Method for manually sampling incoming materials

Abstract

The invention discloses a method for manually sampling materials entering a factory, which defines the operation standard of each link through the standardized processes of information checking, surface quality inspection, random unloading, section quality inspection, section sampling and photographing and evidence reserving, avoids the problems of non-uniform point distribution, insufficient sampling amount and the like, and solves the problem of non-standard operation. The unloading scheme randomly generated by the mass metering system can avoid manual selection of unloading parts and inspection of internal states of covered materials by inclined sections, realizes three-dimensional coverage of the sections by a nine-point section sampling method, ensures that samples can truly reflect the mass of the whole batch of materials, reduces production risks caused by sample distortion, and improves the quality of the whole batch of materials. The sample representativeness and the inspection accuracy are improved, targeted unloading, full-link photographing and evidence reserving, process tracing, instant pausing and blocking of violation operation in case of abnormity can be avoided, the human intervention space is compressed from the flow, the behaviors of conscious sampling, internal and external collusion for profits and the like are avoided, the procurement cost of an enterprise is guaranteed not to be lost, and the risk of manual operation is reduced.

Description

Technical Field

[0001] This invention relates to the field of quality inspection technology for road transport materials, and in particular to a method for manual sampling of incoming materials. Background Technology

[0002] Currently, most materials in steel enterprises are sampled using automated sampling equipment, such as automatic samplers for trucks / trains, belt conveyor heads / middles, and silos / troughs. However, there are still two scenarios where automated sampling cannot be relied upon: First, some small and medium-sized steel enterprises have not equipped themselves with such equipment due to the high purchase cost and maintenance expenses, resulting in significant investment pressure. Second, for easily pulverized materials such as coke, metallurgical lime, and lightly calcined dolomite, the drill bit of automated sampling equipment can directly damage the particle size. Since particle size testing is a key indicator for settlement between suppliers and buyers, particle size damage leads to insufficient sample representativeness, causing suppliers to dispute the test results and affecting the stability of the supply chain. Therefore, manual sampling is still necessary in these scenarios.

[0003] Existing manual sampling methods suffer from certain irregularities and limitations in operability. For example, uneven distribution of sampling points, arbitrary sampling operations, and intentional or targeted sampling (i.e., deliberately avoiding areas with poor quality) can lead to distorted samples that fail to accurately reflect the overall quality of the materials in the vehicle, thus affecting subsequent production proportions and quality control. More seriously, these irregularities and limitations create opportunities for collusion and illegal profiteering, potentially resulting in the loss of procurement costs for the enterprise. Summary of the Invention

[0004] To overcome the aforementioned shortcomings of existing technologies, this invention provides a method for manual sampling of incoming materials, aiming to solve the problems of non-standardization and operability in existing manual sampling, ensure the representativeness of samples and the accuracy of test results, eliminate fraudulent behavior, and reduce quality and cost risks.

[0005] The technical solution adopted by this invention to solve its technical problem is: a method for manual sampling of incoming materials, comprising the following steps:

[0006] S1: Information Verification: Receive the sampling notification, verify the incoming material information and unloading location, and print the sampling notification form;

[0007] S2: Surface Quality Inspection: Upon arrival at the sampling site, verify the information on the sampling notification form against the incoming material information. After confirming that everything is correct, board the transport vehicle and visually inspect the surface quality of the material. If the surface quality is abnormal, initiate the quality objection handling process. If the surface quality is normal, proceed to the next step.

[0008] S3: Random Unloading: Instructing the driver to unload the vehicle according to the unloading plan, which is randomly generated by the quality assessment system;

[0009] S4: Cross-section quality inspection: After unloading, board the transport vehicle again to visually inspect the cross-section quality of the material; if the cross-section quality is abnormal, initiate the quality objection handling process; if the cross-section quality is normal, proceed to the next step.

[0010] S5: Cross-sectional sampling: Nine-point cross-sectional sampling method is used; the nine-point cross-sectional sampling method is to arrange 9 sampling points on the cross-section according to the vertical dimensions of the upper layer, middle layer, and lower layer and the horizontal dimensions of the left, middle, and right side; if a quality problem is found during the sampling process, the sampling is stopped immediately and the quality objection handling process is initiated; if there is no quality abnormality during the sampling process, proceed to the next step;

[0011] S6: Take photos as evidence: Take photos of the sampling traces as evidence and notify the receiving unit to continue unloading.

[0012] As a further improvement of the present invention: in step S1, the sampling notification form contains key sampling information, which includes at least the date, arrival time, supplier, material name, and vehicle number; the sampling notification form is printed through the quality measurement system.

[0013] As a further improvement of the present invention: in step S2, the surface quality inspection items include color, particle size uniformity, impurity content, stratification, mixed packaging, and substandard products being passed off as superior ones; if the surface quality is abnormal, the quality objection handling process is initiated.

[0014] As a further improvement of the present invention: in step S3, the unloading scheme is to unload until 1 / 2, 1 / 4 or 3 / 4 of the material remains in the truck compartment.

[0015] As a further improvement of the present invention: in step S4, the material cross-section is an inclined cross-section formed by the residual material in the carriage, and the cross-section quality inspection items are the same as the surface quality inspection items.

[0016] As a further improvement of the present invention: in step S5, the upper layer is the top 1 / 3 height of the inclined section, the middle layer is the middle 1 / 3 height of the section, and the lower layer is the bottom 1 / 3 height of the section; the left part is the left 1 / 3 width of the section, the middle part is the middle 1 / 3 width of the section, and the right part is the right 1 / 3 width of the section.

[0017] As a further improvement of the present invention: in step S5, the sample amount at each sampling point is not less than 2 kg, and the total sample amount is not less than 20 kg.

[0018] As a further improvement of the present invention, step S2 also includes taking photos of the front of the vehicle and the surface of the material as evidence.

[0019] As a further improvement of the present invention, step S4 also includes taking a photograph of the cross-section of the material as evidence.

[0020] As a further improvement of the present invention: in step S6, when taking photos of the sampling traces for evidence, it is necessary to take photos that can reflect the execution of the unloading plan and the distribution of sampling points.

[0021] As a further improvement of the present invention, the photographs taken for evidence collection are used as supporting evidence for handling quality objections and as a basis for verification by supervisors.

[0022] As a further improvement of the present invention, the quality objection handling process includes: stopping sampling and unloading operations, notifying relevant units to handle the matter on-site, and only continuing operations after reaching a consensus on the handling results.

[0023] As a further improvement of the present invention: the method is used for manual sampling of easily pulverized materials, including coke, metallurgical lime, and lightly calcined dolomite blocks.

[0024] Compared with the prior art, the beneficial effects of the present invention are:

[0025] This invention solves the problems of non-standardization and operability in existing manual sampling operations; by standardizing sampling operations, it improves the representativeness of samples and the accuracy of test results, providing timely and accurate data support for production materials; it reduces the risk of human operation, narrows the scope of operability, and improves the controllability of the sampling process; it avoids the situation where sampling distortion affects production and the situation where collusion between internal and external parties leads to illegal profiteering and the loss of company procurement costs. Attached Figure Description

[0026] Figure 1 This is a flowchart of the present invention. Detailed Implementation

[0027] To make the objectives, technical solutions, and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. It should be noted that the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to these processes, methods, products, or devices.

[0028] Please see Figure 1 A method for manual sampling of incoming materials, comprising the following steps:

[0029] S1: Information Verification: Receive the sampling notification, verify the incoming material information and unloading location, and print the sampling notification form;

[0030] S2: Surface Quality Inspection: Upon arrival at the sampling site, verify the information on the sampling notification form against the incoming material information. After confirming that everything is correct, board the transport vehicle and visually inspect the surface quality of the material. If the surface quality is abnormal, initiate the quality objection handling process. If the surface quality is normal, proceed to the next step.

[0031] S3: Random Unloading: Instructing the driver to unload the vehicle according to the unloading plan, which is randomly generated by the quality assessment system;

[0032] S4: Cross-section quality inspection: After unloading, board the transport vehicle again to visually inspect the cross-section quality of the material; if the cross-section quality is abnormal, initiate the quality objection handling process; if the cross-section quality is normal, proceed to the next step.

[0033] S5: Cross-sectional sampling: Nine-point cross-sectional sampling method is used; the nine-point cross-sectional sampling method is to arrange 9 sampling points on the cross-section according to the vertical dimensions of the upper layer, middle layer, and lower layer and the horizontal dimensions of the left, middle, and right side; if a quality problem is found during the sampling process, the sampling is stopped immediately and the quality objection handling process is initiated; if there is no quality abnormality during the sampling process, proceed to the next step;

[0034] S6: Take photos as evidence: Take photos of the sampling traces as evidence. After confirmation by swiping the card and signing, pack the sample and notify the receiving unit to continue unloading.

[0035] By adopting a standardized process of "information verification → surface quality inspection → random unloading → cross-sectional quality inspection → cross-sectional sampling → photographic evidence", the operational standards of each step are clarified, avoiding problems such as uneven sampling points and insufficient sampling volume, improving the controllability of the sampling process, and solving the problem of non-standard operation.

[0036] The unloading plan is randomly generated by the quality control system, avoiding human selection of unloading locations. Cross-sectional inspection covers the internal state of the material, and the nine-point cross-sectional sampling method achieves three-dimensional coverage of the cross-section, ensuring that the sample can truly reflect the quality of the entire batch of material. This provides accurate inspection data for production, reduces production risks caused by sample distortion, and improves sample representativeness and inspection accuracy. Targeted unloading is eliminated, reducing the space for human intervention in the process, avoiding intentional sampling, collusion for profit, and other behaviors, ensuring that the company's procurement costs are not lost, and reducing the risk of human error.

[0037] In some implementations, in step S1, the sampling notification form includes key sampling information, which includes at least the date, arrival time, supplier, material name, and vehicle number; the sampling notification form is printed through the quality measurement system.

[0038] By including key sampling information such as date, arrival time, supplier, material name, and vehicle number, the sampling target can be accurately identified, avoiding incorrect or missed sampling due to incomplete information, and ensuring that sampling is targeted at specific batches and suppliers. Secondly, the sampling notification form is printed by the quality measurement system, replacing manual recording and reducing handwriting errors. At the same time, the document generated by the system has a uniform format and standardized information, which is convenient for sampling personnel to verify and provides standardized vouchers for subsequent supervision and verification, improving the accuracy and standardization of information management in the early stage of sampling.

[0039] In some implementations, the surface quality inspection items in step S2 include color, particle size uniformity, impurity content, stratification, mixed packaging, and substitution of inferior goods for superior ones; if the surface quality is abnormal, the quality objection handling process is initiated.

[0040] The surface quality inspection covers key dimensions such as color, particle size uniformity, impurity content, stratification, mixed packaging, and substitution of inferior materials, comprehensively covering the appearance and preliminary quality characteristics of materials. It can quickly identify visible quality problems on the surface, preventing obviously unqualified materials from flowing into subsequent stages and reducing invalid sampling and inspection costs. Secondly, it can initiate a quality objection handling process when surface quality abnormalities are identified, which can promptly stop improper sampling and prevent sample distortion caused by ignoring surface problems and continuing to operate. At the same time, it provides an early intervention point for both suppliers and buyers to handle subsequent quality disputes, reducing the risk of subsequent disputes caused by surface quality problems.

[0041] In some embodiments, in step S3, the unloading scheme is to unload until 1 / 2, 1 / 4, or 3 / 4 of the material remains in the truck compartment.

[0042] By clearly defining specific standards for whether 1 / 2, 1 / 4, or 3 / 4 of the material remains in the truck bed after unloading, a clear and quantitative basis is provided for the unloading operation. This avoids arbitrary operations due to ambiguity in the unloading quantity, ensuring that the unloading degree is controllable and consistent each time, and reducing human error. Secondly, fixing three remaining quantity schemes can specifically expose the material state at different depths, avoiding internal quality problems that may be masked by unloading only a small amount or a large amount of material. This provides a suitable material retention basis for subsequent cross-sectional quality inspection and sampling, so as to more comprehensively reflect the overall condition of the material and improve the effectiveness of subsequent inspections.

[0043] In some embodiments, in step S4, the material cross-section is an inclined cross-section formed by the residual material in the carriage, and the cross-section quality inspection items are the same as the surface quality inspection items.

[0044] By defining the material cross-section as an inclined cross-section formed by residual material in the carriage, this cross-section has a stable shape and can naturally expose the internal structure of the material, providing a unified and repeatable observation medium for cross-section quality inspection. This avoids confusion in inspection standards due to inconsistent cross-section shapes and ensures consistency in inspection conditions. Secondly, the cross-section quality inspection items are consistent with the surface quality inspection items, which maintains the continuity of quality judgment standards, makes it easier for sampling personnel to quickly grasp the key points of inspection and reduce operational errors, and enables a comprehensive verification of material quality from the surface to the inside, avoiding the omission of hidden problems such as layering and mixing when only checking the surface.

[0045] In some embodiments, in step S5, the upper layer is the top 1 / 3 height of the inclined cross-section, the middle layer is the middle 1 / 3 height of the cross-section, and the lower layer is the bottom 1 / 3 height of the cross-section; the left part is the left 1 / 3 width of the cross-section, the middle part is the middle 1 / 3 width of the cross-section, and the right part is the right 1 / 3 width of the cross-section.

[0046] By clearly defining the upper, middle, lower, left, middle, and right sections corresponding to 1 / 3 of the height or width of the inclined cross-section, a precise and unified sampling standard is provided for the nine-point cross-section sampling method. This avoids operational deviations caused by ambiguous sampling locations, ensures consistent sampling point locations each time, and improves sampling standardization. Secondly, dividing the cross-section dimensions into 1 / 3 proportions ensures even coverage of the vertical and horizontal areas of the cross-section, preventing sampling from concentrating in localized areas. This ensures that the collected samples comprehensively reflect the material quality of different parts of the cross-section, reduces the problem of insufficient sample representativeness due to limited sampling range, and improves the accuracy of subsequent test results.

[0047] In some implementations, in step S5, the sample volume at each sampling point is not less than 2 kg, and the total sample volume is not less than 20 kg.

[0048] By specifying that the sample quantity at each sampling point should not be less than 2 kg, the material characteristics of that part cannot be fully reflected due to insufficient sample quantity at a single point. This ensures that the material at each sampling point can truly reflect the quality of the corresponding cross-sectional area and reduces local sampling deviation. Secondly, by stipulating that the total sample quantity should not be less than 20 kg, the material from each sampling point can be summarized to form a comprehensive sample with sufficient representativeness. This avoids the distortion of the overall material characteristics due to insufficient total sample quantity, meets the basic requirements for sample quantity for subsequent quality inspections (such as particle size, composition analysis, etc.), provides material quantity assurance for the accuracy and reliability of test results, and reduces the risk of test data deviation caused by insufficient sample quantity.

[0049] In some embodiments, step S2 further includes taking photos of the front of the vehicle and the surface of the material as evidence.

[0050] By taking photos of the vehicle's front, key information such as the vehicle number can be clearly recorded, corresponding to the information on the sampling notification form. This avoids subsequent mismatches between materials and vehicles and provides visual evidence for the accuracy of the sampling. Secondly, taking photos of the material surface can document the material's state at the time of surface quality inspection. If a quality dispute arises later, the photos can be used to reconstruct the surface condition at that time, reducing discrepancies in understanding surface quality between the supplier and the buyer. At the same time, the retention of both types of photos provides supervisors with intuitive evidence to verify the sampling process, reducing the risk of sampling personnel violating regulations and improving the traceability and standardization of the surface quality inspection process.

[0051] In some embodiments, step S4 further includes taking a photograph of the material cross-section as evidence.

[0052] By photographing the cross-section of the material, the true state of the material after unloading can be fixed, clearly recording the quality conditions such as color, particle size, and stratification at the cross-section. This provides intuitive visual evidence for the cross-section quality inspection results, avoiding subsequent disputes over cross-section quality due to memory bias or differing descriptions. Secondly, the photos can serve as important material for supervision and verification, facilitating supervisors to trace whether sampling personnel completed the cross-section quality inspection as required, and preventing violations such as sampling personnel skipping inspections or making false records. At the same time, if problems arise in subsequent material inspections, the cross-section photos can also help investigate whether the quality issues originate from within the material, improving the accuracy of quality traceability.

[0053] In some implementations, when taking photos of the sampling traces as evidence in step S6, photos that reflect the execution of the unloading plan and the distribution of sampling points should be taken.

[0054] By taking photos reflecting the implementation of the unloading plan, it is possible to visually verify whether the remaining material quantity after unloading conforms to the predetermined plan of 1 / 2, 1 / 4, or 3 / 4, avoiding violations by sampling personnel who do not unload according to the random selection plan of the quality system, and ensuring compliance in the unloading process. Secondly, taking photos of the distribution of sampling points can clearly show whether the nine sampling points are arranged in accordance with the vertical and horizontal dimensions, eliminating problems such as uneven distribution and omissions, and ensuring that the sampling operation meets the requirements of the nine-point cross-sectional sampling method. The two types of photos together constitute visual evidence of key sampling links, which not only provide a basis for subsequent quality objection handling, but also facilitate supervision and verification, improving the traceability and standardization of the entire sampling process.

[0055] In some implementations, the photographs taken for evidence collection are used as supporting evidence for handling quality objections and as a basis for verification by supervisory personnel.

[0056] The photos taken for evidence can be used to support subsequent quality objection handling, which can reduce disputes between suppliers and customers; the photos taken for evidence can also serve as a basis for supervisory personnel to verify, which can ensure standardized operation, improve the enforcement of regulations and the controllability of the sampling process.

[0057] In some implementations, the quality objection handling process includes: stopping sampling and unloading operations, notifying relevant units to handle the matter on-site, and allowing operations to continue only after a consensus is reached on the handling results.

[0058] By immediately stopping sampling and unloading upon discovering an anomaly, the continued flow of problematic materials can be halted at the first opportunity, preventing sample contamination, escalation of quality issues, or wasted efficiency due to subsequent resampling caused by continued operation. Secondly, notifying relevant units to handle the situation on-site allows for the joint verification of multiple parties (such as purchasing, technical, and supplier representatives), ensuring objective and impartial problem assessment and reducing the bias of a single entity's judgment. Requiring consensus on the handling results before resuming operations can effectively resolve disagreements between suppliers and buyers or within the organization regarding quality issues, preventing subsequent disputes arising from differing opinions, ensuring the standardized progress of the sampling process after disputes are properly resolved, and enhancing the rigor of quality control.

[0059] In some embodiments, the method is used for manual sampling of easily pulverized materials, including coke, metallurgical lime, and lightly calcined dolomite blocks.

[0060] Automatic sampling machines for easily pulverized materials such as coke, metallurgical lime, and lightly calcined dolomite blocks can damage particle size due to drill bit compression. However, the manual sampling method of this invention eliminates the need for equipment compression, avoiding particle size damage and ensuring the accuracy of particle size as a key settlement indicator, thus reducing supplier objections. Secondly, considering the potential surface and internal quality differences in easily pulverized materials, the method combines surface quality inspection, cross-sectional quality inspection, and cross-sectional sampling to accurately capture their quality characteristics. This avoids the shortcomings of automatic sampling and ensures the representativeness of easily pulverized material samples through standardized manual operation, meeting the quality inspection requirements of these special materials.

[0061] The main functions of this invention are:

[0062] This invention employs a standardized process of "information verification → surface quality inspection → random unloading → cross-sectional quality inspection → cross-sectional sampling → photographic evidence collection," clearly defining the operational standards for each step (such as sampling point distribution, sampling quantity, and inspection items). This avoids problems such as uneven sampling points and insufficient sampling quantity, improving the controllability of the sampling process and resolving issues of non-standard operation. The random unloading scheme (randomly generated by the quality system) avoids the human selection of unloading locations. The inclined cross-section inspection covers the internal state of the material, and the nine-point cross-section sampling method achieves three-dimensional coverage of the cross-section, ensuring that the sample can truly reflect the quality of the entire batch of materials. This provides accurate inspection data for production, reduces production risks caused by sample distortion, and improves sample representativeness and inspection accuracy. The random unloading scheme (randomly generated by the quality system) also eliminates targeted unloading. Photographic evidence collection at every stage enables process traceability, and abnormalities are immediately paused to prevent violations. This process reduces the space for human intervention, avoids intentional sampling, collusion for profit, and other behaviors, ensuring that enterprise procurement costs are not lost and reducing the risk of human error. Objective photographic documentation of the sampling process and standardized objection handling procedures provide clear evidence for quality disputes, reduce the probability of suppliers objecting to test results, maintain stable supply channels, ensure the continuity of material supply, and reduce supply and demand disputes.

[0063] The functions described herein can be implemented in hardware, software executed by a processor, firmware, or any combination thereof. If implemented in software executed by a processor, the functions can be stored as one or more instructions or codes on or transmitted via a computer-readable medium. Other examples and embodiments are within the scope and spirit of this invention and the appended claims. For example, due to the nature of software, the functions described above can be implemented using software executed by a processor, hardware, firmware, hardwired, or any combination thereof. Furthermore, the functional units can be integrated into a single processing unit, or each unit can exist physically separately, or two or more units can be integrated into a single unit.

[0064] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0065] The units described as separate components may or may not be physically separate. Similarly, the components of the control device may or may not be physical units; they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0066] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be covered within the scope of the claims and specification of the present invention.

Claims

1. A method for manual sampling of incoming materials, characterized in that: Includes the following steps: S1: Information Verification: Receive the sampling notification, verify the incoming material information and unloading location, and print the sampling notification form; S2: Surface quality inspection: Upon arrival at the sampling site, verify the information on the sampling notification form and the incoming material information. After confirming that everything is correct, board the material transport vehicle and visually inspect the surface quality of the material. If the surface quality is abnormal, initiate the quality objection handling process. If the surface quality is normal, proceed to the next step; S3: Random Unloading: Instructing the driver to unload the vehicle according to the unloading plan, which is randomly generated by the quality assessment system; S4: Cross-section quality inspection: After unloading, board the transport vehicle again to visually inspect the cross-section quality of the material; if the cross-section quality is abnormal, initiate the quality objection handling process; if the cross-section quality is normal, proceed to the next step. S5: Cross-sectional sampling: Nine-point cross-sectional sampling method is used; the nine-point cross-sectional sampling method is to arrange 9 sampling points on the cross-section according to the vertical dimensions of the upper layer, middle layer, and lower layer and the horizontal dimensions of the left, middle, and right side; if a quality problem is found during the sampling process, the sampling is stopped immediately and the quality objection handling process is initiated; if there is no quality abnormality during the sampling process, proceed to the next step; S6: Take photos as evidence: Take photos of the sampling traces as evidence and notify the receiving unit to continue unloading.

2. The method for manual sampling of incoming materials according to claim 1, characterized in that: In step S1, the sampling notification form contains key sampling information, which includes at least the date, arrival time, supplier, material name, and vehicle number; the sampling notification form is printed through the quality control system.

3. The method for manual sampling of incoming materials according to claim 1, characterized in that: In step S2, the surface quality inspection items include color, particle size uniformity, impurity content, stratification, mixed packaging, and substitution of inferior goods for superior ones.

4. The method for manual sampling of incoming materials according to claim 1, characterized in that: In step S3, the unloading scheme is to unload until 1 / 2, 1 / 4, or 3 / 4 of the material remains in the truck compartment.

5. The method for manual sampling of incoming materials according to claim 1, characterized in that: In step S4, the material cross-section is an inclined cross-section formed by the residual material in the carriage, and the cross-section quality inspection items are the same as the surface quality inspection items.

6. The method for manual sampling of incoming materials according to claim 5, characterized in that: In step S5, the upper layer is the top 1 / 3 height of the inclined section, the middle layer is the middle 1 / 3 height of the section, and the lower layer is the bottom 1 / 3 height of the section; the left part is the left 1 / 3 width of the section, the middle part is the middle 1 / 3 width of the section, and the right part is the right 1 / 3 width of the section.

7. The method for manual sampling of incoming materials according to claim 1, characterized in that: In step S5, the sample volume at each sampling point is no less than 2 kg, and the total sample volume is no less than 20 kg.

8. The method for manual sampling of incoming materials according to claim 1, characterized in that: Step S2 also includes taking photos of the front of the vehicle and the surface of the material as evidence.

9. The method for manual sampling of incoming materials according to claim 1, characterized in that: Step S4 also includes taking photos of the material cross-section as evidence.

10. A method for manual sampling of incoming materials according to claim 1, characterized in that: In step S6, when taking photos of the sampling traces as evidence, photos that reflect the implementation of the unloading plan and the distribution of sampling points must be taken.

Images