A method of enterprise supply chain management based on large model

Abstract

The invention discloses an enterprise supply chain management method based on a large model, and relates to the technical field of supply chain management. The invention comprises: step 1. cold chain transport path acquisition, step 2. cold chain segment weather analysis, step 3. cold chain vehicle interior environment analysis, step 4. cold chain transport power consumption and pollution analysis, and step 5. path selection. The invention analyzes the road conditions of a BGA chip in a cold chain transport process to obtain the bump threat coefficient of each cold chain transport path to the BGA chip, thereby reducing damage to the BGA chip, and predicts the estimated transport time of each cold chain transport path according to the weather type and vehicle flow at the departure time point of each road segment to which each cold chain transport path belongs, and accordingly analyzes the power consumption coefficient and pollution environment coefficient of each cold chain transport path, so that when selecting a target cold chain transport path, both power consumption and environmental pollution are taken into consideration.

Description

Technical Field

[0001] The present invention relates to the technical field of supply chain management, and in particular to an enterprise supply chain management method based on a large model. Background Art

[0002] BGA chip transportation is the most important part of supply chain management for technology companies. Cold chain transportation is a common method of BGA chip supply chain transportation. However, in the process of cold chain transportation, BGA chips are easily damaged due to unreasonable temperature and humidity settings, bumpy roads and other problems. Once BGA chips are damaged, they are difficult to repair, which brings losses to the company. The big model can analyze a large amount of past data, which is conducive to obtaining effective references for current choices. Therefore, it is necessary to use the big model to analyze the BGA cold chain transportation route.

[0003] The existing technology can basically meet the current needs, but there are still certain defects, which are specifically manifested in the following aspects: (1) The existing technology lacks analysis of the degree of bumps in the road conditions during the cold chain transportation of BGA chips. During the cold chain transportation, due to the road conditions, the cold chain vehicle cannot completely avoid bumps. After the BGA chips are packaged, there will still be some space on the top. Due to the bumps of the cold chain vehicle, it is easy for the BGA chips to be thrown into the air and then fall down. When the solder balls of the BGA chips are dropped, if the impact force generated exceeds the maximum stress that the solder balls can withstand, the solder balls of the BGA chips will be damaged, and these damages are difficult to detect. Generally, failures will only occur during the use of the BGA chips, thereby increasing the failure rate of equipment using BGA chips, reducing customers' trust in the company, and causing losses to the company's property.

[0004] (2) The existing technology lacks a certain degree of attention to the dynamic adjustment of the temperature and humidity inside the vehicle. During the actual transportation process of the cold chain vehicle, the ambient temperature and humidity of the transportation will change continuously due to the weather type. If the temperature and humidity inside the vehicle are not adjusted in time, the static electricity in the vehicle will easily increase, increasing the probability of BGA chips being broken down by static electricity, reducing the safety of BGA chips, reducing the factory efficiency of the enterprise, delaying the delivery of the enterprise's equipment, thereby reducing the cooperation intention of customers and enterprises. In addition, in the process of adjusting the ambient temperature and humidity, the power consumption of the cold chain transportation will increase, thereby increasing the cost of cold chain transportation and increasing the economic burden of the enterprise.

[0005] (3) Existing technologies lack a certain degree of attention to the analysis of environmental pollution during cold chain transportation. A large amount of Freon is used during cold chain transportation, and cold chain vehicles cannot completely avoid the leakage of Freon, resulting in environmental deterioration along the transportation routes. For transportation routes with low greening rates, the leaked Freon will seriously pollute the environment, thereby damaging the environment and exacerbating the greenhouse effect. Summary of the invention

[0006] The purpose of the present invention is to provide an enterprise supply chain management method based on a large model, which solves the problems existing in the background technology.

[0007] To solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides an enterprise supply chain management method based on a large model, including: Step 1. Acquisition of cold chain transportation routes: When cold chain transportation of BGA chips is required, the departure time point and each cold chain transportation route are obtained from the local database, and each section of each cold chain transportation route is obtained.

[0008] Step 2. Weather analysis of cold chain sections: obtain the weather type at the departure time of the first section of each cold chain transport route from the Meteorological Bureau, obtain the vehicle flow at the departure time of the first section of each cold chain transport route on each historical day from the Transportation Bureau, calculate the estimated transportation time of the first section of each cold chain transport route, and analyze the estimated transportation time of each section of each cold chain transport route in turn.

[0009] Step 3. Cold chain vehicle interior environment analysis: Obtain the average external environment temperature and humidity at the departure time of each section of each cold chain transportation route from the Meteorological Bureau, obtain the in-vehicle environmental static value of each section of each cold chain transportation route at each historical departure time from the local database, obtain the chassis horizontal height of each cold chain transportation route at each historical monitoring time point, and evaluate the bump threat coefficient δ of each cold chain transportation route to BGA chips x , where x is the number of each cold chain transport path, x=1,2,…,y, y is a positive integer greater than 2, and the transport temperature and humidity values ​​of each section of each cold chain transport path are analyzed;

[0010] Step 4. Cold chain transportation power consumption and pollution analysis: Evaluate the power consumption coefficient μ of each cold chain transportation path x , obtain the remaining amount of Freon after cold chain vehicles have been transported on each historical road section from the local database, and analyze the environmental pollution coefficient of exhaust gas emitted by cold chain vehicles on each cold chain transportation route ;

[0011] Step 5. Path selection: Calculate the recommendation coefficient of each cold chain transport path to obtain the target cold chain transport path, and send the target cold chain transport path to the driver of this cold chain transport.

[0012] Preferably, the estimated transportation time of the first section of each cold chain transportation path is calculated by: obtaining the distance length α of the first section of each cold chain transportation path from the local database x , the weather type of each historical transportation, the average driving speed of each historical transportation and the vehicle flow of each historical transportation, and obtain the allowed driving speed range of each weather type, and extract the maximum allowed driving speed of each weather type;

[0013] According to the weather type at the departure time of the first section of each cold chain transportation route, the maximum allowable driving speed d of the weather type at the departure time of the first section of each cold chain transportation route is analyzed. x ;

[0014] Based on the weather type of each historical transportation of the first section of each cold chain transportation path, and combined with the weather type at the departure time of the first section of each cold chain transportation path, obtain each historical transportation of the same weather type of the first section of each cold chain transportation path, and extract the maximum allowable driving speed f of each historical transportation of the same weather type of the first section of each cold chain transportation path xi , where i is the number of each historical transport, i=1,2,…,j, j is a positive integer greater than 2;

[0015] According to the automobile flow of each historical transportation of the first section of each cold chain transportation route, the automobile flow of each historical transportation of the same weather type in the first section of each cold chain transportation route is extracted. xi According to the average driving speed of each historical transportation of the first section of each cold chain transportation route, the average driving speed of each historical transportation of the same weather type in the first section of each cold chain transportation route is extracted. xi ;

[0016] Based on the vehicle flow l at the departure time of each historical day of the first section of each cold chain transport route xn , where n is the number of each historical day, n=1,2,…,m, m is a positive integer greater than 2, and the estimated transportation time of the first section of each cold chain transportation route is calculated , where j is the number of historical transportations and m is the total number of historical days.

[0017] Preferably, the estimated transportation time of each section of each cold chain transportation path is analyzed, and the specific analysis method is: based on the estimated transportation time of the first section of each cold chain transportation path and in combination with the departure time point, the arrival time point of the first section of each cold chain transportation path is calculated, and it is marked as the departure time point of the second section of each cold chain transportation path;

[0018] Obtain the weather type at the departure time of the second section of each cold chain transport route from the Meteorological Bureau, and calculate the estimated transportation time of the second section of each cold chain transport route based on the method for calculating the estimated transportation time of the first section of each cold chain transport route, and so on, so as to calculate the estimated transportation time of each section of each cold chain transport route.

[0019] Preferably, the bump threat coefficient of each cold chain transportation path to the BGA chip is evaluated by a specific analysis method as follows: the road surface level k of each cold chain transportation path at each historical monitoring time point is obtained from the map platform. xt , where t is the number of each historical monitoring time point, t=1,2,…,s, s is a positive integer greater than 2;

[0020] Obtain the number of BGA chips r transported this time, the maximum acceptable stress u of the solder balls of the corresponding BGA chips specified by the original manufacturer, and the gravity acceleration g at each historical monitoring time point of each cold chain transportation route from the local database xt , the mass v of a single chip and the predefined time w for the kinetic energy of the chip to disappear when it falls;

[0021] According to the chassis horizontal height h at each historical monitoring time point of each cold chain transportation route xt , calculate the relative height difference ε of each historical monitoring time point of each cold chain transportation path xt =h xt -k xt ;

[0022] Calculate the impact force on a single BGA chip at each historical monitoring time point of each cold chain transportation path , where ε x(t-1) It is expressed as the relative height difference of the t-1th historical monitoring time point of the xth cold chain transportation path;

[0023] Evaluate the bump threat coefficient of each cold chain transportation route to BGA chips , where s is the number of historical monitoring time points and y is the number of cold chain transportation paths.

[0024] Preferably, the transport temperature value and the transport humidity value of each section of each cold chain transport path are analyzed, and the specific analysis method is: according to the in-vehicle environmental static value of each section of each cold chain transport path at each historical departure time point, and in combination with the number of BGA chips transported this time, extract the in-vehicle environmental static value E of each section of each cold chain transport path at each historical departure time point with the same number of BGA chips transported xpN , where N is each historical departure time point, N=1,2,…,M, M is a positive integer greater than 2;

[0025] Obtain the suitable storage temperature range, suitable storage humidity range and predefined maximum tolerable static value H of the BGA chip from the local database, and extract the minimum value A of the suitable storage temperature range and the minimum value B of the suitable storage humidity range of the BGA chip;

[0026] According to the average external environment temperature C at the departure time of each section of each cold chain transportation route xp , where p is the number of each section, p=1,2,…,q, q is a positive integer greater than 2, and the transportation temperature values ​​of each section of each cold chain transportation route are analyzed ;

[0027] According to the average humidity D of the external environment at the departure time of each section of each cold chain transportation route xp , analyze the transport humidity values ​​of each section of each cold chain transport route .

[0028] Preferably, the power consumption coefficient of each cold chain transportation path is evaluated, and the specific calculation method is: obtaining the distance length R of each section of each cold chain transportation path from the local database xp ;

[0029] According to the transportation temperature value φ of each section of each cold chain transportation route xp and transport humidity value λ xp , and based on the average external environment temperature C at the departure time of each section of each cold chain transportation route xp and the average humidity of the external environment D xp , evaluate the power consumption coefficient of each cold chain transportation path .

[0030] Preferably, the environmental pollution coefficient of the exhaust gas emitted by the cold chain vehicles on each cold chain transportation route is analyzed by the following specific analysis method: the initial total amount of Freon T of the cold chain vehicle, the transportation time G of the cold chain vehicle in each historical section of transportation are obtained from the local database. l , the weather type when the cold chain vehicle was transported on each historical section, the remaining amount of freon before the cold chain vehicle was transported on each historical section, and the greening rate k of each cold chain transportation route x , the amount of Freon absorbed by the unit greening rate L, where l is the number of the historical road section transportation, l=1,2,…,z, z is a positive integer greater than 2;

[0031] Based on the weather type of the cold chain vehicle during each historical road section transportation, and combined with the weather type at the departure time of the first road section of each cold chain transportation route, the cold chain vehicle transportation in each historical road section with the same weather type in the first road section is screened, and the remaining amount of freon A' after the cold chain vehicle transportation in each historical road section with the same weather type in the first road section is extracted B' The remaining amount of Freon before transportation in each historical section with the same weather type C'B' , where B' is the number of historical road section transportation of the same weather type, B'=1,2,…,D', D' is a positive integer greater than 2;

[0032] According to the remaining amount of Freon F after the cold chain vehicle was transported in each historical section l , and based on the remaining amount of Freon before the cold chain vehicle was transported on each historical section l , calculate the Freon leakage adjustment coefficient of the cold chain vehicle in the first section , where D' is the number of historical road section transports of the same weather type, and z is the number of historical transports;

[0033] Similarly, the Freon leakage adjustment coefficient of the cold chain vehicle in each section of each cold chain transportation route is calculated;

[0034] The leakage adjustment parameter intervals of each Freon and their corresponding leakage adjustment parameter values ​​are obtained from the local database, and the leakage adjustment parameter coefficients of each section of each cold chain transportation path are compared with the leakage adjustment parameter intervals of each Freon. If the leakage adjustment parameter coefficient of a certain section of a cold chain transportation path is included in a certain Freon leakage adjustment parameter interval, the leakage adjustment parameter value corresponding to the Freon leakage adjustment parameter interval is marked as the leakage adjustment parameter value of the section of the cold chain transportation path, thereby screening the leakage adjustment parameter values ​​of each section of the cold chain transportation path, and counting the leakage adjustment parameter values ​​of each section of each cold chain transportation path. xp ;

[0035] According to the estimated transportation time Y of each section of each cold chain transportation route xp , estimate the amount of Freon leakage in each cold chain transportation route , where F' is the remaining amount of Freon after the cold chain vehicle was transported on the last historical section;

[0036] Analyze the environmental pollution coefficient of exhaust gas emitted by cold chain vehicles on each cold chain transportation route .

[0037] Preferably, the specific calculation formula for calculating the recommended coefficient of each cold chain transportation path is: , where y is the number of cold chain transportation paths.

[0038] The beneficial effects of the present invention are as follows: (1) The present invention monitors the bumpiness of the road section by comparing the relative difference between the chassis height and the road surface height, and calculates the impact force on a single BGA chip at each historical monitoring time point of each cold chain transportation path, thereby evaluating the bumpiness threat coefficient of each cold chain transportation path to the BGA chip. When selecting a target cold chain transportation path, the bumpiness threat coefficient is used as an important reference indicator to reduce the possibility of damage to the solder balls of the BGA chip, thereby reducing the failure rate of equipment using the BGA chip, improving customer trust in the enterprise, and reducing property losses to the enterprise.

[0039] (2) The present invention analyzes the transportation temperature and humidity of each section of each cold chain transportation path through the in-vehicle environmental static value of each section of each cold chain transportation path at each historical departure time point, and performs dynamic adjustment based on the previous in-vehicle environmental static value and the current ambient temperature and humidity, thereby reducing the in-vehicle environmental static value, reducing the probability of BGA chips being broken down by static electricity, improving the safety of BGA chips, improving the factory efficiency of the enterprise, and ensuring the delivery time of the enterprise's equipment, thereby increasing the cooperation intention between customers and the enterprise. The power consumption generated in this process will be used as an important indicator for selecting the target cold chain transportation path, while ensuring the safety of BGA chips, reducing the cost of cold chain transportation and reducing the economic burden of the enterprise.

[0040] (3) The present invention analyzes the environmental pollution coefficient of exhaust gas emitted by cold chain vehicles on each cold chain transportation route based on the residual amount of Freon after cold chain vehicles have been transported on each historical road section and the greening rate of the cold chain transportation route. When selecting the target cold chain transportation route, the environmental pollution coefficient is used as an important reference indicator to reduce the deterioration of the environment caused by the Freon leakage of cold chain vehicles, thereby protecting the environment and reducing the aggravation of the greenhouse effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0042] Figure 1 It is a schematic diagram of the method flow of the present invention. DETAILED DESCRIPTION

[0043] 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.

[0044] Reference Figure 1 As shown, the present invention provides an enterprise supply chain management method based on a large model, including: Step 1. Acquisition of cold chain transportation routes: When cold chain transportation of BGA chips is required, the departure time point and each cold chain transportation route are obtained from the local database, and each section of each cold chain transportation route is obtained.

[0045] Step 2. Weather analysis of cold chain sections: obtain the weather type at the departure time of the first section of each cold chain transport route from the Meteorological Bureau, obtain the vehicle flow at the departure time of the first section of each cold chain transport route on each historical day from the Transportation Bureau, calculate the estimated transportation time of the first section of each cold chain transport route, and analyze the estimated transportation time of each section of each cold chain transport route in turn.

[0046] In a specific embodiment of the present invention, the estimated transportation time of the first section of each cold chain transportation path is calculated by: obtaining the distance length a of the first section of each cold chain transportation path from the local database. x , the weather type of each historical transportation, the average driving speed of each historical transportation and the vehicle flow of each historical transportation, and obtain the allowed driving speed range of each weather type, and extract the maximum allowed driving speed of each weather type.

[0047] According to the weather type at the departure time of the first section of each cold chain transportation route, the maximum allowable driving speed d of the weather type at the departure time of the first section of each cold chain transportation route is analyzed. x .

[0048] Based on the weather type of each historical transportation of the first section of each cold chain transportation path, and combined with the weather type at the departure time of the first section of each cold chain transportation path, obtain each historical transportation of the same weather type of the first section of each cold chain transportation path, and extract the maximum allowable driving speed f of each historical transportation of the same weather type of the first section of each cold chain transportation path xi , where i is the number of each historical transportation, i=1,2,…,j, j is a positive integer greater than 2.

[0049] According to the automobile flow of each historical transportation of the first section of each cold chain transportation route, the automobile flow of each historical transportation of the same weather type in the first section of each cold chain transportation route is extracted. xi According to the average driving speed of each historical transportation of the first section of each cold chain transportation route, the average driving speed of each historical transportation of the same weather type in the first section of each cold chain transportation route is extracted. xi。

[0050] Based on the vehicle flow l at the departure time of each historical day of the first section of each cold chain transport route xn , where n is the number of each historical day, n=1,2,…,m, m is a positive integer greater than 2, and the estimated transportation time of the first section of each cold chain transportation route is calculated , where j is the number of historical transportations and m is the total number of historical days.

[0051] In a specific embodiment, the method for obtaining the allowed speed range for each weather type is as follows: obtaining the allowed speed range for each weather type from a traffic management platform.

[0052] In a specific embodiment of the present invention, the estimated transportation time of each section belonging to each cold chain transportation path is analyzed, and the specific analysis method is: based on the estimated transportation time of the first section belonging to each cold chain transportation path and combined with the departure time point, the arrival time point of the first section belonging to each cold chain transportation path is calculated, and it is marked as the departure time point of the second section belonging to each cold chain transportation path.

[0053] Obtain the weather type at the departure time of the second section of each cold chain transport route from the Meteorological Bureau, and calculate the estimated transportation time of the second section of each cold chain transport route based on the method for calculating the estimated transportation time of the first section of each cold chain transport route, and so on, so as to calculate the estimated transportation time of each section of each cold chain transport route.

[0054] Step 3. Cold chain vehicle interior environment analysis: Obtain the average external environment temperature and humidity at the departure time of each section of each cold chain transportation route from the Meteorological Bureau, obtain the in-vehicle environmental static value of each section of each cold chain transportation route at each historical departure time from the local database, obtain the chassis horizontal height of each cold chain transportation route at each historical monitoring time point, and evaluate the bump threat coefficient δ of each cold chain transportation route to BGA chips x , where x is the number of each cold chain transport path, x=1,2,…,y, y is a positive integer greater than 2, and the transport temperature and humidity values ​​of each section of each cold chain transport path are analyzed.

[0055] The local database is used to store the static value of the vehicle environment at each historical departure time point of each section of each cold chain transportation route, the remaining amount of freon after the cold chain vehicle transports each historical section, the distance of each section of each cold chain transportation route, the weather type of each historical transportation, the average driving speed of each historical transportation and the vehicle flow of each historical transportation, the number r of BGA chips transported this time, the maximum acceptable stress of the solder ball of the corresponding BGA chip specified by the original manufacturer, the gravity acceleration at each historical monitoring time point of each cold chain transportation route, the mass of a single chip, and the predicted The defined time it takes for the kinetic energy of the chip to disappear when it falls, the suitable storage temperature range of the BGA chip, the suitable storage humidity range, the predefined maximum tolerable static electricity value, the length of each section of each cold chain transportation route, the initial total amount of Freon of the cold chain vehicle, the transportation time of the cold chain vehicle in each historical section, the weather type when the cold chain vehicle was transported in each historical section, the remaining amount of Freon before the cold chain vehicle was transported in each historical section, the greening rate of each cold chain transportation route, the absorption of Freon per unit greening rate, the leakage adjustment coefficient range of each Freon and its corresponding leakage adjustment parameter value.

[0056] In a specific embodiment of the present invention, the bump threat coefficient of each cold chain transportation path to the BGA chip is evaluated by a specific analysis method as follows: the road surface level k of each cold chain transportation path at each historical monitoring time point is obtained from the map platform. xt , where t is the number of each historical monitoring time point, t=1,2,…,s, and s is a positive integer greater than 2.

[0057] Obtain the number of BGA chips r transported this time, the maximum acceptable stress u of the solder balls of the corresponding BGA chips specified by the original manufacturer, and the gravity acceleration g at each historical monitoring time point of each cold chain transportation route from the local database xt , the mass v of a single chip and the predefined time w for the kinetic energy of the chip to disappear when it falls.

[0058] According to the chassis horizontal height h at each historical monitoring time point of each cold chain transportation route xt , calculate the relative height difference ε of each historical monitoring time point of each cold chain transportation path xt =h xt -k xt。

[0059] Calculate the impact force on a single BGA chip at each historical monitoring time point of each cold chain transportation path , where ε x(t-1) It is expressed as the relative height difference of the t-1th historical monitoring time point of the xth cold chain transportation path.

[0060] Evaluate the bump threat coefficient of each cold chain transportation route to BGA chips , where s is the number of historical monitoring time points and y is the number of cold chain transportation paths.

[0061] The present invention monitors the bumpiness of the road section by comparing the relative difference between the chassis height and the road surface height, and calculates the impact force on a single BGA chip at each historical monitoring time point of each cold chain transportation path, thereby evaluating the bump threat coefficient of each cold chain transportation path to the BGA chip. When selecting a target cold chain transportation path, the bump threat coefficient is used as an important reference indicator to reduce the possibility of damage to the solder balls of the BGA chip, thereby reducing the failure rate of equipment using the BGA chip, improving customers' trust in the enterprise, and reducing property losses to the enterprise.

[0062] In a specific embodiment of the present invention, the transportation temperature value and the transportation humidity value of each section of each cold chain transportation path are analyzed, and the specific analysis method is: according to the in-vehicle environmental static value of each section of each cold chain transportation path at each historical departure time point, and combined with the number of BGA chips transported this time, the in-vehicle environmental static value E of each section of each cold chain transportation path at each historical departure time point with the same number of BGA chips transported is extracted. xpN , where N is each historical departure time point, N=1,2,…,M, and M is a positive integer greater than 2.

[0063] The suitable storage temperature range, suitable storage humidity range and predefined maximum tolerable static value H of the BGA chip are obtained from the local database, and the minimum value A of the suitable storage temperature range and the minimum value B of the suitable storage humidity range of the BGA chip are extracted.

[0064] According to the average external environment temperature C at the departure time of each section of each cold chain transportation route xp , where p is the number of each section, p=1,2,…,q, q is a positive integer greater than 2, and the transportation temperature values ​​of each section of each cold chain transportation route are analyzed .

[0065] According to the average humidity D of the external environment at the departure time of each section of each cold chain transportation route xp , analyze the transport humidity values ​​of each section of each cold chain transport route .

[0066] Step 4. Cold chain transportation power consumption and pollution analysis: Evaluate the power consumption coefficient μ of each cold chain transportation path x , obtain the remaining amount of Freon after cold chain vehicles have been transported on each historical section from the local database, and analyze the environmental pollution coefficient of exhaust gas emitted by cold chain vehicles on each cold chain transportation route .

[0067] In a specific embodiment of the present invention, the power consumption coefficient of each cold chain transportation path is evaluated, and the specific calculation method is as follows: the length R of each section of each cold chain transportation path is obtained from the local database. xp。

[0068] According to the transportation temperature value φ of each section of each cold chain transportation route xp and transport humidity value λ xp , and based on the average external environment temperature C at the departure time of each section of each cold chain transportation route xp and the average humidity of the external environment D xp , evaluate the power consumption coefficient of each cold chain transportation path .

[0069] The present invention analyzes the transportation temperature value and transportation humidity value of each section of each cold chain transportation path through the in-vehicle environmental static value of each section of each cold chain transportation path at each historical departure time point, and performs dynamic adjustment based on the previous in-vehicle environmental static value and the current ambient temperature and humidity, thereby reducing the in-vehicle environmental static value, reducing the probability of BGA chips being broken down by static electricity, improving the safety of BGA chips, improving the factory efficiency of the enterprise, ensuring the delivery time of the enterprise's equipment, and thus increasing the cooperation intention between customers and enterprises. The power consumption generated in this process will be used as an important indicator for selecting the target cold chain transportation path, while ensuring the safety of BGA chips, reducing the cost of cold chain transportation and reducing the economic burden of enterprises.

[0070] In a specific embodiment of the present invention, the environmental pollution coefficient of the exhaust gas emitted by the cold chain vehicles on each cold chain transportation path is analyzed by a specific analysis method: the initial total amount of freon T of the cold chain vehicle, the transportation time G of the cold chain vehicle in each historical section of transportation are obtained from the local database. l , the weather type when the cold chain vehicle was transported on each historical section, the remaining amount of freon before the cold chain vehicle was transported on each historical section, and the greening rate k of each cold chain transportation route x , the amount of Freon absorbed by unit greening rate L, where l is the number of the historical road transportation section, l=1,2,…,z, z is a positive integer greater than 2.

[0071] Based on the weather type of the cold chain vehicle during each historical road section transportation, and combined with the weather type at the departure time of the first road section of each cold chain transportation route, the cold chain vehicle transportation in each historical road section with the same weather type in the first road section is screened, and the remaining amount of freon A' after the cold chain vehicle transportation in each historical road section with the same weather type in the first road section is extracted B' The remaining amount of Freon before transportation in each historical section with the same weather type C' B' , where B' is the number of historical road transport sections of the same weather type, B'=1,2,…,D', and D' is a positive integer greater than 2.

[0072] According to the remaining amount of Freon F after the cold chain vehicle was transported in each historical section l , and based on the remaining amount of Freon before the cold chain vehicle was transported on each historical section l , calculate the Freon leakage adjustment coefficient of the cold chain vehicle in the first section , where D' is the number of historical road section transports of the same weather type, and z is the number of historical transports.

[0073] Similarly, calculate the Freon leakage adjustment coefficient of the cold chain vehicle in each section of each cold chain transportation route.

[0074] The leakage adjustment parameter intervals of each Freon and their corresponding leakage adjustment parameter values ​​are obtained from the local database, and the leakage adjustment parameter coefficients of each section of each cold chain transportation path are compared with the leakage adjustment parameter intervals of each Freon. If the leakage adjustment parameter coefficient of a certain section of a cold chain transportation path is included in a certain Freon leakage adjustment parameter interval, the leakage adjustment parameter value corresponding to the Freon leakage adjustment parameter interval is marked as the leakage adjustment parameter value of the section of the cold chain transportation path, thereby screening the leakage adjustment parameter values ​​of each section of the cold chain transportation path, and counting the leakage adjustment parameter values ​​of each section of each cold chain transportation path. xp。

[0075] According to the estimated transportation time Y of each section of each cold chain transportation route xp , estimate the amount of Freon leakage in each cold chain transportation route , where F' is the remaining amount of Freon after the cold chain vehicle has been transported on the last historical road section.

[0076] Analyze the environmental pollution coefficient of exhaust gas emitted by cold chain vehicles on each cold chain transportation route .

[0077] It should be noted that the greening rate k of each cold chain transportation path is x , obtain the total length P of green plant cultivation for each cold chain transportation path from the urban planning platform x , and based on the total length Q of each cold chain transport path x , calculate the greening rate of each cold chain transportation path If the total length of a cold chain transport route is 100km, and green plants are cultivated in sections with lengths of 5km, 10km, and 8km on the cold chain transport route, the total length of green plant cultivation on the cold chain transport route is 23km, and the greening rate of the cold chain transport route is 23%.

[0078] The present invention is based on the residual amount of Freon after cold chain vehicles have been transported on each historical road section, and combined with the greening rate of the cold chain transportation route, analyzes the environmental pollution coefficient of exhaust gas emitted by cold chain vehicles on each cold chain transportation route. When selecting the target cold chain transportation route, the environmental pollution coefficient is used as an important reference indicator to reduce the deterioration of the environment caused by the Freon leakage problem of cold chain vehicles, thereby protecting the environment and reducing the aggravation of the greenhouse effect.

[0079] Step 5. Path selection: Calculate the recommendation coefficient of each cold chain transport path to obtain the target cold chain transport path, and send the target cold chain transport path to the driver of this cold chain transport.

[0080] In a specific embodiment of the present invention, the recommended coefficient of each cold chain transportation path is calculated, and the specific calculation formula is: , where y is the number of cold chain transportation paths.

[0081] In a specific embodiment, the target cold chain transport path is obtained by sorting the cold chain transport paths from large to small according to the recommendation coefficient, thereby obtaining the sorted cold chain transport paths, and marking the first cold chain transport path as the target cold chain transport path.

[0082] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A large model-based enterprise supply chain management method, characterized in that: include: Step 1. Acquisition of cold chain transport routes: When cold chain transport of BGA chips is required, the departure time point, each cold chain transport route, and each section of each cold chain transport route are obtained from the local database; Step 2. Weather analysis of cold chain sections: obtain the weather type at the departure time of the first section of each cold chain transportation route from the Meteorological Bureau, obtain the vehicle flow at the departure time of each historical day of the first section of each cold chain transportation route from the Transportation Bureau, calculate the estimated transportation time of the first section of each cold chain transportation route, and analyze the estimated transportation time of each section of each cold chain transportation route in turn; Step 3. Cold chain vehicle interior environment analysis: Obtain the average external environment temperature and humidity at the departure time of each section of each cold chain transportation route from the Meteorological Bureau, obtain the in-vehicle environmental static value of each section of each cold chain transportation route at each historical departure time from the local database, obtain the chassis horizontal height of each cold chain transportation route at each historical monitoring time point, and evaluate the bump threat coefficient δ of each cold chain transportation route to BGA chips x , where x is the number of each cold chain transport path, x=1,2,...,y, y is a positive integer greater than 2, and the transport temperature and humidity values ​​of each section of each cold chain transport path are analyzed; Step 4. Cold chain transportation power consumption and pollution analysis: Evaluate the power consumption coefficient μ of each cold chain transportation path x , obtain the remaining amount of Freon after cold chain vehicles have been transported on each historical section from the local database, and analyze the environmental pollution coefficient of exhaust gas emitted by cold chain vehicles on each cold chain transportation route The specific calculation method for evaluating the power consumption coefficient of each cold chain transportation path is as follows: Obtain the distance R of each section of each cold chain transportation route from the local database xp , where p is the number of each road section, p = 1, 2, ..., q, q is a positive integer greater than 2; According to the transportation temperature value of each section of each cold chain transportation route and transport humidity value λ xp , and based on the average external environment temperature C at the departure time of each section of each cold chain transportation route xp and the average humidity of the external environment D xp , evaluate the power consumption coefficient of each cold chain transportation path Step 5. Path selection: Calculate the recommendation coefficient of each cold chain transport path to obtain the target cold chain transport path, and send the target cold chain transport path to the driver of this cold chain transport.

2. The enterprise supply chain management method based on a large model according to claim 1 is characterized in that: The specific calculation method for calculating the estimated transportation time of the first section of each cold chain transportation route is as follows: Obtain the length a of the first section of each cold chain transport route from the local database x , the weather type of each historical transportation, the average driving speed of each historical transportation and the vehicle flow of each historical transportation, and obtain the allowed driving speed range of each weather type, and extract the maximum allowed driving speed of each weather type; According to the weather type at the departure time of the first section of each cold chain transportation route, the maximum allowable driving speed d of the weather type at the departure time of the first section of each cold chain transportation route is analyzed. x ; Based on the weather type of each historical transportation of the first section of each cold chain transportation path, and combined with the weather type at the departure time of the first section of each cold chain transportation path, obtain each historical transportation of the same weather type of the first section of each cold chain transportation path, and extract the maximum allowable driving speed f of each historical transportation of the same weather type of the first section of each cold chain transportation path xi , where i is the number of each historical transport, i = 1, 2, ..., j, j is a positive integer greater than 2; According to the automobile flow of each historical transportation of the first section of each cold chain transportation route, the automobile flow of each historical transportation of the same weather type in the first section of each cold chain transportation route is extracted. xi According to the average driving speed of each historical transportation of the first section of each cold chain transportation route, the average driving speed of each historical transportation of the same weather type in the first section of each cold chain transportation route is extracted. xi ; Based on the vehicle flow l at the departure time of each historical day of the first section of each cold chain transport route xn , where n is the number of each historical day, n = 1, 2, ..., m, m is a positive integer greater than 2, calculate the estimated transportation time of the first section of each cold chain transportation route Where j is the number of historical transportations and m is the total number of historical days.

3. The enterprise supply chain management method based on a large model according to claim 1 is characterized in that: The specific analysis method for analyzing the estimated transportation time of each section of each cold chain transportation route is as follows: According to the estimated transportation time of the first section of each cold chain transportation route and the departure time point, the arrival time point of the first section of each cold chain transportation route is calculated and marked as the departure time point of the second section of each cold chain transportation route; Obtain the weather type at the departure time of the second section of each cold chain transport route from the Meteorological Bureau, and calculate the estimated transportation time of the second section of each cold chain transport route based on the method for calculating the estimated transportation time of the first section of each cold chain transport route, and so on, so as to calculate the estimated transportation time of each section of each cold chain transport route.

4. The enterprise supply chain management method based on a large model according to claim 2 is characterized in that: The specific analysis method for evaluating the bump threat coefficient of each cold chain transportation path to the BGA chip is as follows: Obtain the road surface height k of each cold chain transport path at each historical monitoring time point from the map platform xt , where t is the number of each historical monitoring time point, t=1,2,...,s, s is a positive integer greater than 2; Obtain the number of BGA chips r transported this time, the maximum acceptable stress u of the solder balls of the corresponding BGA chips specified by the original manufacturer, and the gravity acceleration g at each historical monitoring time point of each cold chain transportation route from the local database xt , the mass v of a single chip and the predefined time w for the kinetic energy of the chip to disappear when it falls; According to the chassis horizontal height h at each historical monitoring time point of each cold chain transportation route xt , calculate the relative height difference ε of each historical monitoring time point of each cold chain transportation path xt =h xt -k xt ; Calculate the impact force on a single BGA chip at each historical monitoring time point of each cold chain transportation path where ε x(t-1) It is expressed as the relative height difference of the t-1th historical monitoring time point of the xth cold chain transportation path; Evaluate the bump threat coefficient of each cold chain transportation route to BGA chips Where s is the number of historical monitoring time points, and y is the number of cold chain transportation routes.

5. The enterprise supply chain management method based on a large model according to claim 4 is characterized in that: The specific analysis method for analyzing the transport temperature and humidity values ​​of each section of each cold chain transport path is as follows: According to the in-vehicle environmental static value of each section of each cold chain transportation route at each historical departure time point, and combined with the number of BGA chips transported this time, the in-vehicle environmental static value E of each section of each cold chain transportation route at each historical departure time point with the same number of BGA chips transported is extracted. xpN , where N is each historical departure time point, N = 1, 2, ..., M, and M is a positive integer greater than 2; Obtain the suitable storage temperature range, suitable storage humidity range and predefined maximum tolerable static value H of the BGA chip from the local database, and extract the minimum value A of the suitable storage temperature range and the minimum value B of the suitable storage humidity range of the BGA chip; According to the average external environment temperature C at the departure time of each section of each cold chain transportation route xp , analyze the transportation temperature values ​​of each section of each cold chain transportation route According to the average humidity D of the external environment at the departure time of each section of each cold chain transportation route xp , analyze the transport humidity values ​​of each section of each cold chain transport route 6. The enterprise supply chain management method based on a large model according to claim 4 is characterized in that: The specific analysis method for analyzing the environmental pollution coefficient of exhaust gas emitted by cold chain vehicles on each cold chain transportation path is as follows: Obtain the initial total amount of Freon T of the cold chain vehicle and the transportation time G of the cold chain vehicle in each historical section from the local database l , the weather type when the cold chain vehicle was transported on each historical section, the remaining amount of freon before the cold chain vehicle was transported on each historical section, and the greening rate K of each cold chain transportation route x , the amount of Freon absorbed by the unit greening rate L, where l is the number of the historical road section transportation, l = 1, 2, ..., z, z is a positive integer greater than 2; Based on the weather type of the cold chain vehicle during each historical road section transportation, and combined with the weather type at the departure time of the first road section of each cold chain transportation route, the cold chain vehicle transportation in each historical road section with the same weather type in the first road section is screened, and the remaining amount of Freon A′ after the cold chain vehicle transportation in each historical road section with the same weather type in the first road section is extracted B′ The remaining amount of Freon before transportation in each historical section with the same weather type C′ B′ , where B′ is the number of historical road section transportation of the same weather type, B′=1,2,...,D′, D′ is a positive integer greater than 2; According to the remaining amount of Freon F after the cold chain vehicle was transported in each historical section l , and based on the remaining amount of Freon before the cold chain vehicle was transported on each historical section l , calculate the Freon leakage adjustment coefficient of the cold chain vehicle in the first section Where D′ is the number of historical road section transports of the same weather type, and z is the number of historical transports; Similarly, the Freon leakage adjustment coefficient of the cold chain vehicle in each section of each cold chain transportation route is calculated; The leakage adjustment parameter intervals of each Freon and their corresponding leakage adjustment parameter values ​​are obtained from the local database, and the leakage adjustment parameter coefficients of each section of each cold chain transportation path are compared with the leakage adjustment parameter intervals of each Freon. If the leakage adjustment parameter coefficient of a certain section of a cold chain transportation path is included in a certain Freon leakage adjustment parameter interval, the leakage adjustment parameter value corresponding to the Freon leakage adjustment parameter interval is marked as the leakage adjustment parameter value of the section of the cold chain transportation path, thereby screening the leakage adjustment parameter values ​​of each section of the cold chain transportation path, and counting the leakage adjustment parameter values ​​of each section of each cold chain transportation path. xp ; According to the estimated transportation time Y of each section of each cold chain transportation route xp , estimate the amount of Freon leakage in each cold chain transportation route Where F′ is the remaining amount of Freon after the cold chain vehicle transported the last historical section; Analyze the environmental pollution coefficient of exhaust gas emitted by cold chain vehicles on each cold chain transportation route 7. The enterprise supply chain management method based on a large model according to claim 6 is characterized in that: The specific calculation formula for calculating the recommended coefficient of each cold chain transportation path is: Calculate the recommended coefficients for each cold chain transport route Where y is the number of cold chain transportation routes.

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