Intelligent compliance management system based on conversation content

Abstract

This invention discloses an intelligent compliance management system based on session content, relating to the field of session compliance processing technology. The method includes: separating roles in the session interaction flow and generating a feature sequence with session identifiers, role identifiers, and timestamps when the parameter update path is closed; performing out-of-order pre-insertion, asymmetric temporal dwell, and reverse locking triggered by confirmation nodes on the feature sequence to obtain a backbone topology pool; performing boundary ranging on the backbone topology pool and anchor point coordinate parameter set based on a structured compliance knowledge graph to generate a boundary scalar matrix; performing blocking or threshold pre-pressing based on the boundary scalar matrix and writing gray area topology segments into a suspended residual queue; and correcting anchor point coordinates based on suspended residuals and correction information. This method can reduce the burden of long session processing, reduce the dependence of rule adjustments on model retraining, and thus improve the ability to handle hidden inducement chains and gray area probing behaviors.

Description

Technical Field

[0001] This invention relates to the field of session compliance processing technology, specifically to an intelligent compliance management system based on session content. Background Technology

[0002] In scenarios requiring compliance identification and handling of multi-turn conversations, such as bank customer service, insurance sales, consumer finance outbound calls, platform online work orders, and remote quality inspection, business conversations typically involve voice, text, identity signaling, and continuous role-based interactions. This can lead to long periods of context accumulation, frequent role changes, and constantly evolving risk warnings. The engineering approach usually involves first grouping the conversation content by role, extracting multimodal features, and then outputting intent recognition results, response strategies, or risk assessments.

[0003] Chinese patent document CN116796290B discloses a method, system, computer, and storage medium for dialogue intent recognition. The basic idea of ​​this document is as follows: Text sub-features, video sub-features, and audio sub-features are extracted from text sets, video sets, and audio sets, respectively. Then, based on different speakers, these sub-features are distinguished and segmented into feature groups composed of multiple multimodal features. Finally, an intent recognition model is constructed, completed in two steps: first, a first loss function enables the model to distinguish samples; second, a second loss function enables the model to distinguish intent. Finally, based on the system, the current dialogue intent is recognized for all content and context corresponding to the speaker. This type of solution focuses on organizing features based on multimodal content after speaker differentiation, and then outputting the intent judgment result through a trained model.

[0004] However, in compliance-sensitive scenarios such as financial customer service, outbound marketing calls, and online work orders, the aforementioned technologies still primarily revolve around multimodal feature extraction, speaker differentiation, and intent recognition models. The judgment criteria mainly focus on model parameters, sample distribution, or subsequent strategy mapping relationships. As the number of conversation rounds increases, the system continuously organizes historical content and contextual information related to the speaker, easily leading to a gradual increase in the processing chain's reliance on historical conversations. When business rules, risk concerns, or regulatory interpretations change, the existing judgment basis often requires retraining the model, rematching strategies, or adjusting business rules. Furthermore, for gray-scale conversations that do not directly trigger interception but continuously approach risk boundaries in multiple rounds of interaction, existing solutions provide intent categories or response strategies, making it difficult to retain such intermediate samples separately as a basis for subsequent correction.

[0005] Therefore, in scenarios with long sessions, multiple roles, and dynamically changing rules, it is easy to cause problems such as processing burden, rule switching lag, and insufficient continuity in handling gray-scale sessions. Thus, how to achieve stable compliance in multi-round sessions while reducing the dependence on model parameter modification and repeated training is a technical problem that existing technologies urgently need to solve. Summary of the Invention

[0006] (a) Technical problems to be solved To address the shortcomings of existing technologies, this invention provides an intelligent compliance management system based on session content. It performs out-of-order pre-insertion, asymmetric temporal dwell, and reverse locking triggered by confirmation nodes on feature sequences to obtain a backbone topology pool. Based on a structured compliance knowledge graph, it performs boundary ranging on the backbone topology pool and anchor point coordinate parameter set to generate a boundary scalar matrix. Based on the boundary scalar matrix, it performs blocking or threshold pre-pressing and writes gray area topology segments into a suspended residual queue. Anchor point coordinates are corrected based on suspended residuals and correction information. This reduces the dependence of rule adjustments on model retraining, thereby improving the ability to handle hidden inducement chains and gray area probing behaviors; and solves the technical problems described in the background art.

[0007] (II) Technical Solution To achieve the above objectives, the present invention provides the following technical solution: The intelligent compliance management system based on conversation content is executed by the data processing server, including: collecting conversation interaction streams, separating them into slices according to customer-side and sales-side roles, and generating feature sequences with conversation identifiers, role identifiers and timestamps when the parameter update path of the perception mapping base is closed; Based on role identifiers and timestamps, out-of-order pre-insertion and asymmetric time-series dwell are performed on the feature sequence, and when a customer-side confirmation node appears, its preceding sales-side node is locked in reverse order to obtain the backbone topology pool. Based on the current version of the structured compliance knowledge graph, which is independent of the perception mapping base, boundary ranging is performed on the backbone topology pool and anchor point coordinate parameter set, and the ranging results are merged to generate a boundary scalar matrix. Based on the boundary scalar matrix, block or threshold up is applied to the current session, and the gray area topology segments that have not triggered block, the corresponding threshold snapshot, the number of oscillations, and the correction association flag are asynchronously written to the suspended residual queue.

[0008] Furthermore, the parameter update path is closed as follows: before generating the feature sequence, the data processing server loads the perceptual mapping base into the inference memory, sets its parameters to a non-updateable state, and prohibits the parameter write-back triggered by the business classification result during the current session processing, retaining only the forward feature mapping path and the feature payload output path.

[0009] Furthermore, the feature sequence consists of feature records arranged in chronological order. Each feature record includes a session identifier, a role identifier, a timestamp, and a feature payload. When a decoding failure occurs in the session interaction stream, the data processing server writes a zero feature payload with a default tag at the corresponding timestamp position.

[0010] Furthermore, the data processing server establishes a client-side linked list and a sales-side linked list within the same session slot, and performs pre-insertion padding on out-of-order feature records according to timestamps; when a client-side confirmation node appears, it performs a reverse retrieval on the sales-side feature records preceding it, and writes the retrieved sales-side feature records into the causal hard lock flag.

[0011] Furthermore, when the current topology segment is determined to meet the blocking condition based on the boundary scalar matrix, the data processing server generates a control frame corresponding to the current session. The control frame includes at least the session identifier, topology segment index, action code, threshold snapshot, timestamp, and execution channel number, and sends the control frame to the execution interface.

[0012] Furthermore, when the execution interface corresponds to the front-end rendering interface, the data processing server generates a masking instruction based on the control frame. The masking instruction includes an input lock flag, a pop-up content identifier, and a release condition identifier, and is pushed to the front-end rendering interface via a long connection so that the front-end rendering interface locks the input area based on the input lock flag and retrieves the corresponding pop-up template.

[0013] Furthermore, when the current session does not meet the blocking conditions and falls into the gray zone, the data processing server encapsulates the gray zone topology segment, dump identifier, threshold snapshot, oscillation count, anchor hit index, and correction association identifier into queue elements, and asynchronously writes them to the message topic to which the suspended residual queue belongs.

[0014] Furthermore, the current version of the structured compliance knowledge graph consists of a read buffer and a write buffer. After completing the version continuity check and the anchor coordinate dimension consistency check, the data processing server performs an atomic switch on the version pointer of the current version of the structured compliance knowledge graph, and uses the switched read buffer as the entry point for subsequent boundary ranging.

[0015] Furthermore, each anchor record in the current version of the structured compliance knowledge graph includes an anchor identifier, a parent rule identifier, a version identifier, anchor coordinates, a boundary radius parameter, and a status flag; the data processing server only performs boundary ranging on the anchor records corresponding to the current version pointer.

[0016] Furthermore, in asymmetric temporal residency, the residency release constant corresponding to the client-side feature record is greater than the residency release constant corresponding to the sales-side feature record; the data processing server retains the two most recent interactions as the minimum retention window for each current session, and performs asymmetric temporal residency outside the minimum retention window.

[0017] Furthermore, when the correction label corresponding to the dump identifier arrives, the data processing server pairs the gray area topology segment with the correction label, reads the current version identifier and anchor hit index associated with the dump identifier, and establishes the current version closed-loop correction context.

[0018] Furthermore, the data processing server locates the original hit anchor record based on the anchor hit index and locates the target anchor record based on the correction association identifier; and scans the set of legal outlier anchor records around the original hit anchor record to construct the local neighborhood of the current version.

[0019] Furthermore, the data processing server synthesizes the displacement direction of the original hit anchor record pointing to the target anchor record with the restricted displacement corresponding to the set of legal heterogeneous anchor records to obtain the corrected anchor coordinates; the corrected anchor coordinates are written to the write buffer and an atomic switch is performed, while the integral state associated with the corresponding session is cleared.

[0020] (III) Beneficial Effects This invention provides an intelligent compliance management system based on session content, which has the following beneficial effects: By separating roles in the conversational interaction flow, a feature sequence is generated when the parameter update path of the perception mapping base is closed. This separates the front-end feature acquisition from subsequent business judgments, eliminating the need for rule changes to be directly bound to the perception mapping base and removing processing chain fluctuations caused by model retraining from the source. By performing out-of-order pre-insertion of the feature sequence and asymmetric temporal dwell based on role differences, and by reversing the order to lock the preceding sales-side node when a customer-side confirmation node appears, the contextual relationships crucial to the inducement chain are preserved while minimizing the occupation of long conversations, continuously tracking the hidden dialogue path.

[0021] By mapping the backbone topology pool to the current version of the structured compliance knowledge graph, independent of the perception mapping base, and performing boundary ranging with the anchor point coordinate parameter set, the judgment criteria are transformed from the internal classification output of the model into an independently maintainable boundary scalar matrix. Rule loading, replacement, and expansion are completed within the graph. Blocking or threshold pre-pressing is triggered according to the boundary scalar matrix. Gray-zone topology segments that do not trigger blocking, along with threshold snapshots, oscillation counts, and correction association identifiers, are written into the suspended residual queue. This not only handles direct boundary violations but also provides a progressive tightening and correction basis for sessions that repeatedly test the boundary.

[0022] By mapping the gray area topology segments in the suspended residual queue to the correction information, the set of original hit anchor records, target anchor records, and legal outlier anchor records is located, and the corrected anchor coordinates are generated. Boundary self-correction is achieved without unblocking the parameter update path, thereby completing the loop processing chain from feature generation, backbone compression, boundary determination to map closed-loop correction. Attached Figure Description

[0023] Figure 1 This is a schematic diagram of the overall architecture of the compliance management system based on session content of the present invention; Figure 2 This is a schematic diagram of the process of session entry role isolation, frozen perception and intent node generation in this invention; Figure 3 This is a schematic diagram of the asymmetric temporal cleaning, reverse causal retrieval, and backbone topology pool construction of the present invention; Figure 4 This is a schematic diagram of the external compliant knowledge graph hot switching, topology segment clustering, and non-Euclidean boundary ranging of the present invention. Figure 5 This is a schematic diagram of the boundary principal value merging, grayscale pre-compression, and blocking execution process of the present invention; Figure 6 This is a schematic diagram of the unresolved gray area suspension and suspension residual array formation of the present invention; Figure 7 This is a schematic diagram of the closed-loop correction of restricted slippage of the spectrum anchor point driven by the residual in this invention. Detailed Implementation

[0024] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0025] Please see Figures 1-7 This invention provides an intelligent compliance management system based on session content, comprising: In one exemplary implementation, the session content-based compliance management system is collaboratively executed by a core network optical mirroring unit, a bypass acquisition probe, a media decoding server, a role isolation server, a feature processing server, and a structure packet service. Step one serves as a preliminary foundation; its task is not to directly provide business decisions at the entry point, but rather to first restore voice, text, and their accompanying signaling into an objective temporal intent feature stream with role boundaries. This setup is because subsequent steps two require asymmetric residency based on role differences, and step three requires feeding the feature stream into an external knowledge graph for geometric ranging. If the entry stage retains the business fitting attributes of the end-to-end model, the subsequent links will be negatively constrained by deep parameter coupling, making it difficult to form a stable external decision loop.

[0026] Step 1: At the moment the session handshake is established, the multi-source heterogeneous interaction stream is converted into an objective temporal intent feature tensor sequence with strict role isolation imprint, and the business fitting loop of the deep perception network is cut off at the entry point, so that subsequent steps only process the stable, continuously received, and continuously transmitted underlying expression results.

[0027] In call center, online agent, two-way inquiry, and enterprise work order linkage scenarios, the original input is not a single text, but simultaneously includes voice payload, signaling fields, agent-side input logs, customer-side feedback fragments, and page-side work order text. If all the data is directly fed into the trainable classification network at this entry stage, the first problem is not recognition accuracy, but role mixing: customer confirmation statements, agent-side scripted guidance, and system-automated fixed statements are easily mixed into an indivisible hybrid representation in the same vector space. Furthermore, as long as the model retains the error feedback path, when the subsequent rules change, the entry model will be forced to refit the new rules; this will drag the rule replacement that should be completed in the external graph layer back to the deep parameter layer. Therefore, Step 1 does not assume the responsibility of rule updating, but focuses on doing a preliminary task: decomposing the multi-source input into bottom-level intent nodes that are distinguishable at both ends, temporally continuous, semantically objective, and structurally unified.

[0028] Specifically, step one will continue the cleaning and resident intent node sequence output in step two. This includes: communication-side collaboration, where the interactive stream is copied to the media decoding server via the core network optical mirror or bypass acquisition probe, separating the original service path from the feature extraction path; role-side collaboration, where the role isolation server fixes the dual-end entities in different role slots based on the signaling underlying identifier, employee number field, or voiceprint affiliation, avoiding tensor mixing below; and perception-side collaboration, where the feature processing server sends the separated slices into a gradient-locked state frozen perception base, retaining only objective projection capabilities and stripping away service fitting capabilities.

[0029] In a preferred embodiment, the following actions are performed consecutively by the role isolation server and the feature processing server. The core network optical mirror first copies the voice packets and signaling packets, while the bypass acquisition probe synchronously pulls the work order text from the agent's desktop; the media decoding server uniformly restores the voice to a mono pulse code modulation stream and uniformly restores the text to a UTF-8 character sequence; the role isolation server then pushes the multimodal segments within the same session into the same session identifier. The corresponding temporary queue, and based on the role identifier The information is sent to the customer-side channel and the sales-side channel, respectively. Here, the sales-side channel is always directed to the entity that performs marketing, explanation, guidance, or response, while the customer-side channel is always directed to the entity that receives information, asks questions, and gives confirmation or rejection. These names will not be changed hereafter.

[0030] After the media decoding server completes decoding, it forms speech segments according to fixed time windows, text segments according to message boundaries, and converts the time fields in the signaling into millisecond-level epoch timestamps. For speech segments, text segments, and signaling fields belonging to the same session identifier, the system forms original slices according to the nearest timestamp alignment rule; if only a single modality of data exists within a certain time window, then that single modality of data is used to form the original slice; if both speech and text data exist within the same time window, they are concatenated into the same original slice according to a predetermined field order.

[0031] Preferably, the feature processing server is deployed on an inference host with independent GPU memory, and the operating environment uses a deep learning framework that supports automatic differentiation switching and parameter update hook unbinding; an inference framework with equivalent functionality is also suitable. Each speech segment and text segment output by the media decoding server together constitutes the original segment. The data then enters the cryogenic sensing base. Upon loading, the cryogenic sensing base shuts down the service output path of the classification activation layer, retaining only the embedding, encoding, and projection layers. Therefore, its responsibility shifts from learning and judgment to observation and projection. This processing logic decouples step one from subsequent rule decisions at the source, reserving a clean interface for the external spectrum ranging in step three. At the entry point, the core network optical mirroring unit only performs replication, not rewriting; the bypass acquisition probe only retrieves data, not reloading. After both send the voice, signaling, and work order text corresponding to the same call to the media decoding server, the media decoding server first uses the session identifier in the session handshake message. Aggregate messages and then reassemble the slices in timestamp order. If the scenario is an outbound telephone call, the grouping is based directly on the session initiation field and the media negotiation field; if the scenario is an online work order, the grouping is based on the session number and role UID fields provided by the business platform.

[0032] In role staking, the role isolation server does not rely on abstract semantic guessing, but prioritizes entity placement based on underlying identity fields. For voice scenarios, the system first reads the caller ID, called ID, extension number, or agent ID; if an identity field is missing in the same session, it retrieves the voiceprint comparison result to complete the assignment. For text scenarios, the system directly reads the embedded role UID field in the JSON message, pushing customer messages into the customer-side channel and agent messages into the sales-side channel. Taking a bank customer service call as an example, when a customer first connects, they say "Hello," and the agent then says, "This is [Center Name]." These two statements sound like small talk, but in this step, they are not mixed into the same entity speaking; instead, they are written into different role slots with corresponding role identifiers. The direct effect of this is that the subsequent second step can be identified by a role. Asymmetric forgetting is performed on the key, so that erroneous dwellings do not occur due to role drift at the entry stage.

[0033] Original slices After the role is assigned, it is delivered to the cryogenic sensing base via the feature processing server. Before loading, the cryogenic sensing base writes two types of underlying constraints: the first type of constraint is to disable the cryogenic parameter set. Automatic differentiation switch; the second type of constraint is the unbinding parameter update operator, that is, not updating the frozen parameter set during inference. When writing back, the corresponding objective projection relationship is as follows: Where: original slice : Refers to the same time-series index The speech slice, text slice, or a multimodal slice combining both, fed into the cryogenic sensing base, takes the value of a discrete byte stream, a tag sequence, or a frame vector sequence; temporal index. : Refers to the current slice in the session identifier The sequential position in the timeline, with values ​​being a sequence of positive integers; frozen parameter set. : Refers to the fixed set of parameters in the cryogenic sensing base that participate in embedding, encoding and projection, and whose values ​​are a set of real number matrices that are not rewritten after loading; Objective projection operator This refers to a mapping operator that performs only embedding, encoding, and dimensionality reduction projection without performing business classification. Its value is taken from the forward pass of a deterministic neural network and is used to transform the original slices... Translate into an intention tensor; intention tensor : Refers to the high-dimensional floating-point representation of the output of the cryogenic sensing base, with values ​​taken as fixed-length real vectors or fixed-length real matrices; The original slice is formed from speech segments, text segments, and signaling fields falling within the same time window under the same session identifier. When multimodal data exists within the same time window, it is concatenated according to a predetermined field order to form the original slice. When only single-modal data exists within the same time window, the original slice is formed using that single-modal data. In step one, the perceptual mapping base only performs input embedding, temporal coding, and projection output, and the frozen parameter set remains unchanged during the current session processing.

[0034] To ensure that the aforementioned freezing is not a verbal constraint but a low-level constraint, the feature processing server continues to impose the following hold condition: Where: objective function This refers to any constructed error metric in the inference chain, taking the value of a non-negative real number, used to indicate that even if an external error metric exists, freezing the parameter set is not allowed. Gradient feedback; frozen parameter set The meaning is the same as before; it is used to remain persistent throughout the entire session processing and not be modified by business feedback; update operator. : Refers to the optimizer, hot updater, or any parameter write-back process, and its value is a mapping operation on the parameter set; For example, in a voice marketing system, a customer asks three questions: interest rate, handling fee, and cancellation method. The sales entity provides explanations and guidance in turn. The sales entity does not directly write the information into a sustainable learning classifier, but instead uses a frozen perception base to transcribe each round of speech into an intent tensor. Regardless of how the compliance guidelines are revised later, step one will not affect the freezing parameter set. The changes were made, therefore the entry point representation remains unchanged. Intent tensor After generation, the structure is written into the intent node structure through the structure encapsulation service.

[0035] Preferably, the intent node structure adopts a contiguous memory layout, and the field order is fixed as the session identifier. Role Identification Epoch Timestamp The tensor payload can be a 768-dimensional single-precision floating-point array or a fixed-length low-bit floating-point array with the same expressive power. As long as the field order is the same, the same offset can be read in the subsequent step two. The purpose of setting it is to compress the heterogeneous information such as the original audio frames, text messages, and signaling headers into the same timing node, so that it is not necessary to go back to the original protocol layer to find the role and time information in the subsequent steps.

[0036] In terms of actions, the role isolation server first provides each intent tensor Attach session identifier and role identifier Then, the epoch timestamp is written via the structure encapsulation service. .

[0037] Preferred, epoch timestamp This is a millisecond-level integer value, suitable for fine-grained scenarios such as short interruptions, overlapping interruptions, and partial confirmations. For example, in a call center complaint scenario, a customer says "Okay, okay, don't hang up yet," and the sales entity says, "I'll register you first." Although semantically they are interconnected, the subsequent step two needs to be treated as two nodes with different roles and adjacent moments. This results in two independent, time-traceable intent node structures being formed at the end of step one. For the subsequent step two, the direct benefit is that it no longer needs to read the original audio or message; it only needs to continue performing temporal cleansing or dwelling along the node chain corresponding to the session identifier.

[0038] In one implementation, the media decoding server adopts a dual-port architecture. One port connects to the core network optical splitter to receive voice and signaling packets, while the other port connects to the service platform interface to receive work order text. The voice is uniformly processed into a 16kHz, 16-bit mono pulse-code modulation stream and cut into continuous voice segments at fixed 20ms intervals. The text is cut into continuous text segments based on message boundaries or 128 Chinese characters per window. The feature processing server preferably uses page-locked memory to hold the original segments. Then use the same session identifier The client-side and sales-side channels are loaded into separate input queues to avoid role slot overlap during concurrent transfers. If the deployment environment does not have an independent GPU memory inference host, an edge inference board with equivalent forward mapping capabilities is used to execute the frozen perception base. The structure packet service is still output in the same field order, which ensures that the reading method in step two will not change when the implementation path extends from the central data center to the edge node.

[0039] In voice scenarios, relying solely on intent tensors It's easy to miss certain interactive signals that aren't conveyed through literal word content but rather through sudden changes in tone. Therefore, in step one, an acoustic frequency domain probe is connected in parallel with the cryo-sensing base via bypass. The acoustic frequency domain probe is used on the same original slice. Extract the fundamental frequency peak derivative and local speech rate derivative, and generate the emotion penalty coefficient. Then with the intention tensor Perform position-by-position multiplication and fusion.

[0040] The fundamental frequency derivative is obtained by the difference of the fundamental frequency between adjacent speech time windows, and the speech rate derivative is obtained by the difference of the articulation rhythm between adjacent speech time windows. For the first... For each speech time window, first determine the fundamental frequency of that time window. and rhythm counting Then calculate: as well as: in, Indicates the first The fundamental frequency of a speech time window can be obtained in engineering by autocorrelation method, cepstral method or equivalent fundamental frequency extraction method; Indicates the first The phonation rhythm count for each speech time window can be obtained in engineering from the number of effective phonation frames, the number of syllable boundaries, or the number of counts that reflect the local speech rate within that time window. Used to indicate whether the pitch suddenly rises or falls; It is used to indicate whether the speaking speed suddenly increases or decreases.

[0041] Among them, the emotional punishment coefficient : Refers to the scalar or scaled vector with the same dimension as the intended tensor output by the acoustic frequency domain probe, with a value range of . Weight parameters : Refers to the amplification factor of the fundamental frequency derivative channel, taking a non-negative real number; weighting parameter : The amplification factor of the speech rate derivative channel, with a value of a non-negative real number; bias parameter : Refers to the translation constant of the acoustic bypass, which takes a real value and is used to adjust the emotional punishment coefficient. Starting position; fundamental frequency derivative : This refers to the change in the main peak frequency of the current slice relative to the main peak frequency of the previous slice, and its value is a real number; speech rate derivative. : This refers to the change in the rhythm of the current slice relative to the previous slice per unit time, and is a real number; In the fusion process, the feature processing server performs the following: Where: Fusion tensor : Intended tensor With emotional punishment coefficient The fused output tensor takes values ​​similar to the intent tensor. Real vectors or real matrices of the same type; intention tensors : Same meaning as before, used to provide the result of literal semantics and context compression; Emotional punishment coefficient The meaning is the same as before; it is used for intent tensors. The amplitude at each position is synchronously scaled; bit-by-bit fusion operator : Refers to the Hadamard fusion operator that performs positional multiplication, taking the value of tensor-type positional multiplication, used to superimpose acoustic abrupt changes without altering the tensor topology; When the emotional punishment coefficient When the value is a scalar, it is applied to the intention tensor in a uniform scaling manner; when the emotion penalty coefficient is a vector of the same dimension as the intention tensor, it is multiplied bit by bit in a positional correspondence manner.

[0042] If the media decoding server detects frame corruption, out-of-order delivery, or missing frames during audio reconstruction, the fault filler does not delete that moment. Instead, it generates a zero-feature tensor with a default flag and writes it to the corresponding epoch timestamp. Positioning ensures the session timeline remains continuous. This is because step two relies on a continuous timeline for asymmetric attenuation; if corrupted frames are directly deleted in step one, subsequent attenuation windows will experience unprovoked jumps. If the system enters a plain text work order scenario, the bypass acoustic frequency domain probe does not participate, and the API gateway directly maps the JSON text stream with the role UID to the original slice. The data is then fed into the same cryogenic sensing base; if the inference host's memory usage approaches its limit, the degraded branch suspends the high-dimensional forward process and switches to the CPU's sparse term frequency engine to generate shallow term frequency vectors, continuing to use the session identifiers. Role Identification and Epoch Timestamp The same packet format is output. The direct effect of this is that, regardless of whether it is voice, text, abnormal frames, or degraded branches, step one can continuously output a consistent sequence of intent nodes, and the subsequent step two does not need to distinguish the entry path.

[0043] The acoustic frequency domain probe uses speech time windows as the calculation unit. It calculates the fundamental frequency and local rhythm counts for the current and previous time windows, respectively, and then calculates the difference between the two to obtain the fundamental frequency derivative and speech rate derivative. The fundamental frequency is determined by the peak frequency of the current time window, and the local rhythm counts are determined by the number of effective vocal frames or syllable boundary counts within the current time window. If there is no usable speech data in the current time window, the corresponding derivative is set to zero.

[0044] Furthermore, after the entry link role is staked and gradient locking is completed, the original interaction flow is transformed into a fixed intent node sequence after objective projection, structure encapsulation, and acoustic bypass fusion. Step two can directly perform asymmetric temporal cleaning according to role differences without having to go back to the original message to re-identify the role and time position.

[0045] Step 2: Based on role identification For fusion tensor Asymmetric time-series cleaning, reverse causal retrieval, and cleans-free residency are performed to reconstruct the session history into a backbone topology pool with low memory usage. This process is collaboratively executed by the memory scheduling server, time-series cleaning server, reverse causal retrieval server, and residency pool maintenance thread. The fusion tensor output from the first step Session identifiers are already available. Role Identification and Epoch Timestamp With three basic indexes, the core challenge in step two is no longer understanding the content, but rather how to preserve truly relevant segments that impact subsequent compliance boundaries without uncontrolled expansion of GPU memory. In two-way conversations, the customer side frequently engages in small talk, repetition, pauses, and single-word confirmations. While these are numerous, they don't necessarily carry the responsibility for inducing compliance. The sales side, on the other hand, provides fewer explanations, limitations, transitions, inducements, and evasive statements, but these are more likely to become the prelude to subsequent transgressions. If the conventional long-context mechanism is used to retain historical data equally on both sides, the GPU memory pool will continuously accumulate low-value nodes, drowning out truly traceable sales-side nodes amidst a large number of customer responses.

[0046] Therefore, step two employs a non-equalized timing process: client-side nodes are released abruptly, while sales-side nodes are released gradually. When a weak compliance or confirmation occurs on the client side in subsequent rounds, the sales-side inducing node that previously led to this result is retrieved in reverse, and a causal hard lock marker is injected onto it, skipping the cleaning step. This is consistent with common dialogue caching, and step two focuses on the chain of responsibility and the causal traction chain, in line with its context. Therefore, history is not entirely retained or deleted, but rather re-characterized along two lines: role weight and result tracing, ultimately generating a backbone topology pool that can be directly measured in step three.

[0047] In a preferred embodiment, the memory scheduling server continuously reads the fused tensor from the intent node structure sequence in step one. By session identifier Send to each session slot. Each session slot contains two residency lists: one for the client-side link and one for the sales-side link. The residency pool maintenance thread writes to the nodes in ascending order of the epoch timestamp and adds an initial residency value to each node. Causal hard-locking markers and topic paragraph markers Initial resident values ​​are used for subsequent exponential release calculations, and causal hard-locking is marked. For nodes that do not require cleaning, topic segment tags are used for generational segmentation during topic mutations. By configuring this, each action within step two does not need to be calculated based on the original message content; instead, the transport node-level object is calculated directly.

[0048] Preferably, the memory scheduling server is deployed on an inference host with independent memory, while the timing cleaning server and the reverse engineering server are deployed in different thread groups on the same host. If an edge card approach is used, independent session slots are hosted in memory with equivalent functionality or shared memory space. The resident pool preferably adopts a hybrid structure of a circular page table and a doubly linked list, with the page table responsible for organizing by session identifier. For location purposes, a doubly linked list is used to maintain forward time access and reverse backtracking access within a single session. The engineering intention behind this design is that forward release and reverse retrieval are naturally in opposite directions. If only a singly linked array is used, each reverse tracing requires a large-scale node relocation. By using a doubly linked list, the reverse retrieval thread can directly backtrack along the predecessor pointer, reducing additional memory copying.

[0049] When the resident pool maintenance thread receives a new intent node structure, it first determines its role based on the role identifier. Determine whether the node belongs to the customer-side link or the sales-side link, and then insert the corresponding node into the same session identifier. The insertion point is at the tail end. The insertion process here is not a simple queuing process, but rather a synchronous writing of a decay constant bound to the role, ensuring a differentiated release baseline when nodes enter the retention pool during subsequent cleaning. In other words, step two is not about retaining nodes first and then classifying them, but rather assigning weights upon entry into the pool to avoid duplicate judgments of the same batch of nodes during subsequent unified scanning.

[0050] The asymmetric release relation is written as: Where: Residency weight : This refers to the weight retained by a node at the current scan time. It is a real number greater than 0 and is used to determine whether the node continues to reside in the independent session slot; initial residency value. : The initial weight of a node when it is first written to the residency pool; a real number greater than 0; role decay constant. : refers to the character identifier The current node decay constant is determined and takes the value of a real number greater than 0. It is used to control how quickly the node is released over time. Character identifier : Refers to the role bit of the entity to which the node belongs; preferably, the value is 0 on the client side and 1 on the sales side; client-side attenuation constant. : Refers to the fixed attenuation constant of the customer-side link, which is a real number greater than 0; pin-side attenuation constant. : The fixed attenuation constant of the pin-side link, which takes the value of a real number greater than 0; time span : Refers to the current scan time and the node epoch timestamp The difference between them is a real number that is greater than or equal to 0; in, This indicates the initial residency weight when a node is written to the residency pool, which is uniformly assigned by the residency pool maintenance thread when a node is added to the pool; This represents the difference between the current scan time and the epoch timestamp of that node, which is directly calculated from the epoch timestamp output in step one; This represents the decay constant bound to the node role. Client-side nodes use a larger decay constant, while sales-side nodes use a smaller decay constant, to prioritize the release of client-side nodes and extend the residency of sales-side nodes. The system updates this constant based on the updated residency pool value during each round of residency pool scanning. The node is compared with a preset cleaning threshold, and a decision is made on whether to clean it.

[0051] During each round of scanning, the resident pool maintenance thread compares the resident weight of the current node with the preset cleaning threshold. If the current node does not belong to the minimum retention window, and the resident weight is lower than the preset cleaning threshold, and the corresponding causal hard lock flag is not set, cleaning is performed; otherwise, it is retained in the extended retention window.

[0052] Preferably, the customer-side attenuation constant Let the pin-side attenuation constant be defined. The ratio should be 10 to 40 times, with 20 to 30 times being preferable. Customer greetings and low-information responses typically occur in short bursts; slow attenuation will reduce the dwell time in the sales process. Conversely, if the attenuation ratio continues to increase, the crucial confirmation statements from the customer that truly convey cause and effect will be prematurely eliminated. For example, in a telemarketing scenario, if a customer repeatedly says "uh-huh," "I understand," or "Go on," these phrases will quickly lose weight; however, the sales pitches that previously conveyed incentives, downplayed risks, or shifted responsibility will be released slowly along the sales process.

[0053] Furthermore, the role differences are solidified into a release baseline after entering the pool, and subsequent scans will no longer repeatedly determine the corner; memory will be prioritized for pin-side nodes with prior significance. In streaming sessions, the arrival order does not always represent the semantic occurrence order.

[0054] Due to network jitter, transcription delays, and desktop ticket backfilling, nodes that occur earlier may arrive at the memory scheduling server later than nodes that occur later. If the memory is released directly in the order of arrival, the resident linked list will be reversed, and subsequent reverse retrieval will misjudge the actual preceding content as the later inserted content.

[0055] Therefore, each time the resident pool maintenance thread receives a new node, it will first use the epoch timestamp. The key is pre-padded and then the window is cleaned. In other words, the physical arrival order of the nodes only determines the temporary storage order, not the residence order.

[0056] In one implementation, there is a pre-insertion buffer in the independent session slot, the pre-insertion buffer length being 3 to 8 rounds; when the late node's epoch timestamp Within the time span covered by the pre-insertion buffer, the resident pool maintenance thread backtracks along the doubly linked list's predecessor pointer and inserts the late node into the correct position, then recalculates the time span of the affected node. and residency weight When a late node occurs, the initial endpoint of the pre-insertion buffer is placed at the beginning of the pre-insertion buffer. The already output trunk segment is no longer rewritten; instead, it is marked as a topic segment. Cut off the old and new sections to avoid a large amount of old nodes being recharged and disrupting the existing main trunk.

[0057] Specifically: The server first receives a relatively long explanation from the sales side, and then adds the "um" from the client side several hundred milliseconds earlier; the system does not append the "um" after the sales side's explanation, but inserts it back to the time position before the sales side's explanation, and then recalculates the release status of both.

[0058] To facilitate window cleaning, the time-series cleaning server sets a minimum retention window and an extended retention window for each independent session slot. The minimum retention window consistently covers the two most recent rounds of interactions to ensure uninterrupted connections in the current round; the extended retention window is determined by the residency weight. and causal hard lock marking Jointly decided, resident weight Still above the cleaning threshold and causal hard-locked flag Only nodes that are not set will be included in the regular retention decision.

[0059] Furthermore, step two corrects the pollution of the timeline caused by the out-of-order arrival without backtracking the original flow, and maintains the current round without interruption by using the minimum retention window, and compresses the old history by expanding the retention window, ensuring that the reverse salvage is based on the correct sequential relationship.

[0060] The key to step two lies not only in deletion, but also in identifying which old nodes cannot be deleted before deletion. When the customer-side link shows weak compliance, default acceptance, avoidance of follow-up questions, or final confirmation, the literal information of these nodes is often very thin, but it often means that a sales-side node has already completed the inducement. If the cleanup is still performed unidirectionally according to time sequence, the inducing node that actually triggered the compliance result will be released first, and the subsequent step three can only see the result, not the cause.

[0061] Therefore, upon detecting a weak confirmation node, the reverse salvage server immediately freezes the regular cleaning thread of the current independent session slot and switches to reverse scanning along the pin-side link.

[0062] The so-called confirmation node refers to a node in the client-side nodes that meets the confirmation triggering condition. The confirmation triggering condition refers to the appearance of a confirmation-type term in the text transcription result of the client-side node or the client-side node's intent feature meeting the similarity threshold condition with the preset confirmation-type reference feature. The reverse retrieval server only calculates the causal locking score when the confirmation triggering condition is met, and scans the candidate sales-side nodes in reverse order along the sales-side linked list within the preset backtracking window, starting from the timestamp of the current client-side confirmation node. When the causal locking score reaches the locking threshold, the corresponding sales-side node is marked with a causal hard lock.

[0063] In a preferred embodiment, the reverse salvage server first triggers the identification of weak confirmation nodes through keyword gates and tensor gates. Keyword gates include phrases like "um," "okay," "that's how it is," "I understand," and "I'll do it your way." Tensor gates directly read the fused tensor of the node. This is to determine whether the node is located within a preset weak confirmation area.

[0064] Then, the reverse retrieval server indexes the current client-side node. As a leading direction, scan the indexes of several previous pin-side nodes. To calculate causal locking score Their relationship can be written as: Where: causal locking score : Refers to the candidate sales side node index Index of the current client-side node The causal traction strength, taking a real value, is used to determine whether candidate pin-side nodes are retrieved and enter the no-cleaning dwell state; the pin-side fusion tensor : Refers to the candidate sales side node index The corresponding fusion tensor is a fixed-length real-number vector; the client-side fusion tensor... : Refers to the current weak confirmation node index on the client side The corresponding fusion tensor is a fixed-length real number vector. Inner product operator The second norm is a mapping obtained by multiplying two vectors of the same dimension position by position and then summing the results; it takes the value of a real number. : A function of the length of the square root of the sum of the squares of the pointer's components, taking the value of a non-negative real number; smoothing constant. : Refers to a positive real number that prevents the denominator from reaching zero; it is a real number with a value greater than 0; backtracking decay constant. : refers to the attenuation constant applied to the time difference during reverse scanning. It is a real number with a value greater than 0 and is used to suppress the spurious influence of too distant history on the current result; Epoch Timestamp : Refers to the current weak confirmation node index on the client side The epoch timestamp, with an incrementing value, is used to provide the moment the result occurred; epoch timestamp : Refers to the candidate sales side node index The epoch timestamp, whose value is earlier than or equal to the epoch timestamp. Time value; When causal locking score When the locking threshold is exceeded, the reverse retrieval server marks the corresponding pin-side node with a causal hard lock. Set the value to 1 and migrate the node to the no-cleaning residency segment. The no-cleaning residency segment doesn't independently copy the tensor; instead, it adds a read-only residency flag to the original node, ensuring it remains at its original timeline position and avoiding address drift caused by copying. For example, in a customer service persuasion scenario, the sales representative initially states that this process won't affect your existing rights. After several rounds, the customer says, "Then please process it for me first." The system will take this customer confirmation as the result, retrieve previous sales representative reassurance statements from back to front, and hard-lock their causal relationships. Set.

[0065] Furthermore, step two preserves the antecedent nodes that truly trigger the result, so that in the subsequent step three, we can see not only the result statement but also its source.

[0066] In some sessions, the sales entity may suddenly switch topics, replacing the old topic with a new one. If the two pieces of content are still placed in the same continuous trunk, the subsequent step three will simultaneously face multiple mutually contaminating semantic surfaces. To address this, the time-series cleaning server calculates the topic drift angle for adjacent nodes and triggers a generational break when the topic drift angle enters the obtuse angle range.

[0067] The topic drift angle is calculated by first processing the adjacent fusion tensors. Perform L2 norm normalization, then perform an inner product operation on the normalized vectors, and input the result into the arccosine table to obtain the included angle. If the included angle falls within a preset obtuse angle interval, it indicates that the current topic has a significant bias towards the previous topic. The resident pool maintenance thread immediately ends the extended retention window of the previous topic segment and writes the subsequent nodes into the new topic segment marker. Thus, the old topic has been marked with a causal hard lock. Protected nodes can still be retained, but they will not be mixed with ordinary nodes of the new topic in the same trunk segment. The arccosine table is preferably pre-stored in a read-only lookup table, and the input interval is fixed. The output range is fixed. The resident pool maintenance thread reads the included angle value using linear interpolation, thereby avoiding repeated calls to the general mathematical library during high concurrency.

[0068] As a supplement: the fusion tensor of two adjacent nodes and First, calculate its normalized inner product, then obtain the subject drift angle using the inverse cosine function. : in, Represents the inner product of two fused tensors; and Let each represent the L2 norm of the two fused tensors; To prevent the smoothing constant from having a denominator of zero; The theme is the drift angle. When When the value exceeds the right angle threshold, the system will write the current node into a new topic segment.

[0069] When the memory scheduling server detects that memory usage is approaching its limit, the extreme degradation thread terminates the non-linear decay and reverse scanning, retaining only the fixed-length first-in-first-out circular queue from the two most recent interactions, and using the session identifier. Role Identification Epoch Timestamp Causal hard-locking markers With topic paragraph mark The same field is output sequentially. If the operating environment is a plain text work order system, the aforementioned topic drifting and reverse retrieval still hold true, only the fused tensor... Without acoustic components, the resident linked list is updated based on text message arrival events; if the operating environment is a weak computing power edge node, the reverse scan length is shrunk to the three nearest pin-side nodes, but causal hard lock marking is used. and topic paragraph markers The syntax remains unchanged. Finally, the time-series cleaning server encapsulates all nodes still in the reserved state into the backbone topology pool in chronological order. and the backbone topology pool The process is then handed over to step three to continue with external map ranging.

[0070] Furthermore, step two can proactively cut off contamination and maintain field continuity and output interface stability even when resources are insufficient, ensuring that step three can always obtain a backbone topology pool with an identical structure. .

[0071] Thus, customer-side release reduces retention, while sales-side mitigation and reverse retrieval retain the inducing antecedent, and topic segment marking... The periodic segmentation limits cross-topic contamination. The subsequent third step no longer accepts the full history, but a condensed backbone with a causal framework and role weights, so that the geometric ranging of the external knowledge graph can directly fall on truly bounded nodes.

[0072] Step 3: Connect the backbone topology pool The session backbone features are transformed into non-Euclidean boundary distances relative to external compliant anchors, and encapsulated into boundary scalar matrices that can be directly distributed by step four. It is executed collaboratively by the graph hot-switching server, distance metric server, double-buffered memory management thread, subgraph routing thread, and boundary scalar encapsulation service, and directly connects to the backbone topology pool output in step two above. .

[0073] Step two has compressed the entire session history into a backbone topology pool. However, this backbone topology pool It remains merely a feature set carrying a framework of roles, time, and causality, and does not inherently correspond to a specific regulatory boundary. If the common neural network classification layer is still used, downstream parameters need to be fine-tuned when adding or deleting rules, which would drag the perception base, which was physically frozen in step one, back into a business-coupled state. Therefore, step three chooses another link: transferring the judgment benchmark from the black-box classification layer to a physically externalized structured compliance knowledge graph, where the regulatory anchors in the graph handle boundary definition, and the backbone topology pool... The topological segment in the test is used to represent the object to be tested, and the geometric distance is used to replace the classification activation output.

[0074] Step 3 includes: storage coordination, where the dual-buffered memory management thread separates the graph read buffer and the graph write buffer; regulatory version updates are written to the graph write buffer, and the graph read buffer does not interrupt the ranging thread; and spatial coordination, where the subgraph routing thread first determines the subgraph based on the topic segment label. and causal hard lock marking From the backbone topology pool The topology segments are concatenated and then projected onto the anchor cluster in the regulatory domain. In the decision coordination, the distance measurement server measures the non-Euclidean distance between the topology segments and the anchors, compressing the distance into a uniform-scale boundary scalar matrix through a boundary scalar encapsulation service. .

[0075] In a preferred embodiment, the map hot-switching server pre-maintains the main regulatory map, industry sub-maps, and clause sub-maps. Figure 3 Layered structure. The main regulatory diagram provides the major category red-line areas, the industry sub-diagrams provide the business sub-domains, and the clause sub-diagrams provide anchor vectors that can be directly aligned. Each anchor record preferably includes an anchor identifier, version identifier, parent link, anchor vector, boundary radius parameter, and prohibited direction identifier. Backbone topology pool. Upon arrival, the subgraph routing thread first sorts by session identifier. Divide into buckets, then mark by topic section. Divide into several topological segments, and then hard-lock according to the causal tags within the topological segments. The distribution of the topology segment determines whether it enters the high-priority ranging queue.

[0076] In one implementation, the map hot-switching server and the distance metric server are the same inference host with error-correcting video memory. The read buffer and write buffer use separate page block groups, with each page block group using a page granularity mapping of 4 kilobytes to 64 kilobytes. The anchor vector is selected from the fusion tensor. If a 768-dimensional single-precision floating-point array of the same dimension is deployed on an edge board with weak computing power based on ARM architecture, a fixed-length bit string fingerprint after hash compression is used, and the order of anchor point identifier, version identifier and boundary radius parameter remains unchanged.

[0077] The primary task of the map hot-switching server is not to immediately measure distances, but to ensure that when the map version is updated, the distance measurement thread does not read a torn state where half of the map is old and half is new.

[0078] To this end, the double-buffered memory management thread maintains a graph read buffer and a graph write buffer in physical memory for an extended period, both using anchor page blocks as the smallest loading unit. New regulations, revised provisions, and changes to prohibited directions are first written to the graph write buffer. After page block verification is completed, an atomic pointer flip is performed to point the current read pointer to the new page block group. The page block verification preferably includes at least version continuity verification, parent link closure verification, and anchor vector dimension verification.

[0079] Its hot-switching relationship is written as: In the formula: read pointer : The map read pointer, which is used by the distance measurement server to continue reading after the hot-swap is completed, is a memory address pointing to the beginning of a certain page block group; the current read pointer. : Refers to the graph read pointer before the atomic flip, and its value is the memory address pointing to the beginning of the old page block group; old page block pointer : This refers to the starting address of the old map page block group that is expected to still be occupied during the comparison. It is a memory address and is used to ensure that flipping is only allowed when the read buffer still points to the old page block group. New page block pointer : Refers to the starting address of the page block group in the map write buffer that has been loaded and verified; the value is a memory address; atomic alignment replacement operator. This refers to an atomic memory operation that compares the current read pointer with the old page block pointer. If they match, the new page block pointer is replaced. The value is an indivisible underlying pointer update process. For example, in a financial communication scenario, when regulatory maintenance personnel add a new set of fee disclosure clause subgraphs, the graph hot-switching server writes the new anchor points into the graph write buffer and performs dimension verification and parent link closure verification. After the verification is completed, the double-buffered memory management thread performs atomic comparison replacement operator CAS. When the distance measurement server reads the pointer again, it automatically switches to the new graph, and the previous distance measurement thread will calculate along the new graph.

[0080] Furthermore, the rule update is fixed at the graph page block layer, the frozen sensing base in step one remains stationary, and the ranging thread will not have intermediate state reading of half of the graph due to version switching.

[0081] After the graph reading entry point stabilizes, the subgraph routing thread begins processing the backbone topology pool. Since step two has already utilized topic segment tags. By segmenting different topics, step three does not require projecting the entire conversation as a whole; instead, it marks the topics as segments. Divide the continuous nodes into several topological segments, and then mark them within each topological segment according to causal hard locking. The distribution assigns higher clustering weights to key nodes. If only a simple average of all fused tensors is used... The inducing antecedent nodes that are specially preserved in step two will be diluted by ordinary nodes, and the subsequent correspondence with the regulatory anchor points will become blurred.

[0082] For this subgraph routing thread, first process each topology segment Construct the segment center vector .

[0083] In a preferred embodiment, if the node is located by a causal hard-locking marker, its clustering weight is less than that of a normal node; if the node is at the beginning or end of a topic segment, its clustering weight is greater than that of the middle part of the topic segment, in order to eliminate the bias of segment edge words and phrases on the segment center. The segment center construction relationship is as follows: Where: segment center vector : refers to topology segment The clustering representation before ranging takes the value of the fusion tensor. A real vector of the same dimension is used as the object to be measured in subsequent non-Euclidean boundary distance measurements; topological segment : refers to marking by topic paragraph The cut A set of consecutive nodes, whose values ​​are a set of node indices; node index : refers to topology segment The location marker of a single node within the array, with a value of a positive integer; Cluster weight : refers to the node index For segment center vector The contribution strength is a real number greater than 0; the fusion tensor : refers to the node index The corresponding fusion tensor, a fixed-length real-number vector, is used to provide the feature content of the nodes; weight coefficients : refers to causal hard-locking markers The magnification factor is greater than or equal to The real number is used to increase the proportion of clusters that are retrieved and locked in step two; Causal hard lock marking : refers to the node index The marker indicating whether the device is in a no-clean dwell state is preferably set to 0 when not set and 1 when set; weighting coefficient. : refers to the position correction factor The magnification factor, which is a real number greater than or equal to 0, is used to adjust the position of the topic segment edge relative to the segment center vector. The influence of position correction factor; : refers to the node index In the topology segment The relative position correction within the range, taking the value of a non-negative real number; The position correction coefficient is obtained based on the relative position of the node in the current topology segment. Nodes located at the beginning and end of the current topology segment are assigned smaller position correction coefficients, while nodes located in the middle of the current topology segment are assigned larger position correction coefficients to suppress the skewness of the segment center vector caused by the segment edges.

[0084] Segmental center vector Upon obtaining the subgraph, the subgraph routing thread does not immediately send it to the entire anchor cluster. Instead, it first performs coarse routing with the class domain anchors of the main graph. In the coarse routing phase, Euclidean distance or affine distance is preferred to quickly filter out candidate subgraphs, and then the segment center vectors are... The anchor point clusters within the candidate subgraphs are used for precise ranging. For example, if the key nodes within a certain topology segment are concentrated in the sales side's guidance on opening the account first and then supplementing materials, the subgraph routing thread will first send them to the two candidate subgraphs of account opening process and disclosure obligation, instead of indiscriminately sending them to the identity verification or collection restriction subgraph.

[0085] Furthermore, the causal framework retained in step two is weighted by coefficients. Continuing into the segment center vector And it decomposes the memory access caused by full graph traversal through coarse routing.

[0086] After the candidate subgraph is narrowed down, the distance metric server uses the segment center vector. and clause anchor vector Simultaneously, it is projected to a non-Euclidean ranging kernel. Ordinary Euclidean distance is no longer used because the regulatory boundary is not a sphere, and the multiple clause anchor points involved often have parent-child nesting, forbidden direction offset, and boundary curvature. If linear plane ranging is selected, the topological segments that are close neighbors but different clause domains will be miscompressed into the same plane neighboring area.

[0087] Step 3 involves using the geodesic distance from the Poincaré sphere model to determine the segment center vector. With the anchor vector of the clause Constrained within a unit sphere, calculate the length of the shortest path between the two along the surface.

[0088] Specifically, the boundary distance measurement relationship is written as follows: Where: boundary distance : Refers to the topology segment index With Article Anchor Index The non-Euclidean geodesic distance between them is greater than or equal to The real number is used to characterize the proximity of the topological segment to be tested relative to the anchor point of the clause; the segment center vector : Same meaning as before, used to provide the location of the topology segment to be tested; Clause anchor vector Article anchor index In the unit sphere, coordinate vectors with a norm less than 1 are real-valued vectors. These vectors are read from the corresponding anchor records in the current version of the structured compliance knowledge graph and normalized to the unit sphere when written to the graph. Smoothing constant. Avoid denominators approaching 0 for positive real numbers, real numbers greater than 0, and keep the values ​​near the Poincaré sphere unchanged; inverse hyperbolic cosine function Number: The inverse function of the hyperbolic cosine function, a monotonic function that gives a non-negative output to an input greater than or equal to 1; When the boundary distance Once obtained, the boundary scalar encapsulation service compresses it into a unified closed interval based on the boundary radius parameters inherent in each anchor point, which can then be read in step four. Its encapsulation relationship can be written as: Where: boundary scalar : Refers to the topology segment index Relative clause anchor index The standardized boundary values, with a range of values ​​of . This is used as the direct input for performing layer blocking and grayscale pre-compression in step four; boundary radius parameter : Refers to the anchor index of the clause The boundary radius parameter takes the value of a real number greater than 0; the boundary distance... The meaning is the same as before, used in conjunction with boundary radius parameters. Together, they determine whether the current topology segment is in the safe zone, gray zone, or out-of-bounds zone; compression slope parameter : Refers to the slope parameter of the boundary scalar encapsulation curve, which takes the value of a real number greater than 0, and is used to control the boundary radius parameter. The nearby areas are distinguished by their steepness; Taking online agent text conversation as an example, when the segment center vector After the corresponding core message is sent into the cost disclosure subgraph by the coarse routing, the distance metric server will read the anchor vector of each clause in the subgraph one by one. Calculate boundary distance Then output the corresponding boundary scalar. If the boundary scalar of a certain anchor point. Near the high end of the closed interval, the boundary scalar encapsulation service is not directly blocked at this step, but is written into the boundary scalar matrix as is. Then, step four continues to perform threshold pre-pressurization and block release.

[0089] Furthermore, step three replaces the black-box classification output with geometric ranging; adding or deleting rules only requires modifying the anchor vector. or boundary radius parameter No need to rewrite the front-end awareness parameters.

[0090] To ensure the same inventive concept covers different deployment conditions, step three, after completing the main route, retains two equivalent engineering paths. One is a weak computing power alternative path, suitable for situations where edge ARM boards or processor vector units are insufficient to handle high-dimensional floating-point ranging. In this case, the map hot-switching server transfers the segment center vector... With the anchor vector of the clause The data is uniformly compressed into a locality-sensitive hash bit string, then the hardware XOR gate array is used to read the Hamming bit width, and finally the approximate boundary scalar is calculated using a pre-programmed bit width mapping table. Although the ranging kernel has switched from a Poincaré sphere model to bit string comparison, the anchor point identifier, version identifier, boundary radius parameter, and boundary scalar matrix are still used. The field order remains unchanged. The second is the disconnection / downgrade path, applicable when the external vector database or graph update service is temporarily unavailable. In this case, the subgraph routing thread skips high-dimensional ranging and instead loads a static high-frequency prohibited word inverted dictionary from local read-only storage, and then places it in the segment center vector. The corresponding original node text backreference cache performs regular expression short-circuiting matching, and then maps the matching result to a conservative boundary scalar and writes it into the boundary scalar matrix. .

[0091] In one specific embodiment, if the enterprise front-end Software as a Service (SaaS) chat interface is unable to access the cloud graph service due to external network jitter, the graph hot-swapping server will stop requesting remote subgraph updates and directly load the most recently solidified static text page block from the local read-only memory; after the distance measurement server detects that the high-dimensional graph is incomplete, it will automatically switch the current round of backbone topology pool. Each topological segment in the algorithm is pointed back to the local text cache, static term comparison is performed segment by segment, and the generated conservative boundary scalars are filled into the boundary scalar matrix. The corresponding position.

[0092] Furthermore, even if the ranging kernel is replaced or downgraded, step four still receives a boundary scalar matrix with a fixed structure. The blocking link will not be interrupted due to the deployment environment. The final compressed boundary scalar matrix. The regulation version switching of the map double buffer ensures the safety of the currently running ranging thread. The causal hard lock mark still affects the segment center vector through the cluster weight. The non-Euclidean geodesic distance incorporates the hierarchical curvature between regulation anchor points into the boundary determination.

[0093] Step 4: Convert the boundary scalar matrix Transformed into a layered blocking action, grayscale pre-press threshold, and isolated persistent suspended residual array This process is completed collaboratively by the boundary distribution server, threshold pre-pressure server, blocking execution server, residual suspension server, asynchronous dump bus, message queue gateway, and terminal action adapter, and continues to process the boundary scalar matrix output from step three. .

[0094] The boundary scalar matrix Indexed by each topology segment Relative to anchor points of each article Boundary scalar composition.

[0095] The boundary scalar matrix output in step three The backbone topology pool has been configured. Each topology segment in the matrix is ​​projected onto the anchor coordinate system of the external compliance knowledge graph. However, this matrix is ​​still an intermediate quantity for judgment and has not yet become an execution signal that can be sent to the core network, front-end interface, or out-of-band control board. If the system still uses a fixed threshold here and makes a binary decision based on whether the boundary is crossed once, two types of weak areas will appear: First, edge-probing attempts that linger on the edge of the red line will continuously bypass the interception; second, sessions that have not yet triggered blocking but have repeatedly approached the boundary will not leave continuous traces, and step five will lose the residual signal required for subsequent correction.

[0096] Therefore, when the boundary principal value repeatedly jumps into the gray area, the forward-pressurized link will continuously compress the blocking red line threshold of the current session in subsequent rounds, making it easier to truncate in the next judgment; the suspended link will isolate and write the frequently touched free topology segments that have not been melted down, as well as the correction tags from the subsequent manual quality inspection backflow, into the suspended residual array. .

[0097] In a preferred embodiment, the border distribution server is based on session identifiers. Reading the boundary scalar matrix First, set the boundary scalars of multiple texts within the same session. Aggregate the boundary principal values ​​at the topology segment level, and then correlate the boundary principal values ​​with the safety green line threshold. and blocking red line threshold Comparison. If the boundary principal value is below the safety green line threshold. If the boundary principal value is within the safe green line threshold, then only the session cache is updated; With blocking red line threshold If the boundary principal value crosses the blocking red line threshold, it is sent to the threshold pre-press server; If so, it will be sent to the blocking execution server to trigger cross-level truncation.

[0098] In one implementation, the boundary distribution server, threshold pre-pressure server, and residual suspension server are deployed on the same industrial server, while the blocking execution server is deployed on the core network edge control node. Control frames are used between the boundary distribution server and the blocking execution server, with fields including session identifier, topology segment index, action code, threshold snapshot, execution channel number, and timestamp. The judgment, pre-pressure, action issuance, and residual dumping in step four each correspond to a clearly defined execution entity. During engineering integration testing, the boundary distribution server also synchronously writes in-session action snapshots, checking at least whether the action code corresponds to the session identifier, whether the threshold snapshot was successfully written back after the current round, and whether the same topology segment only generates one action. This integration testing process does not change the business flow; it is only used to confirm that the timing connections between the distribution link, pre-pressure link, and suspension link do not overlap.

[0099] As a supplement: For each newly established session, the boundary distribution server creates a corresponding threshold state object, which includes at least the safety green line threshold, the blocking red line threshold, and the forward pressure integral. The threshold state object is reset or released after the session ends, the session is blocked, or the corresponding anchor point write-back is completed in step five.

[0100] Boundary scalar matrix The column dimension corresponds to the anchor point of the text, and the row dimension corresponds to the topology segment index. If a direct column-by-column comparison is performed, each text will trigger dispatch independently, which can easily lead to multiple repetitive actions within the same round in a single session. Therefore, the boundary dispatch server first indexes the same topology segment. All boundary scalars Perform aggregation to form the boundary principal values ​​at the topology segment level. Then, based on the boundary principal values Perform a split. This aggregation process does not simply take the maximum value, but rather pushes the proximity of multiple anchor points into the same envelope value according to the anchor point weight, in order to prevent multiple medium-risk anchor points from being missed by a single point of judgment when they are scattered.

[0101] Specifically, its aggregation relation is written as: Where: Boundary principal values : Refers to the topology segment index The comprehensive boundary value is taken as: Used as the basis for subsequent hierarchical distribution; boundary scalar : Refers to the topology segment index Relative to the anchor index of the clause The standardized boundary values ​​are denoted as . Total number of articles : Refers to the number of anchor points of the current candidate subgraph participating in aggregation, with a value that is a positive integer; : Item weight : Refers to the anchor index of the clause In the comprehensive boundary principal value The contribution coefficient in the multiplication operator takes the value of a real number greater than 0. This refers to the continuous multiplication operation, used to combine the proximity of multiple clauses into a single envelope. The boundary distribution server obtains the boundary master value. Then, immediately process according to the three-stage flow direction. If the boundary principal value Below the safety green line threshold If the boundary primary value is not updated, then the topology segment only updates the session cache; Not lower than the safety green line threshold And below the blocking red line threshold Then the boundary distribution server forwards the topology segment to the threshold preload server; if the boundary master value Not lower than the blocking red line threshold If so, the boundary distribution server will write the action code as a truncated code and forward it to the blocking execution server.

[0102] For example, in a telephone agent interaction, the sales entity first avoids mentioning a fee, then asks the customer for immediate confirmation; both clause anchors are bounded by boundary scalar matrices. The boundary distribution server first sets the boundary scalars within it. Aggregate as boundary principal values This once again determines whether the topology segment will enter the gray zone or enter the truncated link.

[0103] Multiple boundary conditions are compressed into a single distribution basis, avoiding repeated commands for the same topological segment in a single round, and providing a stable input for grayscale integration. When the boundary principal value... Greater than the safety green line threshold and blocking red line threshold The threshold-based preload server will not directly interrupt the current session, but will first convert the topology segment into grayscale depth. The information that the topological segment still has a margin from the red line is treated as a continuous quantity, rather than treating the gray area as a single switch. Gray depth The larger the value, the closer the current topology segment is to the blocking red line threshold. If this state occurs multiple times within the same session, the threshold preload server will successively reduce the blocking threshold in subsequent rounds. This also causes the tolerance zone to narrow gradually.

[0104] Among them, grayscale depth The construction relation is written as: Where: grayscale depth : Refers to the topology segment index At the safety green line threshold With blocking red line threshold The normalized position between them takes the value Used as threshold pre-pressure input; boundary principal values : Same meaning as before, used to provide the comprehensive boundary location of the current topology segment; safety green line threshold : This refers to the lower bound threshold for continuing the session, and its value is [value missing]. ; Blocking red line threshold : Refers to the upper limit threshold for a session entering a directly blocked link, with a value of And greater than the safety green line threshold Smoothing constant : Refers to positive real numbers that prevent the denominator from being zero, used for stable normalization calculations; The threshold pre-pressure server obtains the grayscale depth Subsequently, instead of introducing a derivative term, a forward-compression proportional-integral structure is adopted. This is because the boundary scalar matrix... Derived from discrete topological segments, if derivative terms are directly introduced, the boundary principal values... Short-term jitters will be amplified into threshold fast jumps.

[0105] Therefore, this implementation freezes the derivative term to zero, retaining only the proportional and integral terms, and performs in-session accumulation on the integral. The relationship is written as: Where: the updated blocking red line threshold : This refers to the threshold value for the next round of blocking red lines after the current topology segment is processed and written back to the session cache. Used to determine when to trigger direct truncation in subsequent rounds; blocking red line threshold. : Same meaning as before, used to provide a session blocking baseline before retraction; Scale factor : refers to grayscale depth For the current round of blocking red line threshold The instantaneous compression factor is a real number with a value greater than 0; the integral factor... : refers to the integral of the forward pressure Updated blocking redline threshold The cumulative compression coefficient is a real number with a value greater than 0. grayscale depth : Same meaning as before, used to provide the edge-fitting degree of the current topology segment; forward pressure integral. : Refers to the amount of gray area edge-attached data accumulated in the session before the current moment, with a value greater than or equal to 0; the pre-pressure integral after the update. This refers to the new integral value after processing the current topology segment. It is a real number greater than or equal to 0 and is used to write back to the session cache for use in the next round. (Time span) : This refers to the time interval between the current topology segment and the previous gray area topology segment, and its value is a real number greater than or equal to 0; In one embodiment, the customer twice asks for clarification, and the sales side continuously uses vague descriptions to avoid significant risks. The first three topology segments all enter the gray zone, and the threshold-adjusted server keeps retreating to block the red line threshold. In the fourth topological segment, the boundary principal values ​​of the same magnitude... Once the system enters the cutoff zone, it no longer passively waits for a single out-of-bounds violation, but instead pushes forward and pursues multiple borderline behaviors.

[0106] When the boundary principal value Crossing the blocking red line threshold At this time, the blocking execution server reads the control frames sent by the boundary distribution server and selects the execution channel according to the deployment mode. In the deployment mode where the core network is controllable, the blocking execution server maps the action code to the physical truncation signaling and writes the disconnect command to the edge network element through the session control interface; in the deployment mode where the enterprise front-end software as a service interface cannot directly control the core network, the terminal action adapter pushes a high-priority masking command to the front-end interface, locks the input box, covers the blocking pop-up window and freezes the send button; when the blocking link encounters high-frequency congestion, the blocking execution server suspends the regular signaling channel and switches to the out-of-band control board to execute local hardware alarms.

[0107] In one embodiment, the out-of-band control board includes an optocoupler, a transistor driver stage, relays, and a buzzer unit, with the server's general purpose input / output pins outputting... When the voltage level is high, the relay coil is amplified by the transistor driver stage, closing the relay and triggering a continuous beeping sound from the buzzer unit. When the pin drops back to a low level, the relay releases. This out-of-band control board does not handle algorithm calculations; it only performs the minimum physical actions when the conventional signaling channel fails. Isolation boards with equivalent functionality are also applicable. The blocking execution server is responsible for issuing pin level transition commands, the terminal action adapter is responsible for injecting front-end masking code, and the edge network element is responsible for receiving disconnection commands. For example, in an enterprise front-end chat system, the front-end interface cannot perform core network disconnection due to permission restrictions, but the terminal action adapter still pushes a masking script to the browser rendering layer, causing the input box to immediately lose focus and cover the blocking prompt. If the control interface encounters congestion at the same time, the blocking execution server will also simultaneously issue a buzzer command to the out-of-band control board.

[0108] Furthermore, regardless of whether the execution end is located in the core network, the front-end interface, or a local board, step four can ensure that the same control intent is applied to a specific action, and maintain minimal action even when the link is congested. In addition, after the action receipt is returned, the blocking execution server writes the execution channel number, receipt time, and session identifier back to the current session cache, allowing the threshold pre-pressure server to determine in subsequent rounds whether to continue retaining the pre-pressure points. This avoids the timing misalignment where the session has been terminated but the points continue to accumulate.

[0109] The other link in step four is the residual suspension server. It does not focus on the already truncated topology segments, but rather on the topology segments that have been truncated and repeatedly touched. If these topology segments are treated as currently not blocked and do not need to be retained, then step five will not know which sessions are still existing in the gray area, nor will it know where the correction labels for subsequent manual quality inspection should be.

[0110] Therefore, the residual suspension server suspends topology segments that meet the following two conditions: the first topology segment enters the gray area and oscillates, and the second topology segment is placed afterward. The cycle received a return and correction label from manual quality inspection.

[0111] To ensure that suspensions have enforceable filtering rules, the residual suspension server calculates a suspension priority value for each topology segment. And decide whether to write them into a hot queue or a cold queue.

[0112] Their relationship can be written as: Where: Suspension priority value : Refers to the topology segment index The strength of being dumped into a high-priority suspension path, a real number greater than or equal to 0, used to determine the suspension and dump order; weighting coefficient. : refers to grayscale depth Priority value for suspension The contribution coefficient, a real number greater than or equal to 0, is used to reflect the current edge-fitting degree; grayscale depth. The meaning is the same as before; it is used to indicate how close the current topological segment is to the blocking area. Weighting coefficient : refers to the number of oscillations Priority value for suspension The contribution coefficient, taking values ​​greater than or equal to 0, is a real number; the number of oscillations. : Refers to the topology segment index The cumulative number of times a character falls into the gray area again within the current session, with a value greater than or equal to 0; weighting coefficient. : refers to the causal hard-lock density on the priority value of suspension. The contribution coefficient, taking values ​​greater than or equal to 0, is a real number; causal hard-locking flag. : refers to topology segment Internal node index The causal hard lock state, with a value of 0 when not set and a value of 1 when set, is used to reflect whether the topological segment contains antecedent nodes that are specially reserved in step two; Topology segment : This refers to the distance measurement front edge used in step three up to step four. A set of consecutive nodes, whose values ​​are the node indices, is used to limit the statistical range of causal hard lock density; the cardinality of the set... : refers to topology segment The total number of nodes, taking a positive integer value, is used for marking causal hard locks. Perform density normalization; smoothing constant : Refers to positive real numbers that avoid having a denominator of zero, used to maintain stability in density calculations; When suspend priority value When the hot queue threshold is exceeded, the residual suspension server writes the topology segment to the hot queue of the asynchronous dump bus; otherwise, it writes it to the cold queue. The dump message preferably uses a fixed field order, including the dump identifier, session identifier, topology segment index, pending gray zone tensor sequence, threshold snapshot, oscillation count, and... Correction label field. If the manual quality inspection system returns a correction label in the later cycle, the message queue gateway does not rewrite the original historical message, but appends a receipt message associated with the dump identifier, and the residual suspension server binds the two to a suspended residual array. The same element. For example, if a session falls into the gray zone three times consecutively but is never truncated, and the next day manual quality inspection determines that the processing conclusion of the second topology segment is too lenient, then the residual suspension server will append and bind the original unresolved gray zone tensor sequence and the correction label to the same dump identifier, forming a suspended residual array that can be directly read in step five. .

[0113] Furthermore, step four separates the currently unresolved gray area remnants from the main execution chain and saves them independently. Simultaneously, the post-correction receipts are merged into the same object according to the dump identifier. Before dumping, the message queue gateway performs field completeness and sequence checks. If the unresolved gray area tensor sequence is found to be missing a threshold snapshot or an oscillation count field, the message will not enter the suspended residual array. Instead, the residual object is returned to the server for repackaging to ensure that each residual object received in step five has the same field skeleton.

[0114] Step 5: Keep the cryosensor base stationary to suspend the residual array. As the ignition source, the anchor vector of the text in the external graph. A restricted slip correction is performed, and the corrected anchor point coordinates are read back as the new location in the map. The task is completed jointly by the evolution hub server, the neighborhood scan thread, the force field solution thread, the atomic overwrite thread, and the integral zeroing thread.

[0115] Step four has isolated the gray area residuals that are difficult to process in the current execution chain into a suspended residual array. However, if these residuals are simply stored without further processing, they only serve an archiving function and cannot change the tendency of subsequent sessions to misjudge on the same boundary. On the other hand, if the correction requirement is sent back to the frozen sensing base in step one and the gradient lock is released, the system will revert to end-to-end retraining mode, and the external graph ranging system will be forced to give way to black-box parameter fine-tuning, thus breaking the aforementioned decoupling chain. Therefore, step five chooses a closed loop opposite to the conventional fine-tuning path: instead of modifying the front-end sensing, it directly modifies the anchor vector of the text read in step three. Spatial coordinates.

[0116] Specifically, if only a single correction label is used to define the anchor vector of a text... When the target for correction is brought closer, the legal domain in the vicinity is encroached upon, and the originally separated multifaceted boundaries are further divided and occupied. In step five, two types of constraints are introduced into the correction object: one is a positive traction pointing towards the correction target, ensuring that the missed anchor point moves along the correct boundary; the other is a multi-body repulsion pointing towards nearby legal anchor points, ensuring that the moving clause anchor point vector... The neighboring region is crushed. Therefore, step five is a constrained evolutionary closed loop rather than an artificial change of points.

[0117] In a preferred embodiment, all the above actions are initiated by the evolution hub server and executed by different threads. The residual listening thread listens for the suspended residual array output by the message queue gateway. When the same dump identifier exists in both the pending gray area tensor sequence and the correction label field, the residual monitoring thread invokes the neighborhood scan thread. The neighborhood scan thread then uses the dump identifier to look up the anchor point hit record obtained in step three to locate the original hit clause anchor point index. Simultaneously, the topology segment index corresponding to the anchor point is recovered from the unresolved gray area tensor sequence. Then, the topology segment index is read through the force field solving thread. Corresponding segment center vector Original clause anchor vector The set of nearest legal anchor points and the target anchor point mapped by the correction label are used to solve the restricted slip path.

[0118] In one implementation, the evolution hub server is deployed on a standalone industrial server, employing dual CPUs, error-correcting memory, and a 64-bit operating system supporting atomic pointer flipping. The neighborhood scan thread and the force field solution thread share the read-only mapping area of ​​the graph page block, while the atomic overwrite thread exclusively occupies the write mapping area. The residual array is suspended. Each element maintains a fixed field order, allowing the residual listening thread to directly extract the pending gray zone tensor sequence, threshold snapshot, and correction label fields without parsing the original message. With this setup, step five processes a set of closed-loop objects with a fixed structure and complete fields.

[0119] The residual listening thread suspends the residual array. During polling, a single pending gray area tensor sequence is not used as the trigger condition. Instead, it is triggered only when all correction label fields under the same dump identifier are available. This is because a single pending gray area tensor sequence can only indicate that a session has traversed the boundary, but it cannot indicate which clause anchor vector in the graph. Needs to be moved; only when rear-mounted. Only when the periodic manual operation returns the correction label field does the system possess both the original boundary hit point and the target boundary that should have been hit. Therefore, the first action in step five is to perform bidirectional pairing: one end is to suspend the residual array. The unresolved gray area tensor sequence is located at one end, and the correction label field corresponding to the same dump identifier is at the other end.

[0120] After pairing is complete, the neighborhood scan thread first finds the original text anchor index based on the anchor hit index table retained in step three. Then, based on the correction label field, locate the correction target vector in the current map read buffer. The target vector for correction here. Instead of arbitrarily re-entered coordinates, these are coordinates mapped from the correction label field to the target clause anchor point coordinates in the existing graph. This ensures that the correction direction always falls within the existing regulatory graph coordinate system, preventing the introduction of off-graph scatter points. If a session initially hits an insufficient number of clause anchor points for information reminders, but manual quality control determines it should fall into the missing fee disclosure clause anchor point, the neighborhood scan thread will locate the original clause anchor point index. Corresponding clause anchor vector And read the correction target vector corresponding to the missing cost disclosure from the graph. .

[0121] Furthermore, the subsequent slip in step five is based on the original hit-should-hit pairing constraint, rather than blindly modifying points.

[0122] Furthermore, to avoid drift in localization results during hot switching of map versions, the neighborhood scanning thread reads the original text anchor point vectors. and the target vector for correction At the same time, the current graph version identifier is captured and written into the current closed-loop context. If the atomic overwrite thread discovers that the graph version identifier has changed before committing the correction later, the current closed-loop context will not be written directly, but a new set of adjacent valid anchor points under the new version will be captured and then committed. This processing point further ensures that step five uses the double-buffered semantics of step three.

[0123] The neighborhood scanning thread takes the original hit anchor record as the center, and prioritizes scanning the anchor records adjacent to its parent rule identifier in the current version of the graph, and removes the anchor records that belong to the same rule category as the original hit anchor record; retains the obtained legal out-of-category anchor records as the constraint source in the local neighborhood of the current version.

[0124] When the original clause anchor vector and the target vector for correction After confirmation, the force field solution thread first constructs the positive traction vector. Positive traction vector It only indicates where to move, without specifying how far to move, so its calculation remains straightforward. The relationship is written as: Where: positive traction vector : Refers to the original clause anchor vector Pointing to the target vector for correction The displacement vector takes values ​​that are related to the anchor point vector of the clause. A real vector of the same dimension is used to indicate the main direction of the correction movement; the correction target vector. : Refers to the coordinates of the target clause anchor point obtained by mapping from the correction label field, and the value is taken as the coordinates of the clause anchor point vector. Real vectors of the same dimension; anchor vector of clauses : Refers to the coordinates of the original clause anchor point that needs to be corrected, and the value is a real number vector consistent with step three; Using the positive traction vector alone While it can quickly indicate the direction of correction, it does not contain safety information about the surrounding legal boundaries. Therefore, the force field solution thread obtains the positive traction vector... Afterwards, instead of immediately submitting the correction, the original clause anchor vector is used. Perform a neighborhood scan around the center of the sphere. The neighborhood scan preferably uses a radius index table or a kd-tree index structure, and the scan radius is preferably set to the current anchor point vector of the text. The distance to the nearest legal outlier anchor point should be 1.2 to 1.8 times, with 1.5 times being preferable.

[0125] The reason for using this window size is that if the radius is too small, the repulsion field can only sense the nearest legal anchor point; if the radius is too large, the local boundary direction will be diluted after the distant anchor points enter the solver. Therefore, the neighborhood scan thread only retains locally legal outlier anchor points, forming a set of neighboring legal anchor points. .

[0126] Furthermore, the positive traction vector The direction of movement has been determined, and the set of nearest valid anchor points has been established. This establishes a local boundary environment for the subsequent repulsion field.

[0127] Obtaining the set of adjacent legal anchor points Then, the force field solution thread begins calculating the repulsion vector. Repulsion vector The physical meaning is: all surrounding legal heterogeneous anchor points to the original text anchor point vector. Simultaneously, a reverse push is applied, with the push intensity decreasing as the square of the spatial distance increases. The purpose of this setup is to ensure that very close legitimate anchor points generate a strong push, preventing the newly modified anchor point vector from being affected. The adjacent legal boundaries are breached; legal anchor points that are farther apart only maintain weak repulsion to preserve the necessary local adjustment degrees of freedom. The relationship is written as: Where: repulsion vector : refers to the set of nearest legal anchor points For the original clause anchor vector The applied composite repulsion vector takes values ​​that are related to the clause anchor vector. Real vectors of the same dimension are used to limit the correction movement from encroaching on adjacent legal domains; a set of nearest legal anchor points. : refers to the anchor vector around the original clause The set of valid out-of-class anchor indexes obtained by scanning has a finite set of anchor indexes. Repulsion coefficient : refers to the repulsion vector The basic strength coefficient is greater than 1. The real number is used to adjust the surrounding legal anchor points relative to the original clause anchor point vector. Overall pushing force; neighboring anchor vector : refers to the set of nearest legal anchor points The Middle The coordinate vectors of the three legal out-of-class anchor points take values ​​that are related to the anchor point vectors in the text. A real vector of the same dimension, used to provide the location of the repulsion source; a clause anchor vector. : Same meaning as before, used to provide the center position that has been pushed away; smoothing constant : refers to the smallest positive real number whose denominator is zero, preferably taking This is used to avoid division by zero exceptions during underlying execution; Subsequently, the force field solving thread applied the positive traction vector With repulsion vector Merge into a restricted slip vector and utilize local safety radius Trim the sliding length. Local safety radius. This is derived from a fixed proportion of the distance to the nearest legal outlier anchor point. Its purpose is to set an absolute length upper limit for this round of correction, preventing excessive slip length even if the repulsion field yields the correct direction. The relationship is written as: Constrained slip vector : refers to the positive traction vector With repulsion vector The final slip direction and length carrier obtained by fusion are taken as values ​​relative to the anchor point vector of the clause. A real vector of the same dimension is used to determine the anchor vector of the current round of clauses. Correction direction; traction coefficient : refers to the positive traction vector In the constrained slip vector The amplification factor, which takes a real number greater than 0, is used to control the correction and approach force; the positive traction vector... The meaning is the same as before; it is used to provide a vector for approaching and correcting the target position. Main direction; repulsion vector The meaning is the same as before; it is used to provide a reverse constraint that is far from the adjacent legal boundary. Revised Clause Anchor Vector : refers to the restricted slip vector The revised anchor point coordinates are taken from the anchor point vector of the clause. Real vectors of the same dimension; local safety radius : Refers to the current original clause anchor vector The maximum length that can be moved in a closed loop is greater than [value missing]. The real number is preferably 0.2 to 0.4 times the distance to the nearest legal outlier anchor point, and more preferably 0.3 times; the length of the constrained slip vector. : refers to the restricted slip vector The length of the L2 norm, taking the value of a real number greater than or equal to 0; smoothing constant. : Refers to the smallest positive real number that prevents the denominator from being zero; it is a real number with a value greater than 0. In a compliance implementation of a call, the original clause anchor vector The focus should be tightened towards the direction of missing expense disclosures, but the right side is immediately adjacent to the anchor point indicating the completion of a legitimate disclosure. There is no exclusion vector. At that time, the positive traction vector This will pull the anchor point directly towards the target boundary and will shrink the previously valid seatbelt. Add a repulsion vector. and local safety radius Then, the revised anchor vector of the clauses. It will still move towards the target vector for correction. The movement direction is such that the movement trajectory is close to the set of legal anchor points. The neighboring points are pushed off and the local safety radius is used to determine the location. By shortening the length, step five will achieve the goal of limited correction rather than out-of-bounds drift.

[0128] The local safety radius is the distance between the current anchor point to be corrected and the nearest anchor point in the set of legal outlier anchor points. The atomic overwrite thread writes the corrected anchor point coordinates into the write buffer only when the version identifier corresponding to the current graph read pointer matches the version identifier in the current version closed-loop correction context, and clears the pre-pressure integral state of the corresponding session after the atomic switch.

[0129] When the revised anchor vector of the clause After the calculation is complete, the atomic overwrite thread does not directly overwrite the current graph page block. Instead, it first compares the graph version identifier and read pointer snapshot in the current closed-loop context. If the version has not changed, it replaces and writes to the new site through atomic comparison. If the version has changed, the atomic overwrite thread re-fetches the set of adjacent valid anchor points. Submitting again later avoids old neighborhoods taking effect directly on the new graph. After the atomic overwrite is completed, the integral zeroing thread synchronously writes the control frame back to the session cache from step four, setting the pre-pressed integral amount for the corresponding session. Set to zero and set the red line threshold to block. Reset to the base threshold snapshot for this session. The purpose of this setting is to retain the old pre-pressure integral once the spectral boundaries have been corrected. It will carry over the previous boundary pressure error into the new boundary after correction.

[0130] As a supplement: Before executing the anchor point coordinate writing, the atomic overwrite thread first compares the version identifier corresponding to the current graph read pointer with the version identifier in the current closed-loop correction context; it only performs the writeback when the two are consistent, and terminates the current writeback and re-establishes the local neighborhood of the current version when the two are inconsistent.

[0131] In the enhanced implementation, if deployed as a multi-edge node architecture across metropolitan areas, each edge node does not directly overwrite locally, but instead uses the restricted slip vector. Corrected anchor vector of clauses The version identifier and its package are uploaded to the federated consensus thread. The federated consensus thread first performs tail trimming of the isolated forest to remove abnormal slip proposals that deviate significantly from the group trend. Then, it performs Bayesian smoothing on the remaining proposals to obtain the consensus correction points, which are then uniformly distributed to each node for atomic overwriting. If the system adopts the bit string dimensionality reduction path in step three, then step five follows the hardware replacement route: the evolutionary central server reads the bit string deviation bits in the misjudgment residual, reverse-engineers the correction mask word, and burns the correction mask word into the XOR decision register, instead of solving the high-dimensional floating-point repulsion field. If the operating environment experiences high concurrency overload, the force field solution thread suspends multi-body repulsion summation and only freezes the original text anchor vector. Then, a new baseline threshold snapshot is sent back to step four to extend the lead time for the next round of early warning detection in order to maintain the system's viability.

[0132] Furthermore, the main route, federated expansion route, hardware replacement route, and overload protection route all adopt the same terminology and closed-loop logic, preserving the core while expanding implementability. After a successful write, the atomic overwrite thread will store the dump identifier and the original text anchor index. , Modify the anchor vector of the previous clause Version snapshot, version snapshot of the corrected clause anchor vector, and pre-pressure integral. The zeroing result is written to the closed-loop result cache, which is not used for the next round of judgment. It is only used for subsequent readings to see if the current spectrum has been hot-replaced.

[0133] Thus, step five forms the suspended residual array. The closed-loop circuit to the new location in the map corresponds to an actual map coordinate change for each closed loop. In this way, the system can complete boundary self-healing without removing the frozen sensing base, and the subsequent steps three and four also automatically work from the new map coordinates.

[0134] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0135] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0136] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0137] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0138] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A smart compliance management system based on session content, executed by a data processing server, characterized in that: include: Collect the conversation interaction stream, separate it into slices according to customer side and sales side roles, and generate feature sequences with conversation identifier, role identifier and timestamp when the parameter update path of the perception mapping base is closed; Based on role identifiers and timestamps, out-of-order pre-insertion and asymmetric time-series dwell are performed on the feature sequence, and when a customer-side confirmation node appears, its preceding sales-side node is locked in reverse order to obtain the backbone topology pool. Based on the current version of the structured compliance knowledge graph, which is independent of the perception mapping base, boundary ranging is performed on the backbone topology pool and anchor point coordinate parameter set, and the ranging results are merged to generate a boundary scalar matrix. Based on the boundary scalar matrix, block or threshold up is applied to the current session, and the gray area topology segments that have not triggered block, the corresponding threshold snapshot, the number of oscillations, and the correction association flag are asynchronously written to the suspended residual queue.

2. The intelligent compliance management system based on session content according to claim 1, characterized in that: The parameter update path is closed when the data processing server loads the perceptual mapping base into the inference memory before generating the feature sequence, sets its parameters to a non-updateable state, and prohibits the parameter write-back triggered by the business classification result during the current session processing, retaining only the forward feature mapping path and the feature payload output path.

3. The intelligent compliance management system based on session content according to claim 2, characterized in that: The feature sequence consists of feature records arranged in chronological order. Each feature record includes a session identifier, a role identifier, a timestamp, and a feature payload. When a decoding failure occurs in the session interaction stream, the data processing server writes a zero feature payload with a default tag at the corresponding timestamp position.

4. The intelligent compliance management system based on session content according to claim 3, characterized in that: The data processing server establishes a client-side linked list and a sales-side linked list in the same session slot, and performs pre-insertion padding on out-of-order feature records according to timestamps. When a client-side confirmation node appears, it performs a reverse retrieval on the sales-side feature records that precede it, and writes the retrieved sales-side feature records into the causal hard lock flag.

5. The intelligent compliance management system based on session content according to claim 4, characterized in that: When the current topology segment is determined to meet the blocking condition based on the boundary scalar matrix, the data processing server generates a control frame corresponding to the current session. The control frame includes at least the session identifier, topology segment index, action code, threshold snapshot, timestamp, and execution channel number, and sends the control frame to the execution interface.

6. The intelligent compliance management system based on session content according to claim 5, characterized in that: When the execution interface corresponds to the front-end rendering interface, the data processing server generates a masking instruction based on the control frame. The masking instruction includes an input lock mark, a pop-up content identifier, and a release condition identifier, and is pushed to the front-end rendering interface via a long connection so that the front-end rendering interface locks the input area based on the input lock mark and retrieves the corresponding pop-up template. When the current session does not meet the blocking conditions and falls into the gray zone, the data processing server encapsulates the gray zone topology segment, dump identifier, threshold snapshot, oscillation count, anchor hit index, and correction association identifier into a queue element and asynchronously writes it to the message topic to which the suspended residual queue belongs.

7. The intelligent compliance management system based on session content according to claim 1, characterized in that: The current version of the structured compliance knowledge graph consists of a read buffer and a write buffer. After completing the version continuity check and the anchor coordinate dimension consistency check, the data processing server performs an atomic switch on the version pointer of the current version of the structured compliance knowledge graph, and uses the switched read buffer as the entry point for subsequent boundary ranging. Each anchor record in the current version of the structured compliance knowledge graph includes an anchor identifier, a parent rule identifier, a version identifier, anchor coordinates, a boundary radius parameter, and a status flag; the data processing server only performs boundary ranging on the anchor records corresponding to the current version pointer.

8. The intelligent compliance management system based on session content according to claim 4, characterized in that: In asymmetric time-series dwell, the dwell release constant corresponding to the customer-side feature record is greater than the dwell release constant corresponding to the sales-side feature record; The data processing server retains the two most recent interactions as a minimum retention window for each current session and performs asymmetric time-series dwell outside the minimum retention window.

9. The intelligent compliance management system based on session content according to claim 7, characterized in that: When the correction tag corresponding to the dump identifier arrives, the data processing server pairs the gray area topology segment with the correction tag, reads the current version identifier and anchor hit index associated with the dump identifier, and establishes the current version closed-loop correction context.

10. The intelligent compliance management system based on session content according to claim 9, characterized in that: The data processing server locates the original hit anchor record based on the anchor hit index and the target anchor record based on the correction association identifier; it also scans the set of legal outlier anchor records around the original hit anchor record to construct the local neighborhood of the current version. The data processing server combines the displacement direction of the original hit anchor record pointing to the target anchor record with the restricted displacement corresponding to the set of legal heterogeneous anchor records to obtain the corrected anchor coordinates; writes the corrected anchor coordinates to the write buffer and performs an atomic switch, while clearing the integral state associated with the corresponding session.

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