Intelligent loading and unloading method and system based on transportation semitrailer
By obtaining cargo information and determining the transportation path in the transport semi-trailer, generating a cargo placement model and outputting an operating plan, the problem of rational use of space and convenient unloading in the transport semi-trailer is solved, and a stable and efficient cargo loading and unloading process is achieved.
Patent Information
- Application Number
- CN202411962706.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-30
- Publication Date
- 2025-05-30
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
In transport semi-trailer, how to make rational use of transportation space while facilitating unloading of loaded goods, especially when goods from multiple destinations share a transport vehicle.
By obtaining the cargo size parameters, the cargo unloading destination and the transportation task path, a collection of transported goods is formed, and a cargo placement model is generated based on the set processing sorting number, and randomly placed in the carriage simulation space, output the simulated placement plan, and determine feasible operation plan and effective operation plan, ultimately realizing the stable placement and convenient unloading of goods.
During the loading and unloading process, the space occupied by the goods and the transportation destination are comprehensively considered, and a loading plan is generated that is convenient for unloading the goods and can reasonably utilize the transportation space, ensuring stable stacking of goods, improving transportation efficiency, and analyzing the remaining loading space and weight of the semi-trailer after loading and unloading is completed, so as to facilitate subsequent cargo replenishment and processing.
Smart Images
Figure CN120057617A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of intelligent transportation technologies, and in particular, to an intelligent loading and unloading method and system based on a transport semi-trailer. Background Art
[0002] A transport semi-trailer is a common large transport vehicle with a large cargo capacity, which can transport a large amount of goods at one time, improve the transport efficiency, and reduce the transport cost per unit of goods.
[0003] In the related technologies, in order to ensure the transport efficiency of goods, before loading and unloading the goods, detailed information such as the size, weight, quantity, and category of the goods is obtained by scanning the barcodes or two-dimensional codes on the goods or by using radio frequency identification (RFID) technology. Then, according to the goods information, the carriage size of the semi-trailer, and the load limit, an intelligent algorithm is used to plan the loading of the goods, so as to make the best use of the carriage space to improve the transport efficiency while ensuring safety. For example, for regularly shaped goods, a space filling algorithm is used to determine the loading positions of the goods.
[0004] In the above-mentioned related technologies, during the transportation of goods by a transport semi-trailer, it is possible that goods with multiple destinations are transported on the same transport vehicle. At this time, if only the carriage space situation is considered, it is easy to make it inconvenient to unload the loaded goods. Therefore, how to reasonably utilize the transport space while facilitating the unloading of the loaded goods is an urgent problem to be solved at present. Summary of the Invention
[0005] In order to reasonably utilize the transport space while facilitating the unloading of the loaded goods, the present application provides an intelligent loading and unloading method and system based on a transport semi-trailer.
[0006] In a first aspect, the present application provides an intelligent loading and unloading method based on a transport semi-trailer, adopting the following technical solution: An intelligent loading and unloading method based on a transport semi-trailer includes: Obtaining the goods size parameters, the goods unloading destinations, and the transport task path; Inducing the goods with the same goods unloading destination to form a transport goods set, and determining a set processing sorting number according to the goods unloading destinations corresponding to the respective transport goods sets in the transport task path; Simulating and generating a goods placement model according to the goods size parameters, and randomly placing the goods placement models corresponding to the respective transport goods sets in a preset carriage simulation space in sequence from front to back according to the set processing sorting number, and outputting a simulated placement plan according to the model placement situation; Define the simulation placement plan in which each cargo placement model is in the carriage simulation space as a feasible operation plan, and generate a unloading route along the preset unloading direction on each cargo placement model in the feasible operation plan; Define the feasible operation plan in which there is no unloading route of any cargo placement model with a processing sorting number after the processing sorting number of the current cargo placement model as an effective operation plan, select the only actual operation plan from the effective operation plan, and place each cargo in the transport semi-trailer according to the actual operation plan.
[0007] Optionally, after determining the feasible operation plan, the intelligent loading and unloading method based on the transport semi-trailer further includes: Determine the model placement bottom surface of each cargo placement model in the feasible operation plan, and determine the bottom surface area according to the model placement bottom surface; Define the plane in contact with the model placement bottom surface as the contact plane, determine the support area according to the overlapping position of the contact plane and the model placement bottom surface, and determine the support area according to the support area; Calculate according to the bottom surface area and the support area to determine the support ratio; Judge whether each support ratio is greater than the preset benchmark demand ratio; If each support ratio is greater than the benchmark demand ratio, maintain the currently determined feasible operation plan; If each support ratio is not greater than the benchmark demand ratio, delete the currently determined feasible operation plan.
[0008] Optionally, it further includes the step of determining the benchmark demand ratio, and this step includes: Determine the corner area in the model placement bottom surface according to the preset corner range; Define the corner area included in the supported area as the effective landing area; Count according to the effective landing area to determine the effective landing quantity; Calculate according to the effective landing quantity and the preset landing compensation ratio to determine the overall compensation ratio, and calculate the difference between the overall compensation ratio and the preset fixed demand ratio to determine the benchmark demand ratio.
[0009] Optionally, the step of selecting the only actual operation plan from the effective operation plan includes: Define the cargo placement model corresponding to the contact plane of each cargo placement model as the cargo support model; Count according to the cargo support model corresponding to each cargo placement model to determine the bottom support quantity; Determine the single body stability parameter corresponding to the bottom support quantity and the support ratio according to the preset stable matching relationship; Calculate the mean value based on the single stability parameters corresponding to each cargo placement model to determine the mean stability parameter; Determine the mean stability parameter with the largest value according to the preset sorting rule, and determine the actual operation plan from the corresponding effective operation plans of this mean stability parameter.
[0010] Optionally, after the mean stability parameter is determined, the intelligent loading and unloading method based on the transport semi-trailer further includes: Judge whether there are at least two effective operation plans with the same and largest mean stability parameters; If there are not at least two effective operation plans with the same and largest mean stability parameters, determine the actual operation plan according to the effective operation plan corresponding to the largest mean stability parameter; If there are at least two effective operation plans with the same and largest mean stability parameters, define the effective operation plan corresponding to the largest mean stability parameter as the alternative operation plan, and define the largest mean stability parameter as the standard stability parameter; Calculate according to the standard stability parameter and each single stability parameter to determine the overall deviation value, determine the overall deviation value with the smallest value according to the sorting rule, and define the alternative operation plan corresponding to this overall deviation value as the effective operation plan.
[0011] Optionally, after the overall deviation value is determined, the intelligent loading and unloading method based on the transport semi-trailer further includes: Judge whether there are at least two alternative operation plans with the same and smallest overall deviation values; If there are not at least two alternative operation plans with the same and smallest overall deviation values, determine the actual operation plan according to the alternative operation plan corresponding to the smallest overall deviation value; If there are at least two alternative operation plans with the same and smallest overall deviation values, determine the point separation distance according to each point on each cargo placement model and the preset rear vehicle relative plane; Determine the point separation distance with the smallest value according to the sorting rule, and define this point separation distance as the remaining effective distance of this alternative operation plan; Determine the alternative operation plan corresponding to the remaining effective distance with the largest value according to the sorting rule, and determine this alternative operation plan as the effective operation plan.
[0012] Optionally, after the actual operation plan is determined, the intelligent loading and unloading method based on the transport semi-trailer further includes: Obtain the cargo loading weight; Calculate the difference according to the cargo loading weight and the preset limit loading weight to determine the remaining loading weight; Calculate according to the remaining effective distance corresponding to the actual operation plan and the preset unit distance space to determine the remaining loading space, and synchronously output the remaining loading weight and the remaining loading space.
[0013] In a second aspect, the present application provides an intelligent loading and unloading system based on a transport semi-trailer, adopting the following technical solutions: An intelligent loading and unloading system based on a transport semi-trailer, comprising: An acquisition module, configured to acquire cargo size parameters, cargo unloading destinations, and transport task paths; A processing module, connected to the acquisition module and the judgment module, for storing and processing information; A judgment module, connected to the acquisition module and the processing module, for judging information; The processing module summarizes the cargoes with the same cargo unloading destination to form a transport cargo set, and determines a set processing sorting number according to the cargo unloading destinations corresponding to each transport cargo set in the transport task path; The processing module simulates and generates a cargo placement model according to the cargo size parameters, and randomly places the cargo placement models corresponding to each transport cargo set in the preset carriage simulation space in sequence from front to back according to the set processing sorting number, and outputs a simulation placement plan according to the model placement situation; The processing module defines the simulation placement plan in which each cargo placement model is in the carriage simulation space as a feasible operation plan, and generates a unloading route along the preset unloading direction on each cargo placement model in the feasible operation plan; The processing module defines the feasible operation plan in which there is no unloading route of any cargo placement model with a processing sorting number after the processing sorting number of the current cargo placement model judged by the judgment module as an effective operation plan, selects a unique actual operation plan from the effective operation plans, and places each cargo in the transport semi-trailer according to the actual operation plan.
[0014] In summary, the present application includes at least one of the following beneficial technical effects: During the process of loading and unloading cargo, it is possible to comprehensively consider the space occupied by the cargo and the situation of the transport destination to generate a loading plan that facilitates the unloading of the cargo and can reasonably utilize the transport space; It is possible to determine the stacking stability of the cargo according to the support conditions at the bottom of each cargo, so as to determine a plan with higher stability for loading and unloading the cargo; After the cargo is loaded and unloaded, it is possible to determine the parameters for transporting the remaining cargo in the semi-trailer by comprehensively analyzing the weight and space, which is convenient for subsequent supplementary processing of the remaining cargo. Description of the Drawings
[0015] Figure 1 It is a flow chart of the intelligent loading and unloading method based on the transport semi-trailer.
[0016] Figure 2 It is a module flow chart of the intelligent loading and unloading method based on the transport semi-trailer. DETAILED DESCRIPTION
[0017] In order to make the purpose, technical solutions and advantages of this application more clear, the following Figure 1 - Figure 2 It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.
[0018] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.
[0019] The present application embodiment discloses an intelligent loading and unloading method based on a transport trailer, referring to Figure 1 The method flow of the intelligent loading and unloading method based on the transport semi-trailer includes the following steps: Step S100: Obtain cargo size parameters, cargo unloading destination, and transportation task path.
[0020] The cargo size parameter is the size of the cargo to be transported. Generally, the cargo to be transported will be stored in wooden boxes to prevent the cargo from being damaged by bumps. Therefore, this application only analyzes regular cargo, and the corresponding cargo size parameters are the length, width, height and other parameters of each cargo; the cargo unloading destination is the destination to which the semi-trailer is required to transport the cargo, and the cargo size parameters and the cargo unloading destination can be obtained by scanning the QR code carried on the cargo; the transportation task path is the path that the semi-trailer currently driven needs to travel when performing subsequent transportation tasks, which can be manually entered by the staff.
[0021] Step S101: Cargoes with the same cargo unloading destination are grouped together to form a transport cargo set, and a set processing sequence number is determined according to the cargo unloading destination corresponding to each transport cargo set in the transport task path.
[0022] A transport cargo set is a set of cargo transported to the same destination. The set processing sort number is the order in which the cargo is processed. The cargo corresponding to the cargo unloading destination that is closer to the front on the transport task path has an earlier number, and vice versa. For example, there are three transport cargo sets A, B, and C. The semi-trailer in the transport task path will first move to C, then to B, and finally to A. Then the set processing sort number of transport cargo set C is 1, the set processing sort number of transport cargo set B is 2, and the set processing sort number of transport cargo set A is 3.
[0023] Step S102: Generate a goods placement model by simulation according to the goods size parameters, and randomly place the corresponding goods placement models of each transport goods set in the preset carriage simulation space in sequence from the front to the back according to the set processing sorting number, and output a simulation placement plan according to the model placement situation.
[0024] The goods placement model is a virtual goods model obtained by modeling the goods according to the goods size parameters. The carriage simulation space is a space model obtained by simulating the carriage of a semi-trailer. By sequentially placing each goods placement model into the carriage simulation space, the simulation of the goods placement situation can be realized, so that a corresponding simulation placement plan can be output after all the models are placed; the method of placing the goods placement model is as follows: first process the goods with a higher set processing sorting number. After all the goods in the transport goods set corresponding to the previous set processing sorting number are placed, then process the goods in the transport goods set corresponding to the next processing sorting number. When placing the goods with the same set processing sorting number, their order can be determined randomly. For example, if there are three goods X, Y, and Z in a transport goods set, the order of placing the goods can be XYZ, XZY, YXZ, YZX, ZXY, ZYX respectively, and the placement positions of each goods are also random.
[0025] Step S103: Define the simulation placement plan in which each goods placement model is in the carriage simulation space as a feasible operation plan, and generate a unloading route along the preset unloading direction on each goods placement model in the feasible operation plan.
[0026] When each goods placement model is in the carriage simulation space, it means that the simulation placement plan can meet the goods transportation requirements. At this time, it is defined as a feasible operation plan to distinguish different simulation placement plans for subsequent analysis; the unloading direction is the direction in which external staff can unload the goods on the semi-trailer. Generally, this unloading direction is the direction from the head to the tail of the vehicle. The unloading route is the projection route generated after the goods placement model is vertically projected along the unloading direction, that is, the moving route when the goods can be conveniently removed from the interior of the carriage.
[0027] Step S104: Define the feasible operation plan in which there is no unloading route of any goods placement model and the processing sorting number is after the processing sorting number of the current goods placement model as an effective operation plan, select a unique actual operation plan from the effective operation plan, and place each goods in the transport semi-trailer according to the actual operation plan.
[0028] When there is no unloading route of any cargo placement model with a processing sequence number after the processing sequence number of the current cargo placement model, it indicates that when unloading the cargo, it is possible to unload the cargo without handling the remaining cargo, which facilitates the loading and unloading of the cargo. At this time, it is defined as an effective operation plan to distinguish different feasible operation plans for subsequent analysis; the actual operation plan is a plan for the user to perform the loading operation. The selection method can be random selection or can be selected according to the method in steps S400 - S404. Carry out handling execution on each cargo according to the actual operation method to reasonably utilize the carriage space while facilitating the subsequent unloading operation of the cargo and improving the overall transportation effect.
[0029] After determining the feasible operation plan, the intelligent loading and unloading method based on the transport semi-trailer further includes: Step S200: Determine the model placement bottom surface of each cargo placement model in the feasible operation plan, and determine the bottom surface area according to the model placement bottom surface.
[0030] The model placement bottom surface is the plane that contacts the object below when each cargo placement model is placed according to the feasible operation plan, and the bottom surface area is the area of the model placement bottom surface.
[0031] Step S201: Define the plane in contact with the model placement bottom surface as the contact plane, determine the support area according to the overlapping position of the contact plane and the model placement bottom surface, and determine the support area according to the support area.
[0032] Define the contact plane to determine the plane that can support the cargo corresponding to the model placement bottom surface for subsequent analysis; the support area is the area that can generate an upward supporting force on the cargo; the support area is the area of the support area.
[0033] Step S202: Calculate according to the bottom surface area and the support area to determine the support ratio.
[0034] The support ratio is the ratio of the area of the region where the supporting force is received on the bottom surface of the model, which is determined by dividing the support area by the bottom surface area.
[0035] Step S203: Determine whether each support ratio is greater than the preset reference demand ratio.
[0036] The reference demand ratio is the minimum support ratio required to generate an effective supporting force on the cargo. The purpose of the judgment is to know whether the current cargo has sufficient supporting force to support it, that is, to know whether the placement position of the cargo is stable.
[0037] Step S2031: If each support ratio is greater than the reference demand ratio, then maintain the currently determined feasible operation plan.
[0038] When the proportion of each support is greater than the benchmark demand proportion, it indicates that each cargo can be effectively supported, that is, each cargo is relatively stable when placed, indicating that the currently determined feasible operation plan can be used for execution, and corresponding maintenance can be carried out.
[0039] Step S2032: If the proportion of each support is not greater than the benchmark demand proportion, delete the currently determined feasible operation plan.
[0040] When the proportion of each support is not greater than the benchmark demand proportion, it indicates that there is a situation where some cargos are not stably placed. At this time, delete the corresponding feasible operation plan to reduce the situation of cargos falling and being damaged during subsequent transportation.
[0041] It also includes the determination step of the benchmark demand proportion, and this step includes: Step S300: Determine the corner area in the bottom surface of the model placement according to the preset corner range.
[0042] The corner range is the support range that needs to be reached when the position points of the corners in a plane set by the staff can effectively support the entire cargo. The corner area is the area with the size of the corner range at the corner position in the bottom surface of the model placement.
[0043] Step S301: Define the corner area included in the supported area as the effective landing area.
[0044] When the corner area is included in the supported area, it indicates that the corner point of the cargo can effectively receive external support. At this time, defining it as the effective landing area can distinguish different corner areas and facilitate subsequent analysis.
[0045] Step S302: Count according to the effective landing area to determine the effective landing quantity.
[0046] The effective landing quantity is the total quantity of the determined effective landing areas.
[0047] Step S303: Calculate according to the effective landing quantity and the preset landing compensation proportion to determine the overall compensation proportion, and calculate the difference between the overall compensation proportion and the preset fixed demand proportion to determine the benchmark demand proportion.
[0048] The landing compensation ratio is the ratio value of the supporting force exerted by an effective landing area set by the staff to compensate for the area ratio of the remaining areas. By multiplying the effective landing quantity by the landing compensation ratio, the support situation at the corner positions can be known, that is, the overall compensation ratio. The fixed demand ratio is the ratio of the minimum support surface required for a staff to determine that a cargo can be placed stably. By subtracting the overall compensation ratio from the fixed demand ratio, a more accurate benchmark demand ratio can be obtained.
[0049] The steps of selecting the only actual operation plan from the effective operation plans include: Step S400: Define the cargo support model as the cargo placement model corresponding to the contact plane of each cargo placement model.
[0050] Defining the cargo support model can distinguish different cargo placement models for subsequent analysis.
[0051] Step S401: Count according to the cargo support model corresponding to each cargo placement model to determine the bottom support quantity.
[0052] The bottom support quantity is the quantity of the remaining cargoes that support the current cargo.
[0053] Step S402: Determine the single-body stability parameter corresponding to the bottom support quantity and the support ratio according to the preset stable matching relationship.
[0054] The single-body stability parameter is a parameter reflecting the stability of the cargo placement. The larger this value, the more stable the cargo. When the bottom support quantity is more, it means that the possibility of spreading during subsequent transportation is greater, so the corresponding single-body stability parameter is smaller. Similarly, when the support ratio is larger, it means that the external support for the cargo is more sufficient, so the corresponding single-body stability parameter is larger. The stable matching relationship among the three is determined and input by the staff in advance.
[0055] Step S403: Calculate the mean value according to the single-body stability parameter corresponding to each cargo placement model to determine the mean stability parameter.
[0056] The mean stability parameter is the average value of all determined single-body stability parameters.
[0057] Step S404: Determine the mean stability parameter with the largest value according to the preset sorting rule, and determine the actual operation plan from the effective operation plan corresponding to this mean stability parameter.
[0058] The sorting rule is a method set by the staff to sort the numerical values, such as the bubble sort method. Through the sorting rule, the mean stability parameter with the largest value can be determined, that is, the highest stability that each cargo can achieve under the current effective operation plan. At this time, the effective operation plan can be determined as the actual operation plan.
[0059] After the mean stability parameter is determined, the intelligent loading and unloading method based on the transport semi-trailer further includes: Step S500: Determine whether there are at least two effective operation plans with the same and largest mean stability parameters.
[0060] The purpose of the determination is to find out whether there are multiple effective operation plans that meet the requirements, so as to determine the unique actual operation plan.
[0061] Step S5001: If there are not at least two effective operation plans with the same and largest mean stability parameters, determine the actual operation plan according to the effective operation plan corresponding to the largest mean stability parameter.
[0062] When there are not at least two effective operation plans with the same and largest mean stability parameters, it means that there is only a unique effective operation plan that meets the requirements. At this time, it can be determined as the actual operation plan.
[0063] Step S5002: If there are at least two effective operation plans with the same and largest mean stability parameters, define the effective operation plan corresponding to the largest mean stability parameter as the alternative operation plan, and define the largest mean stability parameter as the standard stability parameter.
[0064] When there are at least two effective operation plans with the same and largest mean stability parameters, it means that there are multiple effective operation plans that meet the requirements. At this time, they are defined as alternative operation plans for subsequent analysis. At the same time, the standard stability parameter is defined to distinguish different mean stability parameters for subsequent analysis.
[0065] Step S501: Calculate according to the standard stability parameter and each monomer stability parameter to determine the overall deviation value, and determine the overall deviation value with the smallest numerical value according to the sorting rule, and define the alternative operation plan corresponding to the overall deviation value as the effective operation plan.
[0066] The overall deviation value is a value that reflects the proximity of the currently set standard stability parameter to the stability parameters of the other monomers. The larger this value, the greater the deviation in proximity, that is, the greater the difference in the magnitudes of the stability parameters of each monomer, and it is easy to have a situation where the stability of some goods is relatively low. The overall deviation value is determined by calculating the differences between the standard stability parameter and each monomer stability parameter and summing them up with absolute values; through the sorting rule, the overall deviation value with the smallest value can be determined, that is, at this time, the stability levels of each good are relatively close, and each good has a relatively good stability level. At this time, this alternative operation plan can be used as the effective operation plan for use.
[0067] After determining the overall deviation value, the intelligent loading and unloading method based on the transport semi-trailer further includes: Step S600: Determine whether there are at least two alternative operation plans with the same and smallest overall deviation values.
[0068] The purpose of the determination is to find out whether there are multiple alternative operation plans that meet the overall deviation value requirements, so as to determine the only actual operation plan.
[0069] Step S6001: If there are not at least two alternative operation plans with the same and smallest overall deviation values, determine the actual operation plan according to the alternative operation plan corresponding to the smallest overall deviation value.
[0070] When there are not at least two alternative operation plans with the same and smallest overall deviation values, it means that there is only one alternative operation plan that meets the requirements. At this time, it can be determined as the actual operation plan.
[0071] Step S6002: If there are at least two alternative operation plans with the same and smallest overall deviation values, determine the distance between points according to each point on the goods placement model and the preset rear vehicle relative plane.
[0072] When there are at least two alternative operation plans with the same and smallest overall deviation values, it means that there are multiple alternative operation plans that meet the requirements and further analysis is needed; the rear vehicle relative plane is a plane parallel to the head of the vehicle at the rear of the carriage, and the distance between points is the vertical distance from each point on the goods placement model to the rear vehicle relative plane.
[0073] Step S601: Determine the distance between points with the smallest value according to the sorting rule, and define this distance between points as the remaining effective distance of this alternative operation plan.
[0074] The distance between points with the smallest value can be determined through the sorting rule, that is, in this plan, this distance between points is the maximum remaining distance available for placing the remaining goods. At this time, it is defined as the remaining effective distance to distinguish different distances between points and facilitate subsequent analysis.
[0075] Step S602: Determine the maximum remaining effective distance according to the sorting rule, and determine the alternative operation plan corresponding to the remaining effective distance as the effective operation plan.
[0076] The sorting rule can be used to determine the maximum remaining effective distance, that is, the space available for the remaining goods to be placed is the largest under this plan, with a relatively high error tolerance. At this time, it can be determined as the effective operation plan.
[0077] After the actual operation plan is determined, the intelligent loading and unloading method based on the transport semi-trailer further includes: Step S700: Obtain the cargo loading weight.
[0078] The cargo loading weight is the weight of the goods currently required to be loaded.
[0079] Step S701: Calculate the difference according to the cargo loading weight and the preset limit loading weight to determine the remaining loading weight.
[0080] The limit loading weight is the maximum cargo weight that the semi-trailer can load under the premise of ensuring safety. By subtracting the cargo loading weights from the limit loading weight, the remaining weight available for the remaining goods to be loaded can be obtained, that is, the remaining loading weight.
[0081] Step S702: Calculate according to the remaining effective distance corresponding to the actual operation plan and the preset unit distance space to determine the remaining loading space, and synchronously output the remaining loading weight and the remaining loading space.
[0082] The unit distance space is the size of the space remaining in the carriage per unit distance for loading goods. By multiplying the remaining effective distance by the unit distance space, the size of the space remaining in the carriage for the remaining goods to be placed can be obtained, that is, the remaining loading space. At this time, the remaining loading weight and the remaining loading space are synchronously output so that the management personnel can know the specific transportation situation, which is convenient for subsequent adjustment of the transportation task.
[0083] Refer to Figure 2 , based on the same inventive concept, an embodiment of the present invention provides an intelligent loading and unloading system based on a transport semi-trailer, including: An acquisition module, configured to acquire cargo size parameters, cargo unloading destinations, and transportation task paths; A processing module, connected to the acquisition module and the judgment module, for storing and processing information; A judgment module, connected to the acquisition module and the processing module, for judging information; The processing module summarizes the goods with the same unloading destination of the goods to form a set of transported goods, and determines the set processing sorting number according to the unloading destinations of the transported goods sets corresponding to each other in the transportation task path; The processing module simulates and generates a goods placement model according to the goods size parameters, and randomly places the goods placement models corresponding to each transported goods set in the preset carriage simulation space in sequence from front to back according to the set processing sorting number, and outputs a simulation placement plan according to the model placement situation; The processing module defines the simulation placement plan in which each goods placement model is in the carriage simulation space as a feasible operation plan, and generates a unloading route along the preset unloading direction on each goods placement model in the feasible operation plan; The processing module defines the feasible operation plan in which there is no unloading route of any goods placement model with a processing sorting number after the processing sorting number of the current goods placement model judged by the judgment module as an effective operation plan, selects the only actual operation plan from the effective operation plans, and places each goods in the transport semi-trailer according to the actual operation plan; The feasible operation plan analysis module is used to analyze and process the stability of each feasible operation plan; The benchmark demand ratio determination module is used to determine the benchmark demand ratio required by each good; The plan stability situation analysis module is used to analyze and process the stability of each effective operation plan; The effective operation plan screening module is used to screen and process multiple effective operation plans that meet the mean stability parameter; The alternative operation plan screening module is used to screen and process multiple alternative operation plans that meet the overall deviation value; The remaining situation output module is used to determine and output the situation available for loading the remaining goods in the semi-trailer.
[0084] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the above division of each functional module is used as an example. In actual applications, the above functions can be allocated to different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working processes of the system, device and unit described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated here.
Claims
1. An intelligent loading and unloading method based on a transport semi-trailer, characterized in that: include: Obtain cargo size parameters, cargo unloading destination, and transportation task path; The goods with the same cargo unloading destination are summarized to form a transport cargo set, and the set processing sequence number is determined according to the cargo unloading destination corresponding to each transport cargo set in the transport task path; Generate a cargo placement model by simulation according to cargo size parameters, and randomly place the cargo placement models corresponding to each transport cargo set in a preset carriage simulation space from front to back according to the set processing sorting number, and output a simulation placement plan according to the model placement situation; A simulated placement scheme in which each cargo placement model is in the carriage simulation space is defined as a feasible operation scheme, and an unloading route is generated along a preset unloading direction on each cargo placement model in the feasible operation scheme; A feasible operation plan with a processing sequence number after the processing sequence number of the current cargo placement model on the unloading route where no cargo placement model exists is defined as a valid operation plan, and a unique actual operation plan is selected from the valid operation plans, and each cargo is placed in the transport semi-trailer according to the actual operation plan.
2. The intelligent loading and unloading method based on a transport trailer according to claim 1 is characterized in that: After the feasible operation plan is determined, the intelligent loading and unloading method based on the transport semi-trailer also includes: Determine the model placement bottom surface of each cargo placement model in the feasible operation plan, and determine the bottom surface area based on the model placement bottom surface; A plane in contact with the bottom surface of the model placement is defined as a contact plane, and a support region is determined according to the overlapped position of the contact plane and the bottom surface of the model placement, and a support area is determined according to the support region; Calculate the support ratio based on the bottom surface area and support area; Determine whether the proportion of each support is greater than the preset benchmark demand proportion; If the proportion of each support is greater than the proportion of the benchmark demand, the currently determined feasible operation plan will be maintained; If the proportion of each support is not greater than the benchmark demand proportion, the currently determined feasible operation plan will be deleted.
3. The intelligent loading and unloading method based on a transport trailer according to claim 2 is characterized in that: It also includes a step of determining the baseline demand ratio, which includes: Determine the corner area according to the preset corner range in the model placement bottom surface; The corner area included in the supported area is defined as the effective landing area; Counting is done based on the effective landing area to determine the number of effective landings; The overall compensation ratio is determined based on the effective landing quantity and the preset landing compensation ratio, and the difference between the overall compensation ratio and the preset fixed demand ratio is calculated to determine the benchmark demand ratio.
4. The intelligent loading and unloading method based on a transport trailer according to claim 3 is characterized in that: The steps to select a single practical operation plan from the available operation plans include: The cargo placement model corresponding to the contact plane corresponding to each cargo placement model is defined as a cargo support model; Counting the cargo support models corresponding to each cargo placement model to determine the number of bottom supports; Determine the number of bottom supports and the corresponding monomer stability parameters of the support ratio according to the preset stable matching relationship; The mean stability parameter is determined by performing mean calculation according to the monomer stability parameters corresponding to each cargo placement model; The mean stability parameter with the largest value is determined according to a preset sorting rule, and the effective operation scheme corresponding to the mean stability parameter is determined as the actual operation scheme.
5. The intelligent loading and unloading method based on a transport trailer according to claim 4 is characterized in that: After the mean stability parameters are determined, the intelligent loading and unloading method based on the transport trailer also includes: Determine whether there are at least two effective operation schemes with the same and maximum mean stability parameters; If there are not at least two valid operation plans with the same and largest mean stability parameters, the actual operation plan is determined according to the valid operation plan corresponding to the largest mean stability parameter; If there are at least two valid operation schemes with the same and largest mean stability parameters, the valid operation scheme corresponding to the largest mean stability parameter is defined as the alternative operation scheme, and the largest mean stability parameter is defined as the standard stability parameter; The overall deviation value is determined by calculation based on the standard stability parameter and the stability parameters of each monomer, and the overall deviation value with the smallest value is determined based on the sorting rule, and the alternative operation scheme corresponding to the overall deviation value is defined as the effective operation scheme.
6. The intelligent loading and unloading method based on a transport trailer according to claim 5 is characterized in that: At After the overall deviation value is determined, the intelligent loading and unloading method based on the transport trailer also includes: Determine whether there are at least two alternative operation plans with the same and smallest overall deviation values; If there are not at least two alternative operation plans with the same and smallest overall deviation value, the actual operation plan is determined according to the alternative operation plan corresponding to the smallest overall deviation value; If there are at least two alternative operation plans with the same and smallest overall deviation values, the distance between the points is determined based on the points on each cargo placement model and the preset rear relative plane; Determine the distance between points with the smallest value according to the sorting rule, and define the distance between points as the remaining effective distance of the alternative operation scheme; The remaining effective distance with the largest value is determined according to the sorting rule, and the alternative operation scheme corresponding to the remaining effective distance is determined as the effective operation scheme.
7. The intelligent loading and unloading method based on a transport trailer according to claim 6 is characterized in that: After the actual operation plan is determined, the intelligent loading and unloading method based on the transport trailer also includes: Get cargo loading weight; The remaining load weight is determined by performing a difference calculation based on the cargo load weight and the preset limit load weight; The remaining loading space is determined by calculation based on the remaining effective distance corresponding to the actual operation plan and the preset unit distance space, and the remaining loading weight and the remaining loading space are output synchronously.
8. An intelligent loading and unloading system based on a transport semi-trailer, characterized in that: include: An acquisition module is used to obtain cargo size parameters, cargo unloading destination, and transportation task path; A processing module, connected to the acquisition module and the judgment module, for storing and processing information; A judgment module, connected with the acquisition module and the processing module, for judging the information; The processing module summarizes the goods at the same cargo unloading destination to form a transport cargo set, and determines the set processing sequence number according to the cargo unloading destination corresponding to each transport cargo set in the transport task path; The processing module generates a cargo placement model by simulation according to the cargo size parameters, and randomly places the cargo placement models corresponding to each transport cargo set in a preset carriage simulation space from front to back according to the set processing sorting number, and outputs a simulation placement plan according to the model placement situation; The processing module defines a simulated placement scheme in which each cargo placement model is in the carriage simulation space as a feasible operation scheme, and generates an unloading route along a preset unloading direction on each cargo placement model in the feasible operation scheme; The processing module defines a feasible operation plan having a processing sort number after the processing sort number of the current cargo placement model on the unloading route where no cargo placement model is judged by the judgment module as a valid operation plan, and selects a unique actual operation plan from the valid operation plans, and places each cargo in the transport semi-trailer according to the actual operation plan.