Quantum simulation-based analysis method and system for carbon emission of recycled asphalt pavement

Abstract

The application discloses a recycled asphalt pavement carbon emission analysis method and system based on quantum simulation, and relates to the technical field of road engineering and carbon emission quantification analysis, and comprises the following steps: establishing a quantum simulation energy feedback time sequence in a quantum simulation carbon emission analysis process, recording energy change information and extracting time distribution of energy fluctuation stages to generate an energy change record; point-by-point comparing energy fluctuations based on the energy change record to identify energy self-excitation enhancement regions, locking energy resonance cores and recording energy drift moments to generate an energy resonance anchor point list. The application realizes dynamic monitoring and phase stability control of energy transmission paths by constructing a quantum simulation energy feedback time sequence and rhythm intervention mechanism. Through energy resonance anchor point extraction, false lock loop identification and entropy release adjustment, energy accumulation and resonance instability are effectively prevented, the stability and precision of quantum simulation carbon emission analysis are improved, and high-reliability dynamic support is provided for recycled asphalt pavement carbon emission evaluation.

Description

Technical Field

[0001] This invention relates to the fields of road engineering and carbon emission quantitative analysis technology, specifically to a method and system for analyzing carbon emissions from recycled asphalt pavement based on quantum simulation. Background Technology

[0002] Carbon emission analysis of recycled asphalt pavement based on quantum simulation is an approach that, building upon traditional life-cycle energy consumption and emission quantification models, introduces quantum computing simulation and quantum simulation mechanisms to perform multi-dimensional, parallel, and probabilistic simulation and prediction of energy conversion and carbon emission processes at different stages of recycled asphalt pavement. Its core lies in utilizing the properties of quantum superposition and quantum entanglement to transform the energy consumption-emission-environment feedback system, originally described by deterministic equations, into a multi-path quantum evolution model through quantum computing simulation. This allows for the simultaneous calculation of energy exchange and carbon conversion paths in high-dimensional space during stages such as raw material production, transportation, construction, and recycling. By integrating quantum simulation and quantum computing simulation, the coupling relationship between energy consumption fluctuations and emissions under different recycling methods (such as plant-mixed hot recycling, on-site hot recycling, and cold recycling) can be extrapolated at ultra-high speed, revealing the formation mechanism of energy consumption peaks and the sensitive distribution of emission sources. This enables precise quantification and trend prediction of carbon emission characteristics throughout the entire life cycle. This method overcomes the limitations of traditional life-cycle analysis in terms of computational complexity and parameter uncertainty, providing higher precision and more dynamically adaptable theoretical support and decision-making basis for the quantitative evaluation of energy conservation and emission reduction in recycled asphalt pavement.

[0003] The existing technology has the following shortcomings: In existing quantum simulation carbon emission analysis techniques, emission feedback signals tend to form energy resonance loops within the quantum system. When multiple energy feedback paths superimpose at high-frequency iterations, the quantum states within the system undergo self-amplification, leading to a significant decrease in model stability. At this point, the phase-locking relationship of the qubits is broken, and the feedback signal accumulates cyclically within a very short time. The model calculation falls into an infinite oscillation state, and the energy output exhibits a nonlinear burst trend. Under this abnormal state, the carbon emission curve exhibits drastic jumps or even reverse fluctuations, making it difficult to reflect the true emission patterns. This can easily cause a significant deviation in the total life-cycle emissions, distorting the energy conservation and emission reduction evaluation results and affecting the reliability of subsequent parameter calibration and energy consumption prediction.

[0004] The information disclosed in the background section is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0005] The purpose of this invention is to provide a method and system for analyzing carbon emissions from recycled asphalt pavements based on quantum simulation, in order to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a method for analyzing carbon emissions from recycled asphalt pavement based on quantum simulation, comprising the following steps: In the process of quantum simulation carbon emission analysis, a time series of quantum simulation energy feedback is established to record energy change information and extract the time distribution of energy fluctuation stages to generate energy change records. Based on energy change records, energy fluctuations are compared point by point to identify energy self-excitation enhancement regions, lock the energy resonance core, and record energy drift moments to generate a list of energy resonance anchor points. Based on the list of energy resonance anchor points, trace the energy transfer path to analyze the energy loop offset and determine the abnormal trigger point and duration to form a time window for energy mislocking loop; Based on the energy mislock loop time window, the phase buffer sequence and energy unloading sequence are planned to determine the switching beat parameters and delay range parameters, and a rhythm intervention scheme is generated. According to the rhythm intervention scheme, real-time rhythm adjustment is performed within the time window of the energy mislocking loop to alternate between the inverse phase beat phase and the energy isolation phase. An entropy release pulse signal is introduced to continuously refresh the energy resonance anchor point list, thereby achieving stable control of the quantum simulation process and preventing the re-accumulation of energy resonance.

[0007] Preferably, the steps for generating energy change records are as follows: By continuously recording the energy input, energy output and energy transfer states generated during the quantum simulation in a time evolution sequence, the simulation process is divided into equally spaced time intervals, and the energy change amplitude, energy conversion rate and energy exchange direction of the quantum energy state are recorded to form an energy change record. After obtaining the energy change records, the energy change curves within the time intervals are analyzed segment by segment. The energy increasing segment, decreasing segment and equilibrium segment are distinguished and calibrated, and the time distribution of the energy fluctuation stage is extracted. The energy fluctuation time distribution structure is formed by statistically analyzing the start time, end time, and duration of each energy fluctuation phase, and the energy fluctuation phases are compared with energy change records to establish a time mapping relationship. By integrating the temporal distribution of energy fluctuations with energy change records to form a complete energy change record, the energy feedback of quantum simulation is trackable in both the time and energy domains, and provides a data foundation for energy resonance identification and loop mislocking analysis.

[0008] Preferably, when forming a complete energy change record, the energy feedback information is arranged in chronological order by maintaining the consistency of timestamps, and the time positions of the energy change direction, energy conversion start point and end point are recorded synchronously in the energy fluctuation time distribution structure. This ensures that the continuity and traceability of the quantum simulation energy feedback are maintained, thereby ensuring that the correspondence between the energy change record in the time dimension and the energy dimension is stable, and providing accurate temporal basis for the subsequent extraction of energy resonance anchor points.

[0009] Preferably, the steps for generating the energy resonance anchor point list are as follows: Based on continuous time series, the differences between adjacent energy data points in the quantum simulation energy change record are compared sequentially to record the energy change amplitude, energy conversion rate and energy direction to form an energy fluctuation distribution structure. Based on the analysis of the energy fluctuation distribution structure, the time intervals in which the energy increasing trend persists are analyzed, and candidate intervals for energy enhancement are extracted to identify regions of energy self-excitation enhancement. Track the energy change sequence within the energy self-excitation enhancement region and identify the energy peak point and energy inversion inflection point to lock the energy resonance core; Using the time information in the energy change records as an index, the energy change trend before and after the energy resonance core is tracked to record the energy drift moment and generate a list of energy resonance anchor points containing energy peaks, energy reversal inflection points and drift times.

[0010] Preferably, during the generation of the energy resonance anchor point list, the energy peak and the energy reverse inflection point are time-correlated and calibrated based on the time position of the energy resonance core, and the energy resonance anchor points are dynamically updated by continuously recording the energy drift direction and drift duration, so that the energy resonance anchor point list maintains time continuity and energy response consistency during the quantum simulation energy feedback process.

[0011] Preferably, the energy mislock loop time window formation process is as follows: Based on the energy resonance cores and drift times in the list of energy resonance anchor points, time sorting is performed to form a continuous energy transfer sequence, and the time interval between adjacent energy resonance anchor points is marked to determine the energy transfer direction and transfer delay; Analyze the direction of energy change and the energy transmission difference based on the energy transfer path to distinguish between the energy release section and the energy absorption section and identify the energy loop offset area; Time tracking is performed on the energy loop offset region to determine the start time, trigger location, and duration of the energy offset, and to identify abnormal trigger points; The start time, end time, and duration of the energy loop offset are summarized to form an energy mislock loop time window, which is then used for subsequent phase buffer sequence planning and energy unloading sequence design.

[0012] Preferably, the steps for generating the rhythm intervention plan are as follows: Based on the abnormal trigger points and duration of the energy mislock loop time window, an energy mislock loop time axis is constructed and divided into high-frequency and low-frequency segments to identify the intervention zone and the slow-release zone. Based on the energy superposition characteristics of energy feedback in each time interval, the phase buffering sequence is planned, and the energy response start time of adjacent time windows is delayed to form time stagger to achieve energy release sequence buffering. By combining the energy loop offset information in the energy mislock loop time window, the energy unloading sequence is planned, and the energy is released in stages by forming a time buffer between the set delay range parameters. Based on the phase buffer sequence and energy unloading sequence, the delay range parameters and switching beat parameters are matched to form a continuous switching beat chain and generate a rhythm intervention scheme with time coordination and energy balance.

[0013] Preferably, the phase buffering sequence and energy unloading sequence set in the rhythm intervention scheme are synchronized in time by dynamically matching the switching beat parameters and delay range parameters, so that the energy release phase and the energy buffering phase alternate on the time axis. A short beat zone is configured in the high frequency band to eliminate the energy accumulation trend, and a long beat zone is configured in the low frequency band to extend the energy buffering period, thereby keeping the quantum simulation energy feedback process in a continuous and stable rhythmic control state.

[0014] Preferably, the real-time rhythm adjustment steps performed within the energy mislock loop time window according to the rhythm intervention plan are as follows: Based on the switching beat parameters and delay range parameters in the rhythm intervention scheme, the energy mislock loop time window is divided into a beat control area and a buffer isolation area to form a reverse beat phase and an energy isolation phase. During the alternation between the reverse phase and the energy isolation phase, a smooth transition between energy release and energy isolation is maintained based on the time phase parameters and delay range parameters; At the midpoint of the energy isolation phase, an entropy release pulse signal is introduced to break up the coherent relationship of energy accumulation and refresh the list of energy resonance anchor points. Under the combined effect of entropy release pulse signals and rhythm intervention schemes, real-time stable control of quantum simulation energy feedback is achieved through continuous alternation of the inverse phase beat stage and the energy isolation stage to prevent the re-accumulation of energy resonance.

[0015] A quantum simulation-based carbon emission analysis system for recycled asphalt pavement includes an energy feedback time series construction module, an energy resonance identification module, an energy transfer tracing module, a rhythm intervention planning module, and a real-time rhythm control module. The energy feedback time series construction module establishes a time series of quantum simulation energy feedback during the quantum simulation carbon emission analysis process, records energy change information and extracts the time distribution of energy fluctuation stages to generate energy change records. The energy resonance identification module compares energy fluctuations point by point based on energy change records to identify energy self-excitation enhancement areas, locks the energy resonance core, and records energy drift moments to generate a list of energy resonance anchor points. The energy transfer tracing module traces the energy transfer path based on the energy resonance anchor point list to analyze the energy loop offset and determine the abnormal trigger point and duration to form an energy mislocking loop time window. The rhythm intervention planning module determines the switching beat parameters and delay range parameters and generates a rhythm intervention scheme based on the energy mislocking loop time window planning phase buffer sequence and energy unloading sequence; The real-time rhythm control module performs real-time rhythm adjustment within the energy mislock loop time window according to the rhythm intervention scheme to alternate between the reverse phase beat stage and the energy isolation stage. It introduces entropy release pulse signals to continuously refresh the energy resonance anchor point list, thereby achieving stable control of the quantum simulation process and preventing the re-accumulation of energy resonance.

[0016] The technical effects and advantages provided by the present invention in the above technical solution are as follows: This invention establishes a time series of energy feedback during quantum simulation and dynamically tracks energy fluctuations and extracts resonance anchor points based on energy change records, enabling continuous monitoring of energy feedback in the time dimension. By identifying energy transfer paths and time windows of mis-locked loops, real-time control of the energy coupling process of quantum energy states is achieved, effectively avoiding the abnormal accumulation of energy loops in quantum simulation. This method maintains a balanced state of energy changes during simulation, reduces computational fluctuations caused by self-amplification, and ensures the stability and reliability of quantum simulation carbon emission analysis results at the energy feedback level.

[0017] This invention constructs a rhythmic intervention scheme, performing periodic switching between inverse phase beats and energy isolation within the energy mislocking loop time window, and introduces entropy release pulse signals to dynamically refresh the energy resonance anchor point, achieving adaptive and stable control of the quantum simulation feedback system. Through rhythmic energy regulation, the energy distribution in time and space is made more balanced, suppressing the re-formation of energy resonance in quantum feedback, thereby maintaining the continuous coordination of the quantum state phase. This method improves the energy evolution accuracy of quantum simulation in carbon emission modeling, providing highly stable dynamic quantitative support for carbon emission assessment of recycled asphalt pavements. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0019] Figure 1 This is a flowchart of the method for analyzing carbon emissions from recycled asphalt pavement based on quantum simulation, as per the present invention.

[0020] Figure 2 This is a schematic diagram of the modules of the quantum simulation-based carbon emission analysis system for recycled asphalt pavement of this invention. Detailed Implementation

[0021] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, they are provided so that the description of this disclosure will be more complete and fully convey the concept of the exemplary embodiments to those skilled in the art.

[0022] This invention provides, for example Figure 1 The quantum simulation-based carbon emission analysis method for recycled asphalt pavement shown includes the following steps: In the process of quantum simulation carbon emission analysis, a time series of quantum simulation energy feedback is established to record energy change information and extract the time distribution of energy fluctuation stages to generate energy change records. In the execution of quantum simulation carbon emission analysis, to ensure that the quantum simulation energy feedback information can form a continuous and traceable energy evolution structure with time as the main axis, thereby providing basic data support for subsequent energy resonance identification and feedback stability control, the specific implementation steps for time-series processing of the quantum simulation energy feedback are as follows: For the energy feedback information flow in the quantum simulation environment, it is continuously recorded according to the temporal evolution sequence, mapping all energy inputs, energy outputs, and energy transfer states generated during the quantum simulation into continuous time segments. In this process, the entire simulation run is divided into equally spaced time intervals, and the energy change amplitude, energy conversion rate, and energy exchange direction corresponding to the quantum energy state are continuously recorded within each time interval. This method allows the quantum simulation energy feedback process to form a time-based energy change record, ensuring that each time segment accurately corresponds to the change in energy state, thereby guaranteeing that subsequent processing stages can track the energy evolution path with continuous temporal logic. The recorded data includes quantum state energy increases and decreases, energy distribution changes corresponding to quantum superposition states, and spatial migration behavior of energy in quantum entanglement states. All energy feedback information is arranged in chronological order and maintains consistent timestamps, ensuring the continuity and comparability of energy change information throughout the entire quantum simulation process.

[0023] After obtaining continuous energy feedback time records, the energy change curves for each time interval are analyzed segment by segment, distinguishing and calibrating the increasing, decreasing, and equilibrium energy segments in the time series. In this process, the amplitude of energy changes is analyzed hierarchically using time as the coordinate axis. Time periods with drastic changes in the energy curve are identified as fluctuation intervals, while time periods with relatively flat energy changes are identified as stable intervals. This hierarchical analysis forms a preliminary energy fluctuation distribution structure, providing a basis for subsequent energy change distribution extraction. Within each time interval identified as an energy fluctuation, the direction of energy change, the start and end points of energy conversion are further recorded, allowing for a complete characterization of the duration and period of the energy fluctuation. This process clearly delineates the change stages in the quantum simulation energy feedback along the time dimension, thus providing a data foundation for subsequent extraction of the time distribution of fluctuation segments.

[0024] After identifying the energy fluctuation intervals, the temporal distribution of these intervals is extracted. The start time, end time, and duration of each energy fluctuation segment are statistically analyzed and arranged in chronological order to form a complete temporal distribution structure for energy fluctuations. This distribution structure reflects the temporal density and concentration of various energy change events in the quantum simulation energy feedback, thus revealing the periodic and temporal clustering characteristics of energy changes during the simulation process. Based on this, the energy fluctuation segments are compared with the energy change records of the previous stage, ensuring a one-to-one correspondence between the temporal distribution of energy changes and actual energy feedback events. This method achieves a precise mapping from energy records to temporal distribution, giving each energy fluctuation in the quantum simulation a clear location and duration on the timeline, laying a temporal foundation for subsequent analysis of energy evolution.

[0025] After obtaining the complete energy fluctuation time distribution, this distribution is integrated with the previous energy change records to form the final energy change record. This energy change record not only contains continuous energy feedback time series information but also extracted and calibrated fluctuation time distribution information, thus achieving a complete record of the entire quantum simulation energy feedback process. By fusing the time-series energy feedback data with the fluctuation distribution information, a traceable energy change record can be obtained in both the time and energy domains, allowing the temporal correlation, continuity, and periodicity of energy changes to be reflected in the same structure. In this energy change record, each time node corresponds to a specific energy change state, and each energy fluctuation segment corresponds to a traceable energy feedback event. This structure enables the quantum simulation energy feedback process to have a continuous descriptive capability. Through this process, the time series of quantum simulation energy feedback is effectively established, energy change information is fully recorded, and the time distribution of energy fluctuation stages is accurately extracted. The final generated energy change record can serve as the input basis for subsequent energy resonance identification and mis-locking loop analysis, providing time-accurate energy feedback data support for the entire carbon emission analysis process of recycled asphalt pavement.

[0026] Based on energy change records, energy fluctuations are compared point by point to identify energy self-excitation enhancement regions, lock the energy resonance core, and record energy drift moments to generate a list of energy resonance anchor points. After establishing the energy change records, in order to further identify the energy self-excitation enhancement region in the quantum simulation energy feedback process and lock the energy resonance core in the time dimension, the specific implementation steps for point-by-point comparative analysis of the quantum simulation energy change records are as follows: Based on a continuous time series, the energy change records in quantum simulations compare the energy difference between each energy data point and its neighboring data points sequentially. The energy fluctuation trend is characterized by the continuous differential relationship of the energy change amplitude. During the comparison process, the consistency of the time sequence is maintained, ensuring the complete preservation of the temporal continuity of energy changes. The increasing trend, decreasing trend, and rate of change of energy within each time interval are recorded synchronously, and the energy increasing interval and energy decreasing interval are marked separately. Through this comparison process, a continuous energy fluctuation distribution structure is formed, including the direction of energy change, the amplitude of energy increase / decrease, and the time interval. This allows the dynamic characteristics of energy changes during quantum simulations to be unfolded along a time axis. This distribution structure not only presents the sequential relationship of energy changes but also provides a continuous energy evolution trajectory basis for identifying regions of energy self-excitation enhancement.

[0027] After obtaining the complete energy fluctuation distribution structure, a focused analysis is performed on the time intervals in the energy change records where a sustained energy increase trend exists, and these continuously rising time periods are extracted as candidate energy enhancement intervals. For each candidate energy enhancement interval, its duration, energy increase rate, and energy change differences with adjacent intervals are further tracked to determine the strength and direction of the energy accumulation trend. Through this process, time segments in the energy change records with continuous energy growth accompanied by acceleration characteristics can be identified, and these time segments constitute the preliminary candidate set of energy self-excitation enhancement regions. In this process, the energy change records serve as input, and by comparing continuous energy data points, the dynamic process of energy forming a self-excitation effect in the time dimension is revealed, enabling the self-excitation characteristics of quantum simulation energy feedback to be extracted and described at the temporal level.

[0028] Based on the identification of energy self-excitation enhancement regions, the energy change sequence within each region is further tracked. From a temporal continuity perspective, the formation location of energy accumulation points and the turning points of energy transfer direction are analyzed to pinpoint the energy resonance core. In this process, the highest point of the energy upward trend within the energy self-excitation enhancement region is identified as the energy peak point, and the point where the energy change direction reverses is taken as the energy inflection point. By analyzing the time difference, energy difference, and energy change slope between the peak point and the inflection point, the instant when energy accumulation reaches a critical point can be determined. This instant represents the core point location of energy resonance in the quantum simulation process. Combined with the corresponding time markers in the energy change records, the temporal position of each energy resonance core can be precisely calibrated, ensuring a unique correspondence between the energy resonance cores on the time axis. By locking the energy resonance core, the energy accumulation center and energy release source in the quantum simulation energy feedback process can be clearly identified, providing a basis for subsequent energy drift analysis and resonance anchor point generation.

[0029] After locking the energy resonance cores, the time periods near each energy resonance core are tracked using the time information in the energy change records as an index, thereby recording the energy drift moments and generating a list of energy resonance anchor points. During this process, the energy change trends before and after the energy resonance cores are continuously tracked to determine the drift direction and distance of the energy peak over time. Continuous recording of the drift direction reflects the migration law of energy resonance in quantum simulation energy feedback. The drift start time, drift end time, and drift duration of each energy resonance core are marked, so that the list of energy resonance anchor points includes not only the temporal location of the energy resonance core but also the complete temporal trajectory of the drift behavior. The resulting list of energy resonance anchor points is a comprehensive result of energy fluctuations, self-excitation enhancement, resonance core formation, and energy drift throughout the entire quantum simulation energy feedback process. Each anchor point in this list contains multi-dimensional information such as the energy peak, energy reversal inflection point, and drift time, accurately characterizing the dynamic features of quantum simulation energy feedback. Through this process, the point-by-point comparison results of energy change records are fully utilized, the energy self-excitation enhancement region is identified, the energy resonance core is locked, and the energy drift moment is fully recorded, thereby generating a list of energy resonance anchor points with time continuity and energy response characteristics, providing a structured data foundation for subsequent energy transfer path tracing and analysis of mis-locked loop time windows.

[0030] Based on the list of energy resonance anchor points, trace the energy transfer path to analyze the energy loop offset and determine the abnormal trigger point and duration to form a time window for energy mislocking loop; After obtaining the list of energy resonance anchor points, in order to further trace the energy transfer path in the energy feedback of quantum simulation, the energy loop offset is analyzed and the abnormal trigger point and duration are determined, thereby forming the energy mislocking loop time window. The specific implementation steps are as follows: Based on the energy resonance cores and their drift times recorded in the energy resonance anchor point list, the energy resonance anchor points are reordered along the time dimension to form a continuous energy transfer sequence. During this process, the mapping relationship between each energy resonance anchor point and its corresponding time period is maintained, and the time interval between energy resonance anchor points is used as the energy transfer spacing. This reordering allows for a temporal expression of the energy transfer order in the quantum simulation process, enabling energy resonance events to construct a continuous transfer trajectory along the time axis. In this stage, by analyzing the relative positions of the energy resonance anchor points, the direction and delay of energy transfer from one resonance core to the next are determined, thus establishing a continuous path for energy propagation along the time dimension during quantum simulation feedback. This process provides a temporal clue for tracing energy loops, making the energy transfer path locatable and traceable.

[0031] After obtaining the continuous time structure of the energy transfer path, a comprehensive analysis is performed on the energy change direction and energy transfer difference between adjacent energy resonance anchor points. The energy transfer process between different resonance cores is decomposed into energy release segments and energy absorption segments. During the analysis, using the energy peak and energy reversal inflection point in the energy resonance anchor point list as references, the energy release segment is defined as the stage where energy is transferred from one resonance core to a subsequent core, and the energy absorption segment is defined as the stage where subsequent cores re-accumulate energy. This division clearly depicts the periodic variation of energy along the transfer path in the quantum simulation feedback structure. When consecutive energy release and absorption segments form a closed path, it indicates that an energy loop has been formed within the quantum simulation. Furthermore, by comparing the time span and energy flow direction of different energy loops, the stability and symmetry of the energy transfer path can be determined. When a sudden change in energy flow direction or a reversal in energy accumulation direction occurs in the energy loop, the region where the energy loop has shifted can be preliminarily identified. The occurrence of this shift indicates that abnormal feedback coupling has occurred in the energy transfer path of the quantum simulation energy feedback system, thus providing a basis for subsequently determining the abnormal trigger point.

[0032] After identifying the regions where energy loops have shifted, time-tracking analysis is performed on these regions to determine the start time, trigger position, and duration of the shift. The energy resonance cores corresponding to the shifted regions in the energy resonance anchor point list are used as reference points, and the energy change trajectory before and after the shift is tracked along the time axis. During the tracking process, the initial moment of the energy shift is defined as the abnormal trigger point, and the point at which the energy shift returns to a stable transmission state is defined as the shift end point. By measuring the time interval between the abnormal trigger point and the shift end point, the duration of the energy loop shift can be obtained. Furthermore, by comparing the changes in energy transmission direction and energy amplitude in each shifted segment, the spatial migration pattern of energy during the shift can be determined. When the shifted regions of multiple energy loops overlap in time, it indicates that there is a superposition of multiple energy couplings within the quantum simulation feedback system during that time period, thus forming an unstable aggregation state of energy feedback. Through this method based on time tracking and energy direction comparison, the abnormal trigger point of the energy loop shift can be accurately located in the time dimension, and its duration can be quantified, allowing the abnormal characteristics of quantum simulation energy feedback to be fully presented.

[0033] After determining the abnormal trigger points and duration of energy loop offsets, these abnormal regions are connected chronologically, using time series as the main thread, to form an energy mislocking loop time window. In this process, the start time, end time, and duration of the energy loop offset are summarized, and multiple energy loops where the energy feedback direction reverses or energy accumulation abruptly changes within the same time period are correlated to extract the time range of the energy mislocking loop. In this way, the cyclic coupling phenomenon formed by energy in multiple feedback paths during quantum simulation can be defined in the form of a time window. This energy mislocking loop time window reflects the resonant superposition effect and energy cycle characteristics of quantum simulation energy feedback in the time dimension, providing a basic reference for subsequent phase buffer sequence planning and energy unloading sequence design. The formation of the energy mislocking loop time window not only reveals the offset patterns in the quantum simulation energy transfer path but also provides a time-domain intervention basis for stabilizing quantum simulation energy feedback. Through this process, the time and energy information in the energy resonance anchor list is fully utilized, the energy transfer path is completely traced, the energy loop offset is accurately identified, and the abnormal trigger point and duration are precisely determined. Ultimately, an energy mislocking loop time window that can be used for dynamic control is formed, thus providing a time-controllable energy stability basis for quantum simulation carbon emission analysis.

[0034] Based on the energy mislock loop time window, the phase buffer sequence and energy unloading sequence are planned to determine the switching beat parameters and delay range parameters, and a rhythm intervention scheme is generated. After forming the energy mislock loop time window, in order to achieve rhythmic intervention and energy stability control of quantum simulation energy feedback in the time dimension, the phase buffering sequence and energy unloading sequence of the energy mislock loop time window are planned to determine the switching beat parameters and delay range parameters, and generate a rhythmic intervention scheme. The specific implementation steps are as follows: Based on the abnormal trigger points and durations recorded in the energy mis-lock loop time windows, an energy mis-lock loop time axis is constructed, arranging the energy mis-lock loop time windows in chronological order to clearly define the relationships between each time window. During this process, the start time, end time, and duration of each energy mis-lock loop time window are recorded consistently to ensure the continuity and non-overlapping nature of the time axis. This method allows for a complete view of the temporal distribution of the energy mis-lock loop during the quantum simulation feedback process. For each energy mis-lock loop time window, the offset direction of the energy loop and the superposition trend of energy feedback are analyzed to determine the energy accumulation density on the time axis, thus identifying the high-frequency and low-frequency segments of energy feedback. Based on the time axis, the high-frequency segment of energy feedback is defined as the priority intervention zone, and the low-frequency segment is defined as the slow-release regulation zone. This division provides an initial partition for planning the phase buffer sequence in the time dimension, enabling precise timing of intervention in quantum simulation energy feedback.

[0035] After dividing the timeline of the energy mislock loop time windows, a phase buffering sequence is planned based on the energy superposition characteristics of energy feedback in each time interval. The establishment of the phase buffering sequence is centered on the temporal order, arranging each energy mislock loop time window sequentially according to the order in which energy peaks appear. For cases where there is energy coupling between adjacent time windows, the start time of the energy response in adjacent time windows is delayed to create temporal staggers, allowing the energy release behavior in the quantum simulation process to unfold gradually in a sequential buffering manner. Through this sequential planning, phase misalignment of quantum state energy feedback can be achieved in the time dimension, preventing adjacent energy loops from releasing energy simultaneously and reducing the synchronization effect of energy accumulation. During the planning process, the buffering start and end times of each time window are recorded, and buffer intervals are set, ensuring an ordered phase extension relationship for quantum simulation energy feedback between different time windows. In this way, the phase buffering sequence can achieve a layered transition of energy release within the energy mislock loop time window, providing a temporal basis for determining the energy unloading sequence.

[0036] Based on the determined phase buffer sequence, and combined with the energy loop offset information within the energy mislock loop time window, the energy unloading sequence is planned. The energy unloading sequence is determined with energy peak distribution as its core, combining the energy release sequence with the phase buffer sequence so that the energy release path in the quantum simulation feedback process is determined by both time sequence and energy direction. During implementation, energy release points are selected sequentially according to the time nodes in the phase buffer sequence, and an initiation delay for energy unloading is set before each release point. By setting the delay range parameter, a stable time buffer can be formed in the energy feedback system, preventing concentrated energy release within the same time period from causing re-resonance. Once the energy unloading sequence is established, the energy transfer direction within each energy mislock loop time window is redistributed, allowing energy flow to proceed in stages along the time axis. During the energy unloading process, the continuity and traceability of the time delay parameter are maintained, ensuring that energy transfer at different time periods can be completed sequentially in the quantum simulation feedback. Through this energy unloading sequence planning, the cyclic accumulation of energy in the feedback structure is effectively dispersed, providing a basic framework for generating rhythm intervention schemes and energy release paths.

[0037] After obtaining the phase buffer sequence and energy unloading sequence, a rhythmic intervention scheme is generated by integrating the delay range parameters and switching beat parameters in each energy mislocking loop time window, based on their temporal relationship as the main thread. In this process, the duration of each energy mislocking loop time window is matched with the phase buffer interval, forming a continuous switching beat chain in time. Each switching beat parameter corresponds to an energy release phase, and each delay range parameter corresponds to an energy buffer phase. By setting the coordination relationship between the beat and the delay, a rhythmic sequence of alternating energy release and energy buffering is formed, making the quantum simulation energy feedback present a periodic intervention structure on the time axis. In this rhythmic intervention scheme, the high-frequency segment of the energy mislocking loop time window is configured as a short beat region to quickly eliminate the energy accumulation trend; the low-frequency segment of the energy mislocking loop time window is configured as a long beat region to extend the energy release buffer period. This time-series-based rhythmic planning enables dynamic control of the quantum simulation energy feedback process in the time dimension, forming a closed-loop control rhythm composed of phase buffer sequence, energy unloading sequence, switching beat parameters, and delay range parameters. This rhythmic intervention scheme can adjust the energy transfer rhythm with time as the core dimension during quantum simulation operation, maintaining a temporal balance between energy release and energy accumulation, thereby preventing the recurrence of energy resonance. Through this process, abnormal characteristics in the energy mislocking loop time window are processed temporally, the phase buffer sequence and energy unloading sequence are planned synchronously, and the switching beat parameters and delay range parameters are fully matched, ultimately generating a rhythmic intervention scheme with both temporal coordination and energy balance, providing a continuous dynamic control basis for the stable operation of quantum simulation carbon emission analysis.

[0038] According to the rhythm intervention scheme, real-time rhythm adjustment is performed within the time window of the energy mislock loop to alternate between the reverse phase beat stage and the energy isolation stage. An entropy release pulse signal is introduced to continuously refresh the energy resonance anchor point list, thereby achieving stable control of the quantum simulation process and preventing the energy resonance from accumulating again. After generating the rhythm intervention scheme, in order to achieve dynamic balance and continuous stability in the time dimension of quantum simulation energy feedback, real-time rhythm adjustment is performed within the energy mislock loop time window. The reverse phase beat stage and the energy isolation stage are alternately controlled, and an entropy release pulse signal is introduced to continuously refresh the energy resonance anchor point list, thereby maintaining the stability of the quantum simulation process and the continuous balance of energy feedback. The specific implementation steps are as follows: Based on the switching beat parameters and delay range parameters set in the rhythm intervention scheme, the energy mislocking loop time window is divided into a beat control zone and a buffer isolation zone, allowing energy to dynamically switch in opposite rhythm directions within different time intervals. In this process, the starting moment of the energy mislocking loop time window is used as the synchronization reference point for rhythm switching. The beat control zone is set as the reverse-phase beat stage, and the buffer isolation zone is set as the energy isolation stage. This division allows the quantum simulation energy feedback to alternately enter both energy excitation and energy release states in the time sequence. When entering the reverse-phase beat stage, the energy feedback direction is opposite to the energy transfer direction of the previous cycle, thus forming a phase offset effect and weakening the synchronous accumulation trend of energy in the quantum simulation feedback loop. When entering the energy isolation stage, energy transfer is temporarily cut off, allowing energy to achieve a brief dynamic pause in the feedback link. Through the periodic switching between the reverse-phase beat stage and the energy isolation stage, a rhythmic balance of energy feedback can be established in time, limiting energy fluctuations within a controllable range during quantum simulation and providing a time buffer window for the subsequent entropy release process.

[0039] During the alternation between the reverse-phase beat phase and the energy isolation phase, the phase relationship of the energy feedback is dynamically adjusted to maintain a smooth transition between energy release and energy isolation. Specifically, in the reverse-phase beat phase, the duration of energy release is controlled by the time beat parameter, ensuring that energy completes a reverse energy flow at a fixed time interval in each beat cycle. In the energy isolation phase, the duration of the energy quiescent interval is set by the delay range parameter, temporarily halting the energy flow in the quantum simulation feedback structure. Through the coordination of beat and delay, a dynamic transition zone is formed between the reverse-phase and isolation phases. In this transition zone, the energy feedback state gradually transitions from release to isolation and then back to release, thus avoiding phase drift caused by sudden energy changes. Through this phase buffering mechanism, the continuity of quantum simulation energy feedback is maintained, and the time interval of energy exchange remains consistent, ensuring that the switching beat parameters and delay range parameters in the rhythm intervention scheme are executed synchronously in the actual simulation. Through this continuous rhythmic adjustment, the temporal and spatial structures of energy feedback can remain in equilibrium, creating a stable environment for the injection of entropy release pulse signals.

[0040] During the alternating operation of the reverse-phase beat phase and the energy isolation phase, an entropy release pulse signal is introduced to dynamically refresh the energy resonance anchor point list. The entropy release pulse signal is time-triggered and injected at the midpoint of the energy isolation phase, causing a brief entropy release effect in the system's energy state. When this entropy release pulse signal acts on the quantum simulation energy feedback structure, it disrupts the coherent relationship of energy accumulation in the time domain, updating the anchor point states in the energy resonance anchor point list. Specifically, under the action of the entropy release pulse signal, the energy intensity values ​​of the original energy resonance anchor points are redistributed, and the drift time is recalibrated, enabling the energy resonance anchor point list to reflect the latest state of the quantum simulation energy feedback in real time. During this process, the periodicity of the entropy release pulse signal is kept consistent with the switching beat parameters of the rhythm intervention scheme, maintaining time synchronization between the pulse signal and the reverse-phase beat phase. Through this continuous entropy release and anchor point refresh process, a dynamically self-regulating energy balance structure can be formed in the quantum simulation energy feedback system, allowing the energy resonance anchor point list to be continuously updated over time and preventing energy resonance from accumulating at the same location for a long period.

[0041] Under the combined effect of entropy release pulse signals and rhythm intervention schemes, real-time rhythm adjustment of quantum simulation energy feedback is achieved, enabling stable control of the entire quantum simulation process in the time dimension. In this stage, the periodic characteristics of quantum simulation energy feedback are maintained through continuous alternation between the inverse phase and energy isolation phases, thus forming a rhythmic cycle of energy flow. During this rhythmic cycle, each energy mislocking loop time window is updated rhythmically in the form of an independent time slice, ensuring that each stage of quantum simulation energy feedback maintains a continuous connection with the previous stage. When the entropy release pulse signal acts on the energy resonance anchor point list, the energy state within the energy feedback system is periodically reset, and the phase relationship of the energy loop is redistributed, preventing repeated resonances along the same path. Through this continuous rhythm adjustment, the quantum simulation energy feedback process maintains dynamic equilibrium in the time domain and balanced distribution in the energy domain, enabling a periodic regulatory relationship between energy accumulation and energy release. By employing a rotation mechanism of reverse-phase timing and energy isolation, the periodic action of entropy release pulse signals, and the continuous updating of the energy resonance anchor point list, the energy evolution of the quantum simulation process can be kept under control, preventing the re-accumulation of energy resonance and ensuring stable operation of the quantum simulation carbon emission analysis process in both energy feedback and time rhythm dimensions. Through this process, the rhythm intervention scheme is fully executed, the time window of energy mis-locking loop is fully utilized, the reverse-phase timing stage and the energy isolation stage are dynamically connected, and the entropy release pulse signal is periodically refreshed. Ultimately, real-time stable control of quantum simulation energy feedback is achieved, providing a continuous and stable quantum simulation foundation for the accurate quantification of carbon emissions from recycled asphalt pavements.

[0042] This invention establishes a time series of energy feedback during quantum simulation and dynamically tracks energy fluctuations and extracts resonance anchor points based on energy change records, enabling continuous monitoring of energy feedback in the time dimension. By identifying energy transfer paths and time windows of mis-locked loops, real-time control of the energy coupling process of quantum energy states is achieved, effectively avoiding the abnormal accumulation of energy loops in quantum simulation. This method maintains a balanced state of energy changes during simulation, reduces computational fluctuations caused by self-amplification, and ensures the stability and reliability of quantum simulation carbon emission analysis results at the energy feedback level.

[0043] This invention constructs a rhythmic intervention scheme, performing periodic switching between inverse phase beats and energy isolation within the energy mislocking loop time window, and introduces entropy release pulse signals to dynamically refresh the energy resonance anchor point, achieving adaptive and stable control of the quantum simulation feedback system. Through rhythmic energy regulation, the energy distribution in time and space is made more balanced, suppressing the re-formation of energy resonance in quantum feedback, thereby maintaining the continuous coordination of the quantum state phase. This method improves the energy evolution accuracy of quantum simulation in carbon emission modeling, providing highly stable dynamic quantitative support for carbon emission assessment of recycled asphalt pavements.

[0044] This invention provides, for example Figure 2 The quantum simulation-based carbon emission analysis system for recycled asphalt pavement shown includes an energy feedback time series construction module, an energy resonance identification module, an energy transfer tracing module, a rhythm intervention planning module, and a real-time rhythm control module. The energy feedback time series construction module establishes a time series of quantum simulation energy feedback during the quantum simulation carbon emission analysis process, records energy change information and extracts the time distribution of energy fluctuation stages to generate energy change records. The energy resonance identification module compares energy fluctuations point by point based on energy change records to identify energy self-excitation enhancement areas, locks the energy resonance core, and records energy drift moments to generate a list of energy resonance anchor points. The energy transfer tracing module traces the energy transfer path based on the energy resonance anchor point list to analyze the energy loop offset and determine the abnormal trigger point and duration to form an energy mislocking loop time window. The rhythm intervention planning module determines the switching beat parameters and delay range parameters and generates a rhythm intervention scheme based on the energy mislocking loop time window planning phase buffer sequence and energy unloading sequence; The real-time rhythm control module performs real-time rhythm adjustment within the energy mislock loop time window according to the rhythm intervention scheme to alternate between the reverse phase beat stage and the energy isolation stage. It introduces entropy release pulse signals to continuously refresh the energy resonance anchor point list, thereby achieving stable control of the quantum simulation process and preventing the re-accumulation of energy resonance.

[0045] The quantum simulation-based carbon emission analysis method for recycled asphalt pavement provided in this invention is implemented through the aforementioned quantum simulation-based carbon emission analysis system for recycled asphalt pavement. For details on the specific methods and procedures of the quantum simulation-based carbon emission analysis system for recycled asphalt pavement, please refer to the embodiments of the quantum simulation-based carbon emission analysis method for recycled asphalt pavement, which will not be repeated here.

[0046] The foregoing has only described certain exemplary embodiments of the present invention by way of illustration. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the foregoing drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A method for analyzing carbon emissions from recycled asphalt pavement based on quantum simulation, characterized in that, Includes the following steps: In the process of quantum simulation carbon emission analysis, a time series of quantum simulation energy feedback is established to record energy change information and extract the time distribution of energy fluctuation stages to generate energy change records. Based on energy change records, energy fluctuations are compared point by point to identify energy self-excitation enhancement regions, lock the energy resonance core, and record energy drift moments to generate a list of energy resonance anchor points. Based on the list of energy resonance anchor points, trace the energy transfer path to analyze the energy loop offset and determine the abnormal trigger point and duration to form a time window for energy mislocking loop; Based on the energy mislock loop time window, the phase buffer sequence and energy unloading sequence are planned to determine the switching beat parameters and delay range parameters, and a rhythm intervention scheme is generated. According to the rhythm intervention plan, real-time rhythm adjustment is performed within the time window of the energy mislocking loop to alternate between the reverse phase beat phase and the energy isolation phase, and entropy release pulse signals are introduced to continuously refresh the list of energy resonance anchor points.

2. The method for analyzing carbon emissions from recycled asphalt pavement based on quantum simulation according to claim 1, characterized in that, The steps for generating energy change records are as follows: By continuously recording the energy input, energy output and energy transfer states generated during the quantum simulation in a time evolution sequence, the simulation process is divided into equally spaced time intervals, and the energy change amplitude, energy conversion rate and energy exchange direction of the quantum energy state are recorded to form an energy change record. After obtaining the energy change records, the energy change curves within the time intervals are analyzed segment by segment. The energy increasing segment, decreasing segment and equilibrium segment are distinguished and calibrated, and the time distribution of the energy fluctuation stage is extracted. The energy fluctuation time distribution structure is formed by statistically analyzing the start time, end time, and duration of each energy fluctuation phase, and the energy fluctuation phases are compared with energy change records to establish a time mapping relationship. By integrating the temporal distribution of energy fluctuations with energy change records to form a complete energy change record, the energy feedback of quantum simulation is trackable in both the time and energy domains, and provides a data foundation for energy resonance identification and loop mislocking analysis.

3. The method for analyzing carbon emissions from recycled asphalt pavement based on quantum simulation according to claim 2, characterized in that, When forming a complete energy change record, the energy feedback information is arranged in chronological order by maintaining the consistency of timestamps, and the time positions of the energy change direction, the start point and the end point of energy conversion are recorded synchronously in the energy fluctuation time distribution structure. This ensures that the continuity and traceability of the quantum simulation energy feedback are maintained, thereby ensuring that the correspondence between the energy change record in the time dimension and the energy dimension is stable.

4. The method for analyzing carbon emissions from recycled asphalt pavement based on quantum simulation according to claim 2, characterized in that, The steps for generating the energy resonance anchor point list are as follows: Based on continuous time series, the differences between adjacent energy data points in the quantum simulation energy change record are compared sequentially to record the energy change amplitude, energy conversion rate and energy direction to form an energy fluctuation distribution structure. Based on the analysis of the energy fluctuation distribution structure, the time intervals in which the energy increasing trend persists are analyzed, and candidate intervals for energy enhancement are extracted to identify regions of energy self-excitation enhancement. Track the energy change sequence within the energy self-excitation enhancement region and identify the energy peak point and energy inversion inflection point to lock the energy resonance core; Using the time information in the energy change records as an index, we track the energy change trend before and after the energy resonance core to record the energy drift moment and generate a list of energy resonance anchor points.

5. The method for analyzing carbon emissions from recycled asphalt pavement based on quantum simulation according to claim 4, characterized in that, During the generation of the energy resonance anchor point list, the energy peak and the energy reverse inflection point are time-correlated and calibrated based on the time position of the energy resonance core. The energy resonance anchor points are dynamically updated by continuously recording the energy drift direction and drift duration, so that the energy resonance anchor point list maintains time continuity and energy response consistency during the quantum simulation energy feedback process.

6. The method for analyzing carbon emissions from recycled asphalt pavement based on quantum simulation according to claim 4, characterized in that, The formation process of the energy mislock loop time window is as follows: Based on the energy resonance cores and drift times in the list of energy resonance anchor points, time sorting is performed to form a continuous energy transfer sequence, and the time interval between adjacent energy resonance anchor points is marked to determine the energy transfer direction and transfer delay; Analyze the direction of energy change and the energy transmission difference based on the energy transfer path to distinguish between the energy release section and the energy absorption section and identify the energy loop offset area; Time tracking is performed on the energy loop offset region to determine the start time, trigger location, and duration of the energy offset, and to identify abnormal trigger points; The start time, end time, and duration of the energy loop offset are summarized to form the energy mislock loop time window.

7. The method for analyzing carbon emissions from recycled asphalt pavement based on quantum simulation according to claim 6, characterized in that, The steps for generating a rhythm intervention plan are as follows: Based on the abnormal trigger points and duration of the energy mislock loop time window, an energy mislock loop time axis is constructed and divided into high-frequency and low-frequency segments to identify the intervention zone and the slow-release zone. Based on the energy superposition characteristics of energy feedback in each time interval, the phase buffering sequence is planned, and the energy response start time of adjacent time windows is delayed to form time stagger to achieve energy release sequence buffering. By combining the energy loop offset information in the energy mislock loop time window, the energy unloading sequence is planned, and the energy is released in stages by forming a time buffer between the set delay range parameters. Based on the phase buffer sequence and energy unloading sequence, the delay range parameters and switching beat parameters are matched to form a continuous switching beat chain and generate a rhythm intervention scheme with time coordination and energy balance.

8. The method for analyzing carbon emissions from recycled asphalt pavement based on quantum simulation according to claim 7, characterized in that, The phase buffer sequence and energy unloading sequence set in the rhythm intervention scheme are synchronized in time by dynamically matching the switching beat parameters and delay range parameters, so that the energy release phase and energy buffer phase alternate on the time axis. Short beat zones are configured in the high frequency band to eliminate the energy accumulation trend, and long beat zones are configured in the low frequency band to extend the energy buffer cycle.

9. The method for analyzing carbon emissions from recycled asphalt pavement based on quantum simulation according to claim 7, characterized in that, The following steps are taken to perform real-time rhythm adjustment within the energy mislock loop time window according to the rhythm intervention plan: Based on the switching beat parameters and delay range parameters in the rhythm intervention scheme, the energy mislock loop time window is divided into a beat control area and a buffer isolation area to form a reverse beat phase and an energy isolation phase. During the alternation between the reverse phase and the energy isolation phase, a smooth transition between energy release and energy isolation is maintained based on the time phase parameters and delay range parameters; At the midpoint of the energy isolation phase, an entropy release pulse signal is introduced to break up the coherent relationship of energy accumulation and refresh the list of energy resonance anchor points. Under the combined effect of entropy release pulse signals and rhythm intervention schemes, real-time stable control of quantum simulation energy feedback is achieved through continuous alternation of the inverse phase beat stage and the energy isolation stage.

10. A quantum simulation-based carbon emission analysis system for recycled asphalt pavement, used to implement the quantum simulation-based carbon emission analysis method for recycled asphalt pavement as described in any one of claims 1-9, characterized in that, It includes an energy feedback time series construction module, an energy resonance identification module, an energy transfer tracing module, a rhythm intervention planning module, and a real-time rhythm control module: The energy feedback time series construction module establishes a time series of quantum simulation energy feedback during the quantum simulation carbon emission analysis process, records energy change information and extracts the time distribution of energy fluctuation stages to generate energy change records. The energy resonance identification module compares energy fluctuations point by point based on energy change records to identify energy self-excitation enhancement areas, locks the energy resonance core, and records energy drift moments to generate a list of energy resonance anchor points. The energy transfer tracing module traces the energy transfer path based on the energy resonance anchor point list to analyze the energy loop offset and determine the abnormal trigger point and duration to form an energy mislocking loop time window. The rhythm intervention planning module determines the switching beat parameters and delay range parameters and generates a rhythm intervention scheme based on the energy mislocking loop time window planning phase buffer sequence and energy unloading sequence; The real-time rhythm control module performs real-time rhythm adjustments within the energy mislocking loop time window according to the rhythm intervention plan to alternate between the reverse phase beat stage and the energy isolation stage, and introduces entropy release pulse signals to continuously refresh the energy resonance anchor point list.

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