Production control method and system of lighting lamp

Abstract

The invention discloses an illumination lamp production control method and system, and the method comprises the steps: carrying out the positioning detection of each process node, and carrying out the matching of a corresponding process video based on a process feature corresponding to a process, thereby facilitating the definition of a corresponding process video for each production process, defining an abnormal motion point based on the traversal of a process motion, and carrying out the recognition of the motion abnormal point. Defining production abnormal factors according to the motion abnormal points, matching corresponding optimization means based on the production abnormal factors, and performing real-time optimization; the process time required by each production process is collected, the actual production time of the lighting lamp is constructed based on the plurality of process times, the actual production time of the lighting lamp and the model of the lighting lamp are associated, and the optimized production time is defined according to the actual production time of the lighting lamp and the model of the lighting lamp. And each process node is dynamically controlled based on the optimized production time, so that the optimized production time is conveniently defined, and the production efficiency of the lighting lamp is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of lighting fixtures, and in particular to a production control method and system for lighting fixtures. Background Art

[0002] With the development of science and technology, lighting fixtures are used in people's lives and provide external lighting. Lighting fixtures are mass-produced in factories and undergo multiple processes. In the prior art, each component in the lighting fixture goes through each process in turn and completes the corresponding process actions in each process. However, the lighting fixtures are processed according to preset processes and steps, and there may be production abnormalities in the production process. The optimization of production abnormalities has not been fully considered, and the production efficiency of the lighting fixtures cannot be guaranteed. Summary of the invention

[0003] The purpose of the present invention is to overcome the deficiencies of the prior art. The present invention provides a production control method and system for lighting fixtures, which performs positioning detection on each process node, matches the corresponding process video based on the process characteristics corresponding to the process, so as to define the corresponding process video for each production process, thereby introducing further control of each process video, so as to facilitate further analysis of each process video, and realize real-time monitoring of lighting fixtures during the production process. At the same time, the actual production time of the lighting fixture is constructed based on multiple process times, and the actual production time of the lighting fixture and the model of the lighting fixture are associated. The optimized production time is defined according to the actual production time of the lighting fixture and the model of the lighting fixture. Based on the optimized production time, each process node is dynamically controlled, and further optimization is performed on production abnormal factors, and the corresponding optimization means are output, and then time control is further performed on the optimized production process, so as to define the optimized production time and ensure the production efficiency of the lighting fixture.

[0004] In order to solve the above technical problems, an embodiment of the present invention provides a production control method for lighting fixtures, which is applied to the production control scenario of lighting fixtures; The production control method of the lighting fixture comprises: Collecting production signals of lighting fixtures, and defining corresponding multiple production processes based on signal analysis of the production signals of lighting fixtures; Associate multiple production processes, build a production control table based on multiple production processes, and define corresponding process nodes based on the production control table; Collect each process node and perform positioning detection on each process node to match the corresponding process video based on the process features corresponding to the process; In each process video, the corresponding process clips are collected, and the process actions of the lighting fixtures are defined according to the process clips; Define abnormal action points based on the traversal of process actions, define production abnormal factors based on abnormal action points, match corresponding optimization methods based on production abnormal factors, and perform real-time optimization; Collect the process time required for each production process, and build the actual production time of lighting fixtures based on multiple process times, associate the actual production time of lighting fixtures and the models of lighting fixtures, define the optimized production time according to the actual production time of lighting fixtures and the models of lighting fixtures, and dynamically control each process node based on the optimized production time.

[0005] Optionally, the collecting of production signals of lighting fixtures and defining corresponding multiple production processes based on signal analysis of the production signals of lighting fixtures include: Collect production signals of lighting fixtures; Defining model information of the lighting fixture according to signal analysis of a production signal of the lighting fixture; Matching a corresponding three-dimensional model of the lighting fixture based on the model information of the lighting fixture, and associating the three-dimensional model of the lighting fixture with the corresponding assembly information; A plurality of corresponding production processes are defined according to the three-dimensional model of the lighting fixture and the corresponding assembly information.

[0006] Optionally, associating multiple production processes, building a production control table according to the multiple production processes, and defining corresponding process nodes based on the production control table include: Freeze multiple production processes; Link multiple production processes; Construct a production control table based on multiple production processes and corresponding process sequence information; Divide multiple process spaces according to the production control table, and interact with multiple process spaces; Freeze multiple process spaces; Corresponding process nodes are defined based on multiple process spaces and process states corresponding to the lighting fixtures.

[0007] Optionally, the collecting of each process node and performing positioning detection on each process node to match the corresponding process video based on the process feature corresponding to the process includes: Freeze each process node; Collect each process node; Carry out positioning detection for each process node; In the positioning detection of each process node, the process station corresponding to each process node is located, and the position of each process station is located, and the positioning shooting of multiple cameras is triggered based on the position of each process station; Locate the position of each process station and collect the process features corresponding to the process; mark the process features corresponding to the process, and perform dynamic shooting along the marks of the process features corresponding to the process to collect the corresponding process video.

[0008] Optionally, in each process video, collecting corresponding process segments, and defining process actions of the lighting fixture according to the process segments, includes: In each process video, collect the corresponding process clips; Freeze process fragments; Define action nodes based on process segments and action change points; Multiple action nodes are associated, and multiple process actions of the lighting fixture are defined according to the multiple action nodes.

[0009] Optionally, the abnormal action points are defined based on the traversal of process actions, and production abnormality factors are defined according to the abnormal action points, and corresponding optimization means are matched based on the production abnormality factors, and real-time optimization is performed, including: Freeze multiple process actions; Define process inspection areas according to multiple process actions and corresponding process inspection points; A plurality of abnormal motion points are defined based on the motion detection in the process detection area.

[0010] Optionally, the method of defining abnormal action points based on the traversal of process actions, defining production abnormality factors according to the abnormal action points, matching corresponding optimization means based on the production abnormality factors, and performing real-time optimization also includes: Associate multiple action abnormal points, and define production abnormal factors based on multiple action abnormal points and abnormal factor matching table; Define abnormal levels based on production abnormal factors, and associate multiple action abnormal points, abnormal levels, and optimized matching tables; Based on multiple action abnormal points, abnormal levels and optimization matching tables, corresponding optimization means are matched and real-time optimization is performed.

[0011] Optionally, the process time required for each production process is collected, and the actual production time of the lighting fixture is constructed based on multiple process times, the actual production time of the lighting fixture and the model of the lighting fixture are associated, the optimized production time is defined according to the actual production time of the lighting fixture and the model of the lighting fixture, and each process node is dynamically controlled based on the optimized production time, including: Freeze each process and collect the process time required for each production process; Construct the actual production time of lighting fixtures based on multiple process times; The actual production time of the associated lighting fixtures and the model of the lighting fixtures; Production efficiency is defined based on the actual production time of lighting fixtures and the model of lighting fixtures.

[0012] Optionally, the collecting of process time required for each production process, constructing the actual production time of the lighting fixture based on multiple process times, associating the actual production time of the lighting fixture with the model of the lighting fixture, defining the optimized production time according to the actual production time of the lighting fixture and the model of the lighting fixture, and dynamically controlling each process node based on the optimized production time also includes: Comparing the production efficiency with the previous production efficiency of the lighting fixture, and defining a production efficiency difference; Define the compression time according to the production efficiency difference and the model of lighting fixtures; Define the optimized production time based on the time to be compressed and the actual production time; Each process node is dynamically controlled based on the optimized production time to dynamically control the time required for each process node.

[0013] In addition, an embodiment of the present invention further provides a production control system for lighting fixtures, the production control system for lighting fixtures comprising: A collection module, used for collecting production signals of lighting fixtures, and defining corresponding multiple production processes based on signal analysis of the production signals of lighting fixtures; The process node module is used to associate multiple production processes, build a production control table based on multiple production processes, and define the corresponding process nodes based on the production control table; The process video module is used to collect each process node and perform positioning detection on each process node to match the corresponding process video based on the process features corresponding to the process; The process action module is used to collect corresponding process segments in each process video and define the process actions of the lighting fixtures according to the process segments; The optimization module is used to define abnormal action points based on the traversal of process actions, define production abnormal factors based on abnormal action points, match corresponding optimization methods based on production abnormal factors, and perform real-time optimization; The control module is used to collect the process time required for each production process, and construct the actual production time of the lighting fixture based on multiple process times, associate the actual production time of the lighting fixture and the model of the lighting fixture, define the optimized production time according to the actual production time of the lighting fixture and the model of the lighting fixture, and dynamically control each process node based on the optimized production time.

[0014] In an embodiment of the present invention, through the method in the embodiment of the present invention, production signals of lighting fixtures are collected, and corresponding multiple production processes are defined based on signal analysis of the production signals of the lighting fixtures; multiple production processes are associated, and a production control table is constructed according to the multiple production processes, and corresponding process nodes are defined based on the production control table; each process node is collected, and positioning detection is performed on each process node to match the corresponding process video based on the process characteristics corresponding to the process, so as to define the corresponding process video for each production process, thereby introducing further control of each process video, so as to facilitate further analysis of each process video, and realize real-time monitoring of lighting fixtures during the production process.

[0015] In each process video, the corresponding process fragments are collected, and the process actions of the lighting fixtures are defined according to the process fragments; based on the traversal of the process actions, the action abnormal points are defined, and the production abnormal factors are defined according to the action abnormal points, and the corresponding optimization means are matched based on the production abnormal factors, and real-time optimization is performed; the process time required for each production process is collected, and the actual production time of the lighting fixture is constructed based on multiple process times, and the actual production time of the lighting fixture and the model of the lighting fixture are associated, and the optimized production time is defined according to the actual production time of the lighting fixture and the model of the lighting fixture, and each process node is dynamically controlled based on the optimized production time, and the production abnormal factors are further optimized, and the corresponding optimization means are output, and then the time control is further performed on the optimized production process, so as to define the optimized production time and ensure the production efficiency of the lighting fixture. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 is a flow chart of a production control method for lighting fixtures in an embodiment of the present invention; Figure 2 is a flow chart of S11 in the production control method of lighting fixtures in an embodiment of the present invention; Figure 3 is a flow chart of S12 in the production control method of lighting fixtures in an embodiment of the present invention; Figure 4 is a flow chart of S13 in the production control method of lighting fixtures in an embodiment of the present invention; Figure 5is a flow chart of S14 in the production control method of lighting fixtures in an embodiment of the present invention; Figure 6 is a flow chart of S15 in the production control method of lighting fixtures in an embodiment of the present invention; Figure 7 is a flow chart of S16 in the production control method of lighting fixtures in an embodiment of the present invention; Figure 8 is a schematic diagram of the structure of a production control system for lighting fixtures in an embodiment of the present invention; Fig. 9 The figure is a hardware diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] See also Figures 1 to 9 , a production control method for lighting fixtures, applied to the production control scenario of lighting fixtures; the production control method for lighting fixtures includes: Step S11: collecting production signals of lighting fixtures, and defining corresponding multiple production processes based on signal analysis of the production signals of lighting fixtures; Step S12: Associating multiple production processes, and constructing a production control table according to the multiple production processes, and defining corresponding process nodes based on the production control table; Step S13: collecting each process node, and performing positioning detection on each process node, so as to match the corresponding process video based on the process feature corresponding to the process; Step S14: In each process video, collect the corresponding process clips, and define the process actions of the lighting fixture according to the process clips; Step S15: defining abnormal action points based on the traversal of process actions, defining production abnormality factors based on the abnormal action points, matching corresponding optimization means based on the production abnormality factors, and performing real-time optimization; Step S16: Collect the process time required for each production process, and construct the actual production time of the lighting fixture based on multiple process times, associate the actual production time of the lighting fixture and the model of the lighting fixture, define the optimized production time according to the actual production time of the lighting fixture and the model of the lighting fixture, and dynamically control each process node based on the optimized production time.

[0020] In an embodiment of the present invention, through the method in the embodiment of the present invention, production signals of lighting fixtures are collected, and corresponding multiple production processes are defined based on signal analysis of the production signals of the lighting fixtures; multiple production processes are associated, and a production control table is constructed according to the multiple production processes, and corresponding process nodes are defined based on the production control table; each process node is collected, and positioning detection is performed on each process node to match the corresponding process video based on the process characteristics corresponding to the process, so as to define the corresponding process video for each production process, thereby introducing further control of each process video, so as to facilitate further analysis of each process video, and realize real-time monitoring of lighting fixtures during the production process.

[0021] In each process video, the corresponding process fragments are collected, and the process actions of the lighting fixtures are defined according to the process fragments; based on the traversal of the process actions, the action abnormal points are defined, and the production abnormal factors are defined according to the action abnormal points, and the corresponding optimization means are matched based on the production abnormal factors, and real-time optimization is performed; the process time required for each production process is collected, and the actual production time of the lighting fixture is constructed based on multiple process times, and the actual production time of the lighting fixture and the model of the lighting fixture are associated, and the optimized production time is defined according to the actual production time of the lighting fixture and the model of the lighting fixture, and each process node is dynamically controlled based on the optimized production time, and the production abnormal factors are further optimized, and the corresponding optimization means are output, and then the time control is further performed on the optimized production process, so as to define the optimized production time and ensure the production efficiency of the lighting fixture.

[0022] refer to Figure 2 In step S11, a production signal of the lighting fixture is collected, and a plurality of corresponding production processes are defined based on signal analysis of the production signal of the lighting fixture; In the specific implementation process of the present invention, the specific steps may be: S111: Collect production signals of lighting fixtures; S112: defining model information of the lighting fixture according to signal analysis of a production signal of the lighting fixture; S113: matching a corresponding three-dimensional model of the lighting fixture based on the model information of the lighting fixture, and associating the three-dimensional model of the lighting fixture with the corresponding assembly information; S114: defining a plurality of corresponding production processes according to the three-dimensional model of the lighting fixture and the corresponding assembly information.

[0023] In an embodiment of the present application, production signals of lighting fixtures are collected, and the production signals of lighting fixtures are controlled so as to perform signal analysis on the production signals of lighting fixtures, thereby defining model information of the lighting fixture based on the signal analysis of the production signals of the lighting fixtures, and then freezing the model information of the lighting fixtures to ensure the control of the lighting fixtures.

[0024] Therefore, the corresponding three-dimensional model of the lighting fixture is matched based on the model information of the lighting fixture, so as to introduce the corresponding three-dimensional model of the lighting fixture, and realize further control of the three-dimensional model of the lighting fixture. At the same time, the three-dimensional model of the lighting fixture and the corresponding assembly information are associated to facilitate compatibility of the consideration of the three-dimensional model of the lighting fixture and the corresponding assembly information, and then the corresponding multiple production processes are defined according to the three-dimensional model of the lighting fixture and the corresponding assembly information, thereby ensuring the overall consideration of multiple production processes, so as to facilitate multi-dimensional consideration of the three-dimensional model of the lighting fixture and the corresponding assembly information, thereby ensuring control in multiple dimensions.

[0025] refer to Figure 3 In step S12, multiple production processes are associated, and a production control table is constructed according to the multiple production processes, and corresponding process nodes are defined based on the production control table; In the specific implementation process of the present invention, the specific steps may be: S121: freeze multiple production processes; S122: associate multiple production processes; S123: constructing a production control table based on multiple production processes and corresponding process sequence information; S124: Divide multiple process spaces according to the production control table, and interact with the multiple process spaces; S125: freeze multiple process spaces; S126: Define corresponding process nodes based on the multiple process spaces and process states corresponding to the lighting fixtures.

[0026] In the embodiments of the present application, multiple production processes are frozen so as to introduce multiple production processes, thereby managing and controlling the multiple production processes, and the multiple processes include assembly processes of various components in the lighting fixture.

[0027] At this time, multiple production processes are introduced to facilitate the association of multiple production processes, so as to control multiple production processes, so as to construct a production control table based on multiple production processes and corresponding process sequence information, and thus the production control table is introduced to facilitate further control according to the production control table, thereby realizing further processing of the production control table.

[0028] Therefore, multiple process spaces are divided according to the production control table, and the multiple process spaces are interacted with; multiple process spaces are frozen; the multiple process spaces include the spaces for the assembly processes of various components in lighting fixtures. At the same time, corresponding process nodes are defined based on the multiple process spaces and the process states corresponding to the lighting fixtures, and multiple process nodes are introduced to achieve multi-dimensional control of the multiple process spaces and the process states corresponding to the lighting fixtures.

[0029] refer to Figure 4 , in step S13, each process node is collected, and positioning detection is performed on each process node to match the corresponding process video based on the process feature corresponding to the process; In the specific implementation process of the present invention, the specific steps may be: S131: freeze each process node; S132: Collecting each process node; S133: Perform positioning detection on each process node; S134: in the positioning detection of each process node, the process station corresponding to each process node is positioned, and the position of each process station is positioned, and positioning shooting of multiple cameras is triggered based on the position of each process station; S135: Locate the position of each process station and collect the process features corresponding to the process; mark the process features corresponding to the process, and perform dynamic shooting along the marks of the process features corresponding to the process to collect the corresponding process video.

[0030] In an embodiment of the present application, production signals of lighting fixtures are collected, and corresponding multiple production processes are defined based on signal analysis of the production signals of the lighting fixtures; multiple production processes are associated, and a production control table is constructed based on the multiple production processes, and corresponding process nodes are defined based on the production control table; each process node is collected, and positioning detection is performed on each process node to match the corresponding process video based on the process characteristics corresponding to the process, so as to define the corresponding process video for each production process, thereby introducing further control of each process video, so as to facilitate further analysis of each process video, and realize real-time monitoring of lighting fixtures during the production process.

[0031] At this time, each process node is frozen and controlled. At the same time, each process node is collected to facilitate positioning detection of each process node, so as to carry out targeted control based on the positioning detection of each process node.

[0032] Therefore, in the positioning detection of each process node, the process station corresponding to each process node is located to facilitate control of the process station, thereby locating the position of each process station, and triggering the positioning shooting of multiple cameras based on the position of each process station, thereby realizing dynamic detection of the position of multiple cameras around the corresponding process station.

[0033] Furthermore, the position of each process station is located, and the process features corresponding to the process are collected; the process features corresponding to the process are marked, and dynamic shooting is performed along the marks of the process features corresponding to the process to collect the corresponding process video, thereby introducing the process video and achieving further control of the process video to facilitate detection of the process video.

[0034] refer to Figure 5 , S14: In each process video, collect the corresponding process fragments, and define the process actions of the lighting fixture according to the process fragments; In the specific implementation process of the present invention, the specific steps may be: S141: Collect corresponding process clips in each process video; S142: freeze process segment; S143: defining action nodes according to process segments and action change points; S144: Associating multiple action nodes, and defining multiple process actions of the lighting fixture according to the multiple action nodes.

[0035] In an embodiment of the present application, in each process video, corresponding process segments are collected, and corresponding decomposition is performed on each process video to introduce multiple process segments, thereby dynamically controlling the multiple process segments to facilitate analysis of the multiple process segments.

[0036] Therefore, freeze the process segments; define action nodes according to the process segments and action change points, so as to introduce process segments and action change points, thereby controlling the process segments and action change points, so as to control the action nodes in multiple dimensions, and at the same time, associate multiple action nodes, define multiple process actions of lighting fixtures according to multiple action nodes, so as to introduce multiple process actions of lighting fixtures, perform action recognition on multiple process actions of lighting fixtures, so as to perform action management and control on multiple process actions of lighting fixtures.

[0037] refer to Figure 6 , S15: defining abnormal action points based on the traversal of process actions, defining production abnormal factors based on the abnormal action points, matching corresponding optimization means based on the production abnormal factors, and performing real-time optimization; In the specific implementation process of the present invention, the specific steps may be: S151: freeze multiple process actions; S152: defining a process detection area according to a plurality of process actions and corresponding process detection points; S153: defining a plurality of abnormal motion points based on motion detection in the process detection area; S154: Associating multiple action abnormal points, and defining production abnormal factors according to the multiple action abnormal points and the abnormal factor matching table; S155: defining an abnormality level based on production abnormality factors, and associating multiple action abnormality points, abnormality levels, and an optimized matching table; S156: Match corresponding optimization means based on multiple action abnormal points, abnormal levels and optimization matching table, and perform real-time optimization.

[0038] In an embodiment of the present application, multiple process actions are frozen and introduced, so as to control the multiple process actions, so as to define the process detection area according to the multiple process actions and the corresponding process detection points, so as to perform multi-dimensional control on the multiple process actions and the corresponding process detection points, so as to further control the process detection area and ensure the control of the process detection area.

[0039] At this time, the process detection area is frozen, and motion detection is performed on the process detection area, so as to introduce motion detection in the process detection area, thereby defining multiple motion abnormality points based on the motion detection in the process detection area, and then performing abnormal control on the multiple motion abnormality points, so as to associate the multiple motion abnormality points.

[0040] Therefore, multiple action abnormal points are associated, and production abnormal factors are defined based on multiple action abnormal points and abnormal factor matching tables, so that multiple dimensions can be controlled based on multiple action abnormal points and abnormal factors, thereby performing multi-dimensional control on production abnormal factors, so as to ensure the accuracy of production abnormal factors. At the same time, abnormal levels are defined based on production abnormal factors, and multiple action abnormal points, abnormal levels and optimization matching tables are associated, so as to control multiple action abnormal points, abnormal levels and optimization matching tables, so as to match corresponding optimization means based on multiple action abnormal points, abnormal levels and optimization matching tables, and perform real-time optimization.

[0041] refer to Figure 7 S16: collecting the process time required for each production process, and constructing the actual production time of the lighting fixture based on multiple process times, associating the actual production time of the lighting fixture and the model of the lighting fixture, defining the optimized production time according to the actual production time of the lighting fixture and the model of the lighting fixture, and dynamically controlling each process node based on the optimized production time; In the specific implementation process of the present invention, the specific steps may be: S161: freeze each process and collect the process time required for each production process; S162: constructing actual production time of the lighting fixture based on multiple process times; S163: Associate the actual production time of the lighting fixture and the model of the lighting fixture; S164: Define production efficiency based on actual production time of lighting fixtures and models of lighting fixtures; S165: Compare the production efficiency with the previous production efficiency of the lighting fixture to define a production efficiency difference; S166: defining a compression time according to a production efficiency difference and a model of the lighting fixture; S167: defining an optimized production time according to the time to be compressed and the actual production time; dynamically controlling each process node based on the optimized production time to dynamically control the time required for each process node.

[0042] In the specific implementation process of the present invention, in each process video, the corresponding process fragments are collected, and the process actions of the lighting fixtures are defined according to the process fragments; based on the traversal of the process actions, the action abnormal points are defined, and the production abnormal factors are defined according to the action abnormal points, and the corresponding optimization means are matched based on the production abnormal factors, and real-time optimization is performed; the process time required for each production process is collected, and the actual production time of the lighting fixture is constructed based on multiple process times, the actual production time of the lighting fixture and the model of the lighting fixture are associated, and the optimized production time is defined according to the actual production time of the lighting fixture and the model of the lighting fixture, and each process node is dynamically controlled based on the optimized production time, and the production abnormal factors are further optimized, and the corresponding optimization means are output, and then the time control is further performed on the optimized production process, so as to define the optimized production time and ensure the production efficiency of the lighting fixture.

[0043] At this time, freeze each process and collect the process time required for each production process, so as to control multiple process times, thereby building the actual production time of the lighting fixture based on multiple process times, and then collecting the actual production time of the lighting fixture, thereby realizing the control of the actual production time of the lighting fixture.

[0044] Furthermore, the actual production time of the lighting fixtures and the models of the lighting fixtures are associated, so as to control the actual production time of the lighting fixtures and the models of the lighting fixtures, so as to define the production efficiency according to the actual production time of the lighting fixtures and the models of the lighting fixtures, thereby clarifying the production efficiency and achieving control of the production efficiency.

[0045] Therefore, the production efficiency is compared with the previous production efficiency of the lighting fixture to define the production efficiency difference; the compression time is defined according to the production efficiency difference and the model of the lighting fixture; the optimized production time is defined according to the compression time and the actual production time; each process node is dynamically controlled based on the optimized production time to dynamically control the time required for each process node, and at the same time, each process node is dynamically controlled based on the optimized production time, further optimized for production abnormal factors, and corresponding optimization means are output, and then time control is further performed on the optimized production process to facilitate definition of the optimized production time and ensure the production efficiency of the lighting fixture.

[0046] In an embodiment of the present invention, through the method in the embodiment of the present invention, production signals of lighting fixtures are collected, and corresponding multiple production processes are defined based on signal analysis of the production signals of the lighting fixtures; multiple production processes are associated, and a production control table is constructed according to the multiple production processes, and corresponding process nodes are defined based on the production control table; each process node is collected, and positioning detection is performed on each process node to match the corresponding process video based on the process characteristics corresponding to the process, so as to define the corresponding process video for each production process, thereby introducing further control of each process video, so as to facilitate further analysis of each process video, and realize real-time monitoring of lighting fixtures during the production process.

[0047] In each process video, the corresponding process fragments are collected, and the process actions of the lighting fixtures are defined according to the process fragments; based on the traversal of the process actions, the action abnormal points are defined, and the production abnormal factors are defined according to the action abnormal points, and the corresponding optimization means are matched based on the production abnormal factors, and real-time optimization is performed; the process time required for each production process is collected, and the actual production time of the lighting fixture is constructed based on multiple process times, and the actual production time of the lighting fixture and the model of the lighting fixture are associated, and the optimized production time is defined according to the actual production time of the lighting fixture and the model of the lighting fixture, and each process node is dynamically controlled based on the optimized production time, and the production abnormal factors are further optimized, and the corresponding optimization means are output, and then the time control is further performed on the optimized production process, so as to define the optimized production time and ensure the production efficiency of the lighting fixture.

[0048] See also Figure 8 , Figure 8 It is a schematic diagram of the structural composition of the production control system of the lighting fixture in the embodiment of the present invention.

[0049] like Figure 8 As shown, a production control system for lighting fixtures, the production control system for lighting fixtures comprises: A collection module 21, used for collecting production signals of lighting fixtures, and defining corresponding multiple production processes based on signal analysis of the production signals of lighting fixtures; A process node module 22 is used to associate multiple production processes, build a production control table according to the multiple production processes, and define corresponding process nodes based on the production control table; The process video module 23 is used to collect each process node and perform positioning detection on each process node to match the corresponding process video based on the process feature corresponding to the process; The process action module 24 is used to collect corresponding process segments in each process video and define the process action of the lighting fixture according to the process segments; The optimization module 25 is used to define abnormal action points based on the traversal of process actions, define production abnormality factors based on the abnormal action points, match corresponding optimization means based on the production abnormality factors, and perform real-time optimization; The control module 26 is used to collect the process time required for each production process, and construct the actual production time of the lighting fixture based on multiple process times, associate the actual production time of the lighting fixture and the model of the lighting fixture, define the optimized production time according to the actual production time of the lighting fixture and the model of the lighting fixture, and dynamically control each process node based on the optimized production time.

[0050] See also Fig. 9 , refer to the following Fig. 9 The electronic device 40 according to this embodiment of the present invention will be described. Fig. 9 The electronic device 40 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0051] like Fig. 9 As shown, the electronic device 40 is in the form of a general computing device. The components of the electronic device 40 may include but are not limited to: at least one processing unit 41, at least one storage unit 42, and a bus 43 connecting different system components (including the storage unit 42 and the processing unit 41).

[0052] The storage unit stores program codes, which can be executed by the processing unit 41, so that the processing unit 41 executes the steps according to various exemplary embodiments of the present invention described in the above “Embodiment Method” section of this specification.

[0053] The storage unit 42 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 421 and / or a cache memory unit 422 , and may further include a read-only memory unit (ROM) 423 .

[0054] The storage unit 42 may also include a program / utility 424 having a set (at least one) of control modules 425, such control modules 425 including but not limited to: an operating system, one or more application programs, other control modules, and program data, each of which or some combination may include the implementation of a network environment.

[0055] Bus 43 may represent one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0056] The electronic device 40 may also communicate with one or more external devices (e.g., keyboards, pointing devices, Bluetooth devices, etc.), one or more devices that enable a user to interact with the electronic device 40, and / or any device that enables the electronic device 40 to communicate with one or more other computing devices (e.g., routers, modems, etc.). Such communication may be performed via an input / output (I / O) interface 44. Furthermore, the electronic device 40 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 45. Fig. 9 As shown, the network adapter 45 communicates with other modules of the electronic device 40 via the bus 43. It should be understood that although Fig. 9 Not shown, other hardware and / or software modules may be used in conjunction with the electronic device 40, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup planning systems.

[0057] Through the description of the above implementation, it is easy for those skilled in the art to understand that the example implementation described here can be implemented by software, or by software combined with necessary hardware. Therefore, the technical solution according to the implementation of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes a number of instructions to enable a computing device (which can be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the implementation of the present disclosure.

[0058] Those skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, and the storage medium can include: a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc. In addition, it stores computer program instructions, and when the computer program instructions are executed by a computer, the computer executes the above method.

[0059] In addition, the above is a detailed introduction to the production control method and system of lighting fixtures provided in the embodiments of the present invention. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the ideas of the present invention, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A production control method for lighting fixtures, characterized in that: Applied to production control scenarios of lighting fixtures; The production control method of the lighting fixture comprises: Collecting production signals of lighting fixtures, and defining corresponding multiple production processes based on signal analysis of the production signals of lighting fixtures; Associate multiple production processes, build a production control table based on multiple production processes, and define corresponding process nodes based on the production control table; Collect each process node and perform positioning detection on each process node to match the corresponding process video based on the process features corresponding to the process; In each process video, the corresponding process clips are collected, and the process actions of the lighting fixtures are defined according to the process clips; Define abnormal action points based on the traversal of process actions, define production abnormal factors based on abnormal action points, match corresponding optimization methods based on production abnormal factors, and perform real-time optimization; Collect the process time required for each production process, and build the actual production time of lighting fixtures based on multiple process times, associate the actual production time of lighting fixtures and the models of lighting fixtures, define the optimized production time according to the actual production time of lighting fixtures and the models of lighting fixtures, and dynamically control each process node based on the optimized production time.

2. The production control method of lighting fixtures according to claim 1, characterized in that: The collecting of the production signal of the lighting fixture and defining a plurality of corresponding production processes based on the signal analysis of the production signal of the lighting fixture include: Collect production signals of lighting fixtures; Defining model information of the lighting fixture according to signal analysis of a production signal of the lighting fixture; Matching a corresponding three-dimensional model of the lighting fixture based on the model information of the lighting fixture, and associating the three-dimensional model of the lighting fixture with the corresponding assembly information; A plurality of corresponding production processes are defined according to the three-dimensional model of the lighting fixture and the corresponding assembly information.

3. The production control method of lighting fixtures according to claim 2, characterized in that: The method of associating multiple production processes, constructing a production control table according to the multiple production processes, and defining corresponding process nodes based on the production control table includes: Freeze multiple production processes; Link multiple production processes; Construct a production control table based on multiple production processes and corresponding process sequence information; Divide multiple process spaces according to the production control table, and interact with multiple process spaces; Freeze multiple process spaces; Corresponding process nodes are defined based on multiple process spaces and process states corresponding to the lighting fixtures.

4. The production control method of lighting fixtures according to claim 3, characterized in that: The collecting of each process node and performing positioning detection on each process node to match the corresponding process video based on the process feature corresponding to the process includes: Freeze each process node; Collect each process node; Carry out positioning detection for each process node; In the positioning detection of each process node, the process station corresponding to each process node is located, and the position of each process station is located, and the positioning shooting of multiple cameras is triggered based on the position of each process station; Locate the position of each process station and collect the process features corresponding to the process; mark the process features corresponding to the process, and perform dynamic shooting along the marks of the process features corresponding to the process to collect the corresponding process video.

5. The production control method of lighting fixtures according to claim 4, characterized in that: In each process video, the corresponding process clips are collected, and the process actions of the lighting fixture are defined according to the process clips, including: In each process video, collect the corresponding process clips; Freeze process fragments; Define action nodes based on process segments and action change points; Multiple action nodes are associated, and multiple process actions of the lighting fixture are defined according to the multiple action nodes.

6. The production control method of lighting fixtures according to claim 5, characterized in that: The abnormal action points are defined based on the traversal of the process actions, and the production abnormal factors are defined according to the abnormal action points. The corresponding optimization means are matched based on the production abnormal factors, and real-time optimization is performed, including: Freeze multiple process actions; Define process inspection areas according to multiple process actions and corresponding process inspection points; A plurality of abnormal motion points are defined based on the motion detection in the process detection area.

7. The production control method of lighting fixtures according to claim 6, characterized in that: The method further includes defining abnormal action points based on the traversal of process actions, defining production abnormality factors based on the abnormal action points, matching corresponding optimization means based on the production abnormality factors, and performing real-time optimization. Associate multiple action abnormal points, and define production abnormal factors based on multiple action abnormal points and abnormal factor matching table; Define abnormal levels based on production abnormal factors, and associate multiple action abnormal points, abnormal levels, and optimized matching tables; Based on multiple action abnormal points, abnormal levels and optimization matching tables, corresponding optimization means are matched and real-time optimization is performed.

8. The production control method of lighting fixtures according to claim 7, characterized in that: The collecting of the process time required for each production process, constructing the actual production time of the lighting fixture based on the multiple process times, associating the actual production time of the lighting fixture with the model of the lighting fixture, defining the optimized production time according to the actual production time of the lighting fixture and the model of the lighting fixture, and dynamically controlling each process node based on the optimized production time, includes: Freeze each process and collect the process time required for each production process; Construct the actual production time of lighting fixtures based on multiple process times; The actual production time of the associated lighting fixtures and the model of the lighting fixtures; Production efficiency is defined based on the actual production time of lighting fixtures and the model of lighting fixtures.

9. The production control method of lighting fixtures according to claim 8, characterized in that: The collecting of the process time required for each production process, constructing the actual production time of the lighting fixture based on the multiple process times, associating the actual production time of the lighting fixture with the model of the lighting fixture, defining the optimized production time according to the actual production time of the lighting fixture and the model of the lighting fixture, and dynamically controlling each process node based on the optimized production time, further includes: Comparing the production efficiency with the previous production efficiency of the lighting fixture, and defining a production efficiency difference; Define the compression time according to the production efficiency difference and the model of lighting fixtures; Define the optimized production time based on the time to be compressed and the actual production time; Each process node is dynamically controlled based on the optimized production time to dynamically control the time required for each process node.

10. A production control system for lighting fixtures, characterized in that: The lighting fixture production control system is applied to the lighting fixture production control method as claimed in any one of claims 1 to 9, and the lighting fixture production control system comprises: A collection module, used for collecting production signals of lighting fixtures, and defining corresponding multiple production processes based on signal analysis of the production signals of lighting fixtures; The process node module is used to associate multiple production processes, build a production control table based on multiple production processes, and define the corresponding process nodes based on the production control table; The process video module is used to collect each process node and perform positioning detection on each process node to match the corresponding process video based on the process features corresponding to the process; The process action module is used to collect corresponding process segments in each process video and define the process actions of the lighting fixtures according to the process segments; The optimization module is used to define abnormal action points based on the traversal of process actions, define production abnormal factors based on abnormal action points, match corresponding optimization methods based on production abnormal factors, and perform real-time optimization; The control module is used to collect the process time required for each production process, and construct the actual production time of the lighting fixture based on multiple process times, associate the actual production time of the lighting fixture and the model of the lighting fixture, define the optimized production time according to the actual production time of the lighting fixture and the model of the lighting fixture, and dynamically control each process node based on the optimized production time.

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