CN117371892A - Logistics management method and system based on big data - Google Patents
Logistics management method and system based on big data Download PDFInfo
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Abstract
The invention discloses a logistics management method and a logistics management system based on big data, comprising a cold chain logistics management system, wherein the cold chain logistics management system comprises a transportation data acquisition module, an analysis module and a big data background, the transportation data acquisition module is used for acquiring the transportation condition of a cold chain vehicle, the analysis module is used for analyzing real-time data of the cold chain vehicle during transportation, and the big data background is used for receiving the data analyzed by the analysis module and allocating the transportation vehicle in real time; the transportation data acquisition module comprises a path planning sub-module and a temperature sensor, wherein the path planning sub-module is used for planning a transportation path of the cold chain vehicle, inputting a destination into the path planning sub-module and automatically generating a path, and the temperature sensor is used for detecting the temperature in the cold chain vehicle; the invention conveniently and efficiently realizes the function of the logistics management efficiency of the cold chain vehicle.
Description
Technical Field
The invention is applied to the technical field of logistics management of cold chain vehicles, and relates to a logistics management method and system based on big data.
Background
Logistics refers to the realization of a rationalized service mode and an advanced service flow by using modern information technology and equipment. The content of the logistics management comprises the following three aspects: namely, the management of the elements of the logistics activities, including transportation, storage and other links; management of all elements of the logistics system, namely management of six elements of people, property, things, equipment, methods, information and the like; the management of specific functions in the logistics activities mainly comprises management of functions such as logistics planning, quality, technology, economy and the like;
cold chain transportation is a kind of logistics, and is a logistics transportation mode for keeping the fresh quality of food or the efficacy of other products and reducing transportation loss, and the goods always keep a certain temperature in the links of processing, storage, transportation, distribution, retail and the like. However, the conventional cold chain transportation logistics management is disordered, the temperature stability in the cold chain transportation process cannot be guaranteed, the quality of the cold chain transportation carrying materials is affected, and meanwhile, supporting measures cannot be timely taken when a cold chain vehicle is in a problem, so that the transportation quality and efficiency are affected.
Therefore, it is necessary to provide a logistics management method and system based on big data, which can improve the transportation quality and efficiency.
Disclosure of Invention
The invention aims to provide a logistics management method and system based on big data, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: the logistics management method and system based on big data comprise a cold chain logistics management system, wherein the cold chain logistics management system comprises a transportation data acquisition module, an analysis module and a big data background, the transportation data acquisition module is used for acquiring the transportation condition of a cold chain vehicle, the analysis module is used for analyzing real-time data of the cold chain vehicle during transportation, and the big data background is used for receiving the data analyzed by the analysis module and allocating the transportation vehicle in real time;
the transportation data acquisition module comprises a path planning sub-module and a temperature sensor, wherein the path planning sub-module is used for planning a transportation path of the cold chain vehicle, inputting a destination into the path planning sub-module and automatically generating a path, and the temperature sensor is used for detecting the temperature in the cold chain vehicle;
the path planning submodule comprises a position acquisition unit, wherein the position acquisition unit is used for judging the position of the vehicle in the planned path in real time.
In one embodiment, the analysis module comprises a path analysis sub-module, a temperature identification sub-module and a path pre-judging sub-module, wherein the path analysis sub-module is electrically connected with the position acquisition unit, the distance between the cold chain car and the destination is analyzed in real time, the temperature identification sub-module is electrically connected with the temperature sensor, the temperature condition in the cold chain car is identified, and the path pre-judging sub-module is used for pre-judging the distance travelled after the problem of the cold chain car.
In one embodiment, the path analysis submodule comprises a refrigeration unit, the refrigeration unit is electrically connected with a standby refrigerator of the cold chain vehicle, the temperature identification submodule comprises a timing unit and a number counting unit, the timing unit is used for calculating time with large internal temperature difference of the cold chain vehicle, and the number counting unit counts the number of times with large temperature difference.
In one embodiment, the big data background comprises an allocation submodule, an information sending submodule and a position identification submodule, wherein the allocation submodule is used for allocating cold chain vehicles to directly go wrong cold chain vehicles, the information sending submodule is used for sending signals to other cold chain vehicles so as to facilitate a driver to receive the signals, and the position identification submodule is electrically connected with the path analysis submodule and used for identifying other cold chain vehicles around the wrong cold chain vehicles.
In one embodiment, the big data based cold chain vehicle logistics management method is as follows:
s1, loading cargoes, inputting a destination in a path planning submodule by a driver, automatically generating a route, and judging the transportation position of a cold chain vehicle in real time;
s2, when the cold chain vehicle is transported, the temperature value is transmitted to the temperature identification sub-module through the temperature sensor, and the temperature condition in the cold chain vehicle is judged in real time;
s3, the timing unit identifies the time with large temperature difference, the times with large temperature difference are counted by the times counting unit, and the sum of the time with large temperature difference in transportation is analyzed, so that the transportation state of the cold chain vehicle is analyzed;
s4, judging the distance from the cold chain vehicle to the end point of the transportation distance through the path analysis sub-module, and judging the overall transportation quality by combining the transportation state of the cold chain vehicle;
s5, transmitting a signal of the transportation state of the cold chain vehicle to a big data background, and taking different measures according to the transportation quality to improve the transportation efficiency.
In one embodiment, the specific step of S2 is:
setting the qualified temperature in the vehicle as W in the temperature identification sub-module Inner part Detecting the temperature in the vehicle as W in real time Real world In degrees centigrade, when W Real world >W Inner part When the temperature difference between the inside and the outside of the cold chain car is large, when W Real world ≤W Inner part And when the temperature difference between the inside and the outside of the cold chain car is small.
Compared with the prior art, the invention has the following beneficial effects: according to the invention, through the cold chain logistics system, when the cold chain vehicle transports goods, the position and the transportation state of the cold chain vehicle are judged in real time, certain supporting measures are taken for the cold chain vehicle, meanwhile, the transportation efficiency is not influenced during supporting, and the transportation quality and efficiency are improved.
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Technical solutions and other advantageous effects of the present application will be made apparent from the following detailed description of specific embodiments of the present application with reference to the accompanying drawings.
In the drawings:
FIG. 1 is a schematic diagram of the cold chain logistics relationship system of the present invention.
Detailed Description
The following disclosure provides many different embodiments or examples for implementing different structures of the present application. In order to simplify the disclosure of the present application, the components and arrangements of specific examples are described below. Of course, they are merely examples and are not intended to limit the present application. Furthermore, the present application may repeat reference numerals and/or letters in the various examples, which are for the purpose of brevity and clarity, and which do not in themselves indicate the relationship between the various embodiments and/or arrangements discussed. In addition, the present application provides examples of various specific processes and materials, but one of ordinary skill in the art may recognize the application of other processes and/or the use of other materials.
Referring to fig. 1, the present invention provides the following technical solutions: the logistics management system based on the big data comprises a cold chain logistics management system, wherein the cold chain logistics management system comprises a transportation data acquisition module, an analysis module and a big data background, the transportation data acquisition module is used for acquiring the state of the cold chain vehicle during transportation, the analysis module is used for analyzing real-time data of the cold chain vehicle during transportation, and the big data background is used for receiving the data analyzed by the analysis module and allocating the transportation vehicle in real time;
the transportation data acquisition module comprises a path planning sub-module and a temperature sensor, wherein the path planning sub-module is used for planning a transportation path of the cold chain vehicle, inputting a destination in the path planning sub-module, automatically generating a path, and the temperature sensor is used for detecting the temperature in the cold chain vehicle;
the path planning submodule comprises a position acquisition unit, wherein the position acquisition unit is used for judging the position of the vehicle in a planned path in real time;
the analysis module comprises a path analysis sub-module, a temperature identification sub-module and a path pre-judging sub-module, wherein the path analysis sub-module is electrically connected with the position acquisition unit and is used for analyzing the distance between the cold chain vehicle and the destination in real time, the temperature identification sub-module is electrically connected with the temperature sensor and is used for identifying the temperature condition in the cold chain vehicle, and the path pre-judging sub-module is used for pre-judging the distance travelled by the cold chain vehicle after the problem occurs;
the path analysis submodule comprises a refrigerating unit, the refrigerating unit is electrically connected with a standby refrigerator of the cold chain vehicle, the temperature identification submodule comprises a timing unit and a number counting unit, the timing unit is used for calculating the time when the internal temperature difference of the cold chain vehicle is large, and the number counting unit counts the number of times when the temperature difference is large;
the big data background comprises an allocation submodule, an information sending submodule and a position identification submodule, wherein the allocation submodule is used for allocating cold chain vehicles to directly go wrong cold chain vehicles, the information sending submodule is used for sending signals to other cold chain vehicles so as to facilitate a driver to receive the signals, and the position identification submodule is electrically connected with the path analysis submodule and is used for identifying other cold chain vehicles around the wrong cold chain vehicles;
the logistics management method based on big data is further included, and comprises the following specific steps:
s1, loading cargoes, inputting a destination in a path planning submodule by a driver, automatically generating a route, and judging the transportation position of a cold chain vehicle in real time;
specifically, the automatically generated route is transmitted to a big data background, the route is recorded, when the cold chain vehicle is transported, the position of the cold chain vehicle is judged in real time through a position acquisition unit, and the position is displayed in the big data background, so that a worker can conveniently observe the position of the cold chain vehicle in real time, and the time required for automatically generating the completed route is S;
s2, when the cold chain vehicle is transported, the temperature value is transmitted to the temperature identification sub-module through the temperature sensor, and the temperature condition in the cold chain vehicle is judged in real time;
specifically, the in-vehicle acceptable temperature is set as W in the temperature identification sub-module Inner part Detecting the temperature in the vehicle as W in real time Real world In degrees centigrade, when W Real world >W Inner part When the temperature difference between the inside and the outside of the cold chain car is large, when W Real world ≤W Inner part When the temperature difference between the inside and the outside of the cold chain vehicle is small, wherein the temperature difference is determined according to the condition of the temperature required by the staff for transporting the articles, if the temperature difference is large, a signal is transmitted to a refrigerating system of the cold chain vehicle, so that the refrigerating is enhanced, the transportation temperature is ensured to be within a qualified range, and the temperature of the cold chain vehicle is stable;
s3, the timing unit identifies the time with large temperature difference, the times with large temperature difference are counted by the times counting unit, and the sum of the time with large temperature difference in transportation is analyzed, so that the transportation state of the cold chain vehicle is analyzed;
specifically, when the temperature difference between the inside and the outside of the cold chain vehicle is large, the timing unit is started, the time length for recording the large temperature difference is S, the number of times of counting the large temperature difference is n through the number of times counting unit, and the total time length S with the large temperature difference is calculated Total (S) The calculation formula isS i Representing the ratio of the total length of time with large temperature difference to the length of time S required for completing the path after the i-th detection of the length of time with large temperature difference, wherein the calculation formula is +.>Wherein S is Ratio of For the ratio of the total length of time with large temperature difference to the length of time S required for completing the path, if 0<S Ratio of Less than or equal to 10 percent, which means that the transportation state of the cold chain car is advanced when 10 percent<S Ratio of When the transportation state of the cold chain car is less than or equal to 30 percent, the transportation state of the cold chain car is medium grade, when S Ratio of >30% indicates that the transportation state of the cold chain car is low;
s4, judging the distance from the cold chain vehicle to the end point of the transportation distance through the path analysis sub-module, and judging the overall transportation quality by combining the transportation state of the cold chain vehicle;
specifically, the journey analysis submodule receives information of the position acquisition unit in real time, judges the position of the cold chain vehicle in real time, calculates the duty ratio of the distance between the cold chain vehicle and the end point distance,wherein Q is Total (S) For the total length of the path, Q Distance from each other Distance between cold chain vehicle and end point, Q Ratio of For the cold chain vehicle to be at the end distance of 0<Q Ratio of When the distance between the cold chain vehicle and the vehicle is less than or equal to 20%, the cold chain vehicle is near to the end point and is low, when Q Ratio of >At 20%, the distance from the cold chain vehicle to the end point is far and advanced;
when the transportation state of the cold chain vehicle is high, the whole transportation quality of the cold chain vehicle is high, and no treatment is needed;
when the transportation state of the cold chain vehicle is medium and the distance end point of the cold chain vehicle is low, the whole transportation quality of the cold chain vehicle is medium, the cold chain vehicle is about to reach the end point, at the moment, the path analysis submodule transmits a signal to the refrigerating unit, and a standby refrigerator of the cold chain vehicle is started to strengthen refrigeration so as to ensure the transportation quality;
when the transportation state of the cold chain vehicle is medium-grade and the distance end point of the cold chain vehicle is high-grade, the whole transportation quality of the cold chain vehicle is low-grade;
when the transportation state of the cold chain vehicle is low, the whole transportation quality of the cold chain vehicle is poor, and a signal is transmitted to a big data background to arrange processing measures for the cold chain vehicle;
s5, transmitting a signal of the transportation state of the cold chain vehicle to a big data background, and taking different measures according to the transportation quality to improve the transportation efficiency;
specifically, when the whole transportation quality of the cold chain vehicle is low, if the standby refrigeration unit is started, the situation that refrigeration is not available is also caused, at the moment, a big data background transmits a signal to a position recognition sub-module, the position recognition sub-module is used for centering on the cold chain vehicle with the low transportation quality, other cold chain vehicles or material flow stations with the high transportation quality around the cold chain vehicle are recognized, the allocation sub-module is used for transmitting the signal to the cold chain vehicle or material flow station with the high transportation quality nearby, a driver is informed of the need of supporting, and the information transmission sub-module is used for transmitting the position of the cold chain vehicle with the low transportation quality to the other cold chain vehicles with the high transportation quality around, so that the driver obtains the position of the cold chain vehicle;
in order to avoid influencing the transportation efficiency of the cold chain vehicle, therefore, when the cold chain vehicle with high transportation quality goes to the support, the cold chain vehicle with low transportation quality always runs, the path pre-judging unit judges the distance travelled by the cold chain vehicle with low transportation quality when the cold chain vehicle with high transportation quality does not reach the support place, and transmits the pre-judged distance to the cold chain vehicle supported by the cold chain vehicle, when the two vehicles meet, the cold chain vehicle can be supported directly, by the step, when the cold chain vehicle supports, the distance travelled by the cold chain vehicle with low transportation quality is pre-judged, the cold chain vehicle with low transportation quality is prevented from waiting in place, the time cost is reduced while the transportation quality is ensured, and the transportation efficiency is improved;
when the transportation quality of the cold chain vehicle is poor, the distance from the cold chain vehicle to the end point is not needed to be considered, signals are transmitted to a big data background, a logistics site is selected nearby through big data background analysis, and the vehicle with poor transportation quality directly runs to the logistics site for further processing.
In the description of the present application, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically connected, electrically connected or can be communicated with each other; may be directly connected, may be in communication with the interior of two elements or may be in interaction with two elements. The meaning of the above terms in the present application can be understood by those of ordinary skill in the art according to the specific circumstances.
The above describes in detail a big data based logistics management method and system provided in the embodiments of the present application, and specific examples are applied to illustrate the principles and embodiments of the present application, where the above description of the embodiments is only used to help understand the technical solution and core ideas of the present application; those of ordinary skill in the art will appreciate that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application.
Claims (7)
1. Big data-based logistics management system comprises a cold chain logistics management system and is characterized in that: the cold chain logistics management system comprises a transportation data acquisition module, an analysis module and a big data background, wherein the transportation data acquisition module is used for acquiring the transportation condition of the cold chain vehicle, the analysis module is used for analyzing the real-time data of the cold chain vehicle during transportation, and the big data background is used for receiving the data analyzed by the analysis module and real-time allocating the transportation vehicle;
the transportation data acquisition module comprises a path planning sub-module and a temperature sensor, wherein the path planning sub-module is used for planning a transportation path of the cold chain vehicle, inputting a destination into the path planning sub-module and automatically generating a path, and the temperature sensor is used for detecting the temperature in the cold chain vehicle;
the path planning submodule comprises a position acquisition unit, wherein the position acquisition unit is used for judging the position of the vehicle in the planned path in real time.
2. The big data based logistics management method and system as claimed in claim 1, wherein: the analysis module comprises a path analysis sub-module, a temperature identification sub-module and a path pre-judging sub-module, wherein the path analysis sub-module is electrically connected with the position acquisition unit, the distance between the cold chain car and a destination is analyzed in real time, the temperature identification sub-module is electrically connected with the temperature sensor, the temperature condition in the cold chain car is identified, and the path pre-judging sub-module is used for pre-judging the distance travelled after the cold chain car goes out of a problem.
3. The big data based logistics management method and system as claimed in claim 2, wherein: the distance analysis submodule comprises a refrigerating unit, the refrigerating unit is electrically connected with a standby refrigerator of the cold chain vehicle, the temperature identification submodule comprises a timing unit and a frequency counting unit, the timing unit is used for calculating time with large internal temperature difference of the cold chain vehicle, and the frequency counting unit counts the frequency with large temperature difference.
4. The big data based logistics management method and system as set forth in claim 3, wherein: big data backstage includes allotment submodule piece, information transmission submodule piece and position identification submodule piece, allotment submodule piece is used for allotting the cold chain car that the cold chain car goes direct problem, information transmission submodule piece is used for giving other cold chain cars with signal transmission, and the driver of being convenient for receives the signal, position identification submodule piece is connected for the electricity with the journey analysis submodule piece for discern other cold chain cars around the cold chain car of problem.
5. The big data based logistics management method of claim 4, wherein: the cold chain vehicle logistics management method based on big data comprises the following steps:
s1, loading cargoes, inputting a destination in a path planning submodule by a driver, automatically generating a route, and judging the transportation position of a cold chain vehicle in real time;
s2, when the cold chain vehicle is transported, the temperature value is transmitted to the temperature identification sub-module through the temperature sensor, and the temperature condition in the cold chain vehicle is judged in real time;
s3, the timing unit identifies the time with large temperature difference, the times with large temperature difference are counted by the times counting unit, and the sum of the time with large temperature difference in transportation is analyzed, so that the transportation state of the cold chain vehicle is analyzed;
s4, judging the distance from the cold chain vehicle to the end point of the transportation distance through the path analysis sub-module, and judging the overall transportation quality by combining the transportation state of the cold chain vehicle;
s5, transmitting a signal of the transportation state of the cold chain vehicle to a big data background, and taking different measures according to the transportation quality to improve the transportation efficiency.
6. The big data based logistics management method and system as claimed in claim 5, wherein: the specific steps of the S2 are as follows:
setting the qualified temperature in the vehicle as W in the temperature identification sub-module Inner part Detecting the temperature in the vehicle as W in real time Real world In degrees centigrade, when W Real world >W Inner part When the temperature difference between the inside and the outside of the cold chain car is large, when W Real world ≤W Inner part And when the temperature difference between the inside and the outside of the cold chain car is small.
7. The big data based logistics management method and system as claimed in claim 6, wherein: the specific steps of the S3 are as follows:
when the temperature difference between the inside and the outside of the cold chain vehicle is large, the timing unit is started, the time length for recording the large temperature difference is S, the number of times for counting the large temperature difference is n through the number of times counting unit, and the total time length S with the large temperature difference is calculated Total (S) The calculation formula isS i Representing the ratio of the total length of time with large temperature difference to the length of time S required for completing the path after the i-th detection of the length of time with large temperature difference, wherein the calculation formula is as followsWherein S is Ratio of Is large in temperature differenceThe ratio of the total length of time S to the length of time S required for completing the path is 0<S Ratio of Less than or equal to 10 percent, which means that the transportation state of the cold chain car is advanced when 10 percent<S Ratio of When the transportation state of the cold chain car is less than or equal to 30 percent, the transportation state of the cold chain car is medium grade, when S Ratio of >At 30%, the transport state of the cold chain car is low.
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