Blockchain-based post-harvest fruit transportation intelligent management platform and method

Abstract

The application discloses a blockchain-based intelligent management platform and method for postharvest transportation of fruits, and belongs to the technical field of transportation management; after the fruit picking process is completed, the physiological characteristics of the fruits are obtained, the optimal transportation time efficiency weight is calculated, and is written into the blockchain; the real-time running time of the transport vehicle is obtained, the optimal transportation time efficiency weight is called from the blockchain, the real-time transportation state value of the fruits is calculated, a preset threshold value is analyzed, and a temporary supply scheduling mechanism is triggered; the remaining allowable transportation time and the farthest acceptable temporary supply distance of the fruits are calculated; a fruit temporary supply range circle is constructed, and effective transfer cold chain warehouses within the coverage range are screened; a comprehensive index is calculated, and the effective transfer cold chain warehouse with the highest comprehensive index is selected as a target for temporary supply; real-time updating and dynamic management are performed, the dynamic optimization and adaptive management of the fruit transportation process are realized, and the intelligent level and resource utilization efficiency of the overall cold chain transportation are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of transportation management, in particular to a blockchain-based intelligent management platform and method for postharvest transportation of fruits. BACKGROUND

[0002] With the acceleration of global agricultural modernization, the transportation link between fruit picking and consumer's table is becoming increasingly complex and critical. In order to ensure the freshness and quality of fruits, advanced means such as cold chain logistics and information management have been gradually introduced into the traditional transportation method. In recent years, technologies such as Internet of Things, big data and artificial intelligence have also been applied to the postharvest management system of fruits, promoting the transformation of fruit transportation from artificial experience to intelligent decision-making. Especially in the field of cold chain transportation, through temperature and humidity monitoring, path optimization and other measures, the fruit spoilage rate is effectively reduced, and the stability of the overall supply chain is also improved. However, in the current postharvest transportation management system of fruits, most of the technical means still record information and make scheduling decisions in a centralized database, which has the problems of information island, data tampering risk and response lag. In addition, due to the differences in physiological characteristics (such as respiratory intensity, storage tolerance and temperature and humidity sensitivity) of different types of fruits, the transportation management strategy is difficult to match accurately, resulting in some fruits still appearing phenomena such as water loss, rotting and quality change during transportation, affecting the overall commodity value and user experience.

[0003] The prior art attempts to improve fruit management during transportation by setting up a dynamic early warning mechanism or a temporary scheduling strategy, but due to the lack of unified and reliable data basis, these methods often have problems such as untimely execution, insufficient decision basis and limited remedial effect in actual application. In addition, the current fruit transportation management method usually lacks real-time quantitative analysis of fruit transportation timeliness and dynamic scheduling mechanism based on real-time state, making it difficult to adjust the transportation path or replenishment scheme in time even if the transportation abnormality is found, causing the fruit loss to further expand. Especially for temporary replenishment scheduling during transportation, most of the existing solutions rely on artificial experience or static rules, lack real-time assessment of the current physiological state of fruits, and cannot accurately determine the best replenishment node and replenishment warehouse location. SUMMARY

[0004] The purpose of the present application is to provide a blockchain-based intelligent management platform and method for postharvest transportation of fruits to solve the problems raised in the background art.

[0005] In order to solve the above technical problems, the present application provides the following technical solutions:

[0006] The application discloses a blockchain-based intelligent management method for postharvest transportation of fruits, and the method comprises the following steps: S1, obtaining physiological characteristics of the fruits after the fruit picking process is completed; based on the physiological characteristics, calculating the optimal transportation time limit weight of the fruits and writing the optimal transportation time limit weight into a blockchain; S2, obtaining the real-time running time of a transportation vehicle when the postharvest transportation task of the fruits is performed, and calculating the real-time transportation state value of the fruits by calling the optimal transportation time limit weight from the blockchain; S3, based on the real-time transportation state value of the fruits, a preset threshold, analyzing and triggering a temporary supply scheduling mechanism; calculating the remaining allowable transportation time and the farthest acceptable temporary supply distance of the fruits; S4, constructing a fruit temporary supply range circle and screening effective transfer cold chain warehouses within the coverage range; calculating comprehensive indexes and selecting the effective transfer cold chain warehouse with the highest comprehensive index as the target for temporary supply; and performing real-time updating and dynamic management.

[0007] As a preferred scheme of the blockchain-based intelligent management method for postharvest transportation of fruits, when the fruit picking process is completed, the type information of the fruits is obtained, and the physiological characteristics of the fruits of the corresponding type are determined based on the type information and subjected to normalization processing; the physiological characteristics include the respiration intensity, the storage tolerance (data type is a grade score) and the temperature and humidity sensitivity (data type is a grade score) of the fruits of the corresponding type; the respiration intensity, the storage tolerance and the temperature and humidity sensitivity of the i-th fruit subjected to the normalization processing are denoted as BI i , SP i and THS i respectively, and the optimal transportation time limit weight of the i-th fruit is calculated, and the calculation formula is as follows:

[0008]

[0009] wherein, BTW i denotes the optimal transportation time limit weight of the i-th fruit, alpha denotes a preset influence factor of the storage tolerance SP i , beta and gamma respectively denote a preset influence factor of the respiration intensity BI i and an experience coefficient, and delta denotes a preset influence factor of the temperature and humidity sensitivity THS i .

[0010] The higher the storage tolerance SP i , the more storage-tolerant the fruits are, and the transportation time can be moderately relaxed, so that log(SP i +1) is a positive index promoting the transportation time limit; the greater the respiration intensity BI i , the faster the metabolism speed of the fruits, and the fruits are prone to rot, so that the transportation time limit requirement is tighter, and therefore BI i γ has a negative influence on the transportation time limit and needs to be deducted; and the greater the temperature and humidity sensitivity THS iThe higher the respiration intensity, the more likely the fruit is to deteriorate due to environmental changes, and the faster the transportation needs to be completed, which also has a negative impact on the transportation time limit and needs to be deducted; in summary, because the higher the respiration intensity and the higher the temperature and humidity sensitivity, it means that the transportation must be faster, otherwise the fruit is easy to rot, so in the formula, they are deducted as negative factors.

[0011] The best transportation time limit weight BTW of the ith fruit i Write the unique identification code of the ith fruit into the blockchain as tamper-proof traceability data.

[0012] It should be noted that the respiration intensity can reflect the metabolic rate of the fruit per unit time, the higher the respiration intensity, the more likely the fruit is to deteriorate; the storage resistance can reflect the longest storage time of the fruit under normal temperature or refrigeration conditions, the higher the storage resistance, the stronger the fruit preservation ability; the temperature and humidity sensitivity can reflect the tolerance of the fruit to changes in temperature and humidity in the transportation environment, the higher the temperature and humidity sensitivity, the more sensitive the fruit is; the influence factors α, β, γ and δ in the present application and the respiration intensity BI i , the storage resistance SP i and the temperature and humidity sensitivity THS i are set by historical transportation experimental data or expert experience.

[0013] As a preferred scheme of the post-harvest fruit transportation intelligent management method based on the blockchain, when the post-harvest fruit scheduling transportation task is performed, the real-time running time of the transportation vehicle is obtained, and the best transportation time limit weight BTW of the ith fruit is called from the blockchain i , the real-time transportation state value of the ith fruit is calculated, and the calculation formula is as follows:

[0014]

[0015] Wherein, RTS i (t) represents the real-time transportation state value of the ith fruit, t represents the current running time of the transportation vehicle, represents a preset transportation time attenuation coefficient (used to represent the decay rate of the fruit state with transportation time).

[0016] As a preferred scheme of the post-harvest fruit transportation intelligent management method based on the blockchain, the real-time transportation state value threshold θ of the ith fruit is preset, and if the real-time transportation state value RTS i (t) of the ith fruit is less than or equal to the real-time transportation state value threshold θ of the ith fruit, it is determined that the ith fruit needs temporary replenishment, and then the temporary replenishment scheduling mechanism is triggered, and the specific process is as follows:

[0017] The remaining allowed transportation time of the ith fruit is calculated, and the calculation formula is as follows:

[0018]

[0019] wherein, t i,remain represents the remaining allowable transportation time of the i-th fruit product, represents a preset transportation time decay coefficient, t represents the current running time of the transportation vehicle, and θ represents a preset real-time transportation state value threshold of the i-th fruit product;

[0020] based on the remaining allowable transportation time t i,remain of the i-th fruit product, the farthest acceptable temporary replenishment distance of the i-th fruit product is calculated, and the calculation formula is: D i,max = t i,remain × v, wherein, D i,max represents the farthest acceptable temporary replenishment distance of the i-th fruit product, and v represents the average speed of the transportation vehicle.

[0021] As a preferred scheme of the post-harvest fruit transportation intelligent management method based on the blockchain, the farthest acceptable temporary replenishment distances of all kinds of fruit products in the transportation vehicle are obtained, and the smallest farthest acceptable temporary replenishment distance is selected as the radius, and the transportation vehicle is taken as the center of the circle to construct a fruit temporary replenishment range circle.

[0022] All transportation paths of the transportation vehicle for post-harvest scheduling and transportation tasks of fruit products are obtained, and all transfer cold chain warehouses in the transportation paths and the use state information of the transfer cold chain warehouses in the transportation paths are extracted, the use state information including empty warehouse state, partial occupation state and full warehouse state; the a-th transportation path is recorded as P a , the use state information of the b-th transfer cold chain warehouse in the transportation path P a is recorded as the receivable storage space REC b (P a ) of the transfer cold chain warehouse.

[0023] All transfer cold chain warehouses and receivable storage spaces of the transfer cold chain warehouses in the coverage range of the fruit temporary replenishment range circle are screened, if the receivable storage space of the transfer cold chain warehouse is greater than or equal to the storage space of the fruit product, the transfer cold chain warehouse is marked as an effective transfer cold chain warehouse, and the comprehensive index of each effective transfer cold chain warehouse is calculated, and the calculation formula is as follows:

[0024]

[0025] wherein, OT c represents the comprehensive index of the c-th effective transfer cold chain warehouse, d c represents the distance between the c-th effective transfer cold chain warehouse and the transportation vehicle, λ represents a preset distance influence factor, and REC c (P a ) represents the receivable storage space of the transportation path P aThe cth transfer cold chain warehouse can receive the storage space;

[0026] Select the comprehensive index OT c The highest effective transfer cold chain warehouse is selected as the target, temporary replenishment is carried out, the optimal transportation time limit and weight of the fruit after the replenishment is completed are updated in the blockchain, the optimal transportation time limit and weight of the remaining fruits are calculated, and the effective transfer cold chain warehouse is dynamically selected and the transmission path is switched.

[0027] The fruit postharvest transportation intelligent management system based on the blockchain comprises a data acquisition and weight calculation module, a real-time transportation state value calculation module, a scheduling mechanism triggering and distance calculation module, and an index calculation and dynamic management module.

[0028] The data acquisition and weight calculation module: after the fruit picking process is completed, the physiological characteristics of the fruit are acquired; based on the physiological characteristics, the optimal transportation time limit and weight of the fruit are calculated and written into the blockchain;

[0029] The real-time transportation state value calculation module: when the fruit postharvest scheduling and transportation task is performed, the real-time running time of the transportation vehicle is acquired, and the optimal transportation time limit and weight are called from the blockchain to calculate the real-time transportation state value of the fruit;

[0030] The scheduling mechanism triggering and distance calculation module: based on the real-time transportation state value of the fruit, a threshold is preset, the temporary replenishment scheduling mechanism is analyzed and triggered, and the remaining allowable transportation time and the farthest acceptable temporary replenishment distance of the fruit are calculated;

[0031] The index calculation and dynamic management module: a fruit temporary replenishment range circle is constructed, and the effective transfer cold chain warehouses in the coverage range are screened; the comprehensive index is calculated, and the effective transfer cold chain warehouse with the highest comprehensive index is selected as the target for temporary replenishment; real-time updating and dynamic management are performed.

[0032] Further, the data acquisition and weight calculation module comprises a data acquisition unit and a weight calculation unit.

[0033] The data acquisition unit: after the fruit picking process is completed, the type information of the fruit is acquired, and the physiological characteristics of the fruit of the corresponding type are determined based on the type information and normalized; the physiological characteristics include the respiration intensity, storage tolerance and temperature and humidity sensitivity of the fruit of the corresponding type;

[0034] The weight calculation unit: based on the respiration intensity, storage tolerance and temperature and humidity sensitivity of the fruit after normalization, the optimal transportation time limit and weight of the fruit are calculated; the optimal transportation time limit and weight of the fruit are written into the blockchain as unalterable traceability data as the unique identification code of the fruit.

[0035] Further, the real-time transportation state value calculation module comprises a real-time transportation state value calculation unit;

[0036] The real-time transportation state value calculation unit: when performing the postharvest scheduling transportation task, acquires the real-time running time of the transportation vehicle, and calls the optimal transportation time limit weight of the fruit from the blockchain, and calculates the real-time transportation state value of the fruit.

[0037] Further, the scheduling mechanism triggering and distance calculation module comprises a scheduling mechanism triggering unit and a distance calculation unit;

[0038] The scheduling mechanism triggering unit: presets the real-time transportation state value threshold of the fruit, if the real-time transportation state value of the fruit is less than or equal to the real-time transportation state value threshold of the fruit, it is determined that the fruit needs temporary replenishment, and the temporary replenishment scheduling mechanism is triggered;

[0039] The distance calculation unit: calculates the remaining allowable transportation time of the fruit; based on the remaining allowable transportation time of the fruit, the farthest acceptable temporary replenishment distance of the fruit is calculated.

[0040] Further, the index calculation and dynamic management module comprises an index calculation unit and a dynamic management unit;

[0041] The index calculation unit: acquires the farthest acceptable temporary replenishment distance of all kinds of fruits in the transportation vehicle, and selects the smallest farthest acceptable temporary replenishment distance as the radius, taking the transportation vehicle as the center, to construct a fruit temporary replenishment range circle; acquires all transportation paths of the transportation vehicle for the postharvest scheduling transportation task of the fruit, and extracts all transfer cold chain warehouses in the transportation path and the use state information of the transfer cold chain warehouses in the transportation path, the use state information comprising empty warehouse state, partial occupation state and full warehouse state; all transfer cold chain warehouses and acceptable storage spaces of the transfer cold chain warehouses within the coverage range of the fruit temporary replenishment range circle are screened, if the acceptable storage space of the transfer cold chain warehouse is greater than or equal to the storage space of the fruit, the transfer cold chain warehouse is marked as an effective transfer cold chain warehouse, and the comprehensive index of each effective transfer cold chain warehouse is calculated;

[0042] The dynamic management unit: selects the effective transfer cold chain warehouse with the highest comprehensive index as the target, and performs temporary replenishment, updates the optimal transportation time limit weight of the replenished fruit in the blockchain, and simultaneously calculates the optimal transportation time limit weight of the remaining fruits, dynamically selects the effective transfer cold chain warehouse and switches the transportation path.

[0043] Compared with the prior art, the present application has the beneficial effects that: in the fruit postharvest transportation intelligent management platform and method based on blockchain provided by the present application, the key physiological characteristics such as respiratory intensity, storage tolerance and temperature and humidity sensitivity are extracted based on the type information of the fruit, the optimal transportation time limit weight of the fruit is calculated, and the same is written into the blockchain as unalterable data, so that the accurate modeling of the individualized transportation requirements of the fruit is realized, the optimal decision can be made for different fruit characteristics in the subsequent scheduling process, and the transparency and credibility of the data are improved; in the postharvest scheduling and transportation process, the real-time transportation state value of the fruit is dynamically calculated by combining the real-time running time of the transportation vehicle and the optimal transportation time limit weight of the fruit, the continuous monitoring of the transportation quality of the fruit is realized, the deterioration risk in the transportation process of the fruit can be grasped in time, and the real-time perception and fine management ability of the transportation link are enhanced; the threshold value is set based on the real-time transportation state value, the temporary replenishment scheduling mechanism is triggered in time, the replenishment opportunity and range are dynamically analyzed according to the remaining allowable transportation time and the acceptable temporary replenishment distance, the temporary replenishment is realized in time before the quality of the fruit is about to decrease, the loss caused by transportation delay is avoided, and thus the stability of the quality of the fruit is effectively ensured; the replenishment range is constructed according to the farthest acceptable temporary replenishment distance of each fruit, the comprehensive indexes of the effective transfer cold chain warehouses in the coverage range are screened and calculated, the optimal replenishment warehouse is optimized for temporary replenishment, and the transportation time limit weight and transportation path of the fruit are updated in real time after the replenishment, so that the dynamic optimization and adaptive management of the fruit transportation process are realized, the intelligent level and resource utilization efficiency of the overall cold chain transportation are improved, and finally the quality deterioration rate and economic loss in the fruit transportation process are significantly reduced. BRIEF DESCRIPTION OF DRAWINGS

[0044] The accompanying drawings are included to provide a further understanding of the present application, and constitute a part of the specification, illustrate the present application together with the embodiments thereof, and explain the principles of the present application, and are provided to give the conveyer a thorough and complete understanding of the present application, and do not constitute a limitation on the present application.

[0045] Figure 1 is a step schematic diagram of the fruit postharvest transportation intelligent management method based on blockchain of the present application;

[0046] Figure 2 is a structure schematic diagram of the fruit postharvest transportation intelligent management system based on blockchain of the present application. DETAILED DESCRIPTION

[0047] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0048] Please refer toFigure 1 In the first embodiment, a blockchain-based intelligent management method for postharvest transportation of fruits is provided, which comprises the following steps:

[0049] Step S1: After the fruit picking process is completed, the physiological characteristics of the fruits are obtained; based on the physiological characteristics, the optimal transportation time weight of the fruits is calculated and written into the blockchain.

[0050] Specifically, after the fruit picking process is completed, the type information of the fruits is obtained, and the physiological characteristics of the fruits of the corresponding type are determined based on the type information and normalized; the physiological characteristics include the respiration intensity, storage resistance (data type is grade score) and temperature and humidity sensitivity (data type is grade score) of the fruits of the corresponding type; the respiration intensity, storage resistance and temperature and humidity sensitivity of the i-th fruit after normalization are denoted as BI i , SP i and THS i respectively, and the optimal transportation time weight of the i-th fruit is calculated, and the calculation formula is as follows:

[0051]

[0052] wherein BTW i represents the optimal transportation time weight of the i-th fruit, a represents the influence factor of the preset storage resistance SP i , β and γ represent the influence factor of the preset respiration intensity BI i and the empirical coefficient respectively, and δ represents the influence factor of the preset temperature and humidity sensitivity THS i .

[0053] The higher the storage resistance SP i , the more resistant the fruit is to storage, and the transportation time can be appropriately relaxed, so log(SP i +1) is a positive index promoting transportation time; the greater the respiration intensity BI i , the faster the fruit metabolism speed, the fruit is prone to rot, and the transportation time requirement is tighter, so BI i γ has a negative impact on transportation time and needs to be deducted; the higher the temperature and humidity sensitivity THS i , the more likely the fruit is to deteriorate due to environmental changes, and the transportation needs to be completed faster, which also has a negative impact on transportation time and needs to be deducted; in summary, because the higher the respiration intensity and the higher the temperature and humidity sensitivity, it means that the transportation must be faster, otherwise the fruit is prone to rot, so in the formula, they are deducted as negative factors.

[0054] The optimal transportation time weight BTW i of the i-th fruit is written into the blockchain as tamper-proof traceability data, serving as the unique identification code of the i-th fruit.

[0055] It should be noted that the respiration intensity can reflect the metabolic rate of the fruit per unit time, the higher the respiration intensity, the more likely the fruit to deteriorate; the storage resistance can reflect the longest time that the fruit can be stored under normal temperature or refrigeration conditions, the higher the storage resistance, the stronger the fruit preservation ability; the temperature and humidity sensitivity can reflect the tolerance of the fruit to temperature and humidity changes in the transportation environment, the higher the temperature and humidity sensitivity, the more sensitive the fruit; the influence factors a, b, g and d in the application and the respiration intensity BI i , the storage resistance SP i and the temperature and humidity sensitivity THS i are set by historical transportation experimental data or expert experience.

[0056] Step S2: When performing postharvest scheduling transportation tasks, the real-time running time of the transport vehicle is obtained, and the optimal transportation timeliness weight is called from the blockchain, and the real-time transportation state value of the fruit is calculated.

[0057] Specifically, when performing postharvest scheduling transportation tasks, the real-time running time of the transport vehicle is obtained, and the optimal transportation timeliness weight BTW i of the i-th fruit is called from the blockchain, and the real-time transportation state value of the i-th fruit is calculated, and the calculation formula is as follows:

[0058]

[0059] Wherein, RTS i (t) represents the real-time transportation state value of the i-th fruit, t represents the current running time of the transport vehicle, represents a preset transportation time decay coefficient (used to represent the decay rate of the fruit state with transportation time).

[0060] In the application, by combining the optimal transportation timeliness weight and the transportation time, the quality change of the fruit in transportation can be realized in real time by using the exponential decay form. With the increase of transportation time, the state value decreases according to the decay coefficient, such as the freshness change of cherry transportation can be understood at any time; the real-time state value can also be used by the transportation management personnel to plan the subsequent transportation strategy in advance, such as adjusting the transportation speed, arranging the midway inspection, etc., to realize the fine management and enhance the real-time perception ability of the transportation link.

[0061] Step S3: Based on the real-time transportation state value of the fruit, a threshold value is preset, and a temporary replenishment scheduling mechanism is analyzed and triggered; the remaining allowed transportation time and the farthest acceptable temporary replenishment distance of the fruit are calculated.

[0062] Specifically, the real-time transportation state value threshold of the i-th fruit is preset, and if the real-time transportation state value RTS i(t) if the real-time transportation state value of the ith fruit product is less than or equal to the threshold value θ, it is determined that the ith fruit product needs temporary replenishment, and a temporary replenishment scheduling mechanism is triggered, which is specifically as follows:

[0063] The remaining allowed transportation time of the ith fruit product is calculated, and the calculation formula is as follows:

[0064]

[0065] Wherein, t i,remain represents the remaining allowed transportation time of the ith fruit product, represents a preset transportation time decay coefficient, t represents the current running time of the transportation vehicle, and θ represents a preset real-time transportation state value threshold of the ith fruit product;

[0066] In the present application, the remaining time is calculated by comparing the real-time transportation state value and the threshold value in combination with the decay coefficient. Taking grape transportation as an example, when the state value approaches the threshold value, the formula can calculate the remaining time, which provides an accurate basis for timely scheduling of replenishment and avoids deterioration of grapes due to too long transportation time. represents the current fruit real-time transportation state value RTS i (t) and the preset real-time transportation state value threshold θ, when the ratio is close to or less than 1, it means that the current state of the fruit product is close to or lower than the acceptable level, and temporary replenishment is needed. The natural logarithm is taken for the ratio because the natural logarithm function has a unique mathematical property, that is, the larger the ratio, the larger the ln value, and the longer the remaining allowed transportation time; on the contrary, it is shorter; secondly, the ln function can suppress the difference between large values, making the calculation result more stable and reasonable. In actual transportation, the real-time transportation state value of the fruit product and the threshold value may have a large numerical range, and through the ln operation, the calculation result can be prevented from abnormally fluctuating due to too large values, so that the remaining allowed transportation time can be more accurately calculated, providing a reliable basis for transportation scheduling. The denominator is a preset transportation time decay coefficient, which is used to represent the decay rate of the state of the fruit product with the transportation time. Different types of fruit products have different physiological characteristics, and the state decay rate is also different; for example, the decay coefficient of perishable fruit products such as strawberries is relatively large, while the decay coefficient of apples is relatively small. In the formula, the decay coefficient of the denominator plays a "calibration" role, which adjusts the result calculated by the numerator according to the actual decay rate of the fruit product, so as to obtain the remaining allowed transportation time that meets the actual situation of the fruit product.

[0067] Based on the remaining allowed transportation time t i,remain of the ith fruit product, the farthest acceptable temporary replenishment distance of the ith fruit product is calculated, and the calculation formula is as follows: D i,max =t i,remain ×v, wherein D i,maxrepresents the farthest acceptable temporary replenishment distance of the ith fruit, and v represents the average speed of the transport vehicle.

[0068] Step S4: constructing a fruit temporary replenishment range circle and screening effective transfer cold chain warehouses within the coverage range; calculating a comprehensive index and selecting an effective transfer cold chain warehouse with the highest comprehensive index as a target for temporary replenishment; and updating and dynamically managing in real time.

[0069] Specifically, the farthest acceptable temporary replenishment distances of all kinds of fruits in the transport vehicle are obtained, and the smallest farthest acceptable temporary replenishment distance is selected as the radius to construct a fruit temporary replenishment range circle with the transport vehicle as the center.

[0070] All transport paths of the transport vehicle for postharvest scheduling and transportation tasks of fruits are obtained, and all transfer cold chain warehouses in the transport paths and the use state information of the transfer cold chain warehouses in the transport paths are extracted, the use state information including empty warehouse state, partial occupation state and full warehouse state; the ath transport path is denoted as P a , the use state information of the bth transfer cold chain warehouse in the transport path P a is denoted as the receivable storage space REC b (P a ) of the transfer cold chain warehouse.

[0071] All transfer cold chain warehouses and receivable storage spaces of the transfer cold chain warehouses within the coverage range of the fruit temporary replenishment range circle are screened, and if the receivable storage space of the transfer cold chain warehouse is greater than or equal to the storage space of the fruit, the transfer cold chain warehouse is marked as an effective transfer cold chain warehouse, and a comprehensive index of each effective transfer cold chain warehouse is calculated, and the calculation formula is as follows:

[0072]

[0073] wherein, OT c represents the comprehensive index of the cth effective transfer cold chain warehouse, d c represents the distance between the cth effective transfer cold chain warehouse and the transport vehicle, and λ represents a preset distance influence factor, and REC c (P a ) represents the receivable storage space of the cth transfer cold chain warehouse in the transport path P a .

[0074] In the present application, both distance and receivable storage space are comprehensively considered, short distance is conducive to rapid replenishment, and large storage space can meet the storage demand of fruits. For example, when selecting a transfer cold chain warehouse, the advantages and disadvantages of each warehouse can be comprehensively measured, such as for banana transportation, a warehouse with short distance and suitable space is preferentially selected. The transfer warehouse with the highest comprehensive index is selected as the replenishment target, and the transportation time limit weight and path are updated after replenishment. In the whole transportation process, according to the actual situation, it is continuously adjusted to realize dynamic optimization and adaptive management, and the intelligent level of cold chain transportation is improved.

[0075] The comprehensive index OT c The effective transfer cold chain warehouse with the highest comprehensive index is selected as the target, and temporary replenishment is carried out. The best transportation time limit weight of the fruits after replenishment is updated in the blockchain, and the best transportation time limit weight of the remaining fruits is calculated. The effective transfer cold chain warehouse is dynamically selected and the transmission path is switched.

[0076] Please refer to Figure 2 In the second embodiment: a post-harvest fruit transportation intelligent management system based on blockchain is provided, which comprises: a data acquisition and weight calculation module, a real-time transportation state value calculation module, a scheduling mechanism triggering and distance calculation module, and an index calculation and dynamic management module;

[0077] The data acquisition and weight calculation module: after the fruit picking process is completed, the physiological characteristics of the fruits are acquired; based on the physiological characteristics, the best transportation time limit weight of the fruits is calculated and written into the blockchain;

[0078] The real-time transportation state value calculation module: when performing post-harvest scheduling and transportation tasks, the real-time running time of the transportation vehicle is acquired, and the best transportation time limit weight is retrieved from the blockchain to calculate the real-time transportation state value of the fruits;

[0079] The scheduling mechanism triggering and distance calculation module: based on the real-time transportation state value of the fruits, a threshold value is preset, and the temporary replenishment scheduling mechanism is analyzed and triggered; the remaining allowable transportation time and the farthest acceptable temporary replenishment distance of the fruits are calculated;

[0080] The index calculation and dynamic management module: a fruit temporary replenishment range circle is constructed, and the effective transfer cold chain warehouse within the coverage range is screened; the comprehensive index is calculated, and the effective transfer cold chain warehouse with the highest comprehensive index is selected as the target for temporary replenishment; real-time updating and dynamic management are carried out.

[0081] Further, the data acquisition and weight calculation module comprises a data acquisition unit and a weight calculation unit;

[0082] The data acquisition unit: after the fruit picking process is completed, acquires the category information of the fruit, and determines the physiological characteristics of the fruit of the corresponding category based on the category information and performs normalization processing; the physiological characteristics include the respiration intensity, storage tolerance, and temperature and humidity sensitivity of the fruit of the corresponding category;

[0083] The weight calculation unit: based on the respiration intensity, storage tolerance, and temperature and humidity sensitivity of the fruit after normalization processing, calculates the optimal transportation time weight of the fruit; and writes the optimal transportation time weight of the fruit as non-tamperable traceability data into the blockchain as a unique identification code of the fruit.

[0084] Further, the real-time transportation state value calculation module includes a real-time transportation state value calculation unit;

[0085] The real-time transportation state value calculation unit: when performing postharvest scheduling and transportation tasks for the fruit, acquires the real-time running time of the transportation vehicle, and retrieves the optimal transportation time weight of the fruit from the blockchain, and calculates the real-time transportation state value of the fruit.

[0086] Further, the scheduling mechanism triggering and distance calculation module includes a scheduling mechanism triggering unit and a distance calculation unit;

[0087] The scheduling mechanism triggering unit: presets a real-time transportation state value threshold of the fruit, and if the real-time transportation state value of the fruit is less than or equal to the real-time transportation state value threshold of the fruit, it is determined that the fruit needs temporary replenishment, and then the temporary replenishment scheduling mechanism is triggered;

[0088] The distance calculation unit: calculates the remaining allowable transportation time of the fruit; based on the remaining allowable transportation time of the fruit, calculates the farthest acceptable temporary replenishment distance of the fruit.

[0089] Further, the index calculation and dynamic management module includes an index calculation unit and a dynamic management unit;

[0090] The index calculation unit: acquires the farthest acceptable temporary replenishment distance of all categories of fruit in the transportation vehicle, and selects the smallest farthest acceptable temporary replenishment distance as the radius, constructs a fruit temporary replenishment range circle with the transportation vehicle as the center, acquires all transportation paths of the transportation vehicle for postharvest scheduling and transportation tasks of the fruit, extracts all transfer cold chain warehouses in the transportation paths and the use state information of the transfer cold chain warehouses in the transportation paths, the use state information includes empty warehouse state, partial occupation state and full warehouse state; all transfer cold chain warehouses and acceptable storage spaces of the transfer cold chain warehouses within the coverage range of the fruit temporary replenishment range circle are screened, if the acceptable storage space of the transfer cold chain warehouse is greater than or equal to the storage space of the fruit, the transfer cold chain warehouse is marked as an effective transfer cold chain warehouse, and the comprehensive index of each effective transfer cold chain warehouse is calculated;

[0091] The dynamic management unit: selects the effective transfer cold chain warehouse with the highest comprehensive index as the target, and carries out temporary replenishment, updates the best transportation time limit and weight of the fruit after the replenishment is completed in the block chain, calculates the best transportation time limit and weight of the remaining fruits, dynamically selects the effective transfer cold chain warehouse and switches the transmission path.

[0092] It should be noted that, in this document, relational terms such as first and second and the like can be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises", "comprising", or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus.

[0093] Finally, it should be noted that the above-described embodiments are merely possible embodiments of the present application, and are not used to limit the present application. Although the present application has been described in detail with reference to the foregoing embodiments, the technical solutions recorded in the foregoing embodiments can be modified or some technical features can be replaced by equivalents by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A blockchain-based intelligent management method for post-harvest transportation of fruit, characterized in that: The method includes the following steps: Step S1: After the fruit harvesting process is completed, obtain the physiological characteristics of the fruit; based on the physiological characteristics, calculate the optimal transportation time weight of the fruit and write it into the blockchain; Step S2: When carrying out post-harvest scheduling and transportation tasks for fruits, obtain the real-time running time of the transport vehicles, retrieve the optimal transportation timeliness weight from the blockchain, and calculate the real-time transportation status value of the fruits. Step S3: Based on the real-time transportation status of the fruit, preset thresholds are used to analyze and trigger the temporary supply scheduling mechanism; the remaining allowable transportation time and the farthest acceptable temporary supply distance of the fruit are calculated. Step S4: Construct a temporary fruit supply range circle and filter the effective transit cold chain warehouses within the coverage area; calculate the comprehensive index and select the effective transit cold chain warehouse with the highest comprehensive index as the target for temporary supply; update in real time and perform dynamic management; The specific implementation process of step S1 includes: After the fruit harvesting process is completed, the variety information of the fruits is obtained, and the physiological characteristics of the corresponding varieties are determined based on the variety information and normalized. The physiological characteristics include the respiration rate, storage tolerance, and temperature and humidity sensitivity of the corresponding varieties of fruits. The respiration rate, storage tolerance, and temperature and humidity sensitivity of the i-th variety of fruit after normalization are denoted as follows: , and The optimal transportation time weight for the i-th type of fruit is calculated using the following formula: ； in, This represents the optimal transportation time weight for the i-th type of fruit. Indicates the preset storage resistance Influence factors and These represent the preset breathing intensity. Influence factors and empirical coefficients Indicates the preset temperature and humidity sensitivity Influence factors; Weight the optimal transportation timeliness of the i-th type of fruit As immutable traceability data, it is written into the blockchain as a unique identifier for the i-th type of fruit. In step S4, constructing the temporary supply range circle for fruits includes: obtaining the farthest acceptable temporary supply distance for all types of fruits in the transport vehicle, selecting the smallest farthest acceptable temporary supply distance as the radius, and using the transport vehicle as the center to construct the temporary supply range circle for fruits.

2. The intelligent management method for post-harvest transportation of fruits based on blockchain according to claim 1, characterized in that, The specific implementation process of step S2 includes: When scheduling and transporting fruit after harvest, the real-time running time of the transport vehicles is obtained, and the optimal transport timeliness weight for the i-th type of fruit is retrieved from the blockchain. Calculate the real-time transportation status value of the i-th type of fruit using the following formula: ； in, Let represent the real-time transportation status value of the i-th type of fruit, and t represent the current running time of the transport vehicle. This represents the preset transportation time attenuation coefficient.

3. The intelligent management method for post-harvest transportation of fruits based on blockchain according to claim 2, characterized in that, The specific implementation process of step S3 includes: Preset the real-time transportation status threshold for the i-th type of fruit. If the real-time transportation status value of the i-th type of fruit The real-time transportation status value of the i-th type of fruit is less than or equal to the threshold value. If it is determined that the i-th type of fruit requires temporary replenishment, then the temporary replenishment scheduling mechanism is triggered, as follows: The remaining permissible transportation time for the i-th type of fruit is calculated using the following formula: ； in, This represents the remaining allowable transportation time for the i-th type of fruit. This represents the preset transport time decay coefficient, where t represents the current running time of the transport vehicle. This represents the preset threshold value for the real-time transportation status of the i-th type of fruit. Based on the remaining allowable transportation time for the i-th type of fruit Calculate the furthest acceptable temporary resupply distance for the i-th type of fruit using the following formula: ,in, This represents the furthest acceptable temporary resupply distance for the i-th type of fruit. This indicates the average speed of the transport vehicle.

4. The intelligent management method for post-harvest transportation of fruits based on blockchain according to claim 3, characterized in that, The specific implementation process of step S4 includes: Obtain all transportation routes for post-harvest fruit dispatching and transportation tasks, and extract all transit cold chain warehouses along the transportation routes, as well as their usage status information. The usage status information includes empty warehouse status, partially occupied status, and full warehouse status. The a-th transportation route is denoted as... , transport route The usage status information of the b-th transit cold chain warehouse is recorded as the receivable storage space of the transit cold chain warehouse. ; All transit cold chain warehouses and their acceptable storage space within the coverage area of ​​the temporary fruit supply radius are screened. If the acceptable storage space of a transit cold chain warehouse is greater than or equal to the storage space of the fruit, the transit cold chain warehouse is marked as a valid transit cold chain warehouse. The comprehensive index of each valid transit cold chain warehouse is calculated using the following formula: ； in, This represents the comprehensive index of the c-th effective transit cold chain warehouse. This represents the distance between the c-th effective transit cold chain warehouse and the transport vehicle. This represents the preset distance influence factor. Indicates the transportation route The available storage space of the cth transit cold chain warehouse; Select comprehensive indicators The highest effective transit cold chain warehouse is selected as the target, and temporary supplies are provided. The optimal transportation time weight of the fruit after the supply is completed is updated in the blockchain. At the same time, the optimal transportation time weight of the remaining fruit is calculated, and the effective transit cold chain warehouse is dynamically selected and the transmission route is switched.

5. A blockchain-based intelligent management system for post-harvest fruit transportation, executing the blockchain-based intelligent management method for post-harvest fruit transportation as described in any one of claims 1-4, characterized in that, The system includes: a data acquisition and weight calculation module, a real-time transportation status value calculation module, a scheduling mechanism triggering and distance calculation module, and an indicator calculation and dynamic management module; The data acquisition and weight calculation module: after the fruit picking process is completed, acquires the physiological characteristics of the fruit; based on the physiological characteristics, calculates the optimal transportation time weight of the fruit, and writes it into the blockchain; The real-time transportation status value calculation module: when carrying out post-harvest scheduling and transportation tasks for fruits, obtains the real-time running time of the transport vehicle, retrieves the optimal transportation timeliness weight from the blockchain, and calculates the real-time transportation status value of the fruits. The scheduling mechanism triggering and distance calculation module: based on the real-time transportation status value of the fruit, a preset threshold is set, and the temporary supply scheduling mechanism is analyzed and triggered; the remaining allowable transportation time and the farthest acceptable temporary supply distance of the fruit are calculated. The indicator calculation and dynamic management module: constructs a circle for temporary fruit supply and filters effective transit cold chain warehouses within the coverage area; calculates comprehensive indicators and selects the effective transit cold chain warehouse with the highest comprehensive indicator as the target for temporary supply; updates in real time and performs dynamic management.

6. The intelligent management system for post-harvest transportation of fruit based on blockchain according to claim 5, characterized in that: The data acquisition and weight calculation module includes a data acquisition unit and a weight calculation unit; The data acquisition unit: after the fruit picking process is completed, acquires the fruit type information, determines the physiological characteristics of the corresponding fruit type based on the type information, and performs normalization processing; the physiological characteristics include the respiration intensity, storage tolerance, and temperature and humidity sensitivity of the corresponding fruit type. The weight calculation unit calculates the optimal transportation time weight of the fruit based on the normalized respiration intensity, storage tolerance, and temperature and humidity sensitivity of the fruit. The optimal transportation time of the fruit is weighted as immutable traceability data and written into the blockchain as the unique identifier of the fruit.

7. The intelligent management system for post-harvest transportation of fruits based on blockchain according to claim 6, characterized in that: The real-time transportation status value calculation module includes a real-time transportation status value calculation unit; The real-time transportation status value calculation unit: when carrying out post-harvest scheduling and transportation tasks for fruits, obtains the real-time running time of the transport vehicle, retrieves the optimal transportation timeliness weight of the fruits from the blockchain, and calculates the real-time transportation status value of the fruits.

8. The intelligent management system for post-harvest transportation of fruits based on blockchain according to claim 7, characterized in that: The scheduling mechanism triggering and distance calculation module includes a scheduling mechanism triggering unit and a distance calculation unit; The scheduling mechanism triggering unit: presets a real-time transportation status value threshold for the fruit. If the real-time transportation status value of the fruit is less than or equal to the real-time transportation status value threshold, it is determined that the fruit needs to be temporarily replenished, and the temporary replenishment scheduling mechanism is triggered. The distance calculation unit calculates the remaining permissible transportation time of the fruit and, based on the remaining permissible transportation time, calculates the furthest acceptable temporary resupply distance for the fruit.

9. The intelligent management system for post-harvest transportation of fruits based on blockchain according to claim 8, characterized in that: The indicator calculation and dynamic management module includes an indicator calculation unit and a dynamic management unit; The indicator calculation unit: obtains the farthest acceptable temporary supply distance for all types of fruit in the transport vehicle, selects the smallest farthest acceptable temporary supply distance as the radius, and constructs a temporary supply range circle for the fruit with the transport vehicle as the center; obtains all transport routes for the post-harvest scheduling and transport tasks of the fruit, and extracts all transit cold chain warehouses in the transport routes and their usage status information, including empty warehouse status, partially occupied status, and full warehouse status; filters all transit cold chain warehouses and their acceptable storage space within the coverage area of ​​the temporary supply range circle for the fruit; if the acceptable storage space of a transit cold chain warehouse is greater than or equal to the storage space of the fruit, the transit cold chain warehouse is marked as a valid transit cold chain warehouse, and a comprehensive indicator is calculated for each valid transit cold chain warehouse. The dynamic management unit selects the effective transit cold chain warehouse with the highest comprehensive index as the target and temporarily replenishes it. After the replenishment is completed, the optimal transportation time weight of the fruit is updated in the blockchain. At the same time, the optimal transportation time weight of the remaining fruit is calculated, and the effective transit cold chain warehouse is dynamically selected and the transmission path is switched.

Images