Method for correcting influence of moisture content on mineral parameter measurement based on mapping knowledge domain

Abstract

The invention discloses a method for correcting the influence of moisture content on mineral parameter measurement based on a knowledge graph, which relates to the technical field of mineral parameter measurement, and comprises the following steps: constructing a double-time-domain acquisition chain around mineral parameter measurement correction, synchronously writing a mineral surface moisture signal and a mineral parameter measurement signal into the double-time-domain acquisition chain, and internal and external response time difference indexes are generated at the tail end of the double-time-domain acquisition chain. Time correspondence between surface moisture and internal response is realized through a double-time-domain acquisition chain and internal and external response time difference indexes, a correction time range is limited by using a delayed release mark, and a correction process naturally goes back along with internal slow release change in combination with transfer correction and reverse occupation control of a slow release undertaking sequence, so that the correction accuracy is improved. And continuity, reliability and long-term stability of a measurement result are ensured.

Description

Technical Field

[0001] This invention relates to the field of mineral parameter measurement technology, and specifically to a method for correcting the influence of moisture content on mineral parameter measurement based on knowledge graphs. Background Technology

[0002] Correction of the impact of moisture content on mineral parameter measurement based on knowledge graphs refers to the process of synchronously acquiring mineral physical parameter signals and corresponding moisture content information through an intelligent sensing system during mineral parameter detection. The relationships between mineral type, compositional characteristics, water content, sensor response characteristics, and historical measurement deviations are structured and expressed in the form of a knowledge graph. Based on this, systematic measurement biases introduced by moisture changes are correlated and dynamically corrected. This method no longer relies on a single empirical coefficient or static compensation, but instead constructs a correlation network between minerals, moisture, and measurement results based on multi-source sensor data. This allows the intelligent sensing system to identify the specific impact path of the current moisture state on mineral parameter signals during real-time measurement and to perform targeted corrections to the original measurement results, thereby achieving stable characterization and consistent output of mineral parameters under different water content conditions.

[0003] The existing technology has the following shortcomings: Under current technological conditions, during the correction of mineral parameter measurement results for moisture effects, microscale moisture retention zones often exist within the mineral, formed by microporous structures or minute cracks. When external environmental moisture conditions change and gradually stabilize, the surface moisture signal acquired by the intelligent sensing system appears stable. However, due to the significant time delay in moisture release within these retention zones, the corresponding physical response within the mineral continues to evolve. Existing knowledge graph correction mechanisms typically update correlations based on changes in external moisture signals, failing to effectively identify and distinguish the lag effect of moisture release within the mineral. This leads to the continued triggering of correction inference processes even when external moisture conditions have stabilized, causing correction operations to be repeatedly superimposed on the still-weak internal response. Consequently, this results in continuous over-adjustment of mineral parameter measurement results over time, reducing the reliability and stability of the measurement results.

[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 for correcting the influence of moisture content on mineral parameter measurement based on knowledge graphs, so as to solve the problems in the background art mentioned above.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a method for correcting the influence of moisture content on mineral parameter measurement based on knowledge graphs, comprising the following steps: A dual-time-domain acquisition chain is constructed around the mineral parameter measurement and correction. The mineral surface moisture signal and the mineral parameter measurement signal are synchronously written into the dual-time-domain acquisition chain, and an internal and external response time difference index is generated at the end of the dual-time-domain acquisition chain as a unified time reference basis for subsequent correction processing. Based on the internal and external response time difference index, the data in the dual time domain acquisition chain is expanded over time to extract the continuous segment where the mineral surface moisture signal has entered a stable state, and the slow-release segment where the mineral parameter measurement signal is still in a state of change is simultaneously marked. At the end of the time expansion, a hysteresis release marker is formed to limit the effective time range of the correction effect. By using delayed release markers, the correlation between moisture and mineral parameters in the knowledge graph is adjusted in segments. This ensures that the stable segment of the mineral surface moisture signal is used only as the correction boundary constraint input, while the slow-release segment is used as the main correction input line. When the correlation adjustment is completed, the slow-release succession sequence is output to determine the succession order of the correction amplitude. Based on the slow-release sequence, the writing rhythm of the mineral parameter measurement correction is rearranged, the mineral parameter measurement correction is divided into multiple progressive correction segments, and the progressive correction segments are applied sequentially according to the slow-release sequence. When the progressive correction is completed, a reverse occupancy control aperture is generated to limit the continuous intervention of the stable segment of the mineral surface moisture signal in the correction process. Based on the reverse occupancy control caliber introduction time reverse blanking breathing traction method, the source of correction triggering is suppressed in the stable segment of the mineral surface moisture signal, and the shifting correction segment is released segment by segment along the slow release sequence, so that the mineral parameter measurement correction process is naturally completed as the slow release segment changes.

[0007] Preferably, the steps for generating the internal and external response time difference index are as follows: The sensing signal used to detect the surface moisture state of minerals and the response signal used to detect changes in mineral parameters are synchronously connected to the input end of the dual time domain acquisition chain to establish a surface moisture signal acquisition channel and a mineral parameter measurement signal acquisition channel. Acquisition is started at a unified trigger time to ensure time correspondence. After completing the synchronous writing, the time axis of the dual-time domain acquisition chain is expanded, and the surface moisture change curve and the mineral parameter response curve are mapped in parallel to form a dual-time domain parallel structure. After time expansion, the surface moisture signal and mineral parameter measurement signal are compared hourly to extract the correlation between their changing trends and generate an internal and external response time difference index. The time difference relationship is then appended to the end of the acquisition chain. Based on the internal and external response time difference index, the dual time domain acquisition chain is integrated with the time reference, so that the surface moisture signal and the mineral parameter measurement signal form a unified time reference system after delay compensation.

[0008] Preferably, the surface moisture signal and the mineral parameter measurement signal are realigned in the time dimension using the internal and external response time difference index as a unified reference, and a continuous set of sampling points is formed through delay compensation. This enables the dual time domain acquisition chain to have time difference compensation capability, thereby realizing the time correspondence between changes in mineral parameter measurement signals and changes in external moisture conditions, and providing a unified time reference input for subsequent correction processing.

[0009] Preferably, the delayed release marker generation steps are as follows: Based on the time difference distribution of the internal and external response time difference index, the time series in the dual time domain acquisition chain is extended and expanded so that each time node forms a continuous time extension band in the time dimension while maintaining the original response time difference characteristics. After time expansion, a continuous analysis of the time series of surface moisture signals was performed to identify continuous segments where the variation amplitude of surface moisture signals remained stable and to correlate them with the formation time of mineral parameter measurement signals. Based on the stable segment of surface moisture signal, the mineral parameter measurement signals are compared and analyzed, and the time segment that is still in a state of change is extracted as the slow-release segment and marked in the time expansion structure. After identifying the stable and slow-release segments, the time-spread structure is integrated, and a hysteresis release marker is formed based on the overlap relationship between the two types of segments, thus defining the effective time range of the correction effect.

[0010] Preferably, the time span is calculated by comparing the end point of the stable segment of the surface moisture signal with the attenuation end point of the slow-release segment of the mineral parameter measurement signal, and the time span is written as the core parameter of the hysteresis release marker at the end of the time unfolding sequence, so that the time unfolding structure has the ability to identify the time delay of the internal and external response differences and is used to limit the time boundary of the correction effect.

[0011] Preferably, the slow-release receiver sequence output steps are as follows: Using the delayed release marker as the time division benchmark, the relationship structure between water and mineral parameters in the knowledge graph is divided into temporal layers, so that the stable segment of surface water signal and the slow-release segment inside the mineral form a continuous but distinct relationship chain. After completing the time stratification, the node relationship of the stable section of the surface moisture signal is taken as the starting point, and its range of influence is constrained so that the stable section of the surface moisture signal is only used as the correction boundary constraint input to participate in the correction logic. By using the time span indicated by the delayed release markers, the slow-release segments inside the mineral are reconstructed in the knowledge graph as the main correction input, so that the water influence relationship is sequentially connected along the time direction; After completing the reconstruction of the internal slow-release section, the time sequence relationship is organized, and the slow-release succession sequence is output when the correlation adjustment is completed to determine the succession order of the correction magnitude.

[0012] Preferably, when outputting the slow-release sequence, the time parameter of the delayed release marker is used as a constraint condition to arrange the connection relationship between the changes in moisture state and mineral parameters at each time node in the slow-release segment in chronological order, so that the slow-release sequence can achieve continuous transition in the time dimension, and the correction amplitude is shifted along the time direction to maintain dynamic consistency with the slow-release process inside the mineral.

[0013] Preferably, the steps for generating the reverse occupancy control caliber are as follows: Based on the time sequence defined in the slow-release sequence, the mineral parameter measurement correction is decomposed into time segments so that each correction corresponds to a specific slow-release stage in the time dimension and maintains continuity and overall consistency. After obtaining the segmented correction amount fragments, the writing rhythm of the correction amount is rearranged according to the time order of the sustained-release sequence, so that the correction operation proceeds sequentially with the internal sustained-release evolution direction. The shift correction segments are applied sequentially according to the slow-release sequence, so that the correction effect is carried out during the time period when the internal response is still in a state of change and a continuous shift characteristic is formed. After the shift correction segment is applied, a reverse occupancy control caliber is generated based on the final time period of the slow-release sequence to limit the continuous intervention of the stable segment of the mineral surface moisture signal in the correction process.

[0014] Preferably, the reverse occupancy control aperture is generated with reference to the end time of the calibration process. The time extension range of the stable section of the surface moisture signal is compared with the end time of the internal slow-release section. The reverse occupancy control aperture is established based on the overlap range of the two on the time axis. This allows the surface moisture signal to gradually weaken its influence on calibration triggering after entering the stable section, thereby preventing the external moisture signal from re-intervening in the calibration process after the calibration is completed.

[0015] Preferably, based on the reverse occupancy control caliber introduction time-reverse silencing respiration traction method, the following steps are taken to suppress the correction trigger source in the stable segment of the mineral surface moisture signal and release the shifted correction fragment segment by segment along the sustained-release sequence: Based on the reverse occupancy control caliber as the time constraint, the time extension range of the stable section of the mineral surface moisture signal is determined and a correction trigger suppression zone is established so that the external moisture signal no longer generates a new correction trigger effect within the stable section. Based on the time parameters of the reverse occupancy control aperture, the time advancement direction of the correction process is changed from forward progression to reverse regression, and a time reverse release path is established along the time axis to achieve temporal blanking of the correction energy; The correction fragments are released segment by segment along the sustained-release sequence, so that the release rhythm of the correction amount is consistent with the decay rate of the sustained-release response inside the mineral and a breathing traction effect is formed. After all the shifting correction segments have been released along the reverse time path, the correction process time window is closed, allowing the correction process to naturally recede and complete as the slow-release segment changes.

[0016] The technical effects and advantages provided by the present invention in the above technical solution are as follows: This invention constructs a dual-time-domain acquisition chain and generates an internal and external response time difference index, enabling synchronous correspondence between mineral surface moisture signals and mineral parameter measurement signals in the time dimension. This allows for the identification of stages where the external moisture state is stable while the internal response is still undergoing slow-release changes. By forming a hysteresis release marker after time unfolding, the time boundary of the correction effect is effectively defined, allowing the correction process to proceed according to the actual internal response rhythm. This avoids situations where correction continues to be triggered after the moisture signal has stabilized, fundamentally reducing over-adjustment in the time dimension and ensuring the continuity and stability of mineral parameter measurement results in the time series.

[0017] This invention achieves dynamic adjustment and self-closing control of the correction process through a progressive correction based on a slow-release sequence and reverse occupancy control. This allows the correction amount to be gradually released and naturally decay as the slow-release response within the mineral changes. Through a time-reverse closing breathing traction method, the correction process can gradually exit after the surface moisture stabilizes, ensuring the measurement system remains dynamically consistent with the internal response process. The parameter output transitions smoothly at the end of the correction, thereby improving the reliability and long-term stability of mineral parameter measurement results. 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 correcting the influence of moisture content on mineral parameter measurement based on knowledge graphs, as per the present invention. Detailed Implementation

[0020] 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.

[0021] This invention provides, for example Figure 1 The knowledge graph-based correction method for the influence of moisture content on mineral parameter measurements includes the following steps: A dual-time-domain acquisition chain is constructed around the mineral parameter measurement and correction. The mineral surface moisture signal and the mineral parameter measurement signal are synchronously written into the dual-time-domain acquisition chain, and an internal and external response time difference index is generated at the end of the dual-time-domain acquisition chain as a unified time reference basis for subsequent correction processing. A dual-time-domain acquisition chain is constructed around mineral parameter measurement and correction. Through synchronous acquisition of multi-source signals and generation of time difference indexes, a precise correspondence and dynamic correlation between mineral surface moisture signals and mineral parameter measurement signals are achieved. The specific steps are as follows: The sensing signals used to detect the surface moisture state of minerals and the response signals used to detect changes in mineral parameters are synchronously input into the dual-time-domain acquisition chain, establishing separate acquisition channels for surface moisture signals and mineral parameter measurement signals. Both types of signals are acquired at a unified trigger time to ensure a strict temporal correspondence when the data is written into the dual-time-domain acquisition chain. During the signal input phase, a unified timestamp allocation rule is set for the acquisition process, ensuring that each sampling point of the surface moisture signal and mineral parameter measurement signal has a traceable time identifier, thus forming a continuous, equal-step time index sequence in the acquisition chain. This synchronous writing method allows for the recording of the entire process of external moisture changes and internal mineral responses within the same timeframe, providing complete time-series data support for subsequent time-of-flight analysis.

[0022] After synchronously writing the surface moisture signal and mineral parameter measurement signal, the time axis in the dual-time-domain acquisition chain is expanded, and the surface moisture change curve and mineral parameter response curve corresponding to each moment are mapped in parallel according to time sequence. This time expansion method ensures that the two types of signals maintain a consistent sampling interval and time marker on the time axis, thus forming a parallel dual-time-domain structure. At this point, each time node simultaneously contains the surface moisture signal value and the corresponding mineral parameter measurement value, both stored in the dual-time-domain acquisition chain with the same time index number. By continuously recording all transient changes during the external moisture change process, the dual-time-domain acquisition chain can fully reflect the dynamic change trajectory of the external environmental moisture signal and the response change trajectory of the internal physical parameters of the minerals, laying the foundation for subsequent identification of the response time difference relationship between the two.

[0023] After obtaining the complete time-expanded sequence of the dual-time-domain acquisition chain, the surface moisture signal and mineral parameter measurement signal in the time series are compared hourly to extract their correlation in terms of change trends. By comparing the direction and rate of signal change at different time points, the time periods in which the surface moisture signal change lags behind or precedes the mineral parameter response change can be identified, and the time difference between the two types of signals can be calculated. This difference reflects the delay characteristic of the internal mineral response relative to the external moisture change. To enable this delay characteristic to serve as a unified time reference for subsequent correction processing, an internal and external response time difference index is generated at the end of the time series comparison. This time difference index uses the time difference value as the core parameter to encode the delay relationship between the moisture signal and the mineral parameter response signal at each sampling moment, and is appended to the end of the dual-time-domain acquisition chain in the form of a continuous index. This ensures that the dual-time-domain acquisition chain not only contains two types of original signals but also has a time difference reference sequence for recording the difference between their responses. In this way, the time difference information from the surface to the interior can be directly mapped and recorded within the acquisition chain, enabling the subsequent correction process to dynamically locate and correct the response based on the time difference index.

[0024] After generating the internal and external response time difference index, the dual-time-domain acquisition chain is integrated using a unified time reference, logically forming a single time reference system. During integration, using the internal and external response time difference index as a benchmark, the surface moisture signal and mineral parameter measurement signal are realigned in the time dimension, ensuring that the time axes of the two types of signals form a completely corresponding set of sampling points after delay compensation. Through this process, the dual-time-domain acquisition chain is transformed from its original parallel structure into a unified time series with time difference compensation capabilities, enabling changes in mineral parameter measurement signals to accurately correspond in time to the external moisture conditions that trigger these changes. Subsequently, this integrated acquisition chain is stored as the basic input data for subsequent correction processing, serving as a time reference source for knowledge graph reasoning and correction decisions. This dual-time-domain acquisition chain structure, with time difference index as its core, enables real-time correspondence between changes in external surface moisture and changes in internal response during mineral parameter measurement. It avoids the correction offset caused by insufficient identification due to time lag in traditional methods, thus providing stable, traceable, and continuous time support for subsequent moisture impact correction. This allows the entire mineral parameter measurement and correction process to be carried out under a unified time reference, ensuring the consistency and controllability of the correction process in the time dimension.

[0025] Based on the internal and external response time difference index, the data in the dual time domain acquisition chain is expanded over time to extract the continuous segment where the mineral surface moisture signal has entered a stable state, and the slow-release segment where the mineral parameter measurement signal is still in a state of change is simultaneously marked. At the end of the time expansion, a hysteresis release marker is formed to limit the effective time range of the correction effect. Based on the internal and external response time difference index, the data in the dual-time domain acquisition chain is processed by time expansion. Through sequential operations of continuous segment extraction, slow-release segment labeling, and hysteresis release marker generation, the time range of the correction effect is physically limited and constrained. The specific steps are as follows: Based on the time difference distribution of the internal and external response time difference index, the time series recorded in the dual-time-domain acquisition chain is extended and expanded, so that each time node in the acquisition chain forms a continuous time extension band in the time dimension. Through this time expansion operation, the time correspondence between the mineral surface moisture signal and the mineral parameter measurement signal can be expanded from a single-point correspondence to a continuous time interval correspondence, so that the dynamic relationship between the internal and external responses can be fully displayed on the time axis. During the time expansion process, the surface moisture signal value and the mineral parameter measurement signal value arranged sequentially along the time axis maintain the same correspondence order as the original time difference index, thereby ensuring that each time segment after expansion can retain the original response time difference characteristics. Through this continuous time expansion, the dual-time-domain acquisition chain is transformed from a single time mapping relationship into a response distribution structure with time series continuity, providing a basis for subsequent extraction of stable and slow-release segments.

[0026] After completing the time unfolding of the dual-time-domain acquisition chain, continuity analysis was performed on the time series of the surface moisture signal to identify continuous segments where the amplitude of surface moisture signal changes remained stable within a certain time period. This process determined the time intervals where the amplitude of change was below a predetermined fluctuation range by comparing the changes in moisture signal between adjacent time nodes, and these intervals were extracted as continuous segments where the surface moisture signal entered a stable state. During the extraction process, the time index was kept consistent with the mineral parameter measurement signal, ensuring that each stable segment had a one-to-one correspondence with the mineral parameter response data in the time dimension. This allows for a clear distinction of the stage where external moisture conditions enter a stable state in time, providing a reference interval for subsequent identification of the slow-release state of the internal response. The time-unfolded sequence not only demonstrates the stabilization process of the external signal but also establishes a benchmark for the continued changes in the internal response.

[0027] Based on the identified stable segments of surface moisture signals, comparative analysis is performed on mineral parameter measurement signals under the same time index to extract time segments where mineral parameter measurement signals are still in a state of change. These time segments correspond to the stage of slow release of internal mineral moisture, i.e., a slow-release segment where surface moisture has stabilized while the internal response continues to change. During the extraction of slow-release segments, the stable segments of the surface moisture signal are used as a reference frame, and the changing trend of mineral parameter measurement signals is judged at each time node. When it is still in a state of change, this time interval is marked with an independent identifier in the time-expanded structure. In this way, the temporal location of both the external stable moisture segment and the internal slow-release segment can be obtained simultaneously in the dual-time-domain acquisition chain after time-expanding, allowing for synchronous recording of external and internal temporal behaviors. Because the time sequence order is maintained consistently with the internal and external response time difference index during time-expanding, the annotation of the slow-release segment can naturally continue the original response relationship, forming a complete temporal extension logic. The core of this step lies in identifying the persistence of internal changes through time-series comparison, enabling the internal slow-release effect to be intuitively marked in the dual-time-domain acquisition chain, thus providing a direct basis for subsequent correction range limitation.

[0028] After identifying the stable segment of the surface moisture signal and the slow-release segment of the mineral parameter measurement signal, the time-expanded structure of the dual-time-domain acquisition chain is integrated. At the end of the time-expanding, a hysteresis release marker is formed based on the overlap between the two types of segments. The hysteresis release marker uses time nodes as the basic unit, comparing the end point of the stable surface moisture signal segment with the attenuation end point of the slow-release mineral parameter measurement signal segment to calculate the time span between them. This time span is then written as the core parameter of the hysteresis release marker at the end of the time-expanded sequence. Through the generation of this hysteresis release marker, the dual-time-domain acquisition chain acquires the ability to identify the time delay of the difference between internal and external responses. This marker not only reflects the delay characteristics of the internal mineral response relative to the external moisture state but also defines the effective time range of the correction effect. In subsequent correction processing, the hysteresis release marker can be used as a basis to limit the correction effect to the slow-release stage before the internal response has completely decayed, avoiding continuous triggering of the correction operation after the surface moisture has stabilized. By using this process, which is based on time unfolding and terminated by a delayed release marker, the entire data unfolding and annotation process forms a physically self-consistent temporal logic. This allows the correction process to be carried out within a clear time boundary, thereby ensuring that the correspondence between the moisture impact correction process and the actual response inside the mineral remains continuous and controllable. Ultimately, the time range of the correction effect is clearly defined and matched with the actual slow-release process inside the mineral, realizing the temporal constraint and dynamic control of the correction behavior under external steady-state conditions.

[0029] By using delayed release markers, the correlation between moisture and mineral parameters in the knowledge graph is adjusted in segments. This ensures that the stable segment of the mineral surface moisture signal is used only as the correction boundary constraint input, while the slow-release segment is used as the main correction input line. When the correlation adjustment is completed, the slow-release succession sequence is output to determine the succession order of the correction amplitude. After completing the time unfolding and forming the hysteresis release markers, in order to structurally reconstruct the relationship between the stable segment of the mineral surface moisture signal and the slow-release segment inside the mineral in the knowledge graph, thereby realizing the segmented execution of the correction effect in the temporal and logical dimensions, the correlation between moisture and mineral parameters in the knowledge graph is adjusted segmentally through the hysteresis release markers. This process uses the hysteresis release markers as time boundary references. Through the sequential operations of reconstructing the correlation input path, redefining the correction input weights, and generating the slow-release succession sequence, the knowledge graph can accurately express the succession relationship of the influence of moisture state on mineral parameter measurement results in different time segments, thus establishing a dynamic connection chain for the correction amplitude. The specific steps are as follows: Using the delayed release marker as the time division benchmark, the original moisture and mineral parameter association structure in the knowledge graph is temporally layered. By calling the time span of the delayed release marker recorded in the dual-time-domain acquisition chain, the associated nodes in the knowledge graph are rearranged according to chronological order, so that the nodes corresponding to the stable segment of surface moisture signal and the nodes corresponding to the slow-release segment of minerals form two continuous but distinct relationship chains in structure. In this process, the originally unified moisture-mineral parameter association path is distinguished into a surface moisture stable segment association layer and an internal slow-release segment association layer, which are connected by the time parameter of the delayed release marker, making the time dimension the organizational benchmark of the knowledge graph association structure. Through this layering method, the knowledge graph forms a temporally partitioned expression in structure, so that the surface moisture state and the internal slow-release state are independently defined in data expression, laying the structural foundation for subsequent segmentation adjustments.

[0030] After completing the temporal layering of the knowledge graph, the node relationships within the stable surface moisture signal segment are used as a starting point to constrain their scope of influence in the knowledge graph. This ensures that the stable surface moisture segment only serves as a correction boundary constraint input in the correction logic. To achieve this, attribute information of all associated nodes within the stable surface moisture signal segment is extracted along the time axis, including moisture state characteristics, external environmental conditions, and mineral surface response characteristics. These nodes are then restricted in the knowledge graph to extend only in the temporal direction and not participate in weight propagation within the slow-release segment.

[0031] It should be noted that, through this constraint method, the function of the stable region of surface moisture signal in the knowledge graph is limited to the correction boundary input, that is, it is only used to define the starting and boundary conditions of the correction effect, and no longer directly drives the change of the correction quantity. This process allows the knowledge graph to retain the reference role of the external moisture state in its structure, while avoiding its interference with the internal slow-release response, thereby providing an independent action space for the correction input of the internal slow-release region.

[0032] After the stable segment of the surface moisture signal is defined as the correction boundary constraint input, the internal slow-release segment of the mineral is reconstructed in the knowledge graph as the main correction input line using the time span marked by the hysteresis release marker. Specifically, using the time index of the slow-release segment as a clue, the moisture influence relationship and the mineral parameter change relationship at each time node are sequentially connected along the time direction, so that the knowledge graph forms a continuous path from the external stable state to the internal slow-release state in the time dimension. In this process, each time node of the slow-release segment uses the delay parameter of the hysteresis release marker as the access condition, so that it gradually replaces the input role of the stable segment of the surface moisture signal in the knowledge graph. In this way, the influence of the surface moisture state gradually withdraws in time, while the influence of the internal slow-release state gradually takes over in time, so that the relationship between moisture and mineral parameters in the knowledge graph has a dynamic succession characteristic. Through this time-extended reconstruction, the knowledge graph can structurally reflect the transmission process of moisture influence from the outside to the inside, achieving a consistent correspondence between the correction input mainline and the actual physical slow-release process, so that the subsequent correction output can keep pace with the continuous changes in the internal response of the mineral.

[0033] After reconstructing the main input line for the internal slow-release sections, the temporal relationships in the knowledge graph are organized, and a slow-release succession sequence is output upon completion of the relationship adjustment. Based on a time index, the slow-release succession sequence arranges the connections between changes in moisture state and mineral parameters at each time point in sequence, forming a time chain describing the order of correction magnitude transmission. This time chain clarifies how the correction magnitude shifts along the time direction at each moment during the correction process, thus providing a precise succession sequence for the correction process. In outputting the slow-release succession sequence, the delayed release marker parameters from the previous stage and the temporal distribution of the internal slow-release sections are combined to ensure that the succession sequence reflects both the temporal sequence and the progressive law of moisture influence from strong to weak.

[0034] In this way, the originally static moisture-mineral parameter relationship in the knowledge graph is transformed into a dynamic connection with time-extended attributes, enabling temporal alignment and sequential connection between changes in correction amplitude and the slow-release process of the mineral's internal response. Ultimately, the knowledge graph structurally completes the transition from static association to dynamic segmented association, allowing stable segments of the mineral surface moisture signal to only serve as boundary constraints, while the slow-release segments inside the mineral become the dominant path for correction input. The output slow-release sequence provides a unified temporal connection rule for subsequent correction operations, enabling the entire correction process to unfold continuously under physical-temporal logic, thereby achieving temporal expression and segmented control of the impact on moisture.

[0035] Based on the slow-release sequence, the writing rhythm of the mineral parameter measurement correction is rearranged, the mineral parameter measurement correction is divided into multiple progressive correction segments, and the progressive correction segments are applied sequentially according to the slow-release sequence. When the progressive correction is completed, a reverse occupancy control aperture is generated to limit the continuous intervention of the stable segment of the mineral surface moisture signal in the correction process. After completing the segmented adjustment of moisture and mineral parameters in the knowledge graph and outputting the slow-release sequence, to ensure the correction process remains consistent with changes in the slow-release state within the minerals and to achieve step-by-step application and dynamic connection of correction amounts over time, the writing rhythm of mineral parameter measurement correction amounts is sequentially rearranged based on the slow-release sequence. This process, through segmented decomposition of correction amounts, progressive application, and continuous operation of reverse control constraints, allows mineral parameter measurement correction to gradually advance during the slow-release process of the internal response. Upon completion of correction, a reverse occupancy control caliber is generated to suppress the continuous intervention of stable segments of the surface moisture signal in the correction process, ensuring that the correction operation only ends with the natural decay of the internal response. The specific steps are as follows: Based on the time sequence defined in the sustained-release sequence, the original mineral parameter measurement correction quantities are decomposed into time segments. By dividing the overall correction quantity according to the chronological relationship of each time node in the sustained-release sequence, the correction quantity can correspond to different sustained-release stages in the time dimension. The duration of each sustained-release stage is consistent with the corresponding time interval in the sustained-release sequence, so that the segmented correction quantity can correspond to the specific internal response state of the mineral in time. During the segmentation process, the continuity and consistency of the correction quantity are maintained, that is, all correction segments after segmentation can be numerically traced back to the overall correction quantity. In this way, a one-to-one correspondence between the correction quantity and the internal sustained-release response can be established in the time dimension, so that each correction quantity has a clear application range and duration in time, providing an orderly basis for subsequent sequential application.

[0036] After obtaining the segmented correction values, the writing rhythm of the correction values ​​is sequentially rearranged according to the chronological order of the slow-release sequence. Guided by the time markers of the slow-release sequence, the correction segments are arranged sequentially from the start to the end of the slow-release phase, ensuring that the direction of correction application aligns with the internal slow-release evolution. During this process, the application of correction segments from the previous stage is completed before moving to the next stage, ensuring that the application time of each correction segment does not overlap with other segments, thus avoiding the superposition or interference of correction values ​​in the time dimension. Through this sequential rearrangement, the application rhythm of mineral parameter measurement correction values ​​is transformed from a holistic application to a phased progression, allowing the correction operation to proceed gradually over time rather than being completed all at once. The writing process of the sequentially rearranged correction values ​​strictly follows the chronological rules of the slow-release sequence, ensuring that the correction operation changes synchronously with the internal slow-release state in physical time, thereby structurally forming a time-driven progressive correction logic.

[0037] After the rearranged correction fragments form a time series, each progressive correction fragment is applied sequentially according to the slow-release succession sequence. The application of each correction fragment begins with the end time of the previous fragment, using the corresponding time interval in the slow-release succession sequence as the effective period, thus ensuring a continuous progressive characteristic in the application process. During application, the writing of each correction fragment is synchronized with the time node of the internal slow-release state, ensuring the correction effect occurs while the internal response is still in a state of change. Once one correction fragment is applied, the next stage of correction fragment application begins immediately, creating an ordered succession relationship in the entire correction process. Through this sequential application method, the change path of the correction amount accurately corresponds to the natural evolution path of the internal slow-release response, thus avoiding response shifts caused by excessively fast or slow overall correction. The result of progressive application is that the correction amount is evenly distributed in the time dimension, allowing the correction operation to gradually weaken as the internal slow release decays, achieving a time transition from strong to weak, and ensuring a dynamic balance between the correction process and the internal response of the mineral.

[0038] After all the shifting correction segments are applied, a reverse occupancy control caliber is generated based on the final time period of the slow-release sequence to limit the continued intervention of the stable segment of the mineral surface moisture signal in the correction process. The reverse occupancy control caliber is generated with the end time of the correction process as a reference. The time extension range of the stable segment of the surface moisture signal during the correction process is compared with the end time of the internal slow-release segment to identify the overlap range on the time axis. The reverse occupancy control caliber is established based on the length of this overlap range. The function of this control caliber is to gradually weaken the influence of the surface moisture signal on the correction trigger after it enters the stable segment in time, preventing the correction process from being repeatedly activated by external stable signals. Through this reverse occupancy method, the continued occupancy of the correction trigger path by the surface signal can be blocked after the correction operation is completed, thereby preventing external stable signals from re-intervening in the correction process in subsequent time periods. Finally, the mineral parameter measurement correction terminates naturally after the internal slow-release response has completely decayed, and the influence of the stable segment of the surface moisture signal is controlled outside the effective time range. By generating and applying this reverse occupancy control caliber, the correction process is structurally self-terminating, ensuring stable output of mineral parameter measurement results in the time dimension, while maintaining natural consistency with the internal slow-release process, achieving dynamic isolation between the external stable signal and the internal slow-release response, thereby forming a shift correction mechanism with clear time constraints and accurate response.

[0039] Based on the reverse occupancy control caliber introduction time reverse blanking breathing traction method, the correction trigger source is suppressed in the stable section of the mineral surface moisture signal, and the shift correction segment is released segment by segment along the slow release sequence, so that the mineral parameter measurement correction process is naturally completed as the slow release section changes. After the shift correction segment is applied and the reverse occupancy control aperture is generated, in order to further ensure that the mineral parameter measurement correction process is consistent with the dynamic process of the slow-release response inside the mineral, and to gradually achieve the natural decay and orderly termination of the correction effect after the surface moisture signal enters the stable section, a time-reverse fading breathing traction method is introduced based on the reverse occupancy control aperture in the specific implementation. By suppressing the correction trigger source, establishing a time-reverse release path, and realizing the dynamic regression of the correction process, the correction behavior can naturally fade over time with the change of the slow-release state inside the mineral, thereby ensuring that the mineral parameter measurement results achieve a smooth transition in a stable external environment. The specific steps are as follows: Using the reverse occupancy control aperture as a time constraint, the extension range of the stable segment of the mineral surface moisture signal on the time axis is determined, and a correction trigger inhibition zone is established within this range. By analyzing the time span recorded in the reverse occupancy control aperture and the termination time of the slow-release sequence, the stable stage of the surface moisture signal is precisely located. The correction trigger signal path within this time period is gradually closed, so that external moisture signals no longer trigger the correction process within the stable segment. At this time, the trigger source of the correction process only retains the time path corresponding to the slow-release segment inside the mineral, thus forming an internally dominant and externally restricted triggering mechanism. Through this time-constrained inhibition method, the surface moisture signal can be effectively prevented from repeatedly intervening in the correction process in a stable state, avoiding unnecessary correction writes under stable external environmental conditions. The correction behavior is reverse-constrained from the time starting point, forming a controlled time window and providing boundary conditions for the subsequent breathing traction process.

[0040] After establishing the correction trigger suppression region, the time progression direction of the correction process is transformed from forward progression to reverse regression based on the time parameters of the reverse occupancy control aperture. In this stage, a time-reverse release path is defined through the reverse occupancy control aperture, causing the release direction of the correction effect to start from the end of the slow-release sequence and trace back along the time axis to the starting segment. This process is equivalent to performing a reverse decay traction in the time dimension, causing the correction amount to be released gradually in a decreasing manner within the stable segment of the surface moisture signal, thereby achieving temporal blanking of the correction energy. Through this reverse time progression method, the correction amount is not immediately cleared in time, but rather achieves smooth regression through continuous decay, ensuring that the internal slow-release response remains coordinated with the stabilization process of the external moisture state at the energy level. The establishment of this reverse release path makes the correction behavior time-reversible, meaning that the correction operation can naturally converge as the internal response weakens without requiring a forced termination by an external control signal, thus giving the correction process adaptive time blanking characteristics.

[0041] After establishing the time-reverse release path, progressive correction segments are released segment by segment along the slow-release sequence. Guided by the order of time nodes in the slow-release sequence, the process releases previously accumulated correction segments sequentially from the end of the time-reverse path, ensuring the release rhythm of the correction amount matches the decay rate of the internal slow-release response. Within each time period, the number and amplitude of released correction segments match the slow-release state of that stage, allowing the correction process to gradually weaken in a breathing rhythm. Once the correction segments for one time period are released, the process automatically enters the reverse release phase of the previous slow-release segment, until all correction segments are released segment by segment in time. Throughout this process, the direction of correction release is always consistent with the time-reverse direction of the slow-release process, creating a breathing traction effect. That is, the release of correction amount alternates with the natural degradation of the mineral's internal response, resulting in a rhythmic dynamic decline throughout the correction process. Through this segment-by-segment release method along the slow-release sequence, the correction effect no longer terminates abruptly in time, but rather gradually and smoothly fades with the energy decay of the slow-release segment, thus avoiding parameter jumps caused by excessively rapid correction termination and maintaining the continuity and stability of mineral parameter measurement results.

[0042] After all the shifting correction segments have been released along the reverse time path, the time window for the correction process is closed. The correction process is stopped at the end of the time frame for reverse occupancy of the control aperture, allowing the mineral parameter measurement correction process to naturally recede and complete as the slow-release segment changes. In this stage, the time-reverse fading breathing traction method achieves natural termination of the correction process through the gradual contraction of the time window. That is, as the internal slow-release response completely fades, the correction process automatically returns to zero, and no new correction operations are performed. At this point, the effect of the stable segment of the surface moisture signal is completely isolated, and the influence of the internal response segment disappears with time, restoring the entire mineral parameter measurement process to a state of equilibrium without correction intervention. Through this self-terminating reverse traction method, the orderly convergence of the correction process can be achieved without relying on external control, ensuring long-term stability of mineral parameter measurements after the slow release ends. Ultimately, this time-reverse culling breathing traction method enables the temporal behavior of the correction process to evolve synchronously with the internal physical slow-release behavior of the mineral. Through the triple synergy of suppressing external triggers, reverse releasing the correction amount, and dynamically regressing the correction process, the correction operation naturally completes self-culling and self-termination in the time dimension, forming a correction mechanism with coordinated internal and external responses and a time-series closed-loop self-stabilization, thereby ensuring that the mineral parameter measurement results remain consistent and controllable throughout the entire time domain.

[0043] This invention constructs a dual-time-domain acquisition chain and generates an internal and external response time difference index, enabling synchronous correspondence between mineral surface moisture signals and mineral parameter measurement signals in the time dimension. This allows for the identification of stages where the external moisture state is stable while the internal response is still undergoing slow-release changes. By forming a hysteresis release marker after time unfolding, the time boundary of the correction effect is effectively defined, allowing the correction process to proceed according to the actual internal response rhythm. This avoids situations where correction continues to be triggered after the moisture signal has stabilized, fundamentally reducing over-adjustment in the time dimension and ensuring the continuity and stability of mineral parameter measurement results in the time series.

[0044] This invention achieves dynamic adjustment and self-closing control of the correction process through a progressive correction based on a slow-release sequence and reverse occupancy control. This allows the correction amount to be gradually released and naturally decay as the slow-release response within the mineral changes. Through a time-reverse closing breathing traction method, the correction process can gradually exit after the surface moisture stabilizes, ensuring the measurement system remains dynamically consistent with the internal response process. The parameter output transitions smoothly at the end of the correction, thereby improving the reliability and long-term stability of mineral parameter measurement results.

[0045] 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 correcting the influence of moisture content on mineral parameter measurement based on knowledge graphs, characterized in that, Includes the following steps: A dual-time-domain acquisition chain is constructed around the mineral parameter measurement and correction. The surface moisture signal of minerals and the mineral parameter measurement signal are synchronously written into the dual-time-domain acquisition chain, and an internal and external response time difference index is generated at the end of the dual-time-domain acquisition chain. Based on the internal and external response time difference index, the data in the dual time domain acquisition chain is expanded over time to extract the continuous segment where the mineral surface moisture signal has entered a stable state, and the slow-release segment where the mineral parameter measurement signal is still in a state of change is simultaneously marked, forming a hysteresis release marker at the end of the time expansion. By using delayed release markers, the correlation between water and mineral parameters in the knowledge graph is adjusted in segments. This ensures that the stable segment of the mineral surface water signal is used only as the input for correction boundary constraints, while the slow-release segment is used as the main line for correction input. The slow-release sequence is output when the correlation adjustment is completed. Based on the slow-release sequence, the writing rhythm of the mineral parameter measurement correction is rearranged, the mineral parameter measurement correction is divided into multiple shift correction segments, and the shift correction segments are applied sequentially according to the slow-release sequence. When the shift correction is completed, a reverse occupancy control caliber is generated. Based on the reverse occupancy control caliber introduction time reverse silencing breathing traction method, the source of correction is suppressed in the stable segment of the mineral surface moisture signal, and the shift correction segment is released segment by segment along the slow release sequence.

2. The method for correcting the influence of moisture content on mineral parameter measurement based on knowledge graphs according to claim 1, characterized in that, The steps for generating the internal and external response time difference index are as follows: The sensing signal used to detect the surface moisture state of minerals and the response signal used to detect changes in mineral parameters are synchronously connected to the input end of the dual time domain acquisition chain to establish a surface moisture signal acquisition channel and a mineral parameter measurement signal acquisition channel. Acquisition is started at a unified trigger time to ensure time correspondence. After completing the synchronous writing, the time axis of the dual-time domain acquisition chain is expanded, and the surface moisture change curve and the mineral parameter response curve are mapped in parallel to form a dual-time domain parallel structure. After time expansion, the surface moisture signal and mineral parameter measurement signal are compared hourly to extract the correlation between their changing trends and generate an internal and external response time difference index. The time difference relationship is then appended to the end of the acquisition chain. Based on the internal and external response time difference index, the dual time domain acquisition chain is integrated with the time reference, so that the surface moisture signal and the mineral parameter measurement signal form a unified time reference system after delay compensation.

3. The method for correcting the influence of moisture content on mineral parameter measurement based on knowledge graphs according to claim 2, characterized in that, Using the internal and external response time difference index as a unified reference, the surface moisture signal and mineral parameter measurement signal are realigned in the time dimension, and a continuous set of sampling points is formed through delay compensation, so that the dual time domain acquisition chain has the ability to compensate for time difference.

4. The method for correcting the influence of moisture content on mineral parameter measurement based on knowledge graphs according to claim 2, characterized in that, The steps for generating the delayed release marker are as follows: Based on the time difference distribution of the internal and external response time difference index, the time series in the dual time domain acquisition chain is extended and expanded so that each time node forms a continuous time extension band in the time dimension while maintaining the original response time difference characteristics. After time expansion, a continuous analysis of the time series of surface moisture signals was performed to identify continuous segments where the variation amplitude of surface moisture signals remained stable and to correlate them with the formation time of mineral parameter measurement signals. Based on the stable segment of surface moisture signal, the mineral parameter measurement signals are compared and analyzed, and the time segment that is still in a state of change is extracted as the slow-release segment and marked in the time expansion structure. After identifying the stable and slow-release segments, the time-spread structure is integrated, and a hysteresis release marker is formed based on the overlap relationship between the two types of segments, thus defining the effective time range of the correction effect.

5. The method for correcting the influence of moisture content on mineral parameter measurement based on knowledge graphs according to claim 4, characterized in that, The time span is calculated by comparing the end point of the stable segment of the surface moisture signal with the attenuation end point of the slow-release segment of the mineral parameter measurement signal. The time span is then written as the core parameter of the hysteresis release marker at the end of the time-expanded sequence, enabling the time-expanded structure to have the ability to identify the time delay of the internal and external response differences and to define the time boundary of the correction effect.

6. The method for correcting the influence of moisture content on mineral parameter measurement based on knowledge graphs according to claim 4, characterized in that, The steps for outputting the sustained-release sequence are as follows: Using the delayed release marker as the time division benchmark, the relationship structure between water and mineral parameters in the knowledge graph is divided into temporal layers, so that the stable segment of surface water signal and the slow-release segment inside the mineral form a continuous but distinct relationship chain. After completing the time stratification, the node relationship of the stable section of the surface moisture signal is taken as the starting point, and its range of influence is constrained so that the stable section of the surface moisture signal is only used as the correction boundary constraint input to participate in the correction logic. By using the time span indicated by the delayed release markers, the slow-release segments inside the mineral are reconstructed in the knowledge graph as the main correction input, so that the water influence relationship is sequentially connected along the time direction; After completing the reconstruction of the internal slow-release section, the time sequence relationship is organized, and the slow-release succession sequence is output when the correlation adjustment is completed to determine the succession order of the correction magnitude.

7. The method for correcting the influence of moisture content on mineral parameter measurement based on knowledge graphs according to claim 6, characterized in that, When outputting the slow-release sequence, the time parameter of the delayed release marker is used as a constraint condition. The connection relationship between the changes in moisture state and mineral parameters at each time node in the slow-release section is arranged in chronological order, so that the slow-release sequence can achieve a continuous transition in the time dimension.

8. The method for correcting the influence of moisture content on mineral parameter measurement based on knowledge graphs according to claim 6, characterized in that, The steps for generating the reverse occupancy control caliber are as follows: Based on the time sequence defined in the slow-release sequence, the mineral parameter measurement correction is decomposed into time segments so that each correction corresponds to a specific slow-release stage in the time dimension and maintains continuity and overall consistency. After obtaining the segmented correction amount fragments, the writing rhythm of the correction amount is rearranged according to the time order of the sustained-release sequence, so that the correction operation proceeds sequentially with the internal sustained-release evolution direction. The shift correction segments are applied sequentially according to the slow-release sequence, so that the correction effect is carried out during the time period when the internal response is still in a state of change and a continuous shift characteristic is formed. After the shift correction segment is applied, a reverse occupancy control caliber is generated based on the final time period of the sustained-release sequence.

9. The method for correcting the influence of moisture content on mineral parameter measurement based on knowledge graphs according to claim 6, characterized in that, The reverse occupancy control caliber is generated with the end of the correction process as a reference. The time extension range of the stable section of the surface moisture signal is compared with the end time of the internal slow-release section. The reverse occupancy control caliber is established based on the overlap range of the two on the time axis, so that the surface moisture signal gradually weakens its influence on the correction trigger after entering the stable section.

10. The method for correcting the influence of moisture content on mineral parameter measurement based on knowledge graphs according to claim 8, characterized in that, Based on the reverse occupancy control caliber introduction time-reverse silencing breathing traction method, the following steps are taken to suppress the correction trigger source in the stable segment of the mineral surface moisture signal and release the shift correction fragment segment by segment along the sustained-release sequence: Based on the reverse occupancy control caliber as the time constraint, the time extension range of the stable section of the mineral surface moisture signal is determined and a correction trigger suppression zone is established so that the external moisture signal no longer generates a new correction trigger effect within the stable section. Based on the time parameters of the reverse occupancy control aperture, the time advancement direction of the correction process is changed from forward progression to reverse regression, and a time reverse release path is established along the time axis to achieve temporal blanking of the correction energy; The correction fragments are released segment by segment along the sustained-release sequence, so that the release rhythm of the correction amount is consistent with the decay rate of the sustained-release response inside the mineral and a breathing traction effect is formed. After all the shifting correction segments have been released along the reverse time path, the correction process time window is closed, allowing the correction process to naturally recede and complete as the slow-release segment changes.

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