A host computer digital debugging optimization processing method and system

Abstract

This invention discloses a host computer digital debugging and optimization method and system, relating to the fields of industrial automation and real-time control technology. Based on real-time network delay variance and equipment inertia coefficient, this invention generates compensation quantities to solve the instruction timing drift caused by fluctuations in switch networking. Especially in high-disturbance environments, through adaptive adjustment of sliding window shrinkage and amplification coefficient, the motion connection error of precision equipment such as welding robots is compressed to within milliseconds, avoiding the mechanical collision risk caused by the failure of preset parameters in the field, as in traditional solutions. Furthermore, by using an equipment type library to map the PLC physical model to motion response parameters such as inertia and damping coefficient, timing calibration of different systems of equipment is achieved on a unified platform. No hardware modification or additional dedicated clock chips are required, reducing the debugging cost of cross-vendor equipment integration.

Description

Technical Field

[0001] This invention relates to the field of industrial automation and real-time control technology, and in particular to a host computer digital debugging and optimization processing method and system. Background Technology

[0002] In automated production lines such as automobile manufacturing and electronic assembly, the host computer system needs to coordinate dozens of PLC devices to complete precise motion control. Such scenarios have extremely high requirements for the timing synchronization between devices. For example, the trajectory connection of welding robots or the start and stop of material conveyors must ensure that the action interval error is less than milliseconds. As the scale of the production line expands, the communication links between devices grow, and network transmission latency fluctuations become an inherent challenge. Especially in cross-regional device collaboration scenarios, such as distributed factories, when the host computer issues instructions to PLCs in different physical locations, the actual execution time of the instructions will have unpredictable deviations due to factors such as switch queue scheduling and signal attenuation.

[0003] In recent years, mainstream solutions have adopted timestamp marking and hardware clock synchronization technology; the host computer adds nanosecond-level timestamps to control commands through the IEEE 1588 precision clock protocol, and the PLC calibrates the execution time according to the local clock after receiving the command; some systems introduce software-defined networking (SDN) to dynamically optimize the data flow path through a centralized controller and reduce transmission jitter; in a virtual debugging environment, the digital twin platform can simulate network latency scenarios, generate fixed compensation parameters and write them into the PLC firmware.

[0004] In practical applications, the hardware clock synchronization of the above solutions relies on dedicated chips, which is difficult to deploy uniformly in heterogeneous PLC mixed scenarios, such as the coexistence of PLC devices with different technology systems, for example, using different clock architectures or communication protocols. Secondly, fixed compensation parameters cannot adapt to the real-time changes in the network status of the production line. When sudden traffic causes fluctuations in the switch network, the preset compensation values ​​exacerbate timing misalignments. There are deviations between the network simulation in the virtual debugging phase and the actual physical layer behavior, causing the compensation model to fail on-site. These problems result in the continued existence of production risks such as robotic arm collisions and material accumulation. Therefore, a host computer digital debugging and optimization solution is urgently needed to solve these problems. Summary of the Invention

[0005] In view of the aforementioned existing problems, the present invention is proposed.

[0006] This invention provides a method and system for optimizing and processing digital debugging on a host computer to solve the problem of timing misalignment caused by network latency fluctuations and clock differences between heterogeneous devices in multi-PLC group control, and the difficulty of adapting fixed compensation schemes to dynamic environments.

[0007] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0008] In a first aspect, embodiments of the present invention provide a host computer digital debugging and optimization processing method, which includes step S1, whereby the host computer sends control instructions to multiple PLC devices and adds a high-precision timestamp to each instruction;

[0009] Step S2: Receive the actual execution time from each PLC and calculate the dynamic compensation amount based on historical transmission delay data;

[0010] Step S3: Adjust the sending timing of subsequent instructions according to the dynamic compensation amount;

[0011] The adjustment of the timing of subsequent instruction transmission includes:

[0012] a) Shift the original instruction sequence along the time axis;

[0013] b) Reassemble the instructions that have been shifted out of the execution window into frames;

[0014] c) Add a checksum to ensure the integrity of the instruction.

[0015] As a preferred embodiment of the upper computer digital debugging and optimization processing method described in this invention, step S2 specifically includes:

[0016] The delay variance of the most recent N command transmissions is calculated using a sliding window.

[0017] The dynamic compensation amount is generated by combining the equipment inertia coefficient of the target PLC;

[0018] In step S2, during the process of generating dynamic compensation by coupling the delay variance with the device inertia coefficient: when obtaining the most recent... After each round-trip delay, the delay variance is calculated using a sliding window statistical method, and the compensation amount is then derived from this. Specifically, this includes:

[0019] Calculate the delay variance in length . Within the window, the variance is

[0020] ,

[0021] in, The number of samples within the window. For sample index, Indicates the first Round-trip delay, in milliseconds (ms). The average window delay is expressed in milliseconds (ms). This represents the delay variance, in units of... ;

[0022] Extract the fluctuation range, and use the square root of the variance to give the standard deviation:

[0023] ,

[0024] in, The standard deviation of the delay is in milliseconds (ms).

[0025] Incorporating weights based on the target PLC inertia coefficient :

[0026] ,

[0027] in, The inertial weight is dimensionless. The target PLC inertia coefficient, in units of , The reference inertia coefficient, in units of ;

[0028] The coefficients are dynamically amplified based on the network fluctuation amplitude, and the adjustment formula is as follows:

[0029] ,

[0030] in, This is the magnification factor, which is dimensionless. To maximize the amplification, the preset system parameters are used. It is a natural constant. This is the fluctuation threshold, measured in milliseconds (ms).

[0031] The final compensation amount expression is:

[0032] ,

[0033] in, This is a dynamic compensation value, measured in milliseconds (ms). For inertial weights, This is the magnification factor. This represents the standard deviation of the delay.

[0034] As a preferred embodiment of the upper computer digital debugging and optimization processing method of the present invention, the inertia coefficient of the equipment is obtained by matching through a preset equipment type library, and the equipment type library stores motion response parameters of different PLC models;

[0035] The construction of the device type library includes:

[0036] Map the PLC model to motion response parameters as key-value pairs;

[0037] The response parameters include the acceleration threshold and the range of the mechanical damping coefficient;

[0038] Parameter entries are matched in real time using the device ID.

[0039] As a preferred embodiment of the upper computer digital debugging and optimization processing method described in this invention, step S3 includes:

[0040] The transmission environment level is determined in real time based on the network status classifier;

[0041] Select the compensation strategy corresponding to the transmission environment level and perform timing adjustment;

[0042] The determination of the transmission environment level includes:

[0043] When the packet loss rate exceeds a preset threshold, it is defined as a high disturbance level.

[0044] When the delay variance exceeds three times the historical mean, it is defined as a medium disturbance level.

[0045] For high disturbance levels, an aggressive compensation strategy is employed: the sliding window is shortened to the first threshold.

[0046] For medium-level disturbances, a conservative compensation strategy is employed: maintain the sliding window.

[0047] As a preferred embodiment of the upper computer digital debugging and optimization processing method of the present invention, in step S3 the network state classifier calculates the fluctuation variance of packet loss rate, jitter and delay through a sliding window;

[0048] In step S3, the environment level determination strategy of the network state classifier is to extract three indicators—packet loss rate, jitter, and standard deviation of latency—from the communication buffer at fixed intervals, and complete the environment classification according to the following process:

[0049] Normalize the indicators:

[0050] , , ,

[0051] in, To normalize the packet loss rate, The current packet loss rate is expressed as a percentage. The maximum acceptable packet loss rate is capped at %. For normalized jitter, This represents the average current window jitter, in milliseconds (ms). This is the jitter threshold, measured in milliseconds (ms). To normalize the standard deviation of the delay, The standard deviation of the delay is expressed in milliseconds (ms). This is the delay fluctuation threshold, in milliseconds (ms).

[0052] Generate adaptive weights:

[0053] , , ,

[0054] in, These are the weights for packet loss rate, jitter, and latency variance, respectively, and are dimensionless. For the past The variance of the packet loss rate over each sampling period, expressed as %². The variance is the jitter, expressed in milliseconds (ms²). The standard deviation and variance of the delay are expressed in milliseconds (ms²). This is the length of the weighted statistics window;

[0055] Calculate the environment score: ,

[0056] in, The overall environmental score is dimensionless.

[0057] Perform level mapping:

[0058] ,

[0059] in, To determine the output environment level, The threshold for disturbance is set. This is the high perturbation threshold.

[0060] As a preferred embodiment of the upper computer digital debugging and optimization processing method described in this invention, in step S3, a compensation strategy is selected according to the transmission environment level to dynamically compensate the amount. With network environment level Coupling involves simultaneously adjusting the statistical window length and magnification factor after the classifier obtains its ranking, following these steps to achieve differential compensation:

[0061] Calculate the grade coefficient:

[0062] ,

[0063] in, The rank coefficient is dimensionless. This is the window shrinkage ratio coefficient. The environmental level is represented by a value of 1, which indicates low disturbance, 2, which indicates medium disturbance, and 3, which indicates high disturbance.

[0064] Update the sliding window length: ,

[0065] in, The current period's delayed statistical window length, in units of [number of rows]. Round up to the nearest integer. The base window length is represented by a single bar.

[0066] Large-scale dynamic adjustment:

[0067] ,

[0068] in, To increase the level by a large amount, Based on the benchmark, To increase the coefficient by a large amount;

[0069] Calculate the adaptive coefficients:

[0070] ,

[0071] in, The level adaptive coefficient is dimensionless. It is a natural constant. The standard deviation of the delay is expressed in milliseconds (ms). This is the delay fluctuation threshold, in milliseconds (ms).

[0072] Level compensation output:

[0073] ,

[0074] in, This is the final dynamic compensation amount after environmental level correction, in milliseconds (ms). The inertial weight is dimensionless.

[0075] Secondly, the present invention provides a host computer digital debugging and optimization processing system, comprising,

[0076] The instruction distribution module is used to send timestamped control instructions to the PLC device;

[0077] The dynamic analysis module is used to calculate the instruction transmission delay variance and dynamic compensation amount;

[0078] The timing scheduling module is used to adjust the timing of instruction transmission.

[0079] As a preferred embodiment of the upper computer digital debugging and optimization processing system described in this invention, the dynamic analysis module includes:

[0080] The variance calculation unit is based on the sliding window to statistically analyze transmission delay fluctuations.

[0081] The compensation generation unit calls the inertia coefficient from the device type library to calculate the compensation amount.

[0082] As a preferred embodiment of the host computer digital debugging and optimization processing system described in this invention, the timing scheduling module includes:

[0083] Environmental classification unit, real-time identification of network transmission status level;

[0084] The strategy execution unit selects preset compensation strategies according to different levels.

[0085] As a preferred embodiment of the upper computer digital debugging and optimization processing system described in this invention, the equipment type library is associated with the PLC physical model and motion response parameters, wherein the motion response parameters include acceleration and mechanical damping coefficient.

[0086] The beneficial effects of this invention are as follows: This invention generates compensation quantities based on real-time network delay variance and device inertia coefficient, solving the instruction timing drift caused by fluctuations in switch networking; especially in high-disturbance environments, by adaptively adjusting the sliding window shrinkage and amplification coefficient, the motion connection error of precision equipment such as welding robots is compressed to within milliseconds, avoiding the risk of mechanical collisions caused by the failure of preset parameters in the field in traditional solutions; in addition, by using the device type library to map the PLC physical model to motion response parameters (such as inertia and damping coefficient), PLC devices of different systems can achieve timing calibration under a unified platform; no hardware modification or additional dedicated clock chips are required, reducing the debugging cost of cross-vendor device integration.

[0087] This invention dynamically classifies environmental levels based on indicators such as packet loss rate and jitter, and matches differentiated strategies for different disturbance intensities: when there is high disturbance, the statistical window is shortened and the compensation margin is increased to quickly suppress the impact of sudden traffic; when there is low disturbance, lightweight calculation is maintained to reduce unnecessary instruction frame splitting operations; this design significantly reduces the computing load of the host computer and ensures the stability of long-term operation; through time axis translation and frame reassembly mechanism, it ensures that the timing-adjusted instructions are delivered completely within the PLC execution window; adding check codes prevents data misalignment during transmission and avoids production line chain failures caused by the loss of a single instruction. Attached Figure Description

[0088] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the 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.

[0089] Figure 1 This is a flowchart illustrating a host computer digital debugging and optimization method in Example 1.

[0090] Figure 2 This is a schematic diagram of the framework of a host computer digital debugging and optimization processing system in Example 1. Detailed Implementation

[0091] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0092] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0093] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0094] Example 1, referring to Figure 1 and Figure 2 This embodiment provides a host computer digital debugging and optimization processing method, including the following steps:

[0095] Step S1: The host computer sends control commands to multiple PLC devices and adds a high-precision timestamp to each command;

[0096] Step S2: Receive the actual execution time from each PLC and calculate the dynamic compensation amount based on historical transmission delay data;

[0097] Step S2 specifically includes:

[0098] The delay variance of the most recent N command transmissions is calculated using a sliding window.

[0099] The dynamic compensation amount is generated by combining the equipment inertia coefficient of the target PLC;

[0100] In step S2, during the process of generating dynamic compensation quantities by coupling delay variance with device inertia coefficient: in order to synchronously correct network jitter and device dynamic characteristics, after obtaining the most recent... After each round-trip delay, the delay variance is calculated using a sliding window statistical method, and the compensation amount is then derived from this. Specifically, this includes:

[0101] Calculate the delay variance in length . Within the window, the variance is

[0102] ,

[0103] in, The number of samples within the window. For sample index, Indicates the first Round-trip delay, in milliseconds (ms). The average window delay is expressed in milliseconds (ms). This represents the delay variance, in units of... ;

[0104] Extract the fluctuation range, and use the square root of the variance to give the standard deviation:

[0105] ,

[0106] in, The standard deviation of the delay is in milliseconds (ms).

[0107] Incorporating weights based on the target PLC inertia coefficient :

[0108] ,

[0109] in, The inertial weight is dimensionless. The target PLC inertia coefficient, in units of , The reference inertia coefficient, in units of ;

[0110] The coefficients are dynamically amplified based on the network fluctuation amplitude, and the adjustment formula is as follows:

[0111] ,

[0112] in, This is the magnification factor, which is dimensionless. To maximize the amplification, It is a natural constant. This is the fluctuation threshold, measured in milliseconds (ms).

[0113] The final compensation amount expression is:

[0114] ,

[0115] in, This is a dynamic compensation value, measured in milliseconds (ms). For inertial weights, This is the magnification factor. The standard deviation of the delay;

[0116] Specifically, this step captures recent latency fluctuations through a sliding window, quantifies jitter intensity using standard deviation, and then utilizes inertial weights. Incorporating physical response characteristics into timing correction ensures that compensation matches equipment load capacity; exponential amplification factor. The value increases rapidly with increasing volatility; it remains approximately linear in the weak jitter region and provides additional margin in the strong jitter region, balancing stability and agility; the final compensation amount... Simultaneously, it couples network state with device inertia to achieve greater timing reservation in high inertia and high jitter scenarios, while avoiding excessive pre-instruction in low inertia and low jitter scenarios, thereby improving the degree of execution window matching and overall operational stability.

[0117] The equipment inertia coefficient is obtained by matching a pre-set equipment type library, which stores motion response parameters for different PLC models. The construction of the equipment type library includes:

[0118] Map the PLC model to motion response parameters as key-value pairs;

[0119] The response parameters include the acceleration threshold and the range of the mechanical damping coefficient;

[0120] Parameter entries are matched in real time using the device ID;

[0121] Step S3: Adjust the sending timing of subsequent instructions according to the dynamic compensation amount;

[0122] Adjusting the timing of subsequent command transmissions includes:

[0123] a) Shift the original instruction sequence along the time axis;

[0124] b) Reassemble the instructions that have been shifted out of the execution window into frames;

[0125] c) Add a checksum to ensure instruction integrity;

[0126] Step S3 includes:

[0127] The transmission environment level is determined in real time based on the network status classifier;

[0128] Select the compensation strategy corresponding to the transmission environment level and perform timing adjustments;

[0129] In step S3, the environment level determination strategy of the network state classifier is to extract three indicators—packet loss rate, jitter, and standard deviation of latency—from the communication buffer at fixed intervals, and complete the environment classification according to the following process:

[0130] Normalize the indicators:

[0131] , , ,

[0132] in, To normalize the packet loss rate, The current packet loss rate is expressed as a percentage. The maximum acceptable packet loss rate is capped at %. For normalized jitter, This represents the average current window jitter, in milliseconds (ms). This is the jitter threshold, measured in milliseconds (ms). To normalize the standard deviation of the delay, The standard deviation of the delay is expressed in milliseconds (ms). This is the delay fluctuation threshold, in milliseconds (ms).

[0133] Generate adaptive weights:

[0134] , , ,

[0135] in, These are the weights for packet loss rate, jitter, and latency variance, respectively, and are dimensionless. For the past The variance of the packet loss rate over each sampling period, expressed as %². The variance is the jitter, expressed in milliseconds (ms²). The standard deviation and variance of the delay are expressed in milliseconds (ms²). The length of the weighted statistical window (per period, unitless);

[0136] Calculate the environment score: ,

[0137] in, The overall environmental score is dimensionless.

[0138] Perform level mapping:

[0139] ,

[0140] in, To determine the output environment level, The threshold for disturbance is set. High perturbation threshold;

[0141] Specifically, this classifier considers three key metrics simultaneously: packet loss, jitter, and latency, and uses adaptive weights to reflect their relative fluctuations in the short term: if jitter contributes the most, then... Automatic scaling makes the score more sensitive to time-series drift; if packet loss increases dramatically, Dominant, prioritizing the triggering of aggressive compensation strategies; normalization ensures that indicators of different dimensions can be calculated in parallel, threshold Three levels are defined to enable the scheduling module to quickly tighten the window in high-disturbance scenarios and maintain minimal intervention in low-disturbance scenarios, thereby reducing unnecessary instruction frame splitting and reassembly operations; the overall strategy responds quickly when the network state changes abruptly, while maintaining lightweight judgment during stable periods, taking into account both robustness and efficiency.

[0142] The determination of the transmission environment level includes:

[0143] When the packet loss rate exceeds a preset threshold, it is defined as a high disturbance level.

[0144] When the delay variance exceeds three times the historical mean, it is defined as a medium disturbance level.

[0145] For high disturbance levels, an aggressive compensation strategy is employed: the sliding window is shortened to the first threshold.

[0146] For medium-level disturbances, a conservative compensation strategy is employed: maintain the sliding window.

[0147] In step S3, a compensation strategy is selected according to the transmission environment level to dynamically compensate the amount. With network environment level Coupling involves simultaneously adjusting the statistical window length and magnification factor after the classifier obtains its ranking, following these steps to achieve differential compensation:

[0148] Calculate the grade coefficient:

[0149] ,

[0150] in, The rank coefficient is dimensionless. This is the window shrinkage ratio coefficient. The environmental level is represented by a value of 1, which indicates low disturbance, 2, which indicates medium disturbance, and 3, which indicates high disturbance.

[0151] Update the sliding window length: ,

[0152] in, The current period's delayed statistical window length, in units of [number of rows]. Round up to the nearest integer. The base window length is represented by a single bar.

[0153] Large-scale dynamic adjustment:

[0154] ,

[0155] in, To increase the level by a large amount, Based on the benchmark, To increase the coefficient by a large amount;

[0156] Calculate the adaptive coefficients:

[0157] ,

[0158] in, The level adaptive coefficient is dimensionless. It is a natural constant. The standard deviation of the delay is expressed in milliseconds (ms). This is the delay fluctuation threshold, in milliseconds (ms).

[0159] Level compensation output:

[0160] ,

[0161] in, This is the final dynamic compensation amount after environmental level correction, in milliseconds (ms). The inertial weight is dimensionless.

[0162] Specifically, this strategy adjusts the statistical window size in real time based on network hierarchy: the window length is significantly shortened when disturbances are severe to suppress the trailing effect of old data on compensation, and sufficient samples are maintained when the network is stable to smooth out instantaneous anomalies when the network is stable; the amplification increases with the level, allowing time compensation to obtain a higher margin in high-disturbance environments and maintaining mild correction in low-disturbance stages to avoid increasing network load; combined with inertia weights, the dual factors of device dynamics and network state are synergistically adjusted to reduce the lag of high-inertia hardware and prevent low-inertia systems from causing command congestion due to overcompensation; the overall process adapts to different environment switching, reducing the number of manual parameter tunings and improving the timing stability and task consistency of long-term operation.

[0163] This embodiment also provides a host computer digital debugging and optimization processing system, including:

[0164] The instruction distribution module is used to send timestamped control instructions to the PLC device;

[0165] The dynamic analysis module is used to calculate the instruction transmission delay variance and dynamic compensation amount;

[0166] The timing scheduling module is used to adjust the timing of instruction transmission;

[0167] The dynamic analysis module includes:

[0168] The variance calculation unit is based on the sliding window to statistically analyze transmission delay fluctuations.

[0169] The compensation generation unit calls the inertia coefficient from the device type library to calculate the compensation amount;

[0170] The timing scheduling module includes:

[0171] Environmental classification unit, real-time identification of network transmission status level;

[0172] The strategy execution unit selects preset compensation strategies according to different levels;

[0173] The equipment type library associates the PLC physical model with motion response parameters, which include acceleration and mechanical damping coefficient.

[0174] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for digital debugging and optimization processing on a host computer, characterized in that, Includes the following steps: Step S1: The host computer sends control commands to multiple PLC devices and adds a high-precision timestamp to each command; Step S2: Receive the actual execution time from each PLC and calculate the dynamic compensation amount based on historical transmission delay data; Step S3: Adjust the sending timing of subsequent instructions according to the dynamic compensation amount; The adjustment of the timing of subsequent instruction transmission includes: a) Shift the original instruction sequence along the time axis; b) Reassemble the instructions that have been shifted out of the execution window into frames; c) Add a checksum to ensure instruction integrity; Step S2 specifically includes: The delay variance of the most recent N command transmissions is calculated using a sliding window. The dynamic compensation amount is generated by combining the equipment inertia coefficient of the target PLC; In step S2, during the process of generating dynamic compensation by coupling the delay variance with the device inertia coefficient: when obtaining the most recent... After each round-trip delay, the delay variance is calculated using a sliding window statistical method, and the compensation amount is then derived from this. Specifically, this includes: Calculate the delay variance in length . Within the window, the variance is ， in, The number of samples within the window. For sample index, Indicates the first Round-trip delay, in milliseconds (ms). The average window delay is expressed in milliseconds (ms). This represents the delay variance, in units of... ; Extract the fluctuation range, and use the square root of the variance to give the standard deviation: ， in, The standard deviation of the delay is in milliseconds (ms). Incorporating weights based on the target PLC inertia coefficient : ， in, The inertial weight is dimensionless. The target PLC inertia coefficient, in units of , The reference inertia coefficient, in units of ; The coefficients are dynamically amplified based on the network fluctuation amplitude, and the adjustment formula is as follows: ， in, This is the magnification factor, which is dimensionless. To maximize the amplification, the preset system parameters are used. It is a natural constant. This is the fluctuation threshold, measured in milliseconds (ms). The final compensation amount expression is: ， in, This is a dynamic compensation value, measured in milliseconds (ms). For inertial weights, This is the magnification factor. The standard deviation of the delay; The inertia coefficient of the equipment is obtained by matching a preset equipment type library, which stores motion response parameters for different PLC models. The construction of the device type library includes: Map the PLC model to motion response parameters as key-value pairs; The response parameters include the acceleration threshold and the range of the mechanical damping coefficient; Parameter entries are matched in real time using the device ID.

2. The upper computer digital debugging and optimization processing method as described in claim 1, characterized in that, Step S3 includes: The transmission environment level is determined in real time based on the network status classifier; Select the compensation strategy corresponding to the transmission environment level and perform timing adjustment; The determination of the transmission environment level includes: When the packet loss rate exceeds a preset threshold, it is defined as a high disturbance level. When the delay variance exceeds three times the historical mean, it is defined as a medium disturbance level. For high disturbance levels, an aggressive compensation strategy is employed: the sliding window is shortened to the first threshold. Enable a conservative compensation strategy for medium-level disturbances: maintain the sliding window size.

3. The upper computer digital debugging and optimization processing method as described in claim 2, characterized in that, The network state classifier described in step S3 calculates the variance of packet loss rate, jitter, and latency using a sliding window. In step S3, the environment level determination strategy of the network state classifier is to extract three indicators—packet loss rate, jitter, and standard deviation of latency—from the communication buffer at fixed intervals, and complete the environment classification according to the following process: Normalize the indicators: ， ， ， in, To normalize the packet loss rate, The current packet loss rate is expressed as a percentage. The maximum acceptable packet loss rate is capped at %. For normalized jitter, This represents the average current window jitter, in milliseconds (ms). This is the jitter threshold, measured in milliseconds (ms). To normalize the standard deviation of the delay, The standard deviation of the delay is expressed in milliseconds (ms). This is the delay fluctuation threshold, in milliseconds (ms). Generate adaptive weights: ， ， ， in, These are the weights for packet loss rate, jitter, and latency variance, respectively, and are dimensionless. For the past The variance of the packet loss rate over each sampling period, expressed as %². The variance is the jitter, expressed in milliseconds (ms²). The standard deviation and variance of the delay are expressed in milliseconds (ms²). This is the length of the weighted statistics window; Calculate the environment score: , in, The overall environmental score is dimensionless. Perform level mapping: ， in, To determine the output environment level, The threshold for disturbance is set. This is the high perturbation threshold.

4. The upper computer digital debugging and optimization processing method as described in claim 2, characterized in that, In step S3, a compensation strategy is selected according to the transmission environment level to dynamically compensate the amount. With network environment level Coupling involves simultaneously adjusting the statistical window length and magnification factor after the classifier obtains its ranking, following these steps to achieve differential compensation: Calculate the grade coefficient: ， in, The rank coefficient is dimensionless. This is the window shrinkage ratio coefficient. The environmental level is represented by a value of 1, which indicates low disturbance, 2, which indicates medium disturbance, and 3, which indicates high disturbance. Update the sliding window length: , in, The current period's delayed statistical window length, in units of [number of rows]. Round up to the nearest integer. The base window length is represented by a single bar. Large-scale dynamic adjustment: ， in, To increase the level by a large amount, Based on the benchmark, To increase the coefficient by a large amount; Calculate the adaptive coefficients: ， in, The level adaptive coefficient is dimensionless. It is a natural constant. The standard deviation of the delay is expressed in milliseconds (ms). This is the delay fluctuation threshold, in milliseconds (ms). Level compensation output: ， in, This is the final dynamic compensation amount after environmental level correction, in milliseconds (ms). The inertial weight is dimensionless.

5. A host computer digital debugging and optimization processing system, based on the host computer digital debugging and optimization processing method according to any one of claims 1 to 4, characterized in that, include: The instruction distribution module is used to send timestamped control instructions to the PLC device; The dynamic analysis module is used to calculate the instruction transmission delay variance and dynamic compensation amount; The timing scheduling module is used to adjust the timing of instruction transmission.

6. The host computer digital debugging and optimization processing system as described in claim 5, characterized in that, The dynamic analysis module includes: The variance calculation unit is based on the sliding window to statistically analyze transmission delay fluctuations. The compensation generation unit calls the inertia coefficient from the device type library to calculate the compensation amount.

7. The host computer digital debugging and optimization processing system as described in claim 5, characterized in that, The timing scheduling module includes: Environmental classification unit, real-time identification of network transmission status level; The strategy execution unit selects preset compensation strategies according to different levels.

8. The host computer digital debugging and optimization processing system as described in claim 6, characterized in that, The device type library is associated with the PLC physical model and motion response parameters, which include acceleration and mechanical damping coefficient.

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