Digital collaborative tracing method and system for cold-chain logistics data

Abstract

The invention relates to the technical field of logistics information traceability, and discloses a digital collaborative traceability method and system for cold-chain logistics data, and the system comprises a commodity cold-chain transportation information acquisition module, a commodity cold-chain transportation real-time traceability information establishment module, and a commodity cold-chain logistics traceability information establishment module. According to the commodity cold chain transportation process time point, the commodity cold chain transportation process space coordinate and the commodity cold chain transportation process refrigeration characteristic information, the commodity cold chain transportation process refrigeration characteristic information; commodity cold chain transportation scene video information and a target commodity cold chain transportation process real-time state information encryption algorithm application program are combined with data processing to scientifically and reliably construct commodity cold chain transportation process real-time state traceability information; according to the invention, commodity cold chain transportation real-time state information traceability information is safely and efficiently established on the basis of spatial-temporal characteristics and in combination with multiple hybrid encryption algorithms.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of logistics information traceability, in particular to a digital collaborative traceability method and system for cold chain logistics data. BACKGROUND

[0002] Cold chain logistics is a supply chain management mode that maintains a specific low-temperature environment through temperature control technology to ensure the quality stability of perishable and highly sensitive goods during the entire production, storage, transportation and distribution process. Cold chain logistics transportation process needs to establish a logistics traceability system, which realizes the whole chain information recording of goods from raw material procurement to terminal sales through the integration of RFID electronic tags, traceability codes and blockchain technology. The system can automatically collect material distribution data in the production link, real-time positioning information in warehouse transportation and cold chain logistics temperature control parameters to form an unalterable traceability database; at the consumer interaction level, users can query product circulation path, veterinary inspection records and other core quality information through a TV set-top box or mobile terminal to support online recall application of problem products. The application field covers food, medicine, agricultural products and cross-border trade, among which the food industry has realized the whole process traceability of meat products from farms to sales terminals, and the pharmaceutical field has ensured transportation safety through temperature and humidity monitoring; the existing cold chain logistics traceability system cannot realize safe and intelligent construction of commodity cold chain transportation whole process traceability information based on space-time characteristics, reducing the safety and intelligence of commodity cold chain transportation management.

[0003] Chinese invention patent with publication number CN118628008B and publication date 2024.12.10 discloses a logistics material traceability management method and device, which detects a target trolley detection frame based on a logistics video sequence; tracks the position information of the target trolley at different transportation times based on the target trolley detection frame and outputs the tracking result; when the signal data between the target trolley and the base station is detected, the target trolley is positioned based on the signal data using a plurality of base stations, and the position sequence of the target trolley is output; the position sequence is corrected based on the tracking result of the target trolley, and the real motion state of the target trolley is output; however, the above technical solution cannot realize safe and intelligent construction of the whole transportation process information of the material. SUMMARY

[0004] (I) Technical problems solved

[0005] To solve the above problems that the existing cold chain logistics traceability system cannot realize safe and intelligent construction of commodity cold chain transportation whole process traceability information based on space-time characteristics, reduce the safety and intelligence of commodity cold chain transportation management, and achieve the purposes of efficient search of commodity cold chain transportation characteristic information, random intelligent selection of commodity cold chain transportation real-time state information encryption algorithm, dynamic and safe establishment of commodity cold chain transportation real-time state traceability information, intelligent detection of commodity cold chain transportation completion state, and safe and reliable establishment of commodity cold chain logistics traceability information.

[0006] (II) Technical solution

[0007] The application is implemented by the following technical solutions: a digital collaborative traceability method for cold chain logistics data, the method comprising the following steps:

[0008] S1, collecting cold chain transportation commodity characteristic information;

[0009] S2, performing cold chain transportation commodity cold chain transportation characteristic information search processing according to the cold chain transportation commodity characteristic information and different commodity cold chain transportation characteristic information, and generating target commodity cold chain transportation characteristic information;

[0010] S3, respectively collecting commodity cold chain transportation process time points, commodity cold chain transportation process space coordinates, commodity cold chain transportation process refrigeration characteristic information, and commodity cold chain transportation scene video information;

[0011] S4, performing commodity cold chain transportation process real-time state information encryption algorithm application program selection processing based on the commodity cold chain transportation process time points, the commodity cold chain transportation process space coordinates, and a commodity cold chain transportation process information encryption algorithm application program, and generating a target commodity cold chain transportation process real-time state information encryption algorithm application program;

[0012] S5, performing commodity cold chain transportation process real-time state traceability information construction processing according to the commodity cold chain transportation process time points, the commodity cold chain transportation process space coordinates, the commodity cold chain transportation process refrigeration characteristic information, the commodity cold chain transportation scene video information, and the target commodity cold chain transportation process real-time state information encryption algorithm application program, and generating target commodity cold chain transportation process real-time state traceability information;

[0013] S6, performing commodity cold chain transportation completion state detection processing according to the target commodity cold chain transportation characteristic information and the commodity cold chain transportation process space coordinates, and generating target commodity cold chain transportation completion state detection data; when not completed, repeating steps S3-S6 until the commodity cold chain transportation completion state detection result is completed;

[0014] S7, when completed, obtain the target commodity cold chain transportation process real-time state traceability information for commodity cold chain logistics traceability information construction processing, and construct the target commodity cold chain logistics traceability information.

[0015] Preferably, the operation steps of collecting cold chain transportation commodity characteristic information are as follows:

[0016] S11, the characteristic text information of cold chain logistics management platform data input dialog box is collected online, and the cold chain transportation commodity characteristic information is generated, which includes the name information, specification and model information, quantity information, sender information, receiver information and cold chain transportation batch information of the commodity.

[0017] Preferably, according to the cold chain transportation commodity characteristic information and different commodity cold chain transportation characteristic information, the operation steps of cold chain transportation commodity cold chain transportation characteristic information search processing to generate target commodity cold chain transportation characteristic information are as follows:

[0018] S21, different commodity cold chain transportation characteristic information set is established Wherein e u represents the different commodity cold chain transportation characteristic information corresponding to the u kind of cold chain transportation commodity type, represents the maximum value of the number of cold chain transportation commodity types, which represents the index data type used to search the commodity cold chain transportation characteristic information, which is mainly composed of the name information, specification and model information, quantity information, sender information, receiver information and cold chain transportation batch information of the cold chain transportation commodity; The cold chain transportation of the different commodity cold chain transportation characteristic information includes the cold storage temperature, cold storage humidity requirement, cold chain transportation origin space coordinate and cold chain transportation destination space coordinate;

[0019] S22, the Aho-Corasick search algorithm is used to match the cold chain transportation commodity characteristic information with the different commodity cold chain transportation characteristic information e u in the different commodity cold chain transportation characteristic information set E, search out the different commodity cold chain transportation characteristic information e u corresponding to the cold chain transportation commodity characteristic information, and generate target commodity cold chain transportation characteristic information through data identification.

[0020] Preferably, the operation steps of collecting commodity cold chain transportation process time point, commodity cold chain transportation process space coordinate, commodity cold chain transportation process cold storage characteristic information and commodity cold chain transportation scene video information are as follows:

[0021] S31, collecting time point information of the cold chain transportation commodity in the cold chain transportation process through the time measurement module of the cold chain logistics management platform online, and generating commodity cold chain transportation process time points, the unit of the commodity cold chain transportation process time points including year, month, day, hour, minute and second;

[0022] Collecting real-time spatial coordinate information of the cold chain transportation commodity in the cold chain transportation process based on the time information corresponding to the commodity cold chain transportation process time points through the position sensor, and generating commodity cold chain transportation process spatial coordinates;

[0023] Collecting refrigeration environment characteristic information of the cold chain transportation commodity in the cold chain transportation process based on the time information and spatial coordinate information corresponding to the commodity cold chain transportation process time points and the commodity cold chain transportation process spatial coordinates through the environment sensor online, and generating commodity cold chain transportation process refrigeration characteristic information; the environment sensor includes a temperature sensor and a humidity sensor, and the commodity cold chain transportation process refrigeration characteristic information includes temperature information and humidity information of the commodity refrigeration environment;

[0024] Collecting commodity refrigeration internal environment scene video and commodity refrigeration external environment scene video of the cold chain transportation commodity in the cold chain transportation process based on the time information and spatial coordinate information corresponding to the commodity cold chain transportation process time points and the commodity cold chain transportation process spatial coordinates through the cloud lens online, and generating commodity cold chain transportation scene video information.

[0025] Preferably, based on the commodity cold chain transportation process time points, the commodity cold chain transportation process spatial coordinates and the commodity cold chain transportation process information encryption algorithm application program, the encryption algorithm application program selection process required for the real-time state information encryption of the commodity cold chain transportation process is generated, and the operation steps of the target commodity cold chain transportation process real-time state information encryption algorithm application program are as follows:

[0026] S41, establishing a set of commodity cold chain transportation process information encryption algorithm application programs F=(f1,…,f v ,…,f τ ), v=1,2,3,…,τ; wherein f v represents the commodity cold chain transportation process information encryption algorithm application program corresponding to the vth commodity cold chain transportation process information encryption algorithm type, τ represents the maximum value of the number of commodity cold chain transportation process information encryption algorithm types, the commodity cold chain transportation process information encryption algorithm type includes AES information encryption algorithm, SM4 information encryption algorithm, AES information encryption algorithm, RSA information encryption algorithm, ECC information encryption algorithm, SM2 information encryption algorithm, SHA-256 information encryption algorithm and SHA-3 information encryption algorithm; the commodity cold chain transportation process information encryption algorithm application program represents the application program information for different types of commodity cold chain transportation process information encryption algorithms;

[0027] S42, randomly search out a kind of commodity cold chain transportation process information encryption algorithm application program f corresponding to the commodity cold chain transportation process information encryption algorithm of the commodity cold chain transportation process time point, the time point information and the spatial coordinate information corresponding to the spatial coordinate of the commodity cold chain transportation process space coordinate in the commodity cold chain transportation process information encryption algorithm application program set F v And generate target commodity cold chain transportation process real-time state information encryption algorithm application program through data identification, the specific operation steps of executing the target commodity cold chain transportation process real-time state information encryption algorithm application program are as follows:

[0028] S421, initialization, update algorithm maximum iteration number T;

[0029] S422, exploration stage, which mainly searches the commodity cold chain transportation process information encryption algorithm application program f in the search space of the commodity cold chain transportation process information encryption algorithm application program set F v Global search and randomly search out any kind of commodity cold chain transportation process information encryption algorithm application program f under the condition of the commodity cold chain transportation process time point, the time point information and the spatial coordinate information corresponding to the spatial coordinate of the commodity cold chain transportation process space coordinate v The search mathematical formula is Wherein, α represents a random number in the interval (0, 1), α represents the probability of determining the encryption algorithm search gorilla individual selection migration mechanism to the unknown position; Λ (t+1) is the candidate position of the commodity cold chain transportation process information encryption algorithm application program f randomly searched out by the encryption algorithm search gorilla individual in the search space of the commodity cold chain transportation process information encryption algorithm application program set F under the condition of the commodity cold chain transportation process time point, the time point information and the spatial coordinate information corresponding to the spatial coordinate of the commodity cold chain transportation process space coordinate in the t+1th iteration v ; And Respectively represent the upper boundary and the lower boundary of the search space of the commodity cold chain transportation process information encryption algorithm application program set F where the encryption algorithm search gorilla is; Λ (t) represents the candidate position of the commodity cold chain transportation process information encryption algorithm application program f randomly searched out by the encryption algorithm search gorilla individual in the search space of the commodity cold chain transportation process information encryption algorithm application program set F under the condition of the commodity cold chain transportation process time point, the time point information and the spatial coordinate information corresponding to the spatial coordinate of the commodity cold chain transportation process space coordinate in the tth iteration v ; r(t) represents the tth iteration of the encryption algorithm search gorilla randomly selected encryption algorithm search gorilla individual in the search space of the set of commodity cold chain transportation process information encryption algorithm application programs F randomly searches any one of the commodity cold chain transportation process information encryption algorithm application programs f under the conditions of the time point and the spatial coordinate information corresponding to the time point of the commodity cold chain transportation process spatial coordinates v of the candidate position; r1, r2, r3, rand respectively represent random numbers in the value range of (0, 1) of algorithm iteration update; Φ, Ξ, Ψ represent algorithm iteration update adjustment factors; at the end of the exploration stage, the fitness values of all Λ(t+1) encryption algorithm search gorilla individuals are calculated, if the fitness value satisfies Λ(t+1) > Λ(t), then the Λ(t+1) encryption algorithm search gorilla individual is used to replace the Λ(t) encryption algorithm search gorilla individual, and the optimal individual encryption algorithm search gorilla generated in the exploration stage is regarded as a silver-backed encryption algorithm search gorilla, that is, a commodity cold chain transportation process information encryption algorithm application program f is randomly searched in the search space of the set of commodity cold chain transportation process information encryption algorithm application programs F under the conditions of the time point and the spatial coordinate information corresponding to the time point of the commodity cold chain transportation process spatial coordinates v ;

[0030] S423, development stage, the development stage adopts two behaviors of following the silver-backed encryption algorithm search gorilla and competing with adult female encryption algorithm search gorillas;

[0031] S4231, follow the silver-backed encryption algorithm search gorilla, if Φ ≥ ∫, the encryption algorithm search gorilla individual selects the mechanism of following the silver-backed encryption algorithm search gorilla, and a commodity cold chain transportation process information encryption algorithm application program f is randomly searched in the search space of the set of commodity cold chain transportation process information encryption algorithm application programs F under the conditions of the time point and the spatial coordinate information corresponding to the time point of the commodity cold chain transportation process spatial coordinates v , wherein Φ represents an algorithm iteration update adjustment factor, and ∫ represents a weight factor of the encryption algorithm search gorilla population selecting the behaviors of following the silver-backed encryption algorithm search gorilla and competing with adult female encryption algorithm search gorillas; the selected following silver-backed encryption algorithm search gorilla behavior simulation calculation formula is Λ(t+1) = Ξ × Π × (Λ(t) - Λ best ) + Λ(t), wherein Λ bestThe silver-backed encryption algorithm search gorilla individual randomly searches any one of the commodity cold-chain transportation process information encryption algorithm application programs f in the search space of the commodity cold-chain transportation process information encryption algorithm application program set F under the condition of the time point of the commodity cold-chain transportation process and the time point information and spatial coordinate information corresponding to the spatial coordinate of the commodity cold-chain transportation process v ; Π represents a control factor for simulating the following silver-backed encryption algorithm search gorilla behavior;

[0032] S4232, if Φ < ∫, the following competition adult female encryption algorithm search gorilla mechanism is selected, the encryption algorithm search gorilla individual in puberty competes with other male encryption algorithm search gorillas in the selection of adult females and randomly searches any one of the commodity cold-chain transportation process information encryption algorithm application programs f in the search space of the commodity cold-chain transportation process information encryption algorithm application program set F under the condition of the time point of the commodity cold-chain transportation process and the time point information and spatial coordinate information corresponding to the spatial coordinate of the commodity cold-chain transportation process v ; the competition behavior simulation calculation formula is Λ(t+1) = Λ best -(Λ best ×◇-Λ(t)×◇)×γ, where ◇ is used to simulate the impact force of the male encryption algorithm search gorilla, and γ is a coefficient vector of the violence degree in the conflict; at the end of the development stage, the fitness value of all Λ(t+1) encryption algorithm search gorilla individuals is calculated, if the fitness value satisfies Λ(t+1) > Λ(t), the Λ(t+1) encryption algorithm search gorilla individual is used to replace the Λ(t) encryption algorithm search gorilla individual, and the optimal male encryption algorithm search gorilla generated in this stage is regarded as the silver-backed encryption algorithm search gorilla, that is, any one of the commodity cold-chain transportation process information encryption algorithm application programs f is randomly searched in the search space of the commodity cold-chain transportation process information encryption algorithm application program set F under the condition of the time point of the commodity cold-chain transportation process and the time point information and spatial coordinate information corresponding to the spatial coordinate of the commodity cold-chain transportation process v ;

[0033] S424, the maximum number of iterations is satisfied, and any one of the commodity cold-chain transportation process information encryption algorithm application programs f is outputted under the condition of the time point of the commodity cold-chain transportation process and the time point information and spatial coordinate information corresponding to the spatial coordinate of the commodity cold-chain transportation process v ;

[0034] S425, the commodity cold-chain transportation process information encryption algorithm application program f v outputted in the S424 step is subjected to data mark generation to generate a target commodity cold-chain transportation process real-time state information encryption algorithm application program.

[0035] Preferably, the target commodity cold chain transportation process real-time state information encryption algorithm application program is used for commodity cold chain transportation process real-time state traceability information construction processing according to the commodity cold chain transportation process time point, the commodity cold chain transportation process space coordinates, the commodity cold chain transportation process refrigeration characteristic information, the commodity cold chain transportation scene video information and the target commodity cold chain transportation process real-time state information, and the operation steps of generating the target commodity cold chain transportation process real-time state traceability information are as follows:

[0036] S51, obtain the commodity cold chain transportation process time point, the commodity cold chain transportation process space coordinates, the commodity cold chain transportation process refrigeration characteristic information, the commodity cold chain transportation scene video information and the target commodity cold chain transportation process real-time state information encryption algorithm application program;

[0037] S52, the target commodity cold chain transportation process real-time state information encryption algorithm application program is used for respectively carrying out data encryption processing and data encryption processing data combination identification processing of time point information, space coordinate information, refrigeration characteristic information and scene video information of the commodity cold chain transportation process on the commodity cold chain transportation process time point, the commodity cold chain transportation process space coordinates, the commodity cold chain transportation process refrigeration characteristic information, the commodity cold chain transportation scene video information, and constructing the target commodity cold chain transportation process real-time state traceability information.

[0038] Preferably, the target commodity cold chain transportation feature information and the commodity cold chain transportation process space coordinates are obtained according to the target commodity cold chain transportation feature information and the commodity cold chain transportation process space coordinates, and the operation steps of repeating S3-S6 steps until the commodity cold chain transportation completion state detection result is complete when not complete are as follows:

[0039] S61, obtain the target commodity cold chain transportation feature information and the commodity cold chain transportation process space coordinates;

[0040] S62, the Rabin-Karp search algorithm is used to search the cold chain transportation destination space coordinate information from the target commodity cold chain transportation feature information according to the cold chain transportation destination keyword, and the space coordinate value comparison is carried out with the commodity cold chain transportation process space coordinates, and the target commodity cold chain transportation completion state detection data is generated according to the space coordinate value comparison result;

[0041] When the destination space coordinate information in the target commodity cold chain transportation feature information and the commodity cold chain transportation process space coordinates are successfully compared in space coordinate value, it means that the cold chain transportation commodity reaches the cold chain transportation destination, and the target commodity cold chain transportation completion state detection data is output as complete;

[0042] When the destination spatial coordinate information in the target commodity cold chain transportation feature information and the spatial coordinate value in the commodity cold chain transportation process spatial coordinate are not successfully compared, indicating that the cold chain transportation commodity has not arrived at the cold chain transportation destination, the target commodity cold chain transportation completion state detection data is output as incomplete; at this time, steps S3-S6 are repeatedly executed until the target commodity cold chain transportation completion state detection data is complete.

[0043] Preferably, when complete, the target commodity cold chain transportation process real-time state traceability information is acquired for commodity cold chain logistics traceability information construction processing, and the target commodity cold chain logistics traceability information is constructed. The operation steps are as follows:

[0044] S71, when the target commodity cold chain transportation completion state detection data is complete, all target commodity cold chain transportation process real-time state traceability information constructed in step S52 is arranged and combined in ascending order according to the time point value of the commodity cold chain transportation process, and target commodity cold chain logistics traceability information is constructed. The target commodity cold chain logistics traceability information represents the data encryption combination of the time point information, spatial coordinate information, cold storage feature information and scene video information of the commodity cold chain transportation process from the cold chain transportation starting location to the destination location.

[0045] A digital collaborative tracing system for cold chain logistics data is used to realize the method of digital collaborative tracing of cold chain logistics data. The system includes a commodity cold chain transportation information acquisition module, a commodity cold chain transportation real-time traceability information establishment module, and a commodity cold chain logistics traceability information establishment module.

[0046] The commodity cold chain transportation information acquisition module includes a cold chain transportation commodity feature information acquisition unit, a different commodity cold chain transportation feature information storage unit, and a commodity cold chain transportation feature information search unit.

[0047] The cold chain transportation commodity feature information acquisition unit acquires cold chain transportation commodity feature information through a cold chain logistics management platform data input dialog box. The different commodity cold chain transportation feature information storage unit is used to store different commodity cold chain transportation feature information. The commodity cold chain transportation feature information search unit searches the cold chain transportation feature information of the cold chain transportation commodity according to the cold chain transportation commodity feature information and different commodity cold chain transportation feature information, and generates target commodity cold chain transportation feature information.

[0048] The commodity cold chain transportation real-time traceability information establishing module includes a commodity cold chain transportation process time acquisition unit, a commodity cold chain transportation process location acquisition unit, a commodity cold chain transportation process refrigeration characteristic information acquisition unit, a commodity cold chain transportation scene video information acquisition unit, a commodity cold chain transportation process information encryption algorithm application program storage unit, a commodity cold chain transportation process real-time state information encryption algorithm searching unit, a commodity cold chain transportation process real-time state traceability information establishing unit, and a commodity cold chain transportation completion state detection unit.

[0049] The commodity cold chain transportation process time acquisition unit acquires a commodity cold chain transportation process time point through a time measurement module in a cold chain logistics management platform. The commodity cold chain transportation process location acquisition unit acquires a commodity cold chain transportation process spatial coordinate through a position sensor. The commodity cold chain transportation process refrigeration characteristic information acquisition unit acquires commodity cold chain transportation process refrigeration characteristic information through an environment sensor. The commodity cold chain transportation scene video information acquisition unit acquires commodity cold chain transportation scene video information through a cloud lens. The commodity cold chain transportation process information encryption algorithm application program storage unit is configured to store a commodity cold chain transportation process information encryption algorithm application program. The commodity cold chain transportation process real-time state information encryption algorithm searching unit selects an encryption algorithm application program required for commodity cold chain transportation process real-time state information encryption based on the commodity cold chain transportation process time point, the commodity cold chain transportation process spatial coordinate, and the commodity cold chain transportation process information encryption algorithm application program, generates a target commodity cold chain transportation process real-time state information encryption algorithm application program, and generates target commodity cold chain transportation process real-time state traceability information according to the commodity cold chain transportation process time point, the commodity cold chain transportation process spatial coordinate, the commodity cold chain transportation process refrigeration characteristic information, the commodity cold chain transportation scene video information, and the target commodity cold chain transportation process real-time state information encryption algorithm application program. The commodity cold chain transportation completion state detection unit detects a commodity cold chain transportation completion state based on the target commodity cold chain transportation characteristic information and the commodity cold chain transportation process spatial coordinate, and generates target commodity cold chain transportation completion state detection data.

[0050] The commodity cold chain logistics traceability information establishing module includes a commodity cold chain transportation process real-time state traceability information acquisition unit and a commodity cold chain logistics traceability information constructing unit.

[0051] The commodity cold chain transportation process real-time state traceability information acquisition unit is configured to acquire the target commodity cold chain transportation process real-time state traceability information.

[0052] (III) Beneficial Effects

[0053] The application provides a cold chain logistics data digital collaborative tracing method and system.

[0054] I. The cold chain transportation commodity information is collected through a cold chain logistics management platform data input dialog box, which provides reliable data support for customized search of target commodity cold chain transportation characteristic information; the target commodity cold chain transportation characteristic information is efficiently and accurately searched according to the cold chain transportation commodity characteristic information, intelligent search algorithm and scientifically stored different commodity cold chain transportation characteristic information, the preset cold chain transportation characteristic information of the commodity is efficiently searched, and the efficiency of cold chain logistics information management is improved.

[0055] II. The time point information, spatial coordinate information, cold storage characteristic information and scene video information of the commodity cold chain transportation process are efficiently and accurately monitored from the cold chain transportation starting location to the destination location by using a time measurement module, a position sensor, an environment sensor and a cloud lens in the cold chain logistics management platform; the commodity cold chain transportation process real-time state information encryption algorithm tool is dynamically and randomly processed based on the time point of the commodity cold chain transportation process, the spatial coordinates of the commodity cold chain transportation process, the artificial intelligence recognition algorithm and the commodity cold chain transportation process information encryption algorithm application program based on big data storage, the real-time state information encryption algorithm of the commodity cold chain transportation process is selected based on the time and space characteristics, the commodity cold chain transportation real-time state information traceability information is constructed based on the time point of the commodity cold chain transportation process, the spatial coordinates of the commodity cold chain transportation process, the cold storage characteristic information of the commodity cold chain transportation process, the commodity cold chain transportation scene video information and the target commodity cold chain transportation process real-time state information encryption algorithm application program, and the data processing is scientifically and reliably constructed, the commodity cold chain transportation real-time state information traceability information is safely and efficiently established based on the time and space characteristics and combined with a plurality of hybrid encryption algorithms, the completion state of the commodity cold chain transportation is intelligently detected and processed based on the target commodity cold chain transportation characteristic information and the spatial coordinates of the commodity cold chain transportation process, the commodity cold chain logistics is self-supervised, and the intelligence and safety of the commodity cold chain logistics information processing are improved.

[0056] III. Through autonomous and efficient collection of target commodity cold chain transportation process real-time state traceability information and combination of data processing science, target commodity cold chain logistics traceability information is constructed, and safe and efficient establishment of commodity cold chain logistics traceability information based on space-time characteristics is realized, and the intelligentization and safety of the cold chain logistics data traceability system are improved. BRIEF DESCRIPTION OF DRAWINGS

[0057] Fig. 1 A module schematic diagram of the digital collaborative tracing system of cold chain logistics data provided by the application is provided.

[0058] Fig. 2 A flowchart of the digital collaborative tracing method of cold chain logistics data provided by the application is provided. DETAILED DESCRIPTION

[0059] The technical solutions in the embodiments of the application will be described clearly and completely below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor fall within the protection scope of the application.

[0060] The embodiments of the digital collaborative tracing method and system of cold chain logistics data are as follows:

[0061] Embodiment 1

[0062] Please refer to Figs. 1-2 A digital collaborative tracing method of cold chain logistics data, the method comprising the following steps:

[0063] S1, collecting cold chain transportation commodity characteristic information;

[0064] S2, performing cold chain transportation commodity cold chain transportation characteristic information search processing according to the cold chain transportation commodity characteristic information and different commodity cold chain transportation characteristic information, and generating target commodity cold chain transportation characteristic information;

[0065] S3, collecting commodity cold chain transportation process time points, commodity cold chain transportation process space coordinates, commodity cold chain transportation process refrigeration characteristic information and commodity cold chain transportation scene video information, respectively;

[0066] S4, performing encryption algorithm application selection processing required for commodity cold chain transportation process real-time state information encryption based on the commodity cold chain transportation process time points, the commodity cold chain transportation process space coordinates and a commodity cold chain transportation process information encryption algorithm application program, and generating a target commodity cold chain transportation process real-time state information encryption algorithm application program;

[0067] S5, according to the commodity cold chain transportation process time point, commodity cold chain transportation process space coordinates, commodity cold chain transportation process cold storage characteristic information, commodity cold chain transportation scene video information and target commodity cold chain transportation process real-time state information encryption algorithm application program for commodity cold chain transportation process real-time state traceability information construction processing, generating target commodity cold chain transportation process real-time state traceability information;

[0068] S6, according to the target commodity cold chain transportation characteristic information, commodity cold chain transportation process space coordinates, the commodity cold chain transportation completion state detection processing is generated; When not completed, repeat S3-S6 steps until the commodity cold chain transportation completion state detection result is completed;

[0069] S7, when completed, the target commodity cold chain transportation process real-time state traceability information is obtained to construct the commodity cold chain logistics traceability information, and the target commodity cold chain logistics traceability information is constructed.

[0070] Further, please refer to Figs. 1-2 The operation steps of collecting cold chain transportation commodity characteristic information are as follows:

[0071] S11, the characteristic text information of cold chain transportation commodity is collected online through the data input dialog box of cold chain logistics management platform, and the cold chain transportation commodity characteristic information is generated. The cold chain transportation commodity characteristic information includes the name information, specification and model information, quantity information, sender information, receiver information and cold chain transportation batch information of the commodity.

[0072] According to the cold chain transportation commodity characteristic information and different commodity cold chain transportation characteristic information, the operation steps of cold chain transportation commodity cold chain transportation characteristic information search processing are as follows:

[0073] S21, different commodity cold chain transportation characteristic information set Wherein e u represents the different commodity cold chain transportation characteristic information corresponding to the u kind of cold chain transportation commodity type, represents the maximum value of the number of cold chain transportation commodity types. Cold chain transportation commodity type represents the index data type formed by combining the name information, specification and model information, quantity information, sender information, receiver information and cold chain transportation batch information of cold chain transportation commodity, which is used to search the commodity cold chain transportation characteristic information. Different commodity cold chain transportation characteristic information includes the cold storage temperature, cold storage humidity requirement, cold chain transportation origin space coordinates and cold chain transportation destination space coordinates of the cold chain transportation of the commodity;

[0074] S22, adopt Aho-Corasick search algorithm to match the cold chain transportation commodity characteristic information with different commodity cold chain transportation characteristic information e in the set E u The commodity characteristic keyword matching is performed, and different commodity cold chain transportation characteristic information e corresponding to the cold chain transportation commodity characteristic information is searched out u And the target commodity cold chain transportation characteristic information is generated through data identification.

[0075] Through the cold chain transportation commodity characteristic information acquisition unit, the cold chain logistics management platform data input dialog box is dynamically acquired to collect cold chain transportation commodity information, and reliable data support is provided for customized search of target commodity cold chain transportation characteristic information; the commodity cold chain transportation characteristic information search unit combines intelligent search algorithm with scientific storage of different commodity cold chain transportation characteristic information according to the cold chain transportation commodity characteristic information to efficiently and accurately search the target commodity cold chain transportation characteristic information, realizes efficient search of commodity preset cold chain transportation characteristic information, and improves the efficiency of cold chain logistics information management.

[0076] Further, please refer to Figs. 1-2 The operation steps of collecting the commodity cold chain transportation process time point, the commodity cold chain transportation process space coordinate, the commodity cold chain transportation process refrigeration characteristic information and the commodity cold chain transportation scene video information are as follows:

[0077] S31, through the time measurement module in the cold chain logistics management platform, the time point information of the cold chain transportation commodity in the cold chain transportation process is collected online, and the commodity cold chain transportation process time point is generated. The unit of the commodity cold chain transportation process time point includes year, month, day, hour, minute and second;

[0078] Through the position sensor, the real-time space coordinate information of the cold chain transportation commodity in the cold chain transportation process is collected online based on the time information corresponding to the commodity cold chain transportation process time point, and the commodity cold chain transportation process space coordinate is generated;

[0079] Through the environment sensor, the refrigeration environment characteristic information of the cold chain transportation commodity in the cold chain transportation process is collected online based on the time information and space coordinate information corresponding to the commodity cold chain transportation process time point and the commodity cold chain transportation process space coordinate, and the commodity cold chain transportation process refrigeration characteristic information is generated; the environment sensor includes a temperature sensor and a humidity sensor, and the commodity cold chain transportation process refrigeration characteristic information includes temperature information and humidity information of the commodity refrigeration environment;

[0080] Through the cloud lens, the commodity cold chain transportation scene video and the commodity cold chain transportation scene video are collected online based on the time information and space coordinate information corresponding to the commodity cold chain transportation process time point and the commodity cold chain transportation process space coordinate, and the commodity cold chain transportation scene video information is generated.

[0081] The operation steps of selecting the encryption algorithm application program required for the real-time state information encryption of the target commodity cold chain transportation process based on the commodity cold chain transportation process time point, commodity cold chain transportation process spatial coordinates and commodity cold chain transportation process information encryption algorithm application program are as follows:

[0082] S41, establish a commodity cold chain transportation process information encryption algorithm application program set F = (f1,…, f v ,…,f τ ), v = 1, 2, 3,…, τ; wherein f v represents the commodity cold chain transportation process information encryption algorithm application program corresponding to the vth commodity cold chain transportation process information encryption algorithm type, τ represents the maximum value of the number of commodity cold chain transportation process information encryption algorithm types, and the commodity cold chain transportation process information encryption algorithm types include AES information encryption algorithm, SM4 information encryption algorithm, AES information encryption algorithm, RSA information encryption algorithm, ECC information encryption algorithm, SM2 information encryption algorithm, SHA-256 information encryption algorithm and SHA-3 information encryption algorithm; the commodity cold chain transportation process information encryption algorithm application program represents the application program information for different types of commodity cold chain transportation process information encryption algorithms;

[0083] S42, randomly search for a commodity cold chain transportation process information encryption algorithm application program f v corresponding to a commodity cold chain transportation process information encryption algorithm in the commodity cold chain transportation process information encryption algorithm application program set F based on the commodity cold chain transportation process time point, the time point information and spatial coordinate information corresponding to the commodity cold chain transportation process spatial coordinates, and generate a target commodity cold chain transportation process real-time state information encryption algorithm application program through data identification, and the specific operation steps of executing the target commodity cold chain transportation process real-time state information encryption algorithm application program are as follows:

[0084] S421, initialization, update the maximum number of iterations T of the algorithm;

[0085] S422, exploration stage, which mainly performs global search on the commodity cold chain transportation process information encryption algorithm application program f v in the search space of the commodity cold chain transportation process information encryption algorithm application program set F, and randomly searches for any commodity cold chain transportation process information encryption algorithm application program f v under the condition of the commodity cold chain transportation process time point, the time point information and spatial coordinate information corresponding to the commodity cold chain transportation process spatial coordinates, and the search mathematical formula is Wherein α represents a random number in the interval (0, 1), α represents the probability of the encryption algorithm search gorilla individual selection migration mechanism to the unknown position; Λ(t+1) is the search space of the commodity cold chain transportation process information encryption algorithm application set F, and the search space of the commodity cold chain transportation process information encryption algorithm application set F is randomly searched out at the commodity cold chain transportation process time point, the time point information and the spatial coordinate information corresponding to the spatial coordinate information of the commodity cold chain transportation process under the condition of the commodity cold chain transportation process information encryption algorithm application program f v ; And Respectively represent the upper boundary and the lower boundary of the encryption algorithm search gorilla in the search space of the commodity cold chain transportation process information encryption algorithm application set F; Λ(t) represents the candidate position of the commodity cold chain transportation process information encryption algorithm application program f v ; r Λ(t) represents the candidate position of the commodity cold chain transportation process information encryption algorithm application program f v ; r1, r2, r3 and rand respectively represent random numbers in the interval (0, 1); Φ, Ξ and Ψ represent algorithm iteration update adjustment factors; at the end of the exploration stage, the fitness values of all Λ(t+1) encryption algorithm search gorillas are calculated, if the fitness value meets Λ(t+1)>Λ(t), the Λ(t+1) encryption algorithm search gorilla is used to replace the Λ(t) encryption algorithm search gorilla, and the optimal individual encryption algorithm search gorilla generated in the exploration stage is regarded as the silver back encryption algorithm search gorilla, that is, the commodity cold chain transportation process information encryption algorithm application program f v ;

[0086] S423, development stage, the development stage adopts two behaviors of following the silver back encryption algorithm search gorilla and competing with adult female encryption algorithm search gorillas;

[0087] S4231, follow silver back encryption algorithm search gorillas, if Φ ≥ ∫, encryption algorithm search gorilla individual to choose follow silver back encryption algorithm search gorillas mechanism, in the commodity cold chain transport process information encryption algorithm application set F search space in the commodity cold chain transport process time point, commodity cold chain transport process space coordinates corresponding time point information and space coordinate information conditions under the random search of any kind of commodity cold chain transport process information encryption algorithm application f v , wherein Φ represents the algorithm iteration update adjustment factor, ∫ represents the encryption algorithm search gorilla population selection follow silver back encryption algorithm search gorillas and the weight factor of competing adult female encryption algorithm search gorillas; the selection of follow silver back encryption algorithm search gorillas behavior simulation calculation formula is Λ (t+1) = Ξ × Π × (Λ (t) - Λ best ) + Λ (t), wherein Λ best represents the best candidate position of silver back encryption algorithm search gorilla individual in the commodity cold chain transport process information encryption algorithm application set F search space in the commodity cold chain transport process time point, commodity cold chain transport process space coordinates corresponding time point information and space coordinate information conditions under the random search of any kind of commodity cold chain transport process information encryption algorithm application f v ; Π represents the control factor of simulating follow silver back encryption algorithm search gorillas behavior;

[0088] S4232, competing adult female, if Φ < ∫, then choose follow competing adult female encryption algorithm search gorillas mechanism, enter the encryption algorithm search gorilla individual and other male encryption algorithm search gorillas in the problem of selecting adult female and in the commodity cold chain transport process information encryption algorithm application set F search space in the commodity cold chain transport process time point, commodity cold chain transport process space coordinates corresponding time point information and space coordinate information conditions under the random search of any kind of commodity cold chain transport process information encryption algorithm application f v , competing behavior simulation calculation formula is Λ (t+1) = Λ best - (Λ bestX o - A (t) X o ) X g, wherein o is used to simulate the impact force of the male encryption algorithm gorilla searching, and g is the coefficient vector of the violence degree in the conflict; at the end of the development stage, the fitness value of all A (t+1) encryption algorithm gorilla individuals is calculated, if the fitness value meets A (t+1) > A (t), the A (t+1) encryption algorithm gorilla individual is used to replace the A (t) encryption algorithm gorilla individual, and the optimal male encryption algorithm gorilla individual generated in this stage is regarded as the silver-backed encryption algorithm gorilla, that is, any kind of commodity cold chain transportation process information encryption algorithm application program f is randomly searched in the search space of the commodity cold chain transportation process information encryption algorithm application program set F under the conditions of the time point of the commodity cold chain transportation process, the time point information and the spatial coordinate information corresponding to the time point of the commodity cold chain transportation process space coordinate v ;

[0089] S424, the maximum number of iterations is met, and any kind of commodity cold chain transportation process information encryption algorithm application program f is output under the conditions of the time point of the commodity cold chain transportation process, the time point information and the spatial coordinate information corresponding to the time point of the commodity cold chain transportation process space coordinate v ;

[0090] S425, the commodity cold chain transportation process information encryption algorithm application program f output in the step S424 is used as the target commodity cold chain transportation process real-time state information encryption algorithm application program. v The target commodity cold chain transportation process real-time state information encryption algorithm application program is generated through data identification.

[0091] According to the commodity cold chain transportation process time point, the commodity cold chain transportation process space coordinate, the commodity cold chain transportation process cold storage characteristic information, the commodity cold chain transportation scene video information and the target commodity cold chain transportation process real-time state information encryption algorithm application program, the operation steps of constructing the real-time state traceability information of the target commodity cold chain transportation process are as follows:

[0092] S51, the commodity cold chain transportation process time point, the commodity cold chain transportation process space coordinate, the commodity cold chain transportation process cold storage characteristic information, the commodity cold chain transportation scene video information and the target commodity cold chain transportation process real-time state information encryption algorithm application program are acquired;

[0093] S52, the target commodity cold chain transportation process real-time state information encryption algorithm application program is used to perform data encryption processing of the time point information, the spatial coordinate information, the cold storage characteristic information and the scene video information of the commodity cold chain transportation process on the commodity cold chain transportation process time point, the commodity cold chain transportation process space coordinate, the commodity cold chain transportation process cold storage characteristic information and the commodity cold chain transportation scene video information respectively, and data encryption processing and data combination identification processing are performed after the data encryption processing, and the target commodity cold chain transportation process real-time state traceability information is constructed.

[0094] According to the target commodity cold chain transportation feature information, the commodity cold chain transportation process space coordinates, the commodity cold chain transportation completion state detection processing is carried out, and the target commodity cold chain transportation completion state detection data is generated; when it is not completed, the steps S3-S6 are repeatedly executed until the commodity cold chain transportation completion state detection result is completed, and the operation steps are as follows:

[0095] S61, obtaining target commodity cold chain transportation feature information and commodity cold chain transportation process space coordinates;

[0096] S62, using Rabin-Karp search algorithm to search cold chain transportation destination space coordinate information from target commodity cold chain transportation feature information according to cold chain transportation destination keyword, and comparing space coordinate values with commodity cold chain transportation process space coordinates, generating target commodity cold chain transportation completion state detection data according to space coordinate value comparison result;

[0097] When the destination space coordinate information in the target commodity cold chain transportation feature information is successfully compared with the space coordinate values of the commodity cold chain transportation process space coordinates, it means that the cold chain transportation commodity reaches the cold chain transportation destination, and the target commodity cold chain transportation completion state detection data is output as completed.

[0098] When the destination space coordinate information in the target commodity cold chain transportation feature information is not successfully compared with the space coordinate values of the commodity cold chain transportation process space coordinates, it means that the cold chain transportation commodity has not reached the cold chain transportation destination, and the target commodity cold chain transportation completion state detection data is output as not completed; at this time, the steps S3-S6 are repeatedly executed until the target commodity cold chain transportation completion state detection data is completed.

[0099] The time point information, spatial coordinate information, cold storage characteristic information and scene video information of the commodity cold chain transportation process are efficiently and accurately monitored from the cold chain transportation starting location to the destination location by the cooperation of the commodity cold chain transportation process time collection unit, the commodity cold chain transportation process location collection unit, the commodity cold chain transportation process cold storage characteristic information collection unit and the commodity cold chain transportation process cold storage characteristic information collection unit, and the time measurement module, the position sensor, the environment sensor and the cloud lens in the cold chain logistics management platform are used respectively to realize the efficient and accurate monitoring of the time point information, the spatial coordinate information, the cold storage characteristic information and the scene video information of the commodity cold chain transportation process. The commodity cold chain transportation process real-time state information encryption algorithm searching unit dynamically and randomly processes the commodity cold chain transportation process real-time state information encryption algorithm tool based on the time point of the commodity cold chain transportation process, the spatial coordinate of the commodity cold chain transportation process, the artificial intelligence recognition algorithm and the commodity cold chain transportation process information encryption algorithm application program based on big data storage, so as to realize the selection of the commodity cold chain transportation real-time state information encryption algorithm based on the spatiotemporal characteristics of the commodity cold chain transportation process. The commodity cold chain transportation process real-time state traceability information establishing unit constructs the commodity cold chain transportation process real-time state traceability information based on the spatiotemporal characteristics and combined with the mixed encryption algorithm, and realizes the safe and efficient establishment of the commodity cold chain transportation real-time state information traceability information. The commodity cold chain transportation completion state detection unit detects the completion state of the commodity cold chain transportation based on the target commodity cold chain transportation characteristic information and the spatial coordinate of the commodity cold chain transportation process, realizes the self-supervision of the commodity cold chain logistics, and improves the intelligence and safety of the commodity cold chain logistics information processing.

[0100] Further, please refer to Figs. 1-2 When completed, the target commodity cold chain transportation process real-time state traceability information is obtained for commodity cold chain logistics traceability information construction processing, and the operation steps of constructing the target commodity cold chain logistics traceability information are as follows:

[0101] S71, when the target commodity cold chain transportation completion state detection data is complete, the target commodity cold chain transportation process real-time state traceability information constructed in step S52 is arranged in ascending order according to the time point value of the commodity cold chain transportation process, and the target commodity cold chain logistics traceability information is constructed. The target commodity cold chain logistics traceability information represents the data encryption combination processing of the commodity cold chain logistics record information formed by the time point information, the spatial coordinate information, the cold storage characteristic information and the scene video information of the commodity cold chain transportation process from the cold chain transportation starting location to the destination location.

[0102] Through the mutual cooperation between the real-time state traceability information acquisition unit of the commodity cold chain transportation process and the commodity cold chain logistics traceability information construction unit, the target commodity cold chain transportation process real-time state traceability information is autonomously and efficiently collected, and the target commodity cold chain logistics traceability information is constructed in combination with data processing, so that the commodity cold chain logistics traceability information is safely and efficiently established based on the space-time characteristics, and the intelligentization and safety of the cold chain logistics data traceability system are improved.

[0103] Embodiment 2:

[0104] Please refer to Figs. 1-2 A digital collaborative tracing system for cold chain logistics data is used to realize a digital collaborative tracing method for cold chain logistics data. The system includes a commodity cold chain transportation information acquisition module, a commodity cold chain transportation real-time traceability information establishment module, and a commodity cold chain logistics traceability information establishment module.

[0105] The commodity cold chain transportation information acquisition module includes a cold chain transportation commodity characteristic information acquisition unit, a different commodity cold chain transportation characteristic information storage unit, and a commodity cold chain transportation characteristic information search unit.

[0106] The cold chain transportation commodity characteristic information acquisition unit acquires cold chain transportation commodity characteristic information through a cold chain logistics management platform data input dialog box. The different commodity cold chain transportation characteristic information storage unit is used to store different commodity cold chain transportation characteristic information. The commodity cold chain transportation characteristic information search unit performs cold chain transportation commodity cold chain transportation characteristic information search processing according to the cold chain transportation commodity characteristic information and the different commodity cold chain transportation characteristic information, and generates target commodity cold chain transportation characteristic information.

[0107] The commodity cold chain transportation real-time traceability information establishment module includes a commodity cold chain transportation process time acquisition unit, a commodity cold chain transportation process location acquisition unit, a commodity cold chain transportation process refrigeration characteristic information acquisition unit, a commodity cold chain transportation scene video information acquisition unit, a commodity cold chain transportation process information encryption algorithm application program storage unit, a commodity cold chain transportation process real-time state information encryption algorithm search unit, a commodity cold chain transportation process real-time state traceability information establishment unit, and a commodity cold chain transportation completion state detection unit.

[0108] The commodity cold chain transportation process time acquisition unit acquires time points of the commodity cold chain transportation process through a time measurement module in the cold chain logistics management platform; the commodity cold chain transportation process position acquisition unit acquires spatial coordinates of the commodity cold chain transportation process through a position sensor; the commodity cold chain transportation process refrigeration characteristic information acquisition unit acquires refrigeration characteristic information of the commodity cold chain transportation process through an environment sensor; the commodity cold chain transportation scene video information acquisition unit acquires commodity cold chain transportation scene video information through a cloud lens; the commodity cold chain transportation process information encryption algorithm application program storage unit is used for storing a commodity cold chain transportation process information encryption algorithm application program; the commodity cold chain transportation process real-time state information encryption algorithm searching unit selects and processes an encryption algorithm application program required for real-time state information encryption of the commodity cold chain transportation process based on the commodity cold chain transportation process time points, the commodity cold chain transportation process spatial coordinates and the commodity cold chain transportation process information encryption algorithm application program, generates a target commodity cold chain transportation process real-time state information encryption algorithm application program; the commodity cold chain transportation process real-time state traceability information establishing unit constructs real-time state traceability information of the commodity cold chain transportation process according to the commodity cold chain transportation process time points, the commodity cold chain transportation process spatial coordinates, the commodity cold chain transportation process refrigeration characteristic information, the commodity cold chain transportation scene video information and the target commodity cold chain transportation process real-time state information encryption algorithm application program, generates target commodity cold chain transportation process real-time state traceability information; the commodity cold chain transportation completion state detection unit detects the completion state of the commodity cold chain transportation according to the target commodity cold chain transportation characteristic information and the commodity cold chain transportation process spatial coordinates, generates target commodity cold chain transportation completion state detection data.

[0109] The commodity cold chain logistics traceability information establishing module includes a commodity cold chain transportation process real-time state traceability information acquisition unit and a commodity cold chain logistics traceability information constructing unit.

[0110] The commodity cold chain transportation process real-time state traceability information acquisition unit is used for acquiring target commodity cold chain transportation process real-time state traceability information; the commodity cold chain logistics traceability information constructing unit constructs commodity cold chain logistics traceability information according to the target commodity cold chain transportation process real-time state traceability information, and constructs target commodity cold chain logistics traceability information.

[0111] Although the embodiments of the present application have been shown and described, it is to be understood that various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. A method for digital collaborative traceability of cold chain logistics data, characterized in that, The method comprises the following steps: S1, collecting cold chain transportation commodity characteristic information; S2, performing cold chain transportation commodity cold chain transportation characteristic information search processing to generate target commodity cold chain transportation characteristic information; S3, collecting commodity cold chain transportation process time point, commodity cold chain transportation process space coordinate, commodity cold chain transportation process refrigeration characteristic information and commodity cold chain transportation scene video information respectively; S4, performing commodity cold chain transportation process real-time state information encryption required encryption algorithm application program selection processing to generate target commodity cold chain transportation process real-time state information encryption algorithm application program; S5, performing commodity cold chain transportation process real-time state traceability information construction processing to generate target commodity cold chain transportation process real-time state traceability information; S6, performing commodity cold chain transportation completion state detection processing to generate target commodity cold chain transportation completion state detection data; when not completed, repeating steps S3-S6 until the commodity cold chain transportation completion state detection result is completed; S7, when completed, obtaining the target commodity cold chain transportation process real-time state traceability information to perform commodity cold chain logistics traceability information construction processing to construct target commodity cold chain logistics traceability information.

2. The method of claim 1, wherein: The S1 comprises the following steps: S11, collecting cold chain transportation commodity characteristic text information online through a data input dialog box of a cold chain logistics management platform, and generating cold chain transportation commodity characteristic information, wherein the cold chain transportation commodity characteristic information comprises commodity name information, specification and model information, quantity information, sender information, receiver information and cold chain transportation batch information.

3. The method of claim 2, wherein: The S2 comprises the following steps: S21, a set of different commodity cold chain transportation characteristic information E is established, and the E includes e u ; wherein e u represents different commodity cold chain transportation characteristic information corresponding to the u-th cold chain transportation commodity type, and the different commodity cold chain transportation characteristic information includes cold storage temperature, cold storage humidity requirement, cold chain transportation origin space coordinates, and cold chain transportation destination space coordinates of cold chain transportation of the commodity. S22, using Aho-Corasick search algorithm to search the e in the E with the cold chain transportation commodity characteristic information of the S21 u S23, performing commodity characteristic keyword matching, searching out the e corresponding to the cold chain transportation commodity characteristic information of the S22 u S24, generating target commodity cold chain transportation characteristic information through data identification.

4. The method of claim 3, wherein: The S3 comprises the following steps: S31, collecting cold chain transportation commodity time point information in the cold chain transportation process online through a time measurement module in the cold chain logistics management platform, and generating commodity cold chain transportation process time point; Collecting real-time space coordinate information of the cold chain transportation commodity in the cold chain transportation process based on the time information corresponding to the commodity cold chain transportation process time point through a position sensor, and generating commodity cold chain transportation process space coordinate; Collecting cold storage environment characteristic information of the cold chain transportation commodity in the cold chain transportation process based on the time information and space coordinate information corresponding to the commodity cold chain transportation process time point and the commodity cold chain transportation process space coordinate through an environment sensor, and generating commodity cold chain transportation process refrigeration characteristic information; Collecting commodity cold storage internal environment scene video and commodity cold storage external environment scene video of the cold chain transportation commodity in the cold chain transportation process based on the time information and space coordinate information corresponding to the commodity cold chain transportation process time point and the commodity cold chain transportation process space coordinate through a cloud lens, and generating commodity cold chain transportation scene video information.

5. The method of claim 4, wherein: The S4 comprises the following steps: S41, an application set F of commodity cold chain transportation process information encryption algorithm is established, the F includes f v ; wherein f v represents the commodity cold chain transportation process information encryption algorithm application program corresponding to the vth commodity cold chain transportation process information encryption algorithm type. S42, based on the time point of the commodity cold chain transportation process, the time point information and the space coordinate information corresponding to the space coordinate of the commodity cold chain transportation process Random search in the F A kind of commodity cold chain transportation process information encryption algorithm corresponding to the f v And the target commodity cold chain transportation process real-time state information encryption algorithm application program is generated through data identification, and the specific operation steps of executing the target commodity cold chain transportation process real-time state information encryption algorithm application program are as follows: S421, initialization, updating the maximum iteration number T of the algorithm; S422, exploration stage, which is mainly to search the commodity cold chain transportation process information encryption algorithm application program f in the search space of the commodity cold chain transportation process information encryption algorithm application program set F v Global search is performed, and any one of the commodity cold chain transportation process information encryption algorithm application programs f is randomly searched out under the condition of the commodity cold chain transportation process time point, the time point information and the space coordinate information corresponding to the commodity cold chain transportation process space coordinate v ; S423, development stage, two behaviors of searching for gorillas following silver-backed encryption algorithm and searching for gorillas competing with adult females are adopted in the development stage; S4231, follow silver back encryption algorithm search gorilla, if Φ ≥ ∫, the encryption algorithm search gorilla individual selects the mechanism of following silver back encryption algorithm search gorilla, and the search space of the commodity cold chain transportation process information encryption algorithm application program set F is randomly searched under the condition of the commodity cold chain transportation process time point, the time point information and the space coordinate information corresponding to the commodity cold chain transportation process space coordinate in the search space of the commodity cold chain transportation process information encryption algorithm application program set F v Wherein Φ represents the algorithm iteration update adjustment factor, and ∫ represents the weight factor of the encryption algorithm search gorilla population selecting the silver back encryption algorithm search gorilla and the competition adult female encryption algorithm search gorilla. S4232、if Φ < ∫, then select to follow the competing adult female encryption algorithm search gorilla mechanism, into the encryption algorithm search gorilla individual adolescence and other male encryption algorithm search gorilla in the choice of adult female competition and in the search space of the set F of the commodity cold chain transportation process information encryption algorithm application program, at the time point of the commodity cold chain transportation process, the time point information and spatial coordinate information corresponding to the spatial coordinate information of the commodity cold chain transportation process, under the condition of random search of any one of the commodity cold chain transportation process information encryption algorithm application program f v ; S424、satisfy the maximum number of iterations, output in the commodity cold chain transportation process time point, the commodity cold chain transportation process space coordinate corresponding time point information and space coordinate information under the condition of random search out any one of the commodity cold chain transportation process information encryption algorithm application program f v ; S425, the commodity cold chain transportation process information output in step S424 is applied to the encryption algorithm application f v The data identification generates the target commodity cold chain transportation process real-time state information encryption algorithm application program.

6. The method of claim 5, wherein: The S5 comprises the following steps: S51, obtain the commodity cold chain transportation process time point, the commodity cold chain transportation process space coordinate, the commodity cold chain transportation process cold storage characteristic information, the commodity cold chain transportation scene video information and the target commodity cold chain transportation process real-time state information encryption algorithm application program; S52, the target commodity cold chain transportation process real-time state information encryption algorithm application program is used to the commodity cold chain transportation process time point, the commodity cold chain transportation process space coordinate, the commodity cold chain transportation process cold storage characteristic information, the commodity cold chain transportation scene video information respectively carries out the data encryption processing of the time point information, the space coordinate information, the cold storage characteristic information and the scene video information of the data encryption processing and data combination identification processing of commodity cold chain transportation process, and the target commodity cold chain transportation process real-time state traceability information is constructed.

7. The method of claim 6, wherein: The S6 includes the following steps: S61, obtain the target commodity cold chain transportation characteristic information and the commodity cold chain transportation process space coordinate; S62, the Rabin-Karp search algorithm is used to search the cold chain transportation destination space coordinate information from the target commodity cold chain transportation characteristic information according to the cold chain transportation destination keyword, and the space coordinate value comparison is carried out with the commodity cold chain transportation process space coordinate, and the target commodity cold chain transportation completion state detection data is generated according to the space coordinate value comparison result; When the destination space coordinate information in the target commodity cold chain transportation characteristic information is successfully compared with the space coordinate value of the commodity cold chain transportation process, the target commodity cold chain transportation completion state detection data is output as completed; When the destination space coordinate information in the target commodity cold chain transportation characteristic information is not successfully compared with the space coordinate value of the commodity cold chain transportation process, the target commodity cold chain transportation completion state detection data is output as not completed;At this time, the steps of S3-S6 are repeatedly executed until the target commodity cold chain transportation completion state detection data is completed.

8. The method of claim 7, wherein: The S7 includes the following steps: S71, when the target commodity cold chain transportation completion state detection data is completed, all target commodity cold chain transportation process real-time state traceability information constructed in step S52 is arranged and combined in ascending order according to the time point value size of commodity cold chain transportation process, and the target commodity cold chain logistics traceability information is constructed, which represents the commodity cold chain logistics record information formed by the data encryption combination processing of the time point information, the space coordinate information, the cold storage characteristic information and the scene video information of the commodity cold chain transportation process from the cold chain transportation starting location to the destination location.

9. A digital collaborative traceability system for cold chain logistics data, for implementing a method of digital collaborative traceability for cold chain logistics data according to any one of claims 1-8, characterized in that: The system includes a commodity cold chain transportation information acquisition module, a commodity cold chain transportation real-time traceability information establishment module and a commodity cold chain logistics traceability information establishment module.

Images