A PVC plastic tile raw material batching machine feeding intelligent monitoring method

Abstract

The application discloses a PVC plastic tile raw material batching machine feeding intelligent monitoring method, relates to the technical field of intelligent monitoring, and comprises the following steps: acquiring formula control information of a current PVC plastic tile production batch, feeding initial information and feeding control boundary information of each raw material feeding channel, and generating target feeding reference information corresponding to each raw material feeding channel; controlling the starting state of each raw material feeding channel according to the target feeding reference information, collecting process state information of each raw material feeding channel, and performing time sequence correlation and execution consistency checking to generate credible feeding information; determining a target deviation correction control instruction according to deviation correction prediction information and feeding control boundary information, and delivering the target deviation correction control instruction to the corresponding raw material feeding channel to execute cooperative deviation correction and generate feeding monitoring information. The target deviation correction instruction is determined by predicting the feeding state and the correction degree of the residual error, the feeding range and the deviation effectiveness are judged before delivery, and the risk of feeding out-of-range and the expansion of the deviation of the raw material composition is reduced.

Description

Technical Field

[0001] This invention relates to the field of intelligent monitoring technology, and in particular to an intelligent monitoring method for feeding PVC plastic tile raw material batching machines. Background Technology

[0002] In existing technologies, the production of PVC plastic roofing sheets typically involves mixing multiple raw materials according to a predetermined ratio, with different raw materials within a production batch entering the batching machine in a predetermined proportion. With the improvement of continuous production and automation control, the raw material feeding channel has gradually evolved from simple start-stop control to process monitoring and feeding management based on batches, channels, and process parameters.

[0003] Existing intelligent monitoring technologies for PVC plastic roofing typically rely on equipment start-up and shutdown, weighing feedback, or cumulative feeding results as the primary control basis. However, they do not adequately consider the proportional fluctuations, channel operation differences, and metering anomalies that occur when multiple raw materials are continuously fed within the same production batch. When the amount of a certain raw material deviates during the feeding process, existing methods struggle to promptly determine the impact of this deviation on the overall formula ratio. This results in a lack of stable basis for subsequent feeding adjustments, consequently affecting the accuracy of raw material ratio control for PVC plastic roofing and the consistency of batch production quality. Summary of the Invention

[0004] In view of the aforementioned existing problems, the present invention is proposed.

[0005] Therefore, this invention provides an intelligent monitoring method for feeding PVC plastic tile raw material batching machines to solve the problems of inaccurate identification of proportioning deviations and insufficient basis for correction control in the process of feeding multiple raw materials.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: This invention provides an intelligent monitoring method for feeding PVC plastic tile raw material batching machine, which includes acquiring the formula control information of the current PVC plastic tile production batch, the initial feeding information of each raw material feeding channel and the feeding control boundary information, and generating target feeding reference information corresponding to each raw material feeding channel. The starting status of each raw material feeding channel is controlled according to the target feeding reference information. The process status information of each raw material feeding channel is collected, and the timing association and execution consistency verification are performed to generate reliable feeding information. Based on reliable feeding information and target feeding baseline information, the actual feeding composition information and target feeding composition information of the current batch are determined, and the ratio difference analysis is performed to generate formula ratio residual information. By using the formula ratio residual information and the target feeding reference information, the ratio coordination correction relationship of each raw material feeding channel in the remaining feeding process is determined, and multiple sets of candidate correction control commands are generated. Based on reliable feeding information, formula ratio residual information, target feeding reference information and feeding control boundary information, a shadow feeding verification process synchronized with the current feeding status is constructed, and multiple sets of candidate correction control commands are virtually executed and verified to generate corresponding correction prediction information. Based on the correction prediction information and the feeding control boundary information, the target correction control command is determined and issued to the corresponding raw material feeding channel to perform collaborative correction and generate feeding monitoring information.

[0007] As a preferred embodiment of the intelligent monitoring method for feeding PVC plastic tile raw material batching machine according to the present invention, the specific steps for generating target feeding reference information corresponding to each raw material feeding channel are as follows: Obtain the formula control information, initial feeding information of each raw material feeding channel, and feeding control boundary information of the current PVC plastic tile production batch, and determine the raw material category, target ratio relationship, and batch feeding task information of the current batch. According to the raw material category, the batch feeding task information is assigned to the corresponding raw material feeding channel, and the initial feeding status and the amount of feeding to be executed are determined in combination with the initial feeding information; Based on the feeding control boundary information, the initial feeding state and the amount of feeding to be executed are compared to obtain the target feeding state and feeding execution range in the current batch. According to the raw material feeding channel, the raw material category, target ratio relationship, batch feeding task information, target feeding status and feeding execution range are collected to generate target feeding benchmark information for each raw material feeding channel.

[0008] As a preferred embodiment of the intelligent monitoring method for feeding PVC plastic tile raw material batching machine described in this invention, the specific steps for generating reliable feeding information are as follows: The starting status of each raw material feeding channel is controlled according to the target feeding reference information, the process status information of each raw material feeding channel is collected, and the collection time marker is recorded synchronously. Based on the time stamp of the data collection, the process status information is arranged in time sequence, and the time correspondence between different raw material feeding channels is established to obtain the time-series associated process status information. The process status information associated with the time sequence is checked for consistency with the target feeding reference information to generate reliable feeding information.

[0009] As a preferred embodiment of the intelligent monitoring method for feeding PVC plastic tile raw material batching machine described in this invention, the specific steps for generating formula ratio residual information are as follows: Based on the category of raw materials, the reliable feeding information is divided into feeding composition to obtain the actual feeding composition information of the current batch. The target feeding reference information is also divided into feeding composition to obtain the target feeding composition information of the current batch. Based on the actual and target feed composition information, the actual and target feed proportions for each raw material category are determined. The actual and target feed proportions for the same raw material category are compared to obtain the proportion deviation value and deviation direction, and formula ratio residual information is generated.

[0010] As a preferred embodiment of the intelligent monitoring method for feeding PVC plastic tile raw material batching machine described in this invention, the method of obtaining the percentage deviation value and the deviation direction refers to using the target feeding percentage under the same raw material category as a comparison benchmark, determining the percentage difference between the actual feeding percentage and the target feeding percentage, obtaining the percentage deviation value of the corresponding raw material category, and determining the deviation direction of the corresponding raw material category based on whether the actual feeding percentage is higher, lower, or the same as the target feeding percentage.

[0011] As a preferred embodiment of the intelligent monitoring method for feeding PVC plastic tile raw material batching machine described in this invention, the specific steps for generating multiple sets of candidate correction control commands are as follows: Determine the remaining feed amount for each raw material category during the remaining feed process based on the target feed baseline information; Based on the percentage deviation value and deviation direction in the formula ratio residual information, the correction objects for each raw material category are divided. The raw material category whose actual feeding percentage is higher than the target feeding percentage is identified as the feeding restriction object, and the raw material category whose actual feeding percentage is lower than the target feeding percentage is identified as the feeding compensation object. With the remaining feeding amount and feeding execution range as constraints, group matching is performed based on the proportional deviation values ​​corresponding to the feeding restriction object and the feeding compensation object to form a ratio coordination correction relationship. The remaining feeding amount is then coordinated and adjusted according to the ratio coordination correction relationship to generate multiple sets of candidate correction control instructions.

[0012] As a preferred embodiment of the intelligent monitoring method for feeding the PVC plastic tile raw material batching machine described in this invention, the specific steps of constructing the shadow feeding verification process synchronized with the current feeding status are as follows: Based on reliable feeding information, the completed feeding information is determined, and the completed feeding information and the remaining feeding amount are matched according to the raw material category to form shadow feeding verification data corresponding to the current feeding status; Write the percentage deviation value and deviation direction in the formula ratio residual information into the shadow feeding verification data to generate the feeding quantity to be restricted for the feeding restriction object and the feeding quantity to be compensated for the feeding compensation object. Substitute multiple sets of candidate correction control commands into the shadow feeding verification data one by one, and make virtual adjustments to the feed quantity to be restricted and the feed quantity to be compensated according to the ratio coordination correction relationship, update the remaining feed quantity, and obtain the predicted feed composition information corresponding to each set of candidate correction control commands. The predicted feeding composition information is verified against the feeding control boundary information to form a shadow feeding verification process that is synchronized with the current feeding status.

[0013] As a preferred embodiment of the intelligent monitoring method for feeding PVC plastic tile raw material batching machine according to the present invention, the specific steps for generating corresponding correction prediction information are as follows: Based on the predicted feeding composition information and feeding control boundary information of each group of candidate correction control commands, boundary verification is performed on each group of candidate correction control commands to form boundary compliance status information and predicted execution status. Based on the predicted feeding composition information and the target feeding benchmark information, the predicted feeding ratio corresponding to each group of candidate correction control commands is determined, and compared with the target feeding ratio to generate the predicted ratio residual information. The predicted ratio residual information is compared with the formula ratio residual information to determine the degree of correction of the formula ratio residual by each group of candidate corrective control instructions, and residual correction information is generated. By mapping the boundary compliance status information, prediction execution status, prediction ratio residual information, and residual correction information, correction prediction information corresponding to each group of candidate correction control commands is generated.

[0014] As a preferred embodiment of the intelligent monitoring method for feeding PVC plastic tile raw material batching machine described in this invention, the specific steps for determining the target correction control command are as follows: Based on the boundary compliance status information and predicted execution status in the correction prediction information, the executable candidate correction control instruction that satisfies the feeding control boundary information is determined from multiple sets of candidate correction control instructions. Based on the predicted ratio residual information and residual correction information corresponding to the executable candidate corrective control instructions, the degree of formula ratio residual correction of each executable candidate corrective control instruction is compared, and the executable candidate corrective control instruction with the largest degree of formula ratio residual correction is determined as the target corrective control instruction.

[0015] As a preferred embodiment of the intelligent monitoring method for feeding PVC plastic tile raw material batching machine according to the present invention, the specific steps for generating feeding monitoring information are as follows: Based on the proportioning coordination correction relationship corresponding to the target correction control command, the target correction control command is allocated to the corresponding raw material feeding channel to form the coordination correction execution parameters, and then sent to the corresponding raw material feeding channel. Collect the process status information of the corresponding raw material feeding channel after the collaborative correction is performed and record the collection time. Based on the collaborative correction execution parameters and feeding control boundary information, the process status information is checked for correction execution and feeding monitoring information is generated.

[0016] The beneficial effects of this invention are as follows: It incorporates reliable feeding information, formula ratio residual information, target feeding benchmark information, and feeding control boundary information into the shadow feeding verification data, ensuring that the correction judgment is consistent with the current batch feeding status; it performs virtual execution verification on multiple sets of candidate correction control commands, determines the target correction command by predicting the feeding status and the degree of ratio residual correction, judges the feeding range and correction effectiveness before issuance, reduces the risk of feeding out of bounds and expansion of raw material composition deviation, enhances the stability of multi-channel collaborative correction, and ensures the consistency of raw material composition and the stability of feeding operation. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below. 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.

[0018] Figure 1 A flowchart for an intelligent monitoring method for feeding PVC plastic tile raw material batching machines.

[0019] Figure 2 A flowchart for target feeding baseline information.

[0020] Figure 3 A flowchart for information on proportioning and correction.

[0021] Figure 4 This is a flowchart of the shadow feeding verification process. Detailed Implementation

[0022] 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.

[0023] 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.

[0024] 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.

[0025] Reference Figures 1-4As one embodiment of the present invention, this embodiment provides an intelligent monitoring method for feeding PVC plastic tile raw material batching machines, comprising the following steps: S1: Obtain the formula control information of the current PVC plastic tile production batch, the initial feeding information of each raw material feeding channel, and the feeding control boundary information, and generate the target feeding benchmark information for each raw material feeding channel.

[0026] S1.1: Obtain the formula control information, initial feeding information of each raw material feeding channel, and feeding control boundary information of the current PVC plastic tile production batch, and determine the raw material category, target ratio relationship, and batch feeding task information of the current batch.

[0027] Read the formula control information of the current PVC plastic tile production batch, the initial feeding information of each raw material feeding channel, and the feeding control boundary information of each raw material feeding channel.

[0028] Formula control information includes the names of raw materials to be added in the current batch, the proportion requirements of each raw material name, and the planned total amount of material to be fed in the current batch; initial feeding information includes the raw material category currently associated with the raw material feeding channel, the channel start / stop status, the channel operation status, and the recorded feeding amount; feeding control boundary information includes the raw material category that the raw material feeding channel is allowed to feed, the allowable range of a single feeding, the allowable range of cumulative feeding, and the allowable conditions of the feeding operation status.

[0029] It should be noted that the lower and upper limits of a single feeding are determined based on the equipment specifications of the raw material feeding channel, the feeding process requirements of the corresponding raw material category, and the remaining feeding quantity of the current batch. The lower limit of a single feeding is the minimum feeding quantity allowed for a single feeding action, and the upper limit of a single feeding is the maximum feeding quantity allowed for a single feeding action.

[0030] Based on the planned total feed volume for the current batch, the target feed volume for the corresponding raw material category, the formula requirements for the current batch, and the feed records of historical qualified batches, determine the lower limit and upper limit of the cumulative feed volume within the allowable range. The lower limit of the cumulative feed volume is the minimum cumulative feed volume allowed to be completed for the corresponding raw material category in the current batch, and the upper limit of the cumulative feed volume is the maximum cumulative feed volume allowed to be completed for the corresponding raw material category in the current batch.

[0031] The allowable conditions for feeding operation status are determined based on the equipment start / stop status parameters and equipment operation status parameters of the raw material feeding channel. The channel start / stop allowable status is used to limit whether the channel start / stop status in the initial feeding information allows the raw material feeding channel to start feeding. The channel operation allowable status is used to limit whether the channel operation status in the initial feeding information allows the raw material feeding channel to perform feeding. When the channel start / stop status meets the channel start / stop allowable status and the channel operation status meets the channel operation allowable status, it is determined that the raw material feeding channel meets the allowable conditions for feeding operation status.

[0032] The raw material names in the formula control information are determined as the raw material categories for the current batch, and the corresponding proportioning requirements for each raw material category are read.

[0033] Based on the proportion of each raw material category in the total proportion requirements, the target feeding proportion of each raw material category in the current batch is obtained. The target proportion of each raw material category is then matched with its corresponding target feeding proportion to form the target proportion relationship for the current batch.

[0034] Based on the planned total feed amount and target ratio of the current batch, the planned total feed amount is allocated to each raw material category according to the target feed ratio corresponding to each raw material category, so as to obtain the target feed amount corresponding to each raw material category.

[0035] The batch feeding task information is generated by matching the raw material category, target ratio, planned total feeding amount, and target feeding amount for each raw material category in the current batch.

[0036] S1.2: According to the raw material category, the batch feeding task information is assigned to the corresponding raw material feeding channel, and the initial feeding status and the amount of feeding to be executed are determined in combination with the initial feeding information.

[0037] Based on the raw material category in the batch feeding task information, the raw material category is matched item by item with the raw material category currently associated with the raw material feeding channel in the initial feeding information.

[0038] When the raw material category currently associated with the raw material feeding channel is matched with the same raw material category in the batch feeding task information, the target feeding quantity, target feeding percentage and target ratio corresponding to the same raw material category in the batch feeding task information are allocated to the corresponding raw material feeding channel to form the channel feeding task information of the corresponding raw material feeding channel.

[0039] When the raw material category currently associated with the raw material feeding channel does not match the same raw material category in the batch feeding task information, batch feeding task information will not be assigned to the corresponding raw material feeding channel.

[0040] Based on the initial feeding information, the start / stop status, operation status and raw material category currently associated with the corresponding raw material feeding channel are matched to form the initial feeding status of the corresponding raw material feeding channel before the current batch begins feeding.

[0041] Based on the target feeding quantity in the channel feeding task information and the recorded feeding quantity in the initial feeding information, determine the feeding quantity to be executed for the corresponding raw material feeding channel.

[0042] When the recorded feed quantity is empty, the recorded feed quantity is set to zero, and the target feed quantity is set as the feed quantity to be executed. When the recorded feed quantity is less than the target feed quantity, the difference between the target feed quantity and the recorded feed quantity is set as the feed quantity to be executed. When the recorded feed quantity reaches or exceeds the target feed quantity, the feed quantity to be executed is set to zero. For raw material feed channels without assigned batch feed task information, the feed quantity to be executed is set to zero.

[0043] The channel feeding task information, initial feeding status, and pending feeding quantity are mapped to the same raw material feeding channel.

[0044] S1.3: Based on the feeding control boundary information, perform boundary comparison between the initial feeding state and the feeding quantity to be executed to obtain the target feeding state and feeding execution range in the current batch.

[0045] The comparison is based on the channel feeding task information, initial feeding status, initial feeding information, and the amount of material to be fed corresponding to the same raw material feeding channel.

[0046] The allowable raw material category, allowable conditions for feeding operation status, allowable range for single feeding, and allowable range for cumulative feeding are determined from the feeding control boundary information for the same raw material feeding channel.

[0047] When the raw material feeding channel is not assigned batch feeding task information, or the raw material category in the channel feeding task information does not belong to the raw material category that is allowed to be fed, the target feeding status is set to non-feeding status, the amount of feeding to be executed is set to zero, and the feeding execution range is set to not allow feeding.

[0048] When the raw material category in the channel feeding task information belongs to the category that is allowed to be fed, the channel start / stop status and channel operation status in the initial feeding state are compared with the allowable conditions of the feeding operation status respectively; when the channel start / stop status or channel operation status does not meet the allowable conditions of the feeding operation status, the target feeding status is determined as the non-feeding status, the amount of feed to be executed is determined as zero, and the feeding execution range is determined as the non-feeding status.

[0049] When both the channel start / stop status and the channel operation status meet the allowable conditions for feeding operation status, the recorded feeding quantity of the same raw material feeding channel is read from the initial feeding information. Based on the maximum allowable feeding quantity within the cumulative feeding allowable range and the recorded feeding quantity, the remaining cumulative allowable feeding quantity of the same raw material feeding channel in the current batch is determined.

[0050] When the recorded feeding amount reaches or exceeds the maximum allowable feeding amount within the cumulative feeding allowable range, the remaining cumulative allowable feeding amount is set to zero.

[0051] The quantity to be fed is compared with the remaining cumulative allowable quantity. When the quantity to be fed is zero, the quantity to be fed is lower than the minimum allowable quantity within the cumulative allowable quantity, or the remaining cumulative allowable quantity is zero, the target feeding state is set to non-feeding state, the quantity to be fed is set to zero, and the feeding execution range is set to not allow feeding.

[0052] When the amount of material to be fed does not exceed the remaining cumulative allowable amount of material, the target feeding status is set to the feeding status and the amount of material to be fed remains unchanged; when the amount of material to be fed is higher than the remaining cumulative allowable amount of material, the target feeding status is set to the feeding status and the amount of material to be fed is adjusted to the remaining cumulative allowable amount of material.

[0053] When the target feeding status is in the feeding execution status and the amount of material to be fed is greater than zero, the amount of material to be fed is compared with the allowable range for a single feeding.

[0054] When the amount of material to be fed is lower than the minimum allowable amount of material in a single feeding, the target feeding status is set to non-feeding status, the amount of material to be fed is set to zero, and the feeding execution range is set to not allow feeding.

[0055] When the amount of material to be fed is within the allowable range for a single feeding, the allowable range for a single feeding and the allowable range for cumulative feeding are determined as the feeding execution range.

[0056] When the amount of material to be fed exceeds the maximum allowable amount of material within the single feeding allowable range, the single feeding allowable range and the cumulative feeding allowable range are determined as the feeding execution range, and the corresponding raw material feeding channel is determined to perform feeding in batches according to the single feeding allowable range in subsequent feeding executions.

[0057] The target feeding status, the amount of material to be fed, and the feeding execution range are mapped to the same raw material feeding channel.

[0058] S1.4: According to the raw material feeding channel, collect the raw material category, target ratio relationship, batch feeding task information, target feeding status and feeding execution range, and generate the target feeding benchmark information for each raw material feeding channel.

[0059] Taking each raw material feeding channel as the collection object, the raw material category, target ratio relationship and batch feeding task information in the channel feeding task information are collected in correspondence with the target feeding status and feeding execution range to generate the target feeding benchmark information of the corresponding raw material feeding channel.

[0060] Raw material feeding channels without assigned batch feeding task information are aggregated to the target feeding baseline information, and the target feeding status is recorded as not performing feeding, and the feeding execution range is recorded as not allowing feeding.

[0061] S2: Control the start-up status of each raw material feeding channel according to the target feeding reference information, collect the process status information of each raw material feeding channel, and perform time sequence correlation and execution consistency verification to generate reliable feeding information.

[0062] S2.1: Control the start-up status of each raw material feeding channel according to the target feeding reference information, collect the process status information of each raw material feeding channel, and record the collection time identifier simultaneously.

[0063] Determine the feeding start status of each raw material feeding channel based on the target feeding status and feeding execution range.

[0064] When the target feeding status is not feeding, or the feeding execution range is not allowed to feed, the corresponding raw material feeding channel will not start feeding, and a collection time identifier will be generated according to the current batch unified monitoring and collection cycle. Under the corresponding collection time identifier, the channel start / stop status will be determined as not started, the channel operation status will be determined as not running, the single process feeding quantity and the cumulative process feeding quantity will be determined as zero, and the feeding abnormal status will be determined as not started and no abnormal status. The channel start / stop status, channel operation status, single process feeding quantity, cumulative process feeding quantity and feeding abnormal status will be recorded to the process status information.

[0065] When the target feeding status is feeding quantity, and the feeding execution range includes the allowable range of single feeding and the allowable range of cumulative feeding, the corresponding raw material feeding channel is started, the process status information is collected during the feeding execution process, and the collection time identifier is recorded synchronously.

[0066] The process status information includes channel start / stop status, channel operation status, single process feeding amount, cumulative process feeding amount, and feeding abnormal status; feeding abnormal status includes no start and no abnormal status, empty material status, material blockage status, and shutdown status.

[0067] When the target feeding status is the cumulative target feeding amount, the cumulative target feeding amount is fed in multiple batches according to the allowable range of a single feeding, and the feeding amount of each single process is accumulated according to the collection time to form the cumulative process feeding amount.

[0068] When the cumulative process feeding amount reaches the cumulative target feeding amount, or reaches the maximum allowable feeding amount within the cumulative feeding range, the feeding execution of the corresponding raw material feeding channel will be stopped.

[0069] S2.2: Based on the time stamp of the data collection, the process status information is arranged in time sequence, and the time correspondence between different raw material feeding channels is established to obtain the time-series associated process status information.

[0070] Taking the raw material feeding channel as the object, the process status information corresponding to the same raw material feeding channel is arranged in the order of the collection time identifier to form a sequence of process status information for the corresponding raw material feeding channel.

[0071] Based on the process status information sequence corresponding to each raw material feeding channel, the time interval between adjacent acquisition time markers is determined and used as the allowable time synchronization interval.

[0072] Using the acquisition time identifier as the corresponding object, process status information with the same acquisition time identifier is grouped into the same time correspondence; when the acquisition time identifiers are inconsistent, process status information with a time interval that does not exceed the time synchronization allowable interval and has the smallest time interval is grouped into the same time correspondence. When the time intervals of two or more process status information are the same, the process status information with the earlier collection time will be assigned to the same time correspondence, and process status information that has already been assigned to other time correspondences will not be assigned again.

[0073] The process status information that is associated with the same time is collected according to the collection time identifier to obtain the time-series associated process status information.

[0074] The process status information after time-series association includes the start / stop status of each raw material feeding channel, the channel operation status, the single process feeding amount, the cumulative process feeding amount, and the feeding abnormal status under the corresponding relationship at the same time.

[0075] S2.3: Perform an execution consistency check between the time-series associated process status information and the target feeding baseline information to generate reliable feeding information.

[0076] Using the raw material feeding channel as the verification object, the target feeding status and feeding execution range of the corresponding raw material feeding channel are obtained from the target feeding benchmark information. The channel start / stop status, channel operation status, single process feeding amount, cumulative process feeding amount and feeding abnormal status of the same raw material feeding channel under the corresponding relationship at the same time are obtained from the process status information after time-series association.

[0077] When the target feeding status is not feeding, or the feeding execution range is not allowed to feed, the single process feeding quantity and the cumulative process feeding quantity are compared with the zero value respectively.

[0078] When both the single-process feed quantity and the cumulative process feed quantity are zero, and no empty material state, blockage state, or shutdown state is recorded in the abnormal feeding status, the process status information under the corresponding time correspondence is determined to be consistent in execution; when the single-process feed quantity is not zero, the cumulative process feed quantity is not zero, or the empty material state, blockage state, or shutdown state is recorded in the abnormal feeding status, the process status information under the corresponding time correspondence is determined to be inconsistent in execution.

[0079] When the target feeding status is feeding quantity or cumulative target feeding quantity, and the feeding execution range includes the single feeding allowable range and the cumulative feeding allowable range, the single process feeding quantity is compared with the single feeding allowable range, and the cumulative process feeding quantity is compared with the cumulative feeding allowable range.

[0080] When the single-process feeding amount is within the single-process feeding allowable range, the cumulative process feeding amount is within the cumulative feeding allowable range, and the abnormal feeding status does not record the empty material status, the blocked material status, or the shutdown status, the process status information under the corresponding time correspondence will be determined as consistent with the execution.

[0081] When the amount of material fed in a single process exceeds the allowable range for a single feeding, the cumulative amount of material fed in a cumulative process exceeds the allowable range for a cumulative feeding, or when the abnormal feeding status records show an empty material status, a blocked material status, or a shutdown status, the process status information under the corresponding time correspondence will be determined as an execution inconsistency.

[0082] Consistent process status information is identified as reliable process status information, while inconsistent process status information is recorded as abnormal process status information. The raw material feeding channel, collection time identifier, time correspondence, and verification content corresponding to the inconsistency are also recorded for the abnormal process status information. Abnormal process status information is not included in the feeding quantity collection in reliable feeding information.

[0083] Based on the raw material feeding channel, raw material category, collection time identifier, and time correspondence, the single process feeding quantity, cumulative process feeding quantity, channel start / stop status, channel operation status, and feeding abnormal status in the reliable process status information are collected to generate reliable feeding information.

[0084] S3: Based on reliable feeding information and target feeding baseline information, determine the actual feeding composition information and target feeding composition information of the current batch, perform proportion difference analysis, and generate formula proportion residual information.

[0085] S3.1: Based on the raw material category, divide the reliable feeding information into feeding composition categories to obtain the actual feeding composition information of the current batch, and divide the target feeding reference information into feeding composition categories to obtain the target feeding composition information of the current batch.

[0086] Based on the raw material category, the reliable feeding information is divided into feeding components according to the raw material feeding channel, raw material category, collection time identifier, time correspondence and single process feeding quantity in the reliable feeding information.

[0087] The single-process feeding volume of each raw material feeding channel under the same raw material category is collected according to the collection time identifier and time correspondence to obtain the actual feeding volume of each raw material category in the current batch.

[0088] When the same raw material category corresponds to multiple raw material feeding channels, the single process feeding amount corresponding to the multiple raw material feeding channels is classified into the actual feeding amount under the same raw material category.

[0089] Based on the actual feeding quantity corresponding to each raw material category, the actual feeding quantity of the current batch is obtained, and the actual feeding percentage corresponding to each raw material category is determined; when the actual feeding quantity of the current batch is zero, the actual feeding percentage corresponding to each raw material category is determined to be zero.

[0090] By matching the raw material category, actual feed quantity, and actual feed percentage of the current batch, the actual feed composition information of the current batch can be obtained.

[0091] Based on the raw material category, the target feeding baseline information is divided into feeding composition categories according to the raw material feeding channel, raw material category, target ratio relationship, batch feeding task information, and target feeding status obtained after boundary comparison in the target feeding baseline information.

[0092] The target feeding status of each raw material feeding channel under the same raw material category is collected to obtain the target feeding quantity of each raw material category in the current batch; when the target feeding status is no feeding, the target feeding quantity of the corresponding raw material feeding channel under the corresponding raw material category is determined to be zero.

[0093] Based on the target feeding quantity corresponding to each raw material category, the target feeding quantity for the current batch is obtained, and the target feeding percentage corresponding to each raw material category is determined; when the target feeding quantity for the current batch is zero, the target feeding percentage corresponding to each raw material category is determined to be zero.

[0094] By matching the raw material category, target feed quantity, target feed percentage, and target proportion of the current batch, the target feed composition information for the current batch can be obtained.

[0095] S3.2: Based on the actual and target feed composition information, determine the actual and target feed proportions for each raw material category, compare the differences between the actual and target feed proportions for the same raw material category, obtain the proportion deviation value and deviation direction, and generate formula ratio residual information.

[0096] Using raw material categories as the corresponding objects, the raw material categories in the actual feeding composition information are matched with the raw material categories in the target feeding composition information to obtain the actual feeding percentage and the target feeding percentage under the same raw material category.

[0097] Using the target feeding percentage within the same raw material category as the comparison benchmark, the difference between the actual feeding percentage and the target feeding percentage is taken as the percentage deviation value for the corresponding raw material category. When the actual feeding percentage and the target feeding percentage are the same, the percentage deviation value for the corresponding raw material category is zero.

[0098] The deviation direction for the corresponding raw material category is determined based on whether the actual feeding ratio is higher, lower, or the same as the target feeding ratio.

[0099] When the actual feeding percentage exceeds the target feeding percentage, the deviation direction is recorded as "above the target feeding percentage"; when the actual feeding percentage does not reach the target feeding percentage, the deviation direction is recorded as "below the target feeding percentage"; when the actual feeding percentage meets the target feeding percentage, the deviation direction is recorded as "consistent".

[0100] The actual feeding ratio, target feeding ratio, ratio deviation value and deviation direction of each raw material category are collected to generate formula ratio residual information.

[0101] S4: By using the formula ratio residual information and target feeding reference information, determine the ratio coordination correction relationship of each raw material feeding channel in the remaining feeding process, and generate multiple sets of candidate correction control commands.

[0102] S4.1: Determine the remaining feed amount for each raw material category during the remaining feed process based on the target feed baseline information.

[0103] Obtain the raw material category, target feeding status, feeding execution range, and target proportion relationship corresponding to each raw material feeding channel from the target feeding baseline information.

[0104] Using raw material category as the corresponding object, the target feeding status of each raw material feeding channel under the same raw material category is collected to obtain the target feeding quantity of each raw material category in the current batch.

[0105] Based on the raw material categories and actual feeding quantities recorded in the actual feeding composition information, determine the actual feeding quantities of each raw material category in the current batch.

[0106] The target feeding quantity under the same raw material category is matched with the actual feeding quantity in the actual feeding composition information. When the actual feeding quantity is less than the target feeding quantity, the difference between the two is determined as the remaining feeding quantity.

[0107] When the actual feeding amount that has been completed reaches or exceeds the target feeding amount, the remaining feeding amount for the corresponding raw material category is set to zero.

[0108] The remaining material quantity is determined by matching each raw material category with its corresponding raw material feeding channel, remaining material quantity, and feeding execution range.

[0109] S4.2: Based on the percentage deviation value and deviation direction in the formula ratio residual information, classify the correction objects for each raw material category, determine the raw material category whose actual feeding percentage is higher than the target feeding percentage as the feeding restriction object, and determine the raw material category whose actual feeding percentage is lower than the target feeding percentage as the feeding compensation object.

[0110] Using raw material category as an index, the remaining feeding quantity, raw material feeding channel, and feeding execution range corresponding to each raw material category are correlated with the proportion deviation value and deviation direction in the formula ratio residual information.

[0111] The raw material categories are classified according to the direction of deviation and the percentage deviation value. The raw material categories with a deviation direction higher than the target feeding percentage and a percentage deviation value that is not zero are identified as feeding restriction objects.

[0112] Raw material categories whose deviation direction is recorded as being lower than the target feeding percentage and whose percentage deviation value is not zero are identified as feeding compensation targets; raw material categories whose deviation direction is recorded as being consistent or whose percentage deviation value is zero are not identified as feeding restriction targets or feeding compensation targets.

[0113] The raw material category, percentage deviation value, remaining feeding quantity, raw material feeding channel, and feeding execution range corresponding to the feeding restriction object are collected to form feeding restriction object information.

[0114] The information on the material feeding compensation objects is compiled by collecting the raw material category, percentage deviation value, remaining feeding quantity, raw material feeding channel and feeding execution scope corresponding to the feeding compensation objects.

[0115] S4.3: Using the remaining feeding quantity and feeding execution range as constraints, group matching is performed based on the proportional deviation values ​​corresponding to the feeding restriction object and the feeding compensation object to form a ratio coordination correction relationship. The remaining feeding quantity is then coordinated and adjusted according to the ratio coordination correction relationship to generate multiple sets of candidate correction control instructions.

[0116] Select the feeding restriction object with the largest percentage deviation value from the feeding restriction object information, and select the feeding compensation object with the largest percentage deviation value from the feeding compensation object information, and establish a group matching relationship within the same remaining feeding process.

[0117] In the same grouped matching relationship, based on the ratio deviation value of the feeding restriction object and the feeding compensation object, and combined with the remaining feeding amount of the corresponding raw material category, the adjustment feeding amount of the remaining feeding process is formed. The adjustment amount on the restriction side is obtained with the remaining feeding amount of the feeding restriction object as the upper limit.

[0118] The remaining feeding quantity and feeding execution range of the feeding compensation object are used as constraints to form the allowable increase in feeding quantity of the feeding compensation object during the remaining feeding process. The adjustment amount on the compensation side is obtained with the allowable increase in feeding quantity as the upper limit.

[0119] The adjustment of feeding amount, the adjustment amount on the limiting side, the adjustment amount on the compensating side, the raw material feeding channel corresponding to the feeding limiting object, and the raw material feeding channel corresponding to the feeding compensation object are matched to form a ratio coordination correction relationship.

[0120] The proportioning coordination correction relationship record records the correspondence between the limiting side adjustment and the compensation side adjustment within the same remaining feeding process, as well as the coordination execution relationship between the corresponding raw material feeding channels.

[0121] Based on the ratio and collaborative correction relationship, the feeding restriction objects and feeding compensation objects in the same group matching relationship are adjusted synchronously.

[0122] For objects subject to feeding restrictions, the remaining feeding content in the feeding process is reduced by the adjustment amount on the restriction side; for objects subject to feeding compensation, the remaining feeding content in the feeding process is increased by the adjustment amount on the compensation side, and the remaining feeding amount corresponding to the objects subject to feeding restrictions and objects subject to feeding compensation is updated within the target feeding total amount of the current batch to obtain the adjusted remaining feeding amount.

[0123] When there is still an adjustable remaining feed amount for the feeding restriction object and a remaining feed amount that needs to be compensated for for the feeding compensation object, continue to select the raw material category with the largest percentage deviation value from the feeding restriction object and the feeding compensation object that have not yet completed group matching, establish a new group matching relationship, and determine a new ratio synergistic correction relationship.

[0124] Each set of proportioning coordination correction relationships, adjusted feed amount, adjusted remaining feed amount, limiting side adjustment amount, compensation side adjustment amount, and corresponding raw material feeding channel are combined to generate a set of candidate correction control instructions; after completing the processing of all group matching relationships, multiple sets of candidate correction control instructions are generated.

[0125] S5: Based on reliable feeding information, formula ratio residual information, target feeding benchmark information and feeding control boundary information, construct a shadow feeding verification process that is synchronized with the current feeding status, and perform virtual execution verification on multiple sets of candidate correction control commands to generate corresponding correction prediction information.

[0126] S5.1: Determine the completed feeding information based on reliable feeding information, and match the completed feeding information with the remaining feeding quantity according to the raw material category to form shadow feeding verification data corresponding to the current feeding status.

[0127] Based on the raw material category, raw material feeding channel, time correspondence, single process feeding quantity, and cumulative process feeding quantity in the reliable feeding information, determine the completed feeding information of the current batch according to the raw material category.

[0128] The completed feeding information and remaining feeding quantity under the same raw material category are matched. The raw material category, raw material feeding channel, completed feeding information, remaining feeding quantity and feeding execution range are grouped into the same verification record to form shadow feeding verification data corresponding to the current feeding status.

[0129] The shadow feeding verification data records the feeding content that has been completed and the adjustable feeding content in the remaining feeding process under the current feeding status, without changing the actual execution status of each raw material feeding channel.

[0130] S5.2: Write the percentage deviation value and deviation direction in the formula ratio residual information into the shadow feeding verification data to generate the feeding quantity to be restricted for the feeding restriction object and the feeding quantity to be compensated for the feeding compensation object.

[0131] According to the raw material category, the percentage deviation value and deviation direction in the formula ratio residual information are written into the shadow feeding verification data.

[0132] For objects subject to feeding restrictions, the remaining feeding quantity of the corresponding raw material category is determined as the feeding quantity to be restricted, and the percentage deviation value and deviation direction are mapped to the feeding quantity to be restricted.

[0133] For the material feeding compensation object, the remaining material feeding amount of the corresponding raw material category is determined as the material feeding amount to be compensated, and the percentage deviation value and deviation direction are mapped to the material feeding amount to be compensated.

[0134] For raw material categories that are not identified as subject to feeding restrictions or feeding compensation, the remaining feeding quantity for the corresponding raw material category is retained, and no feeding quantity to be restricted or compensated is generated.

[0135] S5.3: Substitute multiple sets of candidate correction control commands into the shadow feeding verification data one by one, and make virtual adjustments to the feed quantity to be restricted and the feed quantity to be compensated according to the ratio coordination correction relationship, update the remaining feed quantity, and obtain the predicted feed composition information corresponding to each set of candidate correction control commands.

[0136] Using the shadow feeding verification data corresponding to the current feeding status as a common verification benchmark, multiple sets of candidate correction control commands are substituted into the shadow feeding verification data one by one.

[0137] When each group of candidate correction control instructions is substituted, the same completed feeding information and the same remaining feeding amount are used as the virtual execution starting point.

[0138] For each group of candidate correction control instructions, the amount of feed to be restricted and the amount of feed to be compensated are processed according to the corresponding ratio and collaborative correction relationship.

[0139] For the restricted feeding amount, deduct it according to the adjustment amount on the restricted side to obtain the remaining feeding amount after virtual reduction; for the compensated feeding amount, increase it according to the adjustment amount on the compensated side to obtain the remaining feeding amount after virtual increase.

[0140] The virtual adjustment only updates the remaining feed amount in the shadow feed verification data and does not issue candidate correction control commands to the raw material feed channel.

[0141] After each set of candidate corrective control instructions completes virtual adjustment, the completed feeding information and the updated remaining feeding amount are collected according to the raw material category to obtain the predicted feeding composition information of the corresponding candidate corrective control instruction.

[0142] The predicted feed composition information includes the predicted feed quantity and predicted feed percentage for each raw material category. Each group of candidate corrective control instructions generates corresponding predicted feed composition information, and all predicted feed composition information originates from the shadow feed verification data corresponding to the same current feed state.

[0143] S5.4: Verify the predicted feeding composition information with the feeding control boundary information to form a shadow feeding verification process that is synchronized with the current feeding status.

[0144] The predicted feeding composition information corresponding to each group of candidate correction control commands is verified against the single feeding allowable range and cumulative feeding allowable range in the feeding control boundary information.

[0145] During the corresponding verification process, the limiting side adjustment and compensation side adjustment in the candidate correction control command are used as the single virtual adjustment amount of the corresponding raw material feeding channel.

[0146] When the predicted feeding amount in the predicted feeding composition information is within the cumulative feeding allowable range, and the single virtual adjustment amount corresponding to the candidate correction control command is within the single feeding allowable range, the corresponding verification record will be recorded as the boundary allowable state.

[0147] When the predicted feeding amount in the predicted feeding composition information exceeds the cumulative feeding allowable range, or the single virtual adjustment amount corresponding to the candidate correction control command exceeds the single feeding allowable range, the corresponding verification record will be recorded as boundary exceedance status.

[0148] The candidate correction control command, predicted feeding composition information, boundary allowable state and boundary exceedance state are mapped to form a shadow feeding verification process that is synchronized with the current feeding state.

[0149] S5.5: Based on the predicted feeding composition information and feeding control boundary information of each group of candidate correction control commands, perform boundary verification on each group of candidate correction control commands to form boundary compliance status information and predicted execution status.

[0150] Based on the boundary allowable state and boundary exceedance state during the shadow feeding verification process, boundary verification is performed on each group of candidate correction control commands.

[0151] When all the predicted feeding composition information corresponding to the candidate correction control command is within the feeding control boundary information, boundary compliance status information is formed, and the predicted execution status is determined to be executable.

[0152] When the predicted feeding quantity in the predicted feeding component information corresponding to the candidate correction control instruction exceeds the cumulative feeding allowable range, or the single virtual adjustment quantity exceeds the single feeding allowable range, boundary non-compliance status information is generated, and the prediction execution status is determined to be unexecutable.

[0153] S5.6: Based on the predicted feeding composition information and the target feeding baseline information, determine the predicted feeding ratio corresponding to each group of candidate correction control commands, compare it with the target feeding ratio, and generate the predicted ratio residual information.

[0154] Based on the predicted feeding quantity in the predicted feeding composition information, determine the total predicted feeding quantity and the predicted feeding percentage corresponding to each group of candidate corrective control instructions according to the raw material category.

[0155] The target feeding ratio corresponding to the same raw material category is determined from the target feeding baseline information. The predicted feeding ratio is compared with the target feeding ratio to obtain the predicted ratio deviation value and predicted deviation direction corresponding to each group of candidate correction control commands.

[0156] The raw material category, predicted feeding ratio, target feeding ratio, predicted ratio deviation value, and predicted deviation direction corresponding to each group of candidate corrective control instructions are collected to generate predicted ratio residual information.

[0157] S5.7: Compare the predicted ratio residual information with the formula ratio residual information to determine the degree of correction of the formula ratio residual by each group of candidate corrective control instructions, and generate residual correction information.

[0158] Using raw material categories as the corresponding objects, the predicted proportion deviation value and predicted deviation direction in the predicted proportion residual information are compared with the proportion deviation value and deviation direction in the formula proportion residual information.

[0159] When the predicted percentage deviation is less than the percentage deviation and the predicted deviation direction is consistent, or the predicted deviation direction is the same as the deviation direction but the predicted percentage deviation decreases, the corresponding candidate correction control command will be recorded as a valid correction.

[0160] When the predicted percentage deviation is not less than the percentage deviation value, or when the predicted deviation direction is opposite to the deviation direction and the predicted percentage deviation value does not decrease, the corresponding candidate correction control command will be recorded as an invalid correction.

[0161] The records of effective or ineffective corrections, the reduction in the predicted percentage deviation, and the change in the predicted deviation direction corresponding to each group of candidate correction control commands are collected to generate residual correction information.

[0162] S5.8: Match the boundary compliance status information, prediction execution status, prediction ratio residual information, and residual correction information to generate correction prediction information corresponding to each group of candidate correction control commands.

[0163] Using candidate correction control commands as the corresponding objects, boundary compliance status information, prediction execution status, prediction ratio residual information, and residual correction information are collected accordingly.

[0164] After all candidate correction control commands have been collected, correction prediction information corresponding to each group of candidate correction control commands is generated.

[0165] S6: Based on the correction prediction information and the feeding control boundary information, determine the target correction control command and send it to the corresponding raw material feeding channel to perform collaborative correction and generate feeding monitoring information.

[0166] S6.1: Based on the boundary compliance status information and predicted execution status in the correction prediction information, determine the executable candidate correction control instruction that satisfies the feeding control boundary information from multiple sets of candidate correction control instructions.

[0167] Taking candidate correction control instructions as the object, the corresponding boundary compliance status information and prediction execution status are extracted from the correction prediction information.

[0168] Record the boundary compliance status information as conforming to the feeding control boundary information and the predicted execution status as an executable candidate correction control instruction, and determine it as an executable candidate correction control instruction.

[0169] Record the boundary compliance status information as non-compliance with the feeding control boundary information, or record the predicted execution status as an unexecutable candidate correction control instruction, and exclude the executable candidate correction control instructions.

[0170] The executable candidate corrective control commands are mapped to the corresponding predicted ratio residual information and residual correction information.

[0171] S6.2: Based on the predicted ratio residual information and residual correction information corresponding to the executable candidate corrective control instructions, compare the degree of formula ratio residual correction of each executable candidate corrective control instruction, and determine the executable candidate corrective control instruction with the largest degree of formula ratio residual correction as the target corrective control instruction.

[0172] Read the residual correction information corresponding to each executable candidate correction control command, and extract the effective correction record, invalid correction record, reduction in the predicted percentage deviation value, and change in the predicted deviation direction record.

[0173] When a valid correction record is recorded in the residual correction information, the corresponding executable candidate correction control instruction is selected as an executable candidate correction control instruction for ranking. When an invalid correction record is recorded in the residual correction information, the corresponding executable candidate correction control instruction is excluded from the determination process of the target correction control instruction.

[0174] For the executable candidate corrective control commands participating in the sorting, they are sorted from largest to smallest according to the amount of reduction in the predicted percentage deviation value; when the amount of reduction in the predicted percentage deviation value is the same, the number of raw material categories with the same predicted deviation direction record is counted according to the predicted deviation direction change record, and sorted from largest to smallest according to the number of raw material categories with the same predicted deviation direction record.

[0175] The executable candidate corrective control instruction ranked first is determined as the executable candidate corrective control instruction with the greatest degree of correction of the formula ratio residual, and is determined as the target corrective control instruction.

[0176] When two or more executable candidate corrective control instructions have the same ranking result, the predicted proportion deviation values ​​corresponding to each raw material category under the same executable candidate corrective control instruction are summed according to the predicted proportion residual information to obtain the total predicted proportion deviation value, and the executable candidate corrective control instruction with the smallest total predicted proportion deviation value is determined as the target corrective control instruction.

[0177] When there is no executable candidate correction control instruction that is recorded as a valid correction record, correction non-executable information is generated and written into the feeding monitoring information.

[0178] When a correction failure information is generated, no candidate correction control command is issued. Instead, the correction failure information, the boundary compliance status information corresponding to each candidate correction control command, the predicted execution status, the valid or invalid correction records in the residual correction information, and the corresponding feeding control boundary information are written into the feeding monitoring information.

[0179] S6.3: Based on the proportioning coordination correction relationship corresponding to the target correction control command, the target correction control command is allocated to the corresponding raw material feeding channel to form the coordination correction execution parameters, and then sent to the corresponding raw material feeding channel.

[0180] Extract the corresponding proportioning and coordination correction relationship, the adjusted remaining feed amount, the limit side adjustment amount, the compensation side adjustment amount, and the corresponding raw material feeding channel from the target correction control command.

[0181] Based on the ratio and collaborative correction relationship, the adjustment amount on the limiting side is mapped to the raw material feeding channel of the feeding limiting object, and the adjustment amount on the compensation side is mapped to the raw material feeding channel of the feeding compensation object, forming the collaborative correction execution parameters for the corresponding raw material feeding channel, and then being sent to the corresponding raw material feeding channel.

[0182] The parameters for collaborative correction include the raw material feeding channel and the adjustment amount on the limiting side corresponding to the feeding restriction object, the adjustment amount on the compensation side corresponding to the raw material feeding channel and the compensation side corresponding to the feeding compensation object, the remaining feeding amount after adjustment, and the feeding execution range.

[0183] S6.4: Collect the process status information after the corresponding raw material feeding channel performs collaborative correction and record the collection time identifier. Based on the collaborative correction execution parameters and feeding control boundary information, perform correction execution verification on the process status information and generate feeding monitoring information.

[0184] Using the corresponding raw material feeding channel in the collaborative correction execution parameters as the verification object, the process status information of the corresponding raw material feeding channel is collected, and the collection time identifier is recorded synchronously.

[0185] For the raw material feeding channels corresponding to the feeding restriction objects and the feeding compensation objects, the channel start-stop status, channel operation status, single process feeding amount, cumulative process feeding amount and feeding abnormal status are checked according to the feeding operation status allowable conditions in the feeding control boundary information, the limit side adjustment amount or compensation side adjustment amount in the collaborative correction execution parameters, the adjusted remaining feeding amount, and the feeding control boundary information.

[0186] When the start / stop status, operation status, single-process feeding amount, cumulative process feeding amount, and abnormal feeding status of the raw material feeding channel corresponding to the feeding restriction object and the feeding compensation object all meet the corresponding verification content, the execution status of the restriction side and the execution status of the compensation side are recorded as normal, and the execution status of the correction is recorded as normal execution; when any verification content does not meet the requirements, the corresponding execution status of the restriction side or the execution status of the compensation side is recorded as abnormal, and the execution status of the correction is recorded as abnormal execution. The raw material feeding channel, the collection time identifier, the time correspondence, and the verification content that does not meet the requirements are recorded. Based on the abnormal process status information recorded in relation to the raw material feeding channel, the collection time identifier, and the time correspondence, as well as the non-compliant verification content recorded in the corrective execution verification, the abnormal feeding status, the corresponding raw material feeding channel, the collection time identifier, the time correspondence, and the non-compliant verification content are extracted to form an abnormal feeding record. The target correction control command, collaborative correction execution parameters, limit side execution status, compensation side execution status, correction execution status, process status information, collection time identifier, and abnormal feeding records are collected and correspondingly aggregated to generate feeding monitoring information. The feeding monitoring information is then correlated with the current production batch for traceability of the feeding process of the current production batch and serves as the basis for adjusting the feeding control parameters of subsequent batches.

[0187] In summary, this invention incorporates reliable feeding information, formula ratio residual information, target feeding benchmark information, and feeding control boundary information into the shadow feeding verification data, ensuring that the correction judgment is consistent with the current batch feeding status; it performs virtual execution verification on multiple sets of candidate correction control commands, determines the target correction command by predicting the feeding status and the degree of ratio residual correction, and judges the feeding range and correction effectiveness before issuing the command, thereby reducing the risk of feeding out of bounds and expanding raw material composition deviation, enhancing the stability of multi-channel collaborative correction, and ensuring the consistency of raw material composition and the stability of feeding operation.

[0188] 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 intelligent monitoring of feeding in a PVC plastic tile raw material batching machine, characterized in that, include: Obtain the formula control information, initial feeding information and feeding control boundary information of each raw material feeding channel of the current PVC plastic tile production batch, and generate the target feeding benchmark information for each raw material feeding channel. The starting status of each raw material feeding channel is controlled according to the target feeding reference information. The process status information of each raw material feeding channel is collected, and the timing association and execution consistency verification are performed to generate reliable feeding information. Based on reliable feeding information and target feeding baseline information, the actual feeding composition information and target feeding composition information of the current batch are determined, and the ratio difference analysis is performed to generate formula ratio residual information. By using the formula ratio residual information and the target feeding benchmark information, the ratio coordination correction relationship of each raw material feeding channel in the remaining feeding process is determined, and multiple sets of candidate correction control commands are generated. Based on reliable feeding information, formula ratio residual information, target feeding reference information and feeding control boundary information, a shadow feeding verification process synchronized with the current feeding status is constructed, and multiple sets of candidate correction control commands are virtually executed and verified to generate corresponding correction prediction information. Based on the correction prediction information and the feeding control boundary information, the target correction control command is determined and issued to the corresponding raw material feeding channel to perform collaborative correction and generate feeding monitoring information.

2. The intelligent monitoring method for feeding PVC plastic tile raw material batching machine as described in claim 1, characterized in that, The specific steps for generating the target feeding reference information for each raw material feeding channel are as follows: Obtain the formula control information, initial feeding information of each raw material feeding channel, and feeding control boundary information of the current PVC plastic tile production batch, and determine the raw material category, target ratio relationship, and batch feeding task information of the current batch. According to the raw material category, the batch feeding task information is assigned to the corresponding raw material feeding channel, and the initial feeding status and the amount of feeding to be executed are determined in combination with the initial feeding information; Based on the feeding control boundary information, the initial feeding state and the amount of feeding to be executed are compared to obtain the target feeding state and feeding execution range in the current batch. According to the raw material feeding channel, the raw material category, target ratio relationship, batch feeding task information, target feeding status and feeding execution range are collected to generate target feeding benchmark information for each raw material feeding channel.

3. The intelligent monitoring method for feeding PVC plastic tile raw material batching machine as described in claim 1, characterized in that, The specific steps for generating reliable material feeding information are as follows: The starting status of each raw material feeding channel is controlled according to the target feeding reference information, the process status information of each raw material feeding channel is collected, and the collection time marker is recorded synchronously. Based on the time stamp of the data collection, the process status information is arranged in time sequence, and the time correspondence between different raw material feeding channels is established to obtain the time-series associated process status information. The process status information associated with the time sequence is checked for consistency with the target feeding reference information to generate reliable feeding information.

4. The intelligent monitoring method for feeding PVC plastic tile raw material batching machine as described in claim 1, characterized in that, The specific steps for generating the formula ratio residual information are as follows: Based on the category of raw materials, the reliable feeding information is divided into feeding composition to obtain the actual feeding composition information of the current batch. The target feeding reference information is also divided into feeding composition to obtain the target feeding composition information of the current batch. Based on the actual and target feed composition information, the actual and target feed proportions for each raw material category are determined. The actual and target feed proportions for the same raw material category are compared to obtain the proportion deviation value and deviation direction, and formula ratio residual information is generated.

5. The intelligent monitoring method for feeding PVC plastic tile raw material batching machine as described in claim 4, characterized in that, The aforementioned obtaining the percentage deviation value and deviation direction refers to using the target feeding percentage under the same raw material category as a comparison benchmark, determining the percentage difference between the actual feeding percentage and the target feeding percentage, obtaining the percentage deviation value for the corresponding raw material category, and determining the deviation direction for the corresponding raw material category based on whether the actual feeding percentage is higher, lower, or the same as the target feeding percentage.

6. The intelligent monitoring method for feeding PVC plastic tile raw material batching machine as described in claim 1, characterized in that, The specific steps for generating multiple sets of candidate correction control commands are as follows: Determine the remaining feed amount for each raw material category during the remaining feed process based on the target feed baseline information; Based on the percentage deviation value and deviation direction in the formula ratio residual information, the correction objects for each raw material category are divided. The raw material category whose actual feeding percentage is higher than the target feeding percentage is identified as the feeding restriction object, and the raw material category whose actual feeding percentage is lower than the target feeding percentage is identified as the feeding compensation object. With the remaining feeding amount and feeding execution range as constraints, group matching is performed based on the proportional deviation values ​​corresponding to the feeding restriction object and the feeding compensation object to form a ratio coordination correction relationship. The remaining feeding amount is then coordinated and adjusted according to the ratio coordination correction relationship to generate multiple sets of candidate correction control instructions.

7. The intelligent monitoring method for feeding PVC plastic tile raw material batching machine as described in claim 6, characterized in that, The specific steps of constructing the shadow feeding verification process synchronized with the current feeding status are as follows: Based on reliable feeding information, the completed feeding information is determined, and the completed feeding information and the remaining feeding amount are matched according to the raw material category to form shadow feeding verification data corresponding to the current feeding status; Write the percentage deviation value and deviation direction in the formula ratio residual information into the shadow feeding verification data to generate the feeding quantity to be restricted for the feeding restriction object and the feeding quantity to be compensated for the feeding compensation object. Substitute multiple sets of candidate correction control commands into the shadow feeding verification data one by one, and make virtual adjustments to the feed quantity to be restricted and the feed quantity to be compensated according to the ratio coordination correction relationship, update the remaining feed quantity, and obtain the predicted feed composition information corresponding to each set of candidate correction control commands. The predicted feeding composition information is verified against the feeding control boundary information to form a shadow feeding verification process that is synchronized with the current feeding status.

8. The intelligent monitoring method for feeding PVC plastic tile raw material batching machine as described in claim 1, characterized in that, The specific steps for generating the corresponding correction prediction information are as follows: Based on the predicted feeding composition information and feeding control boundary information of each group of candidate correction control commands, boundary verification is performed on each group of candidate correction control commands to form boundary compliance status information and predicted execution status. Based on the predicted feeding composition information and the target feeding benchmark information, the predicted feeding ratio corresponding to each group of candidate correction control commands is determined, and compared with the target feeding ratio to generate the predicted ratio residual information. The predicted ratio residual information is compared with the formula ratio residual information to determine the degree of correction of the formula ratio residual by each group of candidate corrective control instructions, and residual correction information is generated. By mapping the boundary compliance status information, prediction execution status, prediction ratio residual information, and residual correction information, correction prediction information corresponding to each group of candidate correction control commands is generated.

9. The intelligent monitoring method for feeding PVC plastic tile raw material batching machine as described in claim 1, characterized in that, The specific steps for determining the target correction control command are as follows: Based on the boundary compliance status information and predicted execution status in the correction prediction information, the executable candidate correction control instruction that satisfies the feeding control boundary information is determined from multiple sets of candidate correction control instructions. Based on the predicted ratio residual information and residual correction information corresponding to the executable candidate corrective control instructions, the degree of formula ratio residual correction of each executable candidate corrective control instruction is compared, and the executable candidate corrective control instruction with the largest degree of formula ratio residual correction is determined as the target corrective control instruction.

10. The intelligent monitoring method for feeding PVC plastic tile raw material batching machine as described in claim 1, characterized in that, The specific steps for generating the material feeding monitoring information are as follows: Based on the proportioning coordination correction relationship corresponding to the target correction control command, the target correction control command is allocated to the corresponding raw material feeding channel to form the coordination correction execution parameters, and then sent to the corresponding raw material feeding channel. Collect the process status information of the corresponding raw material feeding channel after the collaborative correction is performed and record the collection time. Based on the collaborative correction execution parameters and feeding control boundary information, the process status information is checked for correction execution and feeding monitoring information is generated.

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