CN112308241A - Robot production management system, method, device and storage medium - Google Patents
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Abstract
The invention discloses a robot production management system, a method, equipment and a storage medium, wherein the robot production management system comprises an information module, a checking module, a review module, a processing module, an after-sale module and a statistical analysis module; the information module is used for recording detailed information of the robot; the inspection module is used for inspecting the robot to generate an inspection result and a problem description file of the robot; the evaluation module is used for recording an evaluation conclusion of the robot generated according to the inspection result and the problem description file; the processing module is used for recording and processing the robot according to the evaluation conclusion; the information module, the verification module, the review module, the processing module, the after-sale module and the statistical analysis module are related through the unique identification of the robot. The invention also discloses a robot production management method, equipment and a storage medium. The robot life cycle tracing and the auxiliary decision making according to the recorded information are realized.
Description
Technical Field
The present invention relates to the field of product production process management technologies, and in particular, to a system, a method, a device, and a storage medium for managing robot production.
Background
With the aggravation of global market competition, the life cycle of products is obviously shortened, new product iteration is accelerated, and the competitiveness of the products can be ensured only by rapidly and reasonably managing and using information in each stage of the products.
In the field of robots, product information management methods can only record information of a robot at a certain stage, and in the method, the information of the produced robot is recorded too frequently, so that the whole life cycle of the robot cannot be traced and an auxiliary decision cannot be made according to the recorded information.
Disclosure of Invention
The invention mainly aims to provide a robot production management system, a method, equipment and a storage medium, and aims to solve the technical problem that data tracing and decision assistance cannot be performed on the information recording surface of the existing production management method.
In order to achieve the purpose, the invention provides a robot production management system which comprises an information module, a checking module, a review module, a processing module, an after-sale module and a statistical analysis module;
the information module is used for recording detailed information of the robot;
the inspection module is used for recording inspection results and problem description files of the robot by inspecting the robot;
the review module is used for recording a review conclusion of the robot generated according to the inspection result and the problem description file;
the processing module is used for recording a processing result formed by processing the robot according to the review conclusion;
the after-sale module is used for recording after-sale information of the robot;
the statistical analysis module is used for counting the detailed information, the processing result and the after-sales information of the robot and analyzing to generate an analysis result;
the information module, the verification module, the review module, the processing module, the after-sales module and the statistical analysis module are related through the unique identifier of the robot.
Optionally, the after-sales module comprises a return inspection sub-module, a maintenance sub-module and a return sub-module;
the return examination sub-module is used for recording the return request of the robot and examining the return request;
the maintenance sub-module is used for recording maintenance information of the robot;
and the goods returning submodule is used for recording the goods returning information of the robot.
The invention also provides a robot production management method, which comprises the following steps:
the method comprises the steps of inspecting a robot to generate an inspection result and a problem description file of the robot;
the robot is reviewed based on the inspection result and the problem description file to generate a review conclusion; and processing the robot according to the review conclusion.
Optionally, the inspection result is a good product or a defective product, and the step of reviewing the robot based on the inspection result and the problem description file to generate a review conclusion includes:
if the inspection result is a defective product, determining a review mechanism according to the problem description file;
receiving at least one review comment by the review authority for the robot based on the problem description question;
and generating a review conclusion of the robot according to the review opinions.
Optionally, when there are a plurality of the review opinions, each review opinion has its own priority;
the step of generating a review conclusion of the robot according to the review opinions comprises the following steps:
when the number of the review opinions is 1, taking the review opinions as review conclusions; or the like, or, alternatively,
and when the number of the review opinions is more than one, taking the review opinion with the highest priority as a review conclusion.
Optionally, the step of inspecting the robot and generating the inspection result and the problem description file of the robot includes:
inspecting the robot, wherein the inspection comprises appearance inspection and running state inspection;
and when at least one of the appearance inspection and the running state inspection does not meet the preset requirement, the inspection result of the robot is a defective product, and a problem description file is generated.
Optionally, after the step of inspecting the robot and generating the inspection result and the problem description file of the robot, the method includes:
determining a fault component according to the problem description file and counting the fault rate of the fault component;
after the step of processing the robot according to the review conclusion, the method comprises the following steps:
and when the fault rate of the component exceeds a preset threshold value, generating early warning information.
Optionally, the review conclusion is classified as authorized, repaired or scrapped, and the step of processing the robot according to the review conclusion includes:
when the review conclusion is a license, warehousing the robot for processing;
when the review conclusion is the return working hour, the robot is maintained;
and when the review conclusion is scrapped, disassembling and destroying the robot.
In addition, in order to achieve the purpose, the invention also provides robot production management equipment;
the robot production management apparatus includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein:
the computer program, when executed by the processor, implements the steps of the robot production management method as described above.
In addition, to achieve the above object, the present invention also provides a computer storage medium;
the computer storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the robot production management method as described above.
The embodiment of the invention provides a robot production management system, a method, equipment and a storage medium. The information module, the verification module, the review module and the after-sales module are related through the unique identification of the robot. According to the invention, the data from production to after-sale of the robot are comprehensively recorded and integrated, wherein the review module is used for recording the data recorded by the inspection module for decision making, so that the full life cycle of the robot is traced and an auxiliary decision is made according to the recorded information.
Drawings
FIG. 1 is a schematic diagram of an apparatus in a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a robot production management system according to the present invention;
FIG. 3 is a schematic flow chart of a third embodiment of the present invention;
FIG. 4 is a detailed flowchart of step S10 according to the third embodiment of the present invention;
FIG. 5 is a detailed flow chart of step S20 according to the third embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention provides a robot production management system, which comprises an information module, a checking module, a review module, a processing module, an after-sale module and a statistical analysis module; the information module is used for recording detailed information of the robot; the inspection module is used for recording inspection results and problem description files of the robot by inspecting the robot; the review module is used for recording a review conclusion of the robot generated according to the inspection result and the problem description file; the processing module is used for recording a processing result formed by processing the robot according to the review conclusion; the after-sale module is used for recording after-sale information of the robot; the statistical analysis module is used for counting the detailed information, the processing result and the after-sales information of the robot and analyzing to generate an analysis result; the information module, the verification module, the review module, the processing module, the after-sales module and the statistical analysis module are related through the unique identifier of the robot. According to the invention, the data from production to after-sale of the robot is comprehensively recorded and integrated, and the review module is used for recording the data recorded by the inspection module for decision making, so that the full life cycle of the robot is traced and an auxiliary decision is made according to the recorded information.
As shown in fig. 1, fig. 1 is a schematic structural diagram of a terminal (also called a robot production management device, where the robot production management device may be formed by a separate robot production management apparatus, or may be formed by combining another apparatus with the robot production management apparatus) in a hardware operating environment according to an embodiment of the present invention.
The terminal of the embodiment of the invention can be a fixed terminal or a mobile terminal, such as a computer or a management server.
As shown in fig. 1, the terminal may include: a processor 1001, such as a Central Processing Unit (CPU), a network interface 1004, a user interface 1003, a memory 1005, and a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a WIreless interface (e.g., WIFI interface, WIreless FIdelity, WIFI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the terminal structure shown in fig. 1 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, the computer software product is stored in a storage medium (storage medium: also called computer storage medium, computer medium, readable storage medium, computer readable storage medium, or direct storage medium, etc., and the storage medium may be a non-volatile readable storage medium, such as RAM, magnetic disk, optical disk), and includes several instructions for enabling a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the method according to the embodiments of the present invention, and a memory 1005 as a computer storage medium may include an operating system, a network communication module, a user interface module, and a computer program.
In the terminal shown in fig. 1, the network interface 1004 is mainly used for connecting to a backend server and performing data communication with the backend server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; the processor 1001 may be configured to call the computer program stored in the memory 1005 and execute the steps in the robot production management system provided by the following embodiments of the present invention.
Referring to fig. 2, in a first embodiment of the present invention, there is provided a robot production management system including an information module 10, a checking module 20, a review module 30, a processing module 40, an after-sales module 50, and a statistical analysis module 60;
the information module is used for recording detailed information of the robot;
the inspection module is used for recording inspection results and problem description files of the robot by inspecting the robot;
the review module is used for recording a review conclusion of the robot generated according to the inspection result and the problem description file;
the processing module is used for recording a processing result formed by processing the robot according to the review conclusion;
the after-sale module is used for recording after-sale information of the robot;
the statistical analysis module is used for counting the detailed information, the processing result and the after-sales information of the robot and analyzing to generate an analysis result;
the information module, the verification module, the review module, the processing module, the after-sales module and the statistical analysis module are related through the unique identifier of the robot.
In the embodiment of the invention, the information module is used for recording the detailed information of the produced robot, and the detailed information can be collected on a production line or collected by a worker on a finished robot product after production is finished. It can be understood that products such as robots and smart phones may be formed by combining a plurality of existing components, and in order to implement information management and control and trace back on product components, the components of the robot may be recorded in a recording manner using RFID (Radio Frequency Identification) and two-dimensional code technology. The detailed information includes at least one of hardware information, software information, series information, and model information, where the hardware information is information of the aforementioned components constituting the robot product, the software information is software information such as a software version that the robot runs, and the series information and the model information are recorded as conventional information and may be used for subsequent statistics of information of the series or the model.
For example, a hardware component of an a-100 series i-model robot includes a battery, a screen, a left control box, a right control box, a left radar, and a right radar component, each component has a Serial Number (SN), a software version V1.0 is adopted, each robot product has a unique complete machine SN, the complete machine SN is associated with each component SN, and a subsequent worker can query and obtain SN information of the robot component according to the complete machine SN.
The inspection module receives an inspection result of a worker on the robot which completes production, the worker inspects the robot which completes production according to a preset rule, if the inspection result meets the preset rule, the inspection result is recorded as a good product, otherwise, the inspection result is recorded as a defective product, and when the inspection result is the defective product, the worker further acquires a problem description file of the defective product and uploads the problem description file to a system, wherein the problem description file is a file which can represent problems existing in the defective product, such as pictures, videos and the like.
The review module comprises a plurality of review mechanisms, wherein the review mechanisms refer to research and development departments, sales departments, operation and maintenance departments and the like, and give review opinions according to the inspection results and the problem description files, wherein the review opinions are classified into a plurality of grades, such as authorization, rework and scrap, when the review opinions of the plurality of review mechanisms are not uniform, in order to ensure the product quality, the highest priority in the plurality of review opinions is taken as the final review conclusion, for example, when 5 review mechanisms review together, 4 mechanisms give the rework opinions, 1 mechanism gives the scrap opinions, and at the moment, the rework opinions are taken as the final review conclusion.
The processing module processes the robot according to the review conclusion, as described in the previous embodiment, the review conclusion can be divided into three types of scrapping, reworking and licensing, and correspondingly, three corresponding processing modes are provided for the three review conclusion processing modules, for example, corresponding scrapping is destroyed/disassembled, corresponding reworking is maintained, and corresponding licensing is stored, so that product outflow with serious flaws can be avoided, product parts with serious flaws can be recycled after disassembling, flaws which do not affect normal use of products can be repaired for re-warehousing, and qualified products are directly added into stock for circulation after warehousing. Therefore, the processing modes of the products are various, and the processing modes are determined by the review conclusion, the review process can be performed by a single department, or multiple departments, and also determined by the inspection result and the problem description problem generated by the inspection module, if the inspection result is a defective product, and the problem description file is attached with a picture with slightly damaged product appearance, the slight problem can be reviewed by a single department such as a sales department, and if the inspection result is a defective product, the problem description problem is attached with a video that the product does not operate according to a preset program, the problem can be reviewed by an operation and maintenance department behind a research and development department. Further, the staff member can record and upload the processing process and the processing result of the product after the evaluation, so as to track the progress of the matters.
The after-sale module is used for recording information generated after the robot product is sold, binding the customer complaint content with the complete machine SN of the robot for recording if a manufacturer receives the customer complaint, and binding the processing record with the complete machine SN of the robot for recording if a return flow such as maintenance, return and the like is generated.
The statistical analysis module is configured to count the relevant data of the robot and analyze the data to generate an analysis result, as described in the foregoing embodiment, the full life cycle of the robot from production to sale is recorded in each module of the robot production management system, a worker may limit information such as time, a product model, a component SN, and a complete machine SN, and perform statistical analysis on data of a product, such as information on yield and maintenance rate of a certain product series/product model, or maintenance rate of a certain component of a product of a certain product series/product model, or other deeper analysis results made based on the relevant data of the robot. It can be understood that the analysis is beneficial for workers to find out and improve problems existing in the production process, for example, in the after-sale process, the battery repair rate of the robot with the type I is counted to exceed a preset threshold value, or the battery endurance is not ideal enough when receiving more customers, the battery improvement requirement is positioned through the after-sale module in the life cycle, and then the research and development department and the purchasing department are guided to improve when selecting the battery component.
The information module, the inspection module, the review module, the after-sale module and additional modules added in subsequent embodiments are all related through a unique identifier of the robot, the unique identifier is the complete machine SN of the robot, and based on the unique identifier, a user can further obtain the information of the full life cycle of the robot through the complete machine SN of the robot. The information module, the inspection module, the review module, the after-sale module and the additional modules newly added in the subsequent embodiments are respectively provided with access authorities, the access authorities can be subdivided into authorities such as checking, modifying and exporting, and further data isolation among departments is achieved.
In the embodiment, the data from production to after-sale of the robot is comprehensively recorded and integrated, the review module makes a decision through the data recorded by the inspection module, the full life cycle of the robot is traced, and an auxiliary decision is made according to the recorded information, and meanwhile, the authorities of the modules are different, so that the possibility that the data of the modules are falsified is eliminated, and the accuracy of the data is guaranteed.
Further, on the basis of the above embodiment of the present invention, a second embodiment of the robot production management system of the present invention is further provided, which is different from the first embodiment of the present invention in that an after-sale module of the robot production management system includes a return inspection sub-module, a maintenance sub-module, and a return sub-module;
the return examination sub-module is used for recording the return request of the robot and examining the return request;
the maintenance sub-module is used for recording maintenance information of the robot;
and the goods returning submodule is used for recording the goods returning information of the robot.
In this embodiment, the after-sales module may be further subdivided into a return review sub-module, a maintenance sub-module, and a return sub-module. It can be understood that, after the robot product is delivered to the user, if the customer is not satisfied with the product in the using process, the product will be returned, at this time, the user is required to submit a return request, the request at least includes the complete machine SN of the return product, and information such as problem description and warranty certificate of the user can also be added, the return examination submodule is used for further analyzing and judging the return product, if the return request of the user is in accordance with the regulations, if the warranty certificate is in the validity period, and further processing results such as return payment, maintenance, product replacement, and the like are given, based on the return examination submodule, the record of the feedback information of the user can be realized, the request of the user is shunted, and meanwhile, the loss brought by the unqualified return product can also be avoided. And the maintenance sub-module records maintenance information of the robot by a user, and if the user returns the robot to a maintenance point for maintenance, maintenance staff perfect the maintenance information based on the complete machine SN of the robot, such as maintenance date, maintenance store, maintenance reason, maintenance measures and the like. And after the returned product is sent back by the user, the returned product information, such as whether the returned product is disassembled, the returned product reason, the returned product position and the like, is perfected by the returned worker based on the complete machine SN.
In the embodiment, the goods returning module in the robot production management system is divided into the goods returning examination sub-module, the maintenance sub-module and the goods returning sub-module, so that after-sale response of a customer is improved, and fine management of after-sale information is realized.
Referring to fig. 3, a third embodiment of the present invention provides a robot production management method, which is applied to the robot production management system in any of the foregoing embodiments, and the robot production management method includes:
and step S10, the robot is inspected, and the inspection result and the problem description file of the robot are generated.
The robot production management system checks the robot, generates a check result and a problem description file of the robot, and explains the robot production management system in the first and second implementations, and both the embodiment and the subsequent embodiments are explained based on the robot production management system.
Specifically, referring to FIG. 4, step S10 may include steps S11-S12;
and step S11, performing and checking on the robot, wherein the checking comprises appearance checking and running state checking.
And step S12, when at least one of the appearance inspection and the running state inspection does not meet the preset requirement, the inspection result of the robot is a defective product, and a problem description file is generated.
And the robot production management system carries out and checks on the robot, and the check comprises appearance check and running state check. And when at least one of the appearance inspection and the running state inspection does not meet the preset requirement, the inspection result of the robot is a defective product, and the robot production management system generates a problem description file. And (3) the staff checks the produced robot according to a preset rule, if the preset rule is met, the checking result is recorded as a good product, otherwise, the checking result is recorded as a defective product, and when the checking result is the defective product, the staff further acquires a problem description file of the defective product and uploads the problem description file to a system, wherein the problem description file is a picture, a video and other files capable of representing the problems existing in the defective product.
And step S20, the robot is reviewed based on the inspection result and the problem description file to generate a review conclusion.
And the robot production management system reviews the robot based on the inspection result and the problem description file to generate a review conclusion.
Specifically, the inspection result is classified as good or defective, and referring to fig. 5, the step S20 may include steps S21-S23;
and step S21, if the inspection result is a defective product, determining a review mechanism according to the problem description file.
And step S22, receiving at least one review opinion of the robot by the review organization based on the problem description problem.
And step S23, generating a review conclusion of the robot according to the review opinions.
If the inspection result is a defective product, the robot production management system determines a review mechanism according to the problem description file; the robot production management system receives at least one review opinion of the review organization on the robot based on the problem description problem; and the robot production management system generates a review conclusion of the robot according to the review opinions. The review organization refers to, for example, a research and development department, a sales department, an operation and maintenance department, and the like, and gives the review opinions according to the inspection results and the problem description files, wherein the review opinions have multiple grades, such as authorization, rework and scrap, each time the review organization participates in the review organization, the review organization can generate the review opinions, and therefore, the number of the review opinions can be multiple or single.
Specifically, each of the review opinions has a respective priority when the review opinions are plural, and the step S23 may include the steps a1-a 2;
step a1, when the number of the review opinions is 1, the review opinions are taken as the review conclusion.
And a step a2, when the number of the review opinions is multiple, taking the review opinion with the highest priority as the review conclusion.
When the number of the review opinions is 1, the robot production management system takes the review opinions as review conclusions; or when the number of the review opinions is multiple, the robot production management system takes the review opinion with the highest priority as a review conclusion; that is, when the review opinions of the plurality of review organizations are not uniform, the lowest review opinion among the plurality of review opinions is regarded as the final review conclusion for ensuring the product quality, and as described above, the review opinions are classified into authorization, rework and scrap, wherein the review opinions are ranked according to the priority from high to low according to the number of the review opinions respectively related to authorization, rework and scrap, for example, when 5 review organizations review together, 4 organizations give the opinion of "rework", 1 organization gives the opinion of "scrap", the priority at this time is "rework", and the "rework" with the highest priority is regarded as the final review conclusion.
And step S30, processing the robot according to the review conclusion.
And the robot production management system processes the robot according to the review conclusion.
Specifically, the review conclusion is classified as authorized, repaired and scrapped, and the step S30 includes steps b1-b 3;
step b1, when the review conclusion is a privilege, warehousing the robot for processing;
step b2, when the review conclusion is returning, the robot is maintained;
and b3, disassembling and destroying the robot when the review conclusion is scrap.
When the evaluation conclusion is a license, the robot production management system puts the robot into a warehouse for processing; when the review conclusion is rework, the robot production management system carries out maintenance processing on the robot; when the review conclusion is scrapped, the robot production management system disassembles and destroys the robot,
the assessment conclusion can be divided into three types of scrapping, reworking and concessional, three corresponding processing modes are provided for the three assessment conclusions correspondingly, for example, corresponding scrapping is destroyed/disassembled, corresponding reworking is maintained, and corresponding concessional is stored, the product with serious flaws can be prevented from flowing out by destroying, the product parts with serious flaws can be recycled by disassembling, the flaws which do not affect the normal use of the product can be repaired by maintaining, the products can be stored again, and qualified products can be directly added into the stock for circulation when the products are stored. Therefore, the processing modes of the products are various, and the processing modes are determined by the review conclusion, the review process can be performed by a single department, or multiple departments, and also determined by the inspection result and the problem description problem generated by the inspection module, if the inspection result is a defective product, and the problem description file is attached with a picture with slightly damaged product appearance, the slight problem can be reviewed by a single department such as a sales department, and if the inspection result is a defective product, the problem description problem is attached with a video that the product does not operate according to a preset program, the problem can be reviewed by an operation and maintenance department behind a research and development department. Further, the staff member can record and upload the processing process and the processing result of the product after the evaluation, so as to track the progress of the matters.
In the embodiment, the robot is inspected, the defective products determined by the inspection are evaluated, and the defective products are correspondingly processed according to the evaluation conclusion, so that the quality of the product is effectively controlled, the recycling of resources is improved, and the production cost is reduced.
Further, on the basis of the above embodiment of the present invention, a fourth embodiment of the present invention is further provided, which further includes, after step S10, step c 1:
and c1, determining the fault component according to the problem description file and counting the fault rate of the fault component.
Step c2 is also included after step S30:
and c2, when the failure rate of the component exceeds a preset threshold value, generating early warning information.
The robot production management system determines a fault component according to the problem description file and counts the fault rate of the fault component; and when the fault rate of the component exceeds a preset threshold value, the robot production management system generates early warning information. As described in the foregoing embodiment, the robot is composed of a plurality of components, such as a battery, a screen, a left control box, a right control box, a left radar, a right radar, and the like, and after the components are determined by the problem description file, statistics is performed on the components that have faults, for example, in 50 samples of spot inspection, when 5 batteries have a problem, the battery fault rate is 10%, and exceeds a preset threshold value of 9%, the problem of the batch of batteries is reflected, and in order to prevent loss caused by continuous production, warning information is generated.
In the embodiment, the fault rate of the fault component is counted, and early warning is performed after the fault rate reaches a preset threshold value, so that the situation that loss is caused in production because some component has flaws and is still applied to production is avoided in the production flow.
In addition, an embodiment of the present invention further provides a robot production management device, where the robot production management device includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein:
when executed by the processor, the computer program implements the operations in the robot production management method provided by the above embodiments.
In addition, the embodiment of the invention also provides a computer storage medium.
The computer storage medium stores thereon a computer program, and the computer program, when executed by a processor, implements operations in the robot production management method provided by the above embodiments.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity/action/object from another entity/action/object without necessarily requiring or implying any actual such relationship or order between such entities/actions/objects; the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system 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 system. 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 system that comprises the element.
For the apparatus embodiment, since it is substantially similar to the method embodiment, it is described relatively simply, and reference may be made to some descriptions of the method embodiment for relevant points. The above-described apparatus embodiments are merely illustrative, in that elements described as separate components may or may not be physically separate. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the invention. One of ordinary skill in the art can understand and implement it without inventive effort.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes several instructions for enabling a terminal device (which may be a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. The robot production management system is characterized by comprising an information module, a checking module, a review module, a processing module, an after-sale module and a statistical analysis module;
the information module is used for recording detailed information of the robot;
the inspection module is used for recording inspection results and problem description files of the robot by inspecting the robot;
the review module is used for recording a review conclusion of the robot generated according to the inspection result and the problem description file;
the processing module is used for recording a processing result formed by processing the robot according to the review conclusion;
the after-sale module is used for recording after-sale information of the robot;
the statistical analysis module is used for counting the detailed information, the processing result and the after-sales information of the robot and analyzing to generate an analysis result;
the information module, the verification module, the review module, the processing module, the after-sales module and the statistical analysis module are related through the unique identifier of the robot.
2. The robotic production management system according to claim 1, wherein the after-market module includes a return review sub-module, a maintenance sub-module, and a return sub-module;
the return examination sub-module is used for recording the return request of the robot and examining the return request;
the maintenance sub-module is used for recording maintenance information of the robot;
and the goods returning submodule is used for recording the goods returning information of the robot.
3. A robot production management method, comprising:
the method comprises the steps of inspecting a robot to generate an inspection result and a problem description file of the robot;
the robot is reviewed based on the inspection result and the problem description file to generate a review conclusion;
and processing the robot according to the review conclusion.
4. The robot production management method according to claim 3, wherein the inspection result is a good product or a bad product, and the step of reviewing the robot based on the inspection result and the problem description file to generate a review conclusion comprises:
if the inspection result is a defective product, determining a review mechanism according to the problem description file;
receiving at least one review comment by the review authority for the robot based on the problem description question;
and generating a review conclusion of the robot according to the review opinions.
5. The robot production management method according to claim 4, wherein when there are a plurality of the review opinions, each review opinion has a priority;
the step of generating a review conclusion of the robot according to the review opinions comprises the following steps:
when the number of the review opinions is 1, taking the review opinions as review conclusions; or the like, or, alternatively,
and when the number of the review opinions is more than one, taking the review opinion with the highest priority as a review conclusion.
6. A robot production management method according to any of claims 3-4, wherein the step of inspecting the robot to generate an inspection result and a problem description file of the robot comprises:
inspecting the robot, wherein the inspection comprises appearance inspection and running state inspection;
and when at least one of the appearance inspection and the running state inspection does not meet the preset requirement, the inspection result of the robot is a defective product, and a problem description file is generated.
7. The robot production management method according to claim 3, wherein the step of inspecting the robot and generating the inspection result and the problem description file of the robot is followed by:
determining a fault component according to the problem description file and counting the fault rate of the fault component;
after the step of processing the robot according to the review conclusion, the method comprises the following steps:
and when the fault rate of the component exceeds a preset threshold value, generating early warning information.
8. The robot production management method according to claim 3, wherein the review conclusion is authorized, repaired or scrapped, and the step of processing the robot according to the review conclusion comprises:
when the review conclusion is a license, warehousing the robot for processing;
when the review conclusion is the return working hour, the robot is maintained;
and when the review conclusion is scrapped, disassembling and destroying the robot.
9. A robot production management apparatus, characterized by comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein:
the computer program realizing the steps of the robot production management method according to claims 3-8 when being executed by the processor.
10. A computer storage medium, characterized in that the computer storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the robot production management method according to claims 3-8.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113704368A (en) * | 2021-08-31 | 2021-11-26 | 深圳市亚加达信息技术有限公司 | Inspection information tracing method and device, computer equipment and storage medium |
| CN114118878A (en) * | 2022-01-21 | 2022-03-01 | 深圳市信润富联数字科技有限公司 | Online centralized quality analysis decision system based on hub detection and review framework |
| CN114488969A (en) * | 2021-12-21 | 2022-05-13 | 南通肇正智能装备有限公司 | Production after-sale integrated system for industrial intelligent robot |
| CN115358661A (en) * | 2022-07-25 | 2022-11-18 | 上海日播至美服饰制造有限公司 | Returned clothing processing method, returned clothing processing equipment and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2009023711A2 (en) * | 2007-08-13 | 2009-02-19 | Dealermagic | System and method for automating dealership transactions |
| CN101425159A (en) * | 2008-04-30 | 2009-05-06 | 贵州同济堂制药有限公司 | Producing monitoring system for chinese traditional medicine corporation |
| CN110334950A (en) * | 2019-07-05 | 2019-10-15 | 福州国电远控科技开发有限公司 | Steel tower intelligence production and group management and control system |
| CN110533337A (en) * | 2019-09-03 | 2019-12-03 | 四川环龙技术织物有限公司 | The production monitoring methods, devices and systems of paper making felt |
-
2020
- 2020-09-28 CN CN202011046705.9A patent/CN112308241A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2009023711A2 (en) * | 2007-08-13 | 2009-02-19 | Dealermagic | System and method for automating dealership transactions |
| CN101425159A (en) * | 2008-04-30 | 2009-05-06 | 贵州同济堂制药有限公司 | Producing monitoring system for chinese traditional medicine corporation |
| CN110334950A (en) * | 2019-07-05 | 2019-10-15 | 福州国电远控科技开发有限公司 | Steel tower intelligence production and group management and control system |
| CN110533337A (en) * | 2019-09-03 | 2019-12-03 | 四川环龙技术织物有限公司 | The production monitoring methods, devices and systems of paper making felt |
Non-Patent Citations (1)
| Title |
|---|
| 杨凤华;董爱军;胡霞清;张鹏;刘自林;: "检测实验室计算机系统管理程序制定的探讨", 中国卫生检验杂志, no. 01, pages 31 - 36 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113704368A (en) * | 2021-08-31 | 2021-11-26 | 深圳市亚加达信息技术有限公司 | Inspection information tracing method and device, computer equipment and storage medium |
| CN114488969A (en) * | 2021-12-21 | 2022-05-13 | 南通肇正智能装备有限公司 | Production after-sale integrated system for industrial intelligent robot |
| CN114118878A (en) * | 2022-01-21 | 2022-03-01 | 深圳市信润富联数字科技有限公司 | Online centralized quality analysis decision system based on hub detection and review framework |
| CN114118878B (en) * | 2022-01-21 | 2022-05-24 | 深圳市信润富联数字科技有限公司 | Online centralized quality analysis decision system based on hub detection and review framework |
| CN115358661A (en) * | 2022-07-25 | 2022-11-18 | 上海日播至美服饰制造有限公司 | Returned clothing processing method, returned clothing processing equipment and storage medium |
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