Intelligent digital printing textile fabric production line automatic control method

Abstract

The present application relates to the technical field of whole factory control system, specifically to an intelligent digital printing textile fabric production line automatic control method, comprising the following steps: collecting and establishing a whole factory ink supply pipe network association matrix, substituting each element in the whole factory ink supply pipe network association matrix into Bernoulli equation formula for operation, generating a pipe network each node pressure distribution set, comparing the numerical value in the pipe network each node pressure distribution set with the set running pressure value, and generating an ink supply pipe network pressure deviation distribution set. In the present application, it is helpful to compress the risk of ink breakage, color difference and uneven printing caused by pressure mismatch, and also helpful to alleviate the production contradictions such as storage accumulator overstock, idling waiting, front and rear speed misalignment, etc., so that the resource calling within the whole plant range is more suitable for real-time working conditions, the production rhythm is more balanced, and the energy output and material circulation are more coordinated.

Description

Technical Field

[0001] This invention relates to the field of whole-factory control system technology, and in particular to an automated control method for an intelligent digital printing textile fabric production line. Background Technology

[0002] Current technologies focus on a unified framework for perception, scheduling, and control across the entire plant. However, in actual operation, most control actions are still dispersed along equipment categories or process sections. Ink supply status, fabric storage status, and machine speed status, although within the same factory space, are often separated into independent monitoring objects. This results in control commands only being able to address local anomalies one by one, making it difficult to trace the evolution of anomalies along the pipeline network, material flow, and cycle time chain. When a pressure shift occurs at a pipeline branch point on the ink supply side, common solutions only focus on correcting the valve position or pump speed at that single point, failing to simultaneously assess the impact of ink flow changes from other digital printing machines on the overall network pressure redistribution. This easily leads to a chain reaction where a pressure shift occurs at one inlet point just as a fluctuation in one location is suppressed. Therefore, improvements are needed. Summary of the Invention

[0003] The purpose of this invention is to overcome the shortcomings of existing technologies and propose an automated control method for an intelligent digital printing textile fabric production line.

[0004] To achieve the above objectives, the present invention adopts the following technical solution: an automated control method for an intelligent digital printing textile fabric production line, comprising the following steps:

[0005] A correlation matrix of the entire factory ink supply network is collected and established. The elements of the correlation matrix are substituted into the Bernoulli equation formula for calculation to generate a pressure distribution set of each node in the network. The values ​​in the pressure distribution set of each node in the network are compared with the set operating pressure values ​​to generate a pressure deviation distribution set of the ink supply network.

[0006] Extract the corresponding deviation values ​​of each node location data item in the pressure deviation distribution set of the ink supply pipeline network, generate the corresponding central variable frequency pump output power adjustment amount and electronic proportional valve opening adjustment amount, establish the feedforward adjustment parameter set of the entire factory pipeline network by combining the corresponding central variable frequency pump output power adjustment amount and electronic proportional valve opening adjustment amount, then obtain the current cloth storage amount value and the corresponding maximum capacity calibration value in each cloth storage device of the entire line, and calculate the single machine material flow congestion probability characteristic quantity;

[0007] Based on the single-machine logistics congestion probability characteristic, calculate the entropy value of the entire material flow congestion information, compare the entropy value of the entire material flow congestion information with the preset state judgment threshold value, and obtain the global forced synchronization frequency benchmark.

[0008] The calibration and adjustment values ​​within the feedforward adjustment parameter set of the entire factory pipeline network are sent to the central variable frequency pump and the associated electronic proportional valves of each digital printing machine to replace the current opening parameter values. The combined actions of each issued action generate a centralized coordinated control response result for multiple machine resources.

[0009] Preferably, the step of obtaining the pressure deviation distribution set of the ink supply network is as follows:

[0010] The output power value of the central pump room, the resistance coefficient value of the pipeline branch point, and the ink flow rate value of each digital printing machine are collected. The central pump room is numbered sequentially according to the physical connection position from the central pump room to each pipeline branch point and the inlet of each digital printing machine. The output power value of the central pump room, the resistance coefficient value of the pipeline branch point, and the ink flow rate value of each digital printing machine are written into a unified node sequence and the position is sorted accordingly. Based on the Bernoulli energy conservation relationship and the resistance change relationship of each node, the pressure of adjacent nodes is recursively calculated node by node to form a pressure distribution set of each node in the pipeline network.

[0011] Calculate the limit range based on the pressure distribution set of each node in the pipeline network and the set operating pressure value;

[0012] Based on the aforementioned limit range, the transient pressure values ​​in the pressure distribution set of each node in the pipeline network are read item by item and the difference is calculated with the set operating pressure value. The absolute value of the pressure difference at each node is judged. If the absolute value of the pressure difference is greater than the aforementioned limit range, the corresponding node position and pressure difference value are recorded and written into the deviation record sequence while maintaining the original node sequence order. The same judgment and recording are performed on all nodes to generate the pressure deviation distribution set of the ink supply pipeline network.

[0013] Preferably, the steps for obtaining the feedforward regulation parameter set for the entire plant pipeline network are as follows:

[0014] Extract all node position data items from the pressure deviation distribution set of the ink supply network, establish a one-to-one mapping according to the central variable frequency pump control channel number and electronic proportional valve control channel number corresponding to the node position data item, read the deviation value corresponding to each node position data item, calculate the power correction range of the central variable frequency pump and the opening correction range of the electronic proportional valve according to the preset proportional coefficient, and write them into the same adjustment record sequence according to the node position data item order to form the output power adjustment amount of the central variable frequency pump and the opening adjustment amount of the electronic proportional valve;

[0015] Based on the central variable frequency pump output power adjustment amount and the electronic proportional valve opening adjustment amount, the central variable frequency pump control channel number, electronic proportional valve control channel number, central variable frequency pump output power adjustment amount value and electronic proportional valve opening adjustment amount value corresponding to each node position data item are checked one by one. The two types of adjustment contents corresponding to the same node position data item are merged and written into a unified parameter item, and the items are sorted according to the ink supply path direction to generate a set of feedforward adjustment parameters for the entire plant pipeline network.

[0016] Preferably, the step of obtaining the single-machine logistics congestion probability feature is as follows:

[0017] Based on the feedforward adjustment parameter set of the entire plant pipeline network, the current cloth storage value and the corresponding maximum capacity calibration value in each cloth storage device along the entire line are read one by one. For each cloth storage device, the values ​​are matched, the ratio is calculated and the results are registered. The current cloth storage ratio of each cloth storage device is written into the feature record unit under the corresponding machine identifier. All feature record units are sorted in the order of machine arrangement to obtain the single machine logistics congestion probability feature quantity.

[0018] Preferably, the step of obtaining the entropy value of the entire material flow congestion information is as follows:

[0019] Based on the single-machine logistics congestion probability characteristic, all the single-machine logistics congestion probability characteristic values ​​are read one by one according to the machine layout order, and the entropy value of the entire material flow congestion information is calculated.

[0020] Preferably, the step of obtaining the global forced synchronization frequency reference quantity is as follows:

[0021] Read the preset state judgment threshold value, compare the entropy value of the material flow congestion information of the entire line with the preset state judgment threshold value item by item, and write the comparison result into the state judgment record sequence. When the entropy value of the material flow congestion information of the entire line is greater than the preset state judgment threshold value, register the cycle reset trigger flag and generate the cycle reset command. When the entropy value of the material flow congestion information of the entire line is not greater than the preset state judgment threshold value, register the cycle hold flag and generate the cycle hold command, thus forming the cycle reset mechanism trigger result.

[0022] Based on the triggering result of the aforementioned cycle reset mechanism, the operating frequency values ​​of the built-in frequency converters of all pre-processing machines, digital printing machines, and finishing machines are read one by one. The operating frequency values ​​of all built-in frequency converters are written into the frequency summary sequence according to the equipment arrangement order. Based on the operating frequency values ​​of each built-in frequency converter in the frequency summary sequence, an exponential weighting operation is performed in combination with the single-machine logistics congestion probability characteristic of the corresponding machine. The resulting weighted benchmark value is written into the unified synchronization frequency recording unit to obtain the global forced synchronization frequency benchmark value.

[0023] Preferably, the steps for obtaining the response result of the centralized coordination control of multi-machine resources are as follows:

[0024] Based on the feedforward adjustment parameter set of the entire factory pipeline network, the output power adjustment of the central variable frequency pump, the opening adjustment of the electronic proportional valve, the control address of the central variable frequency pump, and the control address of the electronic proportional valve in each parameter item are analyzed one by one. The sending order is established according to the control address. The output power adjustment of the central variable frequency pump is written into the parameter register of the central variable frequency pump, and the opening adjustment of the electronic proportional valve is written into the parameter register of the associated electronic proportional valve of each digital printing machine. The parameter replacement command is executed and the parameter value after replacement is read back to form the pump and valve adjustment execution result.

[0025] Based on the pump and valve adjustment execution results, the global forced synchronization frequency reference value is read, and the addresses of all pre-processor associated frequency converters, digital printing machine associated frequency converters, and finishing machine associated frequency converters are extracted. The frequency is encapsulated and written into a message according to the equipment polling order of the factory-wide distributed CNC network. The global forced synchronization frequency reference value is overwritten to the original frequency parameter area of ​​each associated frequency converter. A synchronous speed operation start command is sent and the feedback status words of each associated frequency converter are retrieved, forming the synchronization frequency overwrite execution result.

[0026] Preferably, the step of obtaining the response result of the centralized coordination control of multi-machine resources further includes:

[0027] The system retrieves the parameter replacement status of the central variable frequency pump and the parameter replacement status of the electronic proportional valve from the pump and valve adjustment execution results. It also retrieves the frequency overwrite status and same-speed operation status of each associated frequency converter from the synchronous frequency overwrite execution results. The system summarizes all status items according to the order of equipment addresses, filters out status records that have not been written, retains status records that have completed parameter replacement and same-speed operation, and generates a multi-machine resource centralized coordination control response result.

[0028] Compared with the prior art, the advantages and positive effects of the present invention are as follows:

[0029] In this invention, the location correlation is established based on the output power value of the central pump room, the resistance coefficient value of the pipeline branch point, and the ink flow rate value of each digital printing machine. The energy input, flow resistance, and terminal consumption in the ink supply path are uniformly incorporated into the same correlation matrix, and the transient pressure values ​​at each pipeline branch point and the inlet of the digital printing machine are derived accordingly. Then, the output power adjustment amount of the central variable frequency pump and the opening adjustment amount of the electronic proportional valve are deduced from the pressure deviation distribution set of the ink supply network. The ink supply side adjustment is changed from single-point correction to advance correction along the pipeline path. Local pressure fluctuations are compressed in the initial stage of diffusion, and the pulling effect of ink consumption fluctuation of a single digital printing machine on the overall ink supply stability of the plant is weakened. The system continues to convert the current fabric storage volume in each storage unit across the entire line into a single-machine logistics congestion probability characteristic. Then, it aggregates the dispersed fabric storage status across the entire line into a total material flow congestion information entropy value. Using preset state judgment thresholds, it identifies the degree of cycle imbalance. Upon reaching a trigger condition, it converges the operating frequency values ​​of the built-in frequency converters in all pre-processing machines, digital printing machines, and finishing machines across the entire line into a global forced synchronization frequency reference value. Ink supply adjustment, logistics judgment, and cycle synchronization form a closed-loop control chain that connects these three actions. This helps reduce the risks of ink interruption, color difference, and uneven printing caused by pressure mismatch. It also helps alleviate production conflicts such as fabric storage unit backlog, idling waiting, and speed misalignment between upstream and downstream processes. This makes resource allocation across the entire plant more aligned with real-time operating conditions, production cycle more balanced, and energy output and material flow more coordinated. Attached Figure Description

[0030] Figure 1 This is a schematic diagram of the steps of the present invention. Detailed Implementation

[0031] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0032] Please see Figure 1 This invention provides a technical solution: an automated control method for an intelligent digital printing textile fabric production line, comprising the following steps:

[0033] Collect and establish the correlation matrix of the ink supply network of the entire factory. Substitute each element in the correlation matrix of the ink supply network of the entire factory into the Bernoulli equation formula for calculation to generate the pressure distribution set of each node of the network. Compare the values ​​in the pressure distribution set of each node of the network with the set operating pressure value to generate the pressure deviation distribution set of the ink supply network.

[0034] Extract the corresponding deviation values ​​of each node location data item in the ink supply pipeline pressure deviation distribution set, generate the corresponding central variable frequency pump output power adjustment amount and electronic proportional valve opening adjustment amount, establish the feedforward adjustment parameter set of the entire plant pipeline network by combining the corresponding central variable frequency pump output power adjustment amount and electronic proportional valve opening adjustment amount, then obtain the current cloth storage amount value and the corresponding maximum capacity calibration value in each cloth storage device of the entire line, and calculate the single machine logistics congestion probability characteristic quantity;

[0035] Based on the probability characteristics of logistics congestion on a single machine, the entropy value of material flow congestion information for the entire line is calculated. The entropy value of material flow congestion information for the entire line is compared with the preset state judgment threshold value to obtain the global forced synchronization frequency benchmark.

[0036] The calibration and adjustment values ​​within the feedforward adjustment parameter set of the entire factory pipeline network are sent to the central variable frequency pump and the associated electronic proportional valves of each digital printing machine to replace the current opening parameter values. The combined actions of each issued action generate a centralized coordinated control response result for multiple machine resources.

[0037] The steps for obtaining the pressure deviation distribution set of the ink supply network are as follows:

[0038] The output power value of the central pump room, the resistance coefficient value of the pipeline branch point, and the ink flow rate value of each digital printing machine are collected. The central pump room is numbered sequentially according to the physical connection position from the central pump room to each pipeline branch point and the inlet of each digital printing machine. The output power value of the central pump room, the resistance coefficient value of the pipeline branch point, and the ink flow rate value of each digital printing machine are written into a unified node sequence and the position is sorted accordingly. Based on the Bernoulli energy conservation relationship and the resistance change relationship of each node, the pressure of adjacent nodes is recursively calculated node by node to form a pressure distribution set of each node in the pipeline network.

[0039] Based on the pressure distribution set of each node in the pipeline network and the set operating pressure value, the limit range is calculated using the following formula:

[0040] ;

[0041] in, For the limit range, For the first The transient pressure values ​​corresponding to each node location are derived from the pressure distribution set of each node in the pipeline network. To set the operating pressure value, This represents the total number of node locations in the pressure distribution set of all nodes in the pipeline network. The node position index represents the sequence number from the 1st node to the 2nd node. Each node participates in the calculation one by one. This represents the spatial average of the transient pressure values ​​at all nodes in the pressure distribution set of each node in the pipeline network. It is the hyperbolic tangent function;

[0042] Based on the limit range, the transient pressure values ​​in the pressure distribution set of each node in the pipeline network are read one by one and the difference is calculated with the set operating pressure value. The absolute value of the pressure difference of each node is judged. If the absolute value of the pressure difference is greater than the limit range, the corresponding node position and pressure difference value are recorded and written into the deviation record sequence while maintaining the original node sequence order. The same judgment and recording are performed on all nodes to generate the pressure deviation distribution set of the ink supply pipeline network.

[0043] Specifically, the system collects the output power of the central pump station, the resistance coefficient of pipeline branch points, and the ink flow rate of each digital printing machine. It reads the equipment feedback electrical signal every 100 milliseconds, converts the analog signal into a digital value, and obtains the raw monitoring values ​​including power, resistance, and flow rate. Each record is compared with a defined effective range; for example, power is compared to the 5kW to 15kW range, resistance coefficient to the 0.01 to 0.05 range, and flow rate to the 10L / h to 50L / h range. Abnormal data outside these ranges are removed. The system extracts factory drawing data of the ink supply network, analyzes the pipeline routing and connection topology, sets the central pump station as the starting point and marks it as node number 1. Along the conveying direction, each branch point or equipment inlet is sequentially numbered, constructing a topological linked list. A multi-dimensional data structure is established as a unified node sequence. The system traverses the position numbers and extracts node number 1. The corresponding power value is stored at the beginning of the sequence. The resistance coefficient value and flow rate value corresponding to each number are read and filled into the sequence in order to complete the positional organization. The output power value of the central pump room is extracted and converted into the initial fluid pressure according to the pump efficiency ratio. The elevation difference data between adjacent nodes is extracted. The known pressure value of the previous node is obtained. The corresponding resistance coefficient value is read. The flow rate value of the pipe section is extracted. The flow rate value is multiplied by itself to obtain the square value of the flow rate. The square value of the flow rate is multiplied by the resistance coefficient value to obtain the pressure loss along the pipe section. The pressure loss is subtracted from the known pressure of the previous node. The pressure change caused by the elevation difference is added or subtracted for compensation to obtain the transient pressure of the next node. The pressure recursion calculation operation is repeated for all adjacent nodes in the topology list until the final pressure at the end is calculated. The transient pressure values ​​calculated by all nodes are summarized and organized in order to form the pressure distribution set of each node in the pipeline network.

[0044] In the formula for calculating the limit range, a hyperbolic tangent function is introduced to perform a nonlinear mapping of the ratio of average pressure to set pressure. Combined with the standard deviation of pressure at each node in the pipeline network, a limit range that can adaptively adjust with the current overall operating conditions of the pipeline network is constructed. The ratio of set operating pressure to average pressure reflects the current macroscopic fullness of the pipeline network. The hyperbolic tangent function maps it to a bounded interval to prevent the limit benchmark from being distorted and expanded due to excessive absolute pressure. At the same time, the standard deviation part characterizes the uneven distribution and dispersion of pressure inside the pipeline network. Adding the two parts together makes the final limit range take into account both the fullness of global pressure and the reasonable deviation of local fluctuations, thereby improving the robustness of subsequent pressure anomaly judgment.

[0045] This represents the set operating pressure value. The steps to obtain this parameter are as follows: extract the operating pressure manual provided by the printing machine printhead manufacturer, record the base rated pressure value of the printhead under optimal ink output conditions, and then add a compensation margin value to the base rated pressure value to obtain the set operating pressure value. The calculation formula is: ,in Indicates the basic rated pressure. This represents the compensation margin value, for example, in conjunction with the subsequently obtained basic rated pressure. kPa, and the compensation margin calculated based on the equipment operation and maintenance log records. kPa is substituted into the formula to calculate the set operating pressure value. kPa;

[0046] This represents the basic rated pressure. The steps to obtain this parameter are as follows: extract the operating pressure manual provided by the printhead manufacturer and record the basic rated pressure value of the printhead under optimal ink output conditions. For example, consult the official instruction manual of an A-type digital printing machine to obtain the basic rated pressure of that printhead model. Set to 120 kPa;

[0047] This represents the compensation margin. The steps to obtain this parameter are as follows: retrieve the factory's historical operation and maintenance system records of the ink supply network over the past year; extract monthly data on pressure drop at the network's end caused by impurities adhering to the pipe walls and pump impeller wear; summarize the pressure drop data for these 12 months and calculate the average value. For example, based on the equipment operation and maintenance log records of the past year, extract and calculate the cumulative monthly average pressure drop caused by wear in the network, and then determine the annual average pressure reduction, i.e., the compensation margin. The pressure is 5 kPa.

[0048] This represents the total number of node locations in the pressure distribution set of all nodes in the pipeline network. For example, if a scan is performed on the ink supply pipeline in a factory at a certain moment, and 10 monitoring nodes are registered in the equipment registry, and 5 of these nodes successfully respond to the heartbeat detection and return valid data, then the total number of node locations currently participating in the calculation is determined. ;

[0049] Representing the The transient pressure values ​​corresponding to each node location, for example, based on the total number of node locations obtained above. The signals collected from these 5 nodes were filtered and subjected to extreme value removal and averaging to obtain the transient pressure values ​​for each node, namely the first node. kPa, the second node kPa, 3rd node kPa, 4th node kPa, 5th node kPa;

[0050] Represents the node position count index, for example, for the previously determined total number of node positions. Assigning values ​​when the operation starts After processing the first node, It becomes 2, and increases sequentially until... After processing, the sequence traversal operation will stop incrementing and end.

[0051] This represents the spatial average of the transient pressure values ​​of all nodes in the pressure distribution set of each node in the pipeline network. For example, by substituting the transient pressure values ​​of the five nodes obtained earlier, we get... kPa, kPa, kPa, kPa, kPa, and the total number of nodes Substituting into the calculation formula yields kPa, thus obtaining the spatial average value of transient pressure values ​​at all nodes;

[0052] Calculations based on parameters:

[0053] The previously obtained set operating pressure value Nodal transient pressure values , , , , Total number of nodes Spatial average Substitute into the formula:

[0054] ;

[0055] Calculate the hyperbolic tangent term:

[0056] because and Both quantities are in kPa. After dividing them, their dimensions cancel each other out, resulting in a dimensionless ratio:

[0057] ;

[0058] The hyperbolic tangent result is a dimensionless parameter, unlike the parameter with kPa dimension. Multiplying them, the dimensions of this part are restored to kPa: .

[0059] Calculation of standard deviation:

[0060] when hour, ;

[0061] when hour, ;

[0062] when hour, ;

[0063] when hour, ;

[0064] when hour, ;

[0065] The dimensions of all the above square terms are square kilopascals: ;

[0066] Sum the squared terms of all nodes: ;

[0067] Calculate the variance and perform the square root operation. After taking the square root, the dimension is restored from square kilopascals to kilopascals: ;

[0068] Calculate the sum to obtain the limit range :

[0069] Both parts have the dimension of kPa, and adding them together gives the final result: .

[0070] The results indicate that the maximum allowable pressure drop deviation range of the pipeline network during the current operating cycle has been quantified to 97.936 kPa. This value provides a benchmark for subsequent steps. By comparing the actual pressure deviation of each node with 97.936 kPa, if the absolute value of the pressure difference is less than this limit, it indicates that the corresponding pressure fluctuation is a normal hydraulic disturbance in the fluid transport process, which the pipeline network can digest and balance on its own without intervention. When the absolute value of the pressure difference is greater than this value, it means that an abnormal rupture, leakage, or blockage has occurred at the corresponding node, as a pressure drop of more than 97.936 kPa has been generated. This extreme condition needs to be recorded as the pipeline network pressure deviation distribution and trigger further compensation and adjustment.

[0071] Based on the aforementioned limit range, a memory-based data table is established as the deviation recording sequence. The initial state of the data table is set to empty. A read pointer is initialized and positioned at the beginning of the pressure distribution set of each node in the pipeline network. The transient pressure value corresponding to the node pointed to by the current pointer is extracted. At the same time, the set operating pressure value determined earlier is called. The transient pressure value of the current node is subtracted from the set operating pressure value to obtain the pressure difference of the node. The sign part of the pressure difference is removed to obtain the absolute value of the pressure difference. This absolute value of the pressure difference is compared with the limit range obtained earlier. For example, the transient pressure value of node 1 is extracted as 128 kPa, and the set operating pressure value is extracted as 125 kPa. The difference between the two is calculated to be 3 kPa. Since 3 kPa is a positive number, its absolute value is 3 kPa. 3 kPa is compared with the limit range of 97.936 kPa calculated earlier. Since 3 kPa is not greater than 97.936 kPa, no response is generated. The system should ignore the data of the node and move the read pointer one position forward. For example, it reads the transient pressure value of another monitoring node in a pipeline rupture state as 20 kPa. Subtracting this from 125 kPa yields a difference of -105 kPa. The absolute value is then calculated as 105 kPa. This is compared again with the limit range of 97.936 kPa. Since 105 kPa is greater than 97.936 kPa, it confirms that the node is malfunctioning. The system extracts the physical location number corresponding to the node and the calculated absolute value of the 105 kPa pressure difference. These two data points are combined into a deviation entry and appended to the end of the deviation record sequence. The writing action follows the physical location order of the original node sequence. The system continues to move the read pointer forward and performs the same difference calculation and threshold judgment operation on all nodes. All data rows that meet the condition of exceeding the limit range are selected until the end of the set is reached, ending the traversal. All abnormal deviation entries written to the data table are integrated to generate a set of pressure deviation distributions for the ink supply network.

[0072] The steps for obtaining the feedforward regulation parameter set for the entire plant's pipeline network are as follows:

[0073] Extract all node position data items from the pressure deviation distribution set of the ink supply network, establish a one-to-one mapping according to the central variable frequency pump control channel number and electronic proportional valve control channel number corresponding to the node position data item, read the deviation value corresponding to each node position data item, convert the central variable frequency pump power correction range and electronic proportional valve opening correction range according to the preset proportional coefficient, and write them into the same adjustment record sequence according to the node position data item order to form the central variable frequency pump output power adjustment amount and electronic proportional valve opening adjustment amount;

[0074] Based on the output power adjustment of the central variable frequency pump and the opening adjustment of the electronic proportional valve, the control channel number of the central variable frequency pump, the control channel number of the electronic proportional valve, the output power adjustment value of the central variable frequency pump, and the opening adjustment value of the electronic proportional valve corresponding to each node location data item are checked one by one. The two types of adjustment contents corresponding to the same node location data item are merged and written into a unified parameter item, and the items are sorted according to the ink supply path direction to generate a set of feedforward adjustment parameters for the entire plant pipeline network.

[0075] Specifically, extract all node location data items from the aforementioned ink supply network pressure deviation distribution set. Open the factory equipment network communication configuration file, iterate through the location numbers of all abnormal nodes, and find the central variable frequency pump control channel number and electronic proportional valve control channel number bound to each node in the control network. Use the node number as the primary key and associate the corresponding two channel numbers in the same data structure to complete the one-to-one mapping. Then determine the preset proportional coefficient required for conversion. Extract the equipment's historical trial operation and debugging logs, and filter out the operation data when the pipeline is in a typical pressure decay state. For example, find the record where the pipeline artificially creates a pressure deviation of 100 kPa, and the measured variable frequency pump power increment is 5 kW. Divide the power increment by the corresponding pressure deviation value to calculate the preset proportional coefficient for the central variable frequency pump as 0.05 kW / kPa. Similarly, extract the measured electronic proportional valve opening under this operating condition. The incremental record is 10%. The opening increment is divided by the pressure deviation value to obtain the preset proportional coefficient for the electronic proportional valve, which is 0.1% / kPa. Then, the deviation value associated with each node position data item in the set is read sequentially. For example, the deviation value corresponding to the node that was previously judged to be abnormal is 105kPa. 105kPa is multiplied by the calculated preset proportional coefficient for the pump, which is 0.05kW / kPa, to obtain the power correction range of the central variable frequency pump, which is 5.25kW. Then, 105kPa is multiplied by the calculated preset proportional coefficient for the valve, which is 0.1% / kPa, to obtain the opening correction range of the electronic proportional valve, which is 10.5%. A new continuous storage area is opened in memory as the adjustment record sequence. According to the order of the physical position of the nodes, the power correction range and opening correction range calculated for each node are added to the corresponding row of the sequence one by one to form the output power adjustment amount of the central variable frequency pump and the opening adjustment amount of the electronic proportional valve.

[0076] Based on the aforementioned central variable frequency pump output power adjustment and electronic proportional valve opening adjustment, a data verification loop pointer is established to locate the first line of the adjustment record sequence. The node position data item registered in the current line is extracted, and the central variable frequency pump control channel number and electronic proportional valve control channel number bound to that node are read. Simultaneously, the corresponding central variable frequency pump output power adjustment value (e.g., the previously calculated 5.25kW) and electronic proportional valve opening adjustment value (e.g., the previously mentioned 10.5%) are retrieved. The format of the control channel number is compared with the address format in the equipment registry to confirm data integrity and absence of out-of-bounds errors. A new structured parameter entry is created in memory, containing the node position number, pump channel number, valve channel number, 5.25kW power adjustment, and 10.5%. The opening adjustment amount is combined and filled into the entry. The extraction, verification and combination operation is repeated for all node positions in the sequence until all abnormal nodes are traversed. The three-dimensional layout design drawing of the factory ink supply network is extracted. The physical flow distance values ​​from the central pump room through each branch pipe to the end of each digital printing machine are analyzed in the drawing. All merged parameter entries are assigned corresponding pipeline flow distance coordinate values ​​according to their corresponding physical position nodes. The bubble sort algorithm is used to rearrange the positions of all parameter entries in ascending order of distance coordinate values. The node parameter entry closest to the central pump room is placed at the front of the list, and the node parameter entry at the end of the pipeline is moved to the end of the list. The sequence arrangement of the adjustment actions of the whole line is completed, and the feedforward adjustment parameter set of the whole factory pipeline network is generated.

[0077] The steps for obtaining the probability feature of congestion in logistics for a single machine are as follows:

[0078] Based on the feedforward adjustment parameter set of the entire plant pipeline network, the current cloth storage value and the corresponding maximum capacity calibration value of each cloth storage device along the entire line are read one by one. For each cloth storage device, the values ​​are matched, the ratio is calculated and the results are registered. The current cloth storage ratio of each cloth storage device is written into the feature record unit under the corresponding machine identifier. All feature record units are sorted in the order of machine layout to obtain the single machine logistics congestion probability feature quantity.

[0079] Specifically, based on the aforementioned set of feedforward adjustment parameters for the entire factory's pipeline network, the system obtains read permissions from the production line equipment bus controller, sends status query command packets to all fabric storage device hardware interfaces across the entire line, receives real-time length data from the tension sensors and displacement encoders inside each fabric storage device, parses it into the current fabric storage quantity, extracts the upper volume limit recorded on the factory nameplate and in the production configuration document for each fabric storage device, and obtains the corresponding maximum capacity calibration value. For example, if the current fabric storage quantity reported by the fabric storage device of machine number 1 is 850 meters, and the configuration document shows that the maximum capacity calibration value for this fabric storage device is 1000 meters, a device identification mapping table is established, and the device number of machine number 1 is paired and bound with the current fabric storage quantity of 850 meters and the maximum capacity of 1000 meters. After confirming that they belong to the same physical device, the ratio operation is performed. The calculation involves dividing the current fabric quantity by the maximum capacity setting, for example, dividing 850 meters by 1000 meters, resulting in a ratio of 0.85. Each printing machine is allocated an independent storage space as a feature record unit in the memory database. The calculated ratio of 0.85 is saved to the feature record unit corresponding to machine number 1. Instructions are sequentially issued to all machines on the entire line, and the reading, pairing, and division operations are repeatedly executed. All calculated fabric quantity ratios are written to their respective machine record units. The workshop equipment layout diagram is extracted to obtain the physical flow processing sequence of materials from the pre-processing machine through each printing machine to the finishing machine. All feature record units are extracted sequentially according to this physical processing sequence and linearly spliced ​​to form a continuous data array, yielding the single-machine logistics congestion probability feature.

[0080] The steps to obtain the entropy value of the entire material flow congestion information are as follows:

[0081] Based on the probability characteristics of material flow congestion at each individual machine, the probability characteristics of material flow congestion at each individual machine are read sequentially according to the machine layout order. The entropy value of material flow congestion information for the entire line is calculated using the following formula:

[0082] ;

[0083] in, The entropy value represents the information on congestion in the entire material flow process. For the first The probability characteristic of single-machine logistics congestion corresponding to each machine. This represents the total number of probabilistic characteristics of logistics congestion for individual machines involved in the calculation. The machine number is used as a counter for the probability characteristic of logistics congestion on a single machine, incrementing from the 1st machine to the 2nd machine. Tabletop machine, The machine serial number is used to count the total probability characteristics of logistics congestion for all individual machines, incrementing from the first machine to the next. Tabletop machine, The summation operator is used to perform an accumulation operation on the probability characteristics of logistics congestion for all individual machines. This is the natural logarithm operator. It is a natural exponential function. The mean square value is the sum of the squared values ​​of all individual machine logistics congestion probability characteristics, divided by the total number of individual machine logistics congestion probability characteristics.

[0084] Specifically, in the formula for calculating the information entropy value of material flow congestion across the entire production line, the natural logarithm and natural exponential function are introduced, combined with the classical information entropy quantification theory, to transform the ratio of the local congestion probability characteristics of each machine in the total amount of the entire line into a non-linear information quantity measurement scale. Furthermore, the mean square value is used as the basic amplification base and combined with the normalized relative entropy, so that the extreme material backlog phenomenon of any machine will be captured in the logarithmic and exponential domains and amplified geometrically. This gives the model extremely high detection sensitivity to early logistics congestion risks, and achieves the improvement of production line cycle time coordination and proactive prevention and control.

[0085] Representing the The single-machine logistics congestion probability characteristic for each machine is, for example, based on the calculation results of the previous steps, the single-machine logistics congestion probability characteristic of the first machine is retrieved from the database. The value is 0.85. The characteristic value of the second machine is retrieved. The value is 0.75. The characteristic value of the third machine is retrieved. The value is 0.60, which serves as the core foundation data for computation;

[0086] Representing the The probability feature of single-machine logistics congestion corresponding to each machine. For example, when the algorithm core enters the normalized benchmark calculation, according to... The jump sequentially retrieves the parameters of the first device from the storage block. The value was 0.85, and then the parameters of the second unit were retrieved. The value was 0.75, and finally the parameters of the third unit were retrieved. The value is 0.60, and all of them are sent into the register to await the next step of unified merging calculation;

[0087] This parameter represents the total number of individual machine logistics congestion probability characteristics involved in the calculation. The steps to obtain this parameter are as follows: A device online query and detection command is sent to the main control logic controller of the plant's production line centralized control system. Upon receiving the request, the main control logic controller returns a list containing all currently powered-on machine nodes connected to the data communication local area network. The total number of valid node information entries in this network list is counted, and nodes that are powered off, under maintenance, or have experienced heartbeat timeouts due to poor communication quality are removed. For example, if a communication handshake protocol scan reveals that three machines on the current workshop production line are online and have successfully reported valid inventory data, then the parameter is determined. ;

[0088] The machine serial number is a counter identifier representing a characteristic of the probability of logistics congestion on a single machine. For example, when the total number of online machines is determined... When the first round of calculations begins, a value is assigned. Used to process the data of device number 1, after the calculation operation is completed, the control variable is incremented to 2 to process the second device, then incremented to 3 to process the last device, and then the counting operation is terminated.

[0089] This represents the machine serial number used when calculating the total probability characteristic of logistics congestion for all individual machines, indicating the serial number increment from the 1st machine to the 2nd machine. The inner cursor of the machine tool, for example, when And while calculating the proportion of devices, the inner loop pointer Starting from 1, the probability data of devices 1, 2, and 3 are retrieved in sequence to calculate a unified denominator.

[0090] The mean square value is obtained by summing the squared values ​​of all single-machine logistics congestion probability feature quantities and dividing them by the total number of single-machine logistics congestion probability feature quantities. For example, the extracted feature quantities 0.85, 0.75, and 0.60 are multiplied in the horizontal direction and expanded to obtain 0.7225, 0.5625, and 0.3600, respectively. The summation yields 1.645, which is then divided by the total number of machines (3) to calculate the mean square base value as 0.5483.

[0091] Calculations based on parameters:

[0092] The aforementioned characteristics of logistics congestion probability for each individual machine were used to... , , Total number of machines Substitute into the formula.

[0093] Calculation of mean square value:

[0094] ;

[0095] ;

[0096] ;

[0097] ;

[0098] ;

[0099] Calculate the proportion of each characteristic quantity in the total number of characteristics, i.e., the total amount in the denominator and its percentage:

[0100] ;

[0101] The percentage of the first unit: ;

[0102] The percentage of the second unit: ;

[0103] The percentage of third-tier units: ;

[0104] Calculate the natural logarithmic mapping term for each proportion:

[0105] ;

[0106] ;

[0107] ;

[0108] Calculate the product of each percentage and its corresponding natural logarithm:

[0109] First unit: ;

[0110] Second unit: ;

[0111] Third station: ;

[0112] Summing up the above products and inverting their signs yields the numerator of the total information content:

[0113] ;

[0114] The natural logarithm of the total number of computer stations is used as the normalized denominator:

[0115] ;

[0116] Calculate the internal quotient of the relative entropy component:

[0117] ;

[0118] Input variables for the index calculation module:

[0119] ;

[0120] Calculate the result of the natural exponential function:

[0121] ;

[0122] Multiplying the mean square value by the result of the natural exponential function yields the final entropy value of the overall material flow congestion information:

[0123] ;

[0124] The result indicates that the overall logistics congestion status metric of the entire printing production line is quantified as 0.5538. By comparing the calculated 0.5538 with the set upper limit threshold for normal operation, the occurrence of this result means that a response must be taken. If the value is greater than the empirical threshold, it indicates that the fabric storage device in a certain section is approaching its capacity limit or there is a huge material unevenness difference between machines, and the smoothness of the production line is at risk, forcing the abandonment of the conventional speed adjustment strategy and the initiation of a full-line recalibration of the same frequency and speed operation.

[0125] The steps for obtaining the global forced synchronization frequency reference value are as follows:

[0126] Read the preset state judgment threshold value, compare the entropy value of the material flow congestion information of the entire line with the preset state judgment threshold value one by one, and write the comparison result into the state judgment record sequence. When the entropy value of the material flow congestion information of the entire line is greater than the preset state judgment threshold value, register the cycle reset trigger flag and generate the cycle reset command. When the entropy value of the material flow congestion information of the entire line is not greater than the preset state judgment threshold value, register the cycle hold flag and generate the cycle hold command, thus forming the cycle reset mechanism trigger result.

[0127] Based on the triggering result of the cycle reset mechanism, the operating frequency values ​​of the built-in frequency converters of all pre-processing machines, digital printing machines, and finishing machines are read one by one. The operating frequency values ​​of all built-in frequency converters are written into the frequency summary sequence according to the equipment arrangement order. Based on the operating frequency values ​​of each built-in frequency converter in the frequency summary sequence, an exponential weighting operation is performed in combination with the single-machine logistics congestion probability characteristic of the corresponding machine. The resulting weighted benchmark value is written into the unified synchronization frequency recording unit to obtain the global forced synchronization frequency benchmark value.

[0128] Specifically, the system reads preset state judgment threshold values, extracts historical monitoring logs from the factory data management database showing stable operation of each machine over the past six months without significant stacking alarms or shutdowns, and retrieves the material flow congestion information entropy value records calculated for each instance during this period of excellent operation. It then extracts and aggregates tens of thousands of continuous and complete valid entropy values ​​into the analysis memory area. This batch of historical normal information entropy value data is summed, and the resulting large total is divided by the total number of records included in the statistics to calculate the average value for this period of excellent operating conditions. Subsequently, each extracted historical entropy value is processed... To calculate the dispersion, each value is subtracted from the previously calculated average to obtain the individual difference. These individual differences are squared, summed, and their average value is calculated. Finally, the square root is taken to calculate the standard deviation of the historical data distribution. To ensure control sensitivity while allowing for a reasonable machine self-balancing buffer, the calculated average is multiplied by the historical data distribution's standard deviation to determine a reasonable upper limit for fluctuation. This upper limit is set as a preset state judgment threshold value. For example, if the average calculated from the retrieved records is 0.400, the standard deviation is... With a standard deviation of 0.100, 0.400 is added to 0.100 to obtain a preset state judgment threshold value of 0.500. Then, the entropy value of the entire material flow congestion information calculated in the previous steps, for example 0.5538, is retrieved. This 0.5538 is compared with the preset 0.500. The judgment result of the comparison is written as an event record into a dedicated state judgment record sequence in memory. The logic of the judgment result performs a branch response, comparing the aforementioned 0.5538 with 0.500. If 0.5538 is confirmed to be greater than 0.500, it indicates that the current production line material flow is trapped. If the uneven distribution of congestion exceeds the allowable boundary, a cycle reset trigger flag with a true Boolean value representing an anomaly is written to the logic controller. The underlying communication interface is then called to encapsulate and issue a cycle reset command requiring all devices to synchronously share the flow. If the previously calculated information entropy value is, for example, 0.450, and is not greater than the limit compared to 0.500, it indicates that the current material flow is in a balanced and stable range. A cycle hold flag with a false Boolean value is written to the controller, and a cycle hold command to maintain the current state of operation is issued. These judgment actions and the corresponding generated commands are summarized to generate the cycle reset mechanism trigger result.

[0129] Based on the aforementioned trigger result of the cycle reset mechanism, the underlying control command message contained in the result is parsed. When it is confirmed that the reset mechanism needs to be executed, a data polling request is sent to the electrical drive cabinets of each processing stage through the industrial Ethernet to obtain the real-time electrical parameters fed back by the motor controller. The operating frequency value currently fed back by the inverter inside the equipment in the pre-processing area is extracted, for example, 45Hz. The operating frequency value of the inverter of the spindle equipment in the digital printing area is read, for example, 50Hz. The operating frequency value of the inverter of the winding equipment in the finishing area is obtained, for example, 48Hz. An empty one-dimensional data array is created in the memory cache space as a frequency summary sequence. According to the physical workshop arrangement order of the pre-processing machine at the front, the digital printing machine in the middle, and the finishing machine at the end, the collected 45Hz, 50Hz, and 48Hz are stored into the frequency summary sequence to complete the position alignment. Then, the first element of the frequency summary sequence, 45Hz, is read. At the same time, the memory index is used to find and match the single-machine logistics congestion probability feature value corresponding to the pre-processing machine obtained above, for example, 0.60. Pure mathematical operations are performed. The operating frequency is multiplied by the negative power of the natural base of the characteristic quantity to obtain the speed attenuation amount. Since the characteristic quantity is a dimensionless parameter, the calculated result still retains the frequency dimension in Hz. Specifically, 45Hz is multiplied by the negative 0.60 power of the natural constant e, which is multiplied by 0.5488, and the weighted frequency is calculated to be approximately 24.7Hz. The values ​​of subsequent devices in the sequence are read sequentially, and the same attenuation operation is performed on the 50Hz of the printing machine combined with the characteristic quantity 0.85, which is multiplied by 0.4274, and the weighted frequency is calculated to be 21. 4Hz, combined with the characteristic value of 0.75, the 48Hz of the post-processing machine is attenuated by multiplying by 0.4724, and the weighted processing frequency is calculated to be 22.7Hz. The three independently calculated attenuation frequency values ​​are averaged in the temporary storage, and all the Hz values ​​are added together and divided by the total number of machines to obtain 22.9Hz as the final weighted benchmark value. This will be used as the new benchmark step for future unified production across the entire line. 22.9Hz is written into the unified synchronization frequency record unit divided in the database to complete the archiving and locking, and the global forced synchronization frequency benchmark value is obtained.

[0130] The steps for obtaining the response results of centralized coordination control of multiple machine resources are as follows:

[0131] Based on the feedforward adjustment parameter set of the entire factory pipeline network, the output power adjustment of the central variable frequency pump, the opening adjustment of the electronic proportional valve, the control address of the central variable frequency pump, and the control address of the electronic proportional valve in each parameter item are analyzed one by one. The sending order is established according to the control address. The output power adjustment of the central variable frequency pump is written into the parameter register of the central variable frequency pump, and the opening adjustment of the electronic proportional valve is written into the parameter register of the associated electronic proportional valve of each digital printing machine. The parameter replacement command is executed and the parameter value after replacement is read back to form the pump and valve adjustment execution result.

[0132] Based on the pump and valve regulation execution results, the global forced synchronization frequency reference value is read, and the addresses of all pre-processor associated frequency converters, digital printing machine associated frequency converters, and finishing machine associated frequency converters are extracted. The frequency is encapsulated and written into the message according to the equipment polling order of the factory-wide distributed CNC network. The global forced synchronization frequency reference value is overwritten to the original frequency parameter area of ​​each associated frequency converter. The same speed operation start command is sent and the feedback status words of each associated frequency converter are collected to form the synchronization frequency overwrite execution result.

[0133] Retrieve the parameter replacement status of the central variable frequency pump and the parameter replacement status of the electronic proportional valve from the pump and valve regulation execution results. Retrieve the frequency overwrite status and same-speed operation status of each associated frequency converter from the synchronous frequency overwrite execution results. Summarize all status items according to the equipment address order, filter out status records that have not been written, retain status records that have completed parameter replacement and same-speed operation, and generate multi-machine resource centralized coordination control response results.

[0134] Specifically, based on the aforementioned set of feedforward adjustment parameters for the entire factory's pipeline network, the internal structure of each parameter entry in the set is read and parsed from the memory database. This extracts the output power adjustment of the central variable frequency pump (CVP), such as the previously calculated 5.25kW, and the opening adjustment of the electronic proportional valve, such as the previously calculated 10.5%. Simultaneously, the control addresses of the CVP and the electronic proportional valve, which are bound to these two adjustment values, are extracted. The topology diagram of the factory's underlying control network is retrieved. A conflict-free data transmission order is established based on the mounting order of each control address on the physical network bus to avoid data packet congestion and loss caused by concurrent communication. Following the pre-defined transmission order, a write operation command is issued to the underlying controller of the CVP via the industrial Ethernet protocol, transferring the extracted data... The 5.25kW power adjustment is written into the variable frequency pump parameter register area within the controller, overwriting the old data. Then, a control message is sent to the associated electronic proportional valves distributed next to each digital printing machine, writing a 10.5% opening adjustment into the parameter register area corresponding to these electronic proportional valves. After all the write messages have been sent, a parameter replacement activation command is broadcast to all pump and valve equipment to trigger hardware action. A 500ms waiting delay is set, and then a readback request is initiated to reread the currently effective parameter values ​​from each register area. The readback values ​​are compared with the initially issued power adjustment and opening adjustment values ​​to determine whether the underlying hardware has truly accepted the new control parameters. The acceptance or rejection response flag of each device is recorded to form the pump and valve adjustment execution result.

[0135] Based on the pump and valve adjustment execution results generated above, and under the prerequisite that the flow and pressure of the ink supply network have been adjusted, the global forced synchronization frequency reference value calculated and locked in the previous process, such as the aforementioned 22.9Hz, is read from the cache of the main control program. The production line equipment asset management ledger is opened, and the network communication addresses of all inverters associated with the pre-processing machine, the digital printing machine, and the finishing machine are extracted according to the material processing flow. The communication polling and scheduling configuration file of the entire factory's distributed CNC network is retrieved, and the communication time slice order assigned to each device at the current moment is obtained. According to the polling order of the time slices, the addresses of each inverter are arranged into a sending queue, and an independent inverter address is instantiated for each inverter address in the queue. The data packet embeds the 22.9Hz frequency reference value into the data payload segment of the packet to encapsulate a frequency write message. The message is then sent out one by one along the established polling queue, penetrating the communication gateways of each device, and overwriting the 22.9Hz value into the original frequency parameter area used to control the motor speed inside each associated frequency inverter, replacing the original independent operating frequency. After confirming that the frequency parameter area of ​​all frequency inverters has been overwritten, a global synchronous speed start command is issued to activate the frequency inverters to drive the motor at the new 22.9Hz frequency. The receiving and listening port is opened to collect the status words fed back by each associated frequency inverter after operation, and the hexadecimal code in the status word is parsed to confirm whether the motor has entered a stable operating state, forming the synchronous frequency overwrite execution result.

[0136] The pump and valve adjustment execution results obtained above are retrieved, and various feedback flags related to the ink supply system are extracted, including the parameter replacement status of the central variable frequency pump and the parameter replacement status of each electronic proportional valve. For example, the flag indicating successful replacement or the error code indicating communication timeout is extracted. Simultaneously, the synchronous frequency overwrite execution results obtained above are retrieved, and various operating flags related to the transmission system are extracted, including the frequency overwrite status of each associated frequency converter and the feedback status of whether the motor has achieved the same speed. A two-dimensional data tracing matrix table is constructed in memory, and all extracted pump and valve status items and frequency converter status items are imported into the table. According to the ascending order of the network interface card physical addresses of each underlying device, the position of all status items in the tracing matrix table is determined. Rearrangement and aggregation group the statuses of equipment belonging to the same production physical area together. Traverse this aggregated matrix table, perform logical review on each record, and filter out status records with erroneous feedback. For example, if the frequency overwrite status of a certain finishing machine is found to be incomplete, or if a certain electronic proportional valve is found to be mechanically stuck and unable to complete parameter replacement, these abnormal data rows are completely removed from the matrix table and transferred to a dedicated fault alarm queue for rejection. Records with feedback codes that clearly indicate that parameter replacement has been completed and that the equipment is operating at the same speed are retained. The data structure of the retained good records is restructured and packaged into a comprehensive feedback dataset to generate a multi-machine resource centralized coordination control response result.

[0137] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention in any other way. Any person skilled in the art may make changes or modifications to the above-disclosed technical content to create equivalent embodiments that can be applied to other fields. However, any simple modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the protection scope of the present invention.

Claims

1. An automated control method for an intelligent digital printing textile fabric production line, characterized in that, Includes the following steps: A correlation matrix of the entire factory ink supply network is collected and established. The elements of the correlation matrix are substituted into the Bernoulli equation formula for calculation to generate a pressure distribution set of each node in the network. The values ​​in the pressure distribution set of each node in the network are compared with the set operating pressure values ​​to generate a pressure deviation distribution set of the ink supply network. Extract the corresponding deviation values ​​of each node location data item in the pressure deviation distribution set of the ink supply pipeline network, generate the corresponding central variable frequency pump output power adjustment amount and electronic proportional valve opening adjustment amount, establish the feedforward adjustment parameter set of the entire factory pipeline network by combining the corresponding central variable frequency pump output power adjustment amount and electronic proportional valve opening adjustment amount, then obtain the current cloth storage amount value and the corresponding maximum capacity calibration value in each cloth storage device of the entire line, and calculate the single machine material flow congestion probability characteristic quantity; Based on the single-machine logistics congestion probability characteristic, calculate the entropy value of the entire material flow congestion information, compare the entropy value of the entire material flow congestion information with the preset state judgment threshold value, and obtain the global forced synchronization frequency benchmark. The calibration and adjustment values ​​within the feedforward adjustment parameter set of the entire factory pipeline network are sent to the central variable frequency pump and the associated electronic proportional valves of each digital printing machine to replace the current opening parameter values. The combined actions of each issued action generate a centralized coordinated control response result for multiple machine resources.

2. The automated control method for an intelligent digital printing textile fabric production line according to claim 1, characterized in that, The steps for obtaining the pressure deviation distribution set of the ink supply network are as follows: The output power value of the central pump room, the resistance coefficient value of the pipeline branch point, and the ink flow rate value of each digital printing machine are collected. The central pump room is numbered sequentially according to the physical connection position from the central pump room to each pipeline branch point and the inlet of each digital printing machine. The output power value of the central pump room, the resistance coefficient value of the pipeline branch point, and the ink flow rate value of each digital printing machine are written into a unified node sequence and the position is sorted accordingly. Based on the Bernoulli energy conservation relationship and the resistance change relationship of each node, the pressure of adjacent nodes is recursively calculated node by node to form a pressure distribution set of each node in the pipeline network. Calculate the limit range based on the pressure distribution set of each node in the pipeline network and the set operating pressure value; Based on the aforementioned limit range, the transient pressure values ​​in the pressure distribution set of each node in the pipeline network are read item by item and the difference is calculated with the set operating pressure value. The absolute value of the pressure difference at each node is judged. If the absolute value of the pressure difference is greater than the aforementioned limit range, the corresponding node position and pressure difference value are recorded and written into the deviation record sequence while maintaining the original node sequence order. The same judgment and recording are performed on all nodes to generate the pressure deviation distribution set of the ink supply pipeline network.

3. The automated control method for an intelligent digital printing textile fabric production line according to claim 1, characterized in that, The steps for obtaining the feedforward regulation parameter set for the entire plant pipeline network are as follows: Extract all node position data items from the pressure deviation distribution set of the ink supply network, establish a one-to-one mapping according to the central variable frequency pump control channel number and electronic proportional valve control channel number corresponding to the node position data item, read the deviation value corresponding to each node position data item, calculate the power correction range of the central variable frequency pump and the opening correction range of the electronic proportional valve according to the preset proportional coefficient, and write them into the same adjustment record sequence according to the node position data item order to form the output power adjustment amount of the central variable frequency pump and the opening adjustment amount of the electronic proportional valve; Based on the central variable frequency pump output power adjustment amount and the electronic proportional valve opening adjustment amount, the central variable frequency pump control channel number, electronic proportional valve control channel number, central variable frequency pump output power adjustment amount value and electronic proportional valve opening adjustment amount value corresponding to each node position data item are checked one by one. The two types of adjustment contents corresponding to the same node position data item are merged and written into a unified parameter item, and the items are sorted according to the ink supply path direction to generate a set of feedforward adjustment parameters for the entire plant pipeline network.

4. The automated control method for an intelligent digital printing textile fabric production line according to claim 1, characterized in that, The steps for obtaining the probability feature of logistics congestion on a single machine are as follows: Based on the feedforward adjustment parameter set of the entire plant pipeline network, the current cloth storage value and the corresponding maximum capacity calibration value in each cloth storage device along the entire line are read one by one. For each cloth storage device, the values ​​are matched, the ratio is calculated and the results are registered. The current cloth storage ratio of each cloth storage device is written into the feature record unit under the corresponding machine identifier. All feature record units are sorted in the order of machine arrangement to obtain the single machine logistics congestion probability feature quantity.

5. The automated control method for an intelligent digital printing textile fabric production line according to claim 1, characterized in that, The steps for obtaining the entropy value of the entire material flow congestion information are as follows: Based on the single-machine logistics congestion probability characteristic, all the single-machine logistics congestion probability characteristic values ​​are read one by one according to the machine layout order, and the entropy value of the entire material flow congestion information is calculated.

6. The automated control method for an intelligent digital printing textile fabric production line according to claim 1, characterized in that, The steps for obtaining the global forced synchronization frequency reference value are as follows: Read the preset state judgment threshold value, compare the entropy value of the material flow congestion information of the entire line with the preset state judgment threshold value item by item, and write the comparison result into the state judgment record sequence. When the entropy value of the material flow congestion information of the entire line is greater than the preset state judgment threshold value, register the cycle reset trigger flag and generate the cycle reset command. When the entropy value of the material flow congestion information of the entire line is not greater than the preset state judgment threshold value, register the cycle hold flag and generate the cycle hold command, thus forming the cycle reset mechanism trigger result. Based on the triggering result of the aforementioned cycle reset mechanism, the operating frequency values ​​of the built-in frequency converters of all pre-processing machines, digital printing machines, and finishing machines are read one by one. The operating frequency values ​​of all built-in frequency converters are written into the frequency summary sequence according to the equipment arrangement order. Based on the operating frequency values ​​of each built-in frequency converter in the frequency summary sequence, an exponential weighting operation is performed in combination with the single-machine logistics congestion probability characteristic of the corresponding machine. The resulting weighted benchmark value is written into the unified synchronization frequency recording unit to obtain the global forced synchronization frequency benchmark value.

7. The automated control method for an intelligent digital printing textile fabric production line according to claim 1, characterized in that, The steps for obtaining the response result of the centralized coordination control of multi-machine resources are as follows: Based on the feedforward adjustment parameter set of the entire factory pipeline network, the output power adjustment of the central variable frequency pump, the opening adjustment of the electronic proportional valve, the control address of the central variable frequency pump, and the control address of the electronic proportional valve in each parameter item are analyzed one by one. The sending order is established according to the control address. The output power adjustment of the central variable frequency pump is written into the parameter register of the central variable frequency pump, and the opening adjustment of the electronic proportional valve is written into the parameter register of the associated electronic proportional valve of each digital printing machine. The parameter replacement command is executed and the parameter value after replacement is read back to form the pump and valve adjustment execution result. Based on the pump and valve adjustment execution results, the global forced synchronization frequency reference value is read, and the addresses of all pre-processor associated frequency converters, digital printing machine associated frequency converters, and finishing machine associated frequency converters are extracted. The frequency is encapsulated and written into a message according to the equipment polling order of the factory-wide distributed CNC network. The global forced synchronization frequency reference value is overwritten to the original frequency parameter area of ​​each associated frequency converter. A synchronous speed operation start command is sent and the feedback status words of each associated frequency converter are retrieved, forming the synchronization frequency overwrite execution result.

8. The automated control method for an intelligent digital printing textile fabric production line according to claim 7, characterized in that, The steps for obtaining the response results of the centralized coordination control of multi-machine resources also include: The system retrieves the parameter replacement status of the central variable frequency pump and the parameter replacement status of the electronic proportional valve from the pump and valve adjustment execution results. It also retrieves the frequency overwrite status and same-speed operation status of each associated frequency converter from the synchronous frequency overwrite execution results. The system summarizes all status items according to the order of equipment addresses, filters out status records that have not been written, retains status records that have completed parameter replacement and same-speed operation, and generates a multi-machine resource centralized coordination control response result.

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