A material intelligent management method and system for shipbuilding

Abstract

The present invention discloses a material intelligent management method and system for shipbuilding, and specifically relates to the technical field of material transportation management. The method obtains the priority index by obtaining the actual required production volume, product load coefficient and processing time coefficient of each production line, and then obtains the maintenance index, transportation speed coefficient, transportation deviation coefficient and load capacity coefficient of each transport trolley to obtain the performance evaluation coefficient. The required number of trolleys is obtained according to the priority index of each production line, and the transport trolleys are allocated according to the performance evaluation coefficient of the trolley and the priority index of each production line. The transportation status non-compliance coefficient of each production line within a preset monitoring period is obtained, and the transportation status of the production line is changed according to the transportation status non-compliance coefficient. In this way, the trolley can be configured according to the actual status of the production line and the status of the transport trolley to transport materials to the production line, thereby improving the production efficiency of the products required for shipbuilding.

Description

Technical Field

[0001] The present invention relates to the technical field of material transportation management, and in particular to a material intelligent management method and system for shipbuilding. Background Art

[0002] Intelligent material management for shipbuilding refers to the transportation of unprocessed materials to the production line, which in turn produces the materials required for shipbuilding. In this process, unprocessed materials are generally transported from storage to the production line by a trolley, so that the production line can produce the materials required for shipbuilding in a timely manner.

[0003] In the actual processing process, in general, in order to ensure the production of products on the production line, the staff will configure a certain amount of carts to transport materials for each production line; however, in the actual production process, the status of different production lines may be different. If the materials are still transported to the production line according to the carts configured by the staff, it may delay the production efficiency of the products required for shipbuilding. Summary of the invention

[0004] The purpose of the present invention is to solve the problem and to propose a material intelligent management method and system for shipbuilding.

[0005] In a first aspect of the present invention, a material intelligent management method for shipbuilding is first proposed, the method comprising:

[0006] Obtaining production plan data of each production line, and obtaining a priority index according to the production plan data; the production plan data includes planned production volume, product delivery cycle and processing completion time;

[0007] Acquire vehicle status data of each transport vehicle, and obtain a performance evaluation coefficient of each transport vehicle according to the vehicle status data; the vehicle status data includes maintenance time, transport speed, number of transport path deviations and maximum load weight;

[0008] The required number of trolleys is obtained according to the priority index of each production line and the preset priority index trolley quantity corresponding table, and the transport trolleys are allocated according to the performance evaluation coefficient of the transport trolley and the priority index of each production line;

[0009] Acquire the transportation status data of each production line within a preset monitoring period, and obtain the transportation status non-conformity coefficient of each production line according to the transportation status data; the transportation status data includes the transportation deviation time, the number of transportations with material damage, and the total weight of the transportation;

[0010] The transportation status of the corresponding production line is changed according to the transportation status non-compliance coefficient and the preset transportation status non-compliance coefficient threshold.

[0011] Optionally, obtaining a priority index based on the production plan data includes:

[0012] For each production line, obtain the planned production volume of this material production, and obtain the product production loss rate from historical data. According to the planned production volume and product production loss rate, the actual required production volume is obtained. The calculation formula is: , where is the actual production volume required, For the planned production volume, is the product production loss rate;

[0013] Obtain the product delivery cycle corresponding to each production line, divide the actual required production volume by the product delivery cycle, and obtain the product load factor;

[0014] From the most recent product production process, obtain the time from receiving materials to completing processing on each production line, record it as the processing time, and calculate the average of the processing time as the processing time coefficient;

[0015] The actual required production volume, product load factor and processing time factor are normalized, and the priority index is obtained according to the normalized actual required production volume, product load factor and processing time factor.

[0016] Optionally, the priority index obtained according to the normalized actual required production volume, product load factor and processing time factor includes: In the formula, is the priority index, is the actual required production volume, product load factor and processing time factor after normalization, are respectively the preset proportional coefficients of the actual required production volume, product load factor and processing time factor after normalization, and Both are greater than 0.

[0017] Optionally, the performance evaluation coefficient of each transport vehicle obtained according to the vehicle status data includes:

[0018] Obtain the time from the last maintenance of each transport trolley to obtain the actual maintenance time interval, and obtain the average maintenance time interval of each trolley before maintenance, and divide the actual maintenance time interval by the average maintenance time interval to obtain the maintenance interval coefficient; obtain the time of each maintenance of each transport trolley, and calculate the average maintenance time, and obtain the maintenance index based on the average maintenance time and the maintenance interval coefficient;

[0019] Obtain the starting speed of each trolley from the historical transportation records, and calculate the average of the starting speed and the fastest speed of the trolley under full load as the transportation speed coefficient;

[0020] Obtain the total number of trolley transports and the total number of deviations from the planned path from historical data, and divide the total number of deviations from the planned path by the total number of trolley transports to obtain the transport deviation coefficient;

[0021] Obtain the maximum load weight of the trolley, and divide the maximum load weight by the preset load weight reference value to obtain the load capacity coefficient;

[0022] The maintenance index, transport speed coefficient, transport deviation coefficient, load capacity coefficient and battery remaining power are normalized, and the performance evaluation coefficient of each trolley is obtained according to the normalized maintenance index, transport speed coefficient, transport deviation coefficient, load capacity coefficient and battery remaining power of the trolley.

[0023] Optionally, the performance evaluation coefficients of each vehicle are obtained according to the normalized maintenance index, transportation speed coefficient, transportation deviation coefficient, load capacity coefficient and battery remaining power, including:

[0024] In the formula, is the performance evaluation coefficient, is the normalized maintenance index, transportation speed coefficient, transportation deviation coefficient, load capacity coefficient and battery remaining capacity, are respectively the normalized maintenance index, the transport speed coefficient, the transport deviation coefficient, the load capacity coefficient and the preset proportional coefficient of the remaining battery power, and Both are greater than 0.

[0025] Optionally, the transportation status non-conformity coefficient of each production line obtained according to the transportation status data includes:

[0026] Obtain the transportation deviation time of each trolley corresponding to each production line within the preset monitoring period, and calculate the average of the transportation deviation time of all trolleys as the transportation time difference coefficient of each production line;

[0027] For each trolley corresponding to each production line, the number of times the material is damaged during transportation when it is transported to the production line is divided by the total number of transportations of the corresponding trolley to obtain the transportation damage coefficient of each trolley. The average of the transportation damage coefficients of all trolleys is calculated as the transportation material damage coefficient of each production line.

[0028] Obtain the total weight of all the trolleys corresponding to each production line during the transportation process as the actual total transportation weight, and obtain the total number of transportations of each trolley, and multiply the total number of transportations by the corresponding preset maximum load weight to obtain the maximum transportation weight of each trolley, add the maximum transportation weights of each trolley to obtain the maximum total transportation weight, and calculate the absolute difference of the actual total transportation weight as the transportation weight difference coefficient of each production line;

[0029] The transport status non-compliance coefficient is obtained based on the transport time difference coefficient, transport material damage coefficient and transport weight difference coefficient of each production line.

[0030] Optionally, the transport status non-compliance coefficients obtained according to the transport time difference coefficients, transport material damage coefficients and transport weight difference coefficients of each production line include:

[0031] The transport time difference coefficient, transport material damage coefficient and transport weight difference coefficient are used as the input items of the fuzzy rule, and the transport status non-conformity coefficient of the production line is used as the output item;

[0032] Fuzzify the input items and convert the exact input values ​​into fuzzy sets;

[0033] Define fuzzy rules based on the fuzzy sets of input items to map input items to output items;

[0034] According to the fuzzy rules, the input items are inferred to determine the fuzzy value of the output items;

[0035] For each rule, calculate the membership of its predecessor and take the minimum value as the activation of the rule;

[0036] Synthesize the results of all rules and calculate the fuzzy set of output items;

[0037] The fuzzy value of the output item is converted into an exact value, and the transportation status non-compliance coefficient is output according to the defuzzification result.

[0038] Optionally, changing the transportation status of the production line according to the transportation status non-compliance coefficient and a preset transportation status non-compliance coefficient threshold includes:

[0039] Compare the transport status non-compliance coefficient of each production line with the preset transport status non-compliance coefficient threshold. If the transport status non-compliance coefficient is less than the preset transport status non-compliance coefficient threshold, the material transportation for the corresponding production line is still carried out according to the current trolley material transportation configuration;

[0040] If the transport status non-compliance coefficient is not less than the preset transport status non-compliance coefficient threshold, an alarm is immediately issued that the corresponding production line needs to change the material transportation configuration, and material transportation is carried out on the production line according to the changed material transportation configuration.

[0041] In a second aspect of the present invention, a material intelligent management system for shipbuilding is proposed, the system comprising:

[0042] Priority index module: obtains the production plan data of each production line and obtains the priority index according to the production plan data; the production plan data includes the planned production volume, product delivery cycle and processing completion time;

[0043] Performance evaluation module: obtains vehicle status data of each transport vehicle, and obtains the performance evaluation coefficient of each transport vehicle according to the vehicle status data; the vehicle status data includes maintenance time, transport speed, number of transport path deviations and maximum load weight;

[0044] Allocation module: According to the priority index of each production line and the preset priority index trolley quantity corresponding table, the required number of trolleys is obtained, and the transport trolleys are allocated according to the performance evaluation coefficient of the transport trolley and the priority index of each production line;

[0045] Transportation status module: obtains the transportation status data of each production line within a preset monitoring period, and obtains the transportation status non-conformity coefficient of each production line according to the transportation status data; the transportation status data includes transportation deviation time, number of transportations with material damage, and total transportation weight;

[0046] Management module: Change the transportation status of the corresponding production line according to the transportation status non-compliance coefficient and the preset transportation status non-compliance coefficient threshold.

[0047] Beneficial effects of the present invention:

[0048] The present invention proposes a material intelligent management method and system for shipbuilding, which obtains the actual required production volume, product load coefficient and processing time coefficient of each production line, and obtains the priority index of each production line according to the actual required production volume, product load coefficient and processing time coefficient, and then obtains the maintenance index, transportation speed coefficient, transportation deviation coefficient and load capacity coefficient of each transport trolley to obtain the performance evaluation coefficient of each transport trolley, and obtains the required number of trolleys according to the priority index of each production line and the preset priority index trolley number corresponding table, and allocates the transport trolleys according to the performance evaluation coefficient of the transport trolley and the priority index of each production line, and obtains the transportation status non-compliance coefficient of each production line within a preset monitoring period, and changes the transportation status of the production line according to the transportation status non-compliance coefficient and the preset transportation status non-compliance coefficient threshold. In this way, the trolley can be configured to transport materials to the production line according to the actual status of the production line and the status of the transport trolley, thereby improving the production efficiency of products required for shipbuilding. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The present invention will be further described below in conjunction with the accompanying drawings.

[0050] Figure 1 A flow chart of a material intelligent management method for shipbuilding provided by an embodiment of the present invention;

[0051] Figure 2 A framework diagram of an intelligent material management system for shipbuilding provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0052] 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.

[0053] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in the field without making any creative work shall fall within the scope of protection of the present invention.

[0054] The embodiment of the present invention provides a material intelligent management method for shipbuilding. Figure 1 , Figure 1 A flow chart of a material intelligent management method for shipbuilding provided by an embodiment of the present invention. The method comprises the following steps:

[0055] Obtain the production plan data of each production line and obtain the priority index based on the production plan data; the production plan data includes the planned production volume, product delivery cycle and processing completion time;

[0056] Obtain vehicle status data of each transport vehicle, and obtain the performance evaluation coefficient of each transport vehicle based on the vehicle status data; the vehicle status data includes maintenance time, transport speed, number of transport path deviations and maximum load weight;

[0057] The required number of trolleys is obtained according to the priority index of each production line and the preset priority index trolley quantity corresponding table, and the transport trolleys are allocated according to the performance evaluation coefficient of the transport trolley and the priority index of each production line;

[0058] Acquire the transportation status data of each production line within a preset monitoring period, and obtain the transportation status non-conformity coefficient of each production line according to the transportation status data; the transportation status data includes the transportation deviation time, the number of transportations with material damage, and the total weight of the transportation;

[0059] The transportation status of the corresponding production line is changed according to the transportation status non-compliance coefficient and the preset transportation status non-compliance coefficient threshold.

[0060] Based on an intelligent material management method for shipbuilding provided in an embodiment of the present invention, through the above-mentioned method, a trolley can be configured to transport materials to the production line according to the actual status of the production line and the status of the transport trolley, thereby improving the production efficiency of products required for shipbuilding.

[0061] In one embodiment, obtaining a priority index according to the production plan data includes:

[0062] For each production line, obtain the planned production volume of this material production, and obtain the product production loss rate from historical data. According to the planned production volume and product production loss rate, the actual required production volume is obtained. The calculation formula is: , where is the actual production volume required, For the planned production volume, is the product production loss rate;

[0063] Obtain the product delivery cycle corresponding to each production line, divide the actual required production volume by the product delivery cycle, and obtain the product load factor;

[0064] From the most recent product production process, obtain the time from receiving materials to completing processing on each production line, record it as the processing time, and calculate the average of the processing time as the processing time coefficient;

[0065] The actual required production volume, product load factor and processing time factor are normalized, and the priority index is obtained according to the normalized actual required production volume, product load factor and processing time factor.

[0066] In one embodiment, the priority index obtained according to the normalized actual required production volume, product load factor and processing time factor includes: In the formula, is the priority index, is the actual required production volume, product load factor and processing time factor after normalization, are respectively the preset proportional coefficients of the actual required production volume, product load factor and processing time factor after normalization, and Both are greater than 0.

[0067] It should be noted that It is set by professionals according to the actual situation. Generally, The sum of is 1, for example They can be 0.4, 0.5, 0.1, or other numbers, without limitation.

[0068] It should be noted that the product delivery cycle and planned output corresponding to each production line are set by professional production personnel based on actual conditions. Professional production staff set the product delivery cycle and planned output corresponding to each production line based on the required output of the products and the delivery time of the products. The specific details are determined according to the actual situation and are not limited or elaborated. In addition, the product production loss rate and processing completion time can be extracted from the production history data corresponding to each production line. The production history data stores the product production loss rate and processing completion time in the most recent product production process, which will not be elaborated on in detail.

[0069] It should be noted that the larger the actual required production volume, the larger the product load coefficient, and the smaller the processing time coefficient, that is, the larger the priority coefficient, the larger the product priority index of the production line of the corresponding materials required for shipbuilding, and the better the performance of the corresponding material transport cart. The reason is that when the priority index is larger, it means that the production line has a faster demand for materials and requires frequent material supply to maintain the normal operation of the production line. To ensure production efficiency, high-performance material transport carts should be allocated first to these production lines with high demand coefficients.

[0070] It should be noted that the reason why the actual required production volume, product load factor and processing time factor are chosen to calculate the production priority index instead of other parameters is that these three indicators can comprehensively evaluate the material demand priority of the production line. They cover the direct demand for materials, production intensity and processing efficiency of the production line, ensuring that those production lines with urgent material demand, high production intensity or low processing efficiency can be given priority during transportation. This method can effectively optimize material transportation resources and improve the overall production efficiency of the production line.

[0071] In one implementation, through the above method, the priority index calculated is more accurate and can more intuitively represent the priority of material transportation on the production line.

[0072] In one embodiment, the performance evaluation coefficient of each transport vehicle is obtained according to the vehicle status data, including:

[0073] Obtain the time from the last maintenance of each transport trolley to obtain the actual maintenance time interval, and obtain the average maintenance time interval of each trolley before maintenance, and divide the actual maintenance time interval by the average maintenance time interval to obtain the maintenance interval coefficient; obtain the time of each maintenance of each transport trolley, and calculate the average maintenance time, and obtain the maintenance index based on the average maintenance time and the maintenance interval coefficient;

[0074] Obtain the starting speed of each trolley from the historical transportation records, and calculate the average of the starting speed and the fastest speed of the trolley under full load as the transportation speed coefficient;

[0075] Obtain the total number of trolley transports and the total number of deviations from the planned path from historical data, and divide the total number of deviations from the planned path by the total number of trolley transports to obtain the transport deviation coefficient;

[0076] Obtain the maximum load weight of the trolley, and divide the maximum load weight by the preset load weight reference value to obtain the load capacity coefficient;

[0077] The maintenance index, transport speed coefficient, transport deviation coefficient, load capacity coefficient and battery remaining power are normalized, and the performance evaluation coefficient of each trolley is obtained according to the normalized maintenance index, transport speed coefficient, transport deviation coefficient, load capacity coefficient and battery remaining power of the trolley.

[0078] It should be noted that the actual maintenance time interval, average maintenance time and time of each maintenance of the corresponding vehicle can be extracted from the maintenance records saved in the maintenance management system of each vehicle; the starting speed, full load speed, total number of vehicle transportations and total number of deviations from the planned path can be extracted from the transportation history records stored in the transportation management system of each vehicle; the maximum load weight and remaining battery power can be obtained through the technical specifications or operation records of the vehicle, or other methods can be used, which are not limited or elaborated on.

[0079] It should be noted that the maintenance index can be obtained according to the average maintenance time and the maintenance interval coefficient through the following formula: , where is the maintenance index, is the normalized average maintenance time and maintenance interval coefficient, are respectively the preset proportional coefficients of the normalized average maintenance time and maintenance interval coefficient, and Both are greater than 0.

[0080] It should be noted that It is set by professionals according to the actual situation. Generally, The sum of is 1, for example They can be 0.5, 0.5, or other numbers respectively, and are not specifically limited.

[0081] It should be noted that when the average maintenance time is smaller and the maintenance interval coefficient is smaller, that is, the maintenance index is smaller, the performance of the car is better. This is because a smaller maintenance index means that the car requires fewer maintenance times during use and the time for each maintenance is shorter. In addition, the closer the time to the last maintenance, the smaller the probability of a car failure. Therefore, the stability and reliability of the car are higher, and the performance of the car is better.

[0082] In one embodiment, the performance evaluation coefficients of each vehicle are obtained according to the normalized maintenance index, transportation speed coefficient, transportation deviation coefficient, load capacity coefficient and battery remaining power, including: In the formula, is the performance evaluation coefficient, is the normalized maintenance index, transportation speed coefficient, transportation deviation coefficient, load capacity coefficient and battery remaining capacity, are respectively the normalized maintenance index, the transport speed coefficient, the transport deviation coefficient, the load capacity coefficient and the preset proportional coefficient of the remaining battery power, and Both are greater than 0.

[0083] It should be noted that It is set by professionals according to the actual situation. Generally, The sum of is 1, for example They can be 0.2, 0.2, 0.2, 0.2, 0.2, or other numbers, without limitation.

[0084] It should be noted that when the maintenance index is smaller, the transport speed coefficient is larger, the transport deviation coefficient is smaller, the load capacity coefficient is larger, and the remaining battery power is larger, the performance of the car is better. The reason is that the smaller the maintenance index means that the stability and reliability of the car are higher; the larger the transport speed coefficient, the higher the transport efficiency, and the faster the material transportation task can be completed; the smaller the transport deviation coefficient, the less path deviation the car has during transportation, the stronger the positioning and navigation capabilities, and the more stable the transportation process; the larger the load capacity coefficient, the more the car can carry heavier materials and adapt to larger-scale transportation needs; the larger the remaining battery power, the longer the car can work continuously, reduce the charging frequency, and improve work continuity.

[0085] In one implementation, the above method can be used to more comprehensively evaluate the performance of each trolley, ensuring that the selected transport trolley can better meet the material transportation needs of the production line, thereby improving overall production efficiency and reliability.

[0086] In one embodiment, the required number of trolleys is obtained according to the priority index of each production line and in combination with a preset priority index trolley quantity correspondence table, and the transport trolleys are allocated according to the performance evaluation coefficient of the transport trolley and the priority index of each production line;

[0087] Take an example to illustrate the above steps. For example, suppose there are three production lines A, B, and C, and the corresponding priority allocation coefficients are A greater than B greater than C. Suppose that according to the preset priority index trolley quantity corresponding table, the numbers of transport trolleys for the three production lines A, B, and C are 4, 3, and 2 respectively. Suppose there are a total of 9 trolleys D, E, F, G, H, I, J, K, and M, and the performance evaluation coefficients of these 9 trolleys are D, E, F, G, H, I, J, K, and M in descending order. Then, trolleys D, E, F, and G are now allocated to production line A for material transportation; trolleys H, I, and J are allocated to production line B for material transportation; and trolleys K and M are allocated to production line C for material transportation.

[0088] It should be noted that the preset priority index trolley quantity correspondence table is set by professionals based on actual conditions and is not limited or elaborated on in detail.

[0089] In one implementation method, the above method optimizes the utilization efficiency of the trolley and improves the operational efficiency and reliability of the entire production line.

[0090] In one embodiment, the transportation status non-compliance coefficient of each production line obtained according to the transportation status data includes:

[0091] Obtain the transportation deviation time of each trolley corresponding to each production line within the preset monitoring period, and calculate the average of the transportation deviation time of all trolleys as the transportation time difference coefficient of each production line;

[0092] For each trolley corresponding to each production line, the number of times the material is damaged during transportation when it is transported to the production line is divided by the total number of transportations of the corresponding trolley to obtain the transportation damage coefficient of each trolley. The average of the transportation damage coefficients of all trolleys is calculated as the transportation material damage coefficient of each production line.

[0093] Obtain the total weight of all the trolleys corresponding to each production line during the transportation process as the actual total transportation weight, and obtain the total number of transportations of each trolley, and multiply the total number of transportations by the corresponding preset maximum load weight to obtain the maximum transportation weight of each trolley, add the maximum transportation weights of each trolley to obtain the maximum total transportation weight, and calculate the absolute difference of the actual total transportation weight as the transportation weight difference coefficient of each production line;

[0094] The transport status non-compliance coefficient is obtained based on the transport time difference coefficient, transport material damage coefficient and transport weight difference coefficient of each production line.

[0095] It should be noted that the preset monitoring period is set by professionals based on actual conditions and is not limited or elaborated on in detail.

[0096] It should be noted that the transportation deviation time can be obtained by the difference between the transportation time recorded by the real-time tracking system and the planned time; the number of material damages is obtained through the damage report recorded during transportation; the actual total transportation weight and the preset maximum load weight can be extracted from the load record of the trolley and the load specifications of the production line; the number of transportations and the technical parameters of the trolley can usually be obtained from the operation records and maintenance logs of the equipment; it can also be other ways, which are not limited or elaborated on.

[0097] In one embodiment, the transport status non-compliance coefficient obtained according to the transport time difference coefficient, the transport material damage coefficient and the transport weight difference coefficient of each production line includes:

[0098] The transport time difference coefficient, transport material damage coefficient and transport weight difference coefficient are used as the input items of the fuzzy rule, and the transport status non-conformity coefficient of the production line is used as the output item;

[0099] Fuzzify the input items and convert the exact input values ​​into fuzzy sets;

[0100] Define fuzzy rules based on the fuzzy sets of input items to map input items to output items;

[0101] According to the fuzzy rules, the input items are inferred to determine the fuzzy value of the output items;

[0102] For each rule, calculate the membership of its predecessor and take the minimum value as the activation of the rule;

[0103] Synthesize the results of all rules and calculate the fuzzy set of output items;

[0104] The fuzzy value of the output item is converted into an exact value, and the transportation status non-compliance coefficient is output according to the defuzzification result.

[0105] It should be noted that the above steps are explained;

[0106] Fuzzy input items: Transportation time difference coefficient, transportation material damage coefficient and transportation weight difference coefficient need to be converted into fuzzy sets first. This is done by mapping these precise input values ​​into defined fuzzy sets, such as "low", "medium", "high", etc., in order to handle uncertain and ambiguous data.

[0107] Define fuzzy rules: Based on the fuzzy sets, define fuzzy rules. For example, "If the transport time difference coefficient is high, and the transport material damage coefficient is high, and the transport weight difference coefficient is high, then the transport status non-compliance coefficient is high." These rules map the fuzzy sets of input items to the fuzzy sets of output items.

[0108] Reasoning process: Reasoning is performed based on fuzzy rules. The activation of each rule is determined by calculating the minimum value of the preceding membership, which represents the matching degree of the rule.

[0109] Rule synthesis: Synthesize the results of all rules to obtain the fuzzy set of output items. This step combines the output fuzzy values ​​of all rules to form the final fuzzy set, which is used to represent the transportation status non-compliance coefficient.

[0110] Defuzzification: Convert the output fuzzy set into an exact value. The defuzzification process converts the fuzzy values ​​in the fuzzy set into specific values ​​to provide the final transportation state non-compliance coefficient. For example, the centroid method can be used to calculate the center of gravity of the fuzzy set to obtain a specific output value.

[0111] Application of results: Based on the results of defuzzification, evaluate whether the transportation status of each production line meets expectations. If the transportation status does not meet the expected coefficient, measures may need to be taken, such as optimizing transportation plans, improving transportation tools, or strengthening quality control.

[0112] In one implementation, the transport status non-compliance coefficient is obtained through fuzzy logic processing, which can comprehensively evaluate multiple factors such as transportation time differences, material damage and transportation weight differences, and effectively deal with the uncertainty and ambiguity in the actual transportation process. This method provides a comprehensive and accurate status assessment, making the calculated transport status non-compliance coefficient more accurate and comprehensive.

[0113] In one embodiment, changing the transportation status of the production line according to the transportation status non-compliance coefficient and a preset transportation status non-compliance coefficient threshold includes:

[0114] Compare the transport status non-compliance coefficient of each production line with the preset transport status non-compliance coefficient threshold. If the transport status non-compliance coefficient is less than the preset transport status non-compliance coefficient threshold, the material transportation for the corresponding production line is still carried out according to the current trolley material transportation configuration;

[0115] If the transport status non-compliance coefficient is not less than the preset transport status non-compliance coefficient threshold, an alarm is immediately issued that the corresponding production line needs to change the material transportation configuration, and material transportation is carried out on the production line according to the changed material transportation configuration.

[0116] It should be noted that the preset transport status non-compliance coefficient threshold is set by professionals based on actual conditions, and no specific limitation or elaboration is made;

[0117] It should be noted that when an alarm is issued that the material transportation configuration of the corresponding production line needs to be changed, it indicates that the current material transportation status of the corresponding production line is not suitable. At this time, an alarm needs to be issued to remind the staff to take corresponding measures.

[0118] Adjust the material transportation configuration to ensure that the material transportation status of the production line meets the preset standards and requirements. Specific measures may include reallocating higher-performance carts, changing transportation frequency, adjusting transportation routes, or adding additional monitoring and maintenance, etc. By timely adjusting the material transportation configuration, the operating efficiency of the production line can be improved, material damage can be reduced, and transportation load can be optimized, thereby enhancing the stability and reliability of the production line, ensuring the smooth progress of production tasks, and maximizing the overall benefits of the production line.

[0119] Based on the same inventive concept, the present invention also provides an intelligent material management system for shipbuilding. Figure 2 , Figure 2A structural diagram of a material intelligent management system for shipbuilding provided by an embodiment of the present invention includes:

[0120] Priority index module: obtains the production plan data of each production line and obtains the priority index based on the production plan data; the production plan data includes the planned production volume, product delivery cycle and processing completion time;

[0121] Performance evaluation module: obtains the vehicle status data of each transport vehicle, and obtains the performance evaluation coefficient of each transport vehicle based on the vehicle status data; the vehicle status data includes maintenance time, transport speed, number of transport path deviations and maximum load weight;

[0122] Allocation module: According to the priority index of each production line and the preset priority index trolley quantity corresponding table, the required number of trolleys is obtained, and the transport trolleys are allocated according to the performance evaluation coefficient of the transport trolley and the priority index of each production line;

[0123] Transportation status module: obtains the transportation status data of each production line within a preset monitoring period, and obtains the transportation status non-conformity coefficient of each production line according to the transportation status data; the transportation status data includes transportation deviation time, number of transportations with material damage, and total transportation weight;

[0124] Management module: Change the transportation status of the corresponding production line according to the transportation status non-compliance coefficient and the preset transportation status non-compliance coefficient threshold.

[0125] Based on an intelligent material management system for shipbuilding provided in an embodiment of the present invention, through the above method, the trolley can be configured to transport materials to the production line according to the actual status of the production line and the status of the transport trolley, thereby improving the production efficiency of products required for shipbuilding.

[0126] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A material intelligent management method for shipbuilding, characterized in that: The following steps are involved: Obtaining production plan data of each production line, and obtaining a priority index according to the production plan data; the production plan data includes planned production volume, product delivery cycle and processing completion time; Acquire vehicle status data of each transport vehicle, and obtain a performance evaluation coefficient of each transport vehicle according to the vehicle status data; the vehicle status data includes maintenance time, transport speed, number of transport path deviations and maximum load weight; The required number of trolleys is obtained according to the priority index of each production line and the preset priority index trolley quantity corresponding table, and the transport trolleys are allocated according to the performance evaluation coefficient of the transport trolley and the priority index of each production line; Acquire the transportation status data of each production line within a preset monitoring period, and obtain the transportation status non-conformity coefficient of each production line according to the transportation status data; the transportation status data includes the transportation deviation time, the number of transportations with material damage, and the total weight of the transportation; Change the transportation status of the corresponding production line according to the transportation status non-compliance coefficient and the preset transportation status non-compliance coefficient threshold; The priority indexes obtained based on production plan data include: For each production line, obtain the planned production volume of this material production, and obtain the product production loss rate from historical data. According to the planned production volume and product production loss rate, the actual required production volume is obtained. The calculation formula is: , where is the actual production volume required, For the planned production volume, is the product production loss rate; Obtain the product delivery cycle corresponding to each production line, divide the actual required production volume by the product delivery cycle, and obtain the product load factor; From the most recent product production process, obtain the time from receiving materials to completing processing on each production line, record it as the processing time, and calculate the average of the processing time as the processing time coefficient; Normalizing the actual required production volume, product load factor and processing time factor, and obtaining a priority index according to the normalized actual required production volume, product load factor and processing time factor; The performance evaluation coefficients of each transport vehicle obtained based on the vehicle status data include: Obtain the time from the last maintenance of each transport trolley to obtain the actual maintenance time interval, and obtain the average maintenance time interval of each trolley before maintenance, and divide the actual maintenance time interval by the average maintenance time interval to obtain the maintenance interval coefficient; obtain the time of each maintenance of each transport trolley, and calculate the average maintenance time, and obtain the maintenance index based on the average maintenance time and the maintenance interval coefficient; Obtain the starting speed of each trolley from the historical transportation records, and calculate the average of the starting speed and the fastest speed of the trolley under full load as the transportation speed coefficient; Obtain the total number of trolley transports and the total number of deviations from the planned path from historical data, and divide the total number of deviations from the planned path by the total number of trolley transports to obtain the transport deviation coefficient; Obtain the maximum load weight of the trolley, and divide the maximum load weight by the preset load weight reference value to obtain the load capacity coefficient; The maintenance index, transportation speed coefficient, transportation deviation coefficient, load capacity coefficient and battery remaining power are normalized, and the performance evaluation coefficient of each car is obtained according to the maintenance index, transportation speed coefficient, transportation deviation coefficient, load capacity coefficient and battery remaining power of the car after the normalization; According to the transportation status data, the transportation status non-compliance coefficients of each production line include: Obtain the transportation deviation time of each trolley corresponding to each production line within the preset monitoring period, and calculate the average of the transportation deviation time of all trolleys as the transportation time difference coefficient of each production line; For each trolley corresponding to each production line, the number of times the material is damaged during transportation when it is transported to the production line is divided by the total number of transportations of the corresponding trolley to obtain the transportation damage coefficient of each trolley. The average of the transportation damage coefficients of all trolleys is calculated as the transportation material damage coefficient of each production line. Obtain the total weight of all the trolleys corresponding to each production line during the transportation process as the actual total transportation weight, and obtain the total number of transportations of each trolley, and multiply the total number of transportations by the corresponding preset maximum load weight to obtain the maximum transportation weight of each trolley, add the maximum transportation weights of each trolley to obtain the maximum total transportation weight, and calculate the absolute difference of the actual total transportation weight as the transportation weight difference coefficient of each production line; The transport status non-compliance coefficient is obtained based on the transport time difference coefficient, transport material damage coefficient and transport weight difference coefficient of each production line.

2. The intelligent material management method for shipbuilding according to claim 1 is characterized in that: The priority index obtained based on the normalized actual required production volume, product load factor and processing time factor includes: In the formula, is the priority index, is the actual required production volume, product load factor and processing time factor after normalization, are respectively the preset proportional coefficients of the actual required production volume, product load factor and processing time factor after normalization, and Both are greater than 0.

3. The intelligent material management method for shipbuilding according to claim 1 is characterized in that: The performance evaluation coefficients of each vehicle are obtained based on the normalized maintenance index, transportation speed coefficient, transportation deviation coefficient, load capacity coefficient and battery remaining power, including: In the formula, is the performance evaluation coefficient, is the normalized maintenance index, transportation speed coefficient, transportation deviation coefficient, load capacity coefficient and battery remaining capacity, are respectively the normalized maintenance index, the transport speed coefficient, the transport deviation coefficient, the load capacity coefficient and the preset proportional coefficient of the remaining battery power, and Both are greater than 0.

4. The intelligent material management method for shipbuilding according to claim 1 is characterized in that: The transport status non-compliance coefficients obtained based on the transport time difference coefficient, transport material damage coefficient and transport weight difference coefficient of each production line include: The transport time difference coefficient, transport material damage coefficient and transport weight difference coefficient are used as the input items of the fuzzy rule, and the transport status non-conformity coefficient of the production line is used as the output item; Fuzzify the input items and convert the exact input values ​​into fuzzy sets; Define fuzzy rules based on the fuzzy sets of input items to map input items to output items; According to the fuzzy rules, the input items are inferred to determine the fuzzy value of the output items; For each rule, calculate the membership of its predecessor and take the minimum value as the activation of the rule; Synthesize the results of all rules and calculate the fuzzy set of output items; The fuzzy value of the output item is converted into an exact value, and the transportation status non-compliance coefficient is output according to the defuzzification result.

5. The intelligent material management method for shipbuilding according to claim 1 is characterized in that: Changing the transportation status of a production line based on the transportation status non-compliance factor and the preset transportation status non-compliance factor threshold includes: Compare the transport status non-compliance coefficient of each production line with the preset transport status non-compliance coefficient threshold. If the transport status non-compliance coefficient is less than the preset transport status non-compliance coefficient threshold, the material transportation for the corresponding production line is still carried out according to the current trolley material transportation configuration; If the transport status non-compliance coefficient is not less than the preset transport status non-compliance coefficient threshold, an alarm is immediately issued that the corresponding production line needs to change the material transportation configuration, and material transportation is carried out on the production line according to the changed material transportation configuration.

6. A material intelligent management system for shipbuilding, used to implement a material intelligent management method for shipbuilding as described in any one of claims 1 to 5, characterized in that: The system comprises: Priority index module: obtains the production plan data of each production line and obtains the priority index according to the production plan data; the production plan data includes the planned production volume, product delivery cycle and processing completion time; Performance evaluation module: obtains vehicle status data of each transport vehicle, and obtains the performance evaluation coefficient of each transport vehicle according to the vehicle status data; the vehicle status data includes maintenance time, transport speed, number of transport path deviations and maximum load weight; Allocation module: According to the priority index of each production line and the preset priority index trolley quantity corresponding table, the required number of trolleys is obtained, and the transport trolleys are allocated according to the performance evaluation coefficient of the transport trolley and the priority index of each production line; Transportation status module: obtains the transportation status data of each production line within a preset monitoring period, and obtains the transportation status non-conformity coefficient of each production line according to the transportation status data; the transportation status data includes transportation deviation time, number of transportations with material damage, and total transportation weight; Management module: Change the transportation status of the corresponding production line according to the transportation status non-compliance coefficient and the preset transportation status non-compliance coefficient threshold.

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