An intelligent calculation method for a pharmaceutical cold chain logistics loading container

Abstract

The present invention discloses an intelligent calculation method for a pharmaceutical cold chain logistics loading container, which relates to the technical field of cold chain logistics loading, and includes determining a working vehicle and determining a recommended placement method according to the selection coefficients corresponding to each placement method; it solves the technical problem that when loading based on the experience of staff, the utilization of the carrying space often has unreasonable placement of goods, resulting in a large amount of space not being utilized, and it is impossible to ensure uniform weight distribution within the loading space, and thus it is impossible to determine the placement method with the highest space utilization rate and the most uniform weight distribution, which affects the loading efficiency and space utilization rate and increases the logistics cost; by calculating the loading space utilization rate of each placement method, selecting the placement method with the highest space utilization rate and the most uniform weight distribution as the recommended placement method, and placing each goods to be transported according to the placement pattern guidance of the recommended placement method, the loading efficiency and space utilization rate are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of cold chain logistics loading, and particularly relates to an intelligent calculation method for a loading container in pharmaceutical cold chain logistics. Background Art

[0002] With the continuous development of pharmaceutical cold chain logistics, the requirements for the safety and stability of goods during transportation are increasing day by day. Pharmaceutical cold chain logistics is a special type of logistics mainly used for pharmaceuticals, medical samples, etc. The items transported by pharmaceutical cold chain logistics have very strict requirements for temperature and humidity. Containers such as insulated boxes and refrigerated trucks used for transportation have become the key tools for temperature and humidity control. Filling an appropriately sized insulated box with the goods of the same temperature and humidity requirements of the customer as much as possible has become a key operation. This will improve the transportation efficiency and reduce losses on the premise of meeting customer requirements. Cold chain logistics consists of links such as transportation, distribution, warehousing, packaging, handling and loading / unloading, distribution processing, and related logistics information.

[0003] A patent with the patent publication number CN113787974A discloses a method for safely transporting goods in a cold chain logistics vehicle and a cold chain logistics vehicle, including the following steps: determining the relevant factors for safe transportation of goods and selecting real-time monitoring indicators, and selecting relevant indicators according to the factors affecting the safe transportation of goods in transit; the selected relevant indicators are used to collect real-time data through a real-time monitoring unit, where the real-time monitoring unit includes information collection sensors installed in the vehicle; the collected real-time data is processed by a monitoring data processing unit; the processed data is compared with preset data according to authentication, standard frame format, and extended frame setting format. If the processed data does not conform to the preset data, an alarm prompt is issued; the driver receives the alarm prompt and eliminates the fault according to the alarm prompt. Through the above method, the safety problems of goods in transit can be discovered in time and solved in time, ensuring the safety of goods transportation.

[0004] However, since the key factor determining logistics costs lies in the most effective utilization of the carrying space, the effective utilization of existing technologies for storage space and carrying space, especially the carrying space, is generally based on the experience of logistics personnel. For example, when loading a logistics vehicle, it is often loaded based on the experience of the staff. There may be unreasonable placement of goods in the utilization of the carrying space, resulting in a large amount of space not being utilized, and it is impossible to ensure uniform weight distribution within the loading space. Furthermore, it is impossible to determine the placement method with the highest space utilization rate and the most uniform weight distribution, affecting the loading efficiency and space utilization rate, and increasing logistics costs. Based on this, an intelligent calculation method for a loading container in pharmaceutical cold chain logistics is proposed. Summary of the Invention

[0005] The purpose of the present invention is to provide an intelligent calculation method for a pharmaceutical cold chain logistics loading container, which solves the technical problems that when loading based on the experience of staff, the utilization of the transportation space often has unreasonable placement of goods, resulting in a large amount of unused space, and it is impossible to ensure uniform weight distribution within the loading space. Furthermore, it is impossible to determine the placement method with the highest space utilization rate and the most uniform weight distribution, which affects the loading efficiency and space utilization rate and increases the logistics cost.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] An intelligent calculation method for a pharmaceutical cold chain logistics loading container includes the following steps:

[0008] Step 1: Obtain the total volume of the goods to be transported according to the volume of each good to be transported. Determine the working vehicle based on the total volume of the goods to be transported and the preset size of the reserved space.

[0009] Step 2: Simulate the placement methods corresponding to each packing algorithm of the goods to be transported in the packing module through each packing algorithm according to the loading space of the working vehicle and the volume of each good to be transported.

[0010] Step 3: Obtain the selection coefficient corresponding to each placement method according to the loading space utilization rate and weight distribution value of each placement method. Determine the recommended placement method based on the selection coefficient corresponding to each placement method.

[0011] Step 4: Place each good to be transported one by one to the specified position and direction according to the placement pattern guidance of the recommended placement method.

[0012] As a further scheme of the present invention: The specific method for determining the working vehicle is:

[0013] Calculate the volume of each good according to the product of the length, width, and height of each good to be transported. Add the volumes of each good to obtain the total volume of the goods to be transported. Determine the lower limit value of the loading space of the required transport vehicle based on the total volume of the goods to be transported and the preset size of the reserved space. Select a transport vehicle that meets the lower limit value of the loading space as the working vehicle.

[0014] As a further scheme of the present invention: The specific method for calculating the loading space utilization rate corresponding to each placement method is:

[0015] Multiply the ratio between the remaining space in the loading space of each placement method and the size of the loading space by 100% to obtain the loading space utilization rate L i corresponding to each placement method, where i is the number corresponding to each placement method, i≥1, and the product of the length, width, and height of the working vehicle carriage is denoted as the size of the loading space of the working vehicle.

[0016] As a further solution of the present invention: The specific method for obtaining the weight distribution value corresponding to each placement method is as follows:

[0017] S1: After selecting a target method, first evenly divide the loading space of the work vehicle into n placement areas, and then record the total weight of the goods to be transported corresponding to each placement area in this target placement method as M1n, where n represents the number of the placement area. Calculate the mass density En of each placement area, and calculate the weight distribution value U of the mass density in the target method through the distribution value calculation formula, where n represents the number of the placement area, n≥1;

[0018] S2: Repeat steps S1 - S2, and the weight distribution values Ui corresponding to each placement method can be obtained.

[0019] As a further solution of the present invention: The specific method for obtaining the mass density corresponding to each placement area in the target method is as follows:

[0020] For the weight M1n of the goods to be transported corresponding to each placement area in the target method, calculate the mass density En corresponding to each placement area through the formula En = M1n / (V / n), where V is the size of the loading space.

[0021] As a further solution of the present invention: The specific method for obtaining the selection coefficient corresponding to each placement method is as follows:

[0022] Mark the ratio between the loading space utilization rate of each placement method and the reciprocal of the weight distribution value U of the mass density in the target method as the selection coefficient Xi corresponding to each placement method.

[0023] As a further solution of the present invention: The specific method for determining the recommended placement method is as follows:

[0024] Select the placement method with the largest selection coefficient Xi as the recommended placement method, and output the placement graphic guide corresponding to the recommended placement method. The placement graphic guide includes the specific placement positions and orders of each piece of goods to be transported.

[0025] As a further solution of the present invention: The specific method for calculating the weight distribution value of the mass density in the target method through the distribution value calculation formula is as follows:

[0026] Calculate the weight distribution value U of the mass density En, where Mp is the mean value of M1n, and Er is the mass density of the rth placement area, n≥r≥1.

[0027] As a further solution of the present invention: The specific method for obtaining the placement modes respectively corresponding to each packing algorithm of the goods to be transported in the packing module is as follows:

[0028] Multiply the length, width and height of the working vehicle's carriage, and denote it as the loading space of the working vehicle. List the dimensions of all goods to be transported, that is, length, width and height, to generate a Goods list. Under each packing algorithm, traverse each good to be transported in the Goods list, and try to put it into the Box. For each good to be transported, search for the available space in the loading space Box, and find a suitable position for placement.

[0029] As a further solution of the present invention: The packing algorithms include the best-fit algorithm, the first-fit algorithm and the bottom-down algorithm.

[0030] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0031] In the present invention, by calculating the total volume of the goods to be transported, and determining the lower limit value of the loading space of the required transport vehicle according to the reserved space, a suitable working vehicle is selected, and its loading space needs to be greater than or equal to the calculated lower limit value. Input the loading space of the selected working vehicle and the volume of each good to be transported into the packing module, simulate the placement modes through different packing algorithms, calculate the loading space utilization rate of each placement mode, select the placement mode with the highest space utilization rate and the most uniform weight distribution as the recommended placement mode, and output the corresponding placement graphic guide. Place each good to be transported according to the placement graphic guide of the recommended placement mode, so as to realize the visual management of the goods placement;

[0032] During the placement process, the loading personnel are allowed to make real-time adjustments according to special circumstances, record the adjusted placement positions, and update the loading progress and status in real time, so as to improve the loading efficiency and space utilization rate and reduce space waste. Description of the Drawings

[0033] The present invention will be further described below with reference to the drawings.

[0034] Figure 1 It is a schematic framework structure diagram of an intelligent measurement method for a pharmaceutical cold chain logistics loading container of the present invention;

[0035] Figure 2 It is a schematic division structure diagram of the loading space placement area of an intelligent measurement method for a pharmaceutical cold chain logistics loading container of the present invention. Detailed Embodiment

[0036] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention.

[0037] Embodiment 1

[0038] Please refer to Figure 1 - Figure 2 As shown, the present invention is an intelligent calculation method for a pharmaceutical cold chain logistics loading container, including the following steps:

[0039] Step 1: Obtain the volume of each cargo to be transported according to the product of the length, width, and height of each cargo to be transported, and determine the lower limit value of the loading space of the transport vehicle required.

[0040] Obtain the volume of each cargo to be transported through the length, width, and height of each cargo to be transported, take the sum of the volumes of each cargo to be transported as the volume to be transported, and obtain the lower limit value of the loading space of the transport vehicle according to the volume to be transported, that is, the sum between the volume to be transported and the preset reserved space. The specific value of the preset reserved space is determined by relevant staff according to actual needs. Select a transport vehicle that meets the requirements as the working vehicle according to the lower limit value of the loading space;

[0041] When selecting the working vehicle, it is necessary to ensure that the actual loading space of the working vehicle is greater than or equal to the lower limit value of the loading space;

[0042] Here, it is defaulted that each cargo to be transported is placed in an insulation box or a cardboard box, and the insulation box or the cardboard box is a regular cube. Furthermore, the insulation box or the cardboard box is used as the cargo to be transported, which is beneficial to the volume calculation and transportation of the cargo, and the volume of the insulation box or the cardboard box is used as the volume of the cargo to be transported. Calculate the volume of each cargo to be transported through the product of the length, width, and height of each cargo to be transported;

[0043] Take the sum of the volumes of each cargo to be transported as the volume to be transported, and determine a transport vehicle that meets the specifications for transportation according to the sum of the volume to be transported and the reserved space, which is beneficial to ensuring that the loading space of the selected transport vehicle can ensure that there is enough space to transport the cargo to be transported;

[0044] Illustrate with an example: Suppose there are 5 goods to be transported, with volumes of [10, 20, 15, 25, 30] cubic meters respectively, and the reserved space size is 10 cubic meters; First, calculate the total volume: 10 + 20 + 15 + 25 + 30 = 100 cubic meters; Then, calculate the lower limit value of the loading space of the transport vehicle required: 100 + 10 = 110 cubic meters. Therefore, a transport vehicle with a loading space greater than or equal to 110 cubic meters needs to be selected as the working vehicle;

[0045] Step 2: After selecting the working vehicle, obtain the loading space of the working vehicle, and input it into the packing module together with the volumes of each goods to be transported. Through each packing algorithm in the packing module, simulate the placement methods of each goods to be transported in the carriage of the working vehicle, obtain the placement methods corresponding to each packing algorithm in the packing module for the goods to be transported, and output the recommended placement methods to reduce space waste and maximize the loading efficiency of each insulated box. The specific method for generating the recommended placement methods is as follows;

[0046] Each packing algorithm in the packing module includes the best fit algorithm, the first fit algorithm, and the bottom - left packing algorithm. For the best fit algorithm, when placing each goods, by searching all possible placement positions and selecting the position that can minimize the remaining space, the packing algorithm is existing and an existing technology, so it will not be elaborated again;

[0047] For the first fit algorithm, place the goods sequentially from the starting position of the loading space until enough space to place the current goods is found; For the bottom - left packing algorithm, when placing goods, give priority to the bottom - left space, that is, the goods are always placed as far left and down as possible;

[0048] Denote the product of the length, width, and height of the carriage of the working vehicle as the loading space Box of the working vehicle. Record the placement methods of the goods to be transported under each packing algorithm and the remaining space in the loading space Box. Calculate the loading space utilization rate corresponding to each placement method, which is specifically calculated through the following formula:

[0049] L i=(H i / V)×100%, where L i is the loading space utilization rate of each placement method, H i is the remaining space in the loading space Box for each placement method, V is the size of the loading space Box, and i is the number corresponding to each placement method, i≥1;

[0050] H i refers to the size of the remaining space in the loading space Box when the same batch of goods to be transported adopts different placement methods in the same loading space Box. The larger the value of H i, the larger the remaining space, and vice versa. At the same time, the larger the ratio between the remaining space H i and the size of the loading space Box, the larger the loading space utilization rate of the corresponding placement method;

[0051] It should be noted that when the same batch of goods is placed in the loading space Box of the same working vehicle using different placement methods, due to each packing algorithm having its specific placement logic and strategy, different placement orders and directions result in different utilization rates of the loading space;

[0052] S1: Select a placement method as the target method, evenly divide the loading space of the working vehicle into n placement areas, and obtain the weights M1n of the goods to be transported corresponding to each placement area in the target method. n represents the number of corresponding placement areas, and n ≥ 1;

[0053] S2: The weights M1n of the goods to be transported corresponding to each placement area in the target method;

[0054] Obtain the mass density En corresponding to each placement area through the formula En = M1n / (V / n), and obtain the weight distribution value U of the mass density En through calculation, where Ep is the mean value of En, and Er is the mass density of the rth placement area, and n ≥ r ≥ 1;

[0055] S3: Repeat steps S1 - S2 to obtain the weight distribution values Ui corresponding to each placement method. The smaller the value of the weight distribution value Ui, the more evenly the weights of the goods to be transported are distributed in each placement area under the corresponding placement method. Conversely, the more uneven they are;

[0056] S4: Calculate the selection coefficient Xi corresponding to each placement method through the formula Xi = Li + (1 / Ui);

[0057] S5: Select the placement method with the largest selection coefficient Xi as the recommended placement method, and output the placement graphic guide corresponding to the recommended placement method. The placement graphic guide includes the specific placement positions and orders of each good to be transported;

[0058] Select the placement method with the highest space utilization rate and evenly distributed weights of the goods to be transported as the recommended placement method, which not only ensures the space utilization rate but also ensures the even distribution of weights in the loading space, avoiding overweight;

[0059] Step three: Place each good to be transported according to the placement graphic guide of the recommended placement method to achieve visual management of the goods placement, which is conducive to the loading personnel to refer to the goods according to the visual placement method;

[0060] It is beneficial to obtain the volume of goods to be transported based on the volume of each good to be transported, and select a transport vehicle with a compliant loading space as the working vehicle for loading and transportation according to the volume to be transported, avoiding the situation where the loading space of the transport vehicle is too small to hold the goods to be transported or too large, resulting in space waste when transporting the goods to be transported;

[0061] Step 4: When arranging each good to be transported according to the arrangement graphic guide of the recommended arrangement method, arrange the goods one by one, place them at the specified position and direction within the loading space. If special situations occur, such as slightly different goods sizes or obstacles inside the carriage, the loading personnel are allowed to make real-time adjustments, and record the adjusted arrangement positions. During the arrangement process, the loading progress and status are updated in real time, and the loading progress is monitored and displayed in the visualization tool, so as to achieve efficient and accurate goods arrangement. At the same time, the algorithm also allows the loading personnel to make real-time adjustments in case of special situations, improving the flexibility and adaptability of the entire loading process;

[0062] Calculate the total volume of the goods to be transported, determine the lower limit value of the loading space of the required transport vehicle according to the reserved space, select a suitable working vehicle, the loading space of which should be greater than or equal to the calculated lower limit value. Input the loading space of the selected working vehicle and the volume of each good to be transported into the packing module, simulate the arrangement methods through different packing algorithms, calculate the loading space utilization rate of each arrangement method, select the arrangement method with the highest space utilization rate and the most uniform weight distribution as the recommended arrangement method, and output the corresponding arrangement graphic guide. Arrange each good to be transported according to the arrangement graphic guide of the recommended arrangement method to realize the visual management of goods arrangement;

[0063] During the arrangement process, the loading personnel are allowed to make real-time adjustments according to special situations, record the adjusted arrangement positions, and update the loading progress and status in real time. Improve the loading efficiency and space utilization rate, and reduce space waste.

[0064] Embodiment 2

[0065] As Embodiment 2 of the present invention, when the present application is specifically implemented, compared with Embodiment 1, the technical solution of this embodiment is only different from that of Embodiment 1 in that in this embodiment,

[0066] The specific method for obtaining the arrangement methods respectively corresponding to each packing algorithm of the goods to be transported in the packing module is:

[0067] Denote the product of the length, width, and height of the working vehicle's carriage as the loading space Box of the working vehicle. List the dimensions of all goods to be transported, i.e., length, width, and height, to generate a Goods list. Sort the Goods list according to the dimensions of all goods to be transported. Common sorting strategies include: descending order of volume: prioritize placing goods with larger volumes; descending order of base area: prioritize placing goods with larger base areas, which helps reduce space fragmentation.

[0068] Under each packing algorithm, traverse each good in the Goods list and try to place it into Box. For each good to be transported, search for available space in the loading space Box and find a suitable position for placement. This can be achieved by traversing each position in the loading space Box and checking whether the position can fully accommodate the current good. If a suitable position is found, place the good into the loading space Box and update the remaining space information of the loading space Box. If no suitable position is found, it is necessary to consider rearranging the goods that have already been placed or adjusting the placement direction of the current good to try to find new space. Under each packing algorithm, record the placement methods of all goods, including their positions, directions, etc. in the loading space Box, so as to obtain the corresponding placement methods of the goods to be transported under each packing algorithm in the packing module.

[0069] Using an intelligent packing algorithm to determine the placement method of goods in a pharmaceutical cold chain logistics loading container can bring many benefits, including improving space utilization, optimizing goods stability, ensuring temperature control, improving loading efficiency, real-time monitoring and adjustment, promoting logistics automation, strong adaptability, and data-driven decision-making.

[0070] Embodiment III

[0071] As Embodiment III of the present invention, when this application is specifically implemented, compared with Embodiment I and Embodiment II, the technical solution of this embodiment lies in combining and implementing the solutions of the above Embodiment I and Embodiment II.

[0072] The above formulas are all dimensionless and take their numerical values for calculation. The formulas are obtained by collecting a large amount of data for software simulation to obtain a formula that is closest to the actual situation. The preset parameters and threshold selection in the formulas are set by those skilled in the art according to the actual situation.

[0073] The above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art within the technical scope disclosed by this application can easily think of changes or substitutions, which should all be covered within the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

Claims

1. An intelligent calculation method for loading containers of pharmaceutical cold chain logistics, characterized in that: The following steps are involved: Step 1: According to the volume of each cargo to be transported, the total volume of the cargo to be transported is obtained, and according to the total volume of the cargo to be transported and the preset reserved space size, the working vehicle is determined; Step 2: Using each packing algorithm, according to the loading space of the working vehicle and the volume of each cargo to be transported, simulate the placement of the cargo to be transported under each packing algorithm in the packing module; Step 3: Obtain the selection coefficients corresponding to each placement method according to the loading space utilization rate and weight distribution value of each placement method, and determine the recommended placement method according to the selection coefficients corresponding to each placement method; Step 4: Place the goods to be transported one by one in the designated location and direction according to the placement graphic guidance of the recommended placement method; The specific method for obtaining the weight distribution value corresponding to each placement method is: S1: After selecting a target placement method, first divide the loading space of the working vehicle evenly into n placement areas, then record the total weight of the goods to be transported in each placement area under the target placement method as M1n, where n represents the number of the placement area, calculate the mass density En of each placement area, and calculate the weight distribution value U of the mass density under the target method through the distribution value calculation formula, where n represents the number of the placement area, and n≥1; S2: Repeat steps S1-S2 to obtain the weight distribution values ​​Ui corresponding to each placement mode; The specific method for calculating the weight distribution value of mass density under the target mode is: pass , calculate the weight distribution value U of the mass density En, where Ep is the mean value of En, Er is the mass density of the rth placement area, n≥r≥1.

2. According to claim 1, a method for intelligently calculating the loading container of a pharmaceutical cold chain logistics system, characterized in that: The specific method for determining the working vehicle is: The volume of each cargo is calculated based on the product of its length, width and height, and the volumes of each cargo are added together to obtain the total volume of the cargo to be transported. Based on the total volume of the cargo to be transported and the preset reserved space size, the lower limit of the loading space of the required transport vehicle is determined, and a transport vehicle that meets the lower limit of the loading space is selected as the working vehicle.

3. The intelligent calculation method for loading containers of pharmaceutical cold chain logistics according to claim 2 is characterized in that: The specific method for calculating the loading space utilization rate corresponding to each placement method is: Multiply the ratio of the remaining space in the loading space of each placement method to the size of the loading space by 100% to obtain the loading space utilization rate Li corresponding to each placement method, where i is the number corresponding to each placement method, i≥1, and the product of the length, width and height of the working vehicle compartment is recorded as the loading space size of the working vehicle.

4. The intelligent calculation method for loading containers of pharmaceutical cold chain logistics according to claim 1 is characterized in that: The specific method for obtaining the mass density corresponding to each placement area under the target mode is: The weight M1n of the goods to be transported in each placement area under the target mode is calculated by the formula En=M1n / (V / n) to obtain the mass density En corresponding to each placement area, where V is the size of the loading space.

5. The intelligent calculation method for loading containers of pharmaceutical cold chain logistics according to claim 4 is characterized in that: The specific method for obtaining the selection coefficients corresponding to each placement method is: The ratio between the loading space utilization rate under each placement mode and the inverse of the weight distribution value U of the mass density under the target mode is marked as the selection coefficient Xi corresponding to each placement mode.

6. The intelligent calculation method for loading containers of pharmaceutical cold chain logistics according to claim 5 is characterized in that: The specific method for determining the recommended placement method is: The placement method with the largest coefficient Xi is selected as the recommended placement method, and the placement graphic guidance corresponding to the recommended placement method is output, and the placement graphic guidance includes the specific placement position and order of each cargo to be transported.

7. The intelligent calculation method for loading containers of pharmaceutical cold chain logistics according to claim 1 is characterized in that: The specific method of obtaining the corresponding placement of the goods to be transported under each packing algorithm in the packing module is as follows: The product of the length, width and height of the working vehicle's compartment is recorded as the loading space of the working vehicle. The dimensions of all the goods to be transported, namely the length, width and height, are listed to generate a Goods list. Under each packing algorithm, each good to be transported in the Goods list is traversed and tried to be put into the Box. For each good to be transported, the available space in the loading space Box is searched to find a suitable position for placement.

8. The intelligent calculation method for loading containers of pharmaceutical cold chain logistics according to claim 7 is characterized in that: The bin packing algorithms include the best fit algorithm, the first fit algorithm, and the lower bin packing algorithm.

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