CN113807780A - Cold chain transportation method in big data environment and gas column bag for cold chain transportation - Google Patents
Cold chain transportation method in big data environment and gas column bag for cold chain transportation Download PDFInfo
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Abstract
The application relates to a cold chain transportation method and a gas column bag for cold chain transportation in a big data environment, wherein the method comprises the following steps: acquiring cold chain transportation order information, wherein the cold chain transportation order information comprises a delivery address, a receiving address, cargo type information, cargo volume information, cargo weight information, transportation temperature requirements and required delivery time T; planning and generating a delivery plan according to the received cold chain transportation order information; dispatching a driver to drive the cold chain transport vehicle to a goods delivery address according to the delivery plan to load the goods, and fixing the goods; a driver drives the truck according to a delivery plan to transport and deliver goods, and detects environmental parameters and vehicle position information in a truck compartment in real time in the transportation process; and analyzing the detected environmental parameters in real time, and feeding back the abnormal environmental parameters. This application has the effect that reduces physical cost protection goods quality.
Description
Technical Field
The application relates to the field of cold chain transportation, in particular to a cold chain transportation method and a gas column bag for cold chain transportation in a big data environment.
Background
The application range of the cold-chain material flow comprises the following steps: primary agricultural products: vegetables, fruits; meat, poultry, eggs; aquatic products and flower products. Processing food: quick-frozen food, fowl, meat, aquatic product, etc. can be used for packaging cooked food, ice cream and milk product, and chocolate; a snack food material. Special goods: the requirements of the medicine are higher and more complex than the requirements of a common normal-temperature logistics system, the construction investment is much larger, and the medicine is a huge system engineering. The timeliness of perishable foods requires that each link of the cold chain has higher organization coordination, so the operation of the food cold chain is always related to energy consumption cost, and the effective control operation cost is closely related to the development of the food cold chain.
Cold chain transportation refers to transportation in which the transported goods are kept at a certain temperature throughout the transportation process, no matter in the links of loading, unloading, carrying, changing transportation modes, changing packaging equipment and the like. The cold chain logistics relate to the following commodities: meat product, quick-frozen food, cold drink, fruit and vegetable, dairy product, fresh food, medicinal injection, etc.
However, the existing cold-chain logistics system is not perfect enough and is mostly carried out by depending on the traditional logistics system, and the traditional logistics mode and route are not necessarily suitable for cold chain. And in the transportation process, auxiliary refrigeration tools such as a refrigerator, a dry ice bag, a refrigeration belt and the like are often needed for auxiliary cooling storage, and the space of a cargo hold is occupied, so that the cost of cold-chain logistics is high. Meanwhile, the cold chain transportation is easy to cause problems during terminal sorting and dispatching, for example, under the general condition of cold chain transportation, the cold chain transportation only increases the low-temperature environment, and a terminal courier can use an independent refrigerating box which can be continuously opened and closed to cause the change of temperature, thereby causing irreversible influence on the transported agricultural products and fresh products, and further causing the cargo quality received by a receiving party to be different from the cargo quality during delivery.
In view of the above-mentioned related technologies, the inventor considers that the existing cold-chain logistics have the problems of high cost and unreasonable logistics distribution flow, which easily causes the quality of the goods to be reduced.
Disclosure of Invention
In order to improve the problem that the quality of articles is reduced easily due to the fact that the existing cold chain logistics cost is high and the logistics distribution process is unreasonable, the application provides a cold chain transportation method and a gas column bag for cold chain transportation under a big data environment.
In a first aspect, the application provides a cold chain transportation method in a big data environment, which adopts the following technical scheme:
a cold chain transportation method in a big data environment comprises the following steps:
acquiring cold chain transportation order information, wherein the cold chain transportation order information comprises a delivery address, a receiving address, cargo type information, cargo volume information, cargo weight information, transportation temperature requirements and required delivery time T;
planning and generating a delivery plan according to the received cold chain transportation order information;
dispatching a driver to drive the cold chain transport vehicle to a goods delivery address according to the delivery plan to load the goods, and fixing the goods;
a driver drives the truck according to a delivery plan to transport and deliver goods, and detects environmental parameters and vehicle position information in a truck compartment in real time in the transportation process;
and analyzing the detected environmental parameters in real time, and feeding back the abnormal environmental parameters.
By adopting the technical scheme, a delivery plan is planned for the cold chain order according to the cold chain order information, the goods are transported according to the delivery plan, and meanwhile, the goods are fixed and effectively protected in the goods loading process; and environmental parameters and vehicle position information in the freight car warehouse are detected and analyzed in the transportation process, the probability of goods damage is reduced, and the effects of reducing logistics cost and protecting the quality of goods are achieved.
Preferably, the planning and generating a delivery plan according to the received cold chain transportation order information specifically includes the following steps:
screening out cold chain transportation orders which can be subjected to order combination according to the received cold chain transportation order information;
directly generating a delivery plan for a cold chain transportation order which cannot be subjected to order matching, and matching a corresponding logistics vehicle for transportation, wherein the delivery plan comprises a transportation route and transportation requirement information;
and after the cold chain transportation orders which can be subjected to order combination are subjected to order combination, generating a delivery plan and matching the corresponding logistics vehicles.
By adopting the technical scheme, the cold chain transportation order is planned to generate a corresponding delivery plan, so that the goods are ensured to be transported safely in time, and the quality of the goods is ensured; meanwhile, the received cold chain transportation orders are classified, partial orders are combined, the transportation cost is saved on the premise that the transportation condition is met, and the economic benefit of a transportation enterprise is improved.
Preferably, after the order matching is performed on the cold chain transportation orders capable of performing order matching, a delivery plan is generated, and the matching of the corresponding logistics vehicles specifically includes the following steps:
classifying the cold chain transportation orders according to the transportation temperature requirement conditions;
matching vehicles meeting the transportation conditions for orders with the same transportation temperature conditions;
generating a single transportation route and a single transportation required time T1 for each cold chain transportation order according to the delivery address and the receiving address in the order information;
fitting the single transportation route of the cold chain transportation orders with the same transportation conditions, matching the cold chain transportation orders with the fitting degree larger than a preset value A and the sum of the weight and the volume of the goods not larger than the load capacity of the vehicle, and re-planning the route to generate a distribution plan;
and planning the cold chain transportation orders with the fitting degree smaller than a preset value A, the fitting degree larger than a preset value B and the sum of the weight and the volume of the goods not larger than the load capacity of the vehicle under the same transportation condition to generate a transportation route, calculating the order splicing transportation time T1 when each order finishes transportation, comparing the order splicing transportation time T1 of each cold chain transportation order with the required delivery time T, and splicing and generating a distribution plan if the order splicing transportation time T1 is smaller than the required delivery time T.
By adopting the technical scheme, the cold chain transportation orders under the same transportation condition are pieced together according to the fitting degree of the transportation route, so that the delivery time of the cold chain transportation orders after the cold chain transportation orders are pieced together can be effectively reduced, and the transportation cost is reduced; meanwhile, whether the order splicing can be carried out or not is determined according to the distribution time of the cold chain transportation order which has low route fitting degree and accords with a certain threshold, so that the transportation cost is reduced, the distribution time is ensured not to be overlong, the experience of a customer is not influenced, and the quality of goods is ensured not to be reduced due to overlong distribution time; the demand of logistics orders on the total transportation times of the vehicles is reduced through the ordered combination of the piecing units, so that part of the vehicles can be liberated to further improve the processing efficiency of the logistics orders, the goods are guaranteed to be transported in time, and the quality of the goods is improved.
Preferably, the sending a driver to drive the cold chain transport vehicle to a goods delivery address for loading according to the delivery plan includes: the driver loads the goods according to the principle that the heavy goods do not press the light goods, and puts the goods which are delivered first at the position close to the vehicle door according to the delivery sequence of the goods in the delivery plan.
Through adopting above-mentioned technical scheme, carry out orderly reasonable loading to the goods, ensure that the goods can be well stored in the carriage, put the goods that will deliver earlier and can effectively reduce the required time when the goods unloads near the door position according to the precedence order that the goods delivered in the delivery plan simultaneously, reduce the loss of air conditioning in the warehouse, ensure that the goods can be by effective safe storage in the warehouse, guarantee the quality of goods.
Preferably, the fixing of the cargo specifically includes: after the driver finishes the goods loading, will carry the gas column bag in advance and fill the space in the carriage of freight train after aerifing, fix the protection to the goods.
Through adopting above-mentioned technical scheme, adopt the gas column bag to fill the space in the carriage of freight train, can effectively protect the goods, avoid leading to the phenomenon of collision damage each other between the goods because of jolting and so on the way in the transportation, reach the effect of protection goods quality.
Preferably, the air column bag is communicated with the air charging equipment preset on the truck after the air column bag is carried in advance to charge the air and then the gap in the carriage of the truck is filled, the air pressure in the air column bag is detected, and when the air pressure in the air column bag is lower than a preset threshold value A, the air charging equipment is started to charge the air column bag.
Through adopting above-mentioned technical scheme, can effectively solve after the carriage cooling, atmospheric pressure reduces and leads to the shrivelled problem that can't carry out the fixing to the goods of gas column bag, avoids leading to the phenomenon of collision damage each other between the goods because of jolting etc. situation in transit, reaches the effect of protection goods quality.
Preferably, the analyzing the detected environmental parameters in real time and feeding back the abnormal environmental parameters specifically includes: and comparing the received environmental parameters with a preset standard environmental threshold, generating alarm information when the environmental parameters are abnormal, sending the alarm information to a manager and a driver, and giving an alarm to the driver through an alarm preset in a cab.
By adopting the technical scheme, the environment is detected and analyzed in real time, abnormal conditions can be found in time and processed, the phenomenon that the goods are damaged due to unexpected conditions is reduced, and the quality of the goods is effectively protected.
In a second aspect, the application provides a gas column bag for cold chain transportation, which is applied to a cold chain transportation method in any one of the above big data environments, and adopts the following technical scheme:
the utility model provides a gas column bag for cold chain transportation, includes the bag body, the bag body is connected with the charging connector, the bag body is connected with the detection piece that is used for detecting the internal atmospheric pressure of bag.
Through adopting above-mentioned technical scheme, can effectively solve after the carriage cooling, atmospheric pressure reduces and leads to the shrivelled problem that can't carry out the fixing to the goods of gas column bag, avoids leading to the phenomenon of collision damage each other between the goods because of jolting etc. situation in transit, reaches the effect of protection goods quality.
Preferably, the charging connector is connected with the air release nozzle, the outer surface of the bag body is provided with an anti-skid structure for preventing moisture in the air from being condensed into a smooth ice layer, and the anti-skid structure is made of anti-skid materials.
Through adopting above-mentioned technical scheme, through setting up anti-skidding structure, when arranging the gas column bag in the freezer, avoid moisture in the air to condense into smooth ice sheet to increase the dismantlement to the gas column bag when being convenient for unload, effectively promote discharge speed, effectively protect the goods in the storehouse.
In a third aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions:
a computer readable storage medium storing a computer program capable of being loaded by a processor and executing any one of the above-mentioned methods for intelligent monitoring of a machine room.
By adopting the technical scheme, a delivery plan is planned for the cold chain order according to the cold chain order information, the goods are transported according to the delivery plan, and meanwhile, the goods are fixed and effectively protected in the goods loading process; and environmental parameters and vehicle position information in the freight car warehouse are detected and analyzed in the transportation process, the probability of goods damage is reduced, and the effects of reducing logistics cost and protecting the quality of goods are achieved.
In summary, the present application includes at least one of the following beneficial technical effects:
1. planning a delivery plan for the cold chain according to the cold chain order information, transporting the goods according to the delivery plan, and fixing the goods in the loading process of the goods to effectively protect the goods; environmental parameters and vehicle position information in a freight house of the truck are detected and analyzed in the transportation process, the probability of damage of the goods is reduced, and the effects of reducing logistics cost and protecting the quality of goods are achieved;
2. the cold chain transportation orders under the same transportation condition are pieced together according to the fitting degree of the transportation route, so that the delivery time of the cold chain transportation orders after the cold chain transportation orders are pieced together can be effectively reduced, and the transportation cost is reduced; meanwhile, whether the order splicing can be carried out or not is determined according to the distribution time of the cold chain transportation order which has low route fitting degree and accords with a certain threshold, so that the transportation cost is reduced, the distribution time is ensured not to be overlong, the experience of a customer is not influenced, and the quality of goods is ensured not to be reduced due to overlong distribution time; the demand of the logistics order on the total transportation times of the vehicles is reduced through the ordered combination of the piecing units, so that part of the vehicles can be liberated, the processing efficiency of the logistics order is further improved, the goods are guaranteed to be transported in time, and the quality of the goods is improved;
3. according to the setting of gas column bag, can effectively solve in the carriage cooling back, atmospheric pressure reduces and leads to the gas column bag shrivelled unable problem of fixing to the goods, avoids leading to the phenomenon of collision damage each other between the goods because of situations such as jolting in the transit, reaches the effect of protection goods quality.
Drawings
FIG. 1 is a flow chart of a method of cold chain transportation in a large environment according to an embodiment of the present application;
FIG. 2 is a flow chart of a method of generating a delivery plan in an embodiment of the present application;
FIG. 3 is a flowchart of a method for generating a delivery plan by compiling orders in an embodiment of the present application;
fig. 4 is a schematic structural diagram of a gas column bag in an embodiment of the present application.
Description of reference numerals: 1. a bag body; 2. an air charging nozzle; 3. a detection member; 4. an air releasing nozzle; 5. and (4) an anti-skid structure.
Detailed Description
The present application is described in further detail below with reference to figures 1-4.
The embodiment of the application discloses a cold chain transportation method in a big data environment. Referring to fig. 1, a cold chain transportation method in a big data environment includes the following steps:
s1, obtaining order information: acquiring cold chain transportation order information, wherein the cold chain transportation order information comprises a delivery address, a receiving address, cargo type information, cargo volume information, cargo weight information, transportation temperature requirements and required delivery time T;
s2, generating a delivery plan: planning and generating a delivery plan according to the received cold chain transportation order information;
s3, loading and fixing: dispatching a driver to drive the cold chain transport vehicle to a goods delivery address according to the delivery plan to load the goods, and fixing the goods;
s4, cargo delivery and detection: a driver drives the truck according to a delivery plan to transport and deliver goods, and detects environmental parameters and vehicle position information in a truck compartment in real time in the transportation process; the method specifically detects the temperature and humidity in the vehicle, and positions the vehicle through a preset GPS positioning device.
S5, environmental parameter analysis feedback: and analyzing the detected environmental parameters in real time, and feeding back the abnormal environmental parameters. Planning a delivery plan for the cold chain according to the cold chain order information, transporting the goods according to the delivery plan, and fixing the goods in the loading process of the goods to effectively protect the goods; and environmental parameters and vehicle position information in the freight car warehouse are detected and analyzed in the transportation process, the probability of goods damage is reduced, and the effects of reducing logistics cost and protecting the quality of goods are achieved.
Referring to fig. 2, step S2 specifically includes the following steps:
a1, order screening: screening out cold chain transportation orders which can be subjected to order combination according to the received cold chain transportation order information;
a2, directly generating a delivery plan: directly generating a delivery plan for the cold chain transportation orders which cannot be subjected to order matching, and matching corresponding logistics vehicles for transportation, wherein the delivery plan comprises transportation routes and transportation requirement information;
a3, generating a delivery plan by combining orders: and after the cold chain transportation orders which can be subjected to order combination are subjected to order combination, generating a delivery plan and matching the corresponding logistics vehicles. The corresponding delivery plan is generated by planning the cold chain transportation order, so that the goods are ensured to be safely transported in time, and the quality of the goods is ensured; meanwhile, the received cold chain transportation orders are classified, partial orders are combined, the transportation cost is saved on the premise that the transportation condition is met, and the economic benefit of a transportation enterprise is improved.
Referring to fig. 3, the step a3 specifically includes the following steps:
b1, order classification: classifying the cold chain transportation orders according to the transportation temperature requirement conditions;
b2, matching the vehicle: matching vehicles meeting the transportation conditions for orders with the same transportation temperature conditions;
b3, generating a transportation route: generating a single transportation route and a single transportation required time T1 for each cold chain transportation order according to the delivery address and the receiving address in the order information;
b4, route fitting and order matching: fitting the single transportation route of the cold chain transportation orders with the same transportation conditions, matching the cold chain transportation orders with the fitting degree larger than a preset value A and the sum of the weight and the volume of the goods not larger than the load capacity of the vehicle, and re-planning the route to generate a distribution plan;
b5, time comparison and order matching: and planning the cold chain transportation orders with the fitting degree smaller than a preset value A, the fitting degree larger than a preset value B and the sum of the weight and the volume of the goods not larger than the load capacity of the vehicle under the same transportation condition to generate a transportation route, calculating the order splicing transportation time T1 when each order finishes transportation, comparing the order splicing transportation time T1 of each cold chain transportation order with the required delivery time T, and splicing and generating a distribution plan if the order splicing transportation time T1 is smaller than the required delivery time T.
The cold chain transportation orders under the same transportation condition are pieced together according to the fitting degree of the transportation route, so that the delivery time of the cold chain transportation orders after the cold chain transportation orders are pieced together can be effectively reduced, and the transportation cost is reduced; meanwhile, whether the order splicing can be carried out or not is determined according to the distribution time of the cold chain transportation order which has low route fitting degree and accords with a certain threshold, so that the transportation cost is reduced, the distribution time is ensured not to be overlong, the experience of a customer is not influenced, and the quality of goods is ensured not to be reduced due to overlong distribution time; the demand of logistics orders on the total transportation times of the vehicles is reduced through the ordered combination of the piecing units, so that part of the vehicles can be liberated to further improve the processing efficiency of the logistics orders, the goods are guaranteed to be transported in time, and the quality of the goods is improved.
The step S3 of fixing the cargo specifically includes: after the driver finishes the goods loading, will carry the gas column bag in advance and fill the space in the carriage of freight train after aerifing, fix the protection to the goods. The air column bag is adopted to fill the gap in the carriage of the truck, so that the goods can be effectively protected, the phenomenon that the goods are mutually collided and damaged due to conditions such as bumping in the transportation process is avoided, and the effect of protecting the quality of the goods is achieved. And will carry the gas column bag in advance and communicate gas column bag and the aeration equipment of predetermineeing on the freight train after filling the space in the carriage of freight train to detect the atmospheric pressure in the gas column bag, when atmospheric pressure in the gas column bag is less than preset threshold A, start aeration equipment and aerify the gas column bag. Can effectively solve in the carriage cooling back, atmospheric pressure reduces and leads to the shrivelled problem that can't carry out the fixing to the goods of gas column bag, avoids leading to the phenomenon of collision damage each other between the goods because of jolting and so on the way in the transportation, reaches the effect of protection goods quality.
The analyzing the detected environmental parameters in real time in step S5, and feeding back the abnormal environmental parameters specifically includes: and comparing the received environmental parameters with a preset standard environmental threshold, generating alarm information when the environmental parameters are abnormal, sending the alarm information to a manager and a driver, and giving an alarm to the driver through an alarm preset in a cab. Through detecting and analyzing the environment in real time, abnormal conditions can be found in time and processed, the phenomenon that the goods are damaged due to unexpected conditions is reduced, and the quality of the goods is effectively protected.
The embodiment of the application also discloses a gas column bag for cold chain transportation. Referring to fig. 4, the gas column bag for cold chain transportation is applied to the cold chain transportation method under the large environment, and comprises a bag body 1, wherein the bag body 1 is connected with an inflating nozzle 2, and the bag body 1 is connected with a detection piece 3 for detecting the air pressure in the bag body 1. The detection member 3 may employ a barometer, an air pressure sensor, or the like. Fill into the boxcar after aerifing the gas column bag when using in, be connected inflating nipple 2 and the freight train on the predetermined inflation equipment, detect the atmospheric pressure in the gas column bag through detecting piece 3, can effectively solve in the carriage cooling back, atmospheric pressure reduces and leads to the gas column bag shrivelled unable problem of fixing the goods, avoids leading to the phenomenon of collision damage each other between the goods because of jolting etc. situation in transit, reaches the effect of protection goods quality.
Referring to fig. 4, charging connector 2 is connected with air release mouth 4, and the setting through air release mouth 4 is convenient for deflate the gas column bag when unloading, promotes goods unloading speed. The external surface of the bag body 1 is provided with an anti-slip structure for preventing moisture in the air from condensing into a smooth ice layer, the anti-slip structure 5 is made of an anti-slip material, and the anti-slip structure 5 is made of non-woven fabric in the embodiment of the application. Through setting up anti-skidding structure, when arranging the gas column bag in the freezer, avoid moisture condensation in the air to become smooth ice sheet to increase the dismantlement to the gas column bag when being convenient for unload, effectively promote the discharge speed, effectively protect the goods in the warehouse.
The embodiment of the present application further discloses a computer-readable storage medium, which stores a computer program that can be loaded by a processor and executed in the method as described above, and the computer-readable storage medium includes, for example: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above examples are only used to illustrate the technical solutions of the present invention, and do not limit the scope of the present invention. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from these embodiments without making any inventive step, fall within the scope of the present invention. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art may still make various combinations, additions, deletions or other modifications of the features of the embodiments of the present invention according to the situation without conflict, so as to obtain different technical solutions without substantially departing from the spirit of the present invention, and these technical solutions also fall within the protection scope of the present invention.
Claims (10)
1. A cold chain transportation method in a big data environment is characterized by comprising the following steps:
acquiring cold chain transportation order information, wherein the cold chain transportation order information comprises a delivery address, a receiving address, cargo type information, cargo volume information, cargo weight information, transportation temperature requirements and required delivery time T;
planning and generating a delivery plan according to the received cold chain transportation order information;
dispatching a driver to drive the cold chain transport vehicle to a goods delivery address according to the delivery plan to load the goods, and fixing the goods;
a driver drives the truck according to a delivery plan to transport and deliver goods, and detects environmental parameters and vehicle position information in a truck compartment in real time in the transportation process;
and analyzing the detected environmental parameters in real time, and feeding back the abnormal environmental parameters.
2. The cold chain transportation method under the big data environment according to claim 1, wherein planning and generating a delivery plan according to the received cold chain transportation order information specifically comprises the following steps:
screening out cold chain transportation orders which can be subjected to order combination according to the received cold chain transportation order information;
directly generating a delivery plan for a cold chain transportation order which cannot be subjected to order matching, and matching a corresponding logistics vehicle for transportation, wherein the delivery plan comprises a transportation route and transportation requirement information;
and after the cold chain transportation orders which can be subjected to order combination are subjected to order combination, generating a delivery plan and matching the corresponding logistics vehicles.
3. The cold chain transportation method under the big data environment according to claim 2, wherein the step of generating a delivery plan after the cold chain transportation orders capable of being subjected to order matching are subjected to order matching and matching with corresponding logistics vehicles specifically comprises the steps of:
classifying the cold chain transportation orders according to the transportation temperature requirement conditions;
matching vehicles meeting the transportation conditions for orders with the same transportation temperature conditions;
generating a single transportation route and a single transportation required time T1 for each cold chain transportation order according to the delivery address and the receiving address in the order information;
fitting the single transportation route of the cold chain transportation orders with the same transportation conditions, matching the cold chain transportation orders with the fitting degree larger than a preset value A and the sum of the weight and the volume of the goods not larger than the load capacity of the vehicle, and re-planning the route to generate a distribution plan;
and planning the cold chain transportation orders with the fitting degree smaller than a preset value A, the fitting degree larger than a preset value B and the sum of the weight and the volume of the goods not larger than the load capacity of the vehicle under the same transportation condition to generate a transportation route, calculating the order splicing transportation time T1 when each order finishes transportation, comparing the order splicing transportation time T1 of each cold chain transportation order with the required delivery time T, and splicing and generating a distribution plan if the order splicing transportation time T1 is smaller than the required delivery time T.
4. The cold chain transportation method in the big data environment as claimed in claim 1, wherein the sending a driver to drive the cold chain transportation vehicle to a goods delivery address for loading according to the delivery plan comprises: the driver loads the goods according to the principle that the heavy goods do not press the light goods, and puts the goods which are delivered first at the position close to the vehicle door according to the delivery sequence of the goods in the delivery plan.
5. The cold chain transportation method in the big data environment according to claim 1, wherein the fixing the goods specifically comprises: after the driver finishes the goods loading, will carry the gas column bag in advance and fill the space in the carriage of freight train after aerifing, fix the protection to the goods.
6. The cold chain transportation method in the big data environment according to claim 5, wherein: after gaps in a carriage of the truck are filled after the gas column bag is carried in advance to be inflated, the gas column bag is communicated with inflating equipment preset on the truck, the air pressure in the gas column bag is detected, and when the air pressure in the gas column bag is lower than a preset threshold value A, the inflating equipment is started to inflate the gas column bag.
7. The cold chain transportation method under the big data environment according to claim 1, wherein the analyzing the detected environmental parameters in real time and feeding back the abnormal environmental parameters specifically comprises: and comparing the received environmental parameters with a preset standard environmental threshold, generating alarm information when the environmental parameters are abnormal, sending the alarm information to a manager and a driver, and giving an alarm to the driver through an alarm preset in a cab.
8. A gas column bag for cold chain transportation, which is applied to a cold chain transportation method under a big data environment of any one of claims 1 to 7, and is characterized by comprising a bag body (1), wherein the bag body (1) is connected with an inflating nozzle (2), and the bag body (1) is connected with a detection piece (3) for detecting the air pressure inside the bag body (1).
9. The cold chain transportation gas column bag of claim 8, wherein: the air charging connector (2) is connected with an air discharging nozzle (4), the outer surface of the bag body (1) is provided with an anti-skidding structure (5) used for preventing moisture in the air from being condensed into a smooth ice layer, and the anti-skidding structure (5) is made of anti-skidding materials.
10. A computer-readable storage medium, in which a computer program is stored which can be loaded by a processor and which executes the method of any one of claims 1 to 7.
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