CN113009895A - Dynamic production control method, system and storage medium - Google Patents
Dynamic production control method, system and storage medium Download PDFInfo
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- CN113009895A CN113009895A CN202110251200.4A CN202110251200A CN113009895A CN 113009895 A CN113009895 A CN 113009895A CN 202110251200 A CN202110251200 A CN 202110251200A CN 113009895 A CN113009895 A CN 113009895A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by quality surveillance of production
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32368—Quality control
Abstract
The invention discloses a dynamic production control method, a system and a computer readable storage medium, wherein the method comprises the following steps: firstly, collecting image data on a production line body; then, identification is carried out based on the image data to obtain first information and second information; then obtaining product information on the production line body; then, according to the first information, the second information and the product information, determining a unit production value serving as a production line efficiency index; if the determined unit capacity value does not exceed the unit capacity threshold value, generating a distribution adjustment strategy according to the determined unit capacity value; and finally, adjusting the production line body based on the distribution adjusting strategy.
Description
Technical Field
The present invention relates to production control technologies, and in particular, to a dynamic production control method, system, and computer readable storage medium.
Background
The production efficiency of a production line is usually calculated by unit man-Hour capacity (unit Per Hour Per Person, unit energy value), i.e. measured by the number of products produced Per Hour by each production staff.
The existing unit capacity value calculation method is to divide the number of finished products produced per day according to the number of production personnel per line. The number of personnel in the unit productivity value calculation mode is relatively fixed, namely, the condition that the personnel leave the production line midway is not considered according to the working calculation of how many people are on duty on the same day, so that the actual hourly output number of each line cannot be dynamically and accurately calculated, and the production efficiency of different machine types cannot be accurately calculated.
Disclosure of Invention
The embodiment of the invention provides a dynamic production control method, a dynamic production control system and a computer readable storage medium, which can realize continuous optimization of production line distribution conditions.
According to a first aspect of the present invention, there is provided a dynamic production control method, the method comprising: collecting image data on a production line body; identifying based on the image data to obtain first information and second information, wherein the first information is production line distribution information on the production line body, and the second information is distribution information of operation points corresponding to each production line; acquiring product information on the production line body; determining a unit production capacity value serving as a production line efficiency index according to the first information, the second information and the product information; if the determined unit capacity value does not exceed the unit capacity threshold value, generating a distribution adjustment strategy according to the determined unit capacity value; and adjusting the production line body based on the distribution adjusting strategy.
According to an embodiment of the present invention, the product information includes a product number and a product type; determining a unit production capacity value as a production line efficiency index according to the first information, the second information and the product information, including: determining the product type and the product quantity corresponding to the second information; and determining the unit production value corresponding to the product type according to the first information, the second information, the product type and the product quantity.
According to an embodiment of the present invention, the product information includes the number of semi-finished products corresponding to each production line; determining a unit production capacity value as a production line efficiency index according to the first information, the second information and the product information, including: determining the number of semi-finished products corresponding to the second information; and respectively determining the corresponding sub-unit production value of each production line according to the first information, the second information and the number of semi-finished products.
According to an embodiment of the present invention, adjusting the production line body based on the distribution adjustment policy includes: and reducing the distribution of the corresponding operation points of the production line according to the priority sequence of the production line based on the distribution adjustment strategy.
According to an embodiment of the invention, the method further comprises: and if the determined unit capacity value exceeds a unit capacity threshold value, determining the first information and the second information as reference distribution information.
According to a second aspect of the present invention, there is also provided a dynamic production control system, the system comprising: the camera on the production line body is used for image data on the case production line body; the processor is used for identifying based on the image data to obtain first information and second information, wherein the first information is distribution information of production lines on the production line body, and the second information is distribution information of operation points corresponding to the production lines; the product conveying belt is used for acquiring product information on the production line body; the processor is further configured to determine a unit production value serving as a production line efficiency index according to the first information, the second information and the product information; the processor is further configured to adjust the policy according to the determined unit capacity value production distribution if the determined unit capacity value does not exceed the unit capacity threshold; and the workbench dispatching controller is used for adjusting the production line body based on the distribution adjusting strategy.
According to an embodiment of the present invention, the product information includes a product number and a product type; the processor is specifically configured to determine a product type and a product quantity corresponding to the second information; and determining the unit production value corresponding to the product type according to the first information, the second information, the product type and the product quantity.
According to an embodiment of the present invention, the product information includes the number of semi-finished products corresponding to each production line; the processor is specifically configured to determine the number of semi-finished products corresponding to the second information; and respectively determining the corresponding sub-unit production value of each production line according to the first information, the second information and the number of semi-finished products.
According to an embodiment of the present invention, the workbench scheduling controller is specifically configured to reduce distribution of operation points corresponding to a production line according to a priority order of the production line based on the distribution adjustment policy.
According to an embodiment of the present invention, the processor is further configured to determine the first information and the second information as reference distribution information if the determined unit capacity value exceeds a unit capacity threshold.
According to a third aspect of the present invention, there is also provided a computer-readable storage medium comprising a set of computer-executable instructions which, when executed, are operable to perform any of the above-described methods of dynamic production control.
The embodiment of the invention provides a dynamic production control method, a system and a computer readable storage medium, firstly, collecting image data on a production line body; then, identification is carried out based on the image data to obtain first information and second information; then obtaining product information on the production line body; then, according to the first information, the second information and the product information, determining a unit production value serving as a production line efficiency index; if the determined unit capacity value does not exceed the unit capacity threshold value, generating a distribution adjustment strategy according to the determined unit capacity value; and finally, adjusting the production line body based on the distribution adjusting strategy. Therefore, the invention dynamically determines the value of the unit product through the data analysis of the first information, the second information and the product information on the production line, and further intelligently adjusts the distribution conditions of production lines, operation points and the like on the production line based on the unit production energy value, thereby realizing the continuous optimization of the distribution conditions of the production line to achieve the purpose of constructing the generated line portrait.
It is to be understood that the teachings of the present invention need not achieve all of the above-described benefits, but rather that specific embodiments may achieve specific technical results, and that other embodiments of the present invention may achieve benefits not mentioned above.
Drawings
The above and other objects, features and advantages of exemplary embodiments of the present invention will become readily apparent from the following detailed description read in conjunction with the accompanying drawings. Several embodiments of the invention are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which:
in the drawings, the same or corresponding reference numerals indicate the same or corresponding parts.
FIG. 1 is a schematic flow chart illustrating an implementation of a dynamic production control method according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a dynamic production control method according to another embodiment of the present invention;
FIG. 3 is a schematic flow chart of a dynamic production control method according to another embodiment of the present invention;
FIG. 4 is a flow chart illustrating an implementation of a dynamic production control method according to yet another embodiment of the present invention;
fig. 5 is a schematic diagram illustrating a configuration of a dynamic production control system according to an embodiment of the present invention.
Detailed Description
The principles and spirit of the present invention will be described with reference to a number of exemplary embodiments. It is understood that these embodiments are given only to enable those skilled in the art to better understand and to implement the present invention, and do not limit the scope of the present invention in any way. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
The technical solution of the present invention is further elaborated below with reference to the drawings and the specific embodiments.
Fig. 1 shows a schematic implementation flow diagram of a dynamic production control method according to an embodiment of the present invention.
An embodiment of the present invention provides a dynamic production control method, as shown in fig. 1, the dynamic production control method at least includes: operation 101, collecting image data on a production line body; operation 102, performing identification based on the image data to obtain first information and second information; operation 103, acquiring product information on the production line body; operation 104, determining a unit production value as a production line efficiency index according to the first information, the second information and the product information; operation 105, if the determined unit capacity value does not exceed the unit capacity threshold, generating a distribution adjustment policy according to the determined unit capacity value; an operation 106 of adjusting the production line body based on the distribution adjustment strategy.
In operation 101, the dynamic production control system performs image acquisition on the site of the upper production line body in real time through a camera deployed on the production line body to acquire image data on the production line body.
The production line body at least comprises a plurality of different production lines, and a plurality of operation points are distributed on each production line. For a production line body with manual participation, the operation point can be a worker, a production line node and robot equipment with an automatic production function. Correspondingly, the image data at least comprises images corresponding to the production lines and images corresponding to a plurality of operation points distributed on each production line.
In operation 102, the dynamic production control system identifies the image data of the case by a processor with an image identification function, and identifies first information and second information for characterizing the distribution of the production line.
The first information is production line distribution information on the production line body, such as a production line A, a production line B and a production line C distributed on a computer production line body. The second information is distribution information of the corresponding operation points of each production line, for example, 30, 40, 50 workers are respectively distributed on the production line a, the production line B and the production line C.
In an application example, when the job site is a worker, human body detection and human body counting on actual attendance workers (setting an ROI region on an image for a camera for a production line position) of a production line can be periodically (e.g. every minute) realized based on a detection network (e.g. YoloV3 detection network).
In operation 103, the dynamic production control system obtains product information from the production database in real-time. Wherein the product information may include a product quantity and a product type; the product information may further include the number of semi-finished products corresponding to each production line.
In operation 104, the dynamic production control system determines a unit production value as an indicator of production line efficiency using a setting algorithm based on the first information, the second information, and the product information. Where a unit energy yield value may be generally expressed as a unit human energy yield (UPPH), i.e., the number of products produced per hour by each manufacturing employee.
In operation 105, the dynamic production control system determines, via the processor, whether the determined unit capacity value exceeds a unit capacity threshold; if not, the distribution situation of the production line at the moment is not optimal, so that a distribution adjustment strategy needs to be further generated according to the determined unit capacity value to realize dynamic adjustment of the distribution situation of the production line; if the production line body distribution condition exceeds the reference distribution condition, the production line body portrait can be constructed by using the first information and the second information for representing the production line body distribution condition as the reference distribution information.
At operation 106, the dynamic production control system adjusting the production line body based on the distribution adjustment policy may specifically include reducing distribution of operation points corresponding to the production line according to a priority order of the production line based on the distribution adjustment policy.
Therefore, the invention dynamically determines the value of the unit product through the data analysis of the first information, the second information and the product information on the production line, and further intelligently adjusts the distribution conditions of production lines, operation points and the like on the production line based on the unit production energy value, thereby realizing the continuous optimization of the distribution conditions of the production line to achieve the purpose of constructing the generated line portrait.
Fig. 2 is a schematic flow chart showing an implementation of a dynamic production control method according to another embodiment of the present invention.
An embodiment of the present invention further provides a dynamic production control method, as shown in fig. 2, the dynamic production control method at least includes: operation 201, collecting image data on a production line body; operation 202, performing identification based on the image data to obtain first information and second information; operation 203, acquiring product information on the production line body, where the product information includes a product number and a product type; operation 204, determining the product type and the product quantity corresponding to the second information; operation 205, determining a unit production value corresponding to the product type according to the first information, the second information, the product type and the product quantity; in operation 206, if the determined unit capacity value does not exceed the unit capacity threshold, a distribution adjustment policy is generated according to the determined unit capacity value; an operation 207 of adjusting the production line body based on the distribution adjustment strategy.
In operation 201, the dynamic production control system performs image acquisition on the site of the upper production line body in real time through a camera deployed on the production line body to acquire image data on the production line body.
The production line body at least comprises a plurality of different production lines, and a plurality of operation points are distributed on each production line. For a production line body with manual participation, the operation point can be a worker, a production line node and robot equipment with an automatic production function. Correspondingly, the image data at least comprises images corresponding to the production lines and images corresponding to a plurality of operation points distributed on each production line.
In operation 202, the dynamic production control system identifies the image data of the case by a processor with an image identification function, and identifies first information and second information for characterizing the distribution of the production line body.
The first information is production line distribution information on the production line body, such as a production line A, a production line B and a production line C distributed on a computer production line body. The second information is distribution information of the corresponding operation points of each production line, for example, 30, 40, 50 workers are respectively distributed on the production line a, the production line B and the production line C.
Specifically, the processor calculates a time period through the unit capacity value set by the calculation module, averages the results of the attendance number of the different production line workers obtained in the time period, and takes the average as the distribution condition of the production line workers in the time period.
In operation 203, the dynamic production control system obtains product information from the production database in real time. Wherein the product information includes a product quantity and a product type.
In operation 204, the dynamic production control system determines a product type and a product quantity corresponding to the second information according to the second information and the product information.
In operation 205, the dynamic production control system determines a unit production value corresponding to the product type according to the first information, the second information, the product type and the product quantity by using a setting algorithm.
Specifically, the processor calls product information of the production line in a set time period, and calculates a unit production value of the production line in the time period according to the set production line worker attendance number of the production line in the time period.
At operation 206, the dynamic production control system determines, via the processor, whether the determined unit capacity value exceeds a unit capacity threshold; if the production line distribution situation does not exceed the preset value, the current production line distribution situation does not reach the optimal situation, so a distribution adjustment strategy needs to be generated further according to the determined unit capacity value, and the dynamic adjustment of the production line distribution situation is realized.
At operation 207, the dynamic production control system adjusting the production line body based on the distribution adjustment policy may specifically include reducing distribution of production line corresponding operation points according to a priority order of the production line based on the distribution adjustment policy.
Fig. 3 is a schematic flow chart showing an implementation of the dynamic production control method according to another embodiment of the present invention.
An embodiment of the present invention further provides a dynamic production control method, as shown in fig. 3, where the dynamic production control method at least includes: operation 301, acquiring image data on a production line; operation 302, performing identification based on the image data to obtain first information and second information; operation 303, obtaining product information on the production line body, where the product information includes the number of semi-finished products corresponding to each production line; operation 304, determining the number of semi-finished products corresponding to the second information; operation 305, determining the corresponding sub-unit production value of each production line according to the first information, the second information and the number of semi-finished products; operation 306, if the determined yield value of the sub-unit does not exceed the yield threshold of the sub-unit, generating a distribution adjustment policy according to the determined yield value of the sub-unit; operation 307, adjusting the production line body based on the distribution adjustment strategy.
In operation 301, the dynamic production control system performs image acquisition on the site of the upper production line body in real time through a camera deployed on the production line body to acquire image data on the production line body.
The production line body at least comprises a plurality of different production lines, and a plurality of operation points are distributed on each production line. For a production line body with manual participation, the operation point can be a worker, a production line node and robot equipment with an automatic production function. Correspondingly, the image data at least comprises images corresponding to the production lines and images corresponding to a plurality of operation points distributed on each production line.
In operation 302, the dynamic production control system identifies the image data of the case by a processor with an image identification function, and identifies first information and second information for characterizing the distribution of the production line body.
The first information is production line distribution information on the production line body, such as a production line A, a production line B and a production line C distributed on a computer production line body. The second information is distribution information of the corresponding operation points of each production line, for example, 30, 40, 50 workers are respectively distributed on the production line a, the production line B and the production line C.
Specifically, the processor calculates a time period through the unit capacity value set by the calculation module, averages the results of the attendance number of the different production line workers obtained in the time period, and takes the average as the distribution condition of the production line workers in the time period.
In operation 303, the dynamic production control system obtains product information from the production database in real-time. And the product information comprises the number of semi-finished products corresponding to each production line.
In operation 304, the dynamic production control system determines a quantity of semi-finished products corresponding to the second information according to the second information and the product information.
In operation 305, the dynamic production control system determines, according to the first information, the second information, and the number of semi-finished products, a corresponding sub-unit production value for each production line respectively by using a setting algorithm.
Specifically, the processor calls the number of the semi-finished products corresponding to each production line in a set time period, and calculates the corresponding sub-unit production value of each production line in the time period according to the number of the staff attendance of each production line in the set time period.
At operation 306, the dynamic production control system determines, via the processor, whether the determined capacity value of the sub-unit exceeds a capacity threshold of the sub-unit; if the production line distribution situation does not exceed the preset value, the current production line distribution situation does not reach the optimal situation, so a distribution adjustment strategy needs to be generated further according to the determined sub-unit production energy value, so as to realize the dynamic adjustment of the production line distribution situation.
At operation 307, the adjusting, by the dynamic production control system, the production line body based on the distribution adjustment policy may specifically include reducing, according to the priority order of the production lines, distribution of operation points corresponding to the production lines based on the distribution adjustment policy.
Fig. 4 is a schematic flow chart illustrating an implementation of the dynamic production control method according to still another embodiment of the present invention.
An embodiment of the present invention further provides a dynamic production control method, as shown in fig. 4, the dynamic production control method at least includes: operation 401, collecting image data on a production line; operation 402, performing identification based on the image data to obtain first information and second information; operation 403, acquiring product information on the production line body; operation 404, determining a unit production value as a production line efficiency index according to the first information, the second information and the product information; in operation 405, if the determined unit capacity value exceeds the unit capacity threshold, the first information and the second information are determined as reference distribution information.
In operation 401, the dynamic production control system performs image acquisition on the site of the upper production line body in real time through a camera deployed on the production line body to acquire image data on the production line body.
The production line body at least comprises a plurality of different production lines, and a plurality of operation points are distributed on each production line. For a production line body with manual participation, the operation point can be a worker, a production line node and robot equipment with an automatic production function. Correspondingly, the image data at least comprises images corresponding to the production lines and images corresponding to a plurality of operation points distributed on each production line.
In operation 402, the dynamic production control system identifies the image data of the case by a processor with an image identification function, and identifies first information and second information for characterizing the distribution of the production line body.
The first information is production line distribution information on the production line body, such as a production line A, a production line B and a production line C distributed on a computer production line body. The second information is distribution information of the corresponding operation points of each production line, for example, 30, 40, 50 workers are respectively distributed on the production line a, the production line B and the production line C.
In one example, the processor calculates a time period by using the unit capacity value set by the calculation module, averages the results of the attendance numbers of the different production line workers obtained in the time period, and takes the average as the distribution condition of the production line workers in the time period.
At operation 403, the dynamic production control system obtains product information from the production database in real-time. Wherein the product information may include a product quantity and a product type; the product information may further include the number of semi-finished products corresponding to each production line.
In operation 404, the dynamic production control system determines a unit production value as an indicator of production line efficiency using a setting algorithm based on the first information, the second information, and the product information. Where a unit energy yield value may be generally expressed as a unit human energy yield (UPPH), i.e., the number of products produced per hour by each manufacturing employee.
In one example, the processor calls product information of the production line in a set time period, and calculates a unit production energy value of the production line in the time period according to the set production line worker attendance number of the production line in the time period.
At operation 405, the dynamic production control system determines, via the processor, whether the determined unit capacity value exceeds a unit capacity threshold; if the production line body distribution information exceeds the reference distribution information, the production line body portrait can be constructed by using the first information and the second information for representing the production line body distribution information, and therefore the line body staff allocation scheme of the optimal unit production value can be obtained through intelligent analysis.
In one example, the dynamic production control system first ranks the production volume and the specific capacity value of a certain type of product on a production line over a period of time (e.g., 1 quarter, etc.) based on historical data, selects the distribution of the employees of the production line with the highest specific capacity value, and sets the distribution strategy as a specific capacity value representation of the product of the type in the production line. Furthermore, the representation can be used as a reference for the staff allocation of the production line in the subsequent production, and for the condition that the unit productivity value of the product of the model is higher than that of the production line representation of the product of the model in other production lines, the unit productivity value representation of the production line can be replaced, so that the iterative updating of the allocation scheme is realized.
Similarly, based on the above dynamic production control method, an embodiment of the present invention further provides a computer-readable storage medium, where the storage medium includes a set of computer-executable instructions, and when the instructions are executed, the computer-readable storage medium is configured to perform the following operation steps: operation 101, collecting image data on a production line body; operation 102, performing identification based on the image data to obtain first information and second information; operation 103, acquiring product information on the production line body; operation 104, determining a unit production value as a production line efficiency index according to the first information, the second information and the product information; operation 105, if the determined unit capacity value does not exceed the unit capacity threshold, generating a distribution adjustment policy according to the determined unit capacity value; an operation 106 of adjusting the production line body based on the distribution adjustment strategy.
Further, based on the above dynamic production control method, an embodiment of the present invention further provides a dynamic production control system, as shown in fig. 5, where the system 50 includes: a camera 501 on the production line body for image data on the case production line body; the processor 502 is configured to perform identification based on the image data to obtain first information and second information, where the first information is distribution information of production lines on the production line body, and the second information is distribution information of operation points corresponding to each production line; the product conveying belt 503 is used for acquiring product information on the production line body; the processor 502 is further configured to determine a unit production value as a production line efficiency index according to the first information, the second information, and the product information; the processor 502 is further configured to adjust the policy according to the determined unit capacity value production distribution if the determined unit capacity value does not exceed the unit capacity threshold; a workbench scheduling controller 504 configured to adjust the production line body based on the distribution adjustment policy.
According to an embodiment of the present invention, the product information includes a product number and a product type; a processor 502, specifically configured to determine a product type and a product quantity corresponding to the second information; and determining the unit production value corresponding to the product type according to the first information, the second information, the product type and the product quantity.
According to an embodiment of the present invention, the product information includes the number of semi-finished products corresponding to each production line; a processor 502, specifically configured to determine a quantity of semi-finished products corresponding to the second information; and respectively determining the corresponding sub-unit production value of each production line according to the first information, the second information and the number of semi-finished products.
According to an embodiment of the present invention, the workbench scheduling controller 504 is specifically configured to reduce the distribution of the operation points corresponding to the production line according to the priority order of the production line based on the distribution adjustment policy.
The processor 502 is further configured to determine the first information and the second information as reference distribution information if the determined unit capacity value exceeds a unit capacity threshold value according to an embodiment of the present invention.
Here, it should be noted that: the above description of the embodiment of the dynamic production control system is similar to the description of the method embodiment shown in fig. 1 to 4, and has similar beneficial effects to the method embodiment shown in fig. 1 to 4, and therefore, the description thereof is omitted. For technical details not disclosed in the embodiment of the dynamic production control system of the present invention, please refer to the description of the method embodiment shown in fig. 1 to 4 of the present invention for understanding, and therefore, for brevity, will not be described again.
It should be noted that, in this document, 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, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: various media that can store program codes, such as a removable Memory device, a Read Only Memory (ROM), a magnetic disk, or an optical disk.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a magnetic or optical disk, or other various media that can store program code.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (10)
1. A method for dynamic production control, the method comprising:
collecting image data on a production line body;
identifying based on the image data to obtain first information and second information, wherein the first information is production line distribution information on the production line body, and the second information is distribution information of operation points corresponding to each production line;
acquiring product information on the production line body;
determining a unit production capacity value serving as a production line efficiency index according to the first information, the second information and the product information;
if the determined unit capacity value does not exceed the unit capacity threshold value, generating a distribution adjustment strategy according to the determined unit capacity value;
and adjusting the production line body based on the distribution adjusting strategy.
2. The method of claim 1, wherein the product information includes a product quantity and a product type; determining a unit production capacity value as a production line efficiency index according to the first information, the second information and the product information, including:
determining the product type and the product quantity corresponding to the second information;
and determining the unit production value corresponding to the product type according to the first information, the second information, the product type and the product quantity.
3. The method of claim 1, wherein the product information includes a quantity of semi-finished products corresponding to each production line; determining a unit production capacity value as a production line efficiency index according to the first information, the second information and the product information, including:
determining the number of semi-finished products corresponding to the second information;
and respectively determining the corresponding sub-unit production value of each production line according to the first information, the second information and the number of semi-finished products.
4. The method of any of claims 1 to 3, wherein adjusting the production line body based on the distributed adjustment strategy comprises:
and reducing the distribution of the corresponding operation points of the production line according to the priority sequence of the production line based on the distribution adjustment strategy.
5. The method according to any one of claims 1 to 3, further comprising:
and if the determined unit capacity value exceeds a unit capacity threshold value, determining the first information and the second information as reference distribution information.
6. A dynamic production control system, the system comprising:
the camera on the production line body is used for acquiring image data on the production line body;
the processor is used for identifying based on the image data to obtain first information and second information, wherein the first information is distribution information of production lines on the production line body, and the second information is distribution information of operation points corresponding to the production lines;
the product conveying belt is used for acquiring product information on the production line body;
the processor is further configured to determine a unit production value serving as a production line efficiency index according to the first information, the second information and the product information;
the processor is further configured to generate a distribution adjustment policy according to the determined unit capacity value if the determined unit capacity value does not exceed the unit capacity threshold value;
and the workbench dispatching controller is used for adjusting the production line body based on the distribution adjusting strategy.
7. The system of claim 6, wherein the product information includes a product quantity and a product type;
the processor is specifically configured to determine a product type and a product quantity corresponding to the second information; and determining the unit production value corresponding to the product type according to the first information, the second information, the product type and the product quantity.
8. The system of claim 6, wherein the product information includes a quantity of semi-finished products corresponding to each production line;
the processor is specifically configured to determine the number of semi-finished products corresponding to the second information; and respectively determining the corresponding sub-unit production value of each production line according to the first information, the second information and the number of semi-finished products.
9. The system according to any one of claims 6 to 8,
the processor is further configured to determine the first information and the second information as reference distribution information if the determined unit capacity value exceeds a unit capacity threshold.
10. A computer-readable storage medium comprising a set of computer-executable instructions that, when executed, perform the dynamic production control method of any of claims 1 to 5.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116227887A (en) * | 2023-04-28 | 2023-06-06 | 华至云链科技(苏州)有限公司 | Production line abnormal data processing method and system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060010017A1 (en) * | 2002-06-25 | 2006-01-12 | Volkswagen Aktiengesellschaft | Method and system for simulating order processing processes, corresponding computer program product, and corresponding computer-readable storage medium |
| CN106774187A (en) * | 2015-11-24 | 2017-05-31 | 联合汽车电子有限公司 | The system and method for automatic monitoring production line beat |
| CN110647851A (en) * | 2019-09-27 | 2020-01-03 | 普联技术有限公司 | Production line capacity monitoring method, device and system |
| CN111489079A (en) * | 2020-04-09 | 2020-08-04 | Oppo（重庆）智能科技有限公司 | Capacity bottleneck detection method and device and computer readable storage medium |
| CN112415967A (en) * | 2020-11-17 | 2021-02-26 | 四川大学 | Intelligent management system and method for shoe industry production line |
-
2021
- 2021-03-08 CN CN202110251200.4A patent/CN113009895A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060010017A1 (en) * | 2002-06-25 | 2006-01-12 | Volkswagen Aktiengesellschaft | Method and system for simulating order processing processes, corresponding computer program product, and corresponding computer-readable storage medium |
| CN106774187A (en) * | 2015-11-24 | 2017-05-31 | 联合汽车电子有限公司 | The system and method for automatic monitoring production line beat |
| CN110647851A (en) * | 2019-09-27 | 2020-01-03 | 普联技术有限公司 | Production line capacity monitoring method, device and system |
| CN111489079A (en) * | 2020-04-09 | 2020-08-04 | Oppo（重庆）智能科技有限公司 | Capacity bottleneck detection method and device and computer readable storage medium |
| CN112415967A (en) * | 2020-11-17 | 2021-02-26 | 四川大学 | Intelligent management system and method for shoe industry production line |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116227887A (en) * | 2023-04-28 | 2023-06-06 | 华至云链科技(苏州)有限公司 | Production line abnormal data processing method and system |
| CN116227887B (en) * | 2023-04-28 | 2023-07-07 | 华至云链科技(苏州)有限公司 | Production line abnormal data processing method and system |
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