Wood production and processing progress information management system based on cloud platform

Abstract

The present invention belongs to the technical field of wood processing progress management, and specifically discloses a wood production and processing progress information management system based on a cloud platform, which obtains the reference waste amount and reference processing speed of each processing process by analyzing the historical reference order based on the current wood order information, and then monitors the actual performance of the current order in each processing process throughout the whole process, records the actual waste amount and processing speed, and compares the actual data with the reference value, thereby identifying the process in which the waste amount increases abnormally due to the excessive processing speed, and on this basis, the processing progress is predicted in advance, and the processing speed of the relevant process is reduced and adjusted when the predicted processing can be completed in advance. Through this method, the waste generation end optimization based on the processing progress adjustment is realized, thereby effectively reducing the amount of waste generated, alleviating the burden of back-end processing, and ensuring the completion of the wood order on schedule.

Description

Technical Field

[0001] The invention belongs to the technical field of wood processing progress management, and specifically discloses a wood production and processing progress information management system based on a cloud platform. Background Art

[0002] Joinery products are favored in applications that come into direct contact with the human body because of their natural materials and the absence of harmful chemicals. For example, tongue depressors used in medical examinations, disposable ice cream sticks in the food industry, and wooden knives and forks are all examples of their wide application based on their safety and environmental protection. As people's demand for joinery products continues to increase, the demand for the production and processing of such products has also increased. In this context, the modern wood processing industry is paying more and more attention to processing speed and production progress to meet the rapidly growing market demand.

[0003] In the production process of joinery products, it is usually necessary to perform multiple processing operations such as cutting, drilling, grinding, etc. on the wood raw materials to finally form the finished product. However, this series of process steps will inevitably lead to the generation of wood waste. In the prior art of the generated wood waste, the Chinese invention patent with the publication number CN107908994A discloses a wood product processing progress tracking and residual material information management system based on a cloud platform. The invention judges the processing value of the wood raw materials after the processing of the wood raw materials. If the processed wood residual material no longer has secondary processing value, the operator will discard it; if the wood residual material can still be processed for secondary processing, the operator will store the processed residual material in the board library. At present, the invention mainly uses waste recycling to achieve secondary use to improve the utilization rate of materials. This is a back-end processing measure for wood waste. However, if it only relies on back-end processing without strengthening the control of the production end, it will face the following problems: on the one hand, due to the limited back-end processing capacity and the continuous generation of waste in the front-end production process, a large amount of waste is accumulated, which increases the storage cost and management complexity. On the other hand, if the waste continuously generated at the front end cannot be effectively recycled, it will cause a large amount of waste of resources and fail to fully realize the value of the materials.

[0004] In addition, the amount of waste generated at the production end is usually related to the processing speed. In the context of paying close attention to production progress, companies generally hope to complete orders ahead of schedule by speeding up processing. However, the increase in processing speed will lead to accelerated wear of production equipment, thereby increasing the amount of waste generated. Therefore, excessive emphasis on production progress is very unfavorable for waste treatment and will increase the burden of waste back-end treatment to a certain extent. Summary of the invention

[0005] In order to solve the above technical problems or at least partially solve the above technical problems, the present application provides a wood production and processing progress information management system based on a cloud platform, which monitors the waste amount, processing speed, and processing progress of the entire processing process in the wood production process, thereby adjusting the processing progress of waste abnormalities caused by excessive processing speed when the processing can be completed ahead of schedule, thereby reducing the amount of waste generated from the waste generation end.

[0006] The purpose of the present invention can be achieved through the following technical solutions: a wood production and processing progress information management system based on a cloud platform, including: an order-related information acquisition module, used to obtain the current wood order information and the planned production cycle of the current wood order, wherein the order information includes order category, wood raw material type, wood raw material weight, and the number of wood production finished products.

[0007] The historical reference order screening module is used to retrieve historical orders and screen out historical reference orders by comparing the historical orders with the current wood order information and the planned production cycle of the current wood order.

[0008] The processing reference parameter analysis module is used to determine the processing procedures based on the order category of the current wood order, and at the same time retrieve the processing records involved in the historical reference orders, thereby extracting the waste amount and processing speed of each processing procedure from the processing records, and accordingly analyzing the reference waste amount and reference processing speed of each processing procedure of the current wood order.

[0009] The waste anomaly identification module is used to monitor the waste amount of each processing step in real time in the current wood order production, and compare it with the reference waste amount of the corresponding processing step to identify whether there is waste anomaly. If there is waste anomaly, the processing step with waste anomaly will be recorded as an abnormal step.

[0010] The abnormal process guidance evaluation module is used to detect the processing speed of the abnormal process and compare it with the reference processing speed of the corresponding processing process to judge whether the abnormal process guidance is too fast.

[0011] The processing progress prediction module is used to obtain the processing progress of the current wood order to the abnormal process, and compare it with the planned production cycle of the current wood order to predict whether the processing can be completed ahead of schedule.

[0012] The processing progress adjustment module is used to adjust the processing progress based on the evaluation results of the abnormal process orientation and the prediction results of whether the processing is completed ahead of schedule.

[0013] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention obtains the reference waste amount and reference processing speed of each processing procedure by analyzing the historical reference orders based on the current wood order information, and then monitors the actual performance of the current order in each processing procedure throughout the whole process, records the actual waste amount and processing speed, and compares the actual data with the reference value, thereby identifying the process where the waste amount increases abnormally due to the excessive processing speed, and on this basis, the processing progress is predicted in advance, and the processing speed of the relevant process is reduced and adjusted when it is predicted that the processing can be completed in advance. Through this method, the optimization of the waste generation end based on the adjustment of the processing progress is realized, thereby effectively reducing the amount of waste generated, reducing the burden of back-end processing, and ensuring the completion of the wood order on schedule. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0015] Figure 1 It is a schematic diagram of the connection of each module of the system of the present invention.

[0016] Figure 2 It is a schematic diagram of the processing procedures of wooden cutlery in the current wooden order category in the present invention.

[0017] Figure 3 It is a schematic diagram of the operation of historical reference order screening, waste abnormality identification and processing schedule adjustment in the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] Reference Figure 1As shown, a wood production and processing progress information management system based on a cloud platform includes an order-related information acquisition module, a historical reference order screening module, a processing reference parameter analysis module, a waste anomaly identification module, an abnormal process orientation judgment module, a processing progress prediction module and a processing progress adjustment module, wherein the order-related information acquisition module is connected to the historical reference order screening module, the historical reference order screening module is connected to the processing reference parameter analysis module, the processing reference parameter analysis module is connected to the waste anomaly identification module, the waste anomaly identification module is connected to the abnormal process orientation judgment module, and the abnormal process orientation judgment module and the processing progress prediction module are both connected to the processing progress adjustment module.

[0020] The order-related information acquisition module is used to acquire the current wood order information and the planned production cycle of the current wood order, wherein the order information includes order category, wood raw material type, wood raw material weight, and the number of wood finished products.

[0021] In the above operation example, the order category refers to the specific type and specification size of the order, where the type is, for example, tongue depressor, disposable popsicle stick, wooden knife and fork, etc., the specification size refers to the size of the product expected to be produced by the order, and the wood raw material type refers to the type of wood used for production, such as oak, pine, etc. The weight of wood raw materials refers to the total weight of wood required for production. The number of finished wood products refers to the number of finished products scheduled to be produced, that is, the total amount of products expected to be produced by the order.

[0022] It should be understood that the above-mentioned acquisition of a series of information of the current wood order provides information support for the subsequent determination of the processing procedures of the current wood order and the screening of reference historical orders corresponding to the current wood order.

[0023] The historical reference order screening module is used to retrieve historical orders and screen out historical reference orders by comparing the historical orders with the current wood order information and the planned production cycle of the current wood order. The specific screening is as follows: the order category and wood raw material type of each historical order are compared with the order category and wood raw material type of the current wood order, thereby screening out historical orders with the same order category and wood raw material type from the historical orders as similar historical orders.

[0024] The above-mentioned preliminary screening of similar historical orders from historical orders by utilizing order categories and types of wood raw materials can narrow the screening scope for subsequent screening of historical reference orders, and can find relevant reference orders more quickly, saving time and resources. At the same time, the preliminary screening ensures that the selected historical orders are highly relevant to the current order in terms of category and material, thereby improving the accuracy of the reference data.

[0025] The weight of wood raw materials, the number of wood finished products, and the planned production cycle of each similar historical order are calculated similarly to the weight of wood raw materials, the number of wood finished products, and the planned production cycle of the current wood order to obtain the similarity of the weight of wood raw materials, the similarity of the number of wood finished products, and the similarity of the planned production cycle of each similar historical order.

[0026] Preferably, the similarity calculation process is as follows: the weight of wood raw materials, the number of wood finished products, and the planned production cycle of all similar historical orders are subjected to the maximum value selection of the same parameters, specifically the maximum and minimum values ​​of the wood raw material weight, the maximum and minimum values ​​of the number of wood finished products, and the maximum and minimum values ​​of the planned production cycle; thereby, the weight of wood raw materials, the number of wood finished products, and the planned production cycle of similar historical orders and the current wood order are normalized using the maximum values ​​to obtain the normalized values ​​of the weight of wood raw materials, the normalized values ​​of the number of wood finished products, and the normalized values ​​of the planned production cycle of similar historical orders and the current wood order.

[0027] In the specific implementation value of the above scheme, the calculation formula of the normalized value is: , where Indicates The weight of wood raw materials, the number of wood finished products, and the planned production cycle of similar historical orders, , They respectively represent the maximum and minimum weight of wood raw materials, the maximum and minimum quantity of wood finished products, and the maximum and minimum planned production cycle.

[0028] In another specific implementation of the above scheme, the calculation formula for the normalized value of the wood raw material weight, the normalized value of the number of wood finished products, and the normalized value of the planned production cycle of the current wood order is: , It indicates the normalized value of the wood raw material weight, the normalized value of the number of wood finished products, and the normalized value of the planned production cycle of the current wood order.

[0029] Using expressions Get the similarity of wood raw material weight, wood finished product quantity, and planned production cycle for each similar historical order, where Can be , , ,in , , They represent the weight of wood raw materials, the number of finished wood products, and the planned production cycle. Indicates The historical similar orders correspond to the normalized value of the wood raw material weight, the normalized value of the number of wood finished products, and the normalized value of the planned production cycle. Indicates the historical order number of the same type. , It indicates the normalized value of the wood raw material weight, the normalized value of the number of wood finished products, and the normalized value of the planned production cycle of the current wood order.

[0030] The present invention adopts a normalization method when calculating the similarity between similar historical orders and current wood orders based on the weight of wood raw materials, the number of wood finished products, and the planned production cycle, which can eliminate the data dimension and reduce the calculation error caused by different data dimensions, making the similarity calculation more accurate. At the same time, the normalized data usually has a simple and clear numerical range, which simplifies the similarity calculation formula and reduces the calculation complexity.

[0031] The weighted average similarity of wood raw material weight, wood finished product quantity and planned production cycle of each similar historical order is calculated to obtain the comprehensive similarity of each similar historical order, and compared with the similarity threshold initially set by the system. Thus, similar historical orders whose comprehensive similarity reaches the similarity threshold are screened out as similar orders of the same type.

[0032] In the way that the above scheme can be implemented, it is considered that the purpose of historical reference order screening is to determine the reference waste volume of the current wood order in each processing step from the historical reference orders. In view of the fact that the weight of wood raw materials has a direct and significant impact on material utilization, it plays a key role in the generation of waste volume, while the number of wood finished products and the planned production cycle have relatively little impact on the generation of waste volume. Therefore, when calculating the comprehensive similarity, it is recommended to set the weight value of the similarity of wood raw material weight to 0.4, the weight value of the similarity of the number of wood finished products to 0.3, and the weight value of the similarity of the planned production cycle to 0.3.

[0033] Retrieve the processing records involved in similar orders of the same type, and extract the results of whether the processing is on schedule from the processing records, and then filter out similar orders of the same type that are processed on schedule as historical reference orders.

[0034] It should be added that after a wood order is generated, the production and processing department will produce according to the wood order to form a detailed processing record. The processing record will record the start and end time of each processing step, processing equipment, processing speed, amount of waste, whether the processing is on schedule, etc. Therefore, each wood order will involve a processing record.

[0035] It should be understood that the results of whether the processing is on schedule are extracted from the processing records involved in similar orders of the same type, and then similar orders of the same type that are processed on schedule are taken as historical reference orders. This can, on the one hand, make the time management of orders that are processed on schedule more stringent, and the data in the production process more consistent, reducing the inaccurate data caused by time deviation. Based on the orders that are processed on schedule, the amount of waste in each processing step of the current order can be more accurately predicted. The data of these orders reflect the actual situation of waste generation under normal production conditions. On the other hand, orders based on processing on schedule can provide a reliable reference for the production progress forecast of the current wood orders.

[0036] The processing reference parameter analysis module is used to determine the processing procedures based on the order category of the current wood order, and at the same time retrieve the processing records involved in the historical reference orders, thereby extracting the waste amount and processing speed of each processing procedure from the processing records, and accordingly analyzing the reference waste amount and reference processing speed of each processing procedure of the current wood order.

[0037] It should be noted that the order category of a wooden order determines the processing procedure. This is because different categories of orders correspond to different product types and specifications, and these differences directly affect the processing technology and the required operating steps. In the example where the order category is tongue depressors, the processing procedures are cutting, sanding, and disinfection, etc., and in the example where the order category is wooden cutlery, the processing procedures are cutting, sanding, polishing, and disinfection, etc., among which cutting, sanding, and polishing will generate wood waste. Specifically, cutting is the process of cutting logs into the required shape and size, and the cutting process will generate scraps, sawdust, and debris; sanding is the use of sandpaper or a sander to polish the surface of the wood to remove surface unevenness and burrs and make the surface smooth. Fine wood chips and dust will be generated during the sanding process. The amount of waste generated by sanding depends on the intensity and number of sanding. The greater the sanding intensity and the more times, the more waste will be generated; polishing is the process of further improving the gloss and smoothness of the wood surface, which is usually performed after sanding. Very fine wood chips and dust will be generated during the polishing process.

[0038] In the above example, the order category is wooden cutlery. Figure 2 shown.

[0039] As a preferred implementation of the above operation, the reference waste amount in each processing step of the current wood order is analyzed as follows: the waste amount in the same processing step in the processing record of each historical reference order is classified to form a set of historical waste amounts corresponding to each processing step.

[0040] It should be noted that since the category of wood orders determines the production line used in the processing process, the same production line is used for the same order category, which means that the same set of production equipment is used for the same order category, which means that the equipment, tools and technical parameters used in the processing are the same, which reduces the changes in waste volume caused by equipment or process differences. Therefore, since the same production line and equipment are used, the waste volume data of historical reference orders are highly comparable, and can more accurately form a reference for the waste volume of the current order in each processing step.

[0041] Statistical indicators, including mean, median and mode, are extracted from the historical scrap volume set corresponding to each processing step.

[0042] It is important to know that the mode refers to the value that appears most frequently in the historical waste quantity set. If there are multiple modes, the mode with the highest number of occurrences is selected. For example, assuming that the modes in the historical waste quantity set of a certain processing step are 10kg, 15kg, and 23kg, of which the mode 10kg appears 3 times, the mode 15kg appears 6 times, and the mode 23kg appears 4 times, then the mode of the historical waste quantity set corresponding to the processing step is 15kg.

[0043] The present invention can integrate multiple statistical indicators by extracting the mean, median and mode, reduce the deviation of a single indicator and improve the reliability of data.

[0044] The maximum value of the historical waste volume set corresponding to each processing step is extracted, where the maximum value includes the maximum value and the minimum value, and the difference of the maximum value is divided by the maximum value to obtain the difference of the historical waste volume.

[0045] It should be noted that the historical waste difference calculated above reflects the degree of fluctuation of the historical waste volume in the corresponding processing steps.

[0046] The historical waste volume difference corresponding to each processing step is compared with the allowable difference set by the system. For example, the allowable difference can be 0.2. If the statistical difference of the historical reference waste volume corresponding to a processing step is less than or equal to the allowable difference, it means that the waste volume fluctuates less and has higher stability. Taking the mean of the mean, median and mode as the reference waste volume of the current wood order in the processing step can more accurately predict the reference waste volume of the current wood order in the processing step. On the contrary, when the historical waste volume difference of a processing step exceeds the allowable difference, it indicates that the waste volume fluctuates more. In this case, the mean is easily affected by extreme values ​​and is not representative. Therefore, the median or mode should be selected as a reference. The median can reflect the middle level of the data set and is not affected by extreme values, while the mode reflects the common values ​​in the data set.

[0047] To further evaluate the stability and commonness of the mode, the historical scrap volume set corresponding to the process can be plotted in a histogram, and the height of the peak where the mode is located can be noted. The height of the peak where the mode is located indicates the frequency of occurrence of the value in the data set. In the histogram, the height of the peak where the mode is located represents the frequency of occurrence of the value in the data set. The higher the height, the more frequently the value appears, indicating that the mode has a high degree of stability in the data set. By observing the height of the peak where the mode is located, the commonness of the mode can be judged.

[0048] The height of the peak where the mode is located is compared with the configured height threshold, where the configured height threshold is a preset standard for evaluating the height of the peak where the mode is located. Specifically, a suitable height threshold can be determined through statistical analysis. For example, the average height and standard deviation of all peaks in the historical waste volume set can be calculated, and the height threshold is set to the average height minus one standard deviation. If the height of the peak where the mode is located in the historical waste volume set corresponding to the processing step reaches or exceeds the height threshold, it means that the mode has a high degree of commonality and stability, and can be used as the reference waste volume of the current wood order in the processing step. If the height of the peak where the mode is located does not reach the height threshold, the median is selected as the reference waste volume of the current wood order in the processing step.

[0049] In the above implementation, the reference processing speed of the current wood order in each processing step is analyzed by referring to the analysis method of the reference waste amount.

[0050] The waste anomaly identification module is used to monitor the waste amount of each processing step in real time during the current wood order production, and compare it with the reference waste amount of the corresponding processing step to identify whether there is a waste anomaly. If there is a waste anomaly, the processing step with the waste anomaly is recorded as an abnormal step.

[0051] It should be added that the amount of waste in each processing step can be monitored by weighing the wood raw materials, and the amount of waste can be obtained by subtracting the weight of the wood raw materials before and after processing.

[0052] As an optimized implementation of the above solution, the identification of whether there is waste anomaly refers to the following implementation process: extract the processing time of each processing step from the processing records involved in the historical reference order, and thereby obtain the reference processing time of each processing step, and set the pre-processing time of each processing step based on the reference processing time of each processing step.

[0053] The reference processing time of each processing step mentioned above can also be analyzed by referring to the reference waste amount.

[0054] It should be understood that the purpose of setting the pre-processing time of each processing procedure is to ensure that effective processing progress adjustments can be made based on the subsequent identification results of abnormal waste volume. If abnormal identification is performed based on the total waste volume of the entire processing procedure, when the waste volume is found to be abnormal, the processing has been completed and cannot be adjusted. Therefore, by selecting a portion of the total time of the processing procedure for abnormal waste volume identification, when the waste volume is identified to be abnormal, there is still enough time to adjust the processing progress, so as to respond to abnormal situations in a timely manner and optimize the production process. In specific operations, the pre-processing time selection should not be too short or too long. If the pre-processing time is too short, the time window for monitoring the waste volume will not be sufficient to provide reliable abnormal identification results; and if the pre-processing time is too long, it will reduce the time available for adjusting the processing progress, affecting the timely response and handling of abnormal situations. For example, one-third of the reference processing time can be taken as the pre-processing time. Assuming that the reference processing time of a certain processing procedure is 3 hours, the pre-processing time can be set to 1 hour.

[0055] The amount of waste generated during the pre-processing time of the current processing step of the current wood order is monitored, and the amount of waste generated during the pre-processing time is divided by the pre-processing time to obtain the waste generation rate of the current processing step.

[0056] In the above-described example of implementation, if 5 kg of waste is generated within 1 hour, the waste generation rate is 5 kg / h.

[0057] The reference processing time of the current production process is combined with the reference waste amount to calculate the average waste generation rate of the current production process. Specifically, the reference waste amount is divided by the reference processing time to obtain the average waste generation rate.

[0058] The waste generation rate of the current processing step is compared with the average waste generation rate. If the waste generation rate is higher than the average waste generation rate, it is identified that there is waste anomaly in the current processing step.

[0059] It should be explained that the average waste generation rate reflects the average level of waste generation in a certain processing procedure. During the processing of the processing procedure, the amount of waste generated is usually from small to large, which makes the waste generation rate from slow to fast. This is because at the beginning of the processing procedure, the equipment and operators usually need a period of time to adjust and run-in, so the waste generation rate is low. As the processing progresses, the equipment gradually enters a stable state, the operators become more skilled, and the waste generation rate gradually increases. It can be seen that at the beginning of the processing procedure, the waste generation rate is low. By comparing the waste generation rate of the current processing procedure during the pre-processing time with the average waste generation rate, waste anomalies can be effectively identified. Under normal circumstances, the waste generation rate during the pre-processing time should be less than the average waste generation rate. If the waste generation rate during the pre-processing time is greater than the average waste generation rate, it can be identified as a waste anomaly.

[0060] The abnormal process guidance evaluation module is used to detect the processing speed of the abnormal process, and compare it with the reference processing speed of the corresponding processing process to judge whether the abnormal process guidance is that the processing speed is too fast. The specific evaluation is as follows: the processing speed of the current wood order within the pre-processing time of the abnormal process is compared with the reference processing speed of the corresponding processing process to calculate the processing speed increase, wherein the processing speed increase is calculated by subtracting the processing speed from the reference processing speed and dividing the result by the reference processing speed to obtain the processing speed increase, and comparing it with the critical increase set by the system. If the processing speed increase reaches the critical increase, the abnormal process guidance is judged to be that the processing speed is too fast; otherwise, the abnormal process guidance is judged not to be that the processing speed is too fast.

[0061] It needs to be explained that when identifying waste anomalies in a certain processing procedure, it is necessary to consider a variety of causes of waste anomalies, including excessive processing speed and improper operation of the operator. In this case, only the waste anomalies caused by excessive processing speed can be solved by adjusting the processing schedule. Therefore, it is necessary to conduct a detailed analysis and evaluation of the causes of waste anomalies. The specific method is to compare the actual processing speed of the abnormal process within the pre-processing time with the reference processing speed, where the reference processing speed is a benchmark processing speed determined based on historical data. On the premise of confirming the waste anomaly, if the actual processing speed has a large increase relative to the reference processing speed, it can be determined that the main cause of the waste anomaly is the excessive processing speed.

[0062] The processing progress prediction module is used to obtain the processing progress of the current wood order to the abnormal process, and compare it with the planned production cycle of the current wood order to predict whether the processing is completed ahead of schedule.

[0063] The above process of obtaining the processing progress of the current wood order to the abnormal process refers to the following process: record the time when the current wood order starts processing and the time when the pre-processing of the abnormal process ends, which are recorded as the starting processing time and the abnormal processing time respectively.

[0064] The time between the start processing time and the abnormal processing time is taken as the processing time of the current wood order.

[0065] Furthermore, the prediction of whether the processing is completed ahead of schedule is implemented as follows: the processed time of the current wood order is compared with the planned production cycle to obtain the remaining processing time, specifically, the planned production cycle is subtracted from the processed time to obtain the remaining processing time.

[0066] Count the number of unprocessed processes after the current wood order is processed to the abnormal process.

[0067] It should be added that since the waste abnormality is identified during a part of the abnormal process, the unprocessed process also includes the abnormal process.

[0068] The reference processing speed of the unprocessed process is obtained according to the reference processing speed of each processing process of the current wood order.

[0069] It should be added that when predicting whether the processing is completed ahead of schedule, since the abnormal process has been carried out for a period of time, the processing speed of the abnormal process can be analyzed by using the processing speed of the abnormal process within the pre-processing time as a reference processing speed.

[0070] The reference processing time of the unprocessed process is obtained by combining the quantity of finished wood products of the current wood order with the reference processing speed of the unprocessed process.

[0071] The accumulated result of the reference processing time of all unprocessed processes is compared with the remaining processing time. If the accumulated result of the reference processing time is less than the remaining processing time, it is predicted that the processing can be completed ahead of schedule. Otherwise, it is predicted that the processing cannot be completed ahead of schedule.

[0072] The processing progress adjustment module is used to adjust the processing progress according to the judgment result of the abnormal process orientation and the prediction result of whether the processing is completed ahead of schedule. The specific process is as follows: when it is predicted that the processing can be completed ahead of schedule, the judgment result of the abnormal process orientation is retrieved. When the abnormal process orientation is that the processing speed is too fast, the processing speed is reduced within the remaining processing time of the abnormal process. Since it is predicted that the processing can be completed ahead of schedule, even if the processing speed is reduced, the processing can be guaranteed to be completed on schedule. At the same time, the amount of waste can be reduced from the generation end. When the abnormal process orientation is not that the processing speed is too fast, the processing speed is maintained within the remaining processing time of the abnormal process. At the same time, the operator's operating status is monitored, so that it can be timely identified when the waste abnormality is caused by an operating error, so as to carry out targeted processing.

[0073] In further innovation, the processing progress adjustment also includes the following process: when it is predicted that the processing cannot be completed ahead of schedule, the evaluation result of the abnormal process orientation is retrieved; when the abnormal process orientation is that the processing speed is too fast, the current processing speed is maintained within the remaining processing time of the abnormal process; when the abnormal process orientation is not that the processing speed is too fast, the processing speed is increased within the remaining processing time of the abnormal process, and the operator's operating status is monitored at the same time.

[0074] For the above-mentioned historical reference order screening, waste abnormality identification and processing schedule adjustment operation diagram, please refer to Figure 3 shown.

[0075] It is important to understand that when it is predicted that processing cannot be completed ahead of time, even if the cause of the waste abnormality is too fast processing speed, it is necessary to prioritize the timeliness of order completion, so the processing speed should not be reduced, but the current processing speed should be maintained to avoid further increase in waste volume. When the cause of the waste abnormality is not too fast processing speed, in order to ensure that the order is completed on time, the processing speed can be appropriately increased, and the operator's operating status can be monitored in real time at the same time, so that when the waste abnormality is caused by operating errors, timely identification and targeted measures can be taken to deal with it.

[0076] It should be noted that, under normal circumstances, if the waste abnormality is caused by excessive processing speed, it usually means that in the abnormal process, the processing speed exceeds the normal level. Therefore, the overall processing progress should be advanced, that is, the processing can be completed in advance. However, it does not rule out the situation where the processing cannot be completed in advance, such as caused by delays in the previous process. In this case, even if the processing speed is too fast in the abnormal process, the delayed time cannot be made up, resulting in the processing not being completed in advance.

[0077] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A wood production and processing progress information management system based on a cloud platform, characterized in that: include: The order-related information acquisition module is used to obtain the current wood order information and the planned production cycle of the current wood order, wherein the order information includes order category, wood raw material type, wood raw material weight, and the number of wood finished products; The historical reference order screening module is used to retrieve historical orders and screen out historical reference orders by comparing the historical orders with the current wood order information and the planned production cycle of the current wood order; A processing reference parameter analysis module is used to determine the processing procedures based on the order category of the current wood order, and to retrieve the processing records involved in the historical reference orders, thereby extracting the waste volume and processing speed of each processing procedure from the processing records, and accordingly analyzing the reference waste volume and reference processing speed of each processing procedure of the current wood order; The waste abnormality identification module is used to monitor the waste amount of each processing step in real time during the current wood order production, and compare it with the reference waste amount of the corresponding processing step to identify whether there is waste abnormality. If there is waste abnormality, the processing step with waste abnormality is recorded as an abnormal step; The abnormal process orientation evaluation module is used to detect the processing speed of the abnormal process and compare it with the reference processing speed of the corresponding processing process to judge whether the abnormal process orientation is too fast; The processing progress prediction module is used to obtain the processing progress of the current wood order to the abnormal process, and compare it with the planned production cycle of the current wood order to predict whether the processing will be completed ahead of schedule; The processing progress adjustment module is used to adjust the processing progress based on the evaluation results of the abnormal process orientation and the prediction results of whether the processing is completed ahead of schedule.

2. The wood production and processing progress information management system based on a cloud platform as claimed in claim 1, characterized in that: The historical reference orders refer to the following screening process: Compare the order category and wood raw material type of each historical order with the order category and wood raw material type of the current wood order, thereby selecting historical orders with the same order category and wood raw material type from the historical orders as similar historical orders; The weight of wood raw materials, the number of wood finished products, and the planned production cycle of each similar historical order are similarly calculated with the weight of wood raw materials, the number of wood finished products, and the planned production cycle of the current wood order to obtain the similarity of the weight of wood raw materials, the similarity of the number of wood finished products, and the similarity of the planned production cycle of each similar historical order; The weighted average of the similarity of the wood raw material weight, the similarity of the wood finished product quantity and the similarity of the planned production cycle of each similar historical order is calculated, and the comprehensive similarity of each similar historical order is compared with the similarity threshold initially set by the system, thereby selecting similar historical orders whose comprehensive similarity reaches the similarity threshold from the similar historical orders as similar orders of the same type; Retrieve the processing records involved in similar orders of the same type, and extract the results of whether the processing is on schedule from the processing records, and then filter out similar orders of the same type that are processed on schedule as historical reference orders.

3. The wood production and processing progress information management system based on a cloud platform as claimed in claim 2, characterized in that: The similarity calculation process is as follows: The wood raw material weight, wood finished product quantity, and planned production cycle of all similar historical orders are subjected to the maximum value of the same parameters, and the wood raw material weight, wood finished product quantity, and planned production cycle of similar historical orders and current wood orders are normalized using the maximum value to obtain the normalized value of the wood raw material weight, the normalized value of the wood finished product quantity, and the normalized value of the planned production cycle of similar historical orders and current wood orders; Using expressions Get the similarity of wood raw material weight, wood finished product quantity, and planned production cycle for each similar historical order, where Can be , , ,in , , They represent the weight of wood raw materials, the number of finished wood products, and the planned production cycle. Indicates The historical similar orders correspond to the normalized value of the wood raw material weight, the normalized value of the number of wood finished products, and the normalized value of the planned production cycle. Indicates the historical order number of the same type. , It indicates the normalized value of the wood raw material weight, the normalized value of the number of wood finished products, and the normalized value of the planned production cycle of the current wood order.

4. The cloud platform-based wood production and processing progress information management system according to claim 1, characterized in that: The analysis of the reference waste volume of the current wood order in each processing step is performed as follows: Classify the scrap quantities in the same processing step in the processing records of each historical reference order to form a set of historical scrap quantities corresponding to each processing step, and extract statistical indicators from the set, including the mean, median, and mode; The maximum value of the historical waste volume set corresponding to each processing step is extracted, and the difference of the maximum value is divided by the maximum value to obtain the difference degree of the historical waste volume; The historical waste volume difference corresponding to each processing procedure is compared with the allowable difference set by the system. If the historical waste volume difference of a processing procedure is less than or equal to the allowable difference, the average of the mean, median and mode is used as the reference waste volume of the current wood order in the processing procedure. Otherwise, a histogram is drawn based on the historical waste volume set corresponding to the processing procedure, and then the height of the peak where the mode is located in the histogram is focused and compared with the configured height threshold. If the height of the peak where the mode is located in the histogram of the processing procedure reaches the height threshold, the mode is taken as the reference waste volume of the current wood order in the processing procedure; if the height of the peak where the mode is located does not reach the height threshold, the median is taken as the reference waste volume of the current wood order in the processing procedure.

5. The wood production and processing progress information management system based on a cloud platform as claimed in claim 2, characterized in that: The identification of whether there is waste anomaly refers to the following implementation process: Extract the processing time of each processing procedure from the processing records involved in the historical reference order to obtain the reference processing time of each processing procedure, and set the pre-processing time of each processing procedure accordingly; Monitor the amount of waste generated during the pre-processing time from the current wood order to the current processing step, and obtain the waste generation rate of the current processing step in combination with the pre-processing time; Calculate the average waste generation rate of the current production process by combining the reference processing time of the current production process with the reference waste amount; The waste generation rate of the current processing step is compared with the average waste generation rate. If the waste generation rate is higher than the average waste generation rate, it is identified that there is waste anomaly in the current processing step.

6. The wood production and processing progress information management system based on a cloud platform as claimed in claim 5, characterized in that: The process of judging whether the abnormal process direction is caused by excessive processing speed is as follows: The processing speed of the current wood order within the pre-processing time of the abnormal process is compared with the reference processing speed of the corresponding processing process to calculate the processing speed increase, and compared with the critical increase set by the system. If the processing speed increase reaches the critical increase, the abnormal process is judged to be too fast. Otherwise, the abnormal process is judged not to be too fast.

7. The wood production and processing progress information management system based on a cloud platform as claimed in claim 5, characterized in that: The process of obtaining the processing progress of the current wood order to the abnormal process is as follows: Record the time when the current wood order starts processing and the time when the abnormal process pre-processing ends, which are recorded as the starting processing time and the abnormal processing time respectively; The time between the start processing time and the abnormal processing time is taken as the processing time of the current wood order.

8. The cloud platform-based wood production and processing progress information management system according to claim 7, characterized in that: The prediction of whether the processing is completed in advance is implemented as follows: Compare the processing time of the current wood order with the planned production cycle to obtain the remaining processing time; Count the number of unprocessed processes of the current wood order that have reached abnormal processes, and extract the reference processing speed of the unprocessed processes; The reference processing time of the unprocessed process is obtained by combining the quantity of the finished wood products of the current wood order with the reference processing speed of the unprocessed process; The accumulated result of the reference processing time of all unprocessed processes is compared with the remaining processing time. If the accumulated result of the reference processing time is less than the remaining processing time, it is predicted that the processing can be completed ahead of schedule. Otherwise, it is predicted that the processing cannot be completed ahead of schedule.

9. The wood production and processing progress information management system based on a cloud platform as claimed in claim 5, characterized in that: The processing schedule is adjusted as follows: When it is predicted that the processing can be completed ahead of schedule, the evaluation result of the abnormal process orientation is retrieved. When the abnormal process orientation indicates that the processing speed is too fast, the processing speed is reduced within the remaining processing time of the abnormal process. When the abnormal process orientation indicates that the processing speed is not too fast, the processing speed is maintained within the remaining processing time of the abnormal process, and the operator's operating status is monitored at the same time.

10. The wood production and processing progress information management system based on a cloud platform as claimed in claim 9, characterized in that: The processing schedule adjustment also includes the following process: When it is predicted that the processing cannot be completed in advance, the evaluation result of the abnormal process guidance is retrieved. When the abnormal process guidance is that the processing speed is too fast, the current processing speed is maintained within the remaining processing time of the abnormal process. When the abnormal process guidance is not that the processing speed is too fast, the processing speed is increased within the remaining processing time of the abnormal process, and the operator's operating status is monitored at the same time.

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