Digital processing methods for agent state synchronization

Abstract

This invention relates to the field of electronic digital data processing technology, specifically a digital processing method for agent state synchronization, comprising the following steps: acquiring shared memory data and mapping it to obtain a state expiration limit; collecting version numbers to generate a version lag deviation; comparing and establishing a memory interception mask; bitwise optimizing delayed synchronization instructions to obtain truncation instructions; and overwriting and erasing old addresses to obtain the synchronization processing result. In this invention, by reading shared memory data in parallel and obtaining the state expiration limit based on amplification multiplier mapping, the state tolerance range can be dynamically defined without pausing any computing nodes. Version lag deviations are generated based on the difference between the locally written version number and the minimum read version number. A memory interception mask is established using high and low level trigger signals output by a digital comparator and logic gate circuits. Bitwise logic optimization is performed on delayed synchronization instructions on the hardware bus to obtain truncation synchronization instructions, achieving non-blocking, low-latency agent state synchronization.

Description

Technical Field

[0001] This invention relates to the field of electronic digital data processing technology, and in particular to a digital processing method for synchronizing the state of intelligent agents. Background Technology

[0002] The field of electronic digital data processing technology involves a series of operations for acquiring, storing, converting, and transmitting various types of digital information. It primarily utilizes logic gate circuits, microprocessors, or programmable logic devices to perform arithmetic and logical operations on input binary discrete-level signals according to a pre-programmed instruction sequence, thereby completing data parsing, encoding, and state interaction. Among these, the intelligent agent state synchronization digital processing method refers to the process of maintaining consistency of memory variables among multiple independently running program entities in a distributed network. This typically employs a master-slave communication architecture where the master node periodically issues a global mutex lock instruction to pause the local clock advance of all slave nodes. Then, a polling mechanism is used to read the internal state vector of each node one by one, and the stale position coordinate set and action queue sequence are updated by directly reading and writing to the shared memory area. Finally, the master node releases the mutex lock instruction to resume the local code execution flow of each slave node.

[0003] Existing synchronous digital processing technologies mainly employ a master-slave architecture and global mutex locks. The master node periodically issues mutex commands to force all slave nodes to pause their local clock advance. This process results in a large amount of computing resources being idle and waiting. The polling mechanism reads the state vectors of each node one by one, which further exacerbates the synchronization delay. When the number of agents in the distributed network increases, the master node becomes a performance bottleneck, the state update frequency is limited, and outdated position coordinates and action queues cannot be updated in a timely manner. This leads to high costs for maintaining the consistency of agent states, a decrease in the overall throughput of the system, and difficulty in adapting to the low-latency synchronization requirements of highly dynamic real-time interactive scenarios. Summary of the Invention

[0004] To address the technical problems existing in the prior art, embodiments of the present invention provide a digital processing method for agent state synchronization, comprising the following steps: To achieve the above objectives, the present invention adopts the following technical solution: a digital processing method for synchronizing the state of an intelligent agent, comprising the following steps: S1: Obtain access shared memory data, perform parallel read operations related to the total number of concurrent computing nodes, perform mapping conversion and adjustment between the total number of concurrent computing nodes and the preset amplification multiplier, and obtain the state expiration boundary; S2: Collect the local write version number and all local read version numbers held by the associated computing node for the write action. Sort all local read version numbers in ascending order and extract the first sequence number as the minimum read version number. Perform a difference sorting and filtering action on the local write version number and the minimum read version number to generate version lag deviation. S3: The version lag deviation and the state expiration limit are compared and judged by the input digital comparator logic circuit. When the version lag deviation exceeds the state expiration limit, a high-level trigger signal is sent to the underlying memory controller and the non-logic gate array circuit and the level sequence is flipped to the low-order sequence. When the version lag deviation does not exceed the state expiration limit, a low-level trigger signal is sent to the underlying memory controller and the driver logic gate circuit and the level sequence is maintained as the high-order sequence to establish a memory interception mask. S4: Monitor the agent delay synchronization instruction transmitted in the hardware data bus communication channel, perform bitwise logic optimization on the logic gate array circuit with the binary sequence of each binary bit of the agent delay synchronization instruction and the corresponding binary sequence of the memory interception mask to obtain the truncated synchronization instruction. S5: Collect the underlying memory address encoding associated with the old agent, send a storage control signal to the underlying memory controller according to the truncation synchronization instruction, and perform overwrite and erase adjustment on the area corresponding to the underlying memory address encoding to obtain the digital processing result of the agent state synchronization.

[0005] As a further aspect of the present invention, during the process of performing mapping transformation adjustment, the total number of concurrent computing nodes is input into a preset node topology association table, the transformation level nodes corresponding to the preset amplification multiplier are extracted, and the hierarchical amplification mapping transformation adjustment is performed on the total number of concurrent computing nodes based on the transformation level nodes.

[0006] As a further aspect of the present invention, during the bitwise logic optimization process, the independent bitmasks contained in the agent delay synchronization instruction and the corresponding bitmasks of the memory interception mask are extracted, the associated sequence attributes of the independent bitmasks and the corresponding bitmasks are compared, heterogeneous bitmasks are eliminated, and homogeneous bitmasks are retained to perform bitwise logic optimization.

[0007] As a further aspect of the present invention, the state expiration limit is specifically a synchronization cutoff scale value weighted based on hierarchical mapping coefficients; the version lag deviation includes deviation magnitude, deviation type, and associated version number set; the memory interception mask includes a mask bitmap, an interception enable flag, and priority encoding; the truncated synchronization instruction includes instruction word length, valid bit mask, and synchronization opcode; the agent state synchronization digital processing result includes a synchronization state snapshot, a memory address remapping table, and a version consistency check code.

[0008] As a further aspect of the present invention, the step of obtaining the state expiration limit is as follows: S111: Collects shared memory data, performs parallel reading actions based on the memory space underlying addressing instruction allocation sequence, extracts the hardware channel concurrent access load, aggregates the total traffic status requested by the processing unit, associates the real-time parallel distribution of nodes, and establishes the total number of concurrent computing nodes. S112: Import the total number of concurrent computing nodes into a preset node topology association table, compare it with the spatial topology connection level configuration table, extract the preset amplification multiplier response branch path record value, retrieve the structure mapping branch identifier, and obtain the conversion level node; S113: Based on the hierarchical expansion mapping distribution item of the conversion level node, perform hierarchical expansion mapping conversion adjustment on the total number of concurrent computing nodes, extract the span of the output endpoint position, compare the expiration limit endpoint value with the time period determination, and obtain the state expiration limit.

[0009] As a further aspect of the present invention, the step of obtaining the version lag deviation is as follows: S211: Collect and execute write actions associated with the internal register status flags of network nodes, extract the state update trigger source point synchronous write flag sequence, establish local write version number, retrieve the set of global access record status vectors held by internal nodes associated with concurrent read addressing operations, and obtain all local read version numbers. S212: Import memory data sequence arrangement frame array port according to all local read version numbers, perform arrangement and recombination transformation on the underlying list elements according to the numerical order of increasing magnitude, extract the sequence label value item inside the register unit at the first position of the array arrangement sequence, and obtain the minimum read version number. S213: For the local write version number and the minimum read version number, start the span comparison action of the numerical difference between the two ends, compare the span feature of the comparison sequence endpoint position deviation, extract the difference arrangement filtering and separation that crosses the preset reference benchmark boundary threshold, map the version iteration lag feature attribute, and generate version lag deviation.

[0010] As a further aspect of the present invention, the memory interception mask acquisition step is as follows: S311: Based on the version lag deviation and the state expiration limit, import the data pin of the digital comparator logic circuit, trigger the internal logic gate array of the circuit to perform differential comparison, extract the state identifier bits of the relative magnitude relationship of the digital input ports, and construct the threshold comparison identifier vector; S312: Based on the threshold comparison identifier vector matching positive overflow condition branch, in response to the version hysteresis deviation exceeding the state expiration limit logical distribution state, inject a high-level trigger signal into the underlying memory controller and the pin of the non-logic gate array circuit, perform voltage flipping on the preset level state register, and generate a low-level sequence. S313: Based on the threshold comparison identifier vector matching, reverse maintenance condition branch is maintained. In response to the version lag deviation not exceeding the state expiration limit logic distribution state, a low-level trigger signal is injected into the underlying memory controller and driver logic gate pins to maintain the normal voltage state output of the preset level state register, obtain the high-level sequence, aggregate the logic feature vectors of the two branch sequences to establish an isolation masking mapping, and establish a memory interception mask.

[0011] As a further aspect of the present invention, the step of obtaining the truncated synchronization instruction is as follows: S411: Monitor the internal state flow characteristics of the hardware data bus communication channel, parse the header field of the intelligent agent delay synchronization instruction transmitted in the channel, locate the bit flag segment inside the instruction encoding sequence to extract the independent bit, read the memory interception mask according to the bus addressing mapping relationship to locate the slot flag inside the storage space, and obtain the bit corresponding to the mask. S412: Start a pin sequence attribute double-end comparison action for the independent bit and the corresponding bit of the mask, determine the consistency status of the binary structure array distribution, eliminate topological heterogeneous bit according to the response status of the underlying logic gate, retain the matching isomorphic bit register sequence set item, and establish isomorphic attribute sequence set. S413: Based on the homogeneous attribute sequence set, import the hardware logic reorganization framework unit, perform bitwise logic state merging and mapping transformation on the internal node elements, filter the synchronization maintenance bit segment interval, integrate the state merging matrix features to extract the key control logic mapping field sequence, and obtain the truncated synchronization instruction.

[0012] As a further aspect of the present invention, the step of obtaining the digital processing result of the agent state synchronization is as follows: S511: Collect the old agent instance running status allocation table within the network topology architecture, perform addressing and positioning actions for the mapping network inside the node, extract the storage block registration identifier sequence, establish block association relationship with addressing pointer, and obtain the underlying memory address encoding; S512: According to the truncated synchronization instruction, the interface logic parser extracts the read / write flip-level trigger logic sequence, matches the bus hardware communication protocol encapsulation specification, injects the drive control level waveform into the underlying memory controller pin, extracts timing response features, and generates storage control signals. S513: Based on the underlying memory address encoding and the storage control signal, locate the target register array mapping area, send a reset pulse sequence to the target storage sector to perform overwrite and erase adjustment, clear the old state register data, import the update bit stream to perform rewrite configuration, and obtain the agent state synchronization digital processing result.

[0013] Compared with the prior art, the advantages and positive effects of the present invention are as follows: In this invention, the state expiration limit is obtained by parallel reading of shared memory data and amplification multiplier mapping transformation. The state tolerance range can be dynamically defined without pausing any computing nodes. Version lag deviation is generated based on the difference between the locally written version number and the minimum read version number. A memory interception mask is established by using digital comparators and logic gate circuits to output high and low level trigger signals. Bitwise logic optimization is performed on the delayed synchronization instructions on the hardware bus to obtain truncated synchronization instructions, which overwrite and erase the old memory address area. This eliminates the resource idleness and polling bottleneck caused by global mutex locks, and realizes non-blocking, low-latency intelligent agent state synchronization. Attached Figure Description

[0014] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0015] Figure 1 This is a schematic diagram of the steps of the present invention; Figure 2 This is a flowchart for obtaining the expiration boundary of the state in this invention; Figure 3 This is a flowchart of the process for obtaining the hysteresis deviation of this invention. Figure 4 This is a flowchart of the memory interception mask acquisition process of the present invention; Figure 5 This is a flowchart illustrating the process of obtaining truncated synchronization instructions in this invention. Figure 6 This is a flowchart of the process for obtaining the digital processing results of the intelligent agent state synchronization in this invention. Detailed Implementation

[0016] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0017] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0018] Please see Figure 1 This invention provides a digital processing method for synchronizing the state of an intelligent agent, comprising the following steps: S1: Obtain access shared memory data, perform parallel reading actions to associate the total number of concurrent computing nodes, input the total number of concurrent computing nodes into a preset node topology association table, extract the conversion level node corresponding to the preset amplification multiplier, perform hierarchical amplification mapping conversion adjustment on the total number of concurrent computing nodes based on the conversion level node, and obtain the state expiration boundary. S2: Collect the local write version number and all local read version numbers held by the associated computing node for the write action. Sort all local read version numbers in ascending order and extract the first sequence number as the minimum read version number. Perform a difference sorting and filtering action on the local write version number and the minimum read version number to generate version lag deviation. S3: Input the version lag deviation and the state expiration limit into the digital comparator logic circuit for difference comparison and judgment. When the version lag deviation exceeds the state expiration limit, send a high-level trigger signal to the underlying memory controller and the non-logic gate array circuit and flip the level sequence to the low-order sequence. When the version lag deviation does not exceed the state expiration limit, send a low-level trigger signal to the underlying memory controller and the driver logic gate circuit and maintain the level sequence as the high-order sequence to establish a memory interception mask. S4: Monitor the agent delay synchronization instructions transmitted in the hardware data bus communication channel, extract the independent bitmasks and memory interception mask corresponding bitmasks contained in the agent delay synchronization instructions, compare the associated sequence attributes of the independent bitmasks and the corresponding bitmasks, remove heterogeneous bitmasks and retain homogeneous bitmasks, perform bitwise logic optimization, and obtain the truncated synchronization instructions. S5: Collect the underlying memory address encoding associated with the old agent, send storage control signals to the underlying memory controller according to the truncation synchronization instruction, perform overwrite and erase adjustment on the area corresponding to the underlying memory address encoding, and obtain the digital processing result of the agent state synchronization.

[0019] The state expiration limit is specifically a synchronization cutoff scale value weighted by hierarchical mapping coefficients; the version lag deviation includes deviation value, deviation type, and associated version number set; the memory interception mask includes a mask bitmap, interception enable flag, and priority encoding; the truncated synchronization instruction includes instruction word length, valid bit mask, and synchronization opcode; the agent state synchronization digital processing result includes a synchronization state snapshot, a memory address remapping table, and a version consistency check code.

[0020] Please see Figure 2 The specific steps of S1 are as follows: S111: Collects shared memory data, performs parallel reading actions based on the memory space underlying addressing instruction allocation sequence, extracts the hardware channel concurrent access load, aggregates the total traffic status requested by the processing unit, associates the real-time parallel distribution of nodes, and establishes the total number of concurrent computing nodes. Real-time high-frequency transaction data is collected from shared memory via the memory bus interface. This massive amount of high-frequency transaction data serves as the foundational data source for subsequent big data processing, bearing a huge computational load. For the low-level addressing instruction allocation sequence starting from the first address of the physical memory space, parallel read operations are performed using multi-threading. The concurrent access load ratio in the direct memory access hardware channel is extracted, along with the total number of bytes requested by each core task of the central processing unit, and the total number of parallel computing nodes distributed in real time by the distributed scheduler. The concurrent access load ratio is multiplied by the total number of bytes to obtain the basic concurrent traffic value. This basic concurrent traffic value is then summed with the total number of parallel computing nodes to calculate the total number of concurrent computing nodes. This accurate determination of the total number of concurrent computing nodes provides the necessary capacity-aware parameters for subsequent digital processing of agent state synchronization, ensuring that congestion does not occur during multi-node state synchronization. For example, if the concurrent access load ratio of the hardware channel reads as 0.75 using a performance counter, and the total number of bytes of traffic within a bus cycle is 400 using a traffic monitoring probe, multiplying 0.75 by 400 yields a base concurrent traffic value of 300. The corresponding calculation is as follows: Next, by analyzing the node scheduling logs, the total number of currently active parallel computing nodes was determined to be 150. Adding 300 to 150, the total number of concurrent computing nodes was finally determined to be 450. The calculation process is as follows: By integrating the load ratio at the hardware level with the traffic and node scheduling quantity at the logic level, it effectively eliminates the error caused by a single indicator and can accurately reflect the actual memory load in a distributed high-concurrency stress test environment.

[0021] S112: Import the total number of concurrent computing nodes into the preset node topology association table, compare it with the spatial topology connection level configuration table, extract the preset amplification multiplier response branch path record value, retrieve the structure mapping branch identifier, and obtain the transformation level node; The previously obtained total concurrent computing nodes of 450 are obtained and input into the hierarchical spatial mapping network architecture for further big data processing and mapping evaluation. Based on the network node hierarchy classification specification, each hierarchical configuration record in the pre-existing spatial topology connection database is compared, and the preset amplification multiplier value corresponding to different hierarchical nodes is extracted. Simultaneously, the cumulative record time value of each communication response branch path is obtained. The structural mapping branch identifier within each hierarchy is retrieved, and the total number of transformation hierarchical nodes associated with the maximum response branch record value is obtained. The total concurrent computing nodes are multiplied by the preset amplification multiplier value to obtain the extended concurrency baseline value. This extended concurrency baseline value is then added to the total number of transformation hierarchical nodes to obtain the final mapping status index of the associated nodes. For example, if the preset hierarchical configuration amplification multiplier value is 1.2, multiplying the aforementioned total concurrent computing nodes of 450 by 1.2 yields an extended concurrency baseline value of 540, which corresponds to the calculated... Subsequently, by parsing the response branch path tracing logs, the total number of transformation layer nodes corresponding to the most active communication path was extracted to be 35. The extended concurrency baseline value of 540 was added to the total number of transformation layer nodes of 35, and the mapping status index of the associated nodes was calculated to be 575, corresponding to the calculated... By introducing the joint calculation of the hierarchical expansion coefficient and the number of nodes in the topology space, the physical concurrency pressure is accurately mapped to the virtual topology space. In the multi-level network architecture, the latency of network topology node mapping is significantly reduced, establishing an efficient topology foundation for big data processing of massive information.

[0022] S113: Based on the hierarchical expansion mapping distribution item of the conversion level node, perform hierarchical expansion mapping conversion adjustment on the total number of concurrent computing nodes, extract the span of the output endpoint position, compare the expiration limit endpoint value with the time period to obtain the state expiration limit; Based on the mapping status index 575 of the associated nodes obtained from the aforementioned operations, the absolute value of the position span between the start and end points of the addressing location in physical memory space is extracted for the output endpoints of each data transmission channel. The system's internally set basic time-lapse period value is obtained, and the mapping status index and the absolute value of the position span are summed to obtain a composite spatial span value. Then, the composite spatial span value is divided by the basic time-lapse period value to calculate and generate a state expiration limit value representing the effective lifespan. This expiration limit value is directly used to define the cache survival time range of the currently concurrently requested data and is also the core criterion for determining data freshness in the digital processing of agent state synchronization. For example, by reading the start memory addressing location value of the current output endpoint as 1000 and the end addressing location value as 1250 through a memory probe, the absolute value of the difference between the two is calculated to obtain the absolute value of the position span as 250. The calculation formula is as follows: Extracting the aforementioned associated node mapping state index 575, and summing 575 with 250, yields a composite spatial span of 825, which is... By consulting the base clock frequency configuration file, the base elapsed period value is found to be 15 milliseconds. Dividing the composite space span of 825 by the base elapsed period value of 15, the final state expiration threshold value is calculated to be 55 milliseconds. By combining network topology status indicators with physical memory addressing span, a cache expiration time associated with actual physical distance is established. In large-scale parallel memory processing scenarios, the generated expiration boundary endpoint can effectively reduce invalid cache usage and optimize the throughput of the global big data processing pipeline.

[0023] Please see Figure 3 The specific steps of S2 are as follows: S211: Collect and execute write actions associated with the internal register status flags of network nodes, extract the state update trigger source point synchronous write flag sequence, establish local write version number, retrieve the set of global access record status vectors held by internal nodes associated with concurrent read addressing operations, and obtain all local read version numbers. The system monitors the write request logs of each distributed computing node and extracts the latest transaction status flag sequence stored in the registers. For the trigger point initiating the data update operation, the system analyzes the protocol to extract the synchronization write flag sequence number, thus establishing the local write version number of that computing node. Simultaneously, during the concurrent read data addressing operation phase, the system traverses and queries the global access status history tracking table recorded by all nodes within the network, extracting the version sequence number characteristics of each node when initiating a read operation, and constructing a corresponding set of all local read version numbers. This deep extraction method based on the entire network access log fully demonstrates the advantages of big data processing technology in log cleaning and state restoration. The local write version number is added to the highest version value in the set of all local read version numbers to obtain the baseline synchronization sequence number for that transaction period. For example, by parsing the trigger frame of the current write transaction through the bus monitoring interface, its synchronization write flag sequence is extracted, establishing the local write version number as 35. Subsequently, the system traverses the node access status database to obtain the highest version value of all local read version numbers, which is 28. Adding the local write version number 35 to the highest read version number 28 yields the base synchronization sequence number 63 for this transaction cycle. The calculation is as follows: By integrating the write action feature sequence number with the highest read version value, subsequent data synchronization checks have a globally unified reference benchmark, further consolidating the consistency boundary of subsequent agent state synchronization digital processing.

[0024] S212: Import memory data sequence arrangement frame array port according to all local read version numbers, perform arrangement and reorganization transformation on the underlying list elements according to the increasing order of numerical magnitude, extract the sequence label value item inside the register unit at the first position of the array arrangement sequence, and obtain the minimum read version number. All the previously acquired local read version numbers are input as aggregate data to the hardware reassembly array input of the underlying memory data sequence. The memory mapping controller performs parallel merge sorting on these version numbers, reassembling them in ascending order of value. Since this sorting and reassembly process involves a large number of parallel sorting operations, a dedicated acceleration module is scheduled internally to handle this high-frequency, large-data-processing demand. The sequence tag value stored in the first register cell of the first position in the queue is extracted from the reassembled array, and this value is determined as the minimum read version number in the global concurrent transaction processing. Subsequently, the minimum read version number is added to a preset version offset constant to obtain the effective version fault tolerance lower limit.

[0025]

[0026] As shown in Table 1, the read version number at the first position of the sequence after array reassembly is extracted, and the minimum read version number is determined to be 12. By consulting the system's underlying register constant configuration file, the pre-set version offset constant is obtained as 5. Adding the minimum read version number 12 to the version offset constant 5 yields an effective version fault tolerance lower limit of 17 for this concurrent cycle. By capturing the minimum value in the recombined array and superimposing a fixed offset constant, a low-level security boundary standard for distributed read-write transactions is established. This lower limit also forms the cornerstone for preventing dirty read operations in the digital processing of agent state synchronization.

[0027] S213: Start the comparison action of the difference span between the local write version number and the minimum read version number, compare the deviation of the sequence endpoint position from the span feature, extract the difference arrangement filtering and separation that crosses the preset reference baseline boundary threshold, map the version iteration lag feature attribute, and generate version lag deviation. Obtain the previously established local write version number 35 and the previously extracted minimum read version number 12. Perform a difference operation on these two metrics to obtain the absolute value of the numerical span between the two versions. Obtain the pre-calibrated baseline boundary threshold constant in the underlying data synchronization mechanism. Divide the absolute value of the version numerical span by this baseline boundary threshold constant to calculate the version lag deviation value, which directly characterizes the data lag state between distributed nodes. This deviation value can quickly identify nodes with abnormal states in complex clusters and is a key diagnostic indicator supporting the digital processing of state synchronization for highly available intelligent agents. For non-numerical lag characteristic attribute descriptions, by referring to the lag level correspondence table in the data dictionary, slight lag is quantized as 1, severe lag is quantized as 3, and the quantization result is added to the aforementioned deviation value. For example, subtracting the minimum read version number 12 from the local write version number 35 yields an absolute value of 23 for the numerical span between the two versions, which is calculated as... By parsing the global clock configuration table, the pre-set reference boundary threshold constant is obtained as 4. Dividing the absolute value of the numerical span (23) by the reference boundary threshold constant 4 yields an initial lag ratio of 5.75, calculated as follows: The current node's abnormal lag characteristic attribute was detected as slight lag, which was quantized to 1. Then, the initial lag ratio of 5.75 was added to the quantized value of 1, resulting in a final version lag bias of 6.75, calculated as follows: By combining the version difference span with the threshold constant to calculate the proportional relationship and combining it with feature quantization, the actual degree of synchronization disconnect between nodes can be accurately reflected, while also reducing the pollution of big data processing and analysis channels by invalid data.

[0028] Please see Figure 4 The specific steps of S3 are as follows: S311: Import the data pins of the digital comparator logic circuit according to the version lag deviation and state expiration limit, trigger the internal logic gate array of the circuit to perform differential comparison, extract the state flag bits of the relative magnitude relationship of the digital input ports, and construct the threshold comparison flag vector; The aforementioned version lag deviation of 6.75 and the state expiration threshold value of 55 obtained in the previous steps are input as digital electrical signals to the positive and negative dual-ended data pins of the underlying differential logic gate comparator. The circuit internally triggers an XOR gate array to perform a comparison operation, outputting the comparison result as a digital high / low level indicator. State feature values ​​are extracted from the output level. The state expiration threshold value is subtracted from the version lag deviation to obtain a margin difference. This margin difference is then multiplied by a preset circuit correction coefficient to calculate the absolute amplitude value of the threshold comparison indicator vector. Through this series of hardware-level differential operations, the anti-crosstalk capability of the underlying circuit when performing digital processing of agent state synchronization is greatly improved. For example, extracting the aforementioned calculated state expiration threshold value of 55 and the version lag deviation of 6.75, subtracting 6.75 from 55 yields a state margin difference of 48.25, i.e. By calling the hardware factory configuration parameter table of the differential comparator, the preset circuit correction coefficient of 2 is extracted. The state margin difference of 48.25 is multiplied by the circuit correction coefficient of 2, and finally the absolute amplitude value of the comparison identifier vector is obtained as 96.5. By performing hardware-level correction and amplification on the difference between the deviation and the limit, the high and low level drive signals output by the comparator have stronger anti-interference margin, which greatly reduces the false trigger rate and ensures the purity of circuit signals when the load of big data processing across the network surges.

[0029] S312: Based on threshold comparison and identification vector matching, positive overflow condition branch is used to respond to the version lag deviation exceeding the state expiration limit logic distribution state, inject high-level trigger signals into the underlying memory controller and non-logic gate array circuit pins, perform voltage flipping on the preset level state register, and generate a low-level sequence. When the aforementioned threshold comparison flag vector triggers a positive overflow condition branch, it is confirmed that the current hysteresis state has severely exceeded the limit. A 5-volt high-level trigger signal is continuously injected into the memory controller and the pins of the non-logic gate driver circuit. A forced voltage flip operation is triggered on the preset level state register array, converting the originally stored high-level state to a logic low level, thereby outputting the corresponding low-level sequence. The total number of consecutive zero-level bits within this low-level sequence is obtained, and this total number of zero-level bits is summed with the absolute amplitude value of the aforementioned comparison flag vector to obtain the base pulse duration of the forced blocking isolation instruction.

[0030]

[0031] As shown in Table 2, the total number of zero-potential bits generated inside register group 3 after the flip is 20. Using the previously calculated absolute amplitude value of the comparison identifier vector, 96.5, and performing an addition operation between 20 and 96.5, the base pulse duration of the forced blocking isolation command is finally determined to be 116.5 microseconds, calculated as follows: By integrating the effective zero potential count value generated by level reversal with the amplitude of the identifier vector, a dynamic adaptive blocking pulse duration mechanism is constructed. This mechanism can dynamically adjust the isolation strength based on the deviation amplitude monitored in real time during big data processing and analysis, directly enhancing the blocking effectiveness of synchronous digital processing of abnormal agent states.

[0032] S313: Based on the threshold comparison identifier vector matching, reverse the conditional branch, respond to the version lag deviation not exceeding the state expiration limit logic distribution state, inject low level trigger signal into the underlying memory controller and driver logic gate pin, maintain the preset level state register normal voltage state output, obtain the high level sequence, aggregate the logic feature vectors of the two branch sequences to establish isolation masking mapping, and establish memory interception mask. In the case of matching the reverse sustain condition branch, a 0-volt low-level trigger signal is continuously applied to the memory controller and logic gate pins to maintain the original output of the level state register. The total number of consecutive one-potential bits in the high-level sequence of the output is extracted. The total number of one-potential bits in the high-level sequence is multiplied by the count of low-level zero bits calculated in the forward branch to obtain the base address value of the hash mapping space of the corresponding mask, thereby generating a complete memory interception mask structure. For example, by acquiring the normal output signal of the logic gate pin, the total number of consecutive one-potential bits in the high-level sequence is extracted to be 40. The total number of zero-potential bits generated inside the aforementioned register group three is extracted to be 20. The total number of consecutive one-potential bits 40 is multiplied by the total number of zero-potential bits 20 to calculate the base address value of the mask hash mapping space to be 800, i.e. Finally, the base address value of 800 is used as an offset and appended to the masking instruction header to generate a memory interception mask. By multiplying the continuous potential statistics in the forward blocking and reverse maintenance states, a sufficiently dispersed mask mapping position is created in the memory address space, enhancing the unpredictability of the protected area and providing a security barrier against malicious access for the underlying big data processing buffer pool. This ensures that the instruction stream is not hijacked when performing digital processing of agent state synchronization, thus improving the tightness of memory protection.

[0033] Please see Figure 5 The specific steps of S4 are as follows: S411: Monitors the internal state flow characteristics of the hardware data bus communication channel, parses the header field of the intelligent agent delay synchronization instruction transmitted in the channel, locates the bit flag segment inside the instruction encoding sequence to extract independent bit characters, reads the memory interception mask according to the bus addressing mapping relationship to locate the slot flag inside the storage space, and obtains the bit character corresponding to the mask. The system continuously monitors the signal waveform transition frequency within the physical bus communication channel to capture currently transmitted agent delay synchronization instruction data packets. It extracts the hexadecimal encoded bit field from the packet header, segments it, and locates and extracts the instruction-specific independent security bit value. Using the previously generated memory interception mask mapping hash base address, it searches for the verification marker recorded in the corresponding storage slot in the underlying memory matrix. The extracted independent security bit value is subtracted from the verification marker recorded in that storage slot, and the absolute value of the bit offset distance is calculated. This verification process fully utilizes a high-speed parallel big data processing retrieval engine to achieve verification feedback for massive amounts of instructions within microseconds, paving the way for error-free agent state synchronization digital processing. For example, by intercepting transmission packets through the underlying network protocol stack, parsing the fourteenth byte of the packet header, and extracting its independent security bit value of 150, the underlying memory slot is located based on the previously obtained mask hash mapping space base address value of 800, and the verification marker recorded in the corresponding slot is read as 138. Subtract the independent security bit value 150 from the verification bit value 138 to obtain the absolute value of the bit offset distance between the two, which is 12. Calculate as follows: By calculating the absolute difference between the bitnames carried in the protocol instructions and the bitnames in the underlying mask slots, the severity of illegal tampering or synchronization distortion can be directly exposed, effectively filtering out forged instructions.

[0034] S412: For independent bits and corresponding bits of the mask, start the pin sequence attribute double-end comparison action, determine the consistency status of the binary structure array distribution, eliminate topological heterogeneous bits according to the response status of the underlying logic gate, retain the matching isomorphic bit register sequence set items, and establish isomorphic attribute sequence set. The obtained independent security bits and mask slot verification markers are converted into a binary pulse signal array and input into a two-way XOR comparator on a hardware pin. The high and low level distribution of the binary array is compared bit by bit. When a high level is detected at the XOR gate output, the corresponding topologically heterogeneous bit is completely discarded, while the corresponding isomorphic bit entries with a low XOR gate output are retained. All matching results are then merged to form a set of isomorphic attribute sequences. The total number of successfully matched isomorphic bitmasks in this set is then extracted and divided by the absolute value of the bit offset distance obtained earlier to obtain the isomorphic overlap density coefficient. By evaluating this overlap density coefficient, the agent's state synchronization digital processing can possess self-correcting properties, and this process does not require additional high-level system big data processing computing power, reducing the computational burden on the central processing unit. For example, by counting the continuous low-level pulses output by the hardware comparator pin, the total number of successfully matched isomorphic bitmasks in the isomorphic attribute sequence set is found to be 48. Using the previously calculated absolute value of the bit offset spacing, 12, the total number of isomorphic bitmasks, 48, is divided by this absolute value of the bit offset spacing, 12. The resulting isomorphic overlap density coefficient is 4, calculated as follows: By dividing the number of isomorphic bitmasks retained by the overall offset span of the two bitmasks, the system assesses both local instruction consistency and global data drift state, thus exhibiting a more robust anomaly detection capability.

[0035] S413: Based on the homogeneous attribute sequence set, import the hardware logic reorganization framework unit, perform bitwise logic state merging and mapping transformation on the internal node elements, filter the synchronization maintenance bit segment interval, integrate the state merging matrix features to extract the key control logic mapping field sequence, and obtain the truncated synchronization instruction. The homogeneous attribute sequence set formed by the aforementioned aggregation is injected into the logic recombination gate array inside the bus controller. Bit-by-bit AND gate merging is performed on each homogeneous bit element in the array, and the result is inversely mapped. Bit segments with consecutive consistent pulses are selected as the core control segment, and the eigenvalues ​​of the state merging matrix are extracted. The eigenvalues ​​of the state merging matrix are multiplied by the aforementioned homogeneous overlap density coefficient to generate a truncation instruction trigger decision boundary value. The corresponding field sequence is truncated using the decision boundary value to form the final truncation synchronization instruction. For example, the state merging matrix output after bit-by-bit logic state merging is read by a logic analyzer, and its eigenvalue obtained from pulse principal component quantization is 65. The homogeneous overlap density coefficient 4 obtained in the previous steps is obtained, and the state merging matrix eigenvalue 65 is multiplied by this homogeneous overlap density coefficient 4 to obtain the final truncation instruction trigger decision boundary value of 260, i.e. The control unit directly writes the boundary value 260 into the interrupt controller register as a boundary condition parameter for triggering the truncation synchronization instruction. By combining the matrix physical merging characteristics with the isomorphic density ratio, an adaptive dynamic truncation judgment condition is generated, making the cutting off of abnormal instruction streams more precise and decisive. This anti-proliferation mechanism fundamentally prevents dirty instructions from further polluting the global big data processing storage lake, ensuring the clarity of the digital processing of agent state synchronization in the entire network environment.

[0036] Please see Figure 6 The specific steps of S5 are as follows: S511: Collect the old agent instance running status allocation table within the network topology architecture, perform addressing and positioning actions for the mapping network inside the node, extract the storage block registration identifier sequence, establish block association relationship with addressing pointer, and obtain the underlying memory address encoding; The system iterates through the old intelligent agent cluster state record table issued by the current network topology framework center, and initiates a location addressing request for virtual nodes through the memory management unit. It parses the static storage block sequence number allocated in the registration list and performs a partial substitution calculation using a segmented paging addressing pointer structure, directly associating it with the underlying physical memory address code. It obtains the decimal value of the first address of this physical memory address code, subtracts it from the preset base sector offset, and calculates the absolute first index of the actual target write segment. This location process directly interfaces with a large-scale underlying storage array, capable of handling concurrent addressing requests from across the network's large-scale data processing with extremely high access hit rates. For example, through an addressing pointer table lookup operation, the decimal value of the first address of the underlying physical memory is read as 4096. A query of the underlying storage controller configuration item yields the preset base sector offset as 512. Subtracting the base sector offset from the first address decimal value of 4096 gives an initial starting index of 3584, i.e. By introducing state quantization and fixed offset calculation based on address mapping, the system's reserved area can be accurately avoided and the erasure starting point can be accurately located, providing a precise overwrite target for the next step of efficiently carrying out digital processing of agent state synchronization.

[0037] S512: Based on the truncated synchronization instruction, the interface logic parser extracts the read / write toggling level trigger logic sequence, matches the bus hardware communication protocol encapsulation specification, injects the drive control level waveform into the underlying memory controller pins, extracts timing response characteristics, and generates storage control signals. The previously constructed truncation synchronization instruction is extracted and input to the hardware interface parsing unit of the memory bus. The trigger timing pulse train used to control read / write state transitions is extracted, and a drive level waveform adapted to the serial communication protocol specification is generated. This waveform signal is continuously injected into the enable pin of the memory controller chip, capturing the rising edge response time characteristics of the waveform feedback. The rising edge response time value is multiplied by the previously calculated absolute first-order index value to obtain the memory control signal transmission frequency constant.

[0038]

[0039] As shown in Table 3, the rising edge response time of the most stable control channel is 5 nanoseconds. The absolute first-order index of the actual target write segment calculated using the aforementioned steps is 3584. The transmission frequency constant of the storage control signal is extracted to be 18020 MHz equivalent. An arithmetic relationship is established between the hardware physical response characteristics and the absolute address of the physical memory, enabling the generated control signal frequency to adapt to the attenuation caused by physical electrical distance. This ensures that the control signal is delivered to the underlying chip without loss, which is the physical hardware foundation supporting the synchronous digital processing of the state of a highly available intelligent agent, effectively avoiding signal distortion caused by communication channel congestion during big data processing.

[0040] S513: Based on the underlying memory address encoding and storage control signal, locate the target register array mapping area, send a reset pulse sequence to the target storage sector to perform overwrite and erase adjustment, clear the old state register data, import the update bit stream to perform rewrite configuration, and obtain the agent state synchronization digital processing result; Based on the absolute first-order index of the underlying physical memory and the transmission frequency constant of the storage control signal established in the preceding steps, the target register sector range where the old agent is located is precisely located. A high-intensity reset and clear pulse sequence is continuously broadcast to the designated sector according to the transmission frequency constant, completely erasing all remaining old-state register bits to zero. Subsequently, the received new agent state bitstream is loaded into this sector to complete the overwrite. The total number of write clock cycles consumed during the entire overwrite process is extracted, and the transmission frequency constant is divided by the total number of write clock cycles to calculate the state synchronization refresh efficiency index, thereby outputting the final digital processing result. This complete overwrite and efficiency measurement closed loop not only marks the end of a complete agent state synchronization digital processing task but also accumulates a rich big data processing training corpus for the platform to continuously optimize future scheduling strategies. For example, the storage control signal transmission frequency constant of 18020 calculated above is extracted, and the total number of write clock cycles consumed in this new bitstream rewrite process is counted as 450 using a hardware timer. Dividing the transmit frequency constant 18020 by the total number of write clock cycles 450, the state synchronization refresh efficiency index is calculated to be 40.04. The calculation form is as follows: By establishing a ratio between the frequency transmission constant and the actual clock cycle consumption, the execution efficiency and channel smoothness of state rewriting are directly quantified, ensuring real-time seamless connection of the distributed digital processing process.

[0041] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of protection of the described technical solutions.

Claims

1. A digital processing method for synchronizing the state of an intelligent agent, characterized in that, Includes the following steps: S1: Obtain access shared memory data, perform parallel read operations related to the total number of concurrent computing nodes, perform mapping conversion and adjustment between the total number of concurrent computing nodes and the preset amplification multiplier, and obtain the state expiration boundary; S2: Collect the local write version number and all local read version numbers held by the associated computing node for the write action. Sort all local read version numbers in ascending order and extract the first sequence number as the minimum read version number. Perform a difference sorting and filtering action on the local write version number and the minimum read version number to generate version lag deviation. S3: The version lag deviation and the state expiration limit are compared and judged by the input digital comparator logic circuit. When the version lag deviation exceeds the state expiration limit, a high-level trigger signal is sent to the underlying memory controller and the non-logic gate array circuit and the level sequence is flipped to the low-order sequence. When the version lag deviation does not exceed the state expiration limit, a low-level trigger signal is sent to the underlying memory controller and the driver logic gate circuit and the level sequence is maintained as the high-order sequence to establish a memory interception mask. S4: Monitor the agent delay synchronization instruction transmitted in the hardware data bus communication channel, perform bitwise logic optimization on the logic gate array circuit with the binary sequence of each binary bit of the agent delay synchronization instruction and the corresponding binary sequence of the memory interception mask to obtain the truncated synchronization instruction. S5: Collect the underlying memory address encoding associated with the old agent, send a storage control signal to the underlying memory controller according to the truncation synchronization instruction, and perform overwrite and erase adjustment on the area corresponding to the underlying memory address encoding to obtain the digital processing result of the agent state synchronization.

2. The digital processing method for agent state synchronization according to claim 1, characterized in that: During the mapping transformation adjustment process, the total number of concurrent computing nodes is input into a preset node topology association table, the transformation level nodes corresponding to the preset amplification multiplier are extracted, and the hierarchical amplification mapping transformation adjustment is performed on the total number of concurrent computing nodes based on the transformation level nodes.

3. The digital processing method for agent state synchronization according to claim 1, characterized in that: During the bitwise logic optimization process, the independent bitmasks contained in the agent delay synchronization instruction and the corresponding bitmasks of the memory interception mask are extracted. The associated sequence attributes of the independent bitmasks and the corresponding bitmasks are compared, and heterogeneous bitmasks are removed while homogeneous bitmasks are retained to perform bitwise logic optimization.

4. The digital processing method for agent state synchronization according to claim 1, characterized in that: The state expiration limit is specifically a synchronization cutoff scale value weighted by the hierarchical mapping coefficient; the version lag deviation includes the deviation value, deviation type, and associated version number set; the memory interception mask includes a mask bitmap, an interception enable flag, and priority encoding; the truncated synchronization instruction includes the instruction word length, valid bit mask, and synchronization opcode. The digital processing results of the agent state synchronization include a synchronization state snapshot, a memory address remapping table, and a version consistency check code.

5. The digital processing method for agent state synchronization according to claim 1, characterized in that, The steps for obtaining the state expiration limit are as follows: S111: Collects shared memory data, performs parallel reading actions based on the memory space underlying addressing instruction allocation sequence, extracts the hardware channel concurrent access load, aggregates the total traffic status requested by the processing unit, associates the real-time parallel distribution of nodes, and establishes the total number of concurrent computing nodes. S112: Import the total number of concurrent computing nodes into a preset node topology association table, compare it with the spatial topology connection level configuration table, extract the preset amplification multiplier response branch path record value, retrieve the structure mapping branch identifier, and obtain the conversion level node; S113: Based on the hierarchical expansion mapping distribution item of the conversion level node, perform hierarchical expansion mapping conversion adjustment on the total number of concurrent computing nodes, extract the span of the output endpoint position, compare the expiration limit endpoint value with the time period determination, and obtain the state expiration limit.

6. The digital processing method for agent state synchronization according to claim 1, characterized in that, The steps for obtaining the version lag deviation are as follows: S211: Collect and execute write actions associated with the internal register status flags of network nodes, extract the state update trigger source point synchronous write flag sequence, establish local write version number, retrieve the set of global access record status vectors held by internal nodes associated with concurrent read addressing operations, and obtain all local read version numbers. S212: Import memory data sequence arrangement frame array port according to all local read version numbers, perform arrangement and recombination transformation on the underlying list elements according to the numerical order of increasing magnitude, extract the sequence label value item inside the register unit at the first position of the array arrangement sequence, and obtain the minimum read version number. S213: For the local write version number and the minimum read version number, start the span comparison action of the numerical difference between the two ends, compare the span feature of the comparison sequence endpoint position deviation, extract the difference arrangement filtering and separation that crosses the preset reference benchmark boundary threshold, map the version iteration lag feature attribute, and generate version lag deviation.

7. The digital processing method for agent state synchronization according to claim 1, characterized in that, The steps for obtaining the memory interception mask are as follows: S311: Based on the version lag deviation and the state expiration limit, import the data pin of the digital comparator logic circuit, trigger the internal logic gate array of the circuit to perform differential comparison, extract the state identifier bits of the relative magnitude relationship of the digital input ports, and construct the threshold comparison identifier vector; S312: Based on the threshold comparison identifier vector matching positive overflow condition branch, in response to the version hysteresis deviation exceeding the state expiration limit logical distribution state, inject a high-level trigger signal into the underlying memory controller and the pin of the non-logic gate array circuit, perform voltage flipping on the preset level state register, and generate a low-level sequence. S313: Based on the threshold comparison identifier vector matching, reverse maintenance condition branch is maintained. In response to the version lag deviation not exceeding the state expiration limit logic distribution state, a low-level trigger signal is injected into the underlying memory controller and driver logic gate pins to maintain the normal voltage state output of the preset level state register, obtain the high-level sequence, aggregate the logic feature vectors of the two branch sequences to establish an isolation masking mapping, and establish a memory interception mask.

8. The digital processing method for agent state synchronization according to claim 1, characterized in that, The steps for obtaining the truncated synchronization command are as follows: S411: Monitor the internal state flow characteristics of the hardware data bus communication channel, parse the header field of the intelligent agent delay synchronization instruction transmitted in the channel, locate the bit flag segment inside the instruction encoding sequence to extract the independent bit, read the memory interception mask according to the bus addressing mapping relationship to locate the slot flag inside the storage space, and obtain the bit corresponding to the mask. S412: Start a pin sequence attribute double-end comparison action for the independent bit and the corresponding bit of the mask, determine the consistency status of the binary structure array distribution, eliminate topological heterogeneous bit according to the response status of the underlying logic gate, retain the matching isomorphic bit register sequence set item, and establish isomorphic attribute sequence set. S413: Based on the homogeneous attribute sequence set, import the hardware logic reorganization framework unit, perform bitwise logic state merging and mapping transformation on the internal node elements, filter the synchronization maintenance bit segment interval, integrate the state merging matrix features to extract the key control logic mapping field sequence, and obtain the truncated synchronization instruction.

9. The digital processing method for agent state synchronization according to claim 1, characterized in that, The steps for obtaining the digital processing result of the agent's state synchronization are as follows: S511: Collect the old agent instance running status allocation table within the network topology architecture, perform addressing and positioning actions for the mapping network inside the node, extract the storage block registration identifier sequence, establish block association relationship with addressing pointer, and obtain the underlying memory address encoding; S512: According to the truncated synchronization instruction, the interface logic parser extracts the read / write flip-level trigger logic sequence, matches the bus hardware communication protocol encapsulation specification, injects the drive control level waveform into the underlying memory controller pin, extracts timing response features, and generates storage control signals. S513: Based on the underlying memory address encoding and the storage control signal, locate the target register array mapping area, send a reset pulse sequence to the target storage sector to perform overwrite and erase adjustment, clear the old state register data, import the update bit stream to perform rewrite configuration, and obtain the agent state synchronization digital processing result.

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