CN115983726A - Enterprise product quality closed-loop tracing management system - Google Patents
Enterprise product quality closed-loop tracing management system Download PDFInfo
- Publication number
- CN115983726A CN115983726A CN202310272974.4A CN202310272974A CN115983726A CN 115983726 A CN115983726 A CN 115983726A CN 202310272974 A CN202310272974 A CN 202310272974A CN 115983726 A CN115983726 A CN 115983726A
- Authority
- CN
- China
- Prior art keywords
- product
- module
- identification
- determining
- information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 claims abstract description 61
- 230000002159 abnormal effect Effects 0.000 claims abstract description 38
- 238000004519 manufacturing process Methods 0.000 claims abstract description 26
- 238000012502 risk assessment Methods 0.000 claims abstract description 17
- 239000002994 raw material Substances 0.000 claims abstract description 15
- 238000012545 processing Methods 0.000 claims abstract description 4
- 238000007726 management method Methods 0.000 claims description 52
- 230000005540 biological transmission Effects 0.000 claims description 22
- 238000011156 evaluation Methods 0.000 claims description 12
- 238000013500 data storage Methods 0.000 claims description 10
- 238000002372 labelling Methods 0.000 claims description 6
- 238000012163 sequencing technique Methods 0.000 claims description 6
- 239000002245 particle Substances 0.000 claims description 4
- 230000009286 beneficial effect Effects 0.000 description 10
- 230000006866 deterioration Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000011835 investigation Methods 0.000 description 2
- 238000012797 qualification Methods 0.000 description 2
- 238000013480 data collection Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides an enterprise product quality closed-loop tracing management system, which comprises: the identification module is used for identifying raw materials, products, product batches or boxed goods in the input process; the acquisition module is used for acquiring data of the identification information, the product production information and the production element information in the investment process and marking the data in the corresponding product to generate a corresponding product identification; the storage module is used for storing and backing up data of all the acquired production information; the positioning module is used for positioning the product according to the product identification process and positioning and marking the abnormal information of the product/batch; the query module is used for querying product information of any link in the process and querying, forwarding and backward tracing the products/batches found to be abnormal; the risk management and control module is used for carrying out risk assessment on products/batches in the process, locking the products/batches with risks and taking processing measures. Facilitating the stable promotion of the product quality.
Description
Technical Field
The invention relates to the technical field of Internet of things, in particular to an enterprise product quality closed-loop tracing management system.
Background
The quality is the life of enterprise, and paper data such as document, qualification certificate, process card in the production process are mainly looked for through the manual work to current enterprise product quality traces back, wastes time and energy, and the unusual product of accurate location also can not in time take corresponding measure to improve simultaneously, causes great loss. Therefore, the closed-loop tracing management system for the product quality of the enterprise is provided.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the art described above. Therefore, the invention aims to provide an enterprise product quality closed-loop tracing management system, which is applied to PDCA quality management circulation in the whole process, realizes closed-loop tracing management on enterprise product quality, discriminates and detects quality problems, performs investigation and tracing in the whole process, finds and improves causes of deterioration, and promotes stable improvement of product quality by the circulation.
In order to achieve the above object, an embodiment of the present invention provides an enterprise product quality closed-loop tracing management system, including:
the identification module is used for identifying raw materials, products, product batches or boxed goods in the input process;
the acquisition module is used for acquiring data of the identification information, the product production information and the production element information in the investment process and marking the data in the corresponding product to generate a corresponding product identification;
the storage module is used for storing and backing up data of all the acquired production information;
the positioning module is used for positioning the product in the product identification process and positioning and labeling the abnormal information of the product/batch;
the query module is used for querying product information of any link in the process and querying, forwarding and backward tracing the products/batches found to be abnormal;
and the risk management and control module is used for carrying out risk evaluation on products/batches in the process, locking the products/batches with risks, taking processing measures, taking improvement measures applied to the process for risk management and checking the effectiveness of the improvement measures.
According to some embodiments of the present invention, the manner of identifying by the identification module includes identifying a one-dimensional code or a two-dimensional code.
According to some embodiments of the invention, the identification module comprises:
the dividing module is used for dividing the types of the raw materials in the input process and distributing corresponding first identification modules according to the types;
the first identification module is used for identifying the raw materials of the corresponding types to obtain a first identification;
an establishment module to:
establishing a first index table related to a first identification module;
establishing a second index table for information transmission between the first identification module and the second identification module;
determining a transmission information identifier of a first identifier corresponding to the first identifier module based on the first index table and the second index table, and transmitting the transmission information identifier to a corresponding second identifier module;
the second identification module is used for receiving the transmission information identification and identifying the product batch or the boxed shipment according to the transmission information identification to obtain a second identification;
and the third identification module is used for receiving the second identification transmitted by the second identification module, identifying the second identification, determining the sequence information of the corresponding product, and generating a third identification related to the product according to the sequence information.
According to some embodiments of the invention, the acquisition module comprises:
a plurality of data acquisition units;
a first determination module to:
determining a first node distance value between each data acquisition unit;
determining a second node distance value from each data acquisition unit to a first terminal, a second terminal and a third terminal which send identification information, product production information and production element information;
establishing a space model of a minimum distance through a minimum spanning tree algorithm according to the first node distance value and the second node distance value;
optimizing based on a particle swarm algorithm according to the space model with the minimum distance, and determining a data acquisition network;
the receiving module is used for receiving the demand information of data acquisition; the demand information comprises a data acquisition time window, the number of data acquisition tasks and the importance of each data acquisition task;
an arrangement module to:
evaluating the load of the current data acquisition network according to the demand information, and judging whether the load is greater than a preset load or not;
when the load is determined to be larger than the preset load, generating a sequence value based on the data acquisition time window and the importance of the data acquisition task, sequencing the data acquisition time window and the importance of the data acquisition task from large to small according to the sequence value, and determining the priority according to a sequencing result;
and controlling the data acquisition network to acquire data based on the priority, and marking the data in a corresponding product to generate a corresponding product identifier after the data acquisition is finished.
According to some embodiments of the invention, the memory module comprises:
the identification module is used for identifying and dividing all the collected production information to obtain graph data and non-graph data;
a first storage module to:
constructing a storage tree structure, and storing the non-image data based on the storage tree structure;
in the storage process, detecting the data flow rate and the data storage time sequence for storing the non-image data into the storage tree structure;
when the data flow rate is determined not to be within the preset flow rate range or the data storage time sequence is determined not to be consistent with the preset storage time sequence, sending an alarm prompt;
a second storage module to:
analyzing the image data, and determining each image to be stored;
determining edge information of each image to be stored, matching the edge information with each other, and determining the association relation of each image to be stored according to the matching result;
and storing the image to be stored according to the incidence relation.
According to some embodiments of the invention, the first memory module comprises:
a plurality of storage nodes;
a second determination module to:
determining the distance value between each storage node and other storage nodes, and summing to obtain a plurality of sum values;
selecting a storage node corresponding to the minimum sum value as a key storage node;
establishing an incidence relation with other storage nodes by taking the key storage node as a vertex, and further establishing a storage tree structure;
and analyzing the non-image data based on a storage tree structure, determining corresponding data to be stored, and storing the data to be stored in the storage tree structure.
According to some embodiments of the invention, the positioning module comprises:
a third determination module to:
determining a product identifier in a product identifier process;
each product identification corresponds to one block node, and a product block chain is constructed;
broadcasting product identification to other block nodes from any block node in a product block chain;
a fourth determination module to:
receiving feedback results of other block nodes on the broadcasted product identification to obtain a plurality of feedback results;
determining a feedback logic relationship according to the feedback results, and when the feedback logic relationship is determined to be wrong, indicating that the corresponding block node is an abnormal node, and positioning and marking the abnormal node;
and positioning and labeling the batches comprising the abnormal nodes.
According to some embodiments of the invention, the query module comprises:
the fifth determining module is used for inquiring the product information of any link in the process and determining abnormal products/batches according to the inquiry result;
a sixth determining module to:
determining product tracing codes of abnormal products and product data of a plurality of dimensions;
determining a plurality of tracing chains based on the product tracing codes and the product data of a plurality of dimensions;
determining corresponding nodes of abnormal products in each tracing chain, and carrying out forward tracing and reverse tracing from the corresponding nodes to obtain a plurality of forward tracing results and a plurality of reverse tracing results;
and integrating the plurality of forward tracing results and the plurality of backward tracing results to obtain a comprehensive forward tracing result and a comprehensive backward tracing result.
According to some embodiments of the invention, the risk management module comprises:
a first risk management module to:
acquiring images of the product in the process to obtain images of all components of the product, respectively extracting color features and contour features, and obtaining appearance parameters based on the color features and the contour features;
performing performance detection on each component of the product and the connection state of each component to obtain performance parameters;
comparing the appearance parameters with preset appearance parameters to obtain a first comparison result;
comparing the performance parameter with a preset performance parameter to obtain a second comparison result;
and determining a risk evaluation result of the product according to the first comparison result and the second comparison result.
According to some embodiments of the invention, the risk management module comprises:
a second risk management module to:
performing risk assessment on each product in the same batch to obtain a risk assessment result of the product;
determining a first quantity of risk products based on parsing a risk assessment result of the product;
obtaining a second quantity of each product in the same batch;
and determining the risk assessment result of the batch according to the first quantity and the second quantity.
The invention provides an enterprise product quality closed-loop tracing management system which is applied to PDCA quality management circulation in the whole process, realizes closed-loop tracing management on enterprise product quality, discriminates and detects quality problems, carries out investigation and tracing in the whole process, finds and improves causes of deterioration, and promotes stable improvement of product quality through the circulation.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a block diagram of an enterprise product quality closed loop traceability management system, in accordance with one embodiment of the present invention;
FIG. 2 is a block diagram of an identification module according to one embodiment of the invention;
FIG. 3 is a block diagram of an acquisition module according to one embodiment of the invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
As shown in fig. 1, the present invention provides an enterprise product quality closed-loop tracing management system, which includes:
the identification module is used for identifying raw materials, products, product batches or boxed goods in the input process;
the acquisition module is used for acquiring data of the identification information, the product production information and the production element information in the investment process and marking the data in the corresponding product to generate a corresponding product identification;
the storage module is used for storing and backing up data of all the acquired production information;
the positioning module is used for positioning the product in the product identification process and positioning and labeling the abnormal information of the product/batch;
the query module is used for querying product information of any link in the process and querying, forwarding and backward tracing the products/batches found to be abnormal;
and the risk management and control module is used for carrying out risk evaluation on products/batches in the process, locking the products/batches with risks, taking processing measures, taking improvement measures applied to the process for risk management and checking the effectiveness of the improvement measures.
The beneficial effects of the above technical scheme are that: the method is applied to PDCA quality management circulation in the whole process, realizes closed-loop tracing management on the product quality of enterprises, discriminates and detects quality problems, inspects and traces back in the whole process, finds and improves causes causing deterioration, and promotes the stable improvement of the product quality by the circulation.
According to some embodiments of the present invention, the identifying module identifies the one-dimensional code or the two-dimensional code.
The working principle and the beneficial effects of the technical scheme are as follows: based on an informatization system, a one-dimensional code technology and a two-dimensional code technology, raw materials, products, product batches or boxed goods in the input process are identified, so that the high-efficiency management of related information is conveniently realized, and the high-efficiency tracing is further conveniently realized.
As shown in fig. 2, according to some embodiments of the invention, the identification module comprises:
the dividing module is used for dividing the types of the raw materials in the input process and distributing corresponding first identification modules according to the types;
the first identification module is used for identifying the raw materials of the corresponding types to obtain a first identification;
an establishment module to:
establishing a first index table related to a first identification module;
establishing a second index table for information transmission between the first identification module and the second identification module;
determining a transmission information identifier of a first identifier corresponding to the first identifier module based on the first index table and the second index table, and transmitting the transmission information identifier to a corresponding second identifier module;
the second identification module is used for receiving the transmission information identification and identifying the product batch or the boxed shipment according to the transmission information identification to obtain a second identification;
and the third identification module is used for receiving the second identification transmitted by the second identification module, identifying the second identification, determining the sequence information of the corresponding product, and generating a third identification related to the product according to the sequence information.
The working principle of the technical scheme is as follows: the first identification modules of different types are used for identifying the raw materials of corresponding types, so that accurate identification is convenient to realize. The establishing module is used for establishing a first index table related to the first identification module; each entry in the first index table corresponds to a first identification module, and the entry content comprises: the number, the IP, the communication port and the communication protocol type of the first identification module, etc. The establishing module establishes a second index table for information transmission between the first identification module and the second identification module; each entry in the second index table corresponds to a transmission information identifier required when information is transmitted between the first identification module and the second identification module, and the transmission information identifier comprises the following steps: identification code and information format. Determining a transmission information identifier of a first identifier corresponding to the first identifier module based on the first index table and the second index table, and transmitting the transmission information identifier to a corresponding second identifier module; the raw material-product batch or box shipment association relationship is conveniently established. And the third identification module is used for receiving the second identification transmitted by the second identification module, identifying the second identification, determining the sequence information of the corresponding product, and generating a third identification related to the product according to the sequence information. The association relationship of the products in the product batch or the boxed shipment is convenient to establish. The sequence information includes a production order corresponding to a certain product in the determined batch.
The beneficial effects of the above technical scheme are that: the method comprises the steps of identifying the types of raw materials respectively, achieving effective management of the identification, associating the product batches corresponding to each raw material, determining transmission information identification based on a first index table and a second index table in the management process, achieving accurate association of a first identification module and a second identification module based on the transmission information identification, and avoiding confusion of information management. And determining sequence information of the corresponding product based on the third identification module, and generating a third identification about the product according to the sequence information. The whole process realizes accurate identification of raw materials, product batches or boxed shipment, products, and the like, and meanwhile, in the identification process, a corresponding association relation is established for comprehensive monitoring management.
As shown in fig. 3, according to some embodiments of the invention, the acquisition module comprises:
a plurality of data acquisition units;
a first determining module to:
determining a first node distance value between each data acquisition unit;
determining a second node distance value from each data acquisition unit to a first terminal, a second terminal and a third terminal which send identification information, product production information and production element information;
establishing a space model of a minimum distance through a minimum spanning tree algorithm according to the first node distance value and the second node distance value;
optimizing based on a particle swarm algorithm according to the space model with the minimum distance, and determining a data acquisition network;
the receiving module is used for receiving the demand information of data acquisition; the demand information comprises a data acquisition time window, the number of data acquisition tasks and the importance of each data acquisition task;
an arrangement module to:
evaluating the load of the current data acquisition network according to the demand information, and judging whether the load is greater than a preset load or not;
when the load is determined to be larger than the preset load, generating a sequence value based on the data acquisition time window and the importance of the data acquisition task, sequencing the sequence value from large to small according to the sequence value, and determining the priority according to the sequencing result;
and controlling the data acquisition network to acquire data based on the priority, and marking the data in a corresponding product to generate a corresponding product identifier after the data acquisition is finished.
The working principle of the technical scheme is as follows: an acquisition module comprising: a plurality of data acquisition units; a first determining module to: determining a first node distance value between each data acquisition unit; determining a second node distance value from each data acquisition unit to a first terminal, a second terminal and a third terminal which send identification information, product production information and production element information; establishing a space model of a minimum distance through a minimum spanning tree algorithm according to the first node distance value and the second node distance value; optimizing based on a particle swarm algorithm according to the space model with the minimum distance, and determining a data acquisition network; the determined data collection network is the most efficient and economical collection network. The receiving module is used for receiving the demand information of data acquisition; the demand information comprises a data acquisition time window, the number of data acquisition tasks and the importance of each data acquisition task; an arrangement module to: evaluating the load of the current data acquisition network according to the demand information, and judging whether the load is greater than a preset load or not; evaluating the load on the current data acquisition network according to the demand information, comprising:
wherein W is an evaluation parameter; s. the i The size of the ith data acquisition time window; ti is the importance degree of the ith data acquisition task; n is the number of data acquisition tasks; and inquiring a preset evaluation parameter-load data table based on the evaluation parameters to determine the corresponding load. When the load is determined to be larger than the preset load, generating a sequence value based on the data acquisition time window and the importance of the data acquisition task, wherein the sequence value is->
And indicates the sequence value of the ith acquisition task. Sorting according to the sequence value from large to small, and determining the priority according to the sorting result; controlling the data acquisition network to acquire data based on the priority, and marking the data acquisition network in a corresponding product to generate the corresponding product after the data acquisition is finishedAnd (5) identifying.
The beneficial effects of the above technical scheme are that: determining an optimal determined data acquisition network, evaluating the load of the current data acquisition network according to the demand information of data acquisition in the acquisition process based on the data acquisition network, and judging whether the load is greater than a preset load or not; when the load is determined to be larger than the preset load, data acquisition is carried out based on the priority, a data acquisition network is conveniently and reasonably utilized, the reasonability of data acquisition is ensured, and after the data acquisition is finished, the mark is marked in the corresponding product to generate the corresponding product identification. And the effective management of the product identification is realized.
According to some embodiments of the invention, the memory module comprises:
the identification module is used for identifying and dividing all the collected production information to obtain graph data and non-graph data;
a first storage module to:
constructing a storage tree structure, and storing the non-image data based on the storage tree structure;
in the storage process, detecting the data flow rate and the data storage time sequence for storing the non-image data into the storage tree structure;
when the data flow rate is determined not to be within the preset flow rate range or the data storage time sequence is determined not to be consistent with the preset storage time sequence, an alarm prompt is sent out;
a second storage module to:
analyzing the image data, and determining each image to be stored;
determining edge information of each image to be stored, matching the edge information with each other, and determining the association relation of each image to be stored according to the matching result;
and storing the image to be stored according to the incidence relation.
The working principle of the technical scheme is as follows: the identification module is used for identifying and dividing all the collected production information to obtain graph data and non-graph data; a first storage module to: constructing a storage tree structure, and storing the non-image data based on the storage tree structure; in the storage process, detecting the data flow rate and the data storage time sequence for storing non-image data into a storage tree structure; when the data flow rate is determined not to be within the preset flow rate range or the data storage time sequence is determined not to be consistent with the preset storage time sequence, sending an alarm prompt; a second storage module to: analyzing the image data, and determining each image to be stored; determining edge information of each image to be stored, matching the edge information with each other, and determining the association relation of each image to be stored according to the matching result; and storing the image to be stored according to the incidence relation.
The beneficial effects of the above technical scheme are that: the graph data and the non-graph data are stored based on different storage modules and storage methods, so that the problem that unified storage is carried out in the prior art, and the data query is very inconvenient is solved. Storing the non-graph data based on a storage tree structure; the method and the device are convenient for inquiring based on the storage tree structure during inquiring, improve the inquiring efficiency and realize effective management of information. The graph data is stored based on the incidence relation, so that efficient data query and storage accuracy are facilitated. In the process of storing the non-image data, the data flow rate and the data storage time sequence are monitored, and the accuracy of storing the non-image data is ensured.
According to some embodiments of the invention, the first storage module comprises:
a plurality of storage nodes;
a second determination module to:
determining the distance value between each storage node and other storage nodes, and summing to obtain a plurality of sum values;
selecting a storage node corresponding to the minimum sum value as a key storage node;
establishing an incidence relation with other storage nodes by taking the key storage node as a vertex so as to construct a storage tree structure;
and analyzing the non-image data based on a storage tree structure, determining corresponding data to be stored, and storing the data to be stored in the storage tree structure.
The working principle of the technical scheme is as follows: a first storage module comprising: a plurality of storage nodes; a second determination module to: determining the distance value between each storage node and other storage nodes, and summing to obtain a plurality of sum values; selecting a storage node corresponding to the minimum sum value as a key storage node; establishing an incidence relation with other storage nodes by taking the key storage node as a vertex so as to construct a storage tree structure; and analyzing the non-image data based on a storage tree structure, determining corresponding data to be stored, and storing the data to be stored in the storage tree structure.
The beneficial effects of the above technical scheme are that: and a storage tree between the storage nodes is established, so that the high efficiency and the orderliness of the data storage of each storage node are ensured, and the storage efficiency is improved.
According to some embodiments of the invention, the positioning module comprises:
a third determination module to:
determining a product identifier in a product identifier process;
each product identification corresponds to one block node, and a product block chain is constructed;
broadcasting product identification to other block nodes from any block node in a product block chain;
a fourth determination module to:
receiving feedback results of other block nodes on the broadcasted product identification to obtain a plurality of feedback results;
determining a feedback logic relationship according to the feedback results, and when the feedback logic relationship is determined to be wrong, indicating that the corresponding block node is an abnormal node, and positioning and marking the abnormal node;
and positioning and labeling the batches comprising the abnormal nodes.
The working principle of the technical scheme is as follows: a positioning module, comprising: a third determination module to: determining a product identifier in a product identifier process; each product identification corresponds to one block node, and a product block chain is constructed; broadcasting product identification to other block nodes from any block node in a product block chain; a fourth determination module to: receiving feedback results of other block nodes on the broadcasted product identification to obtain a plurality of feedback results; determining a feedback logic relationship according to the feedback results, and when the feedback logic relationship is determined to be wrong, indicating that the corresponding block node is an abnormal node, and positioning and marking the abnormal node; and positioning and labeling the batches comprising the abnormal nodes.
The beneficial effects of the above technical scheme are that: constructing a product block chain, and obtaining a plurality of feedback results based on the feedback results of other block nodes in the product block chain on the broadcasted product identification; and determining a feedback logical relationship according to the feedback results, determining whether the corresponding block node is an abnormal node based on whether the feedback logical relationship is correct or not, and judging based on an integral judgment method, so that the accuracy of determining the abnormal node is improved, meanwhile, the abnormal node is conveniently and accurately positioned and labeled from the whole, and further, the batch including the abnormal node is positioned and labeled.
According to some embodiments of the invention, the query module comprises:
the fifth determining module is used for inquiring the product information of any link in the process and determining abnormal products/batches according to the inquiry result;
a sixth determining module to:
determining product tracing codes of abnormal products and product data of a plurality of dimensions;
determining a plurality of tracing chains based on the product tracing codes and the product data of a plurality of dimensions;
determining corresponding nodes of abnormal products in each tracing chain, and carrying out forward tracing and reverse tracing from the corresponding nodes to obtain a plurality of forward tracing results and a plurality of reverse tracing results;
and integrating the plurality of forward tracing results and the plurality of backward tracing results to obtain a comprehensive forward tracing result and a comprehensive backward tracing result.
The working principle of the technical scheme is as follows: the fifth determining module is used for inquiring the product information of any link in the process and determining abnormal products/batches according to the inquiry result; a sixth determining module to: determining product tracing codes of abnormal products and product data of a plurality of dimensions; determining a plurality of tracing chains based on the product tracing codes and the product data with a plurality of dimensions; each chain contains abnormal products. Determining corresponding nodes of abnormal products in each tracing chain, and carrying out forward tracing and reverse tracing from the corresponding nodes to obtain a plurality of forward tracing results and a plurality of reverse tracing results; and integrating the plurality of forward tracing results and the plurality of backward tracing results to obtain a comprehensive forward tracing result and a comprehensive backward tracing result.
The beneficial effects of the above technical scheme are that: and all the tracing chains are subjected to forward tracing and reverse tracing, and a plurality of forward tracing results and a plurality of reverse tracing results are integrated to obtain a comprehensive forward tracing result and a comprehensive reverse tracing result. Redundant information is removed in the integration process. The abnormal products can be comprehensively and accurately traced.
According to some embodiments of the invention, the risk management module comprises:
a first risk management module to:
acquiring images of the product in the process to obtain images of all components of the product, respectively extracting color features and contour features, and obtaining appearance parameters based on the color features and the contour features;
detecting the performance of each component of the product and the connection state of each component to obtain performance parameters;
comparing the appearance parameters with preset appearance parameters to obtain a first comparison result;
comparing the performance parameter with a preset performance parameter to obtain a second comparison result;
and determining a risk evaluation result of the product according to the first comparison result and the second comparison result.
The working principle of the technical scheme is as follows: a first risk management module to: acquiring images of the product in the process to obtain images of all components of the product, respectively extracting color features and contour features, and obtaining appearance parameters based on the color features and the contour features; performing performance detection on each component of the product and the connection state of each component to obtain performance parameters; comparing the appearance parameters with preset appearance parameters to obtain a first comparison result; comparing the performance parameter with a preset performance parameter to obtain a second comparison result; and determining a risk evaluation result of the product according to the first comparison result and the second comparison result. Presetting the appearance parameters as standard appearance parameters; the preset performance parameters are standard performance parameters.
The beneficial effects of the above technical scheme are as follows: and accurately determining a risk evaluation result of the product based on a first comparison result of the appearance parameter and the preset appearance parameter and a second comparison result of the performance parameter and the preset performance parameter.
According to some embodiments of the invention, the risk management module comprises:
a second risk management module to:
performing risk assessment on each product in the same batch to obtain a risk assessment result of the product;
determining a first quantity of risk products based on parsing a risk assessment result of the product;
obtaining a second quantity of each product in the same batch;
and determining a risk assessment result for the batch according to the first quantity and the second quantity.
The working principle of the technical scheme is as follows: a risk management module comprising: a second risk management module to: performing risk assessment on each product in the same batch to obtain a risk assessment result of the product; determining a first quantity of risk products based on parsing a risk assessment result of the product; obtaining a second quantity of each product in the same batch; and determining the risk assessment result of the batch according to the first quantity and the second quantity.
The beneficial effects of the above technical scheme are as follows: and calculating the qualification rate and the disqualification rate of the same batch as the risk evaluation result of the batch.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. The utility model provides an enterprise product quality closed loop traces back management system which characterized in that includes:
the identification module is used for identifying raw materials, products, product batches or boxed goods in the input process;
the acquisition module is used for acquiring data of the identification information, the product production information and the production element information in the investment process and marking the data in the corresponding product to generate a corresponding product identification;
the storage module is used for storing and backing up data of all the acquired production information;
the positioning module is used for positioning the product according to the product identification process and positioning and marking the abnormal information of the product/batch;
the query module is used for querying product information of any link in the process and querying, forwarding and backward tracing the products/batches found to be abnormal;
and the risk management and control module is used for carrying out risk evaluation on products/batches in the process, locking the products/batches with risks, taking processing measures, taking improvement measures applied to the process for risk management and checking the effectiveness of the improvement measures.
2. The enterprise product quality closed-loop traceability management system of claim 1, wherein the means for identifying by the identification module comprises identifying a one-dimensional code or a two-dimensional code.
3. The enterprise product quality closed loop traceability management system of claim 1, wherein the identification module comprises:
the dividing module is used for dividing the types of the raw materials in the input process and distributing corresponding first identification modules according to the types;
the first identification module is used for identifying the raw materials of the corresponding types to obtain a first identification;
an establishment module to:
establishing a first index table related to a first identification module;
establishing a second index table for information transmission between the first identification module and the second identification module;
determining a transmission information identifier of a first identifier corresponding to the first identifier module based on the first index table and the second index table, and transmitting the transmission information identifier to a corresponding second identifier module;
the second identification module is used for receiving the transmission information identification and identifying the product batch or boxed shipment according to the transmission information identification to obtain a second identification;
and the third identification module is used for receiving the second identification transmitted by the second identification module, identifying the second identification, determining the sequence information of the corresponding product, and generating a third identification related to the product according to the sequence information.
4. The enterprise product quality closed-loop traceability management system of claim 1, wherein the collection module comprises:
a plurality of data acquisition units;
a first determination module to:
determining a first node distance value between each data acquisition unit;
determining a second node distance value from each data acquisition unit to a first terminal, a second terminal and a third terminal which send identification information, product production information and production element information;
establishing a space model of a minimum distance through a minimum spanning tree algorithm according to the first node distance value and the second node distance value;
optimizing based on a particle swarm algorithm according to the space model with the minimum distance, and determining a data acquisition network;
the receiving module is used for receiving the demand information of data acquisition; the demand information comprises a data acquisition time window, the number of data acquisition tasks and the importance of each data acquisition task;
an arrangement module to:
evaluating the load of the current data acquisition network according to the demand information, and judging whether the load is greater than a preset load or not;
when the load is determined to be larger than the preset load, generating a sequence value based on the data acquisition time window and the importance of the data acquisition task, sequencing the sequence value from large to small according to the sequence value, and determining the priority according to the sequencing result;
and controlling the data acquisition network to acquire data based on the priority, and marking the data in a corresponding product to generate a corresponding product identifier after the data acquisition is finished.
5. The enterprise product quality closed loop traceability management system of claim 1, wherein the storage module comprises:
the identification module is used for identifying and dividing all the collected production information to obtain graph data and non-graph data;
a first storage module to:
constructing a storage tree structure, and storing the non-image data based on the storage tree structure;
in the storage process, detecting the data flow rate and the data storage time sequence for storing the non-image data into the storage tree structure;
when the data flow rate is determined not to be within the preset flow rate range or the data storage time sequence is determined not to be consistent with the preset storage time sequence, an alarm prompt is sent out;
a second storage module to:
analyzing the image data, and determining each image to be stored;
determining edge information of each image to be stored, matching the edge information with each other, and determining the association relation of each image to be stored according to the matching result;
and storing the image to be stored according to the incidence relation.
6. The enterprise product quality closed loop traceability management system of claim 5, wherein the first storage module comprises:
a plurality of storage nodes;
a second determination module to:
determining the distance value between each storage node and other storage nodes, and summing to obtain a plurality of sum values;
selecting a storage node corresponding to the minimum sum value as a key storage node;
establishing an incidence relation with other storage nodes by taking the key storage node as a vertex, and further establishing a storage tree structure;
and analyzing the non-image data based on a storage tree structure, determining corresponding data to be stored, and storing the data to be stored in the storage tree structure.
7. The enterprise product quality closed loop traceability management system of claim 1, wherein the positioning module comprises:
a third determining module to:
determining a product identifier in a product identifier process;
each product identification corresponds to one block node, and a product block chain is constructed;
broadcasting product identification to other block nodes from any block node in a product block chain;
a fourth determination module to:
receiving feedback results of other block nodes on the broadcasted product identification to obtain a plurality of feedback results;
determining a feedback logic relationship according to the feedback results, and when the feedback logic relationship is determined to be wrong, indicating that the corresponding block node is an abnormal node, and positioning and marking the abnormal node;
and positioning and labeling the batches comprising the abnormal nodes.
8. The enterprise product quality closed-loop traceability management system of claim 1, wherein the query module comprises:
the fifth determining module is used for inquiring the product information of any link in the process and determining abnormal products/batches according to the inquiry result;
a sixth determining module to:
determining product tracing codes of abnormal products and product data of a plurality of dimensions;
determining a plurality of tracing chains based on the product tracing codes and the product data of a plurality of dimensions;
determining corresponding nodes of abnormal products in each tracing chain, and carrying out forward tracing and reverse tracing from the corresponding nodes to obtain a plurality of forward tracing results and a plurality of reverse tracing results;
and integrating the plurality of forward tracing results and the plurality of backward tracing results to obtain a comprehensive forward tracing result and a comprehensive backward tracing result.
9. The enterprise product quality closed-loop traceability management system of claim 1, wherein the risk management module comprises:
a first risk management module to:
acquiring images of the product in the process to obtain images of all components of the product, respectively extracting color features and contour features, and obtaining appearance parameters based on the color features and the contour features;
detecting the performance of each component of the product and the connection state of each component to obtain performance parameters;
comparing the appearance parameters with preset appearance parameters to obtain a first comparison result;
comparing the performance parameter with a preset performance parameter to obtain a second comparison result;
and determining a risk evaluation result of the product according to the first comparison result and the second comparison result.
10. The enterprise product quality closed-loop traceability management system of claim 1, wherein the risk management module comprises:
a second risk management module to:
performing risk assessment on each product in the same batch to obtain a risk assessment result of the product;
determining a first quantity of risk products based on parsing a risk assessment result of the product;
obtaining a second quantity of each product in the same batch;
and determining a risk assessment result for the batch according to the first quantity and the second quantity.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310272974.4A CN115983726A (en) | 2023-03-21 | 2023-03-21 | Enterprise product quality closed-loop tracing management system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310272974.4A CN115983726A (en) | 2023-03-21 | 2023-03-21 | Enterprise product quality closed-loop tracing management system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115983726A true CN115983726A (en) | 2023-04-18 |
Family
ID=85965250
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310272974.4A Pending CN115983726A (en) | 2023-03-21 | 2023-03-21 | Enterprise product quality closed-loop tracing management system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115983726A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116823293A (en) * | 2023-08-28 | 2023-09-29 | 江苏润桐数据服务有限公司 | Electronic contract tracing and checking method and system |
| CN116976757A (en) * | 2023-09-21 | 2023-10-31 | 深圳市中络电子有限公司 | High-precision circuit board tracing system and method |
| CN117390933A (en) * | 2023-12-11 | 2024-01-12 | 延安随缘科技发展有限公司 | Process data tracing method and system for lubricating oil preparation |
| CN117436792A (en) * | 2023-12-18 | 2024-01-23 | 深圳市一诺智控科技有限公司 | Control method and system for realizing traceability of PCBA plug-in material |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107038591A (en) * | 2017-03-24 | 2017-08-11 | 广东省食品药品监督管理局政务服务中心 | A kind of aquatic products electronics traceability system |
| CN110516965A (en) * | 2019-08-27 | 2019-11-29 | 北京工商大学 | The credible retrospect model of oil and foodstuffs full supply chain and construction method based on block chain |
| CN111339195A (en) * | 2020-02-24 | 2020-06-26 | 深圳点链科技有限公司 | Quality control system and method based on block chain and computer readable storage medium |
| CN113242304A (en) * | 2021-05-13 | 2021-08-10 | 南方电网数字电网研究院有限公司 | Edge side multi-energy data acquisition scheduling control method, device, equipment and medium |
| US20210327565A1 (en) * | 2018-09-05 | 2021-10-21 | Translational Imaging Innovations Llc | Methods, Systems and Computer Program Products for Retrospective Data Mining |
| CN114254374A (en) * | 2022-03-01 | 2022-03-29 | 北京市农林科学院信息技术研究中心 | Data tracing method and system |
-
2023
- 2023-03-21 CN CN202310272974.4A patent/CN115983726A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107038591A (en) * | 2017-03-24 | 2017-08-11 | 广东省食品药品监督管理局政务服务中心 | A kind of aquatic products electronics traceability system |
| US20210327565A1 (en) * | 2018-09-05 | 2021-10-21 | Translational Imaging Innovations Llc | Methods, Systems and Computer Program Products for Retrospective Data Mining |
| CN110516965A (en) * | 2019-08-27 | 2019-11-29 | 北京工商大学 | The credible retrospect model of oil and foodstuffs full supply chain and construction method based on block chain |
| CN111339195A (en) * | 2020-02-24 | 2020-06-26 | 深圳点链科技有限公司 | Quality control system and method based on block chain and computer readable storage medium |
| CN113242304A (en) * | 2021-05-13 | 2021-08-10 | 南方电网数字电网研究院有限公司 | Edge side multi-energy data acquisition scheduling control method, device, equipment and medium |
| CN114254374A (en) * | 2022-03-01 | 2022-03-29 | 北京市农林科学院信息技术研究中心 | Data tracing method and system |
Non-Patent Citations (1)
| Title |
|---|
| 托马斯•西贝尔: "《电学领域热点专利技术分析》", 北京邮电大学出版社, pages: 86 - 87 * |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116823293A (en) * | 2023-08-28 | 2023-09-29 | 江苏润桐数据服务有限公司 | Electronic contract tracing and checking method and system |
| CN116823293B (en) * | 2023-08-28 | 2023-11-21 | 江苏润桐数据服务有限公司 | Electronic contract tracing and checking method and system |
| CN116976757A (en) * | 2023-09-21 | 2023-10-31 | 深圳市中络电子有限公司 | High-precision circuit board tracing system and method |
| CN116976757B (en) * | 2023-09-21 | 2023-11-28 | 深圳市中络电子有限公司 | High-precision circuit board tracing system and method |
| CN117390933A (en) * | 2023-12-11 | 2024-01-12 | 延安随缘科技发展有限公司 | Process data tracing method and system for lubricating oil preparation |
| CN117390933B (en) * | 2023-12-11 | 2024-03-05 | 延安随缘科技发展有限公司 | Process data tracing method and system for lubricating oil preparation |
| CN117436792A (en) * | 2023-12-18 | 2024-01-23 | 深圳市一诺智控科技有限公司 | Control method and system for realizing traceability of PCBA plug-in material |
| CN117436792B (en) * | 2023-12-18 | 2024-04-05 | 深圳市一诺智控科技有限公司 | Control method and system for realizing traceability of PCBA plug-in material |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN115983726A (en) | Enterprise product quality closed-loop tracing management system | |
| CN112235326B (en) | Internet of things equipment data analysis method and device and electronic equipment | |
| CN110851321B (en) | Service alarm method, equipment and storage medium | |
| CN106844645B (en) | Power communication equipment information inquiry system | |
| CN110135538A (en) | The full life store management method of live working tools and its system based on RFID | |
| CN109934356B (en) | Machine room inspection method based on big data and related equipment | |
| CN114488989B (en) | Industrial control system based on internet of things technology | |
| CN106257499A (en) | Sanitation facility cleaning intelligent operation and inspection management system and method | |
| CN109151004B (en) | Gateway of Internet of things, machine tool data management system and machine tool data management method | |
| CN106327208A (en) | Product quality tracing system and method for injection molding machine | |
| CN103699964A (en) | Agricultural-product tracing system based on evidence-chain and supply-chain panels | |
| CN115473924A (en) | Carbon emission metering system based on thing networking block chain | |
| CN112184127B (en) | Management system for full life cycle of supply chain assets based on blockchain technology | |
| CN117311295B (en) | Production quality improving method and system based on wireless network equipment | |
| CN116976369B (en) | RFID bolt and nut applied to equipment state detection | |
| CN105939364A (en) | Intelligent message push method and system | |
| CN110989537A (en) | Production data processing method, apparatus, medium, and system | |
| CN117236968A (en) | Carbon emission tracking method and device for regenerated plastic products | |
| CN105847978B (en) | A kind of formation gathering method and system based on smart television | |
| CN114500316A (en) | Method and system for inspecting equipment of Internet of things | |
| CN106488490B (en) | Base station maintenance method and system | |
| CN109242348A (en) | Quality problems acquisition method, device and processing equipment | |
| CN117391720B (en) | Recyclable plastic traceability system based on block chain | |
| CN113570184B (en) | Tracing method, tracing system, electronic device and computer readable storage medium | |
| CN116827808B (en) | Multi-equipment combined communication system, method and equipment based on industrial Internet of things |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20230418 |