Hydrogeological feature acquisition method and system based on real-time parameters

Abstract

The invention relates to the technical field of intelligent sensing and real-time parameter processing, in particular to a hydrogeological feature acquisition method and system based on real-time parameters. The method comprises the following steps: deploying an intelligent sensing node to trigger a reference disturbance window according to a preset rhythm so as to apply controllable reference disturbance to a real-time parameter acquisition channel, acquiring disturbance parameter response of the reference disturbance window under the controllable reference disturbance, and generating a disturbance response template and an acquisition section; collecting disturbance hydrogeological parameters; calculating a time sequence structure corresponding relation, and generating a structure consistency parameter associated with the acquisition section; generating a semantic degradation result, and stopping data writing of the current collection section when the semantic degradation result meets a collection section termination condition; the acquisition sections are divided into available acquisition sections and unavailable acquisition sections, and all the available acquisition sections are used as structured real-time acquisition results of hydrogeological features; according to the invention, the hydrogeological feature real-time acquisition method based on active reference disturbance and semantic determination of the acquisition section is realized.

Description

Technical Field

[0001] This invention relates to the field of intelligent sensing and real-time parameter processing technology, specifically to a method and system for acquiring hydrogeological features based on real-time parameters. Background Technology

[0002] In the field of hydrogeological monitoring technology, hydrogeological feature acquisition is a crucial foundation for groundwater dynamic analysis, geological hazard monitoring, and engineering safety assessment. It typically involves deploying intelligent sensor nodes in the monitoring area to continuously sample hydrogeological parameters such as groundwater level, pore water pressure, seepage pressure, conductivity, and temperature. Real-time parameter acquisition channels are formed through data acquisition control, communication links, and time-series management to obtain time-series data reflecting groundwater changes. Existing hydrogeological feature acquisition technologies generally focus on increasing sampling frequency, enhancing sensor accuracy, and improving multi-parameter synchronous acquisition capabilities. At the data level, methods such as filtering, smoothing, outlier removal, or multi-feature combination analysis are used to characterize the dynamic processes, stage-specific changes, and spatial distribution characteristics of groundwater. In actual monitoring of long-term dynamic changes in groundwater, the real-time acquisition of hydrogeological features commonly suffers from irreversible drift of the acquired semantics with each operational stage. This leads to a complex problem of generating false process features and misjudging multiple feature combinations. This type of problem is not due to a single parameter anomaly or instantaneous switching failure, but rather a systemic risk caused by the gradual deviation of the acquired semantics from the original physical reference conditions during continuous operation. Specifically, during the continuous rise or fall of groundwater levels, the measurement environment of the intelligent sensing node undergoes a continuous evolution process, from a stable water column environment to an environment with drastic changes in water column height and an unstable gas-liquid interface, and then to another stable state. This results in a lack of clear transitions in the acquired semantics. The irreversible drift over time caused by changing time points leads to changes in the credible physical meaning of the same numerical change curve at different time periods. Furthermore, it can create false dynamic process characteristics in real-time analysis, making the changes in seemingly dynamic processes, lag characteristics, or stage characteristics originate from the offset of measurement reference conditions rather than the actual behavior of groundwater. At the same time, in multi-feature combined acquisition, the drift error is amplified rather than canceled, which manifests as the water level change process being contaminated, the spatial gradient being amplified, the lag characteristics being stretched, and the depth difference being falsified. As a result, traditional real-time acquisition methods that focus on outlier removal, offline calibration, or single-parameter stability assumptions are unable to constrain the semantic validity of the acquisition during the acquisition phase. Summary of the Invention

[0003] The purpose of this invention is to provide a method and system for acquiring hydrogeological features based on real-time parameters, in order to solve the complex problems mentioned in the background art, such as the irreversible drift of acquisition semantics during the real-time acquisition of hydrogeological features, which leads to the generation of false process features and misjudgment of multiple feature combinations.

[0004] To achieve the above objectives, the technical solution of the present invention is: a method for acquiring hydrogeological features based on real-time parameters, comprising: S1. Deploy intelligent sensing nodes at the target monitoring point, establish a real-time parameter acquisition channel, and perform parameter acquisition operations according to a preset sampling period during the initialization period; trigger a reference disturbance window according to a preset rhythm to apply a controllable reference disturbance to the real-time parameter acquisition channel, obtain the disturbance parameter response of the reference disturbance window under the controllable reference disturbance, generate a disturbance response template corresponding to each intelligent sensing node based on the disturbance parameter response, generate an acquisition segment based on the disturbance response template, and bind the disturbance response template to the acquisition segment. Among them, the preset rhythm is a predefined set of reference disturbance triggering rules used to control the triggering timing of the reference disturbance window; the reference disturbance window is a timing interval in the real-time parameter acquisition channel used to apply controllable reference disturbances and obtain disturbance responses; the controllable reference disturbance is a controlled disturbance operation applied to the real-time parameter acquisition channel without changing the basic operating conditions of the acquisition channel; and the acquisition segment is an acquisition lifecycle unit that allows continuous writing of acquisition parameters under the same acquisition semantic reference conditions. S2. During the data acquisition period, each intelligent sensing node continuously acquires hydrogeological parameters within the acquisition segment, and triggers a reference disturbance window to acquire disturbed hydrogeological parameters according to a preset rhythm; calculates the temporal structure correspondence between the disturbed hydrogeological parameters and the disturbance response template bound to the acquisition segment, and generates structural consistency parameters associated with the acquisition segment. Among them, the temporal structure correspondence is the result of the process of aligning the temporal structure of the disturbance parameter response and the disturbance response template under the disturbance triggering condition and calculating the correspondence. S3. Based on the structural consistency parameters, perform semantic state determination on the acquisition segment to generate semantic degradation results. When the semantic degradation results meet the acquisition segment termination conditions, stop the data writing of the current acquisition segment and perform segmentation to generate a new acquisition segment. Write the semantic degradation results, structural consistency parameters and reference disturbance window into the terminated acquisition segment and bind the disturbance response template to the new acquisition segment. Among them, semantic state is the status indicator of whether the acquisition parameters in the current acquisition segment still meet the predetermined acquisition semantic reference conditions; semantic degradation result is the degradation judgment result obtained after judging the semantic state of the acquisition segment based on the structural consistency parameter; acquisition segment termination condition is the judgment condition that terminates the data writing of the current acquisition segment when the semantic degradation result meets the predetermined judgment rule. S4. Output all acquisition segments according to the acquisition segment identifier, as well as the reference disturbance window, structural consistency parameters, and semantic degradation results corresponding to each acquisition segment; divide the acquisition segments into usable acquisition segments and unusable acquisition segments based on the semantic degradation results, and use all usable acquisition segments as structured real-time acquisition results of hydrogeological features. Among them, the available acquisition segment is the acquisition segment that has not undergone semantic degradation in the semantic state determination and meets the acquisition semantic reference conditions; the unavailable acquisition segment is the acquisition segment that has undergone semantic degradation in the semantic state determination and no longer meets the acquisition semantic reference conditions.

[0005] Preferably, in step S1, the reference disturbance window is a timing acquisition interval determined by the trigger time sequence. The timing acquisition interval is defined by the window start index and the window end index, which are used to define the application interval of the controllable reference disturbance and the acquisition interval of the disturbance parameter response. The method of triggering the reference disturbance window according to a preset rhythm to apply controllable reference disturbance to the real-time parameter acquisition channel includes: performing a controlled disturbance sequence injection operation on the real-time parameter acquisition channel within the interval from the start index to the end index of each reference disturbance window; the disturbance parameter response is the sequence of acquisition parameters within the reference disturbance window relative to the reference acquisition parameter response before the reference disturbance window; the method of obtaining the disturbance parameter response includes: calculating the reference acquisition parameter response sequence within a preset reference interval before the start index of the reference disturbance window, forming a disturbance acquisition parameter sequence within the reference disturbance window, and performing differential mapping and timing alignment processing on the disturbance acquisition parameter sequence and the reference acquisition parameter response sequence to obtain the disturbance parameter response.

[0006] Preferably, in step S1, the disturbance response template is a template data object used to characterize the disturbance parameter response structure of the intelligent sensing node within the reference disturbance window; wherein, the template data object includes a response structure marker set, a response key point index set, and a response allowable offset boundary set; the method for generating a disturbance response template corresponding one-to-one with each intelligent sensing node based on the disturbance parameter response includes: aggregating multiple sets of disturbance parameter responses acquired during the initialization period, performing time-series alignment processing on each set of disturbance parameter responses based on the response key point index set, generating a node template response sequence based on the aligned parameter change sequence, and generating a response allowable offset boundary set based on the key point index distribution and parameter change distribution of multiple sets of disturbance parameter responses, thereby forming a disturbance response template corresponding one-to-one with the intelligent sensing node identifier.

[0007] Preferably, in S1, the acquisition segment is a segmented acquisition data object associated with the smart sensor node identifier; the segmented acquisition data object includes an acquisition segment identifier, an acquisition segment start index, an acquisition segment write status identifier, a reference disturbance window index set, and a disturbance response template identifier; wherein, the acquisition segment write status identifier is used to indicate whether data writing to the acquisition segment is allowed; the method for generating an acquisition segment based on the disturbance response template includes: after generating the disturbance response template, creating an acquisition segment identifier corresponding to the node identifier for each smart sensor node and writing it to the acquisition segment start index, initializing the acquisition segment write status identifier to the write allowed state, writing the disturbance response template identifier to the acquisition segment and establishing a binding relationship between the acquisition segment identifier and the disturbance response template identifier, and simultaneously initializing the reference disturbance window index set for subsequent recording of reference disturbance windows triggered within the runtime segment.

[0008] Preferably, in step S2, the process of triggering the reference disturbance window to collect disturbed hydrogeological parameters according to a preset rhythm is a runtime disturbance triggering process, which specifically includes: during the data collection runtime, performing phase remapping on the preset rhythm based on the current data collection segment start index to generate a runtime triggering time sequence aligned with the data collection segment; based on the runtime triggering time sequence, triggering the reference disturbance window without changing the data collection segment's written status identifier; and within each runtime reference disturbance window, collecting the corresponding disturbed hydrogeological parameters through the real-time parameter acquisition channel and writing them into the current data collection segment.

[0009] Preferably, in step S2, the temporal structure correspondence describes the correspondence between the disturbed hydrogeological parameter response and the disturbance response template bound to the acquisition segment in terms of the order and index position of key response events. The temporal structure correspondence is used to determine whether the disturbance parameter response during the operation period meets the structural constraints defined by the disturbance response template. The data structure of the temporal structure correspondence is a correspondence mapping structure, including index mapping pairs between template key point indices and operation period key point indices, stage order matching identifiers, and stage span difference identifiers. The method for calculating the temporal structure correspondence between the disturbed hydrogeological parameters and the disturbance response template bound to the acquisition segment includes: identifying the operation period response key point index of the disturbed hydrogeological parameters within the operation period reference disturbance window; performing index registration on the operation period response key point index based on the response key point index set in the disturbance response template; verifying the order consistency of the operation period response key point index according to the stage order rules defined by the response structure tag set; and writing the index registration result, order verification result, and stage span difference result into the correspondence mapping structure to form a temporal structure correspondence.

[0010] Preferably, in step S2, the structural consistency parameters are a set of parameters that measure the degree of matching between the disturbance hydrogeological parameter response and the disturbance response template under the temporal structural correspondence. The structural consistency parameters are used as the input basis for determining the semantic state of the acquisition segment. The structural consistency parameters include key point index offset parameters, stage sequence consistency parameters, and stage span offset parameters. The association between the structural consistency parameters and the acquisition segment is as follows: the structural consistency parameters are written as segment-level attributes into the acquisition segment data object, and the acquisition segment identifier is used as the index key to establish a one-to-one correspondence between the structural consistency parameters and the acquisition segment, so that the structural consistency parameters are updated and appended as the acquisition segment state changes during the acquisition segment's lifecycle.

[0011] Preferably, in step S3, the semantic state determination is a process of determining whether the semantics corresponding to the current acquisition segment still meets the disturbance response template constraint conditions based on the structural consistency parameters associated with the acquisition segment, used to generate a semantic degradation result characterizing the semantic change state of the acquisition segment; the method for generating a semantic degradation result by performing semantic state determination on the acquisition segment based on the structural consistency parameters includes: reading the structural consistency parameters associated with the current acquisition segment identifier; comparing the key point index offset parameter, stage sequence consistency parameter, and stage span offset parameter in the structural consistency parameters with the corresponding allowed offset boundaries; generating an acquisition segment semantic state determination result based on the comparison results of each structural consistency parameter; and writing the acquisition segment semantic state determination result into the acquisition segment to form a semantic degradation result.

[0012] Preferably, in step S3, the acquisition segment termination condition is a determination condition for whether the current acquisition segment needs to terminate data writing, used to trigger the end of the acquisition segment's lifecycle; the acquisition segment termination condition includes a determination result that the structural consistency parameter exceeds the allowable offset boundary and a corresponding semantic degradation result; the method for generating a new acquisition segment when the acquisition segment termination condition is met includes: updating the write status identifier of the current acquisition segment to the prohibited write state to terminate the data writing of the current acquisition segment; generating a new acquisition segment identifier and recording the new acquisition segment start index; writing the disturbance response template identifier bound to the current acquisition segment into the new acquisition segment to establish a binding relationship between the new acquisition segment and the disturbance response template; and initializing the write status identifier of the new acquisition segment to the allowed write state.

[0013] On the other hand, the present invention provides a hydrogeological feature acquisition system based on real-time parameters, including a memory, a processor, and a computer program stored in the memory and executable on the processor. The processor executes the computer program to implement the above-described hydrogeological feature acquisition method based on real-time parameters.

[0014] Compared with the prior art, the above-mentioned technical solution of the present invention has the following beneficial technical effects: 1. In this invention, based on introducing a reference disturbance and constructing a disturbance response template during the acquisition phase, the system continuously determines whether the acquisition semantics still hold during the acquisition process. This can identify the problem of the acquisition semantics gradually drifting with the operation phase when the hydrogeological parameter values ​​are continuous and there are no obvious anomalies, thus avoiding misjudging invalid acquisition results as true hydrogeological features. 2. In this invention, by performing semantic state determination and dynamic segmentation control on the acquisition process in units of acquisition segments, the structured management of real-time acquisition results is realized, so that semantic degradation of acquisition only affects the corresponding acquisition segment and does not spread to subsequent acquisition processes. Thus, in complex water level change and multi-feature combination analysis scenarios, the output hydrogeological features are guaranteed to have clear semantic boundaries and reliable reference conditions. Attached Figure Description

[0015] Figure 1 This is a flowchart of one embodiment of the present invention. Detailed Implementation

[0016] Example 1, as Figure 1 As shown, the present invention proposes a method for acquiring hydrogeological features based on real-time parameters, and its specific implementation steps are as follows: S1. Deploy intelligent sensing nodes at the target monitoring point, establish a real-time parameter acquisition channel, and perform parameter acquisition operations according to a preset sampling period during the initialization period; trigger a reference disturbance window according to a preset rhythm to apply a controllable reference disturbance to the real-time parameter acquisition channel, obtain the disturbance parameter response of the reference disturbance window under the controllable reference disturbance, generate a disturbance response template corresponding to each intelligent sensing node based on the disturbance parameter response, generate an acquisition segment based on the disturbance response template, and bind the disturbance response template to the acquisition segment. Among them, the preset rhythm is a predefined set of reference disturbance triggering rules used to control the triggering timing of the reference disturbance window; the reference disturbance window is a timing interval in the real-time parameter acquisition channel used to apply controllable reference disturbances and obtain disturbance responses; the controllable reference disturbance is a controlled disturbance operation applied to the real-time parameter acquisition channel without changing the basic operating conditions of the acquisition channel; and the acquisition segment is an acquisition lifecycle unit that allows continuous writing of acquisition parameters under the same acquisition semantic reference conditions. S2. During the data acquisition period, each intelligent sensing node continuously acquires hydrogeological parameters within the acquisition segment, and triggers a reference disturbance window to acquire disturbed hydrogeological parameters according to a preset rhythm; calculates the temporal structure correspondence between the disturbed hydrogeological parameters and the disturbance response template bound to the acquisition segment, and generates structural consistency parameters associated with the acquisition segment. Among them, the temporal structure correspondence is the result of the process of aligning the temporal structure of the disturbance parameter response and the disturbance response template under the disturbance triggering condition and calculating the correspondence. S3. Based on the structural consistency parameters, perform semantic state determination on the acquisition segment to generate semantic degradation results. When the semantic degradation results meet the acquisition segment termination conditions, stop the data writing of the current acquisition segment and perform segmentation to generate a new acquisition segment. Write the semantic degradation results, structural consistency parameters and reference disturbance window into the terminated acquisition segment and bind the disturbance response template to the new acquisition segment. Among them, semantic state is the status indicator of whether the acquisition parameters in the current acquisition segment still meet the predetermined acquisition semantic reference conditions; semantic degradation result is the degradation judgment result obtained after judging the semantic state of the acquisition segment based on the structural consistency parameter; acquisition segment termination condition is the judgment condition that terminates the data writing of the current acquisition segment when the semantic degradation result meets the predetermined judgment rule. S4. Output all acquisition segments according to the acquisition segment identifier, as well as the reference disturbance window, structural consistency parameters, and semantic degradation results corresponding to each acquisition segment; divide the acquisition segments into usable acquisition segments and unusable acquisition segments based on the semantic degradation results, and use all usable acquisition segments as structured real-time acquisition results of hydrogeological features. Among them, the available acquisition segment is the acquisition segment that has not undergone semantic degradation in the semantic state determination and meets the acquisition semantic reference conditions; the unavailable acquisition segment is the acquisition segment that has undergone semantic degradation in the semantic state determination and no longer meets the acquisition semantic reference conditions.

[0017] In this embodiment S1, target monitoring points are selected according to hydrogeological monitoring needs, and intelligent sensing nodes are deployed at each target monitoring point. The intelligent sensing node includes at least one hydrogeological parameter acquisition sensor, a data acquisition control module, a disturbance control interface module, and a communication module. The hydrogeological parameter acquisition sensor is used to acquire at least one of water level parameters, pore water pressure parameters, seepage pressure parameters, conductivity parameters, or temperature parameters. The data acquisition control module is used to perform sampling scheduling and data caching. The disturbance control interface module is used to receive disturbance trigger commands and perform controlled disturbance operations. The communication module is used to transmit the acquired parameters to the acquisition management unit to form a real-time parameter acquisition channel. The real-time parameter acquisition channel is a continuous parameter acquisition and transmission channel composed of intelligent sensing nodes, data acquisition control modules, and communication links.

[0018] In this embodiment S1, the initialization period is the initial running period after the intelligent sensing node completes deployment and establishes a real-time parameter acquisition channel. The initialization period is used to perform baseline operation on the acquisition channel before the introduction of acquisition semantic judgment. The preset sampling period is a fixed time interval for the intelligent sensing node to perform parameter acquisition during the initialization period. The preset sampling period is set according to the rate of change of hydrogeological parameters of the monitoring point, sensor response time and communication bandwidth conditions, and is written into the sampling scheduling parameter table by the data acquisition control module to control the continuous sampling behavior of the acquisition channel.

[0019] In this embodiment S1, the reference disturbance window is a timing acquisition interval determined by the trigger time sequence. The timing acquisition interval is defined by the window start index and the window end index, which are used to define the application interval of the controllable reference disturbance and the acquisition interval of the disturbance parameter response. The method of triggering the reference disturbance window according to a preset rhythm to apply controllable reference disturbance to the real-time parameter acquisition channel includes: performing a controlled disturbance sequence injection operation on the real-time parameter acquisition channel within the interval from the start index to the end index of each reference disturbance window; the controlled disturbance sequence injection operation includes executing at least one of the sampling drive signal, excitation drive signal, or acquisition link control quantity of the acquisition channel, including amplitude, duration, and application. The perturbation modulation is restricted by order, and the acquisition synchronization of the preset sampling period is maintained during the perturbation modulation. The perturbation parameter response is the response sequence of the acquired parameters within the reference perturbation window relative to the reference acquired parameters before the reference perturbation window. The reference acquired parameter response sequence includes at least a response start index, a response peak index, a response fall-off index, and the corresponding parameter change sequence. The method of obtaining the perturbation parameter response includes: calculating the reference acquired parameter response sequence within a preset reference interval before the reference perturbation window start index, forming a perturbation acquired parameter sequence within the reference perturbation window, and performing differential mapping and timing alignment processing on the perturbation acquired parameter sequence and the reference acquired parameter response sequence to obtain the perturbation parameter response.

[0020] In this embodiment S1, the preset rhythm is a set of triggering rules for controlling the triggering timing of the reference disturbance window. The set of triggering rules includes disturbance triggering period parameters, disturbance triggering phase parameters, and disturbance triggering enable condition parameters. The data acquisition control module generates a triggering time sequence according to the triggering rule set. The triggering time sequence is used to determine the triggering time of the reference disturbance window. The reference disturbance window is a timing acquisition interval determined by the triggering time sequence. The timing acquisition interval is defined by the window start index and the window end index. The window start index is the sampling sequence index value corresponding to the triggering time, and the window end index is the sampling sequence index value calculated based on the window start index and the preset window length.

[0021] In this embodiment S1, the process of triggering a reference disturbance window according to a preset rhythm to apply a controllable reference disturbance to the real-time parameter acquisition channel is implemented by a disturbance control interface module. The disturbance control interface module performs a controlled disturbance sequence injection operation within the interval defined by the start index and end index of the reference disturbance window. The controlled disturbance sequence injection operation includes performing a disturbance injection with limited amplitude, limited duration, and controlled sequence on at least one of the sampling drive signal, acquisition link control quantity, or sensor excitation signal, so as to introduce controllable disturbance conditions without changing the basic working state of the acquisition channel.

[0022] In this embodiment S1, the benchmark acquisition parameter response sequence is a reference parameter sequence used to compare the disturbance parameter response. The benchmark acquisition parameter response sequence is calculated within a preset benchmark interval before the starting index of the reference disturbance window. The preset benchmark interval is a sampling index interval with a fixed length located before the starting index of the window. The data acquisition control module performs aggregation processing on the continuously acquired hydrogeological parameters within the preset benchmark interval to form the benchmark acquisition parameter response sequence.

[0023] In this embodiment S1, the disturbance parameter response is the response result of the parameters acquired within the reference disturbance window relative to the response sequence of the reference acquired parameters. The disturbance acquired parameter sequence is acquired by the real-time parameter acquisition channel within the reference disturbance window. The disturbance acquired parameter sequence and the reference acquired parameter response sequence are processed by differential mapping to generate the disturbance parameter response. The differential mapping process includes performing parameter difference calculation and response amplitude mapping on the disturbance acquired parameter sequence and the reference acquired parameter response sequence. To ensure the temporal consistency of the disturbance parameter response, a temporal alignment process is performed on the disturbance parameter response after differential mapping. The temporal alignment process includes aligning the time positions of the disturbance acquired parameter sequence and the reference acquired parameter response sequence based on the sampling index, and uniformly indexing the response start index, response peak index, and response fallback index in the disturbance parameter response to form a disturbance parameter response for subsequent disturbance response template construction.

[0024] In this embodiment S1, the disturbance response template is a template data object used to characterize the disturbance parameter response structure of the intelligent sensing node within the reference disturbance window. The template data object includes a response structure marker set, a response key point index set, and a response allowable offset boundary set. The method for generating a disturbance response template corresponding to each intelligent sensing node based on the disturbance parameter response includes: aggregating multiple sets of disturbance parameter responses acquired during the initialization period, performing time-series alignment processing on each set of disturbance parameter responses based on the response key point index set, generating a node template response sequence based on the aligned parameter change sequence, and generating a response allowable offset boundary set based on the key point index distribution and parameter change distribution of multiple sets of disturbance parameter responses, thereby forming a disturbance response template corresponding to each intelligent sensing node identifier.

[0025] In this embodiment S1, the disturbance response template is a template data object. The template data object includes a response structure tag set, a response key point index set, and a response allowable offset boundary set. The response structure tag set is a set of tags used to describe the stage sequence and stage switching relationship of the disturbance parameter response within the reference disturbance window. The tag set includes stage identifiers, stage start and end indices, and adjacent stage connection identifiers. The response key point index set is a set of indices used to characterize the locations of predefined key events in the disturbance parameter response. The index set includes a response start index, a response peak index, and a response fallback index, and is consistent with the sampling index. The response allowable offset boundary set is a set of boundaries used to limit the acceptable index offset range and parameter offset range of the disturbance parameter response during structural consistency calculation. The boundary set includes the key point index allowable offset boundary and the parameter change sequence allowable offset boundary, and is associated with the smart sensing node identifier.

[0026] In this embodiment S1, multiple sets of disturbance parameter responses are obtained by triggering the reference disturbance window multiple times during the initialization period. The multiple sets of disturbance parameter responses are aggregated according to the smart sensing node identifier to form a disturbance response sample set of the same node. The aggregation operation includes grouping the disturbance parameter responses according to the node identifier, sorting the samples in the group according to the reference disturbance window index, and writing the samples in the group into a sample cache structure indexed by the node identifier to form a traversable sample set. The sample grouping and sorting are implemented through data structure index and queue cache. The sample cache structure is implemented by writing to a time-series database, writing to a key-value index table, or writing to a memory circular buffer.

[0027] In this embodiment S1, time alignment processing is performed on the responses of each group of perturbation parameters based on the response key point index set to unify the key point positions of different response samples. The time alignment processing includes performing index translation processing on each group of perturbation parameter responses using the response start index as the alignment anchor point, performing local scaling mapping processing on the parameter change sequence after index translation using the response peak index as a secondary alignment constraint, and performing truncation or padding processing on the tail of the sequence after local scaling mapping using the response fallback index as the alignment termination constraint. This ensures that each group of perturbation parameter responses has consistent key point positions in the same sampling index coordinate system. The technical fields involved in the time alignment processing include time alignment and resampling processing technology in digital signal processing, and time... The sequence registration technique in inter-sequence analysis and the sampling clock synchronization and index normalization technique in the data acquisition system; the process of generating a node template response sequence based on the aligned parameter change sequence includes performing sequence aggregation mapping on the aligned parameter change sequence within the same node disturbance response sample set to form a node template response sequence. The sequence aggregation mapping includes performing statistical aggregation on the parameter change values ​​at each sampling index position to output the parameter change values ​​of the template sampling points, and forming a node template response sequence with the sampling index as the key after the parameter change values ​​of the template sampling points are generated. The statistical aggregation is achieved by calculating the point-by-point mean, point-by-point median, or point-by-point truncated mean of the aligned sequence and is executed by the data acquisition control module or acquisition management unit.

[0028] In this embodiment S1, the process of generating a set of permissible offset boundaries for response based on the key point index distribution and parameter change distribution of multiple sets of disturbance parameter responses includes performing distribution statistics on the response key point indices in the same node disturbance response sample set to obtain key point index distribution parameters, performing distribution statistics on the aligned parameter change sequences in the same node disturbance response sample set to obtain parameter change distribution parameters, determining the permissible offset boundaries of key point indices based on the key point index distribution parameters, determining the permissible offset boundaries of parameter change sequences based on the parameter change distribution parameters, and writing the permissible offset boundaries of key point indices and parameter change sequences into the set of permissible offset boundaries for response to form the boundary constraint field of the disturbance response template. Finally, using the smart sensor node identifier as the template primary key, the response structure tag set, the response key point index set, the set of permissible offset boundaries for response, and the node template response sequence are combined and encapsulated to form a disturbance response template that corresponds one-to-one with the smart sensor node identifier.

[0029] In this embodiment S1, the acquisition segment is a segmented acquisition data object associated with the smart sensor node identifier; the segmented acquisition data object includes an acquisition segment identifier, an acquisition segment start index, an acquisition segment write status identifier, a reference disturbance window index set, and a disturbance response template identifier; wherein, the acquisition segment write status identifier is used to indicate whether data writing of the acquisition segment is allowed; the method for generating an acquisition segment based on the disturbance response template includes: after generating the disturbance response template, creating an acquisition segment identifier corresponding to its node identifier for each smart sensor node and writing it to the acquisition segment start index, initializing the acquisition segment write status identifier to the write allowed state, writing the disturbance response template identifier to the acquisition segment and establishing a binding relationship between the acquisition segment identifier and the disturbance response template identifier, and simultaneously initializing the reference disturbance window index set for subsequent recording of reference disturbance windows triggered within the runtime segment.

[0030] In this embodiment S1, the acquisition segment is a segmented acquisition data object. The segmented acquisition data object includes an acquisition segment identifier, an acquisition segment start index, an acquisition segment write status identifier, a reference disturbance window index set, and a disturbance response template identifier. The acquisition segment identifier uniquely identifies the acquisition lifecycle unit; the acquisition segment start index records the write start sampling index corresponding to the acquisition segment; the acquisition segment write status identifier records whether the acquisition segment allows writing acquisition parameters; the reference disturbance window index set records the window start index and window end index pairs of the reference disturbance window triggered within the acquisition segment's lifecycle; and the disturbance response template identifier records... The primary key of the disturbance response template is bound to the acquisition segment. The process of generating the acquisition segment based on the disturbance response template includes generating an acquisition segment identifier based on the smart sensor node identifier and writing it into the acquisition segment start index after the disturbance response template is constructed, initializing the acquisition segment write status identifier to the write-allowed state, and writing the disturbance response template identifier into the acquisition segment to establish the binding relationship between the acquisition segment identifier and the disturbance response template identifier. At the same time, the reference disturbance window index set is initialized to an empty set for subsequent appending of reference disturbance window index pairs triggered by writes during the runtime segment, so that the acquisition segment can serve as the carrier of subsequent structural consistency parameters and semantic degradation results.

[0031] In this embodiment S2, the process of triggering the reference disturbance window to collect disturbed hydrogeological parameters according to a preset rhythm is the operational disturbance triggering process, which specifically includes: during the acquisition operation period, performing phase remapping on the preset rhythm based on the starting index of the current acquisition segment to generate an operational triggering time sequence aligned with the acquisition segment; based on the operational triggering time sequence, triggering the reference disturbance window without changing the status identifier written to the acquisition segment; and within each operational reference disturbance window, collecting the corresponding disturbed hydrogeological parameters through the real-time parameter acquisition channel and writing them into the current acquisition segment.

[0032] In this embodiment S2, the acquisition runtime phase is the running phase where the acquisition segment has been generated and is in the write-allowed state. During this phase, each intelligent sensing node continuously acquires hydrogeological parameters within the lifecycle of the acquisition segment according to the established real-time parameter acquisition channel. The continuous acquisition means writing the hydrogeological parameters sequentially according to a preset sampling period without resetting the acquisition segment start index. Unlike the parameter acquisition in S1, where the initialization period is only used to form a disturbance response template, the continuous acquisition in S2 uses the acquisition segment as the writing boundary and is bound to the acquisition segment state. The disturbed hydrogeological parameters are the hydrogeological parameter sequences acquired by the real-time parameter acquisition channel within the reference disturbance window during the running period. The disturbed hydrogeological parameters are the acquisition parameters formed under the condition of controllable reference disturbance application, which are semantically different from the conventional acquisition parameters formed under non-disturbance conditions.

[0033] In this embodiment S2, the starting index of the current acquisition segment is used as the alignment reference of the preset rhythm to unify the time reference of the operation period disturbance trigger and the acquisition segment life cycle. This avoids the mismatch between the reference disturbance trigger phase and the internal index of the acquisition segment due to the acquisition segment switching, thereby ensuring that the operation period disturbance parameters and the disturbance response template bound to the acquisition segment are calculated in the same index reference system.

[0034] In this embodiment S2, the process of phase remapping the preset rhythm includes index shifting of the original rhythm trigger sequence with the acquisition segment start index as the phase zero point. The phase remapping is achieved by performing modulo operation mapping, index offset compensation, or phase register reset on the trigger time sequence. The technologies involved in the phase remapping include sampling clock synchronization technology, timing trigger scheduling technology, and periodic signal phase adjustment technology. The runtime trigger time sequence aligned with the acquisition segment is the preset rhythm trigger sequence after phase remapping. The runtime trigger time sequence generates multiple runtime trigger indices with the acquisition segment start index as a reference and is used to trigger a reference disturbance window within the acquisition segment's lifecycle.

[0035] In this embodiment S2, the temporal structure correspondence describes the correspondence between the response of disturbed hydrogeological parameters and the disturbance response template bound to the acquisition segment in terms of the order and index position of key response events. The temporal structure correspondence is used to determine whether the disturbance parameter response during the operation period meets the structural constraints defined by the disturbance response template. The data structure of the temporal structure correspondence is a correspondence mapping structure, including index mapping pairs between template key point indices and operation period key point indices, stage order matching identifiers, and stage span difference identifiers. The method for calculating the temporal structure correspondence between the disturbed hydrogeological parameters and the disturbance response template bound to the acquisition segment includes: identifying the operation period response key point index of the disturbed hydrogeological parameters within the operation period reference disturbance window; performing index registration on the operation period response key point index based on the response key point index set in the disturbance response template; verifying the order consistency of the operation period response key point index according to the stage order rules defined by the response structure tag set; and writing the index registration result, order verification result, and stage span difference result into the correspondence mapping structure to form the temporal structure correspondence.

[0036] In this embodiment S2, the temporal structure correspondence is used to describe the correspondence between the disturbance hydrogeological parameter response during operation and the disturbance response template bound to the acquisition segment in terms of the order of key response events and index positions. The order of key response events is the order of events formed by arranging each key response event in the disturbance parameter response according to the sampling index. The index position is the index value of the key response event in the sampling sequence. The structural constraints defined by the disturbance response template are the response stage order and index offset range jointly defined by the response structure marker set, the response key point index set, and the response allowable offset boundary set.

[0037] In this embodiment S2, the index mapping pair between the template key point index and the runtime key point index in the correspondence mapping structure is used to record the index correspondence between the template key points and the runtime key points. The stage order matching identifier is used to identify whether the arrangement order of the runtime key response events is consistent with the stage order recorded in the template. The stage span difference identifier is used to record the difference between the interval between adjacent key point indices in the runtime and the interval between key point indices in the template.

[0038] In this embodiment S2, the process of performing index registration on the runtime response key point index includes using the template key point index set as a reference index set, performing index translation and scale normalization processing on the key point index detected in the runtime disturbance parameter response, so that the runtime key point index and the template key point index are located in the same index coordinate system; the process of verifying the order consistency of the runtime response key point index according to the stage order rules defined by the response structure tag set includes mapping the arrangement order of the runtime key point index to a stage identifier sequence, and comparing the stage identifier sequence with the response structure tag set in the disturbance response template to determine whether the runtime disturbance parameter response meets the stage order rules defined by the template.

[0039] In this embodiment S2, the structural consistency parameters are a set of parameters that measure the degree of matching between the disturbance hydrogeological parameter response and the disturbance response template under the temporal structural correspondence. The structural consistency parameters are used as the input basis for determining the semantic state of the acquisition segment. The structural consistency parameters include key point index offset parameters, stage sequence consistency parameters, and stage span offset parameters. The way the structural consistency parameters are associated with the acquisition segment is as follows: the structural consistency parameters are written as segment-level attributes into the acquisition segment data object, and the acquisition segment identifier is used as the index key to establish a one-to-one correspondence between the structural consistency parameters and the acquisition segment, so that the structural consistency parameters are updated and added as the acquisition segment state changes during the acquisition segment's life cycle.

[0040] In this embodiment S2, the degree of matching between the disturbance hydrogeological parameter response and the disturbance response template under the temporal structure correspondence is the degree of structural consistency between the operational response structure and the template response structure. The degree of matching is comprehensively characterized by index mapping offset, stage sequence matching, and stage span difference to form a structural consistency parameter. The key point index offset parameter is used to characterize the offset of the operational key point index relative to the template key point index. The stage sequence consistency parameter is used to characterize the consistency between the order of key response events in the operational period and the order of stages in the template. The stage span offset parameter is used to characterize the offset between the interval of adjacent key point indices in the operational period and the interval of adjacent key point indices in the template. The structural consistency parameter is written into the acquisition segment data object as an input parameter for the semantic state determination of the acquisition segment.

[0041] In this embodiment S3, semantic state determination is a process of determining whether the semantics of the current acquisition segment still meet the disturbance response template constraint conditions based on the structural consistency parameters associated with the acquisition segment. This process is used to generate a semantic degradation result that characterizes the semantic change state of the acquisition segment. The method for generating a semantic degradation result by performing semantic state determination on the acquisition segment based on the structural consistency parameters includes: reading the structural consistency parameters associated with the current acquisition segment identifier; comparing the key point index offset parameter, stage sequence consistency parameter, and stage span offset parameter in the structural consistency parameters with the corresponding allowed offset boundaries; generating an acquisition segment semantic state determination result based on the comparison results of each structural consistency parameter; and writing the acquisition segment semantic state determination result into the acquisition segment to form a semantic degradation result.

[0042] In this embodiment S3, the semantic state determination takes the acquisition segment as the determination object and the structural consistency parameter associated with the acquisition segment identifier as the determination basis, which is used to characterize the deviation of the acquired semantics within the current acquisition segment from the semantic reference conditions defined by the disturbance response template. The key point index offset parameter, stage sequence consistency parameter, and stage span offset parameter in the structural consistency parameter are compared with the set of allowed offset boundaries of the response recorded in the disturbance response template. Specifically, the key point index offset parameter is judged to have interval inclusion with the allowed offset boundary of the key point index, the stage sequence consistency parameter is judged to have consistency with the allowed rule of stage sequence, and the stage span offset parameter is compared to the allowed offset boundary of stage span. The semantic state determination result of the acquisition segment is generated based on the comparison results of each structural consistency parameter and the corresponding allowable offset boundary. The semantic state determination result of the acquisition segment is used to characterize whether the current acquisition segment still meets the acquisition semantic reference conditions defined by the disturbance response template, and the determination result is generated in the form of a determination identifier to avoid overwriting the structural consistency parameters themselves.

[0043] In this embodiment S3, the acquisition segment termination condition is a determination condition for whether the current acquisition segment needs to terminate data writing, which is used to trigger the end of the acquisition segment's lifecycle. The acquisition segment termination condition includes the determination result that the structural consistency parameter exceeds the allowable offset boundary and the corresponding semantic degradation result. The method for generating a new acquisition segment when the acquisition segment termination condition is met includes: updating the write status identifier of the current acquisition segment to the prohibited write state to terminate the data writing of the current acquisition segment; generating a new acquisition segment identifier and recording the new acquisition segment start index; writing the disturbance response template identifier bound to the current acquisition segment into the new acquisition segment to establish the binding relationship between the new acquisition segment and the disturbance response template; and initializing the write status identifier of the new acquisition segment to the allowed write state.

[0044] In this embodiment S3, the acquisition segment termination condition is a segment-level determination condition used to determine whether to terminate the current acquisition segment data writing. The acquisition segment termination condition is based on a joint determination of the structural consistency parameter exceeding the allowable offset boundary and the corresponding semantic degradation result. The structural consistency parameter exceeding the allowable offset boundary characterizes the degree of structural deviation, and the semantic degradation result characterizes the change in the acquisition semantic state. To characterize changes in the semantic state of data acquisition; when the termination condition of a data acquisition segment is met, the write status identifier of the current data acquisition segment is updated to the write-prohibited state to terminate the data writing operation of the current data acquisition segment. The write status identifier update is achieved by modifying the status field in the data object of the data acquisition segment to prevent subsequent data acquisition parameters from continuing to be written to the terminated data acquisition segment; the disturbance response template identifier bound to the current data acquisition segment is written to the new data acquisition segment to establish a binding relationship between the new data acquisition segment and the disturbance response template. The binding relationship is used to ensure that the new data acquisition segment continues to use the same disturbance response template as the data acquisition semantic reference during subsequent disturbance triggering and structural consistency calculations during runtime; after the new data acquisition segment is generated and bound to the disturbance response template, the write status identifier of the new data acquisition segment is initialized to the write-allowed state.

[0045] In this embodiment S4, the semantic reference condition for acquisition is the response structure constraint condition defined by the disturbance response template. The semantic reference condition for acquisition is jointly determined by the response structure marker set, the response key point index set, and the response allowable offset boundary set in the disturbance response template. It is used to characterize the range of structural features that the acquisition channel should satisfy in response to hydrogeological parameters under the reference disturbance condition. When the structural consistency parameter of the acquisition segment exceeds the response allowable offset boundary or the stage sequence no longer meets the restriction rules of the response structure marker set in the semantic state determination of S3, it indicates that the hydrogeological parameter response during the operation period no longer meets the structural constraint condition defined by the disturbance response template. Therefore, the acquisition segment is determined to no longer meet the semantic reference condition for acquisition and is identified as an unusable acquisition segment.

[0046] In this embodiment S4, the acquisition segment identifier is an identifier field used to uniquely identify each acquisition segment within the acquisition runtime period. The acquisition segment identifier is used to establish the association between the acquisition segment and its corresponding reference perturbation window, structural consistency parameter, and semantic degradation result, and serves as the basis for indexing, separating, and aggregating the acquisition segments in the output stage. The structured real-time acquisition results of hydrogeological features are a set of acquisition results composed of available acquisition segments. The acquisition result set is organized by the acquisition segment identifier and retains the reference perturbation window, structural consistency parameter, and semantic degradation result corresponding to each available acquisition segment, so as to form a real-time acquisition result output form with clear acquisition semantic boundaries and reference conditions.

[0047] Example 2: The present invention proposes a hydrogeological feature acquisition system based on real-time parameters, which is applied to the hydrogeological feature acquisition method based on real-time parameters proposed in Example 1. It includes a memory, a processor, and a computer program stored in the memory and executable on the processor. The processor executes the computer program to implement the hydrogeological feature acquisition method based on real-time parameters in Example 1.

[0048] The embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the present invention is not limited thereto. Various changes can be made within the scope of knowledge possessed by those skilled in the art without departing from the spirit of the present invention.

Claims

1. A method for collecting hydrogeological characteristics based on real-time parameters, characterized in that, The method comprises the following steps: S1, deploying intelligent sensing nodes at target monitoring points, establishing real-time parameter acquisition channels, and performing parameter acquisition operation according to a preset sampling period during an initialization period; triggering a reference disturbance window according to a preset rhythm to exert a controllable reference disturbance on the real-time parameter acquisition channel, obtaining a disturbance parameter response of the reference disturbance window under the controllable reference disturbance, generating a disturbance response template corresponding to each intelligent sensing node based on the disturbance parameter response, and generating an acquisition section based on the disturbance response template, and binding the disturbance response template to the acquisition section; wherein the preset rhythm is a predefined reference disturbance trigger rule set for controlling the trigger timing of the reference disturbance window; the reference disturbance window is a timing interval in the real-time parameter acquisition channel for exerting a controllable reference disturbance and obtaining a disturbance response; the controllable reference disturbance is a controlled disturbance operation exerted on the real-time parameter acquisition channel without changing the basic working conditions of the acquisition channel; the acquisition section is an acquisition life cycle unit that allows continuous writing of acquisition parameters under the same acquisition semantic reference condition; S2, during an acquisition running period, continuously acquiring hydrogeological parameters in the acquisition section by each intelligent sensing node, and triggering the reference disturbance window to acquire disturbance hydrogeological parameters according to the preset rhythm; calculating the timing structure correspondence relationship of the disturbance hydrogeological parameters and the disturbance response template bound to the acquisition section, and generating a structure consistency parameter associated with the acquisition section; wherein the timing structure correspondence relationship is the process result of timing structure alignment and correspondence relationship calculation of the disturbance parameter response and the disturbance response template under the disturbance trigger condition; S3, performing semantic state judgment on the acquisition section based on the structure consistency parameter to generate a semantic degradation result, stopping data writing of the current acquisition section when the semantic degradation result meets the acquisition section termination condition, and generating a new acquisition section by segmentation; writing the semantic degradation result, the structure consistency parameter and the reference disturbance window into the terminated acquisition section, and binding the disturbance response template to the new acquisition section; wherein the semantic state is a state identifier indicating whether the acquisition parameters in the current acquisition section still meet the predetermined acquisition semantic reference condition; the semantic degradation result is a degradation judgment result obtained by judging the semantic state of the acquisition section based on the structure consistency parameter; the acquisition section termination condition is a judgment condition for terminating the data writing of the current acquisition section when the semantic degradation result meets the predetermined judgment rule; S4, outputting all acquisition sections and the reference disturbance window, the structure consistency parameter and the semantic degradation result corresponding to each acquisition section according to the acquisition section identifier; dividing the acquisition sections into usable acquisition sections and unusable acquisition sections according to the semantic degradation result, and taking all usable acquisition sections as the structured real-time acquisition result of the hydrogeological characteristics; wherein the usable acquisition section is an acquisition section that does not occur semantic degradation and meets the acquisition semantic reference condition in the semantic state judgment; the unusable acquisition section is an acquisition section that occurs semantic degradation and no longer meets the acquisition semantic reference condition in the semantic state judgment.

2. The method for collecting hydrogeological features based on real-time parameters according to claim 1, characterized in that: The S1, the reference disturbance window is the time sequence collection interval determined by the trigger time sequence, the time sequence collection interval is limited by the window start index and the window end index, for limiting the application interval of the controllable reference disturbance and the collection interval of the disturbance parameter response; The method for triggering the reference disturbance window according to the preset rhythm to apply the controllable reference disturbance to the real-time parameter collection channel comprises: in the interval from the reference disturbance window start index to the window end index, performing a controlled disturbance sequence injection operation on the real-time parameter collection channel; the disturbance parameter response is the collection parameter response sequence in the reference disturbance window relative to the reference disturbance window before the reference collection parameter response sequence; the way of obtaining the disturbance parameter response comprises: calculating the reference collection parameter response sequence in the preset reference interval before the reference disturbance window start index, forming the disturbance collection parameter sequence in the reference disturbance window, and performing difference mapping and time sequence alignment processing on the disturbance collection parameter sequence and the reference collection parameter response sequence to obtain the disturbance parameter response.

3. The method of claim 2, wherein: The S1, the disturbance response template is a template data object for characterizing the disturbance parameter response structure of the intelligent sensing node in the reference disturbance window; wherein, the template data object comprises a response structure mark set, a response key point index set and a response allowed offset boundary set; the method for generating the disturbance response template corresponding to each intelligent sensing node based on the disturbance parameter response comprises: aggregating multiple groups of disturbance parameter responses obtained in the initialization period, performing time sequence alignment processing on each group of disturbance parameter responses based on the response key point index set, generating a node template response sequence based on the aligned parameter change sequence, and generating the response allowed offset boundary set based on the key point index distribution and the parameter change distribution of the multiple groups of disturbance parameter responses, so as to form the disturbance response template corresponding to the intelligent sensing node identification.

4. The method of claim 3, wherein: The S1, the collection segment is a segment type collection data object associated with the intelligent sensing node identification; the segment type collection data object comprises a collection segment identification, a collection segment start index, a collection segment write state identification, a reference disturbance window index set and a disturbance response template identification; wherein, the collection segment write state identification is used to indicate whether the data writing of the collection segment is allowed; the method for generating the collection segment based on the disturbance response template comprises: after generating the disturbance response template, creating the collection segment identification corresponding to the node identification of each intelligent sensing node and writing the collection segment start index, initializing the collection segment write state identification as the allowed write state, writing the disturbance response template identification to the collection segment and establishing the binding relationship between the collection segment identification and the disturbance response template identification, and initializing the reference disturbance window index set for subsequent recording of the reference disturbance window triggered in the running period.

5. The method of claim 4, wherein: The process of triggering the reference disturbance window to collect the disturbed hydrogeological parameters according to the preset rhythm in S2 is an operation period disturbance triggering process, which specifically comprises: in the collection operation period, phase remapping is performed on the preset rhythm based on the current collection segment starting index to generate a sequence of operation period triggering time points aligned with the collection segments; based on the sequence of operation period triggering time points, the reference disturbance window is triggered without changing the collection segment write state identifier; in each operation period reference disturbance window, the corresponding disturbed hydrogeological parameters are collected through the real-time parameter collection channel and written into the current collection segment.

6. The method for collecting hydrogeological features based on real-time parameters according to claim 5, characterized in that: In S2, the time sequence structure correspondence relationship is the correspondence relationship between the key response event order and the index position of the disturbed hydrogeological parameter response and the disturbance response template bound to the collection segment, and the time sequence structure correspondence relationship is used to determine whether the operation period disturbance parameter response meets the structure constraint defined by the disturbance response template; the data structure of the time sequence structure correspondence relationship is a correspondence relationship mapping structure, which includes an index mapping pair between the template key point index and the operation period key point index, a stage order matching identifier, and a stage span difference identifier. The method for calculating the time sequence structure correspondence relationship of the disturbance response template bound to the collection segment of the disturbed hydrogeological parameters comprises: identifying the operation period response key point index of the disturbed hydrogeological parameters in the operation period reference disturbance window; performing index registration on the operation period response key point index based on the response key point index set in the disturbance response template; checking the order consistency of the operation period response key point index according to the stage order rule defined by the response structure marking set; and writing the index registration result, the order checking result, and the stage span difference result into the correspondence relationship mapping structure to form the time sequence structure correspondence relationship.

7. The method of claim 6, wherein: In S2, the structure consistency parameter is a parameter set representing the matching degree of the disturbed hydrogeological parameter response and the disturbance response template under the time sequence structure correspondence relationship; the structure consistency parameter is used as an input basis for determining the semantic state of the collection segment; the structure consistency parameter comprises a key point index offset parameter, a stage order consistency parameter, and a stage span offset parameter; the association mode of the structure consistency parameter and the collection segment is that the structure consistency parameter is written into the collection segment data object as a segment-level attribute, and a one-to-one correspondence relationship between the structure consistency parameter and the collection segment is established by taking the collection segment identifier as an index key, so that the structure consistency parameter is updated and appended along with the state change of the collection segment in the collection segment life cycle.

8. The method for collecting hydrogeological features based on real-time parameters according to claim 7, characterized in that: In S3, the semantic state determination is a determination process of determining whether the collection semantics corresponding to the current collection segment still meet the condition defined by the disturbance response template based on the structure consistency parameter associated with the collection segment, and is used to generate a semantic degradation result representing the semantic change state of the collection segment. The method for performing semantic state determination on a collection section based on structure consistency parameters to generate a semantic degradation result includes: reading structure consistency parameters associated with a current collection section identifier; comparing key point index offset parameters, stage order consistency parameters, and stage span offset parameters in the structure consistency parameters with corresponding allowed offset boundaries; generating collection section semantic state determination results based on comparison results of the structure consistency parameters; and writing the collection section semantic state determination results to the collection section to form a semantic degradation result.

9. The method for collecting hydrogeological characteristics based on real-time parameters according to claim 8, characterized in that: In the S3, the collection section termination condition is a determination condition for determining whether the current collection section needs to terminate data writing, and is used to trigger the end of the collection section life cycle. The collection section termination condition includes determination results of structure consistency parameters exceeding allowed offset boundaries and corresponding semantic degradation results. When the collection section termination condition is met, a method for generating a new collection section includes: updating a write state identifier of the current collection section to a prohibited write state to terminate data writing of the current collection section; generating a new collection section identifier and recording a new collection section start index; writing a disturbance response template identifier bound to the current collection section to the new collection section to establish a binding relationship between the new collection section and the disturbance response template; and initializing a write state identifier of the new collection section to an allowed write state. The processor executes a computer program to implement the hydrogeological feature collection method based on real-time parameters as claimed in any one of claims 1-9.

10. A hydrogeological feature acquisition system based on real-time parameters, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: ​

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