Intelligent control method and system for material transfer tray

Abstract

The invention provides an intelligent control method and system for a material transfer tray, and relates to the technical field of transportation control, and the method comprises the steps: downloading work order configuration information; matching a production line number list; traversing the production line number list to carry out loss ratio analysis, and generating a raw material loss ratio list; carrying out production rate analysis to generate a raw material consumption rate list; performing raw material consumption prediction on the product yield list to generate a raw material supply total amount list; according to the raw material consumption speed list and the raw material supply total amount list, calculating a raw material transportation constraint speed list and a raw material single-time transportation constraint amount list; and material transfer task distribution is carried out, and material transfer tray control is carried out according to the material transfer strategy. By means of the method and device, the technical problem that in the prior art, due to the fact that no personalized transfer strategy is generated for material transfer, the transportation efficiency is low can be solved, the technical target of generating the personalized transfer strategy is achieved, and the technical effect of improving the transportation efficiency is achieved.

Description

Technical Field

[0001] The present application relates to the field of transportation control technology, and in particular to an intelligent control method and system for a material transfer pallet. Background Art

[0002] Material transfer pallets are devices used to transport and temporarily store materials in industrial environments, playing an important role in manufacturing, logistics, warehousing and other fields.

[0003] At present, the existing material transfer only uses fixed mode transportation according to user needs, and there is no personalized transfer strategy based on application scenarios, which makes it impossible to migrate and apply in different types of workshops, limiting the scope of application and flexibility. For example, the raw material consumption rate and raw material loss ratio that change with the service life are not taken into account, resulting in low transportation efficiency such as production line shutdown and waiting. Therefore, a method is needed to solve the above problems.

[0004] In summary, the prior art has technical problems in that material transportation does not generate a personalized transportation strategy in combination with application scenarios, resulting in low transportation efficiency and poor adaptability of transportation strategies. Summary of the invention

[0005] The purpose of this application is to provide an intelligent control method and system for material transfer pallets, so as to solve the technical problems in the prior art that material transfer does not generate a personalized transfer strategy in combination with application scenarios, resulting in low transportation efficiency and poor adaptability of transportation strategies.

[0006] In view of the above problems, the present application provides an intelligent control method and system for a material transfer pallet.

[0007] In a first aspect, the present application provides an intelligent control method for a material transfer pallet, which is implemented by an intelligent control system for a material transfer pallet, wherein the method includes: downloading the work order configuration information of a preset time zone of a first workshop through a work order management platform, wherein the work order configuration information includes a product type list and a product output list; inputting the product type list into the production line identification table of the first workshop and matching the production line number list; based on the product type list, traversing the production line number list to perform a loss ratio analysis and generate a raw material loss ratio list; based on the product type list, traversing the production line number list to perform a production rate analysis and generate a raw material consumption rate list; predicting the raw material usage of the product output list according to the raw material loss ratio list and generating a raw material supply total amount list; calculating the raw material transportation constraint speed list and the raw material single transportation constraint quantity list according to the raw material consumption rate list and the raw material supply total amount list; allocating material transfer tasks according to the raw material transportation constraint speed list and the raw material single transportation constraint quantity list, generating a material transfer strategy, and controlling the material transfer pallet according to the material transfer strategy.

[0008] In the second aspect, the present application also provides an intelligent control system for a material transfer pallet, which is used to execute an intelligent control method for a material transfer pallet as described in the first aspect, wherein the system includes: a work order configuration information download module, the work order configuration information download module is used to download the work order configuration information of the preset time zone of the first workshop through the work order management platform, wherein the work order configuration information includes a product type list and a product output list; a production line number list matching module, the production line number list matching module is used to input the product type list into the production line identification table of the first workshop, and match the production line number list; a raw material loss ratio list generation module, the raw material loss ratio list generation module is used to traverse the production line number list based on the product type list to perform a loss ratio analysis and generate a raw material loss ratio list; a raw material consumption rate list generation module, the raw material The consumption speed list generation module is used to traverse the production line number list based on the product type list to perform production rate analysis and generate a raw material consumption speed list; the raw material supply total amount list generation module is used to predict the raw material usage of the product output list according to the raw material loss ratio list and generate a raw material supply total amount list; the constraint calculation module is used to calculate the raw material transportation constraint speed list and the raw material single transportation constraint quantity list according to the raw material consumption speed list and the raw material supply total amount list; the material transfer pallet control module is used to allocate material transfer tasks according to the raw material transportation constraint speed list and the raw material single transportation constraint quantity list, generate a material transfer strategy, and control the material transfer pallet according to the material transfer strategy.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages: The work order configuration information of the preset time zone of the first workshop is downloaded through the work order management platform, wherein the work order configuration information includes a product type list and a product output list; the product type list is input into the production line identification table of the first workshop, and matched with the production line number list; based on the product type list, the production line number list is traversed to perform a loss ratio analysis, and a raw material loss ratio list is generated; based on the product type list, the production line number list is traversed to perform a production rate analysis, and a raw material consumption rate list is generated; according to the raw material loss ratio list, the raw material usage of the product output list is predicted to generate a total raw material supply list; according to the raw material consumption rate list and the total raw material supply list, the raw material transportation constraint speed list and the raw material single transportation constraint quantity list are calculated; according to the raw material transportation constraint speed list and the raw material single transportation constraint quantity list, material transfer tasks are allocated, a material transfer strategy is generated, and material transfer pallets are controlled according to the material transfer strategy, so as to achieve the technical goal of generating personalized transfer strategies in combination with application scenarios and achieve the technical effect of improving transportation efficiency.

[0010] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0012] Figure 1 A schematic diagram of a process flow of an intelligent control method for a material transfer pallet for this application; Figure 2 This is a schematic structural diagram of an intelligent control system for a material transfer pallet in this application.

[0013] Description of reference numerals: Work order configuration information downloading module 11, production line number list matching module 12, raw material loss ratio list generating module 13, raw material consumption speed list generating module 14, raw material supply total amount list generating module 15, constraint calculation module 16, material transfer pallet control module 17. DETAILED DESCRIPTION

[0014] This application provides an intelligent control method and system for material transfer pallets, which solves the technical problem in the prior art that material transfer does not generate a personalized transfer strategy in combination with application scenarios, resulting in low transportation efficiency and poor adaptability of transportation strategies. The technical goal of generating a personalized transfer strategy in combination with application scenarios is achieved, and the technical effect of improving transportation efficiency is achieved.

[0015] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them. Embodiment 1

[0016] Please see attached Figure 1 The present application provides an intelligent control method for a material transfer pallet, wherein the method is applied to an intelligent control system for a material transfer pallet, and the method specifically comprises the following steps: Step 1: Download the work order configuration information of the preset time zone of the first workshop through the work order management platform, wherein the work order configuration information includes a product type list and a product output list.

[0017] Specifically, the first workshop is the workshop where pallet control is to be performed. Through the preset time zone of the first workshop, the work order configuration information of the first workshop is downloaded on the work order management platform. The work order configuration information includes a product type list and a product output list to provide guidance for the production process. For example, the preset time zone of the first workshop is the past week.

[0018] Step 2: Input the product type list into the production line identification table of the first workshop and match the production line number list.

[0019] Specifically, the downloaded product type list is input into the production line identification table of the first workshop. The production line identification table records the numbers of each production line in the workshop and the corresponding product types. Among them, the production line identification table of the first workshop refers to a table that stores product types and production lines in association.

[0020] Step 3: Based on the product type list, traverse the production line number list to perform loss ratio analysis and generate a raw material loss ratio list.

[0021] Specifically, based on the product type list, the production lines corresponding to multiple product types in the production line number list are accessed in sequence, and a loss ratio analysis is performed on each product type and the corresponding production line. The loss ratio analysis analyzes the ratio between the actual consumption of raw materials and the standard consumption to identify the degree of raw material loss, and then obtains a raw material loss ratio list corresponding to multiple product types.

[0022] Step 4: Based on the product type list, traverse the production line number list to perform production rate analysis and generate a raw material consumption rate list.

[0023] Specifically, based on the product type list, the production line number list is accessed in sequence, and the production rate analysis is performed for each product type and the corresponding production line. The production rate analysis focuses on the raw material consumption rate, that is, the consumption of raw materials per unit time. A raw material consumption rate list is generated based on the raw material consumption rates in the production process corresponding to multiple product types.

[0024] Step 5: According to the raw material loss ratio list, the raw material usage of the product output list is predicted to generate a total raw material supply list.

[0025] Specifically, the raw material consumption is predicted for the product output list based on the raw material loss ratio list. The product output list refers to the standard output identification table, which determines the theoretical raw material input amount, and then calculates the loss amount by multiplying the loss ratio with the theoretical raw material input amount. The actual total raw material supply is obtained by adding the loss amount to the theoretical raw material input amount, and then the total raw material supply list is obtained according to multiple product types.

[0026] Step 6: Calculate the raw material transportation constraint speed list and the raw material single transportation constraint quantity list based on the raw material consumption speed list and the raw material supply total quantity list.

[0027] Specifically, based on the raw material consumption speed list and the raw material supply total quantity list, the raw material transportation constraint speed list and the raw material single transportation constraint quantity list are calculated to guide the material transfer pallet in transporting raw materials and the quantity that should be transported each time. For example, extract the raw material type and use the corresponding consumption speed and the round-trip transportation time to calculate the product.

[0028] Step 7: Allocate material transfer tasks according to the raw material transportation constraint speed list and the raw material single transportation constraint quantity list, generate a material transfer strategy, and control the material transfer pallet according to the material transfer strategy.

[0029] Specifically, the material transfer task allocation is performed using the raw material transportation constraint speed list and the raw material single transportation constraint quantity list to determine the raw materials to be transported and optimally allocate tasks to maximize efficiency. Based on the results of task allocation, a material transfer strategy is generated, including material transfer pallets to be transferred according to different raw materials and production line requirements. According to the generated material transfer strategy, the material transfer pallets are controlled to adjust the transportation speed and route of the pallets, and to ensure that the amount of raw materials transported each time meets the constraint quantity.

[0030] The intelligent control method of a material transfer pallet is applied to an intelligent control system of a material transfer pallet, which can achieve the technical goal of generating a personalized transfer strategy in combination with application scenarios, and achieve the technical effect of improving transportation efficiency.

[0031] Furthermore, the present application also includes: Extract the first product type from the product type list, and extract the first production line number from the production line number list, wherein the first product type is associated with the first production line number; collect the preset past time zone production data of the first product type by the first production line number, wherein the preset past time zone production data includes a number of raw material feed quantity record data and a number of product output record data; obtain the standard unit output raw material consumption of the first product type by the first production line number through the standard output identification table; identify the several product output record data according to the unit output raw material standard consumption, and generate several standard raw material consumptions; identify the loss according to the several raw material feed quantity record data and the several standard raw material consumptions, generate the first raw material loss ratio of the first production line number to the first product type, and add it to the raw material loss ratio list.

[0032] Specifically, a first product type is randomly extracted from a product type list of the work order configuration information, and a first production line number associated with the first product type is extracted from a production line number list, wherein the first product type is associated with the first production line number.

[0033] Then, the production data of the preset past time zone of the first product type corresponding to the first production line number is collected. The preset past time zone production data includes a number of raw material input quantity record data and a number of product output record data, which are used to analyze the relationship between raw material consumption and product output.

[0034] Next, the standard output identification table refers to the amount of raw materials that the production line corresponding to the first product type can theoretically consume when producing a unit output of products. By querying the standard output identification table, the standard consumption of raw materials per unit output of the first product type by the first production line number is obtained, that is, the standard value of the amount of raw materials theoretically required to produce a unit output of products.

[0035] Next, the product output record data is marked with the standard raw material consumption per unit output to generate the corresponding standard raw material consumption, that is, the theoretical raw material consumption calculated based on the actual number of products produced.

[0036] Then, compare the actual raw material input record data with the standard raw material consumption, perform loss identification, identify the difference between the actual consumption and the standard consumption, and calculate the raw material loss ratio of the first production line number to the first product type, which reflects the degree of raw material waste in actual production. The calculated first raw material loss ratio is added to the raw material loss ratio list for subsequent analysis and improvement to reduce raw material waste and improve production efficiency. According to the method for obtaining the first raw material loss ratio, the raw material loss ratios corresponding to multiple product types in the product type list are obtained, and the raw material loss ratio list is obtained by integration.

[0037] By obtaining the raw material loss information for each product type on each production line, we can take measures to optimize the production process, reduce raw material costs and improve overall production efficiency.

[0038] Furthermore, the present application also includes: Calculate the deviation modulus values ​​of the several raw material feed quantity record data and the several standard raw material consumption amounts respectively to obtain several raw material loss amounts; compare the several raw material loss amounts with the several standard raw material consumption amounts respectively to obtain several raw material loss evaluation factors; perform outlier evaluation on the several raw material loss evaluation factors to obtain the raw material loss evaluation factor with the lowest outlier score, and set it as the first raw material loss ratio of the first production line number to the first product type.

[0039] Specifically, for each raw material input amount record data, the deviation modulus between the actual consumption and the corresponding standard raw material consumption is calculated to obtain several raw material loss amounts. The deviation modulus refers to the absolute difference between the actual consumption and the standard consumption, indicating the degree to which the actual consumption deviates from the standard, that is, the raw material loss amount, reflecting the difference between the actual consumption and the standard consumption in a specific time period.

[0040] Then, for each raw material loss, compare it with the corresponding standard raw material consumption to obtain the raw material loss evaluation factor. The raw material loss evaluation factor is a dimensionless indicator that represents the multiple difference between the actual consumption and the standard consumption.

[0041] Next, several calculated raw material loss evaluation factors are evaluated for outliers to obtain the raw material loss evaluation factor with the lowest outlier score. The outlier score is used to quantify the degree of deviation of each raw material loss evaluation factor from the overall data set. The evaluation factor with the lowest outlier score is considered to be relatively normal or efficient, indicating that the deviation between the actual consumption and the standard consumption is the smallest. The raw material loss evaluation factor with the lowest outlier score is set as the first raw material loss ratio of the first production line number to the first product type, as an indicator for evaluating the raw material utilization efficiency of the production line when producing the first product type.

[0042] By obtaining the first raw material loss ratio, which is used to evaluate and compare the raw material utilization efficiency of different production lines when producing different product types, it is helpful to identify inefficiencies and take measures to improve them, thereby reducing raw material waste and improving the economy and sustainability of production.

[0043] Furthermore, the present application also includes: The preset past time zone production data includes several raw material consumption speeds; the several raw material consumption speeds are marked with production rates, and the first raw material consumption speed for the first production line number for the first product type is generated and added to the raw material consumption speed list.

[0044] Specifically, a number of raw material consumption rate records are extracted from the production data of the preset past time zone. The raw material consumption rate refers to the rate at which the raw material is consumed in the preset past time zone, expressed as the amount of raw material consumed per unit time.

[0045] Then, the extracted raw material consumption rate is marked with production rate, including classifying, marking or coding the raw material consumption rate for easy management and analysis. According to the marking result, the first raw material consumption rate of the first production line number for the first product type is determined. The first raw material consumption rate reflects the consumption rate of the raw material when the first product type is produced on the production line of the first product type. The determined first raw material consumption rate is added to the raw material consumption rate list. Among them, the raw material consumption rate list includes production lines of different product types and multiple raw material consumption rates of multiple product types, which provides important information for production management and decision-making.

[0046] By understanding the rate at which raw materials are consumed by different production lines in the production of different product types, we can better understand the efficiency of the production process, help identify possible bottlenecks, optimize production processes, reduce waste, and improve overall production efficiency.

[0047] Furthermore, the present application also includes: Construct the raw material transportation balance formula: Formula 1: ;in, Characterizes the jth round trip transportation path distance of the i-th raw material, Characterizes the jth material transport constraint speed of the i-th material, Characterizes the consumption rate of the i-th raw material, Characterizes the j-1th transportation volume of the i-th raw material; Formula 2: ;in, represents the total supply of the i-th raw material, and N represents the total number of supplies; according to the raw material consumption rate list and the total supply of raw materials list, extract the raw material transportation constraint speed list and the raw material single transportation constraint quantity list that simultaneously satisfy equations 1 and 2 of the raw material transportation balance equation.

[0048] Specifically, a raw material transportation balance formula is established to represent the dynamic balance of raw material transportation, ensuring that the amount of raw materials transported each time can meet the consumption requirements. The jth material transportation constraint speed with the i-th material The ratio of the transportation time of the i-th raw material is obtained. and the consumption rate of the i-th raw material The ratio of the raw material consumption time to the j-1th transportation time of the i-th raw material is obtained. When the j-th transportation supply time of the i-th raw material is less than or equal to the j-1-th transportation consumption time of the i-th raw material, it means that the time of the last raw material consumption is greater than the time of the next raw material supply, and then the raw material supply rate is faster than the raw material consumption rate to maintain the balance between consumption and supply.

[0049] Then, for the jth transport quantity of the i-th raw material Perform sum calculation to obtain the total raw material consumption. When the total raw material consumption is greater than or equal to the total raw material supply , indicating that the supply of raw materials is sufficient.

[0050] Next, based on the raw material consumption rate list and the raw material supply total amount list, extract the raw material transportation constraint rate list and the raw material single transportation constraint amount list that satisfy both equations 1 and 2, and then obtain the transportation speed and single transportation amount so that the supply and consumption of raw materials remain balanced within all transportation times.

[0051] By using the raw material transportation speed constraint list and the raw material single transportation quantity constraint list, the transportation process can be optimized, waiting time can be reduced, and production efficiency can be improved.

[0052] Furthermore, the present application also includes: Obtain basic information of material transfer pallets, wherein the basic information of material transfer pallets includes a load threshold; according to the load threshold, optimize the list of single transportation constraints of raw materials to obtain multiple production line combinations, and the sum of the single transportation constraints of any combination is less than or equal to the load threshold; according to the multiple production line combinations, divide the list of raw material transportation constraint speeds to obtain multiple transportation constraint speed combinations; according to the multiple transportation constraint speed combinations, optimize the multiple single transportation constraint combinations of the multiple production line combinations to generate multiple transportation constraint speeds and multiple single transportation constraint combination update results; according to the multiple transportation constraint speeds and the multiple single transportation constraint combination update results, construct the material transfer strategy.

[0053] Specifically, basic information of the material transfer pallet is obtained, and the basic information of the material transfer pallet includes a load threshold, which refers to the maximum amount of raw materials that the pallet can carry.

[0054] Then, according to multiple production line combinations, the raw material transportation constraint speed list is divided to match each production line combination, and a corresponding transportation constraint speed combination is generated for each production line combination.

[0055] Next, multiple transport constraint speed combinations are used to adjust and optimize multiple single transport constraint quantity combinations of multiple production line combinations to obtain the best transport speed and single transport quantity combination to maximize transport efficiency and meet the load threshold. Through iterative optimization, the updated results of multiple transport constraint speeds and multiple single transport constraint quantity combinations are generated.

[0056] Next, based on the updated combination of multiple transport constraint speeds and multiple single transport constraint quantities, a material transfer strategy is constructed to guide how the material transfer pallet transports raw materials between different production lines while ensuring that the load threshold is not exceeded and the transportation efficiency is maximized.

[0057] Through the optimized material transfer strategy, the efficient use of material transfer pallets can be ensured, waiting time can be reduced, transportation costs can be reduced, and overall production efficiency can be improved.

[0058] Furthermore, the present application also includes: According to the load threshold, the list of single transportation constraints of raw materials is randomly combined to obtain a first production line combination set, wherein the sum of the single transportation constraints of raw materials of any combination of the first production line combination set is less than or equal to the load threshold, and the single transportation constraint of raw materials of a single production line of any combination is greater than or equal to the single transportation constraint of raw materials of the corresponding production line; enumerate all combinations to obtain the first production line combination set until the Qth production line combination set; count the sum of the first single transportation distance of the first production line combination set and the number of first material transfer pallets; until counting the Qth single transportation constraint of the Qth production line combination set. The sum of the single transport distances and the Qth material transfer pallet number; configuring a first weight for the normalized value of the sum of the single transport distances, and configuring a second weight for the normalized value of the material transfer pallet number; according to the first weight and the second weight, adding the normalized value of the single transport distance sum and the normalized value of the material transfer pallet number, constructing a first fitness function, wherein the first fitness function is a minimization optimization function; according to the first fitness function, performing minimum value sorting on the first production line combination set to the Qth production line combination set to generate the multiple production line combinations.

[0059] Specifically, a random combination algorithm is used to randomly combine the list of single-transport constraints of raw materials according to the load threshold, which means that different single-transport constraints of raw materials are randomly selected and combined to form a production line combination to generate the first production line combination set. Among them, the sum of the single-transport constraints of raw materials in any combination of the first production line combination set is less than or equal to the load threshold, ensuring that the material transfer pallet will not be overloaded. At the same time, the single-transport constraint of raw materials for a single production line in any combination is greater than or equal to the single-transport constraint of raw materials for the corresponding production line, ensuring that the transportation needs of each production line can be met.

[0060] Then, all possible line combinations are enumerated, starting from the first line combination set to the Qth line combination set. All possible combinations are traversed to ensure that all potential solutions are found.

[0061] Next, the sum of the first single transport distances and the first number of material transfer pallets of the first production line combination set are counted. For each production line combination set, the sum of the corresponding single transport distances and the required number of material transfer pallets are counted, until the sum of the Qth single transport distances and the Qth material transfer pallet number of the Qth production line combination set are counted to evaluate the efficiency of each combination.

[0062] Next, a first weight is configured for the normalized value of the sum of the single transport distances, and a second weight is configured for the normalized value of the number of material transfer pallets, so that the influence of the sum of the single transport distances and the number of material transfer pallets is balanced in the fitness function.

[0063] Then, according to the first weight and the second weight, the normalized value of the sum of the single transport distance and the normalized value of the number of material transfer pallets are added to construct the first fitness function. The first fitness function is a minimization optimization function, and the production line combination that minimizes the sum of the single transport distance and the number of material transfer pallets is obtained.

[0064] Next, the first fitness function is used to perform minimum value sorting on the first production line combination set to the Qth production line combination set, and the production line combination with the smallest fitness function value is selected to obtain the highest transportation efficiency and the lowest number of pallets used, thereby generating multiple production line combinations.

[0065] By combining multiple production lines, the single transportation distance and the number of pallets required can be minimized, thereby improving the efficiency and cost-effectiveness of material transfer.

[0066] Furthermore, the present application also includes: Construct a second fitness function, wherein the second fitness function is the sum of the single transport constraint adjustment amounts, and the second fitness function is a minimization optimization function; obtain the first transport constraint speed combination of the multiple transport constraint speed combinations, and the first transport constraint amount combination of the multiple single transport constraint amount combinations, wherein the first transport constraint speed combination corresponds to the first transport constraint amount combination one by one; calculate the median speed of the first transport constraint speed combination; extract the selected transport constraint speed set greater than or equal to the median speed in the first transport constraint speed combination; traverse the selected transport constraint speed set, adjust the first transport constraint amount combination based on the raw material transport equilibrium formula and the load threshold, and generate a first transport constraint amount combination adjustment result set; according to the second fitness function, perform minimum optimization on the first transport constraint amount combination update result set to obtain the first transport constraint amount combination update result, wherein the first transport constraint amount combination update result has a selected transport constraint speed label; add the first transport constraint amount combination update result to the multiple single transport constraint amount combination update results, and add the selected transport constraint speed label to the multiple transport constraint speeds.

[0067] Specifically, since each transport constraint speed combination can only be carried by one pallet, the transport constraint speed needs to be consistent, thereby unifying the speed. The second fitness function is a minimization optimization function constructed based on the sum of the single transport constraint adjustment amount to find the optimal transport constraint combination so that the total adjustment amount is minimized.

[0068] Then, a first transport constraint speed combination is randomly obtained from multiple transport constraint speed combinations, and a first transport constraint quantity combination corresponding to the first transport constraint speed combination is obtained from multiple single transport constraint quantity combinations, that is, each transport constraint speed in the multiple transport constraint speed combinations corresponds to a single transport constraint quantity in the multiple single transport constraint quantity combinations.

[0069] Next, the median speed of the first transport constraint speed combination is calculated. The median speed is the value in the middle position after all transport constraint speeds are sorted, and is used as a standard for distinguishing between fast and slow speeds.

[0070] Next, transport constraint speeds greater than or equal to the median speed are extracted from the first transport constraint speed combination to form a selected transport constraint speed set, which includes faster transport constraint speeds.

[0071] Then, the selected transport constraint speed sets are accessed in sequence, and the first transport constraint combination is adjusted based on the raw material transport balance formula and the load threshold to find the best transport constraint combination that meets the balance formula and the load threshold. For the selected transport constraint speed set with a small speed in the selected transport constraint speed set, the single transport volume is reduced according to the balance formula because the transport becomes faster, and for the selected transport constraint speed set with a fast speed, the single transport volume is increased according to the balance formula because the transport becomes slower, while the total transport volume still meets the load threshold.

[0072] Next, the second fitness function is used to perform minimum optimization on the first transport constraint combination adjustment result set, thereby obtaining a transport constraint combination update result with a minimum adjustment amount. The first transport constraint combination update result has a selected transport constraint speed label.

[0073] Next, the update result of the first transport constraint combination is added to the update results of multiple single transport constraint combinations, and the selected transport constraint speed label is added to the multiple transport constraint speeds to construct the final material transfer strategy. Among them, the update results of multiple single transport constraint combinations are obtained by optimizing and updating multiple transport constraint speed combinations.

[0074] By obtaining an optimized combination of transport constraints, the adjustment volume can be minimized while meeting the conditions of transport balance and load threshold, which helps to improve the efficiency and cost-effectiveness of material transfer.

[0075] In summary, the intelligent control method of a material transfer pallet provided in this application has the following technical effects: The work order configuration information of the preset time zone of the first workshop is downloaded through the work order management platform, wherein the work order configuration information includes a product type list and a product output list; the product type list is input into the production line identification table of the first workshop, and matched with the production line number list; based on the product type list, the production line number list is traversed to perform a loss ratio analysis, and a raw material loss ratio list is generated; based on the product type list, the production line number list is traversed to perform a production rate analysis, and a raw material consumption rate list is generated; according to the raw material loss ratio list, the raw material usage of the product output list is predicted to generate a total raw material supply list; according to the raw material consumption rate list and the total raw material supply list, the raw material transportation constraint speed list and the raw material single transportation constraint quantity list are calculated; according to the raw material transportation constraint speed list and the raw material single transportation constraint quantity list, material transfer tasks are allocated, a material transfer strategy is generated, and material transfer pallets are controlled according to the material transfer strategy, so as to achieve the technical goal of generating personalized transfer strategies in combination with application scenarios and achieve the technical effect of improving transportation efficiency. Embodiment 2

[0076] Based on the intelligent control method of a material transfer tray in the aforementioned embodiment, the present application also provides an intelligent control system for a material transfer tray, see the attached Figure 2 , the system comprising: A work order configuration information downloading module 11, wherein the work order configuration information downloading module 11 is used to download the work order configuration information of the preset time zone of the first workshop through the work order management platform, wherein the work order configuration information includes a product type list and a product output list; A production line number list matching module 12, the production line number list matching module 12 is used to input the product type list into the first workshop production line identification table to match the production line number list; A raw material loss ratio list generating module 13, wherein the raw material loss ratio list generating module 13 is used to traverse the production line number list to perform loss ratio analysis based on the product type list, and generate a raw material loss ratio list; A raw material consumption rate list generating module 14, wherein the raw material consumption rate list generating module 14 is used to traverse the production line number list to perform production rate analysis based on the product type list, and generate a raw material consumption rate list; A raw material supply total amount list generation module 15, the raw material supply total amount list generation module 15 is used to predict the raw material usage of the product output list according to the raw material loss ratio list, and generate a raw material supply total amount list; A constraint calculation module 16, the constraint calculation module 16 is used to calculate a raw material transportation constraint speed list and a raw material single transportation constraint quantity list according to the raw material consumption speed list and the raw material supply total quantity list; The material transfer pallet control module 17 is used to allocate material transfer tasks according to the raw material transportation constraint speed list and the raw material single transportation constraint quantity list, generate a material transfer strategy, and control the material transfer pallet according to the material transfer strategy.

[0077] Furthermore, the raw material loss ratio list generating module 13 in the system is also used for: Extracting a first product type from the product type list, and extracting a first production line number from the production line number list, wherein the first product type and the first production line number are associated with each other; Collecting preset past time zone production data of the first production line number for the first product type, wherein the preset past time zone production data includes a plurality of raw material feed amount record data and a plurality of product output record data; Obtaining the standard raw material consumption per unit output of the first product type by the first production line number through the standard output identification table; Marking the plurality of product output record data according to the standard raw material consumption per unit output to generate a plurality of standard raw material consumptions; According to the plurality of raw material feed amount record data and the plurality of standard raw material consumption amounts, loss identification is performed, and a first raw material loss ratio of the first production line number to the first product type is generated and added to the raw material loss ratio list.

[0078] Furthermore, the raw material loss ratio list generating module 13 in the system is also used for: Calculating the deviation modulus values ​​of the plurality of raw material feeding amount record data and the plurality of standard raw material consumption amounts respectively to obtain a plurality of raw material loss amounts; Comparing the several raw material loss amounts with the several standard raw material consumption amounts respectively to obtain several raw material loss evaluation factors; An outlier evaluation is performed on the plurality of raw material loss evaluation factors to obtain a raw material loss evaluation factor with a minimum outlier score, which is set as the first raw material loss ratio of the first production line number to the first product type.

[0079] Furthermore, the raw material consumption rate list generating module 14 in the system is also used for: The preset past time zone production data includes several raw material consumption rates; The production rate labels are performed on the several raw material consumption speeds, and the first raw material consumption speed for the first product type is generated for the first production line number, and added to the raw material consumption speed list.

[0080] Furthermore, the constraint calculation module 16 in the system is also used for: Constructing a balance formula for raw material transportation: Formula 1: ; in, Characterizes the jth round trip transportation path distance of the i-th raw material, Characterizes the jth material transport constraint speed of the i-th material, Characterizes the consumption rate of the i-th raw material, Characterizes the j-1th transport volume of the i-th raw material; Formula 2: ; in, represents the total amount of the i-th raw material supply, and N represents the total number of supplies; According to the raw material consumption rate list and the raw material supply total amount list, the raw material transportation constraint rate list and the raw material single transportation constraint amount list which simultaneously satisfy equations 1 and 2 of the raw material transportation balance equation are extracted.

[0081] Furthermore, the material transfer tray control module 17 in the system is also used for: Obtaining basic information of a material transfer pallet, wherein the basic information of the material transfer pallet includes a load threshold; According to the load threshold, the list of single transport constraints of raw materials is combined and optimized to obtain multiple production line combinations, and the sum of the single transport constraints of any combination is less than or equal to the load threshold; According to the multiple production line combinations, the raw material transportation constraint speed list is divided to obtain multiple transportation constraint speed combinations; According to the multiple transport constraint speed combinations, multiple single transport constraint quantity combinations of the multiple production line combinations are adjusted and optimized to generate multiple transport constraint speed and multiple single transport constraint quantity combination update results; The material transfer strategy is constructed according to the combined update results of the multiple transport constraint speeds and the multiple single transport constraint quantities.

[0082] Furthermore, the material transfer tray control module 17 in the system is also used for: According to the load threshold, the list of single transportation constraints of raw materials is randomly combined to obtain a first production line combination set, wherein the sum of the single transportation constraints of raw materials of any combination of the first production line combination set is less than or equal to the load threshold, and the single transportation constraint of raw materials of a single production line of any combination is greater than or equal to the single transportation constraint of raw materials of the corresponding production line; Enumerate all combinations to obtain the first production line combination set to the Qth production line combination set; Counting the sum of the first single transport distance of the first production line combination set and the number of first material transfer pallets; Until the sum of the Qth single transport distances of the Qth production line combination set and the number of the Qth material transfer pallets are counted; A first weight is configured for the normalized value of the sum of the single transport distances, and a second weight is configured for the normalized value of the number of material transfer pallets; According to the first weight and the second weight, a normalized value of the sum of the single transport distances and a normalized value of the number of material transfer pallets are added to construct a first fitness function, wherein the first fitness function is a minimization optimization function; According to the first fitness function, minimum value sorting is performed on the first production line combination set to the Qth production line combination set to generate the multiple production line combinations.

[0083] Furthermore, the material transfer tray control module 17 in the system is also used for: Constructing a second fitness function, wherein the second fitness function is the sum of the single transport constraint adjustment amount, and the second fitness function is a minimization optimization function; Obtaining a first transport constraint speed combination of the plurality of transport constraint speed combinations and a first transport constraint quantity combination of the plurality of single transport constraint quantity combinations, wherein the first transport constraint speed combination corresponds to the first transport constraint quantity combination in a one-to-one manner; calculating a median speed of the first transport constraint speed combination; extracting a selected transport constraint speed set greater than or equal to the median speed from the first transport constraint speed combination; Traversing the selected transport constraint speed set, adjusting the first transport constraint quantity combination based on the raw material transport balance formula and the load threshold, and generating a first transport constraint quantity combination adjustment result set; According to the second fitness function, performing a minimum optimization on the first transport constraint combination update result set to obtain a first transport constraint combination update result, wherein the first transport constraint combination update result has a selected transport constraint speed label; The first transport constraint quantity combination update result is added into the multiple single transport constraint quantity combination update results, and the selected transport constraint speed label is added into the multiple transport constraint speeds.

[0084] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The intelligent control method and specific examples of a material transfer pallet in the aforementioned embodiment 1 are also applicable to an intelligent control system of a material transfer pallet in this embodiment. Through the aforementioned detailed description of the intelligent control method of a material transfer pallet, those skilled in the art can clearly understand the intelligent control system of a material transfer pallet in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method section description.

[0085] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0086] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. An intelligent control method for a material transfer pallet, characterized in that: include: Downloading the work order configuration information of the preset time zone of the first workshop through the work order management platform, wherein the work order configuration information includes a product type list and a product output list; Input the product type list into the first workshop production line identification table and match the production line number list; Based on the product type list, traverse the production line number list to perform loss ratio analysis and generate a raw material loss ratio list; Based on the product type list, traverse the production line number list to perform production rate analysis and generate a raw material consumption rate list; According to the raw material loss ratio list, the raw material usage of the product output list is predicted to generate a raw material supply total amount list; Calculate a raw material transportation constraint speed list and a raw material single transportation constraint quantity list according to the raw material consumption speed list and the raw material supply total quantity list; Material transfer tasks are allocated according to the raw material transportation constraint speed list and the raw material single transportation constraint quantity list, a material transfer strategy is generated, and material transfer pallet control is performed according to the material transfer strategy.

2. The method according to claim 1, characterized in that Based on the product type list, the production line number list is traversed to perform loss ratio analysis, and a raw material loss ratio list is generated, including: Extracting a first product type from the product type list, and extracting a first production line number from the production line number list, wherein the first product type and the first production line number are associated with each other; Collecting preset past time zone production data of the first production line number for the first product type, wherein the preset past time zone production data includes a plurality of raw material feed amount record data and a plurality of product output record data; Obtaining the standard raw material consumption per unit output of the first product type by the first production line number through the standard output identification table; Marking the plurality of product output record data according to the standard raw material consumption per unit output to generate a plurality of standard raw material consumptions; According to the plurality of raw material feed amount record data and the plurality of standard raw material consumption amounts, loss identification is performed, and a first raw material loss ratio of the first production line number to the first product type is generated and added to the raw material loss ratio list.

3. The method according to claim 2, characterized in that The method of marking loss according to the plurality of raw material input amount record data and the plurality of standard raw material consumption amounts, and generating a first raw material loss ratio of the first production line number to the first product type includes: Calculating the deviation modulus values ​​of the plurality of raw material feeding amount record data and the plurality of standard raw material consumption amounts respectively to obtain a plurality of raw material loss amounts; Comparing the several raw material loss amounts with the several standard raw material consumption amounts respectively to obtain several raw material loss evaluation factors; An outlier evaluation is performed on the plurality of raw material loss evaluation factors to obtain a raw material loss evaluation factor with a minimum outlier score, which is set as the first raw material loss ratio of the first production line number to the first product type.

4. The method according to claim 2, characterized in that Based on the product type list, the production line number list is traversed to perform production rate analysis, and a raw material consumption rate list is generated, including: The preset past time zone production data includes several raw material consumption rates; The production rate labels are performed on the several raw material consumption speeds, and the first raw material consumption speed for the first product type is generated for the first production line number, and added to the raw material consumption speed list.

5. The method according to claim 1, characterized in that According to the raw material consumption rate list and the raw material supply total amount list, a raw material transportation constraint rate list and a raw material single transportation constraint amount list are calculated, including: Constructing a balance formula for raw material transportation: Formula 1: ； in, Characterizes the jth round trip transportation path distance of the i-th raw material, Characterizes the jth material transport constraint speed of the i-th material, Characterizes the consumption rate of the i-th raw material, Characterizes the j-1th transport volume of the i-th raw material; Formula 2: ； in, represents the total amount of the i-th raw material supply, and N represents the total number of supplies; According to the raw material consumption rate list and the raw material supply total amount list, the raw material transportation constraint rate list and the raw material single transportation constraint amount list which simultaneously satisfy equations 1 and 2 of the raw material transportation balance equation are extracted.

6. The method according to claim 5, characterized in that The material transfer task is allocated according to the raw material transportation speed constraint list and the raw material single transportation quantity constraint list, and a material transfer strategy is generated, including: Obtaining basic information of a material transfer pallet, wherein the basic information of the material transfer pallet includes a load threshold; According to the load threshold, the list of single transport constraints of raw materials is combined and optimized to obtain multiple production line combinations, and the sum of the single transport constraints of any combination is less than or equal to the load threshold; According to the multiple production line combinations, the raw material transportation constraint speed list is divided to obtain multiple transportation constraint speed combinations; According to the multiple transport constraint speed combinations, multiple single transport constraint quantity combinations of the multiple production line combinations are adjusted and optimized to generate multiple transport constraint speed and multiple single transport constraint quantity combination update results; The material transfer strategy is constructed according to the combined update results of the multiple transport constraint speeds and the multiple single transport constraint quantities.

7. The method according to claim 6, characterized in that According to the load threshold, the list of single-transport constraint quantities of raw materials is combined and optimized to obtain multiple production line combinations, including: According to the load threshold, the list of single transportation constraints of raw materials is randomly combined to obtain a first production line combination set, wherein the sum of the single transportation constraints of raw materials of any combination of the first production line combination set is less than or equal to the load threshold, and the single transportation constraint of raw materials of a single production line of any combination is greater than or equal to the single transportation constraint of raw materials of the corresponding production line; Enumerate all combinations to obtain the first production line combination set to the Qth production line combination set; Counting the sum of the first single transport distance of the first production line combination set and the number of first material transfer pallets; Until the sum of the Qth single transport distances of the Qth production line combination set and the number of the Qth material transfer pallets are counted; A first weight is configured for the normalized value of the sum of the single transport distances, and a second weight is configured for the normalized value of the number of material transfer pallets; According to the first weight and the second weight, a normalized value of the sum of the single transport distances and a normalized value of the number of material transfer pallets are added to construct a first fitness function, wherein the first fitness function is a minimization optimization function; According to the first fitness function, minimum value sorting is performed on the first production line combination set to the Qth production line combination set to generate the multiple production line combinations.

8. The method according to claim 6, characterized in that According to the multiple transport constraint speed combinations, multiple single transport constraint quantity combinations of the multiple production line combinations are adjusted and optimized to generate multiple transport constraint speed and multiple single transport constraint quantity combination update results, including: Constructing a second fitness function, wherein the second fitness function is the sum of the single transport constraint adjustment amount, and the second fitness function is a minimization optimization function; Obtaining a first transport constraint speed combination of the plurality of transport constraint speed combinations and a first transport constraint quantity combination of the plurality of single transport constraint quantity combinations, wherein the first transport constraint speed combination corresponds to the first transport constraint quantity combination in a one-to-one manner; calculating a median speed of the first transport constraint speed combination; extracting a selected transport constraint speed set greater than or equal to the median speed from the first transport constraint speed combination; Traversing the selected transport constraint speed set, adjusting the first transport constraint quantity combination based on the raw material transport balance formula and the load threshold, and generating a first transport constraint quantity combination adjustment result set; According to the second fitness function, performing a minimum optimization on the first transport constraint combination update result set to obtain a first transport constraint combination update result, wherein the first transport constraint combination update result has a selected transport constraint speed label; The first transport constraint quantity combination update result is added into the multiple single transport constraint quantity combination update results, and the selected transport constraint speed label is added into the multiple transport constraint speeds.

9. An intelligent control system for a material transfer tray, characterized in that: For implementing the steps of the method according to any one of claims 1 to 8, the system comprises: A work order configuration information downloading module, the work order configuration information downloading module is used to download the work order configuration information of the preset time zone of the first workshop through the work order management platform, wherein the work order configuration information includes a product type list and a product output list; A production line number list matching module, the production line number list matching module is used to input the product type list into the first workshop production line identification table to match the production line number list; A raw material loss ratio list generation module, the raw material loss ratio list generation module is used to traverse the production line number list to perform loss ratio analysis based on the product type list, and generate a raw material loss ratio list; A raw material consumption rate list generation module, the raw material consumption rate list generation module is used to traverse the production line number list to perform production rate analysis based on the product type list, and generate a raw material consumption rate list; A raw material supply total amount list generation module, the raw material supply total amount list generation module is used to predict the raw material usage of the product output list according to the raw material loss ratio list, and generate a raw material supply total amount list; A constraint calculation module, the constraint calculation module is used to calculate a raw material transportation constraint speed list and a raw material single transportation constraint quantity list according to the raw material consumption speed list and the raw material supply total quantity list; A material transfer pallet control module is used to allocate material transfer tasks according to the raw material transportation constraint speed list and the raw material single transportation constraint quantity list, generate a material transfer strategy, and control the material transfer pallet according to the material transfer strategy.

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