CN117172608A - Remote assistance method and system for quality control and quality control of materials based on intelligent equipment - Google Patents
Remote assistance method and system for quality control and quality control of materials based on intelligent equipment Download PDFInfo
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Abstract
The application discloses a remote assistance method and a system for quality control and quality control of materials based on intelligent equipment, wherein the method comprises the following steps: according to the monitoring factors, monitoring material information corresponding to the material of the monitoring points; the material information is sent to a server, and cloud quality control suggestions generated by the server according to the material information are received; the material information is sent to intelligent equipment, and expert quality control suggestions obtained by the intelligent equipment according to the material information are received; the distance between the position of the intelligent device and the position of the monitoring point is larger than a preset distance threshold; and generating a material quality control report corresponding to the material according to the cloud quality control suggestion and the expert quality control suggestion. Therefore, the application can enrich the reference factors for determining the material control report, improve the professionality and accuracy of the material control report, and is beneficial to improving the material quality detection level.
Description
Technical Field
The application relates to the technical field of information processing, in particular to a remote assistance method and a remote assistance system for quality control and quality control of materials based on intelligent equipment.
Background
The material quality detection is a main means for carrying out material quality management, and can effectively reduce material maintenance cost and improve material management safety.
In practical application, the material quality detection service is long in time consumption, effective supervision is difficult to perform, recorded data are prone to error, accuracy of a material quality detection result is lowered, and the material quality detection level is uneven. Therefore, it is important to provide a technical scheme capable of improving the quality detection level of materials.
Disclosure of Invention
The application aims to solve the technical problem of providing a remote assistance method and a remote assistance system for quality control and quality inspection of materials based on intelligent equipment so as to improve the quality inspection level of the materials.
In order to solve the technical problems, an embodiment of the application provides a remote assistance method for quality control and quality control of materials based on intelligent equipment, which comprises the following steps:
according to the monitoring factors, monitoring material information corresponding to the material of the monitoring points; the monitoring factors comprise at least one of equipment safety state, raw material types, raw material quantity, product types, product quantity and product inspection information;
the material information is sent to a server, and cloud quality control suggestions generated by the server according to the material information are received;
the material information is sent to intelligent equipment, and expert quality control suggestions obtained by the intelligent equipment according to the material information are received; the distance between the position of the intelligent device and the position of the monitoring point is larger than a preset distance threshold;
and generating a material quality control report corresponding to the material according to the cloud quality control suggestion and the expert quality control suggestion.
Preferably, after the generating the material control report corresponding to the material according to the cloud quality control suggestion and the expert quality control suggestion, the method further includes:
judging whether the material quality control report meets a preset material quality inspection requirement or not;
when the material quality control report meets the material quality inspection requirement, determining that the quality inspection result of the material passes the quality inspection;
when the quality control report is judged to not meet the quality inspection requirement, determining that the quality inspection result of the material does not pass the quality inspection, determining a material control problem according to the part of the quality control report which does not meet the quality inspection requirement, and determining an optimization scheme corresponding to the material control problem according to the material control problem.
Preferably, the material information includes a device security status;
after the monitoring of the material information corresponding to the material of the monitoring point according to the monitoring factor, the method further comprises:
when the equipment safety state is abnormal, checking and maintaining equipment corresponding to the equipment safety state; and after confirming that the equipment normally operates, re-monitoring the material information corresponding to the material of the monitoring point.
Preferably, the sending the material information to an intelligent device and receiving expert quality control advice obtained by the intelligent device according to the material information include:
and sending the material information to the intelligent equipment in real time, so that the intelligent equipment outputs the material information by using a multimedia technology, receives expert feedback information corresponding to the material information, screens out key contents aiming at the material information in the expert feedback information, and determines the key contents as expert quality control suggestions, wherein the multimedia technology comprises one or more of a text, an image, an audio, a video and an augmented reality technology.
Preferably, the material information further includes one or more combinations of raw material information, product information, and product inspection information;
the material information is sent to a server, and cloud quality control suggestions generated by the server according to the material information are received, wherein the cloud quality control suggestions comprise:
the server determines raw material quality information and raw material utilization rate according to the raw material information and the product information, determines product quality information and product safety information according to the product inspection information, and determines cloud quality control advice according to the raw material quality information, the raw material utilization rate, the product quality information and the product safety information.
Preferably, the generating, according to the cloud quality control suggestion and the expert quality control suggestion, a quality control report corresponding to the material includes:
inquiring historical cloud quality control suggestions and historical expert quality control suggestions corresponding to the monitoring points and historical material quality control reports;
according to the historical material quality control report, counting the accuracy of the historical cloud quality control suggestion and the accuracy of the historical expert quality control suggestion;
determining a reference coefficient of the cloud quality control suggestion and a reference coefficient of the expert quality control suggestion according to the accuracy of the historical cloud quality control suggestion and the accuracy of the historical expert quality control suggestion;
and determining a material quality control report corresponding to the material according to the cloud quality control suggestion and the corresponding reference coefficient, the expert quality control suggestion and the corresponding reference coefficient.
Preferably, after determining the optimization scheme corresponding to the material control problem according to the material control problem, the method further includes:
executing production operation according to the optimization scheme to obtain optimized materials;
determining a material control report corresponding to the optimized material;
determining the completion degree of the optimization scheme according to the optimization scheme and a material control report corresponding to the optimization material;
and determining an optimization analysis result of the optimization scheme according to the completion degree of the optimization scheme.
The embodiment of the application also provides a remote assistance system for quality control and quality control of the material based on the intelligent equipment, which comprises the following steps:
the monitoring module is used for monitoring material information corresponding to the material of the monitoring point according to the monitoring factors; the monitoring factors comprise at least one of equipment safety state, raw material types, raw material quantity, product types, product quantity and product inspection information;
the generation module is used for sending the material information to a server and receiving cloud quality control suggestions generated by the server according to the material information;
the first determining module is used for sending the material information to the intelligent equipment and receiving expert quality control suggestions obtained by the intelligent equipment according to the material information; the distance between the position of the intelligent device and the position of the monitoring point is larger than a preset distance threshold;
and the second determining module is used for generating a material quality control report corresponding to the material according to the cloud quality control suggestion and the expert quality control suggestion.
The embodiment of the application also provides another remote assistance system for quality control and quality control of materials based on intelligent equipment, which comprises the following steps:
a memory storing executable program code;
a processor coupled to the memory;
and the processor calls the executable program codes stored in the memory to execute the remote assisting method for controlling the quality of the material based on the intelligent equipment.
The embodiment of the application also provides a computer storage medium which stores computer instructions, wherein the computer instructions are used for executing the remote assisting method for controlling quality of the material based on the intelligent equipment when being called.
Compared with the prior art, the embodiment of the application has the following beneficial effects:
according to the embodiment of the application, according to the predetermined monitoring factors, the material information corresponding to the material of the monitoring points is monitored; generating cloud quality control suggestions based on the server according to the material information; determining expert quality control advice based on intelligent equipment according to the material information, wherein the distance between the position of the intelligent equipment and the position of the monitoring point is greater than a preset distance threshold; and determining a material quality control report corresponding to the material according to the cloud quality control suggestion and the expert quality control suggestion. Therefore, according to the monitored material information, cloud quality control suggestions can be generated efficiently based on the server with high computing capacity, and accuracy and normalization of the production quality control suggestions are improved; on the other hand, the intelligent equipment can assist staff to remotely acquire the material information and determine expert quality control suggestions, so that the limitation of the space distance on the material quality control and inspection operation can be reduced, and the material quality control and inspection efficiency is improved; according to the cloud quality control advice and the expert quality control advice, the quality control report is determined, the reference factors for determining the quality control report are enriched, the professionality and the accuracy of the quality control report are improved, and the quality detection level of the quality of the material is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a remote assistance method for quality control of materials based on intelligent equipment according to an embodiment of the application;
FIG. 2 is a schematic flow chart of another remote assistance method for quality control of materials based on intelligent equipment according to the embodiment of the application;
fig. 3 is a schematic structural diagram of a remote assistance system for quality control of materials based on intelligent equipment according to an embodiment of the present application;
FIG. 4 is a schematic structural diagram of another remote assistance system for quality control of materials based on intelligent devices according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of another remote assistance system for quality control and quality control of materials based on intelligent equipment according to an embodiment of the present application.
Detailed Description
The detailed description of the drawings is intended as an illustration of the present embodiment of the application and is not intended to represent the only form in which the present application may be practiced. It is to be understood that the same or equivalent functions may be accomplished by different embodiments that are intended to be encompassed within the spirit and scope of the application.
The application discloses a remote assistance method and a remote assistance system for quality control of materials based on intelligent equipment, which can be used for efficiently generating cloud quality control suggestions based on a cloud quality control center with high operation capability according to monitored material information, and improving the accuracy and standardization of the production quality control suggestions; on the other hand, the intelligent equipment can assist staff to remotely acquire the material information and determine expert quality control suggestions, so that the limitation of the space distance on the material quality control and inspection operation can be reduced, and the material quality control and inspection efficiency is improved; according to the cloud quality control advice and the expert quality control advice, the quality control report is determined, the reference factors for determining the quality control report are enriched, the professionality and the accuracy of the quality control report are improved, and the quality detection level of the quality of the material is improved. The following will describe in detail.
Example 1
Referring to fig. 1, fig. 1 is a schematic flow chart of a remote assistance method for quality control of materials based on intelligent equipment according to an embodiment of the application. The remote assistance method for quality control of material based on intelligent equipment described in fig. 1 can be applied to a remote assistance system for quality control of material based on intelligent equipment, and also can be applied to any one of a server or an intelligent platform which needs to control remote assistance for quality control of material, wherein the server comprises a cloud server or a local server, and the embodiment of the application is not limited. As shown in fig. 1, the remote assistance method for quality control of materials based on intelligent equipment may include the following operations:
101. and monitoring material information corresponding to the material of the determined monitoring point according to the determined monitoring factor.
In the embodiment of the application, the monitoring factors can be used as monitoring reference factors to provide the data types which can be monitored and assist the monitoring operation; the monitoring factors may include one or more of equipment safety status, raw material types, raw material quantity, product types, product quantity and product inspection information, which is not limited in the embodiment of the present application; the monitoring points may be quality control points, which may include witness points, shutdown points to be checked, and side sites, and the embodiment is not limited.
102. And generating cloud quality control suggestions based on the cloud quality control center according to the material information.
In the embodiment of the application, the cloud quality control center can be a data processing platform built based on a cloud server or a cloud service platform, and the embodiment of the application is not limited.
103. And determining expert quality control suggestions based on the intelligent equipment according to the material information.
In the embodiment of the application, the distance between the position of the intelligent device and the position of the monitoring point is larger than the preset distance threshold.
104. And determining a material quality control report corresponding to the material according to the cloud quality control suggestion and the expert quality control suggestion.
Therefore, according to the method described by the embodiment of the application, according to the monitored material information, on one hand, cloud quality control suggestions can be efficiently generated based on a cloud quality control center with high operation capability, and the accuracy and normalization of the production quality control suggestions are improved; on the other hand, the intelligent equipment can assist staff to remotely acquire the material information and determine expert quality control suggestions, so that the limitation of the space distance on the material quality control and inspection operation can be reduced, and the material quality control and inspection efficiency is improved; according to the cloud quality control advice and the expert quality control advice, the quality control report is determined, the reference factors for determining the quality control report are enriched, the professionality and the accuracy of the quality control report are improved, and the quality detection level of the quality of the material is improved.
In an alternative embodiment, the asset information may include a device security status;
after monitoring the material information corresponding to the material of the determined monitoring point according to the determined monitoring factor, the method can further comprise:
when the equipment safety state is abnormal, checking and maintaining equipment corresponding to the equipment safety state;
and after the normal operation of the equipment is confirmed, the material information corresponding to the material of the monitoring point is re-monitored.
Therefore, when the safety state of the equipment is abnormal, the equipment can be overhauled until the equipment runs normally, the material information is detected again, the safety of the equipment can be improved, the accuracy of the detected material information is improved, and further the accuracy of quality control suggestions is improved.
In this optional embodiment, optionally, determining, based on the smart device, expert quality control advice according to the material information may include:
the material information is sent to the intelligent equipment in real time, and the material information is output based on the intelligent equipment by using a multimedia technology, wherein the multimedia technology comprises one or more of the combination of characters, images, audio, video and augmented reality technology;
receiving expert feedback information corresponding to the material information based on the intelligent equipment;
and screening out key contents aiming at the material information in the expert feedback information, and determining the key contents as expert quality control suggestions.
The presentation form of the expert feedback information can include one or more of text, image, audio, video and augmented reality technology.
Therefore, the optional embodiment can also remotely display the material information to technicians through a multimedia technology based on intelligent equipment, so that the limitation of the space distance on the material quality control operation can be reduced, the diversity of the material information output modes is improved, and the material information can be displayed more comprehensively; and key contents can be automatically screened out, expert quality control suggestions are determined from expert feedback information, and the accuracy of the expert quality control suggestions is improved.
In this alternative embodiment, optionally, the material information may further include one or more combinations of raw material information, product information, and product inspection information;
according to the material information, generating cloud end quality control suggestions based on the cloud end quality control center may include:
according to the raw material information and the product information, determining raw material quality information and raw material utilization rate based on a cloud quality control center;
according to the product inspection information, determining product quality information and product safety information based on a cloud quality control center;
and determining cloud quality control suggestions based on a cloud quality control center according to the raw material quality information, the raw material utilization rate, the product quality information and the product safety information.
Therefore, the optional embodiment can also determine the quality information of the raw materials, the utilization rate of the raw materials, the quality information of the products and the safety information of the products based on the cloud quality control center, determine the cloud quality control suggestion according to the quality information, determine the data parameters from multiple aspects, improve the accuracy of determining the cloud quality control suggestion, and be favorable for improving the accuracy of the material quality control report.
In this optional embodiment, optionally, determining, according to the cloud quality control suggestion and the expert quality control suggestion, a quality control report corresponding to the material may include:
inquiring historical cloud quality control suggestions and historical expert quality control suggestions corresponding to the monitoring points and historical material quality control reports;
according to the historical material quality control report, counting the accuracy of the historical cloud quality control suggestion and the accuracy of the historical expert quality control suggestion;
determining a reference coefficient of the cloud quality control suggestion and a reference coefficient of the expert quality control suggestion according to the accuracy of the historical cloud quality control suggestion and the accuracy of the historical expert quality control suggestion;
and determining a material control report corresponding to the material according to the cloud material control suggestion, the corresponding reference coefficient, the expert material control suggestion and the corresponding reference coefficient.
Therefore, the optional embodiment can also determine the historical accuracy corresponding to the cloud quality control advice and the expert quality control advice according to the historical record, determine the reference coefficients of the current cloud quality control advice and the expert quality control advice according to the historical accuracy, determine the final quality control report based on the reference coefficients, and can determine the quality control report by determining the reference coefficients and focusing on referencing a certain quality control advice, thereby improving the accuracy of the quality control report and further improving the reliability of the quality control report.
In another optional embodiment, after monitoring the material information corresponding to the material of the determined monitoring point according to the determined monitoring factor, the method may further include:
if the network environment of the monitoring point is normal, transmitting the material information to a server, a cloud end quality control center and intelligent equipment in real time based on a 5G technology;
if the network environment of the monitoring point is abnormal, the material information is stored locally until the network environment of the monitoring point is recovered to be normal, and the operation of transmitting the material information to the server, the cloud end quality control center and the intelligent equipment in real time based on the 5G technology is executed.
Therefore, the optional embodiment can also perform transmission or storage operation on the material information according to the network environment state of the monitoring point, so that the stability and reliability of data transmission are ensured, and the accuracy of generating the quality control suggestion is improved.
Example two
Referring to fig. 2, fig. 2 is a flow chart of another remote assistance method for quality control of materials based on intelligent equipment according to an embodiment of the present application. The remote assistance method for quality control of material based on intelligent equipment described in fig. 2 can be applied to a remote assistance system for quality control of material based on intelligent equipment, and also can be applied to any one of a server or an intelligent platform which needs to control remote assistance for quality control of material, wherein the server comprises a cloud server or a local server, and the embodiment of the application is not limited. As shown in fig. 2, the remote assistance method for quality control of materials based on intelligent equipment may include the following operations:
201. and monitoring material information corresponding to the material of the determined monitoring point according to the determined monitoring factor.
202. And generating cloud quality control suggestions based on the cloud quality control center according to the material information.
203. And determining expert quality control suggestions based on the intelligent equipment according to the material information.
204. And determining a material quality control report corresponding to the material according to the cloud quality control suggestion and the expert quality control suggestion.
In the embodiment of the present application, for other detailed descriptions of step 201 to step 204, please refer to the detailed descriptions of step 101 to step 104 in the first embodiment, and the detailed description of the embodiment of the present application is omitted.
205. And judging whether the material quality control report meets the predetermined material quality inspection requirement. When the determination result of step 205 is yes, step 206 is triggered to be executed, and when the determination result of step 205 is no, steps 207 to 209 are triggered to be executed.
In the embodiment of the application, the material quality inspection requirement is used for
206. And determining the quality inspection result of the materials to pass the quality inspection.
In the embodiment of the present application, after the completion of step 206, the flow is ended.
207. And determining that the quality inspection result of the materials does not pass the quality inspection.
208. And determining the material quality control problem according to the part which does not meet the material quality inspection requirement in the material quality control report.
209. And determining an optimization scheme corresponding to the material control problem according to the material control problem.
Therefore, according to the method described by the embodiment of the application, according to the monitored material information, on one hand, cloud quality control suggestions can be efficiently generated based on a cloud quality control center with high operation capability, and the accuracy and normalization of the production quality control suggestions are improved; on the other hand, the intelligent equipment can assist staff to remotely acquire the material information and determine expert quality control suggestions, so that the limitation of the space distance on the material quality control and inspection operation can be reduced, and the material quality control and inspection efficiency is improved; according to the cloud quality control advice and the expert quality control advice, the quality control report is determined, the reference factors for determining the quality control report are enriched, the professionality and the accuracy of the quality control report are improved, and the quality detection level of the quality of the material is improved. In addition, the quality inspection result can be determined according to the judgment result of judging whether the quality inspection requirement is met or not by the quality inspection report, if the quality inspection requirement is not met, a corresponding optimization scheme is determined, the quality inspection report can be evaluated in a standardized manner, the quality inspection level of the material is improved, the quality inspection optimization level of the material is improved by pertinently generating the optimization scheme, and the follow-up effective control of the quality of the material is facilitated.
In an alternative embodiment, after determining the optimization scheme corresponding to the quality control problem according to the quality control problem, the method may further include:
executing production operation according to the optimization scheme to obtain optimized materials;
determining a material control report corresponding to the optimized material;
determining the completion degree of the optimization scheme according to the optimization scheme and a material control report corresponding to the optimized material;
and determining an optimization analysis result of the optimization scheme according to the completion degree of the optimization scheme.
Therefore, according to the optional embodiment, the optimized materials can be obtained according to the production of the optimization scheme, the material control report corresponding to the optimized materials is determined, and the optimization analysis result is determined by determining the completion degree of the optimization scheme, so that the optimization operation of the material quality inspection can be perfected, the optimization level of the material control quality inspection is improved, and the quality level of the material which is detected subsequently is improved.
In this optional embodiment, optionally, after determining an optimization scheme corresponding to the material control problem according to the material control problem, the method may include:
determining current production conditions, wherein the current production conditions comprise the number of production equipment, the type of the production equipment, the safety state of the production equipment, the type of raw materials, the number of raw materials and the number of technicians;
inquiring the completion degree of the history optimization scheme, and determining unfinished contents in the history optimization scheme;
and adjusting the optimization scheme according to the current production condition, the completion degree of the historical optimization scheme and the unfinished content in the historical optimization scheme.
Therefore, the optional embodiment can also adjust the optimization scheme according to the current production condition, the completion degree of the historical optimization scheme and the incomplete content in the historical optimization scheme, can determine loopholes in the production program, reduces the probability of generating an invalid optimization scheme, pertinently optimizes the current optimization scheme and improves the optimization accuracy of the optimization scheme.
Example III
Referring to fig. 3, fig. 3 is a schematic structural diagram of a remote assistance system for quality control and quality control of materials based on intelligent equipment according to an embodiment of the present application. The remote assistance system for quality control of material based on intelligent equipment described in fig. 3 may be applied to a remote assistance device for quality control of material based on intelligent equipment, or may be applied to any one of a server or an intelligent platform that needs to control remote assistance for quality control of material, where the server includes a cloud server or a local server, and embodiments of the present application are not limited. As shown in fig. 3, the remote assistance system for quality control and quality control of materials based on intelligent equipment may include:
the monitoring module 301 is configured to monitor, according to the determined monitoring factor, material information corresponding to the material of the determined monitoring point;
the generating module 302 is configured to generate cloud quality control suggestions based on the cloud quality control center according to the material information;
the first determining module 303 is configured to determine expert quality control advice based on the intelligent device according to the material information, where a distance between a location of the intelligent device and a location of the monitoring point is greater than a preset distance threshold;
the second determining module 304 is configured to determine a material control report corresponding to the material according to the cloud control suggestion and the expert control suggestion.
Therefore, the device described by implementing the embodiment of the application can efficiently generate the cloud quality control suggestion based on the cloud quality control center with high operation capability according to the monitored material information, and improves the accuracy and normalization of the production quality control suggestion; on the other hand, the intelligent equipment can assist staff to remotely acquire the material information and determine expert quality control suggestions, so that the limitation of the space distance on the material quality control and inspection operation can be reduced, and the material quality control and inspection efficiency is improved; according to the cloud quality control advice and the expert quality control advice, the quality control report is determined, the reference factors for determining the quality control report are enriched, the professionality and the accuracy of the quality control report are improved, and the quality detection level of the quality of the material is improved.
In an alternative embodiment, as shown in fig. 4, the system may further include:
the judging module 305 is configured to judge whether the material control report meets a predetermined material quality inspection requirement after the second determining module 304 determines the material control report corresponding to the material according to the cloud material control suggestion and the expert material control suggestion;
a third determining module 306, configured to determine that the quality inspection result of the material passes the quality inspection when the judging module 305 judges that the quality control report of the material meets the quality inspection requirement of the material;
the third determining module 306 is further configured to determine that the quality inspection result of the material does not pass the quality inspection when the determining module 305 determines that the quality inspection report does not meet the quality inspection requirement, determine a quality inspection problem according to a portion of the quality inspection report that does not meet the quality inspection requirement, and determine an optimization scheme corresponding to the quality inspection problem according to the quality inspection problem.
Therefore, the device described by implementing the optional embodiment can efficiently generate the cloud quality control suggestion based on the cloud quality control center with high operation capability according to the monitored material information, so that the accuracy and normalization of the production quality control suggestion are improved; on the other hand, the intelligent equipment can assist staff to remotely acquire the material information and determine expert quality control suggestions, so that the limitation of the space distance on the material quality control and inspection operation can be reduced, and the material quality control and inspection efficiency is improved; according to the cloud quality control advice and the expert quality control advice, the quality control report is determined, the reference factors for determining the quality control report are enriched, the professionality and the accuracy of the quality control report are improved, and the quality detection level of the quality of the material is improved. In addition, the quality inspection result can be determined according to the judgment result of judging whether the quality inspection requirement is met or not by the quality inspection report, if the quality inspection requirement is not met, a corresponding optimization scheme is determined, the quality inspection report can be evaluated in a standardized manner, the quality inspection level of the material is improved, the quality inspection optimization level of the material is improved by pertinently generating the optimization scheme, and the follow-up effective control of the quality of the material is facilitated.
In this alternative embodiment, the material information may optionally include a device security status;
the system may further include:
the overhaul module 307 is configured to, after the monitoring module 301 monitors the material information corresponding to the material of the determined monitoring point according to the determined monitoring factor, check and repair the device corresponding to the device safety state when the device safety state is abnormal;
the monitoring module 301 is further configured to re-monitor material information corresponding to the material at the monitoring point after confirming that the device is operating normally.
Therefore, the device described by implementing the alternative embodiment can also overhaul the equipment when the safety state abnormality of the equipment is detected until the equipment is operated normally, and the material information is detected again, so that the safety of the equipment can be improved, the accuracy of the detected material information can be improved, and further the accuracy of the quality control suggestion can be improved.
In this alternative embodiment, optionally, the specific manner of determining the expert quality control advice based on the smart device by the first determining module 303 according to the material information may include:
the material information is sent to the intelligent equipment in real time, and the material information is output based on the intelligent equipment by using a multimedia technology, wherein the multimedia technology comprises one or more of the combination of characters, images, audio, video and augmented reality technology;
receiving expert feedback information corresponding to the material information based on the intelligent equipment;
and screening out key contents aiming at the material information in the expert feedback information, and determining the key contents as expert quality control suggestions.
Therefore, the device described by implementing the alternative embodiment can also remotely display the material information to technicians through a multimedia technology based on intelligent equipment, so that the limitation of the space distance on the material quality control operation can be reduced, the diversity of the material information output modes is improved, and the material information can be displayed more comprehensively; and key contents can be automatically screened out, expert quality control suggestions are determined from expert feedback information, and the accuracy of the expert quality control suggestions is improved.
In this alternative embodiment, optionally, the material information may further include one or more combinations of raw material information, product information, and product inspection information;
the specific manner of generating the cloud quality control suggestion based on the cloud quality control center by the generating module 302 according to the material information may include:
according to the raw material information and the product information, determining raw material quality information and raw material utilization rate based on a cloud quality control center;
according to the product inspection information, determining product quality information and product safety information based on a cloud quality control center;
and determining cloud quality control suggestions based on a cloud quality control center according to the raw material quality information, the raw material utilization rate, the product quality information and the product safety information.
It can be seen that the device described in the implementation of this optional embodiment can also determine raw material quality information, raw material utilization rate, product quality information and product safety information based on the cloud quality control center, and determine cloud quality control advice accordingly, and can determine data parameters from multiple aspects, so that accuracy of determining the cloud quality control advice is improved, and accuracy of material quality control reporting is improved.
In this optional embodiment, optionally, the specific manner of determining the material control report corresponding to the material according to the cloud quality control suggestion and the expert quality control suggestion by the second determining module 304 may include:
inquiring historical cloud quality control suggestions and historical expert quality control suggestions corresponding to the monitoring points and historical material quality control reports;
according to the historical material quality control report, counting the accuracy of the historical cloud quality control suggestion and the accuracy of the historical expert quality control suggestion;
determining a reference coefficient of the cloud quality control suggestion and a reference coefficient of the expert quality control suggestion according to the accuracy of the historical cloud quality control suggestion and the accuracy of the historical expert quality control suggestion;
and determining a material control report corresponding to the material according to the cloud material control suggestion, the corresponding reference coefficient, the expert material control suggestion and the corresponding reference coefficient.
It can be seen that the device described in this optional embodiment can also determine, according to the history record, the historical accuracy corresponding to the cloud quality control advice and the expert quality control advice, and determine the reference coefficients of the current cloud quality control advice and the expert quality control advice according to the historical accuracy, determine the final quality control report based on the reference coefficients, and can determine the quality control report by determining the reference coefficients and focusing on referencing a quality control advice, thereby improving the accuracy of the quality control report and further improving the reliability of the quality control report.
In this alternative embodiment, optionally, the system may further comprise:
the production module 308 is configured to execute a production operation according to the optimization scheme after the third determination module 306 determines the optimization scheme corresponding to the material control problem according to the material control problem, so as to obtain an optimized material;
the second determining module 304 is further configured to determine a material control report corresponding to the optimized material;
the third determining module 306 is further configured to determine a degree of completion of the optimization scheme according to the optimization scheme and a material control report corresponding to the optimized material;
the third determining module 306 is further configured to determine an optimization analysis result of the optimization scheme according to the completion degree of the optimization scheme.
Therefore, the device described by implementing the alternative embodiment can also obtain the optimized materials according to the optimized scheme production, determine the material control report corresponding to the optimized materials, and determine the optimized analysis result by determining the completion degree of the optimized scheme, so that the optimizing operation of the material quality inspection can be perfected, the optimizing level of the material control quality inspection is improved, and the quality level of the subsequently detected materials is improved.
Example IV
Referring to fig. 5, fig. 5 is a schematic structural diagram of another remote assistance system for quality control of materials based on intelligent devices according to an embodiment of the present application. As shown in fig. 5, the remote assistance system for quality control of materials based on intelligent equipment may include:
a memory 401 storing executable program codes;
a processor 402 coupled with the memory 401;
the processor 402 invokes executable program codes stored in the memory 401 to perform the steps in the intelligent device-based remote assistance method for quality control of materials described in the first or second embodiment of the present application.
Example five
The embodiment of the application discloses a computer storage medium which stores computer instructions for executing the steps in the remote assistance method for quality control and quality control of materials based on intelligent equipment described in the first embodiment or the second embodiment of the application when the computer instructions are called.
Example six
An embodiment of the present application discloses a computer program product, which includes a non-transitory computer readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform the steps in the method for remote assistance in quality control of materials based on smart devices described in the first or second embodiment.
The apparatus embodiments described above are merely illustrative, wherein the modules illustrated as separate components may or may not be physically separate, and the components shown as modules may or may not be physical, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present application without undue burden.
From the above detailed description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course by means of hardware. Based on such understanding, the foregoing technical solutions may be embodied essentially or in part in the form of a software product that may be stored in a computer-readable storage medium including Read-Only Memory (ROM), random-access Memory (Random Access Memory, RAM), programmable Read-Only Memory (Programmable Read-Only Memory, PROM), erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), one-time programmable Read-Only Memory (OTPROM), electrically erasable programmable Read-Only Memory (EEPROM), compact disc Read-Only Memory (Compact Disc Read-Only Memory, CD-ROM) or other optical disc Memory, magnetic disc Memory, tape Memory, or any other medium that can be used for computer-readable carrying or storing data.
Finally, it should be noted that: the embodiment of the application discloses a remote assistance method and a remote assistance system for quality control of materials based on intelligent equipment, which are disclosed by the embodiment of the application only for illustrating the technical scheme of the application, but not limiting the technical scheme; although the application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that; the technical scheme recorded in the various embodiments can be modified or part of technical features in the technical scheme can be replaced equivalently; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
The foregoing description of embodiments of the application has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the technical improvements in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (10)
1. The utility model provides a remote assistance method for quality control of materials based on intelligent equipment, which is characterized in that the method comprises the following steps:
according to the monitoring factors, monitoring material information corresponding to the material of the monitoring points; the monitoring factors comprise at least one of equipment safety state, raw material types, raw material quantity, product types, product quantity and product inspection information;
the material information is sent to a server, and cloud quality control suggestions generated by the server according to the material information are received;
the material information is sent to intelligent equipment, and expert quality control suggestions obtained by the intelligent equipment according to the material information are received; the distance between the position of the intelligent device and the position of the monitoring point is larger than a preset distance threshold;
and generating a material quality control report corresponding to the material according to the cloud quality control suggestion and the expert quality control suggestion.
2. The remote assistance method for quality control of materials based on intelligent equipment according to claim 1, wherein after the generating the quality control report corresponding to the materials according to the cloud quality control advice and the expert quality control advice, the method further comprises:
judging whether the material quality control report meets a preset material quality inspection requirement or not;
when the material quality control report meets the material quality inspection requirement, determining that the quality inspection result of the material passes the quality inspection;
when the quality control report is judged to not meet the quality inspection requirement, determining that the quality inspection result of the material does not pass the quality inspection, determining a material control problem according to the part of the quality control report which does not meet the quality inspection requirement, and determining an optimization scheme corresponding to the material control problem according to the material control problem.
3. The intelligent device-based remote assistance method for quality control of materials according to claim 1, wherein the material information comprises a device security status;
after the monitoring of the material information corresponding to the material of the monitoring point according to the monitoring factor, the method further comprises:
when the equipment safety state is abnormal, checking and maintaining equipment corresponding to the equipment safety state; and after confirming that the equipment normally operates, re-monitoring the material information corresponding to the material of the monitoring point.
4. A remote assistance method for quality control of materials based on intelligent devices according to any one of claims 1 to 3, wherein sending the material information to an intelligent device and receiving expert quality control advice obtained by the intelligent device according to the material information comprises:
and sending the material information to the intelligent equipment in real time, so that the intelligent equipment outputs the material information by using a multimedia technology, receives expert feedback information corresponding to the material information, screens out key contents aiming at the material information in the expert feedback information, and determines the key contents as expert quality control suggestions, wherein the multimedia technology comprises one or more of a text, an image, an audio, a video and an augmented reality technology.
5. The intelligent device-based remote assistance method for quality control of materials according to claim 4, wherein the material information further comprises one or more of raw material information, product information and product inspection information;
the material information is sent to a server, and cloud quality control suggestions generated by the server according to the material information are received, wherein the cloud quality control suggestions comprise:
the server determines raw material quality information and raw material utilization rate according to the raw material information and the product information, determines product quality information and product safety information according to the product inspection information, and determines cloud quality control advice according to the raw material quality information, the raw material utilization rate, the product quality information and the product safety information.
6. The remote assistance method for quality control of materials based on intelligent equipment according to claim 5, wherein the generating the quality control report corresponding to the materials according to the cloud quality control advice and the expert quality control advice comprises:
inquiring historical cloud quality control suggestions and historical expert quality control suggestions corresponding to the monitoring points and historical material quality control reports;
according to the historical material quality control report, counting the accuracy of the historical cloud quality control suggestion and the accuracy of the historical expert quality control suggestion;
determining a reference coefficient of the cloud quality control suggestion and a reference coefficient of the expert quality control suggestion according to the accuracy of the historical cloud quality control suggestion and the accuracy of the historical expert quality control suggestion;
and determining a material quality control report corresponding to the material according to the cloud quality control suggestion and the corresponding reference coefficient, the expert quality control suggestion and the corresponding reference coefficient.
7. The remote assistance method for quality control of materials based on intelligent equipment according to claim 2, wherein after determining an optimization scheme corresponding to the quality control problem according to the quality control problem, the method further comprises:
executing production operation according to the optimization scheme to obtain optimized materials;
determining a material control report corresponding to the optimized material;
determining the completion degree of the optimization scheme according to the optimization scheme and a material control report corresponding to the optimization material;
and determining an optimization analysis result of the optimization scheme according to the completion degree of the optimization scheme.
8. Remote assistance system for quality control and quality control of materials based on intelligent equipment, characterized in that the system comprises:
the monitoring module is used for monitoring material information corresponding to the material of the monitoring point according to the monitoring factors; the monitoring factors comprise at least one of equipment safety state, raw material types, raw material quantity, product types, product quantity and product inspection information;
the generation module is used for sending the material information to a server and receiving cloud quality control suggestions generated by the server according to the material information;
the first determining module is used for sending the material information to the intelligent equipment and receiving expert quality control suggestions obtained by the intelligent equipment according to the material information; the distance between the position of the intelligent device and the position of the monitoring point is larger than a preset distance threshold;
and the second determining module is used for generating a material quality control report corresponding to the material according to the cloud quality control suggestion and the expert quality control suggestion.
9. Remote assistance system for quality control and quality control of materials based on intelligent equipment, characterized in that the system comprises:
a memory storing executable program code;
a processor coupled to the memory;
the processor invokes the executable program code stored in the memory to perform the smart device-based remote assistance method of quality control of materials as set forth in any one of claims 1-8.
10. A computer storage medium storing computer instructions which, when invoked, are operable to perform the smart device-based remote assistance method for quality control of materials as claimed in any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311201714.4A CN117172608A (en) | 2023-09-18 | 2023-09-18 | Remote assistance method and system for quality control and quality control of materials based on intelligent equipment |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311201714.4A CN117172608A (en) | 2023-09-18 | 2023-09-18 | Remote assistance method and system for quality control and quality control of materials based on intelligent equipment |
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| CN117172608A true CN117172608A (en) | 2023-12-05 |
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| CN202311201714.4A Pending CN117172608A (en) | 2023-09-18 | 2023-09-18 | Remote assistance method and system for quality control and quality control of materials based on intelligent equipment |
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| Country | Link |
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| CN (1) | CN117172608A (en) |
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- 2023-09-18 CN CN202311201714.4A patent/CN117172608A/en active Pending
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