A quality inspection analysis system

Abstract

A quality inspection analysis system comprises a to-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 record module; the to-arrival commodity information acquisition module is used for acquiring basic information of to-arrival commodities; the quality inspection standard management module uniformly maintains quality inspection standards of various categories to ensure that 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; the first acquisition unit and the second acquisition unit of the quality inspection execution module are cooperatively operated to realize visual monitoring of the quality inspection process and automatic acquisition of quality inspection data, and to guarantee fairness of quality inspection results and authenticity of data; the quality inspection record module realizes organic integration and deep correlation of full-process data through an automatically generated quality inspection record unit, forms quality inspection records and saves the quality inspection records in a quality inspection database; and the quality inspection process is transparent, the results are accurate, and the management is efficient.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of quality inspection analysis, in particular to a quality inspection analysis system. BACKGROUND

[0002] The quality inspection process has the characteristics of complexity, strong professionalism and subjective judgment, and lacks a full-process traceability mechanism for loss attribution, resulting in frequent disputes over quality inspection results. Especially in the fresh food industry, due to the long transaction chain, fresh and perishable goods, and close cooperation between each link of the supply chain, the dispute problem is more prominent, which seriously affects the efficiency of the supply chain. The core problem lies in:

[0003] First, the uniformity of the quality inspection standard system is lacking: there is a lack of unified standard evaluation mechanism based on industry characteristics (such as the freshness of fresh goods and the sensitivity of transportation environment), and the standards implemented by each link (supplier, warehouse, and sales) are ambiguous and randomly changed (such as repeated adjustments of the deduction rules for different batches of the same goods), resulting in a lack of public credibility of the quality inspection results, which becomes the source of disputes;

[0004] Second, the system of quality inspection traceability mechanism is blank: there is no supervision mechanism covering the whole process of quality inspection, which makes it impossible to accurately determine the loss occurrence node and loss attribution, and thus falls into the "lack of data evidence" dilemma —— lacking the basic information of goods and the record of quality inspection operation. This "lack of data evidence" makes the loss analysis long-term rely on subjective speculation, rather than objective data-based empirical analysis, which ultimately leads to the lack of pertinence of supply chain optimization measures, and the same quality problems repeatedly occur. SUMMARY

[0005] In view of the above problems, the application provides a quality inspection analysis system to solve the above problems.

[0006] To achieve the above purpose, the inventors provide a quality inspection analysis system, which comprises:

[0007] A to-goods information acquisition module for acquiring the basic information of to-goods; the basic information of to-goods includes supplier identification, store identification, store order number, batch, arrival time, goods variety, goods name, and goods quantity;

[0008] 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;

[0009] The quality inspection plan module receives the basic information of the arrived goods from the goods information module, and obtains the quality inspection station state of the corresponding variety from the quality inspection execution module according to the variety of the arrived goods, and generates a quality inspection plan based on the quality inspection standard system of the corresponding variety;

[0010] The quality inspection execution module includes a first acquisition unit and a second acquisition unit arranged on the quality inspection station, the first acquisition unit acquires the quality inspection video of the arrived goods in the quality inspection execution process, and the second acquisition unit acquires the quality inspection data of the arrived goods according to the quality inspection plan;

[0011] The quality inspection analysis module analyzes the received quality inspection data based on the quality inspection item standard in the quality inspection standard system of the corresponding variety, and obtains a quality inspection analysis result;

[0012] The quality inspection record module includes an automatic generation quality inspection record unit, which associates the basic information of the arrived goods with the corresponding quality inspection plan, quality inspection data, quality inspection video, quality inspection analysis result, and provides a unique quality inspection identifier, and forms a quality inspection record saved in the quality inspection database.

[0013] Further, the quality inspection video includes pausing the quality inspection in the process from starting the quality inspection to ending the quality inspection.

[0014] Further, the quality inspection plan includes the variety of the arrived goods, the sampling scheme, the sampling quantity, the quality inspection item, the quality inspection station identifier, the quality inspection time and the quality inspection personnel.

[0015] Further, the second acquisition unit includes a temperature sensor, a salinity sensor and a weight sensor.

[0016] Further, the quality inspection execution module further includes a quality inspection input unit arranged on the quality inspection station, which receives the input quality inspection data of the arrived goods.

[0017] Further, the quality inspection record module further provides an active supplementary recording quality inspection record unit, which receives the supplementary recording basic information, quality inspection plan, quality inspection data, quality inspection video and quality inspection analysis result of the arrived goods, and provides a unique quality inspection identifier, forms a quality inspection record saved in the quality inspection database.

[0018] Further, it further includes a loss attribution module, which statistically analyzes the screened quality inspection records to obtain a loss attribution result, and the quality inspection records are screened from the quality inspection database according to the provided screening conditions.

[0019] Further, the loss attribution module includes a loss attribution model, which statistically analyzes the screened quality inspection records to obtain a loss attribution result.

[0020] Further, the report generation module is further included, and the report generation module is built-in with a plurality of preset report templates, and automatically matches and generates a corresponding report according to a request condition.

[0021] Further, the query display module is further included, and the query display module is visually displayed according to a provided query condition.

[0022] Distinguished from the prior art, the above technical solution quality inspection standard management module uniformly maintains quality inspection standards of various categories to ensure that the quality inspection is performed according to the same standard during the quality inspection execution process; the quality inspection plan module automatically generates a quality inspection plan to avoid the randomness of manually preparing a plan and to ensure the comprehensiveness of quality inspection coverage; the first acquisition unit and the second acquisition unit of the quality inspection execution module are cooperatively operated to realize visual monitoring of the quality inspection process and automatic acquisition of quality inspection data, the quality inspection video records an operation process, the quality inspection data provides quantitative evidence, and the two mutually corroborate to fundamentally guarantee the fairness of the quality inspection result and the authenticity of the data; the quality inspection record module realizes organic integration and deep correlation of full-process data through the automatically generated quality inspection record unit to associate basic information of the received goods with corresponding quality inspection plans, quality inspection data, quality inspection videos, and quality inspection analysis results, form quality inspection records, and save the quality inspection records in the quality inspection database; the quality inspection process is transparent, the result is accurate, and the management is efficient.

[0023] The above invention content is only a summary of the technical solution of the present application. In order to enable those skilled in the art to more clearly understand the technical solution of the present application, and then can be implemented according to the content recorded in the specification and drawings, and in order to make the above-mentioned purpose and other purposes, characteristics and advantages of the present application more easily understood, the following is described in combination with the specific embodiments of the present application and the drawings. BRIEF DESCRIPTION OF DRAWINGS

[0024] The drawings are only used to show the principles, implementation manners, applications, characteristics and effects of the specific embodiments and other related contents of the present application, and cannot be considered as a limitation of the present application.

[0025] In the drawings of the specification:

[0026] Figure 1 The module execution schematic diagram of the quality inspection analysis system described in the specific embodiments;

[0027] Figure 2 The module structure schematic diagram of the second acquisition unit described in the specific embodiments;

[0028] Figure 3 The module structure schematic diagram of the quality inspection execution module described in the specific embodiments;

[0029] Figure 4 The module structure schematic diagram of the quality inspection record module described in the specific embodiments;

[0030] Figure 5 The module structure schematic diagram of the quality inspection analysis system is described for the specific embodiment.

[0031] The reference signs involved in the above-mentioned figures are explained as follows:

[0032] 10, incoming commodity information acquisition module;

[0033] 20, quality inspection standard management module;

[0034] 201, quality inspection standard system management unit; 202, quality inspection item standard management unit;

[0035] 30, quality inspection plan module;

[0036] 40, quality inspection execution module;

[0037] 401, first acquisition unit; 402, second acquisition unit; 403, quality inspection input unit;

[0038] 50, quality inspection analysis module;

[0039] 60, quality inspection record module;

[0040] 601, automatically generated quality inspection record unit; 602, actively supplemented quality inspection record unit;

[0041] 70, quality inspection database;

[0042] 80, loss attribution module;

[0043] 90, report generation module;

[0044] 100, query display module. Specific Embodiment

[0045] In order to describe the possible application scenarios, technical principles, specific schemes that can be implemented, purposes and effects that can be achieved, etc. of the present application in detail, the following will be described in detail in combination with the specific embodiments listed and the accompanying drawings. The embodiments described in this paper are only used to more clearly illustrate the technical solutions of the present application, and therefore only serve as examples, and cannot limit the protection scope of the present application.

[0046] The term "embodiment" is mentioned in this document means that the specific features, structures or characteristics described in connection with the embodiment can be included in at least one embodiment of the present application. The term "embodiment" appearing in various places in the specification does not necessarily refer to the same embodiment, nor does it particularly limit its independence or association with 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 a corresponding implementable technical solution.

[0047] Unless otherwise defined, the meaning of technical terms used in this document is the same as that generally understood by those skilled in the art to which the present application belongs; the use of related terms in this document is only for the purpose of describing specific embodiments, and is not intended to limit the present application.

[0048] In the description of the present application, the phrase "and / or" is a description of the logical relationship between the objects, which means that there can be three relationships, for example, A and / or B, which means that there are three cases: A exists, B exists, and A and B exist at the same time. In addition, the character " / " in this document generally represents that the associated objects before and after are a "or" logical relationship.

[0049] In this application, such as "first" and "second" are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual quantity, primary and secondary or order relationship between them.

[0050] In this application, without more limitation, the "includes", "contains", "has" or other similar open expressions used in the statement are intended to cover non-exclusive inclusion, and these expressions do not exclude the existence of other elements in the process, method or product including the described elements, so that the process, method or product including a series of elements can not only include those limited elements, but also include other elements not explicitly listed, or also include the elements inherent in such process, method or product.

[0051] As the same understanding as in the "Guidelines for Examination", in this application, "greater than", "less than", "exceed" and other expressions are understood as not including the number; "above", "below", "within" and other expressions are understood as including the number. In addition, the meaning of "multiple" in the description of the embodiments of the present application is more than two (including two), and similar expressions related to "multiple" are also understood in this way, for example, "multiple groups", "multiple times" and the like, unless otherwise specifically limited.

[0052] In the description of the embodiments of the present application, the spatial relative expressions used, such as "central", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "vertical", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", and the like, indicate the orientation or positional relationship shown in the specific embodiments or the drawings, and are only used for the convenience of describing the specific embodiments of the present application or for the convenience of the reader to understand, and do not indicate or imply that the indicated device or component must have a particular position, a particular orientation, or be constructed or operated in a particular orientation, and therefore cannot be understood as a limitation on the embodiments of the present application.

[0053] The processor described in the embodiments of the present application can be implemented by hardware, firmware, software or a combination thereof, and can use at least one of circuit, single or multiple application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), central processing units (CPU), controllers, microcontrollers, microprocessors, and other physical, biological or chemical structures that can realize the same or equivalent functions as the above-mentioned processors, such as biological neurons, quantum computing units, DNA computing units, etc., so that the processor can execute part or all of the steps or any combination of the steps mentioned in the computer programs or methods of the embodiments of the present application.

[0054] The computer program involved in the embodiments can be stored in a computer device readable storage medium, including but not limited to magnetic disk, magnetic tape, magnetic card, floppy disk, flash memory, optical disk, optical card, read-only memory (ROM), random access memory (RAM), erasable programmable ROM (EPROM) and electrically erasable programmable ROM (EEPROM) and the like, and also includes other biological, physical or chemical structures that can realize similar or equivalent functions as the above-mentioned storage media, such as DNA, RNA, protein and the like units with information storage ability. In specific embodiments, the storage medium can be one of the above-mentioned medium types, or a combination of the above-mentioned medium types. In different embodiments, the computer program involved in the embodiments can be stored in a single medium in a centralized manner, or stored in multiple media in a distributed manner. The storage medium containing the computer device readable storage medium can be a non-volatile memory or a random access memory. These computer device readable storage media can be built into the device, or connected to the device as an external device or part of the external device. In some embodiments, the storage medium with the computer device readable storage medium is deployed locally; in other embodiments, the storage medium can also be deployed remotely from the processor, such as network-attached storage accessed via RF circuitry or external port and communication network, wherein the communication network can be the Internet, one or more intranets, local area networks (LANs), wide area networks (WANs), storage area networks (SANs) and the like, or appropriate combinations thereof, as long as the computer device can access the storage medium. In addition, the computer program involved in the embodiments can be stored in plaintext / ciphertext form, or can be designed as training data, and integrated and reorganized by model training to be implicitly saved in the parameter state of a deep neural network or other machine learning model.

[0055] Referring to Figures 1-5 As shown, a quality inspection analysis system converts quality inspection from a traditional quality inspection mode "dependent on manual experience" to a modern quality inspection analysis mode "data-driven, full-process traceable, and responsibility traceable", and realizes transparent quality inspection process, accurate results and efficient management. The quality inspection analysis system has high industry adaptability and is widely applicable to scenes with strict quality control requirements, including but not limited to manufacturing industry, pharmaceutical and medical device industry, fast-moving consumer goods industry, etc. It is especially suitable for the fresh food industry - for its long transaction link, fresh and perishable goods, and close multi-link cooperation.

[0056] Referring to Figure 1As shown, the present application proposes a quality inspection and analysis system including an arrival commodity 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 arrival commodity information acquisition module 10 is used to obtain the basic information of the arrival commodity; the quality inspection standard management module 20 uniformly maintains the quality inspection standards of each category to ensure that quality inspection is performed according to the same standard during the quality inspection execution process; the quality inspection plan module 30 automatically generates a quality inspection plan to avoid the arbitrariness of manual plan making and ensure comprehensive coverage of quality inspection; the first acquisition unit 401 of the quality inspection execution module 40 and the second acquisition unit 402 of the quality inspection execution module 40 are connected to each other. The coordinated operation of the collection unit 402 realizes the visual monitoring of the quality inspection process and the automatic collection 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 deep association of the whole process data by automatically generating the quality inspection record unit 601, so that the basic information of the arrived goods and the corresponding quality inspection plan, quality inspection data, quality inspection video, and quality inspection analysis results are associated to form a quality inspection record stored in the quality inspection database 70; thus, the quality inspection process is transparent, the results are accurate, and the management is efficient.

[0057] The following combination Figure 1 , provides an implementation of a quality inspection and analysis system, which includes:

[0058] The arrival commodity information acquisition module 10 is used to obtain basic information of the arrival commodity; the basic information of the arrival commodity includes the supplier identification, store identification, store order number, batch, arrival time, commodity variety, commodity name, and commodity quantity.

[0059] The quality inspection standard management module 20 includes a quality inspection standard system management unit 201 and a quality inspection project standard management unit 202; the quality inspection standard system management unit 201 is used to construct different types of quality inspection standard systems, each quality inspection standard system includes at least one quality inspection project; the quality inspection project standard management unit 202 is used to define quality inspection project standards;

[0060] The quality inspection plan module 30 receives the basic information of the arriving goods from the incoming goods information module, obtains the status of the quality inspection station of the corresponding variety from the quality inspection execution module 40 according to the variety of the arriving goods, and generates a quality inspection plan based on the quality inspection standard system of the corresponding variety;

[0061] The quality inspection execution module 40 includes a first collection unit 401 and a second collection unit 402 provided on the quality inspection table. The first collection unit 401 collects quality inspection videos of the incoming goods during the quality inspection execution process. The second collection unit 402 collects quality inspection data of the incoming goods according to the quality inspection plan.

[0062] The quality inspection and analysis module 50 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 quality inspection and analysis results;

[0063] The quality inspection record module 60 includes an automatic generation of quality inspection record unit 601, which associates the basic information of the arrived goods with the corresponding quality inspection plan, quality inspection data, quality inspection video, and quality inspection analysis results, and provides a unique quality inspection identification to form a quality inspection record and save it in the quality inspection database 70.

[0064] The above-mentioned arrival commodity information acquisition module 10 serves as the front-end core link of the quality inspection and analysis system, and is used to obtain the basic information of the arrival commodity. The basic information of the arrival commodity includes but is not limited to the supplier identification, store identification, store order number, batch, arrival time, commodity variety, commodity name, commodity quantity, etc. The basic information of the arrival commodity is not only the basis for subsequent quality inspection standard matching, sampling plan formulation, and inspection project 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 arrival commodity and the corresponding quality inspection plan, quality inspection data, quality inspection video, and quality inspection analysis results are associated. Once a loss dispute occurs, the basic information of the arrival commodity can be used to quickly trace the loss occurrence node (loss occurs before, during, or after quality inspection) and loss attribution, and accurately locate the root cause of the loss. The basic information of the arrived goods can be obtained by reading the physical information of the goods in real time through IoT devices, such as using a handheld PDA, a fixed barcode scanner or a channel scanning device to read the barcode on the product packaging, or using an RFID reader to read the product label chip information (arrived goods are pre-installed with RFID tags), etc.; it can also be obtained through API interface or file transfer (such as logistics system data pulling, electronic document import) to achieve cross-system data synchronization; it can also be obtained through manual entry, such as manual entry on a mobile terminal, voice recognition input, digital recognition of paper documents (such as OCR technology), etc.

[0065] The above-mentioned 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 different varieties of incoming goods, industry standards, and their own quality requirements. Among them, the quality inspection standard system for each variety includes a series of quality inspection items that are adapted to it (for example, in the fresh food industry, the quality inspection items for fish include appearance, size, weight, salinity of temporary storage barrels, temperature, etc.), and each quality inspection item is interrelated. The establishment of the quality inspection standard system facilitates the automatic generation of a quality inspection plan by matching the quality inspection standard system of the corresponding variety from the established quality inspection standard system library based on 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 products arrive in the fresh food industry, the system will quickly call the fish quality inspection standard system and generate a specific quality inspection plan. The quality inspection plan includes a series of quality inspection items that are adapted to it. There is no need to manually select quality inspection items, which improves the efficiency of quality inspection work and avoids deviations in the implementation of quality inspection standards due to human selection errors, ensuring that each type of product can be strictly inspected according to its own exclusive standards. At the same time, the quality inspection standard system management unit 201 is extensible and can be easily added or modified as the business develops and the variety of products increases. For example, when other new fish species are introduced, it is only necessary to add an exclusive quality inspection standard system for the new fish species to the quality inspection standard system, ensuring that the quality inspection standard system can continue to adapt to the needs of changes in the company's business.

[0066] The quality inspection item standard management unit 202 specifies specific acceptance criteria for each quality inspection item. For example, for fish quality inspection items in the fresh food industry, acceptance criteria for the "appearance" quality inspection item might be defined as fish being intact, with no large scale loss or obvious external injuries. For the "size" quality inspection item, acceptance ranges for length and width are specified for different fish species. For the "weight" quality inspection item, weight ranges are set for different fish species. The "salinity" and "temperature" values ​​for the temporary storage tanks are also determined within precise numerical ranges based on the habits of different fish species. These standards can be formulated based on industry-wide standards, product characteristics, and agreements between companies and suppliers, ensuring authoritative and reliable quality inspection results. The establishment of quality inspection item standards facilitates real-time comparison and analysis of the acceptance criteria stored in the quality inspection item standard management unit 202 with actual quality inspection data during the execution of the quality inspection analysis module 50. For example, when conducting quality inspection on a certain type of fish, the system will compare the quality inspection data such as appearance, size, weight, salinity and temperature of the temporary storage barrel obtained by the quality inspection execution module 40 with the corresponding qualified standards one by one, and automatically determine whether the quality inspection data of each quality inspection item is qualified.

[0067] The above 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 goods to be inspected, the sampling scheme, the sampling quantity, the quality inspection items, the quality inspection station identification, the quality inspection time and the quality inspection personnel. The quality inspection plan module 30 receives the basic information of the goods to be inspected from the goods to be inspected information module, which includes but is not limited to the supplier identification, the store identification, the store order number, the batch, the arrival time, the variety of goods, the name of goods, the quantity of goods, etc.; the quality inspection station status of the corresponding variety is obtained from the quality inspection execution module 40 according to the variety of goods to be inspected, which includes the idle / occupied state 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 the quality inspection station for the goods to be inspected, i.e. the quality inspection station identification in the quality inspection plan. For example, when the goods to be inspected are sea bass, the sea bass needs to be inspected in the low-temperature quality inspection station, and the idle state of No. 3 low-temperature quality inspection station is confirmed by the quality inspection execution module 40 to be used for the current inspection task. Specifically, the idle / occupied state 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 obtained quality inspection items. The quality inspection standard system of the corresponding variety is called from the quality inspection standard management module 20 according to the variety of goods to be inspected, which includes the quality inspection items in the quality inspection plan. The sampling scheme and the sampling quantity in the quality inspection plan can automatically generate the sampling scheme according to the quantity of goods to be inspected and the built-in sampling rules (such as random sampling, system sampling, whole temporary cultivation barrel sampling, sampling according to the height of goods in the temporary cultivation barrel), and then obtain the sampling quantity. Taking system sampling as an example, if 20 temporary cultivation barrels of sea bass arrive, 5 temporary cultivation barrels need to be sampled according to the standard, and 5 fish are sampled from each temporary cultivation barrel for quality inspection to ensure that the sample is statistically representative; the sampling quantity can also be dynamically adjusted according to the supplier supply history, the risk level of goods, etc. For example, when the unqualified rate of the batch increases, the strict scheme (such as increasing the sample size by 50%) is started to supervise the supplier to improve. When the qualified rate of the continuous batches exceeds the preparation, the relaxed scheme (such as reducing the sample size by 30%) can be adopted to improve the quality inspection efficiency.

[0068] The above quality inspection execution module 40 includes the first acquisition unit 401 and the second acquisition unit 402 arranged in the quality inspection station. Through the cooperative operation of the first acquisition unit 401 and the second acquisition unit 402, the visualization monitoring of the quality inspection process and the automatic acquisition of the quality inspection data are realized, the quality inspection video records the operation process, the quality inspection data provides quantitative evidence, and the two mutually corroborate to fundamentally guarantee the fairness of the quality inspection result and the authenticity of the data. The above quality inspection station has a plurality of quality inspection stations for quality inspection of different varieties of goods to be inspected. Each variety of goods has at least one corresponding quality inspection station.

[0069] The first acquisition unit 401 can be a camera deployed at key angles of each quality inspection station to ensure that clear and complete quality inspection videos are collected during the quality inspection execution process, providing visual evidence chain for quality inspection. When there is a dispute over the quality inspection result (for example, the supplier disputes the "death loss" determination as unfair), the corresponding quality inspection video can be retrieved. The timestamp in the video is completely synchronized with the quality inspection data collection time, which can accurately restore the quality inspection personnel's operation process (such as whether the standard temporary care is followed, and whether the measurement method is standardized), and clearly define the responsibility for the loss, reducing disputes such as "data tampering" and "arbitrary changes in standards". Preferably, the quality inspection video includes pausing the quality inspection during the process of starting the quality inspection to ending the quality inspection; the pause operation during the quality inspection process is included in the video recording to ensure the integrity of the quality inspection process and restore the real scene (such as equipment debugging, temporary handling of unexpected situations, etc. causing pause), avoiding misunderstandings due to missing information; at the same time, it is also clear that the pause operation also needs to be recorded, which can encourage quality inspection personnel to more standardizedly perform the operation process and avoid arbitrary pauses or using the pause time for non-compliant operations. When there is a quality dispute, the complete video recording can enable the management personnel or the arbitration party to fully understand every detail of the quality inspection, including the operation state before and after the pause, the condition of the goods, etc., so as to accurately determine the responsibility and avoid misjudgment due to incomplete information.

[0070] The second acquisition unit 402 integrates several sensors, which can be flexibly configured according to the characteristics of the goods and the quality inspection items. Referring to Figure 2 In the fresh food industry, it can include temperature sensors, salinity sensors, weight sensors, etc., among which the temperature sensor can be used to obtain the temperature of the water in the temporary care barrel, the salinity sensor can be used to obtain the salinity of the water in the temporary care barrel, and the weight sensor can be used to obtain the weight of the fresh food; the quality inspection data of the goods collected by the sensor is directly transmitted without manual transfer, avoiding manual entry errors and tampering risks. For example, the electronic scale automatically collects data after weighing and transmits it to the required module, and the quality inspection personnel can only view the results and has no right to modify the original values.

[0071] Referring to Figure 3As shown, in some embodiments, the quality inspection execution module 40 further comprises a quality inspection input unit 403 arranged on different quality inspection stations, which receives the quality inspection data of the incoming goods. The quality inspection input unit 403 is equipped with various terminal devices to adapt to different quality inspection scenarios, commonly including tablets, handheld PDAs, etc. For quality inspection data that cannot be obtained through sensors, such as the sensory characteristics (color, smell, taste) of goods, subjective evaluations (appearance aesthetics, packaging rationality), etc., detailed records can be made through the quality inspection input unit 403. For example, a waterproof and dustproof tablet is equipped at the fresh food quality inspection station, which facilitates the quality inspector to quickly input the 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 a local rotting part is found in a fresh product, a photo of the local rotting part and area can be uploaded to the quality inspection input unit 403 for subsequent tracing and analysis.

[0072] The quality inspection analysis module 50 described above analyzes the received quality inspection data based on the quality inspection item standards in the quality inspection standard system corresponding to the variety, and can directly compare the quality inspection data with the threshold set by the quality inspection item standards to output “qualified / unqualified” results. For example, if the actual weight of a certain sea bass sample is 485g (the standard is 500g±3%, i.e. 485-515g), it is determined to be qualified; if the actual weight is 480g, it is marked as unqualified.

[0073] The quality inspection record module 60 realizes the organic integration and deep correlation of the whole process data through the automatic generation of the quality inspection record unit 601, and forms the quality inspection record. The automatic generation of the 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, and establishes a data mapping relationship through a unique quality inspection identifier (such as a combination of a timestamp, a quality inspection station identifier and a quality inspection sequence), ensures that all data point 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, quality inspection analysis result are correlated, and the quality inspection record is saved in the quality inspection database 70.

[0074] Referring to Figure 4As shown, in some embodiments, the quality inspection record module 60 also provides a proactive record supplement quality inspection record unit 602 that receives the basic information of the supplemented record of the arrived goods, the quality inspection plan, the quality inspection data, the quality inspection video, and the quality inspection analysis result, and provides a unique quality inspection identification to form a quality inspection record saved in the quality inspection database 70. The proactive record supplement quality inspection record unit 602 can be used in scenarios such as sudden failure (e.g., network interruption causing data not to be uploaded) to ensure that data is not missed through manual record supplement; or for temporary arrived goods without a quality inspection plan created in advance, to directly generate a quality inspection record through the proactive record supplement unit, skipping the plan approval link in the regular process, and shortening the quality inspection period; or partial module failure, to supplement part of the data manually, such as basic information that fails to be obtained due to a supplier not providing it in time or system docking abnormity; or a quality inspection plan for a temporary added quality inspection item when the quality inspection standard system is not provided; or quality inspection data that is not collected due to sensor failure; or quality inspection video that is not collected due to camera failure; or quality inspection analysis result of a revised conclusion after manual review (e.g., secondary determination result of a disputed batch). The proactive record supplement quality inspection record unit 602 also establishes a data mapping relationship through a quality inspection unique identification (e.g., a combination of a time stamp, a quality inspection station identification, and a quality inspection sequence) to ensure that all data points to the same quality inspection object, so as to associate the basic information of the arrived goods and the corresponding quality inspection plan, quality inspection data, quality inspection video, and quality inspection analysis result to form a quality inspection record saved in the quality inspection database 70. The proactive record supplement quality inspection record unit 602 ensures that quality inspection data is not lost under any circumstances, and maintains the integrity of the traceability system.

[0075] Referring to Figure 5 As shown, in some embodiments, the loss attribution module 80 is also included, which statistically analyzes the screened quality inspection records to obtain a loss attribution result, the quality inspection records being screened from the quality inspection database 70 according to a provided screening condition. The screening condition can be one or more of a specific time period, a product variety, a supplier, etc. For example, the quality inspection records of prawns supplied by a certain supplier in May 2025 are screened, and the fluctuation trend of the loss rate is statistically analyzed. The quality inspection records that meet the screening condition can be called from the quality inspection database 70, and descriptive statistics (such as calculating the loss rate, the distribution of the unqualified rate of each quality inspection item, etc.), correlation analysis (such as identifying the correlation between the loss and the influencing factors), and causal inference analysis (such as locating the main loss source by comparative analysis, such as the high mortality rate of prawns of supplier A due to water quality problems in the breeding link) are performed. Specifically, a plurality of 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 that statistically analyzes the screened quality inspection records to obtain a loss attribution result.

[0076] Referring to Figure 5 As shown in some embodiments, the report generation module 90 is further included for assisting users to quickly understand. The report generation module 90 is built-in with a plurality of preset report templates, which are automatically matched and generated according to the request conditions. The report template is preset with one or more templates according to each report type, including the supplier quality evaluation report, the quality inspection analysis report, the loss attribution report, etc., each of which contains a fixed format framework, a chart type, a data index, and a display logic. The chart type includes a column chart (each supplier loss rate comparison), a pie chart (loss reason proportion), a trend line (loss rate change trend over time), etc. The request conditions can include a time range, a data source range (automatically generated quality inspection records, actively supplemented quality inspection records, or all quality inspection records), a report type, a report content core display content, etc.

[0077] Referring to Figure 5 As shown in some embodiments, the query display module 100 is further included, which is visually displayed according to the provided query conditions. The query display module 100 realizes information tracing of the goods from arrival, quality inspection to warehousing, etc. Through the query conditions, all quality inspection records and related information of the arrived goods can be quickly queried, including the quality inspection personnel, the quality inspection time, the quality inspection result, the processing situation, etc., which is convenient for tracing and responsibility identification when quality problems occur. The query conditions can include one or more of the basic information of the arrived goods, the quality inspection time, the quality inspection identifier, etc.

[0078] Finally, it needs to be pointed out that although the above-mentioned embodiments have been described in the specification and drawings of the present application, it does not limit the patent protection scope of the present application. Any equivalent structure or equivalent process substitution or modification based on the essential concept of the present application, using the content described in the specification and drawings, and directly or indirectly implementing the technical solutions of the above embodiments in other related technical fields, etc., are all included in the patent protection scope of the present application.

Claims

1. A quality inspection and analysis system, characterized in that: include: Arrival commodity information acquisition module, used to obtain basic information of the arrived commodities; the basic information of the arrived commodities includes supplier identification, store identification, store order number, batch, arrival time, commodity type, commodity name, and commodity quantity; The quality inspection standard management module includes a quality inspection standard system management unit and a quality inspection project standard management unit; the quality inspection standard system management unit is used to construct different types of quality inspection standard systems, each quality inspection standard system includes at least one quality inspection project; the quality inspection project standard management unit is used to define quality inspection project standards; The quality inspection planning module receives basic information about the arriving goods from the incoming goods information module and, based on the variety of the arriving goods, obtains the status of the quality inspection stations for the corresponding variety from the quality inspection execution module. There are multiple quality inspection stations for quality inspection of different varieties of arriving goods, and each variety has at least one corresponding quality inspection station. The quality inspection station status includes whether the quality inspection station is idle or occupied, and the current task progress in the occupied state. The obtained status of the quality inspection station for the corresponding variety is used to allocate a quality inspection station to the arriving goods and generate a quality inspection plan based on the quality inspection standard system for the corresponding variety. The quality inspection plan includes the variety of the arriving goods, sampling plan, sampling quantity, quality inspection items, quality inspection station identification, quality inspection time, and quality inspection personnel. The quality inspection execution module includes a first collection unit and a second collection unit provided on the quality inspection table, wherein the first collection unit collects quality inspection videos of the incoming goods during the quality inspection execution process; the quality inspection videos include pauses in the quality inspection process from the start to the end of the quality inspection; The second collection unit collects quality inspection data of the arrived goods according to the quality inspection plan; The coordinated operation of the first acquisition unit and the second acquisition unit realizes the visual monitoring of the quality inspection process and the automatic collection of quality inspection data. The timestamp in the quality inspection video is completely synchronized with the quality inspection data collection time. The quality inspection and analysis module analyzes the received quality inspection data based on the quality inspection item standards in the quality inspection standard system of the corresponding product to obtain the quality inspection and analysis results; The quality inspection record module includes an automatic quality inspection record generation unit, which associates 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 provides a unique quality inspection identifier to ensure that all data points to the same quality inspection object, forming a quality inspection record and saving it in the secondary quality inspection database; The system also includes a loss attribution module, which performs statistical analysis on the screened quality inspection records to obtain loss attribution results. The quality inspection records are screened from the quality inspection database according to the provided screening conditions; the statistical analysis includes descriptive statistics, correlation analysis, and causal inference analysis; When a loss dispute occurs, the basic information of the delivered goods can be used to quickly trace the loss occurrence point and loss attribution, and accurately locate the root cause of the loss; the loss occurrence point includes before, during or after quality inspection.

2. The quality inspection and analysis system according to claim 1, characterized in that: The quality inspection plan includes the types of arriving goods, sampling plan, sampling quantity, quality inspection items, quality inspection table identification, quality inspection time and quality inspection personnel.

3. The quality inspection and analysis system according to claim 1, characterized in that: The second acquisition unit includes a temperature sensor, a salinity sensor, and a weight sensor.

4. The quality inspection and analysis system according to claim 1, characterized in that: The quality inspection execution module further includes a quality inspection entry unit provided on the quality inspection table, and the quality inspection entry unit receives the quality inspection data of the arrived goods.

5. The quality inspection and analysis system according to claim 1, characterized in that: The quality inspection record module also provides an active supplementary quality inspection record unit, which receives the basic information, quality inspection plan, quality inspection data, quality inspection video and quality inspection analysis results of the supplementary arrived goods, and provides a unique quality inspection identification to form a quality inspection record and save it in the quality inspection database.

6. The quality inspection and analysis system according to claim 1, characterized in that: The loss attribution module includes a loss attribution model, which performs statistical analysis on the screened quality inspection records to obtain loss attribution results.

7. The quality inspection and analysis system according to claim 1, characterized in that: It also includes a report generation module, which has multiple preset report templates built in, and automatically matches and generates corresponding reports according to request conditions.

8. The quality inspection and analysis system according to claim 1, characterized in that: It also includes a query display module, which performs visual display according to the provided query conditions.

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