result, the pipeline maximum capacity prediction model is obtained, and the pipeline state information comprises: the flow of the assembly line is real-time, the express jam state of the assembly line is obvious, and the transmission speed of the assembly line is high; the maximum capacity of the assembly line refers to the maximum express quantity which can be accommodated by the assembly line under the condition that the assembly line is not jammed.
S12: generating pipeline congestion information according to the pipeline estimated flow data and the pipeline maximum capacity data;
specifically, the pipeline congestion information includes: the congestion position and the corresponding express delivery quantity on the assembly line.
S13: regulating and controlling the opening and closing state of a buffer area on the production line according to the production line congestion information, and further carrying out article transportation by the aid of the buffer area to assist the production line; the buffer region is located at least one set position on the pipeline.
Specifically, when the express delivery on the assembly line takes place to block up, open the buffer area, make the express delivery get into the buffer area, full as a buffer area express delivery quantity, open next buffer area automatically, the express delivery that is not blocked up until the assembly line, when the express delivery on the assembly line is less than certain quantity, the express delivery quantity in buffer area can constantly release, improves the express delivery and distributes efficiency.
It should be noted that the above specific example is not only applicable to express distribution, but also applicable to distribution of other articles, such as: the air luggage goods are allocated, and the products in the production line of the factory are allocated.
According to the invention, through the determination of the current flow of the assembly line, the prediction of the maximum capacity of the assembly line and the setting of the estimated flow of the assembly line, the buffer area is automatically opened at the time of a flow peak, and the express mail in the buffer area is automatically released at the time of a flow valley, so that the assembly line is kept in a balanced condition at the time of a flow peak or a flow valley, thereby solving the waste phenomenon of manpower and equipment, reducing the problem of the assembly line, and improving the operation efficiency of distributing articles.
In some embodiments, the step of determining the pipeline look ahead flow data comprises: determining the current flow data of the production line according to the number of unloaded articles, the number of shipped articles and the article transportation destination on the current production line; determining net inflow data of the assembly line according to the article inflow data and the article outflow data; determining the estimated flow data of the assembly line according to the current flow data and the net inflow data of the assembly line;
specifically, the net inflow data of the assembly line is obtained by subtracting the outflow data of the articles from the inflow data of the articles in a period of time in the future, and then the current flow data of the assembly line and the net inflow data of the assembly line are added to obtain the estimated flow data of the assembly line in a period of time in the future.
For example, the flow rate of the express in a future period is 300 pieces, the flow rate of the express is 200 pieces, the current flow rate of the assembly line is 100 pieces, and the estimated flow rate data of the assembly line in the future period can be 200 pieces.
Further, the step of determining the item inflow data comprises: and determining the article inflow data according to the number of articles currently unloaded from the vehicle, the article unloading efficiency and the destination corresponding to the articles.
For example, in a specific scenario, the number of currently unloaded express packages is 1000, wherein 600 express packages are sent to shanghai, and the unloading efficiency of the express packages is 100 express packages per minute, which indicates that it takes 6 minutes for the 600 express packages sent to shanghai to be unloaded, and then the inflow of the express packages in the future 6 minutes is 600 express packages.
Further, the step of determining the item outflow data comprises: and determining the article outflow data according to the number of the articles on the current assembly line, the article loading efficiency and the destination corresponding to the articles.
For example, in a specific scenario, the total number of the current expressages on the assembly line is 800, 300 of the expressages are sent to shanghai, and the express loading efficiency is 100 pieces per minute, which indicates that 3 minutes are required for completing the unloading of 300 expressages sent to shanghai, and then the outflow of the expressages in the next 3 minutes is 300.
In some embodiments, generating pipeline congestion information based on pipeline forecast flow data and the pipeline maximum capacity data comprises: obtaining pipeline early warning data according to the ratio of the pipeline estimated flow data to the pipeline maximum capacity data; and generating pipeline congestion information according to the pipeline early warning data.
For example, the estimated flow of the production line is 60, the maximum capacity of the production line is 100, the obtained early warning data of the production line is 0.6 (or 60%), and then the congestion condition of the production line is judged according to the size of the early warning data of the production line, wherein the larger the early warning data is, the more congested the production line is.
Further, according to the pipeline jam information, the on-off state of the buffer area is regulated and controlled on the pipeline, and the method comprises the following steps: when the pipeline early warning data is larger than a preset value, starting a buffer area for article caching; and when the pipeline early warning data is smaller than a preset value, releasing the buffer area to release the articles.
Specifically, when the pipeline early warning data exceeds a preset value, the buffer area is automatically opened to cache the express until the pipeline early warning data reaches a set value, and when the pipeline early warning data is lower than the preset value, the buffer area has the express cache, and the express in the buffer area is automatically released.
For example, in a specific scenario, the preset value at the time of express peak is set to be 80% (80% of the maximum capacity of the assembly line), the preset value at the time of express valley is set to be 50% (50% of the maximum capacity of the assembly line), the set value at the time of normal flow of the assembly line is set to be 70% (70% of the maximum capacity of the assembly line), when the early warning data of the assembly line is higher than 80%, the buffer area is opened for caching of express, until the early warning data of the assembly line reaches 70%, the buffer area is closed; and when the pipeline early warning data is lower than 50%, releasing the express delivery of the buffer area until the express delivery quantity of the buffer area is zero.
In some embodiments, the method of assisted transportation further comprises: and determining the set positions and the number of the buffer areas arranged at each set position according to the article blocking positions and the corresponding article number when the assembly line is blocked.
Specifically, according to statistics of jam conditions of express delivery in a historical production line, the positions of express delivery which are frequently blocked on the production line and the number of express delivery which are frequently blocked in the process of jam are determined, and then the positions and the number of buffer areas are determined.
For example, by counting the congestion conditions of a pipeline in the previous year, it can be known that express is often congested at A, B, C, and when A, B, C express is congested at three locations, the maximum congestion amounts are 300 pieces, 200 pieces and 100 pieces, respectively, and each buffer area can accommodate 100 pieces of express, so that it is necessary to set 3 buffer areas at a location a, 2 buffer areas at a location B and 1 buffer area at a location C.
In some embodiments, the method of assisted transportation comprises:
step 1: and (5) training a machine learning model. A machine learning model for predicting the maximum capacity of the pipeline is trained based on historical real-time flow on the pipeline and corresponding pipeline conditions. The maximum capacity of the assembly line refers to the maximum express quantity which can be accommodated by the assembly line under the condition that the assembly line is not jammed.
Step 2: and predicting the maximum capacity of the pipeline. Using the model obtained in (1), the maximum capacity on each pipeline is predicted and a fence (85% of maximum capacity) is set for the corresponding pipeline.
And step 3: and determining the installation positions and the number of the buffer areas. The positions and the number of buffer areas to be installed are determined according to historical pipeline blockage conditions (flow rate on the pipeline and blockage positions when the pipeline is blocked).
And 4, step 4: and calculating the real-time flow of the assembly line. And after the distribution starts to work, calculating the express flow on each assembly line in real time according to the unloaded express quantity, the loaded express quantity and the express destination.
And 5: and predicting the express inflow amount in a future period of time. And calculating the flow-line express inflow in the future period of time according to the number of the express currently unloaded from the vehicle and the corresponding destination and unloading efficiency.
Step 6: and predicting the express delivery outflow in a future period of time. And calculating the flow rate of express delivery of the assembly line in a period of time in the future according to the number of the current express delivery on the assembly line and the corresponding destination and loading efficiency.
And 7: and predicting the net inflow of the current express. And obtaining the net inflow quantity of the express on the current assembly line according to the calculation results of the step 5 and the step 6 (the result of the step 5 is subtracted by the result of the step 6).
And 8: and (5) early warning of the pipeline congestion. And obtaining the flow at the future moment according to the results of the step 4 and the step 7 (the step 4 plus the step 7). If the flow is larger than 85% of the maximum capacity of the production line, entering step 9; if the flow rate is less than 50% of the maximum capacity of the production line and there is an express cache in the buffer area, step 10 is performed.
And step 9: the buffer area is opened. And automatically starting a buffer area to cache the express until the predicted flow rate is reduced to 70%. If one buffer area is full and the predicted flow still exceeds the warning line, the next buffer area is automatically started and the current buffer area is closed.
Step 10: the buffer area is released. From bottom to top, the express delivery in the buffer area is released automatically.
Step 11: and repeating the steps 4-8, so that the flow on the assembly line is integrally kept in a balanced state.
It should be noted that only one form of the auxiliary transportation method of the embodiment is shown here, and those skilled in the art can understand that, without affecting the main concept of the present invention, those skilled in the art can select other auxiliary transportation methods without creative work, for example, a warning line corresponding to a production line is set, which may be 80%, 85%, 90%, etc. of the maximum capacity, and the number of the corresponding buffer areas to be installed will also change, and the present invention is not limited herein.
From the above description, the auxiliary transportation method of the present invention automatically opens the buffer area at the peak of the flow rate, and automatically releases the express in the buffer area at the valley of the flow rate, so as to keep the flow line in a balanced condition at the peak of the flow rate or the valley of the flow rate, thereby solving the waste of manpower and equipment, reducing the problem of the flow line, and improving the operation efficiency of the distribution of articles, meanwhile, the auxiliary transportation method has simple process and scientific basis, can provide effective data support for the daily operation and maintenance work of express distribution, has strong scientificity, reliability and operability, can effectively promote the distribution automation scheme, shorten the processing time, and solve the problems of resource waste and mismatching, can be used for various goods distribution tasks.
In a second aspect of the present invention, there is provided an embodiment of an auxiliary transportation device for a pipeline article in a method for auxiliary transportation of a pipeline article, referring to fig. 2, the auxiliary transportation device includes:
a pipeline maximum capacity prediction model module 21 is constructed, pipeline state information is input into a preset pipeline maximum capacity prediction model, and the output of the pipeline maximum capacity prediction model is pipeline maximum capacity data; the pipeline maximum capacity prediction model is obtained by training historical pipeline state information and historical pipeline maximum capacity data;
a pipeline congestion information generation module 22 for generating pipeline congestion information according to the pipeline estimated flow data and the pipeline maximum capacity data;
and the auxiliary transportation module 23 is configured with at least one buffer area on the production line according to the congestion information of the production line, and further transports the articles through the buffer area auxiliary production line.
The auxiliary transportation device of the invention determines the current flow of the assembly line, predicts the maximum capacity of the assembly line and sets the estimated flow of the assembly line, when the flow is in a peak, the buffer area is automatically opened, when the flow is in a valley, the express in the buffer area is automatically released, so that the assembly line keeps a balanced condition when the flow is in a peak or a valley, thus, the waste of manpower and equipment can be solved, the problem of assembly line is reduced, the running efficiency of distributing articles is improved, and simultaneously, the auxiliary transportation method is simple in process and scientific in basis, can provide effective data support for daily operation and maintenance work of express distribution, has strong scientificity, reliability and operability, can effectively promote the distribution automation scheme, shortens the processing time, solves the problems of resource waste, mismatching and the like, and can be used for various goods distribution tasks.
The embodiment of the present invention further provides a specific embodiment of an electronic device capable of implementing all steps in the method for assisting transportation of a pipeline article in the foregoing embodiment, and referring to fig. 3, the electronic device specifically includes the following contents:
a processor (processor)301, a memory (memory)302, a communication Interface (Communications Interface)303, and a bus 304; the processor 301, the memory 302 and the communication interface 303 complete mutual communication through the bus 304; the communication interface 303 is used for realizing information transmission among the auxiliary transportation device, the client terminal, the defect monitoring equipment and other participating mechanisms of the pipeline article;
the processor 301 is configured to call a computer program in the memory 302, and the processor executes the computer program to implement all the steps in the method for assisting transportation of a pipeline article in the above embodiment, for example, when the processor executes the computer program to implement the following steps:
s11: inputting the pipeline state information into a preset pipeline maximum capacity prediction model, wherein the output of the pipeline maximum capacity prediction model is pipeline maximum capacity data; the pipeline maximum capacity prediction model is obtained by training historical pipeline state information and historical pipeline maximum capacity data;
s12: generating pipeline congestion information according to the pipeline estimated flow data and the pipeline maximum capacity data;
s13: regulating and controlling the opening and closing state of a buffer area on the production line according to the production line congestion information, and further carrying out article transportation by the aid of the buffer area to assist the production line; the buffer region is located at least one set position on the pipeline.
From the above description, the electronic device provided by the invention automatically opens the buffer area at the peak of the flow rate through the determination of the current flow rate of the assembly line, the prediction of the maximum capacity of the assembly line and the setting of the estimated flow rate of the assembly line, and automatically releases the express in the buffer area at the valley of the flow rate, so that the assembly line keeps a balanced condition at the peak of the flow rate or the valley of the flow rate, thereby solving the waste phenomenon of manpower and equipment, reducing the problem of the assembly line, improving the operating efficiency of the distribution of articles, meanwhile, the auxiliary transportation method has simple process and scientific basis, can provide effective data support for the daily operation and maintenance work of the express distribution, has strong scientificity, reliability and operability, can effectively promote the distribution automation scheme, shorten the processing time, and solve the problems of resource waste, mismatching and the like, can be used for various goods distribution tasks.
An embodiment of the present invention further provides a computer-readable storage medium capable of implementing all the steps in the method for assisting transportation of a pipeline article in the above embodiment, where the computer-readable storage medium stores thereon a computer program, and the computer program implements all the steps in the method for assisting transportation of a pipeline article in the above embodiment when executed by a processor, for example, the processor implements the following steps when executing the computer program:
s11: inputting the pipeline state information into a preset pipeline maximum capacity prediction model, wherein the output of the pipeline maximum capacity prediction model is pipeline maximum capacity data; the pipeline maximum capacity prediction model is obtained by training historical pipeline state information and historical pipeline maximum capacity data;
s12: generating pipeline congestion information according to the pipeline estimated flow data and the pipeline maximum capacity data;
s13: regulating and controlling the opening and closing state of a buffer area on the production line according to the production line congestion information, and further carrying out article transportation by the aid of the buffer area to assist the production line; the buffer region is located at least one set position on the pipeline.
From the above description, it can be seen that the computer-readable storage medium provided by the present invention, through the determination of the current flow rate of the flow line, the prediction of the maximum capacity of the flow line and the setting of the estimated flow rate of the flow line, automatically opens the buffer area at the peak of the flow rate, and automatically releases the express in the buffer area at the valley of the flow rate, so that the flow line keeps a balanced situation at the peak of the flow rate or the valley of the flow rate, thereby solving the waste of manpower and equipment, reducing the problem of the flow line, and improving the operation efficiency of the distribution of goods, meanwhile, the auxiliary transportation method has a simple process and scientific basis, can provide effective data support for the daily operation and maintenance work of the express distribution, has strong scientificity, reliability and operability, can effectively push the distribution automation scheme, shorten the processing time, and solve the problems of resource waste, mismatching and the like, can be used for various goods distribution tasks.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the hardware + program class embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment. Although embodiments of the present description provide method steps as described in the embodiments or flowcharts, more or fewer steps may be included based on conventional or non-inventive means. The order of steps recited in the embodiments is merely one of many possible orders of execution and does not represent a unique order of execution. When an actual apparatus or end product executes, it can execute sequentially or in parallel (e.g., parallel processors or multi-threaded environments, or even distributed data processing environments) according to the embodiments or methods shown in the drawings. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the presence of additional identical or equivalent elements in a process, method, article, or apparatus that comprises the recited elements is not excluded. For convenience of description, the above devices are described as being divided into various modules by functions, and are described separately. Of course, in implementing the embodiments of the present description, the functions of the respective modules may be implemented in the same software and/or hardware or the modules implementing the same functions may be implemented by a combination of a plurality of sub-modules or sub-units. The above-described apparatus embodiments are merely illustrative, and for example, the division of the units is merely a logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form. The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein. The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to part of the description of the method embodiment. In the description of the present specification, reference to the description of the terms "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the embodiments of the present specification. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the various embodiments or examples and features of the various embodiments or examples described in this specification can be combined and combined by those skilled in the art without contradiction. The above description is only an embodiment of the present disclosure, and is not intended to limit the present disclosure. Various modifications and changes may occur to those skilled in the art to which the embodiments of the present disclosure pertain. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the present specification should be included in the scope of the claims of the embodiments of the present specification.
Claims (10)
1. An auxiliary transportation method for pipelined objects is characterized by comprising the following steps:
inputting the pipeline state information into a preset pipeline maximum capacity prediction model, wherein the output of the pipeline maximum capacity prediction model is pipeline maximum capacity data; the pipeline maximum capacity prediction model is obtained by training historical pipeline state information and historical pipeline maximum capacity data;
generating pipeline congestion information according to the pipeline estimated flow data and the pipeline maximum capacity data;
regulating and controlling the opening and closing state of a buffer area on the production line according to the production line congestion information, and further carrying out article transportation by the aid of the buffer area to assist the production line; the buffer region is located at least one set position on the pipeline.
2. The method of assisting transportation of claim 1, wherein the step of determining the pipeline look-ahead flow data comprises:
determining the current flow data of the production line according to the number of unloaded articles, the number of shipped articles and the article transportation destination on the current production line;
determining net inflow data of the assembly line according to the article inflow data and the article outflow data;
and determining the estimated flow data of the assembly line according to the current flow data and the net inflow data of the assembly line.
3. The method of assisting transportation of claim 2, wherein the step of determining the item inflow data comprises:
and determining the article inflow data according to the number of articles currently unloaded from the vehicle, the article unloading efficiency and the destination corresponding to the articles.
4. The method of assisting transportation of claim 2, wherein the step of determining the item outflow data comprises:
and determining the article outflow data according to the number of the articles on the current assembly line, the article loading efficiency and the destination corresponding to the articles.
5. The method of claim 1, wherein generating pipeline congestion information based on pipeline forecast flow data and the pipeline maximum capacity data comprises:
obtaining pipeline early warning data according to the ratio of the pipeline estimated flow data to the pipeline maximum capacity data;
and generating pipeline congestion information according to the pipeline early warning data.
6. The auxiliary transportation method as claimed in claim 5, wherein the adjusting and controlling the opening and closing state of the buffer area on the production line according to the congestion information of the production line comprises:
when the pipeline early warning data is larger than a preset value, starting a buffer area for article caching;
and when the pipeline early warning data is smaller than a preset value, releasing the buffer area to release the articles.
7. The method of assisted transportation of claim 1, further comprising:
and determining the set positions and the number of the buffer areas arranged at each set position according to the article blocking positions and the corresponding article number when the assembly line is blocked.
8. An auxiliary-line article transport device, comprising:
constructing a pipeline maximum capacity prediction model module, inputting pipeline state information into a preset pipeline maximum capacity prediction model, wherein the output of the pipeline maximum capacity prediction model is pipeline maximum capacity data; the pipeline maximum capacity prediction model is obtained by training historical pipeline state information and historical pipeline maximum capacity data;
the pipeline congestion information generation module is used for generating pipeline congestion information according to the pipeline estimated flow data and the pipeline maximum capacity data;
and the auxiliary transportation module is used for configuring at least one buffer area on the production line according to the congestion information of the production line, and further carrying out article transportation on the production line through the buffer area.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the method of assisting transportation are implemented by the processor when the program is executed.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method for assisted transportation according to any one of claims 1 to 7.
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| CN113610304A (en) * | 2021-08-11 | 2021-11-05 | 北京京东乾石科技有限公司 | Congestion prediction method, device, equipment and storage medium |
| WO2024109227A1 (en) * | 2022-11-24 | 2024-05-30 | 上海船舶工艺研究所(中国船舶集团有限公司第十一研究所) | Ship profile automated cutting sequence optimization method and apparatus, device, and medium |
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