Quality inspection analysis system

Abstract

A quality inspection analysis system comprises an arrival commodity information acquisition module, a quality inspection standard management module, a quality inspection plan module, a quality inspection execution module, a quality inspection analysis module and a quality inspection recording module. The arrival commodity information acquisition module is used for acquiring basic information of arrival commodities; the quality inspection standard management module uniformly maintains the quality inspection standard of each category to ensure that the quality inspection is executed according to the same standard in the quality inspection execution process; the quality inspection plan module automatically generates a quality inspection plan; through cooperative operation of a first acquisition unit and a second acquisition unit of the quality inspection execution module, visual monitoring of a quality inspection process and automatic acquisition of quality inspection data are realized, and fairness of a quality inspection result and data authenticity are guaranteed. The quality inspection record module realizes organic integration and deep association of whole-process data through an automatic quality inspection record generation unit, and forms a quality inspection record to be stored in a secondary quality inspection database; transparent quality inspection process, accurate result and efficient management are realized.

Description

Technical Field

[0001] This application relates to the technical field of quality inspection and analysis, and specifically relates to a quality inspection and analysis system. Background Art

[0002] The quality inspection process is characterized by complexity, professionalism, and strong subjective judgment. Moreover, the lack of a full-process traceability mechanism for loss attribution leads to frequent disputes over quality inspection results. Especially in the fresh food industry, due to the long trading chain, perishable nature of goods, and close cooperation among all links in the supply chain, the problem of disputes is more prominent, seriously affecting the supply chain efficiency. The core crux lies in: First, the lack of unity in the quality inspection standard system: There is a lack of a unified standard evaluation mechanism based on industry characteristics (such as the freshness of fresh products and the sensitivity to transportation environment). The implementation standards for each link (suppliers, warehousing, sales) are vague and subject to arbitrary changes (such as the repeated adjustment of the deduction rules for the same product in different batches), resulting in the lack of credibility of quality inspection results and becoming the source of disputes. Second, the systematic gap in the quality inspection traceability mechanism: Currently, a supervision mechanism covering the entire quality inspection process has not been constructed, resulting in the inability to accurately determine the node where losses occur and the attribution of losses, thus falling into the dilemma of "lack of data evidence" - that is, the root cause of losses cannot be traced (lacking basic information of goods and quality inspection operation records). This "lack of data evidence" makes loss analysis rely on subjective speculation for a long time, rather than empirical analysis based on objective data. Eventually, the supply chain optimization measures lack pertinence, and the same quality problems occur repeatedly. Summary of the Invention

[0003] In view of the above problems, this application provides a quality inspection and analysis system to solve the above problems.

[0004] To achieve the above object, the inventor provides a quality inspection and analysis system, which includes: An arriving goods information acquisition module, used to acquire the basic information of arriving goods; the basic information of the arriving goods includes a supply - end identifier, a store identifier, a store order number, a batch number, an arrival time, a product variety, a product name, and a quantity of goods. A quality inspection standard management module, including a quality inspection standard system management unit and a quality inspection item standard management unit; the quality inspection standard system management unit is used to construct a quality inspection standard system for different varieties, and each quality inspection standard system includes at least one quality inspection item; the quality inspection item standard management unit is used to define the quality inspection item standard. A quality inspection plan module, receives the basic information of the arriving goods from the arriving goods information module, obtains the status of the quality inspection bench for the corresponding variety from the quality inspection execution module according to the product variety of the arriving goods, and generates a quality inspection plan based on the quality inspection standard system for the corresponding variety. The quality inspection execution module includes a first acquisition unit and a second acquisition unit arranged on the quality inspection table. The first acquisition unit acquires the quality inspection video of the incoming goods during the quality inspection execution process; the second acquisition unit acquires the quality inspection data of the incoming goods according to the quality inspection plan; The quality inspection analysis module analyzes the received quality inspection data based on the quality inspection item standards in the quality inspection standard system corresponding to the variety to obtain the quality inspection analysis result; The quality inspection record module includes an automatically generated quality inspection record unit. The automatically generated quality inspection record unit associates the basic information of the incoming goods, the corresponding quality inspection plan, quality inspection data, quality inspection video, and quality inspection analysis result, and provides a unique quality inspection identifier to form a quality inspection record and save it in the slave quality inspection database.

[0005] Further, the quality inspection video includes pausing the quality inspection during the process from the start of quality inspection to the end of quality inspection.

[0006] Further, the quality inspection plan includes the variety of incoming goods, sampling plan, sampling quantity, quality inspection items, quality inspection table identifier, quality inspection time, and quality inspection personnel.

[0007] Further, the second acquisition unit includes a temperature sensor, a salinity sensor, and a weight sensor.

[0008] Further, the quality inspection execution module further includes a quality inspection input unit arranged on the quality inspection table. The quality inspection input unit receives the input quality inspection data of the incoming goods.

[0009] Further, the quality inspection record module further provides an actively supplemented quality inspection record unit. The actively supplemented quality inspection record unit receives the supplemented basic information, quality inspection plan, quality inspection data, quality inspection video, and quality inspection analysis result of the incoming goods, and provides a unique quality inspection identifier to form a quality inspection record and save it in the slave quality inspection database.

[0010] Further, it further includes a loss attribution module. The loss attribution module performs statistical analysis on the selected quality inspection records to obtain the loss attribution result. The quality inspection records are selected from the quality inspection database according to the provided screening conditions.

[0011] Further, the loss attribution module includes a loss attribution model. The loss attribution model performs statistical analysis on the selected quality inspection records to obtain the loss attribution result.

[0012] Further, it further includes a report generation module. The report generation module has multiple preset report templates built-in and automatically matches and generates corresponding reports according to the request conditions.

[0013] Further, it further includes a query and display module. The query and display module performs visual display according to the provided query conditions.

[0014] Different from the prior art, the quality inspection standard management module in the above technical solution uniformly maintains the quality inspection standards for each category to ensure that the quality inspection is carried out according to the same standard during the quality inspection execution process; the quality inspection plan module automatically generates the quality inspection plan, avoiding the randomness of manual plan formulation and ensuring the comprehensiveness of quality inspection coverage; the coordinated operation of the first acquisition unit and the second acquisition unit in the quality inspection execution module realizes the visual monitoring of the quality inspection process and the automatic acquisition of quality inspection data. The quality inspection video records the operation process, and the quality inspection data provides quantitative evidence. The two corroborate each other, fundamentally ensuring the fairness of the quality inspection results and the authenticity of the data; the quality inspection record module realizes the organic integration and in-depth association of the whole-process data through the automatically generated quality inspection record unit, so as to associate the basic information of the incoming goods with the corresponding quality inspection plan, quality inspection data, quality inspection video, and quality inspection analysis results, and form a quality inspection record to be stored in the quality inspection database; realizing the transparency of the quality inspection process, the accuracy of the results, and the high efficiency of management.

[0015] The above description of the invention content is only an overview of the technical solution of this application. In order to enable those of ordinary skill in the art to more clearly understand the technical solution of this application, and then can be implemented according to the content recorded in the text of the specification and the drawings, and in order to make the above objects, other objects, features and advantages of this application more easily understood, the following is described in conjunction with the specific implementation manners and drawings of this application. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings are only used to illustrate the principles, implementation methods, applications, features, and effects of the specific implementation manners of the present invention and other related contents, and should not be considered as a limitation to this application.

[0017] In the drawings of the specification: Figure 1 It is a schematic diagram of the module execution of the quality inspection analysis system described in the specific implementation manner; Figure 2 It is a schematic diagram of the module structure of the second acquisition unit described in the specific implementation manner; Figure 3 It is a schematic diagram of the structure of the quality inspection execution module described in the specific implementation manner; Figure 4 It is a schematic diagram of the structure of the quality inspection record module described in the specific implementation manner; Figure 5 It is a schematic diagram of the module structure of the quality inspection analysis system described in the specific implementation manner.

[0018] The description of the reference numerals involved in the above drawings is as follows: 10. Incoming goods information acquisition module; 20. Quality inspection standard management module; 201. Quality inspection standard system management unit; 202. Quality inspection item standard management unit; 30. Quality inspection plan module; 40. Quality inspection execution module; 401. First acquisition unit; 402. Second acquisition unit; 403. Quality inspection input unit; 50. Quality inspection analysis module; 60. Quality inspection record module; 601. Automatically generate quality inspection record unit; 602. Actively supplement quality inspection record unit; 70. Quality inspection database; 80. Loss attribution module; 90. Report generation module; 100. Query and display module. Specific implementation manners

[0019] To illustrate in detail the possible application scenarios, technical principles, specific implementable solutions, achievable purposes and effects of this application, the following is described in detail with reference to the listed specific embodiments and in conjunction with the accompanying drawings. The embodiments described herein are only used to more clearly illustrate the technical solutions of this application, so they are only used as examples and cannot be used to limit the protection scope of this application.

[0020] Referring to "embodiments" herein means that the specific features, structures or characteristics described in conjunction with the embodiments can be included in at least one embodiment of this application. The term "embodiment" appearing in various positions in the specification does not necessarily refer to the same embodiment, nor does it particularly limit its independence or relevance to other embodiments. In principle, in this application, as long as there is no technical contradiction or conflict, the technical features mentioned in each embodiment can be combined in any way to form corresponding implementable technical solutions.

[0021] Unless otherwise defined, the meanings of the technical terms used herein are the same as those generally understood by those skilled in the technical field to which this application belongs; the use of the relevant terms herein is only for describing specific embodiments and is not intended to limit this application.

[0022] In the description of this application, the term "and / or" is an expression used to describe the logical relationship between objects, indicating that there can be three relationships. For example, A and / or B means: there is A, there is B, and there is both A and B at the same time. In addition, the character " / " herein generally represents an "or" logical relationship between the associated objects before and after.

[0023] In this application, terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual quantity, primary-secondary or order relationship between these entities or operations.

[0024] Without further limitation, in this application, the use of open-ended expressions such as "including", "comprising", "having" or other similar expressions in a statement is intended to cover non-exclusive inclusion. These expressions do not exclude the possibility that there may be additional elements in a process, method or product that includes the said elements. Thus, in a process, method or product that includes a series of elements, it may include not only those defined elements, but also other elements not expressly listed, or elements inherent to such a process, method or product.

[0025] Similar to the understanding in the Examination Guidelines, in this application, expressions such as "greater than", "less than", "exceeding" are understood not to include the recited number; expressions such as "above", "below", "within" are understood to include the recited number. In addition, in the description of the embodiments of this application, the meaning of "a plurality of" is two or more (including two). Similar expressions related to "many", such as "multiple groups", "multiple times", etc., are to be understood in this way, unless otherwise specifically defined.

[0026] In the description of the embodiments of this application, spatial-related expressions such as "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "perpendicular", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc. indicate the orientation or positional relationship based on the orientation or positional relationship shown in a specific embodiment or drawing. This is only for the convenience of describing the specific embodiments of this application or for the reader's understanding, rather than indicating or implying that the device or component referred to must have a specific position, a specific orientation, or be constructed or operated in a specific orientation. Therefore, it should not be construed as a limitation on the embodiments of this application.

[0027] The processor described in the embodiments of the present application may be implemented by hardware, firmware, software, or a combination thereof, and may use a circuit, one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), central processing units (CPUs), controllers, microcontrollers, microprocessors, or at least one of the above, and also includes other physical, biological, or chemical structures that can implement functions similar to or equivalent to those of the above-listed processors, such as biological neurons, quantum computing units, DNA computing units, etc., so that the processor can execute some steps, all steps, or any combination of the steps mentioned in the computer programs or methods involved in the various embodiments of the present application.

[0028] The computer programs involved in the embodiments can be stored in a computer-readable storage medium, which includes but is not limited to magnetic disks, magnetic tapes, magnetic cards, floppy disks, flash memories, optical discs, optical cards, read-only memories (ROMs), random access memories (RAMs), erasable programmable ROMs (EPROMs), and electrically erasable programmable ROMs (EEPROMs), etc. It also includes other biological, physical, or chemical structures that can achieve the same or equivalent functions as the above-listed storage media, such as units with information storage capabilities like DNA, RNA, proteins, etc. In a specific embodiment, the storage medium involved can be one of the above medium types or a combination of the above medium types. In different embodiments, the computer programs involved in the embodiments can be centrally stored in a single medium or distributedly stored in multiple media. The memory containing the computer-readable storage medium can be a non-volatile memory or a random access memory. These computer-readable storage media can be built into the device or connected to the device involved in the embodiment as an external device or a part of an external device. In some embodiments, the memory with the computer-readable storage medium is deployed locally; in other embodiments, a scheme of deploying the memory away from the processor can also be adopted, such as a network-attached memory accessed via an RF circuit or an external port and a communication network, where the communication network can be the Internet, one or more intranets, local area networks (LANs), wide area wireless networks (WLANs), storage area networks (SANs), etc., or a suitable combination thereof, as long as the computer device can access the memory. In addition, the computer programs involved in the embodiments can be stored in plaintext / ciphertext form or designed as training data and implicitly stored in the parameter states of deep neural networks or other machine learning models through model training and integration and recombination.

[0029] See Figures 1-5 As shown, a quality inspection analysis system transforms the traditional quality inspection mode that "relies on manual experience" into a modern quality inspection analysis mode of "data-driven, leaving traces throughout the process, and accountability traceable", achieving transparency in the quality inspection process, accuracy of results, and high efficiency in management. This quality inspection analysis system has high industry adaptability and is widely applicable to scenarios with strict quality control requirements, including but not limited to the manufacturing industry, the pharmaceutical and medical device industries, the fast-moving consumer goods industry, etc. It is particularly applicable to the fresh food industry - due to its characteristics of long transaction links, perishable and fresh goods, and close multi-link collaboration.

[0030] See Figure 1As shown in the figure, this application proposes a quality inspection analysis system, which includes an incoming goods information acquisition module 10, a quality inspection standard management module 20, a quality inspection plan module 30, a quality inspection execution module 40, a quality inspection analysis module 50, and a quality inspection record module 60. The incoming goods information acquisition module 10 is used to acquire the basic information of incoming goods. The quality inspection standard management module 20 uniformly maintains the quality inspection standards for each category to ensure that the quality inspection is carried out according to the same standard during the quality inspection execution process. The quality inspection plan module 30 automatically generates a quality inspection plan, avoiding the randomness of manual plan formulation and ensuring the comprehensiveness of quality inspection coverage. The coordinated operation of the first acquisition unit 401 and the second acquisition unit 402 of the quality inspection execution module 40 realizes the visual monitoring of the quality inspection process and the automatic acquisition of quality inspection data. The quality inspection video records the operation process, and the quality inspection data provides quantitative evidence. The two corroborate each other, fundamentally ensuring the fairness of the quality inspection results and the authenticity of the data. The quality inspection record module 60 realizes the organic integration and in-depth association of the whole-process data through the automatically generated quality inspection record unit 601, so that the basic information of the incoming goods, the corresponding quality inspection plan, quality inspection data, quality inspection video, and quality inspection analysis results are associated, and the quality inspection record is saved in the quality inspection database 70, realizing the transparency of the quality inspection process, the accuracy of the results, and the high efficiency of management.

[0031] The following combines Figure 1 , to provide an implementation method of a quality inspection analysis system, which includes: An incoming goods information acquisition module 10, which is used to acquire the basic information of incoming goods; the basic information of the incoming goods includes a supply end identifier, a store identifier, a store order number, a batch number, an arrival time, a commodity variety, a commodity name, and a commodity quantity.

[0032] A quality inspection standard management module 20, which includes a quality inspection standard system management unit 201 and a quality inspection item standard management unit 202. The quality inspection standard system management unit 201 is used to construct a quality inspection standard system for different varieties, and each quality inspection standard system includes at least one quality inspection item. The quality inspection item standard management unit 202 is used to define the quality inspection item standard. A quality inspection plan module 30, which receives the basic information of the incoming goods from the incoming goods information module, and obtains the quality inspection table status of the corresponding variety from the quality inspection execution module 40 according to the commodity variety of the incoming goods, and generates a quality inspection plan based on the quality inspection standard system of the corresponding variety. A quality inspection execution module 40, which includes a first acquisition unit 401 and a second acquisition unit 402 arranged on the quality inspection table. The first acquisition unit 401 acquires the quality inspection video of the incoming goods during the quality inspection execution process. The second acquisition unit 402 acquires the quality inspection data of the incoming goods according to the quality inspection plan. A quality inspection analysis module 50, which analyzes the received quality inspection data based on the quality inspection item standard in the quality inspection standard system of the corresponding variety to obtain a quality inspection analysis result. The quality inspection record module 60 includes an automatic quality inspection record generation unit 601. The automatic quality inspection record generation unit 601 associates the basic information of the arrived goods, the corresponding quality inspection plan, quality inspection data, quality inspection videos, and quality inspection analysis results, and provides a unique quality inspection identifier, and forms a quality inspection record to be stored in the slave quality inspection database 70.

[0033] The above-mentioned arrived goods information acquisition module 10, as the pre-core link of the quality inspection analysis system, is used to obtain the basic information of the arrived goods. The basic information of the arrived goods includes but is not limited to the supplier identification, store identification, store order number, batch, arrival time, product variety, product name, product quantity, etc. The basic information of the arrived goods is not only the basic basis for subsequent quality inspection standard matching, sampling plan formulation, and test item execution, but also an important data node for building a full-link quality traceability system. After the quality inspection is completed, the basic information of the arrived goods, the corresponding quality inspection plan, quality inspection data, quality inspection videos, and quality inspection analysis results are associated. Once there is a loss dispute, the loss occurrence node (before quality inspection, during quality inspection, or after quality inspection) and loss attribution can be quickly traced through the basic information of the arrived goods, and the root cause of the loss can be accurately located. The basic information of the arrived goods can be obtained by using Internet of Things devices to read the physical information of the goods in real time, such as using a handheld PDA, a fixed barcode scanner, or a channel scanner to read the barcode on the product packaging, or by using an RFID reader to read the information on the product label chip (the arrived goods are pre-installed with RFID tags); it can also be obtained by cross-system data synchronization through an API interface or file transfer (such as pulling logistics system data, importing electronic documents); it can also be obtained by manual entry, such as manual entry on the mobile terminal, voice recognition input, digital recognition of paper documents (such as OCR technology), etc.

[0034] The above quality inspection standard management module 20 includes a quality inspection standard system management unit 201 and a quality inspection item standard management unit 202; the quality inspection standard system management unit 201 establishes a quality inspection standard system for each variety based on the characteristics of the incoming goods of different varieties, industry standards, and its own quality requirements. Among them, the quality inspection standard system for each variety contains a series of quality inspection items adapted to it (for example, in the fresh food industry, the quality inspection items for fish include appearance, size, weight, salinity, temperature of the temporary holding bucket, etc.), and these quality inspection items are interrelated. The establishment of the quality inspection standard system facilitates the generation of a quality inspection plan by automatically matching the quality inspection standard system of the corresponding variety from the constructed quality inspection standard system library according to the variety information of the incoming goods when the quality inspection plan module 30 is executed. Taking the fresh food industry as an example, quality inspection standard systems are constructed for different varieties such as fish, shrimp, and shellfish. For example, when fish goods arrive in the fresh food industry, the system will quickly call the fish quality inspection standard system to generate a specific quality inspection plan, which includes a series of quality inspection items adapted to it. There is no need for manual selection of quality inspection items, which improves the efficiency of the quality inspection work and also avoids deviations in the implementation of quality inspection standards caused by human selection errors, ensuring that each type of commodity can be strictly inspected according to its exclusive standard. At the same time, the quality inspection standard system management unit 201 has scalability. As the business develops and the types of commodities increase, it is convenient to add or modify the quality inspection standard system. For example, when introducing other new fish varieties, it is only necessary to add the exclusive quality inspection standard system for the new fish variety in the quality inspection standard system, ensuring that the quality inspection standard system can continuously adapt to the needs of the enterprise's business changes.

[0035] The quality inspection item standard management unit 202 defines specific passing standards for each quality inspection item. Taking the quality inspection items of fish in the fresh food industry as an example, for the "appearance" quality inspection item, the passing standard may be defined as the fish body being intact, no large-scale shedding of scales, and no obvious external injuries; for the "size" quality inspection item, the passing ranges of the body length and body width of different varieties of fish will be specified; for the "weight" item, the weight ranges of different varieties of fish will be set; the "salinity" and "temperature" of the temporary holding bucket will also determine the precise numerical ranges according to the habits of different varieties of fish. The formulation of these standards can refer to industry general standards, commodity characteristics, and agreements between the enterprise and suppliers to ensure the authority and reliability of the quality inspection results. The setting of quality inspection item standards facilitates the real-time comparison and analysis of the passing standards stored in the quality inspection item standard management unit 202 with the actual quality inspection data during the execution of the quality inspection analysis module 50. For example, when inspecting a certain variety of fish, the system will compare the quality inspection data such as appearance, size, weight, salinity, and temperature of the temporary holding bucket obtained by the quality inspection execution module 40 with the corresponding passing standards one by one to automatically determine whether the quality inspection data of each quality inspection item is qualified.

[0036] The above-mentioned quality inspection plan module 30 is used to generate a quality inspection plan. The quality inspection plan includes but is not limited to the variety of arriving goods, sampling scheme, sampling quantity, quality inspection items, quality inspection station identification, quality inspection time and quality inspection personnel. The quality inspection plan module 30 receives the basic information of the arriving goods from the arrival goods information module, and the basic information of the arriving goods includes but is not limited to the supply-side identification, store identification, store order number, batch, arrival time, commodity variety, commodity name, commodity quantity, etc.; according to the commodity variety of the arriving goods, the quality inspection station status of the corresponding variety is obtained from the quality inspection execution module 40, and the quality inspection station status includes the idle / occupied status of the quality inspection station, the current task progress in the occupied state, etc.; the obtained quality inspection station status of the corresponding variety is used to allocate a quality inspection station for the arriving goods, that is, the quality inspection station identification in the quality inspection plan. For example, when the arriving commodity is sea bass, the sea bass needs to complete quality inspection at the low-temperature quality inspection station, and the quality inspection execution module 40 confirms that the low-temperature quality inspection station No. 3 is in an idle state and can be used for this quality inspection task. Specifically, the idle / occupied status of the quality inspection station can be obtained from the usage of the first acquisition unit 401 and the second acquisition unit 402 of the quality inspection execution module 40; the current task progress in the occupied state can be obtained from the quality inspection items in the current quality inspection plan and the quality inspection data of the quality inspection items that have been obtained. According to the commodity variety of the arriving goods, the quality inspection standard system of the corresponding variety can be retrieved from the quality inspection standard management module 20, and the quality inspection standard system of the corresponding variety includes the quality inspection items in the quality inspection plan. The sampling plan and sampling quantity in the quality inspection plan can be automatically generated according to the commodity quantity of the arriving goods and the built-in sampling rules (such as random sampling, systematic sampling, sampling of the entire temporary holding barrel, and sampling of commodities with different heights in the temporary holding barrel), and then the sampling quantity is obtained. Taking systematic sampling as an example, if 20 temporary holding barrels of perch arrive, 5 temporary holding barrels need to be sampled according to the standard calculation, and 5 fish are sampled from each temporary holding barrel for quality inspection to ensure that the sample is statistically representative; the sampling quantity can also be dynamically adjusted according to the supplier's supply history, commodity risk level, etc. For example, when the batch failure rate increases, a tightening plan (such as increasing the sample size by 50%) is initiated to urge suppliers to improve. When the qualified rate of multiple batches exceeds the prepared rate, a relaxation plan (such as reducing the sample size by 30%) can be adopted to improve quality inspection efficiency.

[0037] The quality inspection execution module 40 includes a first acquisition unit 401 and a second acquisition unit 402 set at the quality inspection station. Through the coordinated operation of the first acquisition unit 401 and the second acquisition unit 402, the visual monitoring of the quality inspection process and the automatic collection of quality inspection data are realized. The quality inspection video records the operation process, and the quality inspection data provides quantitative evidence. The two corroborate each other, fundamentally ensuring the fairness of the quality inspection results and the authenticity of the data. There are several quality inspection stations for quality inspection of different commodity varieties. Each commodity variety has at least one corresponding quality inspection station.

[0038] The first acquisition unit 401 may be a camera, which is deployed at the key perspectives of each quality inspection station to ensure clear and complete quality inspection videos are captured during the quality inspection process, providing a visual evidence chain for quality inspection. When there are disputes over quality inspection results (such as when a supplier questions the unfairness of the "death loss" determination), the corresponding quality inspection videos can be retrieved. The timestamps in the videos are completely synchronized with the quality inspection data acquisition time, enabling the accurate restoration of the quality inspector's operation process (such as whether they temporarily raise the goods according to the standard and whether the measurement methods are standardized), clarifying the responsibility for losses, and reducing doubts such as "data tampering" and "arbitrary changes to standards". Preferably, the quality inspection videos include pauses during the quality inspection process from the start to the end; including the pause operations during the quality inspection process in the video recording ensures the integrity of the quality inspection process, restores the real scenario (such as equipment debugging, temporarily handling emergencies, etc. that cause pauses), and avoids misunderstandings caused by information loss; at the same time, it also clarifies that pause operations need to be recorded, which can prompt quality inspectors to execute the operation process more standardly and avoid random pauses or non-compliant operations during the pause time. When there are quality disputes, the complete video record allows managers or arbitrators to comprehensively understand every detail of the quality inspection, including the operation status and commodity conditions before and after the pause, so as to accurately judge the responsibility attribution and avoid misjudgments caused by incomplete information.

[0039] The second acquisition unit 402 integrates several sensors and can be flexibly configured according to commodity characteristics and quality inspection items. See Figure 2 As shown, in the fresh food industry, it may include temperature sensors, salinity sensors, weight sensors, etc. Among them, the temperature sensor can be used to obtain the temperature of the water in the temporary raising bucket, the salinity sensor can be used to obtain the salinity of the water in the temporary raising bucket, and the weight sensor can be used to obtain the weight of the fresh food; the quality inspection data of the incoming goods are collected by the sensors and directly transmitted without manual transfer, avoiding manual input errors and the risk of tampering. For example, after the electronic scale weighs, the data is automatically collected and transmitted to the required module, and the quality inspector can only view the results and has no right to modify the original values.

[0040] See Figure 3As shown, in some embodiments, the quality inspection execution module 40 further includes a quality inspection input unit 403 provided on quality inspection platforms for different varieties. The quality inspection input unit 403 receives the quality inspection data of the incoming goods. The quality inspection input unit 403 is equipped with a variety of terminal devices to adapt to different quality inspection scenarios. Commonly used ones include tablets, handheld PDAs, etc. For quality inspection data that cannot be obtained through sensors, such as the sensory characteristics of goods (color, smell, taste), subjective evaluations (appearance aesthetics, assembly rationality), etc., they can be detailedly recorded through the quality inspection input unit 403. For example, a waterproof and dustproof tablet is equipped on the fresh food quality inspection platform, which is convenient for quality inspectors to quickly input quality inspection data such as the color and freshness of fish in a humid environment. The quality inspection input unit 403 also supports uploading multimedia materials such as photos and videos. For example, if it is found that there is local rot in fresh products, photos of the local rot area and its area can be uploaded in the quality inspection input unit 403, which is convenient for subsequent traceability and analysis.

[0041] The above-mentioned quality inspection analysis module 50 analyzes the received quality inspection data based on the quality inspection item standards in the quality inspection standard system corresponding to the variety. It can directly compare the quality inspection data with the thresholds set by the quality inspection item standards and output the result of "qualified / unqualified". For example, the actual weight of a certain perch sample is measured as 485g (the standard is 500g ± 3%, that is, 485 - 515g), and it is determined to be qualified; if the actual measurement is 480g, it is marked as unqualified in weight.

[0042] The above-mentioned quality inspection record module 60 realizes the organic integration and in-depth association of the whole-process data through the automatically generated quality inspection record unit 601 to form a quality inspection record. The automatically generated quality inspection record unit 601 is connected to the incoming goods information module, the quality inspection plan module 30, the quality inspection execution module 40, and the quality inspection analysis module 50. It establishes a data mapping relationship through a unique quality inspection identifier (such as a combination formed by a timestamp + quality inspection platform identifier + quality inspection sequence) to ensure that all data points to the same quality inspection object, so that the basic information of the incoming goods and the corresponding quality inspection plan, quality inspection data, quality inspection video, and quality inspection analysis results are associated and a quality inspection record is formed and saved in the quality inspection database 70.

[0043] See Figure 4As shown, in some embodiments, the quality inspection record module 60 further provides an active supplementary recording unit 602 for quality inspection records. The active supplementary recording unit 602 for quality inspection records receives the basic information, quality inspection plan, quality inspection data, quality inspection videos, and quality inspection analysis results of the arriving goods to be supplemented, and provides a unique quality inspection identifier to form a quality inspection record and save it in the slave quality inspection database 70. The active supplementary recording unit 602 for quality inspection records can be used in scenarios such as sudden failures (e.g., data not being uploaded due to network interruption), to ensure no data is missed through manual supplementary recording; or for temporarily arriving goods without a pre-created quality inspection plan, directly generate a quality inspection record through the active supplementary recording unit for quality inspection records, skipping the plan approval link in the regular process and shortening the quality inspection cycle; or when some modules malfunction, manually supplement some data, such as the basic information that fails to be obtained due to reasons such as the supplier not providing it in a timely manner or abnormal system docking; or a quality inspection plan for a temporarily added quality inspection item when the quality inspection standard system has not yet been provided; or quality inspection data not collected due to sensor failure; or quality inspection videos not collected due to camera failure; or the quality inspection analysis results of the corrected conclusions after manual review (such as the secondary determination results for a disputed batch). The active supplementary recording unit 602 for quality inspection records also establishes a data mapping relationship through a unique quality inspection identifier (such as a combination formed by a timestamp + quality inspection table identifier + quality inspection sequence), ensuring that all data points to the same quality inspection object, so that the basic information of the arriving goods and the corresponding quality inspection plan, quality inspection data, quality inspection videos, and quality inspection analysis results are associated to form a quality inspection record and save it in the slave quality inspection database 70. The active supplementary recording unit 602 for quality inspection records ensures that quality inspection data is not lost under any circumstances and maintains the integrity of the traceability system.

[0044] See Figure 5 As shown, in some embodiments, it further includes a loss attribution module 80. The loss attribution module 80 performs statistical analysis on the selected quality inspection records to obtain loss attribution results. The quality inspection records are selected from the quality inspection database 70 according to the provided screening conditions. The screening conditions can be one or more of a specific time period, commodity variety, supplier, etc. For example, select the quality inspection records of prawns supplied by a certain supplier in May 2025 and statistically analyze the trend of the loss rate fluctuation. Descriptive statistics (such as calculating the loss rate, the distribution of non-conformance rates for each quality inspection item, etc.), correlation analysis (such as identifying the correlation between losses and influencing factors), causal presumption analysis (such as locating the main loss source through comparative analysis, for example, the high mortality rate of prawns from supplier A is due to water quality problems in the breeding link), etc. statistical analysis can be performed on the quality inspection records retrieved from the quality inspection database 70 that meet the screening conditions. Specifically, multiple loss attribution models can be built in, and the required loss attribution model can be selected to meet the needs of different statistical analyses. That is, the loss attribution module 80 includes a loss attribution model, and the loss attribution model performs statistical analysis on the selected quality inspection records to obtain loss attribution results.

[0045] See Figure 5 As shown, in some embodiments, there is also a report generation module 90 for assisting users in quickly understanding. The report generation module 90 has multiple preset report templates built-in, which automatically match and generate corresponding reports according to the request conditions. The report templates are one or more templates preset for each report type, and the report types include supplier quality assessment reports, quality inspection analysis reports, loss attribution reports, etc. Each report template contains a fixed format framework, chart types, data indicators, and display logics. The chart types include bar charts (comparison of loss rates of each supplier), pie charts (proportion of loss reasons), trend lines (trend of loss rate changing over time), etc. The request conditions may include time range, data source range (automatically generated quality inspection records, actively supplemented quality inspection records, or all quality inspection records), report type, core display content of the report content, etc.

[0046] See Figure 5 As shown, in some embodiments, there is also a query and display module 100, and the query and display module 100 performs visual display according to the provided query conditions. The query and display module 100 realizes the information traceability of the process of goods from arrival, quality inspection to warehousing. All quality inspection records and related information of the arrived goods can be quickly queried through the query conditions, including quality inspectors, quality inspection time, quality inspection results, handling situations, etc., which is convenient for tracing and responsibility determination in case of quality problems. The query conditions may include one or more of the basic information of the arrived goods, quality inspection time, quality inspection identification, etc.

[0047] Finally, it should be noted that although the above embodiments have been described in the text and drawings of the specification of this application, the patent protection scope of this application cannot be limited thereby. Any technical solutions obtained by equivalent structure or equivalent process substitution or modification made by using the content recorded in the text and drawings of the specification of this application based on the essential concept of this application, and any technical solutions directly or indirectly implementing the above embodiments in other related technical fields, etc., are all included in the patent protection scope of this application.

Claims

1. A quality inspection analysis system, characterized in that, Including: An arriving goods information acquisition module for acquiring the basic information of arriving goods; the basic information of the arriving goods includes a supplier identifier, a store identifier, a store order number, a batch number, an arrival time, a commodity variety, a commodity name, and a commodity quantity. A quality inspection standard management module, including a quality inspection standard system management unit and a quality inspection item standard management unit; the quality inspection standard system management unit is used to construct quality inspection standard systems for different varieties, and each quality inspection standard system includes at least one quality inspection item; the quality inspection item standard management unit is used to define quality inspection item standards. A quality inspection plan module, which receives the basic information of the arriving goods from the arriving goods information module, obtains the quality inspection table status of the corresponding variety from the quality inspection execution module according to the commodity variety of the arriving goods, and generates a quality inspection plan based on the quality inspection standard system of the corresponding variety. A quality inspection execution module, including a first acquisition unit and a second acquisition unit arranged on the quality inspection table, where the first acquisition unit acquires the quality inspection video of the arriving goods during the quality inspection execution process. The second acquisition unit acquires the quality inspection data of the arriving goods according to the quality inspection plan. A quality inspection analysis module, which analyzes the received quality inspection data based on the quality inspection item standards in the quality inspection standard system of the corresponding variety to obtain a quality inspection analysis result. A quality inspection record module, including an automatically generated quality inspection record unit, which associates the basic information of the arriving goods, the corresponding quality inspection plan, quality inspection data, quality inspection video, and quality inspection analysis result, and provides a unique quality inspection identifier to form a quality inspection record and save it in the slave quality inspection database.

2. The quality inspection analysis system according to claim 1, characterized in that The quality inspection video includes pauses during the quality inspection process from the start to the end of the quality inspection.

3. The quality inspection analysis system according to claim 1, wherein, The quality inspection plan includes the commodity variety of the arriving goods, a sampling plan, a sampling quantity, quality inspection items, a quality inspection table identifier, a quality inspection time, and quality inspection personnel.

4. The quality inspection analysis system according to claim 1, wherein, The second acquisition unit includes a temperature sensor, a salinity sensor, and a weight sensor.

5. The quality inspection analysis system according to claim 1, characterized in that, The quality inspection execution module further includes a quality inspection data entry unit arranged on the quality inspection table, and the quality inspection data entry unit receives the entered quality inspection data of the arriving goods.

6. The quality inspection analysis system according to claim 1, wherein The quality inspection record module further provides an actively supplemented quality inspection record unit, which receives the supplemented basic information of the arriving goods, quality inspection plan, quality inspection data, quality inspection video, and quality inspection analysis result, and provides a unique quality inspection identifier to form a quality inspection record and save it in the slave quality inspection database.

7. The quality inspection analysis system according to claim 1, wherein It further includes a loss attribution module, which statistically analyzes the selected quality inspection records to obtain a loss attribution result, and the quality inspection records are selected from the quality inspection database according to the provided screening conditions.

8. The quality inspection analysis system according to claim 7, characterized in that The loss attribution module includes a loss attribution model, which statistically analyzes the selected quality inspection records to obtain a loss attribution result.

9. The quality inspection analysis system according to claim 1, wherein It further includes a report generation module, which has multiple preset report templates built-in and automatically matches and generates corresponding reports according to the requested conditions.

10. The quality inspection analysis system according to claim 7, characterized in that It further includes a query and display module, which visually displays according to the provided query conditions.

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