An engineering slag soil apparent over-diameter cause discrimination and shunt disposal method and system

Abstract

The present disclosure provides an engineering slag apparent oversize cause discrimination and shunting treatment method and system. The method obtains a wet-state engineering slag sample from the corresponding batch of the main material flow to be shunted and establishes a batch correlation, performs a first screening under low disturbance conditions calibrated by a particle size standard sample and an aggregation retention sample to obtain a pre-disturbance apparent oversize ratio, recovers and recombines to apply a low-energy disturbance calibrated by a disaggregation reference sample and a hard particle sample, and then performs a second low-disturbance screening to obtain a residual oversize ratio, which is verified by mass recovery; the residual oversize is completely classified and the classification mass balance is verified, a disaggregation response index is calculated, a treatment path is determined according to two-stage discrimination, and the corresponding batch is shunted. The present disclosure enables apparent oversize of different causes to enter a treatment path suitable for its properties, reducing the risk of wet sticky material blocking equipment, flexible debris winding equipment, hard particles being insufficiently treated, and debris being mixed into the product after being crushed.

Description

Technical Field

[0001] This disclosure relates to the fields of engineering waste resource utilization, solid waste front-end sorting and production process control, and in particular to a method and system for identifying the cause of apparent oversize of engineering waste and for diverting and disposing of it. Background Technology

[0002] Construction waste originates from excavation of foundation pits, development of underground spaces, and construction activities such as roads, rail transit, and municipal engineering. For construction waste with high water content and strong cohesion, fine particles tend to agglomerate into mud clumps under wet conditions. Its resource utilization treatment usually involves screening as the core process, separating materials larger than the target particle size from the main material stream before further processing.

[0003] However, for engineering waste with high water content and high viscosity, the material larger than the target particle size obtained from a single screening (i.e., apparent oversize) may consist of a variety of materials with completely different origins: wet mud clumps formed by fine particles binding together and easily dispersed by slight mechanical action; hard particles such as bricks, stones, and concrete blocks; cemented soil clumps mainly composed of soil or cemented soil; and impurities such as plastics, fabrics, wood chips, metals, and fibrous materials. The appropriate treatment pathways for apparent oversizes of different origins are different, and a single screening can only provide the quantity of apparent oversizes, not their composition.

[0004] Existing soil aggregate stability tests are mainly used to evaluate the structure of natural soil. They do not involve distinguishing between wet mud clumps, hard particles, cemented soil blocks and debris in the same testing process, nor do they involve using the inadvertent breakage of hard particles to constrain the disturbance intensity, or using the test results of small samples for production diversion of corresponding batches. Although existing engineering waste production lines can adjust the process according to particle size or product indicators, it is difficult to reliably determine at the front end of production whether large pieces on the screen will deagglomerate under specified low-energy disturbance and what the residue after disturbance is composed of.

[0005] Therefore, the core technical problem that urgently needs to be solved in this field is: how to reliably determine the origin of apparent oversized material in high-moisture and high-viscosity engineering waste at the production front end, and accurately apply the determination results to the corresponding batches to achieve diversion and disposal according to origin. Summary of the Invention

[0006] The inventors discovered through research that a single screening process can only reflect the quantity of materials larger than the target particle size, and cannot distinguish whether the material is mainly caused by easily deagglomerated mud clumps, hard particles, cemented soil blocks, or other debris. Therefore, it is difficult to select the appropriate treatment path such as deagglomeration, impurity removal, or crushing at the production front end based on the cause. This is the core technical problem that leads to the mixing of debris into soil or recycled products, the clogging of equipment by wet and sticky materials, the entanglement of moving parts of equipment by film fabrics and fibrous debris, insufficient treatment of hard particles, and unnecessary crushing and repeated processing.

[0007] The inventors further discovered that to reliably solve this core technical problem, it is necessary to overcome simultaneously the interrelated obstacles: First, an excessively strong first screening will break up the mud clumps before the initial data is obtained, resulting in a low initial apparent oversize ratio. Second, excessive disturbance between the two screenings may break the bricks and concrete, resulting in a higher depolymerization response. Third, wet and sticky materials are prone to sticking, residue, or spillage. If the recycling quality is not checked, the reduction of material on the screen may simply be material loss rather than actual deagglomeration. Fourth, the depolymerization response and residual oversize ratio alone cannot distinguish between debris, cemented soil blocks, and hard particles; Fifth, there is a time difference in detection during continuous conveying. If the small sample does not correspond to the main material batch, the judgment result may be applied to the wrong material.

[0008] In view of the above-mentioned technical problems, this disclosure provides a method and system for identifying the causes of apparent oversize of engineering waste and for diverting and disposing of it. The system can obtain the deagglomeration response through two low-disturbance screenings after calibration and intermediate low-energy disturbance, and perform two-level discrimination by combining quality recovery verification, residue integrity classification and classification quality balance verification. The discrimination conclusion is then applied to the corresponding batch to achieve front-end diversion and disposal.

[0009] According to one aspect of this disclosure, a method for identifying the cause of apparent oversize of construction waste and for its diversion and disposal is provided, comprising: Take a wet engineering waste sample from the corresponding batch of the main material flow to be diverted, record the sample batch identifier, determine the target particle size threshold d according to the product particle size requirements or the allowable feed particle size of the subsequent equipment, weigh the initial total mass M of the sample, and ensure that the sample is compatible with the corresponding batch and the corresponding batch can be diverted separately before the discrimination is completed. Under low-disturbance conditions calibrated with particle size standard samples and agglomeration retention samples, the small sample was sieved for the first time, the amount of material on the sieve was weighed M0, and the apparent oversize ratio before disturbance was calculated as P0=M0 / M. The material obtained from the first screening, including the oversize, undersize, and adhering material, is recovered and combined back into a single small sample. During the recovery process, the wet aggregates on the screen are not rubbed, crushed, knocked, or strongly scraped. A low-energy perturbation, calibrated by the depolymerization reference sample and the hard particle sample, is applied to the same sample after recombination; Under the same conditions as the first sieve or calibrated to be equivalent, the same sample after disturbance is sieved a second time, and the amount of residual material on the sieve M1 is weighed. The adhering material that can be identified as originating from the residual material on the sieve is included in M1, and the proportion of residual oversize after disturbance is calculated as P1 = M1 / M. The oversize, undersize, and adhering material obtained from the second screening are recovered, and the total recovered mass M is obtained by weighing the collected materials. rAnd calculate the mass recovery rate η=M r / M, formal judgment is only performed when |1-η| is not greater than the preset quality deviation limit δ; When M1>0, all residual sieve material is separated without repetition into impurities, hard particles, cemented soil lumps, and other unclassified residues, and each is weighed to obtain M. i M h M b and M o Calculate the classification quality deviation rate D c =|M1-(M i +M h +M b +M o )| / M1, only in D c Not greater than the preset classification quality deviation limit δ c The classification and weighing results are used for formal path determination. Calculate the depolymerization response exponent R = (P0 - P1) / (P0 + ε), where ε = max(P0 + ε). min ,u P ), P min To minimize the effective apparent over-diameter ratio, u P Let P0 and P1 be the combined detection uncertainty; The treatment path is determined by two levels of discrimination based on P0, P1, R, impurity index and residual composition ratio; The corresponding batch is controlled to enter the determined processing path based on the sample batch identifier.

[0010] In some embodiments of this disclosure, the sample batch identifier includes at least a sample number, sampling time, material source, main conveyor line number, and batch number; the sample is formed by mixing multiple incremental samples obtained from the same batch at different time points and / or different lateral positions; the matching relationship between the sample and the corresponding batch is maintained by storing the corresponding batch in a batch silo, buffer silo, stopable conveyor section, or temporary storage unit, or by tracking the corresponding main material flow section based on at least two of the following: the conveying distance from the sampling position to the diversion position, the conveying speed, the conveyor belt load, and the batch boundary sensing signal.

[0011] In some embodiments of this disclosure, the particle size standard sample includes a group of small-diameter standard particles with an initial particle size less than d and a group of large-diameter standard particles with an initial particle size greater than d. The mass ratio of the small-diameter standard particles passing through the target sieve aperture is denoted as the passing rate T. p The percentage of large-diameter standard particles retained by the target sieve openings is denoted as the retention rate T. r The integrity retention rate (A) is defined as the proportion of wet aggregates with known soil type, moisture content, initial size, and sample preparation conditions that still meet the preset integrity criteria after sieving. gThe complete criterion is determined based on at least one of the following: whether the aggregate undergoes main body splitting, whether the remaining main body particle size is still not less than the specified maintenance particle size, and the degree of morphological integrity; only those simultaneously satisfying T... p T r and A g At least one of the following parameters—preset lower limits for screen aperture size, screening time, screen surface amplitude, screen surface frequency, number of manual turnings, and upper limit for unit mass detection energy—is determined as low disturbance conditions.

[0012] In some embodiments of this disclosure, low-energy disturbance employs at least one of the following: low-speed tumbling with flexible blades, low-speed tumbling with a drum, low-acceleration vibration loosening, or low-speed stirring. The disturbance intensity is limited by the disturbance time and at least one of the following: rotational speed, vibration frequency, vibration acceleration, or energy input per unit mass. The charge mass and device filling rate are recorded and maintained within a preset range. The apparent oversize ratio of the depolymerization reference sample before and after the application of the candidate low-energy disturbance parameters is P. r0 and P r1 Depolymerization response R r =(P r0 -P r1 ) / (P r0 +ε r Candidate parameters make R r The preset lower limit has been reached.

[0013] In some embodiments of this disclosure, the hard particle sample is a brick, stone, or concrete block whose type, source, initial particle size range, and / or strength grade are known, and whose lower limit of initial particle size is d. c The new addition after the disturbance is less than d c The proportion of the particle mass to the total mass of the hard particle sample before disturbance is denoted as B=M. s / M c After disturbance, the particles remain intact and have a particle size not less than d. c The ratio of the number of particles to the number of intact particles before disturbance is denoted as I = N1 / N0. When B does not exceed the preset upper limit and I is not lower than the preset lower limit, the candidate parameters meet the requirements for controlling the false breakage of hard particles. The above calibration is used to establish or verify low-disturbance screening conditions and low-energy disturbance parameters. When the equipment and operating conditions are within the calibrated applicable range, the calibrated conditions and parameters can be directly used for subsequent batch testing. When the equipment is repaired, the disturbing parts are replaced, the typical material source changes, the applicable moisture content range changes, or the loading conditions exceed the preset range, recalibration should be performed.

[0014] In some embodiments of this disclosure, from the first sieving to the end of the second sieving, the moisture content of the sample is not changed by pre-drying, adding water to adjust humidity, or chemical conditioning.

[0015] In some embodiments of this disclosure, adhering material that can be identified as originating from the residual sieve material is included in the residual sieve material, and adhering material that can be identified as originating from the undersize material is included in the undersize material. When the source of the adhering material cannot be determined and its quality is sufficient to affect the quality recovery verification or classification quality balance verification, supplementary recovery, re-weighing, re-classification, retesting, or entering the verification path is performed. When |1-η| is greater than δ, at least one of the following is performed: equipment cleaning, supplementary recovery of adhering material, and re-weighing. If the requirements are still not met, a second screening and quality recovery verification is performed, or a parallel small sample is taken from the same batch for re-judgment.

[0016] In some embodiments of this disclosure, P min According to the minimum overdiameter mass M that the weighing equipment can reliably identify. min The initial total mass M is determined to be P. min =M min / M, where M min Determined based on the resolution of the weighing equipment and the repeatability of the test; u P The combined detection uncertainty of P0 and P1 is determined based on the weighing error, repeatability sieving deviation, mass recovery deviation, and equivalent device error; when P0 <P min When P1 ≥ P0, do not use R alone to determine the cause; when P1 ≥ P0, check the quality recovery, sieve blockage, sample re-agglomeration and test repeatability. If P1 ≥ P0 is still satisfied after retesting, proceed to the verification path.

[0017] In some embodiments of this disclosure, for films, fabrics, or fibrous impurities, at least one of their quantity, unfolded area, maximum length, and entanglement state is also recorded; the impurity removal trigger determination is based on Q. t and Q s In addition, it also depends on whether at least one of the following thresholds is reached: the quantity of the recorded film, fabric, or fibrous debris, the unfolded area, the maximum length, or the entanglement state.

[0018] In some embodiments of this disclosure, classification is performed by at least one of manual sorting, magnetic separation, air separation, image recognition, near-infrared recognition, hardness testing, indentation testing, cross-section recognition, or immersion disintegration test; hard particles include at least one of bricks, stones, and concrete blocks; cemented soil blocks are residues that are still larger than d after low-energy disturbance, whose material is mainly soil or cemented soil, and which are not identified as debris or hard particles; for residues that need to be classified by destructive testing, their mass is recorded before destructive testing, and the mass is included in the corresponding category after the category is determined.

[0019] In some embodiments of this disclosure, the two-level discrimination includes a first-level preliminary discrimination and a second-level component discrimination; in the first level, when Q t When the corresponding threshold is reached, or when M1>0, Q sThe impurity removal process is triggered when the impurity treatment trigger ratio is reached, or when the morphological index of film / fabric / fibrous impurities reaches the corresponding threshold. When P... n Not exceeding the residual over-diameter threshold and Q h and Q b None of them reached their respective trigger ratios and Q o If the verification trigger ratio is not reached, output the noise removal path; otherwise, proceed to the second stage. If noise removal is not triggered and P1 exceeds the residual overpath threshold, proceed to the second stage. If noise removal is not triggered, P1 does not exceed the residual overpath threshold, and P0... <P min When no noise removal is triggered, P1 does not exceed the residual overpath threshold and P0 ≥ P, the normal main processing path is output; min When R is not lower than the response threshold, a de-aggregation path is output; when R is lower than the response threshold, a regular mainline processing path is output. In the second level, when the components cannot be reliably determined, Q... o When the review trigger ratio is reached or the parallel sample conclusions are inconsistent, the path to be reviewed is output; the first level has already triggered impurity removal and P n Exceeding the residual over-diameter threshold but Q h and Q b If none of the processing trigger ratios are reached, the path to be reviewed is output; if the first stage does not trigger impurity removal and P1 exceeds the residual overpath threshold but Q... h and Q b If none of the above-mentioned processing trigger ratios are reached, the path to be reviewed is output; if it does not fall under the aforementioned review-pending situation, the first-level cleanup that has already been triggered will be listed as a processing step, Q. b When the trigger ratio is reached, enhanced de-aggregation will be listed as a processing step, Q. h When the processing trigger ratio is reached, crushing will be listed as a processing step; when only one processing step is listed, a single path will be output; when at least two processing steps are listed, a combined processing path will be generated in the order of impurity removal, enhanced deagglomeration, and crushing.

[0020] In some embodiments of this disclosure, the response threshold is determined based on the R distribution obtained under the same conditions from a reference sample mainly composed of easily disintegrating wet mud clumps and a reference sample mainly composed of hard particles or cemented soil blocks. When the R intervals of the two types of reference samples do not overlap, the threshold is set between the two. When the intervals overlap, the overlapping part is set as a gray zone. The residual oversize threshold is determined based on the allowable oversize ratio of the target product or the allowable load of subsequent equipment. Gray zones are set on both sides of each threshold. When the index is located in the gray zone, at least two parallel small samples are added for retesting. When the conclusions are inconsistent, the test enters the verification path.

[0021] In some embodiments of this disclosure, after determining the processing path, a preset proportion of material from the corresponding batch is first sent into the path as a pilot flow, and at least one of the following is detected: residual oversize ratio, impurity ratio, processing volume per unit time, and equipment blockage or entanglement status. If the re-inspection result meets the preset amplification conditions, the remaining material of the batch is sent into the same path; if not, the processing parameters are adjusted, the processing path is changed, the pilot flow is returned, or the batch is transferred to the path to be reviewed.

[0022] According to another aspect of this disclosure, a controller for identifying and diverting engineering waste with apparent oversize is provided, comprising: The sampling association module is configured to obtain the initial total mass M and sample batch identifier of the wet engineering waste soil sample obtained from the corresponding batch of the main material flow to be diverted, determine the target particle size threshold d, and maintain the matching relationship between the sample and the corresponding batch. The sieving control module is configured to control the first and second sieving under low disturbance conditions calibrated by particle size standard samples and agglomeration retention samples, to obtain the amount of material on the sieve M0 and the amount of residual material on the sieve M1, and to calculate P0=M0 / M and P1=M1 / M. The perturbation control module is configured to control the application of low-energy perturbations to the same re-merged sample under conditions calibrated with the depolymerized reference sample and the hard particle sample; The quality recycling verification module is configured to obtain the total recycled mass M. r Calculate the mass recovery rate η=M r / M, and determine whether |1-η| is not greater than the preset quality deviation limit δ; The classification and verification module is configured to obtain the mass M of the debris when M1>0. i Hard particle mass M h Mass M of cemented soil block b Other unclassified residues mass M o Calculate the classification quality deviation rate D c =|M1-(M i +M h +M b +M o )| / M1, and determine D c Is it not greater than the preset classification quality deviation limit δ? c ; The discrimination module is configured to calculate the disaggregation response exponent R = (P0 - P1) / (P0 + ε), where ε = max(P0 + ε). min ,u P ), P min To minimize the effective apparent over-diameter ratio, u PThe combined detection uncertainty of P0 and P1; the discrimination module is configured to operate only when |1-η| is not greater than the preset quality deviation limit δ, and M1=0 or the classification quality deviation rate D c Not greater than the preset classification quality deviation limit δ c Formal discrimination is carried out in a timely manner, and the treatment path is determined by two levels of discrimination based on P0, P1, R, impurity index and residual composition ratio; The diversion control module is configured to send diversion instructions to the diversion actuator based on the sample batch identifier, thereby controlling the corresponding batch to enter the determined processing path.

[0023] According to another aspect of this disclosure, a controller for identifying and diverting engineering waste with apparent oversize is provided, comprising: Memory, used to store instructions; A processor is configured to execute the instructions, causing the controller to perform the control and data processing steps performed by the controller in the engineering waste apparent over-diameter cause identification and diversion disposal method as described in any of the above embodiments.

[0024] According to another aspect of this disclosure, a system for identifying and diverting engineering waste with apparent oversize is provided, comprising: a main material flow conveying assembly for conveying engineering waste to be diverted; a sampling association assembly for obtaining wet engineering waste samples from corresponding batches of the main material flow and establishing an association between the samples and the corresponding batches; a batch correspondence assembly, including a batch holding assembly and / or a batch tracking unit, for maintaining the matching between the samples and the corresponding batches and enabling the corresponding batches to be diverted separately before identification is completed; a low-disturbance screening assembly for performing a first screening and a second screening on the same sample under low-disturbance conditions; a recovery and merging assembly for recovering the oversize, undersize, and adhering material obtained from the first screening and re-merging them into the same sample; and a low-energy disturbance... The system includes: a component positioned between two sieving processes to apply low-energy perturbation to the same sample after re-merging; a calibration component including a particle size standard sample and an agglomeration retention sample calibration station for calibrating low-perturbation sieving conditions, and a deagglomeration reference sample and a hard particle sample calibration station for calibrating low-energy perturbation parameters; a mass recovery component for recovering the oversize, undersize, and adhering material obtained from the second sieving process and performing mass recovery verification; a residue sorting component for separating the residual oversize material obtained from the second sieving process into impurities, hard particles, cemented soil lumps, and other unclassified residues; a controller as described in any of the above embodiments; and a diversion actuator for guiding the batch corresponding to the sample into the determined processing path according to the diversion command output by the controller.

[0025] According to another aspect of this disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions that, when executed by a processor, implement the control and data processing steps performed by a controller in the engineering waste apparent oversize cause identification and diversion disposal method as described in any of the above embodiments.

[0026] In summary, this disclosure has the following beneficial effects: This disclosure calibrates low-disturbance sieving conditions using particle size standard samples and agglomeration retention samples to limit the disturbance intensity of the first sieving to avoid prematurely breaking up wet mud clumps before obtaining the initial apparent oversize ratio; it calibrates low-energy disturbance parameters using deagglomeration reference samples and hard particle samples to ensure that the disturbance has sufficient mud clump deagglomeration capacity without excessively breaking up hard particles; it eliminates false changes caused by adhesion, residue, or spillage by calculating the apparent oversize ratio twice based on the same initial mass and performing mass recovery verification; and it completes and non-repeatedly classifies the remaining oversize material and verifies the classification quality. To achieve a balance and avoid misclassifying debris, cemented soil lumps, and hard particles based solely on deagglomeration response and residual oversize ratio; to match appropriate treatment paths by classifying apparent oversize materials of different origins through two-level discrimination, and to reduce the breaking of debris into smaller, more difficult-to-separate fragments in combined treatment paths by prioritizing impurity removal over crushing; to ensure that the discrimination conclusions apply to the same batch of samples through batch retention or batch tracking, and to reduce the risk of path selection errors spreading to the entire batch of materials through pilot flow verification, thereby improving the accuracy of front-end diversion and disposal of engineering waste and the stability of production line operation. Attached Figure Description

[0027] To more clearly illustrate the technical solutions in the embodiments of this disclosure or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this disclosure. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0028] Figure 1 This is a flowchart illustrating the methods for identifying the causes of apparent oversize of construction waste and for its diversion and disposal.

[0029] Figure 2 This is a flowchart illustrating the two-level discrimination and processing path of S9.

[0030] Figure 3 This is a schematic diagram of the structure of the system for identifying the cause of apparent oversize of construction waste and for its diversion and disposal. Detailed Implementation

[0031] The technical solutions of the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this disclosure, and not all embodiments. The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit this disclosure or its application or use. All other embodiments obtained by those skilled in the art based on the embodiments of this disclosure without creative effort are within the scope of protection of this disclosure.

[0032] Unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps set forth in these embodiments do not limit the scope of this disclosure.

[0033] Techniques, methods, and equipment known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and equipment should be considered part of the specification.

[0034] It should be noted that similar labels and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be discussed further in subsequent figures.

[0035] Construction waste originates from excavation of foundation pits, development of underground spaces, and construction activities such as roads, rail transit, and municipal engineering. Its moisture content and material composition fluctuate significantly. For construction waste with high moisture content and strong viscosity, fine particles easily agglomerate to form mud clumps under wet conditions. These mud clumps appear as materials larger than the target particle size in a single screening, but they are not essentially hard particles that need to be crushed.

[0036] Meanwhile, construction waste may also contain bricks, concrete blocks, cemented soil blocks, as well as plastics, fabrics, wood chips, metals, and fibrous debris. A single screening can only reflect the quantity of materials larger than the target particle size, and cannot distinguish the main causes of apparent oversize particles, making it difficult to directly select treatment paths such as deagglomeration, impurity removal, or crushing.

[0037] If the cause of apparent oversized material is not distinguished and a uniform treatment method is used, it may lead to wet and sticky materials clogging the equipment, flexible debris entanglement in the equipment, debris being broken into smaller fragments that are more difficult to separate and continue to be mixed into the product, insufficient treatment of hard particles, and unnecessary repeated processing.

[0038] The method provided in this disclosure, through the combination of two low-disturbance sieving after calibration, intermediate low-energy disturbance, quality recovery verification, complete classification of residues and classification quality balance verification, and two-level discrimination, enables apparent oversize materials of different origins to enter a processing path that is suitable for their properties.

[0039] The present disclosure will now be described through specific embodiments.

[0040] Figure 1 This diagram illustrates some embodiments of the method for identifying and diverting the apparent oversize of construction waste in this project. Preferably, this embodiment can be executed by the controller or system for identifying and diverting the apparent oversize of construction waste in this project. Figure 1 As shown, Figure 1 The method of the embodiment may include steps S1 to S10.

[0041] In step S1, a wet engineering slag sample is obtained from the corresponding batch of the main material flow to be diverted, the sample batch identifier is recorded, the target particle size threshold d is determined according to the product particle size requirements or the allowable feed particle size of the subsequent equipment, the initial total mass M of the sample is weighed, and the sample is kept to be compatible with the corresponding batch and the corresponding batch can be diverted separately before the discrimination is completed.

[0042] In some embodiments of this disclosure, the sample batch identifier includes at least the sample number, sampling time, material source, main conveyor line number, and batch number. To improve representativeness, a sample may be formed by mixing multiple incremental samples obtained from the same batch at different time points and / or different lateral positions.

[0043] Maintain the matching relationship between the sample and the corresponding batch by at least one of the following methods: store the corresponding batch in a batch silo, buffer silo, stopable conveyor section or temporary storage unit so that it can be released and diverted independently before the judgment is completed; or track the corresponding main material flow section based on at least two of the following: the conveying distance from the sampling position to the diversion position, the conveying speed, the conveyor belt load and the batch boundary sensing signal.

[0044] In some embodiments of this disclosure, when using a batch holding method, the effective capacity C can be determined based on the maximum mass flow rate q of the main line, the longest discrimination time T, and the safety factor k, satisfying C≥q×T×k. Multiple parallel buffer bins can take turns feeding and discharging, reducing the impact of waiting for discrimination on the main line.

[0045] When using batch tracking, the theoretical delay time t = L / v can be calculated based on the distance L from the sampling point to the diversion point and the average material velocity v, and then corrected by considering conveyor belt load, speed changes, slippage, and batch boundary signals. Batch tracking is only used when the determination can be completed before the corresponding section reaches the diversion position and the section can be reliably identified.

[0046] In step S2, under low-disturbance conditions calibrated by particle size standard sample and agglomeration retention sample, the small sample is sieved for the first time, the amount of material on the sieve M0 is weighed and the apparent oversize ratio before disturbance P0=M0 / M is calculated.

[0047] In some embodiments of this disclosure, the particle size standard samples include a group of small-diameter standard particles with an initial particle size less than d and a group of large-diameter standard particles with an initial particle size greater than d. Let the initial mass of the small-diameter standard particle group be M.p0 The mass passing through the target sieve aperture is M. pp Then the pass rate T p =M pp / M p0 Let the initial mass of the large-diameter standard particle group be M. g0 The mass retained by the target sieve aperture is M. gr Then the retention rate T r =M gr / M g0 Only T p and T r Only when all candidates reach their respective preset lower limits can the particle size recognition requirements be met.

[0048] In some embodiments of this disclosure, the aggregate retention sample is an artificial wet mud mass with known soil type, moisture content, initial size, sample preparation pressure, and settling time. A complete criterion can be determined based on at least one of the following: whether the aggregate has undergone bulk splitting, whether the remaining bulk particle size is still not less than the specified retention particle size, and the degree of morphological integrity.

[0049] When using mass as the benchmark, let M be the total mass of the agglomerated sample before sieving. a0 The mass of aggregates that still meet the integrity criterion after sieving is M. a1 Then the integrity retention rate A g =M a1 / M a0 ; When based on quantity, A g It is the ratio of the number of intact aggregates after sieving to the number of intact aggregates before sieving.

[0050] In some embodiments of this disclosure, only those simultaneously satisfying T p T r and A g Low-disturbance conditions are defined by at least one of the following parameters: preset lower limit sieve aperture size, sieve time, sieve surface amplitude, sieve surface frequency, number of manual turnings, and upper limit of unit mass detection energy. The same sieve device is used for both sieve analyses, or a device calibrated to T using the same calibration sample. p T r and A g Both screening devices are within the preset equivalent range.

[0051] In step S3, the oversize and undersize materials obtained from the first screening, as well as the adhering materials on the screen surface, container, tools, and transfer components, are recovered and recombined into the same sample.

[0052] In some embodiments of this disclosure, the wet agglomerates on the screen are not rubbed, crushed, knocked, or forcefully scraped during the recycling process to avoid artificially altering the structural state of the agglomerates before the low-energy disturbance step.

[0053] In step S4, a low-energy perturbation calibrated by the depolymerization reference sample and the hard particle sample is applied to the re-merged same sample.

[0054] In some embodiments of this disclosure, low-energy disturbance employs at least one of the following: low-speed tumbling with flexible blades, low-speed tumbling of drums, low-acceleration vibration loosening, or low-speed stirring. The disturbance intensity is limited by the disturbance time and at least one of the following: rotational speed, vibration frequency, vibration acceleration, or energy input per unit mass. The charge mass and device filling rate are recorded and maintained within preset ranges.

[0055] In some embodiments of this disclosure, the depolymerization reference sample may be an artificial wet mud lump with known soil type, moisture content, initial size, and sample preparation conditions. The experiment is conducted in the order of first sieving, candidate parameter perturbation, and second sieving to obtain the apparent oversize ratio P before and after perturbation. r0 and P r1 .

[0056] Depolymerization response R of the depolymerization reference sample r Calculate R using the following formula: r =(P r0 -P r1 ) / (P r0 +ε r ), where ε r Determined based on the minimum effective apparent oversize ratio and detection uncertainty of the depolymerization reference sample. Only R r Only when the preset lower limit is reached will the candidate parameters have sufficient de-aggregation ability.

[0057] In some embodiments of this disclosure, the hard particle sample is a brick, stone, or concrete block whose type, source, initial particle size range, and / or strength grade are known, and whose lower limit of initial particle size is d. c The new value after the disturbance is less than d. c The proportion of the particle mass to the total mass of the hard particle sample before disturbance is denoted as B=M. s / M c After disturbance, the particles remain intact and have a particle size not less than d. c The proportion of the number of particles to the number of intact particles before the disturbance is denoted as I = N1 / N0. Where M... s The new addition less than d after the disturbance c particle mass, M c The total mass of the hard particle sample before disturbance is N0, and N1 represents the mass of the intact particles with a diameter not less than d before and after disturbance, respectively. c The number of particles.

[0058] Intact particles refer to particles that have not undergone visible fracture and whose particle size is still not less than d. c Particles. When B does not exceed the preset upper limit B. maxAnd I is not lower than the preset lower limit I min At that time, the candidate parameters meet the requirements for controlling the accidental breakage of hard particles.

[0059] In some embodiments of this disclosure, the candidate parameters simultaneously satisfy R r ≥R min B≤B max and I≥I min When all parameters are qualified, the parameters with lower input energy per unit mass, shorter disturbance time, or better repeatability can be selected first.

[0060] In one example of this disclosure, the calibration acceptance limit for low-disturbance screening conditions can be set as: pass rate T p Not less than 0.95, retention rate T r Not less than 0.95, integrity retention rate A g Not less than 0.90; the calibration acceptance limit for low-energy perturbation parameters can be set as: the preset lower limit R of the depolymerization response. min =0.60, added preset upper limit B for fine particle ratio max =0.05, Preset lower limit I for intact particle retention rate min =0.90. Both the agglomeration retention sample and the deagglomeration reference sample can be artificially prepared using silty clay in a plastic state, with the moisture content controlled between the plastic limit and liquid limit (e.g., 25% ± 2%), to form spherical wet agglomerates with a diameter of 30-50 mm. These agglomerates should be allowed to stand in a sealed container for 2 hours before use. For hard particle samples, 10 sintered common bricks and 10 concrete blocks with an initial particle size of 25-40 mm can be used, with the lower limit of the initial particle size d... c =25mm. The width of the gray zone set on both sides of each discrimination threshold can be ±10% of the corresponding threshold. For example, when the response threshold is 0.50, the gray zone is 0.45-0.55, and when the residual oversize threshold is 0.10, the gray zone is 0.09-0.11. The above example values ​​can be adjusted according to the characteristics of the material source, product requirements, and equipment performance.

[0061] In some embodiments of this disclosure, from the first sieving to the end of the second sieving, the moisture content of the sample is not altered through pre-drying, humidification, or chemical conditioning. Such condition adjustments can be implemented as a formal processing step after the determination is completed.

[0062] In some embodiments of this disclosure, when the equipment and operating conditions are within the calibrated applicable range, the calibrated low-disturbance screening conditions and low-energy disturbance parameters can be directly used for subsequent batch testing; when the equipment is repaired, the disturbing parts are replaced, the typical material source changes, the applicable moisture content range changes, or the loading conditions exceed the preset range, recalibration is performed.

[0063] In step S5, the same sample after disturbance is subjected to a second sieve under the same or calibrated equivalent sieve aperture, sieve time, sieve intensity and weighing standard as the first sieve. The mass of residual material on the sieve is weighed, and the adhering material that can be identified as originating from the residual material on the sieve is included in M1. The residual oversize ratio after disturbance is calculated as P1 = M1 / M.

[0064] In some embodiments of this disclosure, when different devices are used for the two screenings, both devices are tested using the same calibration sample, only T p T r and A g Only when both fall within the preset equivalent range are they considered equivalent. Both P0 and P1 use the initial total mass M as the denominator to compare the apparent hyperdiameter change of the same sample before and after low-energy perturbation.

[0065] In step S6, the oversize and undersize materials obtained from the second screening, as well as the adhering materials on the screen surface, container, agitation device, and transfer components, are recovered and kept distinguishable. The remaining oversize material is retained separately for subsequent sorting. The total recovered mass M is obtained by weighing the samples. r Calculate the mass recovery rate η=M r / M, formal judgment is only performed when |1-η| is not greater than the preset quality deviation limit δ.

[0066] In some embodiments of this disclosure, adhering material that can be identified as originating from the residual oversize is included in the residual oversize, and adhering material that can be identified as originating from the undersize is included in the undersize. When the source of the adhering material cannot be determined and its quality is sufficient to affect the quality recovery verification or classification quality balance verification, supplementary recovery, reweighing, reclassification, retesting, or entry into the pending verification path are carried out.

[0067] In some embodiments of this disclosure, when |1-η| is greater than δ, at least one of the following is performed: equipment cleaning, replenishment of reclaimed adhesants, and reweighing. If the requirements are still not met, a second screening and quality recovery verification are performed, or parallel samples from the same batch are taken for re-evaluation. The allowable quality deviation δ is determined based on the resolution and repeatability of the weighing equipment, the amount of reclaimable adhesants, transfer loss, and the dispersion of parallel detections.

[0068] In step S7, when M1>0, under the same weighing standard as M1, all residual sieve material is separated without repetition into impurities, hard particles, cemented soil lumps, and other unclassified residues, and M is obtained by weighing each. i M h M b and M o Calculate the classification quality deviation rate D c =|M1-(M i +M h +M b+M o )| / M1, only in D c Not greater than the preset classification quality deviation limit δ c The classification and weighing results are used to determine the formal path.

[0069] In some embodiments of this disclosure, classification can be performed by at least one of manual sorting, magnetic separation, air separation, image recognition, near-infrared recognition, hardness testing, indentation testing, cross-section identification, or water immersion disintegration testing. Hard particles include at least one of bricks, stones, and concrete blocks. Cemented soil blocks are residues that, after low-energy disturbance, are still larger than d, are primarily soil or cemented soil, and are not identified as debris or hard particles. Residues that cannot be reliably classified are included in other unclassified residues.

[0070] In some embodiments of this disclosure, for residues requiring cross-section identification, indentation testing, or immersion disintegration testing, their mass is recorded before destructive testing and included in the corresponding category after the category is determined; surface-cleaned attachments should be recycled and classified into the corresponding category; when the classification cannot be determined and its mass is sufficient to affect the balance of classification quality, the classification result is not used for formal path determination.

[0071] In some embodiments of this disclosure, when D c >δ c If the problem persists, first replenish the waste, re-sort, and re-weigh it. If the requirements are still not met, proceed to the verification process. The classification quality deviation limit δ c The determination is based on the resolution and repeatability of the sorting and weighing equipment, the ability to recover surface deposits, the dispersion of sorting operations, and the allowable sorting error.

[0072] In some embodiments of this disclosure, when the classification quality balance is qualified, the composition ratio of the residue is calculated: Q s =M i / M1 represents the proportion of impurities to the remaining material on the sieve, Q h =M h / M1 represents the proportion of hard particles to the remaining material on the sieve, Q b =M b / M1 represents the proportion of cemented soil lumps to the remaining sieve material, Q o =M o / M1 represents the proportion of other unclassified residues to the remaining residue on the sieve, Q t =M i / M represents the proportion of residual impurities on the sieve to the initial sample, P n =(M1-M i ) / M is the percentage of residual oversize after deducting identified debris.

[0073] In some embodiments of this disclosure, for films, fabrics, or fibrous debris, at least one of their quantity, unfolded area, maximum length, and entanglement state is also recorded. When M1=0, D c Q s Q h Q b and Q o Mark as not applicable, Q t and P n All are recorded as 0.

[0074] In step S8, the depolymerization response index R = (P0 - P1) / (P0 + ε) is calculated, where ε = max(P0 + ε). min ,u P ).

[0075] In some embodiments of this disclosure, P min To determine the minimum effective apparent overdiameter ratio, the minimum overdiameter mass M that the weighing equipment can reliably identify is used. min The initial total mass M is determined to be P. min =M min / M. Where M min Determined based on the resolution of the weighing equipment and the repeatability of the test. P The combined detection uncertainty of P0 and P1 is determined based on weighing error, repeated sieving deviation, mass recovery deviation, and equivalent device error. R only represents the degree of reduction in the apparent oversize ratio under a specified low-energy disturbance and cannot be used to determine the material of the residue on its own.

[0076] In some embodiments of this disclosure, when P0 <P min When P1 ≥ P0, R is not used alone for cause determination to avoid instability of the ratio when the initial oversize mass is close to the detection limit. When P1 ≥ P0, mass recovery, sieve blockage, sample re-agglomeration and detection repeatability are checked. If P1 ≥ P0 is still satisfied after retesting, it enters the verification path and is not directly identified as being dominated by hard particles.

[0077] In step S9, as Figure 2 As shown, the treatment path is determined by two levels of discrimination based on P0, P1, R, impurity index and residual composition ratio.

[0078] In some embodiments of this disclosure, the formal judgment preconditions are: the total mass recovery satisfies |1-η|≤δ, it has not entered the pending review situation of P1≥P0, and the classification quality balance satisfies D when M1>0. c ≤δ c The two-level discrimination is based on P0, P1, R, impurity indicators, and, if necessary, the composition of residues: the first-level preliminary discrimination is used to determine whether the treatment path can be directly determined; if the first-level discrimination cannot directly determine the treatment path, the second-level component discrimination is performed.

[0079] In some embodiments of this disclosure, the first-level preliminary determination includes: when Q t When the corresponding threshold is reached, or when M1>0, Q s When the debris removal trigger ratio is reached, or when at least one of the recorded quantities, unfolded areas, maximum lengths, or entanglement states of film, fabric, or fibrous debris reaches the corresponding threshold, debris removal is triggered; when P n Not exceeding the residual over-diameter threshold P L Q h and Q b None of them reached their respective trigger ratios and Q o If the verification trigger ratio is not reached, output the impurity removal path; otherwise, proceed to the second-level component discrimination.

[0080] If impurity removal is not triggered and P1 exceeds the residual hyperpathic threshold, proceed to the second-level component discrimination. If impurity removal is not triggered, P1 does not exceed the residual hyperpathic threshold, and P0... <P min At this time, the normal main processing path is output. No impurity removal is triggered, P1 does not exceed the residual overpath threshold, and P0 ≥ P. min If R is not lower than the response threshold, the de-aggregation path is output; if R is lower than the response threshold, the regular mainline processing path is output.

[0081] In some embodiments of this disclosure, the second-level component discrimination includes: when the component cannot be reliably determined, Q o When the review trigger ratio is reached or the parallel sample conclusions are inconsistent, the path to be reviewed is output.

[0082] Level 1 has triggered cleanup and P n Exceeding the residual over-diameter threshold but Q h and Q b If none of the processing trigger ratios are reached, the path to be reviewed is output; if the first stage does not trigger impurity removal and P1 exceeds the residual overpath threshold but Q... h and Q b If none of the processes have reached their respective trigger ratios, output the path to be reviewed.

[0083] If the situation does not fall under the aforementioned pending review circumstances, and the first-level impurity removal has already been triggered, then impurity removal will be listed as a processing step. b When the trigger ratio is reached, enhanced de-aggregation will be listed as a processing step, Q. h When the processing trigger ratio is reached, crushing will be listed as a processing step; when only one processing step is listed, a single path will be output; when at least two processing steps are listed, a combined processing path will be generated in the order of impurity removal, enhanced deagglomeration, and crushing.

[0084] In some embodiments of this disclosure, the conventional mainline processing path refers to a path that does not include specific impurity removal, deagglomeration, or crushing steps targeting the cause of apparent oversize. The deagglomeration path targets easily deagglomerated clumps. Enhanced deagglomeration paths may include water content adjustment and deagglomeration steps stronger than low-energy disturbances used for detection. Impurity removal paths take precedence over crushing to reduce the breaking of impurities into smaller, more difficult-to-separate fragments. Crushing paths target hard particles. Combined processing paths execute the steps in the order of impurity removal, enhanced deagglomeration, and crushing to reach the triggering condition. Material in the pending verification path enters a temporary storage bin or isolation unit.

[0085] In some embodiments of this disclosure, the response threshold is determined based on the R distribution obtained under the same conditions for a reference sample dominated by easily depolymerized wet mud clumps and a reference sample dominated by hard particles or cemented soil blocks. When the R intervals of the two types of reference samples do not overlap, the response threshold is set between them; when the intervals overlap, the overlapping portion is designated as a gray zone. Residual oversize threshold P L Determined based on the allowable oversize ratio of the target product or the allowable load of subsequent equipment.

[0086] Q s The debris treatment trigger ratio is determined based on the allowable debris content of the target soil or recycled product, the load of the debris removal equipment, the minimum effective processing capacity of the debris removal equipment, and the risk of debris entering subsequent equipment and causing blockage or entanglement.

[0087] Q t The corresponding thresholds for films, fabrics, or fibrous debris are determined based on the permissible debris content of the target soil or recycled product and the risk of equipment blockage or entanglement.

[0088] Q h and Q b The processing trigger ratio is determined based on the minimum effective processing capacity of the corresponding processing equipment, the residual oversize ratio, and the operational risk.

[0089] Q o The review trigger ratio is determined based on the allowable ratio of unclassified residues.

[0090] In some embodiments of this disclosure, gray zones are set on both sides of each threshold. When the index is in the gray zone, at least two parallel small samples are added for retesting. When the conclusions are inconsistent, the test enters the path to be reviewed.

[0091] In step S10, the corresponding batch is controlled to enter the determined processing path according to the sample batch identifier.

[0092] In some embodiments of this disclosure, diversion may be achieved using a material distribution gate, a flap valve, a reversible belt conveyor, a bypass conveyor, or a multi-outlet silo; materials awaiting verification enter a temporary storage silo or an isolation unit.

[0093] The embodiments of this disclosure obtain the apparent oversize ratios P0 and P1 before and after disturbance through two low-disturbance sieving processes after calibration. Low-energy disturbance is used to distinguish easily deagglomerated mud clumps from other residues. Quality recovery verification eliminates false changes caused by adhesion or spillage. Complete classification and classification quality balance verification determine the components of the residues. The two-level identification of apparent oversize materials of different causes matches the appropriate processing path, so that the corresponding batches can enter the correct path through diversion.

[0094] This embodiment, based on the above, further includes a pilot flow verification step. For example... Figure 1 As shown, step S11 may be included after step S10.

[0095] In step S11, after determining the processing path, the preset proportion of materials in the corresponding batch is first sent into the path as a pilot material flow, and at least one of the following is detected: residual oversize ratio, impurity ratio, processing volume per unit time, and equipment blockage or entanglement status.

[0096] In some embodiments of this disclosure, the equipment blockage or entanglement includes at least one of the following: wet, sticky material adhering to and blocking the screen surface, conveying channel, or processing component; film, fabric, or fibrous debris entangled on moving parts.

[0097] In some embodiments of this disclosure, the proportion of the pilot flow can be determined based on the total batch size, the minimum stable feed rate of the processing equipment, and the number of re-inspection samples. Preset scale-up conditions can be determined based on at least one of the following: an upper limit for the residual oversize ratio, an upper limit for the impurity ratio, a lower limit for the processing capacity per unit time, and the absence of continuous blockage or entanglement in the equipment.

[0098] In some embodiments of this disclosure, when the re-inspection results meet the preset amplification conditions, the remaining materials in the batch are sent to the same path; if they do not meet the conditions, the processing parameters are adjusted, the processing path is changed, the pilot material flow is returned, or the batch is transferred to the path to be reviewed and re-inspected.

[0099] In some embodiments of this disclosure, each path selection and parameter adjustment can record the sample number, batch number, material source, moisture content range, target particle size, sieving conditions, disturbance conditions, discrimination results, pilot re-inspection results, and final processing path.

[0100] The method of this disclosure will be described below through specific numerical examples.

[0101] Example 1: A batch of engineering waste soil with high water content, strong viscosity and apparent oversize was used as the object.

[0102] The main material flow adopts a batch delivery method, with each batch of construction waste entering an independent buffer silo.

[0103] The automatic sampling mechanism collects multiple incremental samples at different time points from the main material flow entering the No. 3 buffer silo and mixes them to form a wet engineering waste soil sample. The controller generates a number S03 for the sample and associates it with the material batch B03 in the No. 3 buffer silo.

[0104] Before the detection and judgment are completed, the discharge gate of the No. 3 buffer silo remains closed.

[0105] Initial total mass M = 5.00 kg, target particle size d = 20 mm. Screening time 30 s, low-energy disturbance using flexible blades at 60 r / s. min The disturbance time was 90 seconds. The first sieve yielded M0 = 1.50 kg and P0 = 0.30 kg. The second sieve yielded M1 = 0.30 kg and P1 = 0.06 kg. The total recovered mass M... r =4.96kg, η=0.992, preset δ=0.02, satisfying |1-η|≤δ, the mass recovery is qualified. Residue classification: M i =0.015kg, M h =0.030kg, M b =0.210kg, M o =0.045kg, D c =|0.30-(0.015+0.030+0.210+0.045)| / 0.30=0, satisfying δ c =0.02, the classification quality balance is qualified.

[0106] Composition ratio: Q s =0.05, Q t =0.003, Q h =0.10, Q b =0.70, Q o =0.15, P n =0.057.

[0107] In this embodiment, the weighing device can reliably identify the minimum overdiameter mass M. min =0.05kg, P min =M min / M=0.01; u is obtained based on the weighing error, repeat sieving deviation, mass recovery deviation, and equivalent device error. P =0.008; Take ε = max(P) min ,u P )=0.01, R=(0.30-0.06) / (0.30+0.01)=0.24 / 0.31≈0.77.

[0108] Set the response threshold R1=0.50 and the residual overshoot threshold P.L =0.10、Q s The debris handling trigger ratio is 0.10, Q. t The threshold is 0.01.

[0109] First-level discrimination: Q t =0.003, Q not reached t Threshold 0.01, Q s =0.05 The impurity treatment trigger ratio of 0.10 has not been reached, and no film, fabric or fibrous impurities that reach the additional indicator threshold are recorded, so impurity removal is not triggered; P1 = 0.06, not exceeding P L =0.10; P0=0.30≥P min R=0.77≥ R1 =0.50, output the de-aggregation path.

[0110] Based on the correspondence between sample S03 and batch B03, the controller opens the discharge gate of buffer silo No. 3, allowing the batch of material to enter the depolymerization path.

[0111] Example 2: M = 5.00 kg, d = 20 mm. M0 = 1.40 kg, P0 = 0.28; M1 = 1.20 kg, P1 = 0.24; M r =4.98kg, η=0.996, quality recovery qualified.

[0112] Taking ε=0.01, R=(0.28-0.24) / (0.28+0.01)=0.04 / 0.29≈0.14.

[0113] The 1.20 kg of residual material on the sieve was manually sorted, surface dirt was cleaned, and material composition was confirmed. The resulting composition is as follows: 1.05 kg of hard particles, 0.08 kg of cemented soil lumps, 0.03 kg of miscellaneous materials, and 0.04 kg of other unsorted residues. c =0, the classification quality balance is qualified.

[0114] Q h =1.05 / 1.20=0.875, Q b ≈0.067, Q s =0.025, Q o ≈0.033.

[0115] First-level discrimination: Q t =0.03 / 5.00=0.006 Q not reached. t Threshold, Q s =0.025, not reaching the impurity processing trigger ratio, therefore impurity removal is not triggered; P1=0.24 exceeds P L=0.10, proceed to the second-level component discrimination.

[0116] Second-level discrimination: Set the hard particle processing trigger ratio to 0.20, Q h =0.875 meets the trigger condition, Q b =0.067, which did not reach the trigger ratio of 0.20 for cemented soil block treatment. o =0.033, the verification trigger ratio of 0.15 was not reached. Only hard particles reached the processing trigger ratio, and the crushing path was output.

[0117] Example 3: M = 5.00 kg, d = 20 mm. M0 = 1.00 kg, P0 = 0.20; M1 = 0.70 kg, P1 = 0.14; M r =4.97kg, η=0.994, quality recovery qualified. Residue: 0.45kg of miscellaneous materials, 0.12kg of hard particles, 0.08kg of cemented soil lumps, 0.05kg of other unsorted residues, D c =0, the classification quality balance is qualified.

[0118] Q s =0.45 / 0.70≈0.643, Q t =0.45 / 5.00=0.09, P n =(0.70-0.45) / 5.00=0.05.

[0119] Set P L =0.10、Q s The debris handling trigger ratio is 0.10, Q. t The threshold is 0.02.

[0120] First-level discrimination: Q s =0.643 reaches the debris handling trigger ratio of 0.10 and Q t =0.09 exceeds the threshold of 0.02, triggering noise removal. P n =0.05≤P L =0.10, trigger ratio for hard particle treatment 0.20, trigger ratio for cemented soil block treatment 0.20, Q h =0.12 / 0.70≈0.171 not reached, Q b =0.08 / 0.70≈0.114 not reached, Q o =0.05 / 0.70≈0.071 The review trigger ratio of 0.15 has not been reached. Output the noise removal path.

[0121] Example 4: M = 5.00 kg. M0 = 1.60 kg, P0 = 0.32; M1 = 0.90 kg, P1 = 0.18; M r=4.95kg, η=0.99, quality recovery qualified. Residue: 0.38kg hard particles, 0.25kg cemented soil lumps, 0.20kg miscellaneous materials, 0.07kg other unsorted residues, D c =0, the classification quality balance is qualified.

[0122] Q h ≈0.422, Q b ≈0.278, Q s ≈0.222, Q o ≈0.078. The trigger ratio for hard particle treatment is set to 0.20, the trigger ratio for cemented soil block treatment is set to 0.20, and Q... s The clutter handling trigger ratio is 0.10. Q s =0.222 reached the impurity processing trigger ratio, triggering impurity removal; P n =(0.90-0.20) / 5.00=0.14 exceeds P L =0.10, proceed to level two. Q h =0.422 reaches the hard particle treatment trigger ratio, Q b =0.278 reached the trigger ratio for cemented soil block treatment, Q o =0.078, not reaching the verification trigger ratio. Impurity removal, enhanced depolymerization, and crushing are all included in the processing steps, and the combined processing path is output in the order of impurity removal, enhanced depolymerization, and crushing.

[0123] Example 5: M=5.00kg. M0=1.10kg, P0=0.22; after low-energy disturbance, all passed through the target sieve, M1=0, P1=0, η=0.992, quality recovery qualified. M1=0, D c Q s Q h Q b and Q o Mark as not applicable, Q t =0, P n =0. Taking ε = 0.01, R = 0.22 / (0.22 + 0.01) = 0.22 / 0.23 ≈ 0.957. P0 = 0.22 ≥ P min R=0.957≥ R1 =0.50, and no films, fabrics or fibrous debris reaching the threshold are recorded, output the depolymerization path.

[0124] Comparative Example 1: During the first sieving of the same sample, the mud clumps on the sieve were kneaded and squeezed to increase the sieving speed, causing some mud clumps to pass through the sieve holes before obtaining P0. The resulting P0 was lower, and P0-P1 decreased, which may have misjudged the actual easily deagglomerated mud clumps as low-response residues.

[0125] Comparative Example 2: High-speed stirring, strong vibration, or rigid blade impact between the two screenings can deagglomerate the mud clumps, but it can also break some bricks, stones, or concrete. In this case, the decrease in P1 comes from both the deagglomeration of mud clumps and the accidental breakage of hard particles, resulting in a higher R.

[0126] Comparative Example 3: During the detection and transfer process, the adhering material on the screen surface, container, and agitator blades is not recovered, and spillage loss is not recorded, which may cause M1 to decrease due to material loss. If R is still calculated directly, material loss may be mistakenly identified as deagglomeration.

[0127] Comparative Example 4: Pre-drying or adding water to the sample after the first sieving will change the shrinkage, cracking, hardening and sieving passability of the mud. P0-P1 can no longer be attributed solely to low-energy mechanical disturbance.

[0128] Comparative Example 5: For small samples with low R and high P1, the residues are directly fed into the crushing equipment without sorting them. If the residues are actually mainly cemented soil blocks, wood chips, plastics or fabrics, it may cause ineffective crushing, equipment blockage or entanglement, and the debris may be crushed into smaller fragments that are more difficult to separate.

[0129] Comparative Example 6: After obtaining a small sample on a continuous conveyor line, if the small sample is not kept in line with the main material flow through buffering, temporary storage, marking, or delayed tracking, the sampled material may have already passed the diversion position when the judgment is completed, and the judgment result will be applied to the wrong material.

[0130] Comparative Example 7: When classifying the residue obtained from the second sieve separation, if surface adhering substances are not recovered, some residues are missed, or the same residue is repeatedly counted in different categories, M i M h M b and M o The sum would then be significantly different from M1. If Q is still calculated based on this... s Q h Q b and Q o It is possible that the impurity removal, enhanced depolymerization, and fragmentation steps are erroneously triggered or omitted.

[0131] The embodiments disclosed above use four types of calibration samples to coordinate and constrain screening and disturbance conditions. Using the same initial mass as a benchmark, they combine quality recovery verification and classification quality balance verification to ensure data reliability. Through two-level discrimination and pilot material flow verification, they match the appropriate processing path for apparent oversized materials of different causes and apply the correct material in batches. This reduces the risk of wet and sticky materials clogging the equipment, flexible debris entanglement in the equipment, insufficient treatment of hard particles, and debris continuing to mix into the product after being crushed. It improves the accuracy of front-end diversion and disposal of engineering waste and the stability of production line operation.

[0132] The controller disclosed herein may include a sampling association module, a screening control module, a disturbance control module, a quality recovery verification module, a classification verification module, a discrimination module, and a diversion control module.

[0133] The sampling association module is configured to obtain the initial total mass M and sample batch identifier of the wet engineering waste soil sample obtained from the corresponding batch of the main material flow to be diverted, determine the target particle size threshold d, and maintain the matching relationship between the sample and the corresponding batch.

[0134] In some embodiments of this disclosure, the sampling association module is configured to receive the sample number, sampling time, material source, main conveyor line number, and batch number, and associate them as a sample batch identifier. The sampling association module is also configured to control the batch holding component to hold the corresponding batch or control the batch tracking unit to track the corresponding main material flow segment.

[0135] The sieving control module is configured to control the first and second sieving under low-disturbance conditions calibrated by particle size standard samples and agglomeration retention samples, to obtain the amount of material on the sieve M0 and the amount of residual material on the sieve M1, and to calculate P0=M0 / M and P1=M1 / M.

[0136] In some embodiments of this disclosure, the screening control module is configured to store calibrated low-disturbance condition parameters, control the screening apparatus to operate under these parameters, and receive weighing signals. The screening control module is also configured to determine whether the two screening apparatuses meet the T... p T r and A g All are within the preset equivalent range of equivalence conditions.

[0137] The perturbation control module is configured to control the application of low-energy perturbations to the same re-merged sample under conditions calibrated with the depolymerized reference sample and the hard particle sample.

[0138] In some embodiments of this disclosure, the disturbance control module is configured to store calibrated low-energy disturbance parameters, including disturbance mode, disturbance time, rotational speed or vibration acceleration, control the low-energy disturbance component to operate under these parameters, and monitor whether the loading quality and device filling rate are within a preset range.

[0139] The quality recycling verification module is configured to obtain the total recycled mass M. r Calculate the mass recovery rate η=M r / M, and determine whether |1-η| is not greater than the preset quality deviation limit δ.

[0140] In some embodiments of this disclosure, the quality recovery verification module is also configured to output instructions for equipment cleaning, replenishment of recovery, or reweighing when |1-η| is greater than δ, and to output instructions for re-performing a second screening or taking parallel samples from the same batch when the requirements are still not met.

[0141] The classification and verification module is configured to obtain the mass M of the debris when M1>0. i Hard particle mass M h Mass M of cemented soil block b Other unclassified residues mass M o Calculate the classification quality deviation rate D c =|M1-(M i +M h +M b +M o )| / M1, and determine D c Is it not greater than the preset classification quality deviation limit δ? c .

[0142] In some embodiments of this disclosure, the classification verification module is also configured to calculate Q. s =M i / M1、Q h =M h / M1、Q b =M b / M1、Q o =M o / M1、Q t =M i / M and P n =(M1-M i ) / M, and receive information on the quantity, unfolded area, maximum length, or entanglement status of films, fabrics, or fibrous debris.

[0143] The discrimination module is configured to calculate the disaggregation response exponent R = (P0 - P1) / (P0 + ε), where ε = max(P0 + ε). min ,u P ), P min To minimize the effective apparent over-diameter ratio, u P The combined detection uncertainty of P0 and P1; the discrimination module is configured to operate only when |1-η| is not greater than the preset quality deviation limit δ, and M1=0 or the classification quality deviation rate D c Not greater than the preset classification quality deviation limit δ c Formal discrimination is then carried out, and a two-level discrimination is conducted based on P0, P1, R, impurity index and residual composition ratio to determine the treatment path.

[0144] In some embodiments of this disclosure, the discrimination module is also configured to, when P0 <P minWhen R is not used alone for cause determination, if P1≥P0 and the result remains the same after retesting, the path to be verified is output; the determination module is further configured to output an instruction to add parallel sample retesting when the index is in the gray area.

[0145] The diversion control module is configured to send diversion instructions to the diversion actuator based on the sample batch identifier, thereby controlling the corresponding batch to enter the determined processing path.

[0146] In some embodiments of this disclosure, the diversion control module is also configured to, during the pilot material flow verification process, first control the release of a preset proportion of the corresponding batch of material into the processing path, receive a re-inspection signal, release the remaining material when the re-inspection is qualified, and output instructions to adjust processing parameters, change the processing path, return or transfer to the path to be reviewed when the re-inspection is unqualified.

[0147] The controller provided in the above embodiments of this disclosure achieves a complete control process from sampling correlation, calibration sieving, low-energy disturbance, quality recovery verification, residue classification verification to two-level discrimination and batch diversion through the coordinated cooperation of various modules, so that apparent oversized materials of different causes enter the processing path that is suitable for their properties.

[0148] The controller disclosed herein includes a memory and a processor.

[0149] The memory is used to store instructions. The processor is coupled to the memory and is configured to execute the control and data processing steps performed by the controller in the above-described method for identifying and diverting engineering waste with apparent oversize based on the instructions stored in the memory.

[0150] In some embodiments of this disclosure, the controller further includes a communication interface, which is communicatively connected to the sampling association component, the batch correspondence component, the low-disturbance screening component, the low-energy disturbance component, the mass recovery component, the residue sorting component, and the diversion actuator, respectively, for receiving weighing signals, residue classification signals, batch correspondence signals, and re-inspection signals, as well as sending screening control commands, disturbance control commands, and diversion commands.

[0151] In some embodiments of this disclosure, the memory, processor, and communication interface are connected via a bus. The memory may include high-speed random access memory or non-volatile memory.

[0152] Furthermore, the processor may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present disclosure.

[0153] Figure 3 This is a schematic diagram of the system for identifying and diverting the apparent oversize of construction waste in this project. Figure 3As shown, the system disclosed herein may include a main material flow conveying component 1, a sampling association component 2, a batch correspondence component, a low-disturbance screening component 5, a recycling and merging component 6, a low-energy disturbance component 7, a calibration component, a mass recovery component 8, a residue sorting component 9, a controller 12, and a diversion actuator 13.

[0154] The main material flow conveying assembly 1 is used to convey the engineering waste soil to be diverted.

[0155] The sampling association component 2 is used to obtain wet engineering waste soil samples from the corresponding batch of the main material flow, obtain the initial total mass M of the samples, and establish the association between the samples and the corresponding batches.

[0156] In some embodiments of this disclosure, the batch correspondence component includes a batch holding component 3 and / or a batch tracking unit 4. The batch holding component 3 is a batch hopper, buffer hopper, stopable conveyor section, or temporary storage unit, used to store the corresponding batch before the discrimination is completed so that it can be released and diverted independently. The batch tracking unit 4 determines the corresponding main material flow section based on at least two of the following: the conveying distance from the sampling position to the diversion position, the conveying speed, the conveyor belt load, and the batch boundary sensing signal.

[0157] The low-disturbance sieving assembly 5 is used to perform a first and second sieving of the same sample under low-disturbance conditions to obtain the amount of material on the sieve before disturbance M0 and the amount of residual material on the sieve after disturbance M1. The low-disturbance sieving assembly 5 can be a single sieving device, or two sieving devices calibrated to be equivalent in terms of passing capacity, retention capacity, and agglomeration retention capacity by a particle size standard sample and an agglomeration retention sample.

[0158] The recycling and merging component 6 is used to recover the oversize, undersize, and adhering materials obtained from the first screening and re-merge them into the same sample.

[0159] The low-energy perturbation component 7 is positioned between two sieving processes to apply low-energy perturbations to the same sample after re-merging.

[0160] In some embodiments of this disclosure, the calibration assembly includes a calibration station 10 for particle size standard samples and agglomeration retention samples, and a calibration station 11 for deagglomeration reference samples and hard particle samples. The calibration station 10 for particle size standard samples and agglomeration retention samples is used to calibrate low-disturbance sieving conditions to obtain the passing rate T. p Retention rate T r and integrity retention rate A g The depolymerization reference sample and hard particle sample calibration station 11 are used to calibrate low-energy perturbation parameters and obtain the depolymerization response R. r The proportion of fine particles (B) and the retention rate of intact particles (I) were added.

[0161] The quality recovery component 8 is used to recover the oversize, undersize and adhering materials obtained from the second screening and to perform quality recovery verification.

[0162] The residue sorting component 9 is used to separate the residue oversize obtained from the second screening into impurities, hard particles, cemented soil lumps and other unclassified residues, and to obtain the composition information of each type of residue.

[0163] The controller 12 is communicatively connected to the sampling association component 2, the batch correspondence component, the low-disturbance screening component 5, the low-energy disturbance component 7, the mass recovery component 8, the residue sorting component 9, and the diversion actuator 13. The controller 12 receives weighing, residue classification, batch correspondence, and re-inspection signals, and calculates P0, P1, η, R, and D. c P n Based on the proportions of each component, determine the processing path. Only when |1-η|≤δ, and M1=0 or D... c ≤δ c Only then does controller 12 enter the formal path determination. When M1 > 0 and D... c >δ c During this period, controller 12 does not use the classification results, but instead outputs instructions for supplementary recovery, reclassification, reweighing, or transfer to the pending verification path. During formal path determination, controller 12 determines whether to include the item in the impurity removal process based on the impurity index, according to P1 or P... n To determine whether the residual over-path exceeds the threshold, based on Q... b and Q h Determine whether to include intensified depolymerization and fragmentation, and address situations where composition cannot be reliably determined, Q o If the results are too high, the parallel sample conclusions are inconsistent, or the residual oversize is high but there is no clear dominant component, output the path to be verified; when multiple steps are triggered at the same time, they are executed in the order of impurity removal, enhanced depolymerization, and fragmentation.

[0164] The diversion actuator 13 is connected to the conveying path 14 of the corresponding processing unit and is used to import the batch corresponding to the sample into the determined processing path according to the diversion command output by the controller 12.

[0165] In some embodiments of this disclosure, the system further includes a verification unit, a pilot flow bypass 15, and a re-inspection and recirculation component 16. The verification unit is a temporary storage bin or isolation unit used to receive materials to be verified. The pilot flow bypass 15 is used to first import a preset proportion of materials of the corresponding batch into the processing path for verification. The re-inspection and recirculation component 16 is used to detect at least one of the following after the pilot flow is processed: residual oversize ratio, impurity ratio, processing volume per unit time, and equipment blockage or entanglement status, and to recirculate the pilot flow if the re-inspection fails. The controller 12 releases the remaining materials of the same batch, adjusts processing parameters, changes the processing path, recirculates the pilot flow, or transfers the batch to the verification path based on the re-inspection results.

[0166] In some embodiments of this disclosure, the system structure is organized into three functional zones: the main material flow conveying and diversion zone includes a main material flow conveying component 1, a batch holding component 3, a diversion actuator 13, a processing path 14, a pilot material flow bypass 15, and a re-inspection and recirculation component 16; the control and information zone includes a particle size standard sample and agglomeration holding sample calibration station 10, a controller 12, a deagglomeration reference sample and hard particle sample calibration station 11, and a batch tracking unit 4; the small sample detection and diversion discrimination zone includes a sampling association component 2, a low-disturbance screening component 5, a recycling and merging component 6, a low-energy disturbance component 7, a mass recovery component 8, and a residue sorting component 9.

[0167] The system provided in the above embodiments of this disclosure forms a closed loop through the cooperation of various components and the coordinated control of the controller, which includes sampling, screening, calibration, total mass verification, residue classification and its quality balance verification, path selection, batch diversion and feedback verification. This is beneficial to improving the accuracy of front-end diversion and disposal of engineering waste and the stability of production line operation.

[0168] According to another aspect of this disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions that, when executed by a processor, implement the control and data processing steps performed by a controller in the engineering waste apparent oversize cause identification and diversion disposal method as described in any of the above embodiments.

[0169] In some embodiments of this disclosure, the computer-readable storage medium may be a non-transitory computer-readable storage medium.

[0170] The embodiments disclosed above have the following technical effects: By calibrating low-disturbance sieving conditions using particle size standard samples and agglomeration retention samples, the disturbance intensity of the first sieving is limited, preventing the wet mud clumps from being prematurely dispersed before obtaining the initial apparent oversize ratio, thus reducing P0 distortion; by calibrating low-energy disturbance parameters using deagglomeration reference samples and hard particle samples, the deagglomeration capacity of mud clumps and the control of false breakage of hard particles are considered, avoiding R being too high or too low; by calculating P0 and P1 based on the same initial mass and performing mass recovery verification, false changes caused by adhesion, residue, or spillage are eliminated; by performing a complete and non-repeating four-class classification of the remaining sieve material and verifying the classification mass balance, misjudging impurities, cemented soil clumps, and hard particles based solely on R and P1 is avoided; by simultaneously considering the mass ratio of impurities and... The morphological indicators of films, fabrics, or fibrous impurities reduce the chances of lightweight impurities being overlooked due to their low mass percentage; two-level discrimination is used to match appropriate treatment paths for apparent oversized materials of different origins, and impurity removal is prioritized over crushing in combined treatment paths to reduce the breaking of impurities into smaller, more difficult-to-separate fragments; batch retention or batch tracking ensures that the discrimination conclusions apply to the same batch of samples; pilot flow verification reduces the risk of path selection errors spreading to the entire batch; moisture content maintenance constraints ensure that changes in P0-P1 are attributable to low-energy mechanical disturbances; sampling, screening, calibration, quality inspection, classification inspection, path selection, batch diversion, and feedback verification form a complete closed loop, improving the accuracy of front-end diversion and disposal of engineering waste and the stability of production line operation.

[0171] Those skilled in the art will understand that the data processing and control functions performed by the controller in the embodiments of this disclosure can be provided as a method, apparatus, or computer program product. Therefore, the data processing and control functions may take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects, and may take the form of a computer program product implemented on one or more computer-usable non-transitory storage media containing computer-usable program code; the physical steps such as sampling, sieving, low-energy perturbation, recovery, sorting, and diversion in the methods of this disclosure are performed by corresponding components under the control of the controller.

[0172] The description in this disclosure is provided for illustrative and descriptive purposes only and is not intended to be exhaustive or to limit the disclosure to its forms. Many modifications and variations will be apparent to those skilled in the art. The embodiments were chosen and described in order to better illustrate the principles and practical application of this disclosure and to enable those skilled in the art to understand this disclosure and to design various embodiments with various modifications suitable for a particular purpose.

Claims

1. A method for identifying the causes of apparent oversize of construction waste and for its diversion and disposal, characterized in that, include: Take a wet sample from the corresponding batch of the main material stream to be diverted, record the sample batch identifier, determine the target particle size threshold according to the product particle size requirements or the feed particle size allowed by the subsequent equipment, weigh its initial total mass, and ensure that the sample is compatible with the corresponding batch and that the batch can be diverted separately before the discrimination is completed. The small sample was first sieved under low disturbance conditions after calibration with particle size standard sample and agglomeration retention sample. The amount of material on the sieve was weighed and the apparent oversize ratio was calculated. The material, undersize material, and adhering material from the first screening are recovered and combined back into a single small sample. During the recovery process, the wet aggregates on the sieve are not rubbed, crushed, knocked, or strongly scraped. A low-energy perturbation, calibrated by the depolymerization reference sample and the hard particle sample, is applied to the same merged sample. Under the same or calibrated equivalent conditions as the first sieve, the same sample after disturbance is sieved a second time. The proportion of residual oversize after disturbance is determined based on the residual oversize mass and the initial total mass, wherein the adhering material that can be determined to originate from the residual oversize mass is included in the residual oversize mass. The oversize, undersize, and adhering materials from the second screening are recovered, and the total recovered mass is obtained by weighing. The quality recovery is checked based on the consistency between the total recovered mass and the initial total mass M. Formal judgment is only made if the quality recovery check passes. When there is residual material on the sieve during the second screening, all residual material on the sieve is divided into debris, hard particles, cemented soil lumps and other unclassified residues without repetition, and weighed separately. The classification quality balance is checked based on the consistency between the sum of the masses of each part obtained from the classification and the mass of the residual material on the sieve. The classification weighing results are only used for formal path determination when the classification quality balance check is passed. The depolymerization response index is determined based on the apparent oversize ratio before perturbation and the residual oversize ratio after perturbation. The treatment path is determined by two levels of discrimination based on the apparent oversize ratio before disturbance and the residual oversize ratio after disturbance, the depolymerization response index, the impurity index and the composition ratio of the residue. The corresponding batch is controlled to enter the determined processing path based on the sample batch identifier.

2. The method according to claim 1, characterized in that, The apparent oversize ratio before disturbance is P0 = M0 / M, and the residual oversize ratio is P1 = M1 / M, where M0 is the amount of material remaining on the screen after the first screening, and M1 is the amount of material remaining on the screen; the quality recovery verification includes: calculating the quality recovery rate η = M r / M, where Mr is the total recovered mass, and the quality recovery verification is deemed passed only when |1-η| is not greater than the preset quality deviation limit δ; the classification quality balance verification includes: calculating the classification quality deviation rate Dc=|M1-(M i +M h +M b +M0)| / M1, where M i M h M b M0 and M0 are the masses of debris, hard particles, cemented soil lumps, and other unclassified residues, respectively, only in D c Not greater than the preset classification quality deviation limit δ c The classification quality balance check is deemed passed; the depolymerization response index R = (P0 - P1) / (P0 + ε), where ε = max(P0 + ε). min ,u P ), P min To minimize the effective apparent over-diameter ratio, u P Let P0 and P1 be the combined detection uncertainty; The sample batch identifier includes at least the sample number, sampling time, material source, main conveyor line number, and batch number; the sample is formed by mixing multiple incremental samples obtained from the same batch at different time points and / or different lateral positions; the matching relationship between the sample and the corresponding batch is maintained by storing the corresponding batch in a batch silo, buffer silo, stopable conveyor section, or temporary storage unit so that it can be independently released and diverted before the discrimination is completed, or by tracking the corresponding main material flow section based on at least two of the following: the conveying distance from the sampling position to the diversion position, the conveying speed, the conveyor belt load, and the batch boundary sensing signal.

3. The method according to claim 1, characterized in that, The particle size standard sample includes a group of small-sized standard particles with an initial particle size less than d and a group of large-sized standard particles with an initial particle size greater than d. The mass ratio of small-sized standard particles passing through the target sieve is denoted as the passing rate T. p The percentage of large-diameter standard particles retained by the target sieve openings is denoted as the retention rate T. r The aggregate retention sample is a wet aggregate with known soil type, moisture content, initial size, and sample preparation conditions. The mass or quantity proportion of aggregates that still meet the preset integrity criterion after sieving is recorded as the integrity retention rate A. g Only those that simultaneously satisfy T p T r and A g The low disturbance conditions are defined by at least one of the following parameters: sieve aperture size, sieving time, sieve surface amplitude, sieve surface frequency, number of manual turnings, and upper limit of unit mass detection energy. From the first sieving to the end of the second sieving, the moisture content of the sample is not changed by pre-drying, adding water to adjust humidity, or chemical conditioning.

4. The method according to claim 1, characterized in that, The low-energy disturbance employs at least one of the following: low-speed tumbling with flexible blades, low-speed tumbling with a drum, low-acceleration vibration loosening, or low-speed stirring. The disturbance intensity is limited by the disturbance time and at least one of the following: rotational speed, vibration frequency, vibration acceleration, or energy input per unit mass. The apparent oversize ratio of the depolymerization reference sample before and after the application of the candidate low-energy disturbance parameters is P. r0 and P r1 Depolymerization response R r =(P r0 -P r1 ) / (P r0 +ε r ), where ε r Based on the minimum effective apparent oversize ratio and detection uncertainty of the depolymerization reference sample, candidate parameters are determined such that R... r Reaching the preset lower limit R min The initial particle size limit of the hard particle sample is d. c After the disturbance, the newly added value is less than d. c The proportion of the particle mass to the total mass of the hard particle sample before disturbance is denoted as B=M. s / M c After disturbance, the particles remain intact and have a particle size not less than d. c The proportion of the number of particles to the number of intact particles before the disturbance is denoted as I = N1 / N0. The candidate parameters simultaneously satisfy R r ≥R min B does not exceed the preset upper limit B max And I is not lower than the preset lower limit I min The time was determined to be a usable low-energy perturbation parameter.

5. The method according to claim 1, characterized in that, The two-level discrimination includes a first-level preliminary discrimination and a second-level component discrimination; In the first stage, when the proportion of residual impurities on the sieve to the initial sample is Q t When the corresponding threshold is reached, or when M1>0, the proportion Q of impurities to the remaining material on the screen is... s The impurity removal process is triggered when the impurity treatment trigger ratio is reached, or when at least one of the following criteria for the quantity, unfolded area, maximum length, or entanglement state of film / fabric / fibrous impurities reaches the corresponding threshold: the residual oversize ratio P after deducting the identified impurities is determined. n The residual oversize threshold and the proportion of hard particles Q h The proportion of cemented soil blocks Q b None of them reached their respective processing trigger ratios, and the proportion of other unclassified residues was Q. o If the review trigger ratio is not reached, output the cleanup path; otherwise, proceed to the second level. If no impurity removal is triggered and P1 exceeds the residual overshoot threshold, proceed to the second stage; if no impurity removal is triggered, P1 does not exceed the residual overshoot threshold, and P0... <P min At that time, output the normal main line processing path; No impurity removal was triggered, P1 does not exceed the residual over-diameter threshold, and P0 ≥ P min If R is not lower than the response threshold, the de-aggregation path is output; if R is lower than the response threshold, the regular mainline processing path is output. In the second level, when the components cannot be reliably determined, Q o When the review trigger ratio is reached or the parallel sample conclusions are inconsistent, the path to be reviewed is output; the first level has already triggered impurity removal and P n Exceeding the residual over-diameter threshold, but Q h and Q b If none of the processing trigger ratios are reached, the path to be reviewed is output; if the first stage does not trigger impurity removal and P1 exceeds the residual overpath threshold, but Q... h and Q b If none of the above-mentioned processing trigger ratios are reached, output the path to be reviewed; if it does not fall under the aforementioned review-required situation, and the first-level cleanup has already been triggered, then cleanup will be listed as a processing step; Q b If the trigger ratio is reached, enhanced de-aggregation will be listed as a processing step; Q h If the processing trigger ratio is reached, crushing will be listed as a processing step; if only one processing step is listed, a single path will be output; if at least two processing steps are listed, a combined processing path will be generated in the order of impurity removal, enhanced deagglomeration, and crushing.

6. The method according to claim 1, characterized in that, After determining the processing path, the material of the corresponding batch with a preset proportion is first sent into the path as a pilot flow, and at least one of the following is detected: residual oversize ratio, impurity ratio, processing volume per unit time, and equipment blockage or entanglement status. If the retest results meet the preset amplification conditions, the remaining material of the batch is sent into the same path; if not, the processing parameters are adjusted, the processing path is changed, the pilot flow is returned, or the batch is transferred to the path to be reviewed.

7. A controller for identifying and diverting engineering waste with apparent oversize, characterized in that, include: The sampling association module is configured to obtain the initial total mass and sample batch identifier of the wet engineering waste soil sample obtained from the corresponding batch of the main material flow to be diverted, determine the target particle size threshold, and maintain the matching relationship between the sample and the corresponding batch. The sieving control module is configured to control the execution of the first sieving and the second sieving under low disturbance conditions calibrated by particle size standard sample and agglomeration retention sample, to obtain the oversize mass of the first sieving and the residual oversize mass of the second sieving, to determine the apparent oversize ratio before disturbance based on the oversize mass of the first sieving and the initial total mass, and to determine the residual oversize ratio after disturbance based on the residual oversize mass and the initial total mass. The perturbation control module is configured to control the application of low-energy perturbations to the same re-merged sample under conditions calibrated with the depolymerized reference sample and the hard particle sample; The quality recovery verification module is configured to obtain the total recovered mass and perform quality recovery verification based on the degree of consistency between the total recovered mass and the initial total mass. The classification and verification module is configured to obtain the mass of impurities, hard particles, cemented soil blocks and other unclassified residues when residual sieve material is present, and to perform a classification quality balance verification based on the consistency between the sum of the masses of each part obtained from classification and the mass of residual sieve material. The discrimination module is configured to determine a depolymerization response index based on the apparent oversize ratio before perturbation and the residual oversize ratio after perturbation. The depolymerization response index characterizes the degree of reduction in the apparent oversize ratio under the low-energy perturbation. The discrimination module is configured to perform formal discrimination only when the quality recovery verification is passed and there is no residual oversize or the classification quality balance verification is passed. The processing path is determined by two-level discrimination based on the apparent oversize ratio before perturbation and the residual oversize ratio after perturbation, the depolymerization response index, the impurity index, and the composition ratio of the residue. The diversion control module is configured to send a diversion command to the diversion execution mechanism based on the sample batch identifier, and control the corresponding batch to enter the determined processing path.

8. A controller for identifying and diverting engineering waste with apparent oversize, characterized in that, include: Memory, used to store instructions; A processor is configured to execute the instructions, causing the controller to perform the control and data processing steps performed by the controller in the method for determining and diverting engineering waste apparent oversize as described in any one of claims 1 to 6.

9. A system for identifying and diverting engineering waste with apparent oversize, characterized in that, include: Main material flow conveying assembly, used to convey construction waste to be diverted; The sampling association component is used to obtain wet engineering waste soil samples from the corresponding batches of the main material flow and establish the association between the samples and the corresponding batches. Batch-matching components, including batch holding components and / or batch tracking units, are used to ensure that the sample is matched with the corresponding batch and that the corresponding batch can be individually diverted before the discrimination is completed; A low-disturbance sieving assembly for performing a first and second sieving of the same sample under low-disturbance conditions; The recycling and merging component is used to recover the oversize, undersize, and adhering material obtained from the first screening and re-merge them into the same sample. A low-energy perturbation component, positioned between two sieving processes, is used to apply a low-energy perturbation to the same sample after re-merging. The calibration components include calibration stations for particle size standard samples and agglomeration retention samples for calibrating low-disturbance sieving conditions, and calibration stations for deagglomeration reference samples and hard particle samples for calibrating low-energy disturbance parameters. The quality recovery component is used to recover the oversize, undersize, and adhering materials obtained from the second screening and to perform quality recovery verification. The residue sorting assembly is used to separate the residue oversize obtained from the second screening into impurities, hard particles, cemented soil lumps and other unsorted residues; The controller as described in claim 7 or 8; The diversion execution mechanism is used to import the batch corresponding to the sample into the determined processing path according to the diversion instruction output by the controller.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the control and data processing steps performed by the controller in the method for determining and diverting engineering waste apparent oversize as described in any one of claims 1 to 6.

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