CN114581101A - Method, device and equipment for sample quality inspection and examination and storage medium - Google Patents
Method, device and equipment for sample quality inspection and examination and storage medium Download PDFInfo
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- CN114581101A CN114581101A CN202210196012.0A CN202210196012A CN114581101A CN 114581101 A CN114581101 A CN 114581101A CN 202210196012 A CN202210196012 A CN 202210196012A CN 114581101 A CN114581101 A CN 114581101A
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
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- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract
The application discloses a method, a device, equipment and a storage medium for sample quality inspection and audit, wherein the method comprises the following steps: receiving a URL address of a sample, and determining whether the sample exists in a preset warehouse or not based on the URL address; if the sample code does not exist, determining a sample list and a sample code of the sample, and supplementing the sample code into the sample list; sending the sample list to a sender, determining a shipping logistics tracking number of a shipping sample after the sample in the sample list is detected to be shipped, and supplementing the shipping logistics tracking number into the sample list; and after detecting that the delivery sample is delivered, receiving, warehousing and checking the delivered sample to obtain a checking result, and generating a checking report based on the checking result. The application provides comprehensive convenient sample quality detection and audit service flow to quality testing personnel can be quick carry out the inspection and the record of data to the sample, avoid information feedback untimely.
Description
Technical Field
The present application relates to the field of quality detection, and in particular, to a method, an apparatus, a device, and a storage medium for quality inspection and audit of a sample.
Background
Due to the rapid development of cross-border e-commerce, a plurality of suppliers to which the purchasing department of the company contacts are continuously increased, and then, the types of the selected products purchased by the purchasing department of the company are also continuously increased, so that the quality detection and the verification of the selected products become more important.
In the prior art, quality inspectors manually detect and audit the quality of samples, and manually record the detection and audit results, which causes low efficiency of detection and audit of the quality inspectors and untimely information feedback.
Disclosure of Invention
In view of this, embodiments of the present application provide a method, an apparatus, a device, and a storage medium for quality inspection and audit of a sample, which aim to solve technical problems that an existing sample is low in efficiency of inspection and audit, and information feedback is not timely.
The embodiment of the application provides a method for examining and verifying the quality of a sample, which comprises the following steps:
after receiving a URL address of a sample, determining whether the sample exists in a preset warehouse based on the URL address;
if the sample code does not exist, determining a sample list and a sample code of the sample, and supplementing the sample code into the sample list;
sending the sample list to a sender, determining a shipping logistics tracking number of a shipping sample after the sample in the sample list is detected to be shipped, and supplementing the shipping logistics tracking number into the sample list;
and after detecting that the delivery sample is delivered, receiving, warehousing and checking the delivered sample to obtain a checking result, and generating a checking report based on the checking result.
In one possible embodiment of the present application, the step of receiving, warehousing and verifying the received sample after detecting that the delivered sample is delivered to the destination, obtaining a verification result, and generating a verification report based on the verification result includes:
after detecting that the delivery sample is delivered, if the delivered sample is a non-damaged sample, receiving the delivered sample, determining the sample detail of the non-damaged sample, and supplementing the sample detail into the sample list;
determining an arrival type of the arrival sample;
if the arrival type is a preset non-selling type, virtually warehousing the arrival sample;
after the virtual warehousing, if the logistics tracking number of the arrived sample is detected to be scanned and the sample code of the arrived sample is detected to be printed, determining the arrived sample as a control sample to be tested;
and determining a preset quality inspection flow of the sample to be controlled, performing quality inspection on the sample to be controlled based on the preset quality inspection flow to obtain an inspection result, and generating an inspection report based on the inspection result.
In one possible embodiment of the present application, the step of determining the sample order and the sample code of the sample is preceded by the method comprising:
collecting a sample image of the sample;
inputting the sample image into a preset qualified sample identification model, and determining whether the sample is a qualified sample based on the preset qualified sample identification model;
if the sample image is a qualified sample, executing the step of determining a sample list and a sample code of the sample;
the preset qualified sample identification model is obtained by performing iterative training on a preset basic model based on training data with preset qualified sample labels.
In one possible embodiment of the present application, before the step of inputting the sample image into a preset qualified sample identification model and determining whether the sample image is a qualified sample based on the preset qualified sample identification model, the method includes:
inputting the training data into the preset basic model, and predicting the training data based on the preset basic model to obtain a predicted qualified sample label;
comparing the predicted qualified sample label with the preset qualified sample label to obtain a comparison result;
based on the comparison result, adjusting the weight of the model parameter in the preset basic model, and updating the preset basic model based on the weight of the model parameter;
determining whether the updated preset basic model meets a preset iteration ending condition;
if the updated preset basic model meets the preset iteration end condition, taking the updated preset basic model as the preset qualified sample identification model;
and if the updated preset basic model does not meet the iteration ending condition, continuing to carry out iteration training on the updated preset basic model based on the training data until the iteration ending condition is met, and obtaining the preset qualified sample identification model.
In a possible embodiment of the present application, the step of determining the preset quality inspection process of the sample to be quality-controlled, performing quality inspection on the sample to be quality-controlled based on the preset quality inspection process to obtain an inspection result, and generating an inspection report based on the inspection result includes:
determining basic data of the to-be-tested control sample through the shipping logistics tracking number;
performing quality inspection verification on the sample to be controlled based on the basic data of the sample to be controlled and a preset quality inspection process to determine the commodity risk level of the sample to be controlled;
determining the checking result of the sample to be quality-controlled based on the commodity risk grade;
and generating a checking report with a preset fixed format based on the checking result.
In a possible embodiment of the present application, the step of performing quality inspection on the sample to be tested based on the basic data of the sample to be tested and a preset quality inspection process to determine the commodity risk level of the sample to be tested comprises:
determining an input vector corresponding to the basic data;
inputting the input vector into a preset quality inspection model, and performing commodity risk level prediction processing on the to-be-tested sample based on the preset quality inspection model to obtain a commodity risk level of the to-be-tested sample;
the preset quality inspection model is obtained by performing iterative training on a preset basic model based on training data with preset risk level labels.
In one possible embodiment of the present application, after the step of detecting that the shipment sample arrives, receiving, warehousing and checking the arrival sample to obtain a checking result, and generating a checking report based on the checking result, the method further includes:
if the goods-in sample is a scrapped sample, carrying out ex-warehouse treatment on the scrapped sample;
determining a return shipment logistics tracking number of the ex-warehouse scrapped sample;
supplementing the restocked shipments logistics tracking number into the sample slip;
and if receiving a receiving instruction that the delivery party confirms to receive the goods, confirming that the returning of the scrapped samples is finished.
The application also provides a device that sample quality control examined and verified, the device includes:
the first determination module is used for determining whether the sample exists in a preset warehouse or not based on the URL address after the URL address of the sample is received;
the first supplementing module is used for determining a sample list and a sample code of the sample if the sample list does not exist, and supplementing the sample code into the sample list;
the second supplementing module is used for sending the sample list to a sender, determining a shipping logistics tracking number of a shipping sample after the shipping of the sample in the sample list is detected, and supplementing the shipping logistics tracking number into the sample list;
and the checking module is used for receiving, warehousing and checking the received goods sample after detecting that the delivery sample is delivered, obtaining a checking result and generating a checking report based on the checking result.
In one possible embodiment of the present application, the verification module includes:
the first detection unit is used for receiving the goods-arriving sample and determining the sample detail of the non-damaged sample after detecting that the goods-arriving sample is a non-damaged sample, and supplementing the sample detail into the sample list;
a first determination unit for determining the arrival type of the arrival sample;
the virtual warehousing unit is used for virtually warehousing the goods arriving samples if the goods arriving type is a preset non-selling type;
the second detection unit is used for determining the arrived sample as a sample to be controlled if the logistics tracking number of the arrived sample is detected to be scanned and the sample code of the arrived sample is detected to be printed after the virtual warehousing is finished;
and the second determination unit is used for determining a preset quality inspection process of the to-be-tested sample, performing quality inspection on the to-be-tested sample based on the preset quality inspection process to obtain an inspection result, and generating an inspection report based on the inspection result.
In one possible embodiment of the present application, the apparatus further comprises:
the acquisition module is used for acquiring a sample image of the sample;
the second determination module is used for inputting the sample image into a preset qualified sample identification model and determining whether the sample is a qualified sample or not based on the preset qualified sample identification model;
the execution module is used for executing the step of determining the sample list and the sample code of the sample if the sample image is a qualified sample;
the preset qualified sample identification model is obtained by performing iterative training on a preset basic model based on training data with preset qualified sample labels.
In one possible embodiment of the present application, the apparatus further comprises:
the input module is used for inputting the training data into the preset basic model, predicting the training data based on the preset basic model and obtaining a predicted qualified sample label;
the comparison module is used for comparing the predicted qualified sample label with the preset qualified sample label to obtain a comparison result;
an adjusting module, configured to adjust a weight of a model parameter in the preset base model based on the comparison result, and update the preset base model based on the weight of the model parameter;
a third determining module, configured to determine whether the updated preset base model meets a preset iteration end condition;
a setting module, configured to take the updated preset base model as the preset qualified sample identification model if the updated preset base model meets the preset iteration end condition;
and the iteration training module is used for continuing to carry out iteration training on the updated preset basic model based on the training data until the iteration end condition is met and obtaining the preset qualified sample identification model if the updated preset basic model does not meet the iteration end condition.
In one possible embodiment of the present application, the second determining unit is configured to implement:
determining basic data of the to-be-tested control sample through the shipping logistics tracking number;
performing quality inspection verification on the sample to be controlled based on the basic data of the sample to be controlled and a preset quality inspection process to determine the commodity risk level of the sample to be controlled;
determining the checking result of the sample to be quality-controlled based on the commodity risk grade;
and generating a checking report with a preset fixed format based on the checking result.
In a possible embodiment of the present application, the second determining unit is further configured to:
determining an input vector corresponding to the basic data;
inputting the input vector into a preset quality inspection model, and performing commodity risk level prediction processing on the to-be-tested sample based on the preset quality inspection model to obtain a commodity risk level of the to-be-tested sample;
the preset quality inspection model is obtained by performing iterative training on a preset basic model based on training data with preset risk level labels.
In one possible embodiment of the present application, the apparatus is further configured to implement:
if the goods-in sample is a scrapped sample, carrying out ex-warehouse treatment on the scrapped sample;
determining a return shipment logistics tracking number of the ex-warehouse scrapped sample;
supplementing the returned shipment logistics tracking number into the sample slip;
and if receiving a receiving instruction that the delivery party confirms to receive the goods, confirming that the returning of the scrapped samples is finished.
The application also provides a device for quality inspection and audit of samples, the device for quality inspection and audit of samples is entity node device, the device for quality inspection and audit of samples comprises: a memory, a processor, and a program of the method for quality inspection and review of samples stored on the memory and executable on the processor, the program of the method for quality inspection and review of samples when executed by the processor implementing the steps of the method for quality inspection and review of samples as described above.
To achieve the above object, there is also provided a storage medium having a program for quality inspection and audit of a sample stored thereon, wherein the program for quality inspection and audit of a sample is executed by a processor to implement any of the steps of the method for quality inspection and audit of a sample described above.
Compared with the prior art that quality inspection personnel manually detect and inspect the quality of a sample and manually record the detection and audit results, so that the detection and audit efficiency of the sample is low and information feedback is not timely, in the method, after the URL address of the sample is received, whether the sample exists in a preset warehouse or not is determined based on the URL address; if the sample code does not exist, determining a sample list and a sample code of the sample, and supplementing the sample code into the sample list; sending the sample list to a sender, determining a shipping logistics tracking number of a shipping sample after the sample in the sample list is detected to be shipped, and supplementing the shipping logistics tracking number into the sample list; and after detecting that the delivery sample is delivered, receiving, warehousing and checking the delivered sample to obtain a checking result, and generating a checking report based on the checking result. In the application, a set of complete sample circulation flow is provided, and particularly, all sample circulation information from the URL address of the received sample to the sample list determination, the sample receiving, the sample delivery, the sample warehousing and the sample verification are automatically recorded by the system, so that the flow direction of the company sample and the quality of the company sample are guaranteed. That is, in this application, provide comprehensive convenient sample quality testing and audit service flow to supply quality testing personnel can be quick to the sample examine and the record of data, avoid the information feedback untimely.
Drawings
FIG. 1 is a schematic flow chart of a first embodiment of a method for quality inspection and review of a sample according to the present application;
FIG. 2 is a schematic diagram of an apparatus structure of a hardware operating environment according to an embodiment of the present application;
fig. 3 is a schematic view of a first scenario involved in the physical method for quality inspection and audit of a sample according to the present application.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The embodiment of the present application provides a method for sample quality inspection and audit, and in an embodiment of the method for sample quality inspection and audit, the method is applied to a device for sample quality inspection and audit, referring to fig. 1, and the method includes:
step S10, after receiving the URL address of the sample, determining whether the sample exists in a preset warehouse or not based on the URL address;
step S20, if not, determining a sample list and a sample code of the sample, and supplementing the sample code into the sample list;
step S30, sending the sample list to a sender, determining a shipping logistics tracking number of a shipping sample after the sample in the sample list is detected to be shipped, and supplementing the shipping logistics tracking number to the sample list;
and step S40, after the delivery sample delivery is detected, receiving, warehousing and checking the delivery sample to obtain a checking result, and generating a checking report based on the checking result.
The present embodiment is intended to: the efficiency of examining and verifying the detection of sample is promoted, and the promptness of information feedback is promoted.
Specifically, referring to fig. 3, in the present application, after receiving a URL address of a sample, it is determined whether the sample exists in a preset repository based on the URL address; if the sample code does not exist, determining a sample list and a sample code of the sample, and supplementing the sample code into the sample list; sending the sample list to a sender, determining a shipping logistics tracking number of a shipping sample after the sample in the sample list is detected to be shipped, and supplementing the shipping logistics tracking number into the sample list; and after detecting that the delivery sample is delivered, receiving, warehousing and checking the delivered sample to obtain a checking result, and generating a checking report based on the checking result. In the application, a set of complete sample circulation flow is provided, and particularly, all sample circulation information from the URL address of the received sample to the sample list determination, the sample receiving, the sample delivery, the sample warehousing and the sample verification are automatically recorded by the system, so that the flow direction of the company sample and the quality of the company sample are guaranteed. That is, in this application, provide comprehensive convenient sample quality and detect and examine the service flow to supply the quality testing personnel can be quick to the sample examine and the record of data, avoid information feedback untimely.
As an example, the method for quality inspection and audit of samples can be applied to a device for quality inspection and audit of samples, wherein the device for quality inspection and audit of samples belongs to a system for quality inspection and audit of samples (hereinafter referred to as a system for short), and the system for quality inspection and audit of samples belongs to a device for quality inspection and audit of samples.
As an example, the sample may be a sample for sale (non-sample), and is not particularly limited.
As an example, the sample may be an electronic sample or a non-electronic sample.
As an example, the URL address of the sample is a sample link.
As an example, the sample link may be a platform link, a public link, or a web page link.
As an example, the URL address of the sample may be provided by a service developer.
As an example, the URL address of the sample may be plural.
After receiving the URL address of the sample, determining whether the sample exists in a preset warehouse based on the URL address.
Specifically, after receiving the URL address of the sample, if an instruction that the sample exists in the preset repository is received, it is determined that the sample exists in the preset repository.
Wherein the instruction that the sample is present in the pre-set warehouse (upon determining that it is present in the pre-set warehouse) is triggered by a warehouse manager.
The instruction that the sample exists in the preset warehouse can be triggered automatically after the system for sample quality inspection and audit audits.
After the system for examining and verifying the quality of the sample audits, the specific process triggered by the self-processing can be as follows: and the system for sample quality inspection and examination identifies the sample to obtain sample information, compares the sample information with the sample information prestored in the system, and further determines whether an instruction that the sample exists in a preset warehouse needs to be triggered.
Step S20, if not, determining a sample list and a sample code of the sample, and supplementing the sample code into the sample list;
as an example, if present, no subsequent steps or flow is performed.
As an example, if not present, a sample sheet of the sample and a sample code are determined and the sample code is supplemented to the sample sheet.
As an example, the sample codes of the samples are determined based on preset coding rules, and different types of samples are different corresponding to the preset coding rules.
As an example, the sample code of the current sample is generated based on a preset coding rule.
As an example, there are different sample codes (skus) in the system for sample quality inspection auditing, and thus, the new product developer selects or determines the sample code or sample code of the current sample directly from the created list of sku information.
As an example, after determining the sample code of the current sample, the system invokes the pre-set purchase order generation module to automatically create a sample order or sample order based on the sample code.
As an example, the sample order is a sample purchase order.
As an example, the sample order may be divided into a pick-up order and a return order.
As one example, after determining the sample code for the current sample, the system receives a sample order generated by the warehouse manager based on the sample code for the current sample.
As an example, the sample code is supplemented into the sample sheet by warehouse management personnel or personnel.
As an example, the sample code is automatically added to the sample sheet by the system.
Step S30, sending the sample list to a sender, determining a shipping logistics tracking number of a shipping sample after the sample in the sample list is detected to be shipped, and supplementing the shipping logistics tracking number to the sample list;
as an example, upon determining the sample order, the system automatically sends the sample order to the shipper (sample developer or sample supplier) based on the address populated to the corresponding location by the new item developer.
After the sample shipment in the sample sheet is detected, determining a shipment stream tracking number for the shipment sample, and supplementing the shipment stream tracking number into the sample sheet.
As an example, the shipper may notify the system of the sample shipment and provide the system with a corresponding logistics tracking number, such as a shipping slip.
As an example, after the supplier delivers the goods, the supplier provides a logistics tracking number to the corresponding new product developer, and the new product developer needs to supplement the logistics tracking number provided by the supplier into the corresponding sample list and trigger the instruction uploaded by the corresponding logistics tracking number. For reception by the system.
And step S40, after the delivery sample delivery is detected, receiving, warehousing and checking the delivery sample to obtain a checking result, and generating a checking report based on the checking result.
After detecting that the delivery sample is delivered, the system receives, warehouses and verifies the delivery sample to obtain a verification result, and generates a verification report based on the verification result.
As an example, the system notifies a new product developer or a warehouse manager to receive the shipment sample after detecting the shipment sample.
As one example, upon receiving an instruction to perform a receiving process on an incoming sample, the system notifies the incoming sample to perform a warehousing process.
As an example, the system notifies a quality inspector to perform a verification process on the incoming sample after receiving an instruction to perform a warehousing process on the incoming sample.
As an example, after detecting that the shipment sample is delivered, the system performs the receiving, warehousing and verification processing on the delivered sample respectively based on the internal receiving module, warehousing module and verification module, and obtains the verification result.
As an example, after obtaining the verification result, a verification report is generated based on the verification result, and the verification result is displayed or displayed.
After the delivery sample delivery is detected, receiving, warehousing and checking the delivery sample to obtain a checking result, and generating a checking report based on the checking result, wherein the steps comprise:
step S41, after detecting the shipment sample, if the shipment sample is a non-damage sample, receiving the shipment sample, determining the sample detail of the non-damage sample, and supplementing the sample detail to the sample list;
as an example, after detecting the shipment of the sample, when receiving an instruction that a new product developer or a warehouse manager detects that the shipment sample is a non-damaged sample, automatically receiving the shipment sample, determining the sample detail of the non-damaged sample (the sample detail of the non-damaged sample), and adding the sample detail to the sample list.
As an example, if the damaged sample is detected, a discard instruction for discarding the damaged sample is triggered.
Step S42, determining the arrival type of the arrival sample;
as an example, the type of the incoming goods sample is determined by the attribute information of the incoming goods sample, and the type of the incoming goods may be a preset non-selling type or a preset selling type.
Step S43, if the arrival type is a preset non-selling type, the arrival sample is virtually put in storage;
as an example, the arrival type of the arrival sample is determined, and if the arrival type is a preset non-selling type, the arrival sample is virtually warehoused.
The virtual warehousing means that the samples are not warehoused to the selling area but warehoused to the non-selling area.
As an example, the arrival type of the arrival sample is determined, and if the arrival type is a preset selling type, the arrival sample is actually put in storage.
Wherein, the actual warehousing means warehousing the samples to a selling area.
As an example, after the sample is put in storage, the sample order detail may not be edited again.
Step S44, after the virtual warehousing, if the logistics tracking number of the arrived sample is detected to be scanned and the sample code of the arrived sample is detected to be printed, determining that the arrived sample is a to-be-tested sample;
after the virtual warehousing, if the logistics tracking number of the arrived sample is detected to be scanned and the sample code of the arrived sample is detected to be printed, determining that the arrived sample is a to-be-controlled sample.
Specifically, the system triggers and scans the logistics tracking number of the current sample and prints a sku label, and if the logistics tracking number of the arrived sample is detected to be scanned and the sample code of the arrived sample is detected to be printed, the arrived sample is determined to be a sample to be controlled.
Or the system informs corresponding personnel to scan the logistics tracking number of the arrived sample and print the sku label of the arrived sample, and if the fact that the logistics tracking number of the arrived sample is scanned and the sku label of the arrived sample is printed by the corresponding personnel is received, the arrived sample is determined to be the sample to be controlled.
Step S45, determining a preset quality inspection process of the sample to be quality-controlled, performing quality inspection and verification on the sample to be quality-controlled based on the preset quality inspection process to obtain a verification result, and generating a verification report based on the verification result.
And determining a preset quality inspection process of the sample to be controlled.
As an example, the preset quality inspection process of the sample to be quality controlled is determined from a set of preset quality inspection processes based on the type of the sample to be quality controlled.
And performing quality inspection verification on the sample to be controlled based on the preset quality inspection flow to obtain a verification result, and generating a verification report based on the verification result.
After the step of receiving, warehousing and checking the received goods sample after detecting that the goods sample is received, and generating a checking report based on the checking result, the method further comprises the following steps:
step S50, if the goods sample is a scrapped sample, the scrapped sample is subjected to ex-warehouse treatment;
step S60, determining the returned shipment logistics tracking number of the ex-warehouse scrapped sample;
a step S70 of supplementing the returned shipment logistics tracking number into the sample sheet;
and step S80, if receiving the receiving instruction that the delivery side confirms receiving, confirming that the returning of the scrapped samples is finished.
As an example, if the incoming sample is a rejected sample, the rejected sample is subjected to ex-warehouse processing, specifically, the system notifies a new product developer that the rejected sample needs to be sent back to a supplier after quality inspection, and performs out-warehouse operation on the virtual warehouse sample.
Specifically, the system also informs a new product developer of determining a return shipment logistics tracking number of the rejected sample which is delivered from the warehouse, receives the return shipment logistics tracking number sent by the new product developer, supplements the return shipment logistics tracking number to the sample list (return list), and confirms that the return shipment of the rejected sample is completed if a receiving instruction that the shipper confirms the receiving is received, and ends the corresponding process.
As an example, (3) the samples needing to be scrapped are scrapped directly, and the whole list corresponding to the samples or a certain sample detail is scrapped directly.
Compared with the prior art that quality inspection personnel manually detect and inspect the quality of a sample and manually record the detection and audit results, so that the detection and audit efficiency of the sample is low and information feedback is not timely, in the method, after the URL address of the sample is received, whether the sample exists in a preset warehouse or not is determined based on the URL address; if the sample code does not exist, determining a sample list and a sample code of the sample, and supplementing the sample code into the sample list; sending the sample list to a sender, determining a shipping logistics tracking number of a shipping sample after the sample in the sample list is detected to be shipped, and supplementing the shipping logistics tracking number into the sample list; and after detecting that the delivery sample is delivered, receiving, warehousing and checking the delivered sample to obtain a checking result, and generating a checking report based on the checking result. In the application, a set of complete sample circulation flow is provided, and particularly, all sample circulation information from the URL address of the received sample to the sample list determination, the sample receiving, the sample delivery, the sample warehousing and the sample verification are automatically recorded by the system, so that the flow direction of the company sample and the quality of the company sample are guaranteed. That is, in this application, provide comprehensive convenient sample quality and detect and examine the service flow to supply the quality testing personnel can be quick to the sample examine and the record of data, avoid information feedback untimely.
Further, based on the first embodiment of the present application, there is provided another embodiment of the present application, in which before the step of determining the sample order and the sample code of the sample, the method comprises:
step a1, collecting a sample image of the sample;
step A2, inputting the sample image into a preset qualified sample identification model, and determining whether the sample is a qualified sample based on the preset qualified sample identification model;
step A3, if the sample image is a qualified sample, executing the step of determining the sample list and the sample code of the sample;
the preset qualified sample identification model is obtained by performing iterative training on a preset basic model based on training data with preset qualified sample labels.
As an example, the system collects a sample image of the sample through a camera or a camera, inputs the sample image into a preset qualified sample identification model, determines whether the sample is a qualified sample (non-infringing sample) based on the preset qualified sample identification model, and if the sample image is a qualified sample, performs the step of determining a sample list and a sample code of the sample; and if the sample image is not a qualified sample, not executing the subsequent process.
Before the step of inputting the sample image into a preset qualified sample identification model and determining whether the sample image is qualified based on the preset qualified sample identification model, the method comprises the following steps:
inputting the training data into the preset basic model, and predicting the training data based on the preset basic model to obtain a predicted qualified sample label;
comparing the predicted qualified sample label with the preset qualified sample label to obtain a comparison result;
based on the comparison result, adjusting the weight of the model parameter in the preset basic model, and updating the preset basic model based on the weight of the model parameter;
determining whether the updated preset basic model meets a preset iteration ending condition;
if the updated preset basic model meets the preset iteration end condition, taking the updated preset basic model as the preset qualified sample identification model;
and if the updated preset basic model does not meet the iteration ending condition, continuing to carry out iteration training on the updated preset basic model based on the training data until the iteration ending condition is met, and obtaining the preset qualified sample identification model.
In this embodiment, the iteration end condition may be that the iteration number reaches a preset number or that a preset loss function converges.
In the embodiment, the preset qualified sample identification model is accurately obtained, so that a foundation is laid for accurately determining whether a subsequent process needs to be executed, and resource waste is avoided.
Further, based on the first embodiment of the present application, another embodiment of the present application is provided, in which the step of determining a preset quality inspection process of the sample to be quality-controlled, performing a quality inspection on the sample to be quality-controlled based on the preset quality inspection process to obtain an inspection result, and generating an inspection report based on the inspection result includes:
step B1, determining the basic data of the sample to be controlled by the shipping logistics tracking number;
step B2, performing quality inspection on the sample to be tested based on the basic data of the sample to be tested and a preset quality inspection process to determine the commodity risk level of the sample to be tested;
step B3, determining the checking result of the sample to be quality-controlled based on the commodity risk grade;
and step B4, generating a check report with a preset fixed format based on the check result.
As an example, the basic data may be information of a plug, a voltage attribute, a commodity packaging requirement, and the like.
As an example, the system directly obtains basic data of the samples to be controlled uploaded by corresponding personnel.
Based on the basic data of the to-be-tested sample and a preset quality inspection process, performing quality inspection and verification on the to-be-tested sample to determine the commodity risk level of the to-be-tested sample, specifically, performing quality inspection and verification on the to-be-tested sample by a quality inspector based on the basic data of the to-be-tested sample and the preset quality inspection process to determine the commodity risk level of the to-be-tested sample, or performing quality inspection and verification on the to-be-tested sample by a system through self-comparison to determine the commodity risk level of the to-be-tested sample. Determining the checking result of the sample to be quality-controlled based on the commodity risk grade; and generating a checking report with a preset fixed format based on the checking result. Specifically, the result of the verification may be that the quality inspection of the sample passes or fails.
As an example, if the sample is of a non-acceptable quality, the system needs to determine or preserve the reject cause (non-acceptable cause), and if the sample is rejected due to rejection during the quality inspection process, the system needs to reject the sample.
As an example, the verification report or the quality inspection report is in a fixed format, and thus, the system needs to generate a verification report in a preset fixed format based on the verification result.
Or the quality inspector can record through the system: commodity inspection attribute, commodity risk level and quality inspection remark.
As an example, if the quality of the sample is qualified, the system will forward the qualified sample to the photography process and forward the unqualified sample to the corresponding new product developer.
The step of performing quality inspection on the sample to be tested based on the basic data of the sample to be tested and a preset quality inspection process to determine the commodity risk grade of the sample to be tested comprises the following steps of:
step C1, determining the input vector corresponding to the basic data;
step C2, inputting the input vector into a preset quality inspection model, and performing prediction processing on the commodity risk level of the to-be-tested sample based on the preset quality inspection model to obtain the commodity risk level of the to-be-tested sample;
the preset quality inspection model is obtained by performing iterative training on a preset basic model based on training data with preset risk level labels.
In the embodiment, the preset quality inspection model is accurately obtained, and the foundation is laid for accurately performing quality inspection due to the fact that the preset quality inspection model is accurately obtained.
Referring to fig. 2, fig. 2 is a schematic device structure diagram of a hardware operating environment according to an embodiment of the present application.
As shown in fig. 2, the apparatus for quality inspection and audit of samples may include: a processor 1001, a memory 1005, and a communication bus 1002. The communication bus 1002 is used to enable connection communication between the processor 1001 and the memory 1005.
Optionally, the device for quality inspection and audit of samples may further include a user interface, a network interface, a camera, an RF (Radio Frequency) circuit, a sensor, a WiFi module, and the like. The user interface may comprise a Display screen (Display), an input sub-module such as a Keyboard (Keyboard), and the optional user interface may also comprise a standard wired interface, a wireless interface. The network interface may include a standard wired interface, a wireless interface (e.g., WI-FI interface).
Those skilled in the art will appreciate that the configuration of the apparatus for quality inspection of a sample shown in fig. 2 does not constitute a limitation of the apparatus for quality inspection of a sample and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 2, a memory 1005 as a storage medium may include an operating system, a network communication module, and a program for quality inspection and audit of samples. The operating system is a program that manages and controls the hardware and software resources of the device for quality inspection and audit of samples, the program that supports quality inspection and audit of samples, and the execution of other software and/or programs. The network communication module is used for realizing communication among the components in the memory 1005 and with other hardware and software in the system for quality inspection and audit of samples.
In the apparatus for quality control and audit of a sample shown in fig. 2, the processor 1001 is configured to execute a program for quality control and audit of a sample stored in the memory 1005, and implement the steps of the method for quality control and audit of a sample described in any one of the above.
The specific implementation manner of the sample quality inspection and auditing device of the application is basically the same as that of each embodiment of the sample quality inspection and auditing method, and is not described herein again.
The application also provides a device that sample quality control examined and verified, the device includes:
the first determination module is used for determining whether the sample exists in a preset warehouse or not based on the URL address after the URL address of the sample is received;
the first supplementing module is used for determining a sample list and a sample code of the sample if the sample list does not exist, and supplementing the sample code into the sample list;
the second supplementing module is used for sending the sample list to a sender, determining a shipping logistics tracking number of a shipping sample after the sample in the sample list is detected to be shipped, and supplementing the shipping logistics tracking number into the sample list;
and the checking module is used for receiving, warehousing and checking the received goods sample after detecting that the delivery sample is delivered, obtaining a checking result and generating a checking report based on the checking result.
In one possible embodiment of the present application, the verification module includes:
the first detection unit is used for receiving the goods-arriving sample and determining the sample detail of the non-damaged sample after detecting that the goods-arriving sample is a non-damaged sample, and supplementing the sample detail into the sample list;
a first determination unit for determining the arrival type of the arrival sample;
the virtual warehousing unit is used for virtually warehousing the goods arriving samples if the goods arriving type is a preset non-selling type;
the second detection unit is used for determining that the arrived sample is a to-be-tested sample if the logistics tracking number of the arrived sample is detected to be scanned and the sample code of the arrived sample is printed after the arrived sample is virtually put in storage;
and the second determination unit is used for determining a preset quality inspection process of the to-be-tested sample, performing quality inspection on the to-be-tested sample based on the preset quality inspection process to obtain an inspection result, and generating an inspection report based on the inspection result.
In one possible embodiment of the present application, the apparatus further comprises:
the acquisition module is used for acquiring a sample image of the sample;
the second determination module is used for inputting the sample image into a preset qualified sample identification model and determining whether the sample is a qualified sample or not based on the preset qualified sample identification model;
the execution module is used for executing the step of determining the sample list and the sample code of the sample if the sample image is a qualified sample;
the preset qualified sample identification model is obtained by performing iterative training on a preset basic model based on training data with preset qualified sample labels.
In one possible embodiment of the present application, the apparatus further comprises:
the input module is used for inputting the training data into the preset basic model, predicting the training data based on the preset basic model and obtaining a predicted qualified sample label;
the comparison module is used for comparing the predicted qualified sample label with the preset qualified sample label to obtain a comparison result;
an adjusting module, configured to adjust a weight of a model parameter in the preset base model based on the comparison result, and update the preset base model based on the weight of the model parameter;
a third determining module, configured to determine whether the updated preset base model meets a preset iteration end condition;
a setting module, configured to take the updated preset base model as the preset qualified sample identification model if the updated preset base model meets the preset iteration end condition;
and the iteration training module is used for continuing to carry out iteration training on the updated preset basic model based on the training data until the iteration end condition is met and obtaining the preset qualified sample identification model if the updated preset basic model does not meet the iteration end condition.
In a possible embodiment of the present application, the second determining unit is configured to implement:
determining basic data of the to-be-tested control sample through the shipping logistics tracking number;
performing quality inspection verification on the sample to be controlled based on the basic data of the sample to be controlled and a preset quality inspection process to determine the commodity risk level of the sample to be controlled;
determining the checking result of the sample to be quality-controlled based on the commodity risk grade;
and generating a checking report with a preset fixed format based on the checking result.
In one possible embodiment of the present application, the second determining unit is further configured to:
determining an input vector corresponding to the basic data;
inputting the input vector into a preset quality inspection model, and performing commodity risk level prediction processing on the to-be-tested sample based on the preset quality inspection model to obtain a commodity risk level of the to-be-tested sample;
the preset quality inspection model is obtained by performing iterative training on a preset basic model based on training data with preset risk level labels.
In one possible embodiment of the present application, the apparatus is further configured to implement:
if the goods-in sample is a scrapped sample, carrying out ex-warehouse treatment on the scrapped sample;
determining a return shipment logistics tracking number of the ex-warehouse scrapped sample;
supplementing the restocked shipments logistics tracking number into the sample slip;
and if receiving a receiving instruction that the delivery party confirms to receive the goods, confirming that the returning of the scrapped samples is finished.
The specific implementation of the device for quality inspection and audit of the sample is basically the same as that of each embodiment of the method for quality inspection and audit of the sample, and is not described herein again.
The present embodiments provide a storage medium, and the storage medium stores one or more programs, which may also be executed by one or more processors for implementing the steps of the method for quality inspection and audit of samples described in any one of the above.
The specific implementation of the storage medium of the present application is substantially the same as that of each embodiment of the above method for quality inspection and audit of samples, and is not described herein again.
The present application also provides a sample of computer programs, including a computer program, which when executed by a processor implements the steps of the above-described method for quality inspection and audit of a sample.
The specific implementation of the computer program sample of the present application is substantially the same as that of each embodiment of the above-mentioned method for quality inspection and audit of the sample, and is not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element identified by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the description of the foregoing embodiments, it is clear to those skilled in the art that the method of the foregoing embodiments may be implemented by a software plus hardware platform, and may also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A method for quality inspection and audit of samples, comprising:
after receiving a URL address of a sample, determining whether the sample exists in a preset warehouse based on the URL address;
if the sample code does not exist, determining a sample list and a sample code of the sample, and supplementing the sample code into the sample list;
sending the sample list to a sender, determining a shipping logistics tracking number of a shipping sample after the sample in the sample list is detected to be shipped, and supplementing the shipping logistics tracking number into the sample list;
and after detecting that the delivery sample is delivered, receiving, warehousing and checking the delivered sample to obtain a checking result, and generating a checking report based on the checking result.
2. The method for quality inspection and audit of samples according to claim 1 wherein, after detecting the shipment of the shipping samples, the steps of receiving, warehousing and verifying the shipment samples to obtain a verification result and generating a verification report based on the verification result include:
after detecting that the delivery sample is delivered, if the delivered sample is a non-damaged sample, receiving the delivered sample, determining the sample detail of the non-damaged sample, and supplementing the sample detail into the sample list;
determining the arrival type of the arrival sample;
if the arrival type is a preset non-selling type, virtually warehousing the arrival sample;
after the virtual warehousing, if the logistics tracking number of the arrived sample is detected to be scanned and the sample code of the arrived sample is detected to be printed, determining the arrived sample as a sample to be controlled;
and determining a preset quality inspection flow of the sample to be controlled, performing quality inspection on the sample to be controlled based on the preset quality inspection flow to obtain an inspection result, and generating an inspection report based on the inspection result.
3. The method for quality inspection and review of samples according to claim 1, wherein the step of determining the sample order and the sample code of the sample is preceded by the method comprising:
collecting a sample image of the sample;
inputting the sample image into a preset qualified sample identification model, and determining whether the sample is a qualified sample based on the preset qualified sample identification model;
if the sample image is a qualified sample, executing the step of determining a sample list and a sample code of the sample;
the preset qualified sample identification model is obtained by performing iterative training on a preset basic model based on training data with preset qualified sample labels.
4. The method for quality inspection and review of samples according to claim 3, wherein the step of inputting the sample images into a predetermined qualified sample identification model and determining whether the sample images are qualified samples based on the predetermined qualified sample identification model is preceded by the step of:
inputting the training data into the preset basic model, and predicting the training data based on the preset basic model to obtain a predicted qualified sample label;
comparing the predicted qualified sample label with the preset qualified sample label to obtain a comparison result;
based on the comparison result, adjusting the weight of the model parameter in the preset basic model, and updating the preset basic model based on the weight of the model parameter;
determining whether the updated preset basic model meets a preset iteration ending condition;
if the updated preset basic model meets the preset iteration end condition, taking the updated preset basic model as the preset qualified sample identification model;
and if the updated preset basic model does not meet the iteration end condition, continuing to perform iteration training on the updated preset basic model based on the training data until the iteration end condition is met, and obtaining the preset qualified sample identification model.
5. The method for quality inspection and audit of samples according to claim 2 wherein the steps of determining the predetermined quality inspection process of the sample to be quality controlled, performing quality inspection on the sample to be quality controlled based on the predetermined quality inspection process to obtain an inspection result, and generating an inspection report based on the inspection result include:
determining basic data of the to-be-tested control sample through the shipping logistics tracking number;
performing quality inspection verification on the sample to be controlled based on the basic data of the sample to be controlled and a preset quality inspection process to determine the commodity risk level of the sample to be controlled;
determining the checking result of the sample to be quality-controlled based on the commodity risk grade;
and generating a checking report with a preset fixed format based on the checking result.
6. The method for quality inspection and audit of samples according to claim 5 wherein the step of performing quality inspection and verification on the samples to be quality-controlled based on the basic data of the samples to be quality-controlled and a predetermined quality inspection process to determine the commodity risk level of the samples to be quality-controlled comprises:
determining an input vector corresponding to the basic data;
inputting the input vector into a preset quality inspection model, and performing commodity risk level prediction processing on the to-be-tested sample based on the preset quality inspection model to obtain a commodity risk level of the to-be-tested sample;
the preset quality inspection model is obtained by performing iterative training on a preset basic model based on training data with preset risk level labels.
7. The method for quality inspection and audit of samples according to claim 1 wherein after the steps of detecting the shipment of the shipping samples, receiving, warehousing and verifying the shipment samples to obtain a verification result, and generating a verification report based on the verification result, the method further comprises:
if the goods-in sample is a scrapped sample, carrying out ex-warehouse treatment on the scrapped sample;
determining a return shipment logistics tracking number of the ex-warehouse scrapped sample;
supplementing the restocked shipments logistics tracking number into the sample slip;
and if receiving a receiving instruction that the delivery party confirms to receive the goods, confirming that the returning of the scrapped samples is finished.
8. An apparatus for quality inspection and audit of samples, wherein the apparatus for quality inspection and audit of samples comprises:
the first determination module is used for determining whether the sample exists in a preset warehouse or not based on the URL address after the URL address of the sample is received;
a first supplementing module, configured to determine a sample list and a sample code of the sample if the sample list and the sample code do not exist, and supplement the sample code to the sample list;
the second supplementing module is used for sending the sample list to a sender, determining a shipping logistics tracking number of a shipping sample after the sample in the sample list is detected to be shipped, and supplementing the shipping logistics tracking number into the sample list;
and the checking module is used for receiving, warehousing and checking the received goods sample after detecting that the delivery sample is delivered, obtaining a checking result and generating a checking report based on the checking result.
9. An apparatus for quality control and audit of a sample, comprising a memory, a processor and a program for quality control and audit of a sample stored in the memory and executable on the processor, wherein the processor when executing the program for quality control and audit of a sample implements the steps of the method for quality control and audit of a sample according to any one of claims 1 to 7.
10. A storage medium having stored thereon a program for quality inspection and review of a sample, which program, when executed by a processor, carries out the steps of the method for quality inspection and review of a sample according to any one of claims 1 to 7.
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