Cold chain storage data safety tracing system based on block chain

Abstract

The invention relates to the technical field of block chains, in particular to a cold chain storage data safety tracing system based on a block chain, and the system comprises a data collection unit which is used for collecting the environment parameters of each storage, the transportation parameters of each transport vehicle, and the cargo parameters of each cargo; the plurality of storage units are used for calculating the storage environment value of each cargo, sending out an allocation signal or a rollback signal, and carrying out cargo allocation operation or cargo allocation recheck to obtain a cargo allocation scheme; the demand unit is used for counting the demand quantity of each cargo and planning a main transportation route of each transportation vehicle; the transportation unit is used for constructing a transportation model to obtain an actual transportation route; the assembling unit is used for assembling the cargos of the transport vehicle according to the priority of the cargos; according to the invention, the above units cooperate with each other, so that the stability of each link of cold chain storage is improved, and the accuracy and reliability of the cold chain storage data safety tracing system based on the block chain are further improved.

Description

Technical Field

[0001] The present invention relates to the field of blockchain technology, and in particular to a cold chain warehousing data security tracing system based on blockchain. Background Art

[0002] With the rapid development of e-commerce and the increasing demand of consumers for fresh products, the cold chain logistics industry has ushered in unprecedented development opportunities. As an important node in cold chain logistics, cold chain warehousing undertakes the important tasks of cargo storage, transit and distribution. However, cold chain warehousing involves multiple links and participants, such as suppliers, logistics companies, warehousing companies, retailers, etc. The information transmission between each link is not smooth, which makes it difficult to share and coordinate data. Blockchain technology can realize the distributed storage and sharing of data, improve the information transparency and coordination efficiency among all participants, and promote the healthy development of the cold chain logistics industry. In the process of cold chain warehousing data management, a large amount of sensitive information is involved, such as the source of goods, storage temperature, transportation route, etc. Blockchain technology ensures the security and privacy of data.

[0003] Chinese patent application publication number: CN115914249A discloses a cold chain data storage and query method and device based on blockchain block classification. The invention provides a cold chain data storage and query method and device based on blockchain block classification, including: improving the blockchain block structure, adding a class block identification field in the block header, adding a previous class block Hash identification field, and establishing a consortium chain. Cold chain data is divided into device data, order data, and privacy data. After the device data is signed, a transaction chain request is made, the order data is symmetrically encrypted and the chain request is made, and the privacy data is asymmetrically encrypted and the chain request is made. The consortium chain node packages the transactions with the same receiving address in the transaction buffer pool, waits for consensus after the packaging is completed, and the block can be chained after the consensus is completed. The present invention realizes flexible data chaining by classifying blocks, realizes the storage of data with different functions on the same blockchain, and realizes classification query optimization through block classification, reduces the retrieval data through classification, and improves the blockchain query speed.

[0004] Chinese Patent Application Publication No.: CN119294953A discloses a commodity logistics tracking method and system based on blockchain. The invention provides a commodity logistics tracking method and system based on blockchain, belonging to the field of computers, and solves the problem that blockchain cannot verify the authenticity of input data in a commodity traceability system. The above method includes: obtaining the logistics transportation information of cold chain commodities, where the logistics transportation information includes the transportation time interval, transportation route, and the transportation vehicle associated with the cold chain commodities; querying the commodity information of other cold chain commodities that match the logistics transportation information, where the commodity information includes the type, quantity, and packaging size data of the commodities; in the case where the total volume calculated based on the quantity and packaging size data of the commodities is greater than the volume of the transportation vehicle associated with the cold chain commodities, generating an alarm for the authenticity of the logistics transportation data and recording it in the blockchain system.

[0005] However, the above method has the following problems: it fails to adjust the delivery plan of goods according to the environmental information of the warehouse to ensure the safety of different goods in the warehouse, and fails to effectively communicate information among different links involved in cold chain warehousing. Summary of the Invention

[0006] Therefore, the present invention provides a cold chain warehousing data security traceability system based on blockchain to overcome the problems in the prior art that it fails to adjust the delivery plan of goods according to the environmental information of the warehouse to ensure the safety of different goods in the warehouse, and fails to effectively communicate information among different links involved in cold chain warehousing.

[0007] To achieve the above object, the present invention provides a cold chain warehousing data security traceability system based on blockchain, including:

[0008] A data acquisition unit, which is used to acquire the environmental parameters of each warehouse, the transportation parameters of each transport vehicle, and the goods parameters of each good;

[0009] A number of warehouse units, which are connected to the data acquisition unit, used to count the storage quantity of each good, calculate the storage environment value of each good according to the environmental parameters and the goods parameters, determine whether to send an alarm signal and record the alarm time based on the storage environment value, send a deployment signal or a rollback signal based on the alarm time combined with the goods parameters, and receive the adjacent storage quantity of the adjacent warehouse unit and perform distribution operation or distribution review based on the deployment signal to obtain a distribution plan;

[0010] A demand unit, which is respectively connected to the data acquisition unit and a number of the warehouse units, used to count the demand quantity of each good, and plan the main transportation route of each transport vehicle based on the storage quantity of each good, combined with the transportation parameters of each transport vehicle and the goods parameters of each good;

[0011] A transportation unit, which is respectively connected to the data acquisition unit, the warehousing unit and the demand unit, and is used to construct a transportation model according to the transportation parameters and the cargo parameters, and adjust the main transportation route based on the transportation model in combination with the received distribution plan to obtain the actual transportation route;

[0012] An assembly unit, which is respectively connected to the data acquisition unit and the transportation unit, and is used to calculate the priority of each cargo according to the actual transportation route and the cargo parameters for cargo assembly of the transport vehicle.

[0013] Further, the warehousing unit includes:

[0014] An environmental monitoring subunit, which is connected to the data acquisition unit, and is used to calculate the temperature environment value by combining the maximum effective temperature for cargo storage and the minimum effective temperature for cargo storage, and calculate the humidity environment value by combining the maximum effective humidity for cargo storage and the minimum effective humidity for cargo storage, and determine the weights of the temperature environment value and the humidity environment value, and calculate the warehousing environment value of each cargo;

[0015] The cargo parameters include the effective temperature for cargo storage, the effective humidity for cargo storage, the effective storage time of the cargo and the volume of the cargo. The effective temperature for cargo storage includes the maximum effective temperature for cargo storage and the minimum effective temperature for cargo storage. The effective humidity for cargo storage includes the maximum effective humidity for cargo storage and the minimum effective humidity for cargo storage. The environmental parameters include the actual temperature and actual humidity in the warehouse.

[0016] Further, the warehousing unit further includes:

[0017] An alarm subunit, which is connected to the environmental monitoring subunit, and is used to determine whether to issue the alarm signal based on the warehousing environment value and record the alarm time, where

[0018] if the warehousing environment value is greater than or equal to the preset environment value, it is determined to issue the alarm signal and record the alarm time;

[0019] The preset environment value is related to the effective temperature for cargo storage and the effective humidity for cargo storage.

[0020] Further, the warehousing unit further includes:

[0021] A deployment subunit, which is connected to the alarm subunit, and is used to issue a deployment signal or a fallback signal based on the alarm time in combination with the cargo parameters, where

[0022] if the alarm time is greater than or equal to the preset time and less than the effective storage time of the cargo, it is determined to issue the deployment signal;

[0023] If the alarm time is greater than the effective time for storing the goods, it is determined that the fallback signal is issued;

[0024] The effective time for storing the goods is the duration from the moment the goods are placed in the storage unit to the maximum validity period of the goods. The preset time is positively correlated with the effective time for storing the goods, and the preset time is less than the effective time for storing the goods.

[0025] Further, the storage unit further includes:

[0026] A distribution subunit, which is connected to the deployment subunit, is used to receive the adjacent storage quantity of the adjacent storage unit, perform distribution operation on the goods corresponding to the deployment signal, generate and issue a distribution plan,

[0027] and receive and review the distribution plan issued by the adjacent storage unit, where

[0028] if the storage quantity is greater than or equal to the distribution plan, the review result is to agree to execute the distribution plan,

[0029] if the storage quantity is less than the distribution plan, the review result is that the inventory is insufficient, and an insufficient signal is returned;

[0030] Based on the deployment signal and the fallback signal, combined with the storage quantity of the adjacent storage unit, perform distribution operation or distribution review to obtain a distribution plan;

[0031] The adjacent storage unit is the storage unit within the transportation distance of the storage unit.

[0032] Further, the demand unit counts the demand quantity of each good, and based on the storage quantity of each good, combines the transportation parameters of each transport vehicle and the good parameters of each good to plan the main transportation routes of each transport vehicle, where

[0033] Determine the transportation temperature according to the effective storage temperature of each good, determine the transportation humidity according to the effective storage humidity of each good. The main transportation route is the shortest route for the transport vehicle from each storage to the end point of unloading. The transportation parameters include the transportation temperature, the transportation humidity and the transportation distance inside the transport vehicle.

[0034] Further, the transportation unit includes:

[0035] A simulation subunit, which is connected to the data acquisition unit, is used to construct a transportation model according to the transportation parameters and the volume of the goods, and perform goods simulation assembly on each transport vehicle.

[0036] Further, the transportation unit further includes:

[0037] A route sub-unit, which is respectively connected to the simulation sub-unit, the warehousing unit and the demand unit, is configured to count the warehousing units that the transport vehicle needs to reach based on the transport model and the received goods allocation plan, and add the warehousing units deviating from the main transport route to the main transport route to obtain the actual transport route.

[0038] Further, the assembly unit calculates the distance value of each good according to the actual transport route, calculates the volume value of each good according to the volume of the good, and calculates the priority value of each good by combining the distance value and the volume value, sorts the priority values from large to small, and assembles each good according to the sorting result.

[0039] Further, in a state where the transport vehicle is on the actual transport route, the transport unit receives the goods allocation plan sent by each of the warehousing units, compares the goods allocation plan with the goods of the transport vehicle, and unloads the goods not present in the goods allocation plan to the warehousing unit closest to the goods.

[0040] Compared with the prior art, the beneficial effects of the present invention are as follows: by comprehensively collecting the data of cold chain warehousing and analyzing the environmental values of cold chain warehousing to determine the safety of cold chain warehousing. The products stored in cold chain warehousing are extremely sensitive to environmental conditions. By collecting and analyzing environmental data such as temperature and humidity in real time, abnormal environmental parameters can be detected in time, such as too high or too low temperature, too high humidity, etc., and corresponding measures can be taken for adjustment. This helps to ensure that the products are stored in a suitable environment, effectively prevent the products from deteriorating and being damaged, and maximize the guarantee of the quality and quality stability of the products, reduce product losses caused by environmental factors. Detecting environmental anomalies in time and taking measures can avoid major accidents such as equipment failures and product damages caused by environmental problems. For example, too high humidity may cause equipment to rust and short-circuit. By monitoring humidity, moisture-proof measures can be taken in advance to reduce equipment maintenance and replacement costs and reduce operation risks, ensuring the normal operation of cold chain warehousing. In the entire cold chain supply chain, accurate environmental data records and safety assessment results can be viewed and traced by upstream and downstream enterprises. This enhances the transparency of the supply chain, enables participants in each link to understand the storage environment of the products, and improves the trust in the supply chain. In-depth analysis of cold chain warehousing environmental data can discover the deficiencies of existing facilities and technologies, provide a basis for further technological improvement and innovation, and effectively improve the accuracy and reliability of the cold chain warehousing data security traceability system based on blockchain.

[0041] Furthermore, the present invention issues early warnings for goods that have undergone quality changes in cold chain warehouses, and at the same time, allocates goods among the warehouses in combination with the storage volume, so that all relevant warehouses participate in the calculation and review of the distribution plan. Timely early warnings for goods that have undergone quality changes can enable warehouse management personnel to discover problematic goods as soon as possible, and allocate goods among the warehouses in combination with the storage volume, so as to achieve optimal utilization of resources. Goods can be reasonably allocated according to the storage capacity, environmental conditions and cargo demand of different warehouses to avoid a backlog of goods in some warehouses and a shortage of goods in other warehouses. All relevant warehouses participate in the calculation and review of the distribution plan, making the distribution plan more accurate. Each warehouse can provide its own actual situation, including inventory quantity, cargo status, storage capacity and other information, so as to calculate the distribution plan. These factors can be taken into comprehensive consideration when calculating cargo volume and formulating distribution plans to avoid incorrect or unreasonable distribution situations. This approach promotes information sharing and collaborative cooperation among warehouses. In the process of participating in the distribution plan, each warehouse needs to communicate and exchange in a timely manner to jointly solve problems that arise in the distribution process. This helps to break down information barriers between warehouses, enhance the coordination and flexibility of the entire cold chain supply chain, and improve the operational efficiency of the supply chain. Through reasonable cargo allocation and accurate distribution plans, unnecessary transportation and storage costs can be reduced. Early warning of deteriorating goods and calculation and review of distribution plans by each warehouse enable enterprises to better identify and manage risks, discover potential risk factors in a timely manner, and further improve the accuracy and reliability of the blockchain-based cold chain warehousing data security traceability system.

[0042] Furthermore, the present invention improves the efficiency of assembly by planning and adjusting the cargo transportation route. The cargo can be delivered to the assembly site faster, so that the assembly work can be carried out in advance, effectively shortening the entire assembly cycle, meeting customers' delivery time requirements, and enhancing corporate competitiveness. Scientific route planning can make the vehicle's driving route more reasonable, reduce unreasonable driving conditions such as empty vehicles and detours, and vehicles can complete transportation tasks more efficiently, improve vehicle utilization efficiency, and increase the number of transportation trips per unit time. Shorter transportation time and smoother transportation process help to ensure the quality of the goods, especially for some goods with high requirements on transportation time and environment, such as fresh food, precision instruments, etc. Fast and stable transportation can reduce the risk of damage and deterioration of goods during transportation, ensure that the goods are in good condition when they arrive at the assembly site, and provide guarantee for smooth assembly. The transportation route can be adjusted in time according to actual conditions, so that the supply chain can respond to various changes more flexibly, further improving the accuracy and reliability of the cold chain warehousing data security traceability system based on blockchain.

[0043] Furthermore, the present invention calculates the priority value of each cargo by combining the unloading destination storage of each cargo and the volume of each cargo, and assembles the cargo according to the arrangement order of the priority values, which reduces the error rate of cargo assembly. Assembling the cargo according to the arrangement order of the priority values can make the cargo more orderly during the loading and unloading process. First, load and unload the cargo with a long unloading distance and appropriate volume, and then load and unload the cargo with a short unloading distance. In this way, when arriving at different storages, the corresponding cargo can be quickly and accurately found and unloaded, reducing the time for finding and adjusting the cargo, improving the loading and unloading efficiency. For example, in logistics distribution, when distributing cargoes to multiple different destinations, assembling according to the priority value allows the vehicle to quickly unload the cargo after arriving at the destination, shortening the residence time of the vehicle at each storage and accelerating the logistics turnover speed. Reasonably arranging the assembly order and position according to the volume of the cargo can effectively avoid the extrusion and collision between the cargoes. Larger-volume cargoes can be used as the bottom support, and smaller-volume cargoes can be filled in the gaps to ensure the stability of the cargo during transportation, reducing the risk of cargo damage caused by factors such as jolting and collision, and reducing the losses of the enterprise. It helps to make more reasonable use of the space of the transportation tool, fully utilize every space, avoid the situation of space waste, and improve the loading rate of the transportation tool. The clear arrangement order of the priority values provides clear operation guidance for the assemblers, reducing the randomness and blindness during the assembly process. The assemblers assemble the cargo according to the priority values in sequence, and it is not easy to have the situation of misloading and missing loading, greatly reducing the error rate of cargo assembly. At the same time, it is also convenient to check and verify after the assembly is completed to ensure the accuracy and integrity of the cargo. The assembly method based on the priority value makes the assembly process of the cargo more standardized and orderly. Logistics managers can more conveniently monitor and manage the assembly situation of the cargo. When problems occur, they can also quickly trace back to the specific links according to the priority values and assembly records, find the cause of the problem, and take measures to solve the problem in time. This assembly method makes the connection between the transportation and storage links of the cargo smoother. Different storages can make preparations for receiving in advance according to the priority values of the cargo, improving the coordination between the various links of the supply chain, and further enhancing the accuracy and reliability of the cold chain storage data security traceability system based on the blockchain. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a structural block diagram of the cold chain storage data security traceability system based on the blockchain of the present invention;

[0045] Figure 2 It is a structural block diagram of the storage unit in the embodiment of the present invention;

[0046] Figure 3 It is a determination diagram for sending out an alarm signal in the embodiment of the present invention;

[0047] Figure 4 It is a determination diagram for reviewing the goods allocation plan in the embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0048] In order to make the objectives and advantages of the present invention more clearly understood, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0049] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention and do not limit the protection scope of the present invention.

[0050] It should be noted that in the description of the present invention, the terms indicating directions or positional relationships such as "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings. This is only for convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention.

[0051] In addition, it should also be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installation", "connection", and "coupling" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0052] Please refer to Figure 1 as shown, which is a structural block diagram of the cold chain storage data security traceability system based on blockchain of the present invention. An embodiment of the present invention provides a cold chain storage data security traceability system based on blockchain, including:

[0053] A data acquisition unit, which is used to acquire the environmental parameters of each warehouse, the transportation parameters of each transport vehicle, and the cargo parameters of each cargo;

[0054] A number of warehouse units, which are connected to the data acquisition unit, used to count the storage volume of each cargo, calculate the storage environment value of each cargo according to the environmental parameters and cargo parameters, determine whether to send an alarm signal and record the alarm time based on the storage environment value, send a deployment signal or a fallback signal based on the alarm time combined with the cargo parameters, and receive the adjacent storage volume of the adjacent warehouse unit and perform cargo distribution calculation or cargo distribution review based on the deployment signal to obtain a cargo distribution plan;

[0055] A demand unit, which is respectively connected to a data acquisition unit and a number of storage units, is used to count the demand for each type of goods, and based on the storage quantity of each type of goods, combined with the transportation parameters of each transport vehicle and the goods parameters of each type of goods, plan the main transportation routes of each transport vehicle;

[0056] A transportation unit, which is respectively connected to the data acquisition unit, the storage unit and the demand unit, is used to construct a transportation model according to the transportation parameters and the goods parameters, and based on the transportation model, adjust the main transportation route in combination with the received goods allocation plan to obtain the actual transportation route;

[0057] An assembly unit, which is respectively connected to the data acquisition unit and the transportation unit, is used to calculate the priority of each type of goods according to the actual transportation route and the goods parameters for the goods assembly of the transport vehicle.

[0058] Please refer to Figure 2 shown in the figure, which is the structural block diagram of the storage unit in the embodiment of the present invention. The storage unit includes:

[0059] An environmental monitoring sub-unit, which is connected to the data acquisition unit, is used to calculate the temperature environment value by combining the maximum effective temperature for storing goods and the minimum effective temperature for storing goods, and calculate the humidity environment value by combining the maximum effective humidity for storing goods and the minimum effective humidity for storing goods, and determine the weights of the temperature environment value and the humidity environment value, and calculate the storage environment value of each type of goods;

[0060] In implementation, the temperature environment value is calculated by combining the maximum effective temperature for storing goods and the minimum effective temperature for storing goods, , ;

[0061] =1,( or );

[0062] wherein, is the temperature environment value, is the maximum effective temperature for storing goods (unit: degree Celsius), is the minimum effective temperature for storing goods (unit: degree Celsius), is the actual temperature of the storage (unit: degree Celsius), is the intermediate value between the maximum effective temperature for storing goods and the minimum effective temperature for storing goods (unit: degree Celsius), , and numerical calculations are used in the formula calculation.

[0063] In implementation, the humidity environment value is calculated by combining the maximum effective humidity for storing goods and the minimum effective humidity for storing goods, , ;

[0064] = 1, ( or ));

[0065] Wherein, is the humidity environment value, is the maximum effective humidity for storing goods, is the minimum effective humidity for storing goods, is the actual humidity in the warehouse, is the intermediate value between the maximum effective humidity for storing goods and the minimum effective humidity for storing goods, , and numerical calculations are used in the formula calculation.

[0066] In implementation, the warehouse environment value , wherein, is the weight of the temperature environment value, is the weight of the humidity environment value, + = 1, is the warehouse environment value.

[0067] In a specific embodiment, it is set that the maximum effective temperature for storing goods F is 12 °C, the minimum effective temperature for storing goods F is 4 °C, the maximum effective humidity for storing goods F is 60%, the minimum effective humidity for storing goods F is 40%, the actual temperature in the warehouse is 10 °C, the actual humidity in the warehouse is 50%, the weight of the temperature environment value is 0.4, and the weight of the humidity environment value is 0.6. Then, the temperature environment value of goods F is 0.25, the humidity environment value is 0, and the warehouse environment value is 0.4 * 0.25 + 0 * 0.6 = 0.1.

[0068] It can be understood that and are determined by the sensitivity of the goods themselves to deterioration caused by changes in environmental temperature or environmental humidity. For example, vaccines, antibiotics, etc. are more sensitive to changes in environmental temperature than to changes in environmental humidity. Therefore, vaccines generally take 0.8, take 0.2; vegetables, medicinal materials, etc. are more sensitive to changes in humidity than to changes in temperature. Therefore, vegetables generally take 0.4, take 0.6.

[0069] The goods parameters include the effective storage temperature of the goods, the effective storage humidity of the goods, the effective storage time of the goods, and the volume of the goods. The effective storage temperature of the goods includes the maximum effective storage temperature of the goods and the minimum effective storage temperature of the goods. The effective storage humidity of the goods includes the maximum effective storage humidity of the goods and the minimum effective storage humidity of the goods. The environmental parameters include the actual temperature and actual humidity in the warehouse.

[0070] Specifically, the present invention determines the safety of cold chain storage by comprehensively collecting data of cold chain storage and analyzing the environmental values of cold chain storage. The products stored in cold chain storage are extremely sensitive to environmental conditions. By collecting and analyzing environmental data such as temperature and humidity in real time, abnormal environmental parameters can be detected in a timely manner, such as too high or too low temperature, too high humidity, etc., and corresponding measures can be taken for adjustment. This helps to ensure that the products are stored in a suitable environment, effectively prevent product deterioration and damage, maximize the quality and quality stability of the products, reduce product losses caused by environmental factors, and detect environmental anomalies and take measures in a timely manner to avoid major accidents such as equipment failures and product damage caused by environmental problems. For example, too high humidity may cause equipment rust and short circuit. By monitoring humidity, moisture-proof measures can be taken in advance to reduce equipment maintenance and replacement costs, reduce operation risks, and ensure the normal operation of cold chain storage. In the entire cold chain supply chain, accurate environmental data records and safety assessment results can be viewed and traced by upstream and downstream enterprises. This enhances the transparency of the supply chain, enables participants in each link to understand the storage environment of the products, and improves the trust of the supply chain. In-depth analysis of cold chain storage environmental data can discover the deficiencies of existing facilities and technologies, provide a basis for further technological improvement and innovation, and effectively improve the accuracy and reliability of the cold chain storage data security traceability system based on blockchain.

[0071] Please refer to Figure 3 as shown, which is a determination diagram for the alarm signal issued by the embodiment of the present invention. The storage unit further includes:

[0072] An alarm sub-unit, which is connected to the environmental monitoring sub-unit, is used to determine whether to issue an alarm signal based on the storage environment value and record the alarm time. Among them,

[0073] If the storage environment value is greater than or equal to the preset environment value, it is determined to issue an alarm signal and record the alarm time;

[0074] If the storage environment value is less than the preset environment value, it is determined to be normal;

[0075] In a specific embodiment, the preset environment value is set to 0.25. If the storage environment value is 0.7, which is greater than the preset environment value, it is determined to issue an alarm signal and record the alarm time;

[0076] If the storage environment value is 0.1, which is less than the preset environment value, it is determined to be normal.

[0077] The preset environment value is related to the effective storage temperature and effective storage humidity of the goods.

[0078] It is understandable that the effective temperature for storing goods is the suitable temperature range for the goods during cold chain storage, and the effective humidity for storing goods is the suitable humidity range during cold chain storage. For the party of the goods that is sensitive to temperature or humidity, the greater its weight, the greater its impact on the environmental value.

[0079] Specifically, the storage unit further includes:

[0080] A deployment subunit, which is connected to the alarm subunit and is used to send a deployment signal or a fallback signal based on the alarm time in combination with the goods parameters, where

[0081] if the alarm time is greater than or equal to the preset time and less than the effective storage time of the goods, it is determined to send a deployment signal;

[0082] if the alarm time is greater than the effective storage time of the goods, it is determined to send a fallback signal;

[0083] In a specific embodiment, the preset time is set to 10 days, and the effective storage time of the goods is 15 days. If the alarm time is 6 days, which is less than the preset time, it is determined to be normal;

[0084] if the alarm time is 12 days, which is greater than the preset time and less than the effective storage time of the goods, it is determined to send a deployment signal;

[0085] if the alarm time is 16 days, which is greater than the effective storage time of the goods, it is determined to send a fallback signal.

[0086] The effective storage time of the goods is the continuous duration from the moment the goods are placed in the storage unit to the maximum validity period of the goods. The preset time is positively correlated with the effective storage time of the goods, and the preset time is less than the effective storage time of the goods.

[0087] It is understandable that the greater the effective storage time of the goods, the longer the remaining shelf life of the goods, and the longer the preset time. Therefore, the preset time is positively correlated with the effective storage time of the goods.

[0088] Please refer to Figure 4 as shown, which is the determination diagram of the compound distribution plan in the embodiment of the present invention. The storage unit further includes:

[0089] An allocation subunit, which is connected to the deployment subunit and is used to receive the adjacent storage quantity of the adjacent storage unit, perform distribution calculation on the goods corresponding to the deployment signal, generate and send a distribution plan,

[0090] and receive and review the distribution plan sent by the adjacent storage unit, where

[0091] if the storage quantity is greater than or equal to the distribution plan, the review result is to agree to execute the distribution plan,

[0092] If the storage quantity is less than the distribution plan, the review result is insufficient inventory and a shortage signal is returned;

[0093] In a specific embodiment, the distribution plan is set to 5. If the storage quantity is 6, which is greater than the distribution plan, the review result is agreed.

[0094] If the storage quantity is 4, which is less than the distribution plan, the review result will be insufficient inventory, and a shortage signal will be returned.

[0095] Based on the allocation signal and the fallback signal combined with the storage volume of the adjacent storage unit, the allocation calculation or allocation review is performed to obtain the allocation plan;

[0096] Adjacent storage units are storage units within the transportation distance of the storage unit.

[0097] Specifically, the present invention issues early warnings for goods that have undergone quality changes in cold chain warehouses, and allocates goods among warehouses in combination with the storage volume, so that all relevant warehouses participate in the calculation and review of the distribution plan. Timely early warnings for goods that have undergone quality changes can enable warehouse management personnel to discover problematic goods as soon as possible, and allocate goods among warehouses in combination with the storage volume, so as to achieve optimal utilization of resources. Goods can be reasonably allocated according to the storage capacity, environmental conditions and cargo demand of different warehouses to avoid a backlog of goods in some warehouses and a shortage of goods in other warehouses. All relevant warehouses participate in the calculation and review of the distribution plan, making the distribution plan more accurate. Each warehouse can provide its own actual situation, including inventory quantity, cargo status, storage capacity and other information, so as to calculate the distribution plan. These factors can be taken into comprehensive consideration when calculating cargo volume and formulating distribution plans to avoid incorrect or unreasonable distribution situations. This approach promotes information sharing and collaborative cooperation among warehouses. In the process of participating in the distribution plan, each warehouse needs to communicate and exchange in a timely manner to jointly solve problems that arise in the distribution process. This helps to break down information barriers between warehouses, enhance the coordination and flexibility of the entire cold chain supply chain, and improve the operational efficiency of the supply chain. Through reasonable cargo allocation and accurate distribution plans, unnecessary transportation and storage costs can be reduced. Early warning of deteriorating goods and calculation and review of distribution plans by each warehouse enable enterprises to better identify and manage risks, discover potential risk factors in a timely manner, and further improve the accuracy and reliability of the blockchain-based cold chain warehousing data security traceability system.

[0098] Specifically, the demand unit counts the demand for each cargo, and plans the main transportation route of each transport vehicle based on the storage volume of each cargo, combined with the transportation parameters of each transport vehicle and the cargo parameters of each cargo, wherein:

[0099] Determine the transportation temperature according to the effective storage temperature of each cargo, and determine the transportation humidity according to the effective storage humidity of each cargo. The main transportation route is the shortest route for the transport vehicle from each warehouse to the destination where unloading is completed. The transportation parameters include the transportation temperature, transportation humidity, and transportation distance inside the transport vehicle.

[0100] Specifically, the transportation unit includes:

[0101] A simulation subunit, which is connected to the data acquisition subunit, is used to construct a transportation model based on the transportation parameters and the volume of the cargo, and perform simulated cargo assembly on each transport vehicle.

[0102] It can be understood that the hard constraints are determined according to the collected transportation parameters as temperature and humidity compatibility, and load and volume limitations. Among them, temperature and humidity compatibility includes transportation temperature ∈ [max(minimum temperature of the cargo), min(maximum temperature of the cargo)], and transportation humidity ∈ [max(minimum humidity of the cargo), min(maximum humidity of the cargo)]; load and volume limitations include total cargo weight per vehicle ≤ maximum vehicle load, and total cargo volume per vehicle ≤ vehicle compartment volume × loading efficiency coefficient.

[0103] It can be understood that the soft constraints are determined according to the collected transportation parameters as the shortest transportation distance, maximized loading efficiency, and lowest mixed loading complexity. Among them, the shortest transportation distance is to minimize the sum of the path distances from each warehouse point to the destination, the maximized loading efficiency is that the proportion of the cargo volume per vehicle ≥ 80%, and the lowest mixed loading complexity is that the number of cargo types transported by the same vehicle is less than or equal to 10 types.

[0104] It can be understood that based on the hard constraints and soft constraints, the cargo to be transported is simulated and assembled in the transport vehicle.

[0105] Specifically, the transportation unit further includes:

[0106] A route subunit, which is respectively connected to the simulation subunit, the warehouse unit, and the demand unit, is used to count the warehouse units that the transport vehicle needs to reach based on the transportation model in combination with the received cargo distribution plan, and add the warehouse units that deviate from the main transportation route to the main transportation route to obtain the actual transportation route.

[0107] In a specific embodiment, through the transportation model according to the cargo distribution plan, perform simulated cargo assembly on each transport vehicle, make full use of the space of the freight vehicle, maximize the number of assembled cargo, generate the warehouse units that need to be reached for assembling these cargo, combine the main transportation route to count the warehouse units not on the main transportation route, and add the warehouse units not on the main transportation route to the main transportation route to obtain the actual transportation route.

[0108] Specifically, through the planning and adjustment of the goods transportation route, the present invention improves the assembly efficiency, enables the goods to be delivered to the assembly location faster, allows the assembly work to be carried out in advance, effectively shortens the entire assembly cycle, meets the customer's requirements for the delivery time, enhances the enterprise's competitiveness. The scientific route planning can make the driving route of the vehicle more reasonable, reduce unreasonable driving conditions such as the vehicle running empty and taking a roundabout route, enable the vehicle to complete the transportation task more efficiently, improve the utilization efficiency of the vehicle, increase the number of transportation trips per unit time. The shorter transportation time and smoother transportation process help to ensure the quality of the goods. Especially for some goods with high requirements for transportation time and environment, such as fresh food, precision instruments, etc., fast and stable transportation can reduce the risk of the goods being damaged or deteriorated during transportation, ensure that the goods are in good condition when arriving at the assembly location, and provide guarantee for the smooth assembly. It can adjust the transportation route in a timely manner according to the actual situation, make the supply chain more flexible to cope with various changes, and further improve the accuracy and reliability of the cold chain warehousing data security traceability system based on blockchain.

[0109] Specifically, the assembly unit calculates the distance value of each good according to the actual transportation route, calculates the volume value of each good according to the volume of the good, and calculates the priority value of each good by combining the distance value and the volume value. The priority values are sorted from large to small, and each good is assembled according to the sorting result.

[0110] In a specific embodiment, the warehouses where the transport vehicle needs to unload goods on the actual transport route are Warehouse A, Warehouse B, and Warehouse C, with relative distances from the transport vehicle of 1 km, 3 km, and 9 km respectively. The volumes of goods J, K, and L in the transport vehicle are 0.03 cubic meters, 0.5 cubic meters, and 1.2 cubic meters respectively, and their volume values are 0.03, 0.5, and 1.2 respectively. Good J is unloaded at Warehouse B, and its distance value is 3. Good K is unloaded at Warehouse A, and its distance value is 1. Good L is unloaded at Warehouse C, and its distance value is 9. Then the priority value of the good is the distance value from the good to the unloading warehouse + the volume value * 10. Then the priority value of good J is 3.3, the priority value of good K is 6, and the priority value of good L is 21. Then during the assembly process of the transport vehicle, goods L, K, and J are loaded into the vehicle in turn from the inside to the outside of the cargo box.

[0111] Specifically, the present invention calculates the priority value of each cargo by combining the storage for unloading purposes of each cargo and the volume of each cargo, and assembles the cargos according to the arrangement order of the priority values, reducing the error rate of cargo assembly. Assembling the cargos in the order of the priority value arrangement can make the cargos more orderly during the loading and unloading process. First, load and unload the cargos with a long unloading distance and appropriate volume, and then load and unload the cargos with a short unloading distance. In this way, when arriving at different storages, the corresponding cargos can be quickly and accurately found and unloaded, reducing the time for searching and adjusting the cargos, and improving the loading and unloading efficiency. For example, in logistics distribution, when distributing cargos to multiple different destinations, assembling according to the priority value allows the vehicle to quickly unload the cargos after arriving at the destination, shortening the stay time of the vehicle at each storage and accelerating the logistics turnover speed. Reasonably arranging the assembly order and position according to the cargo volume can effectively avoid the extrusion and collision between cargos. Larger-volume cargos can be used as the bottom support, and smaller-volume cargos can be filled in the gaps, ensuring the stability of the cargos during transportation and reducing the risk of cargo damage caused by factors such as jolting and collision, reducing the losses of the enterprise. It helps to more reasonably utilize the space of the transportation tool, make full use of every space, avoid the situation of space waste, and improve the loading rate of the transportation tool. The clear priority value arrangement order provides clear operation guidance for the assembly personnel, reducing the randomness and blindness during the assembly process. The assembly personnel assemble the cargos in sequence according to the priority value, and it is not easy to have the situations of misloading and missing loading, greatly reducing the error rate of cargo assembly. At the same time, it is also convenient to conduct inspections and verifications after the assembly is completed to ensure the accuracy and integrity of the cargos. The assembly method based on the priority value makes the cargo assembly process more standardized and orderly. Logistics management personnel can more conveniently monitor and manage the cargo assembly situation. When problems occur, they can also quickly trace back to the specific links according to the priority value and assembly records, find out the cause of the problem, and take measures in time to solve the problem. This assembly method makes the connection between the transportation and storage links of the cargos smoother. Different storages can make preparations for receiving in advance according to the priority value of the cargos, improving the coordination between various links of the supply chain, and further enhancing the accuracy and reliability of the cold chain storage data security traceability system based on the blockchain.

[0112] Specifically, in the state where the transport unit is on the actual transport route of the transport vehicle, the transport unit receives the cargo distribution plan sent by each storage unit, compares the cargo distribution plan with the cargos of the transport vehicle, and unloads the cargos that do not exist in the cargo distribution plan to the storage unit closest to the cargo.

[0113] So far, the technical solution of the present invention has been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easily understood by those skilled in the art that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the protection scope of the present invention.

[0114] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A cold chain warehousing data security traceability system based on blockchain, characterized in that, Including: A data acquisition unit for acquiring the environmental parameters of each warehouse, the transportation parameters of each transport vehicle, and the cargo parameters of each cargo; A number of warehouse units connected to the data acquisition unit for counting the storage quantities of each cargo, calculating the storage environment values of each cargo based on the environmental parameters and the cargo parameters, determining whether to send an alarm signal and recording the alarm time based on the storage environment values, sending a deployment signal or a fallback signal based on the alarm time in combination with the cargo parameters, and receiving the adjacent storage quantities of adjacent warehouse units and performing cargo distribution operations or cargo distribution reviews based on the deployment signal to obtain a cargo distribution plan; A demand unit connected to the data acquisition unit and a number of the warehouse units respectively for counting the demand quantities of each cargo and planning the main transportation routes of each transport vehicle based on the storage quantities of each cargo, in combination with the transportation parameters of each transport vehicle and the cargo parameters of each cargo; A transportation unit connected to the data acquisition unit, the warehouse unit, and the demand unit respectively for constructing a transportation model based on the transportation parameters and the cargo parameters and adjusting the main transportation route based on the transportation model in combination with the received cargo distribution plan to obtain an actual transportation route; An assembly unit connected to the data acquisition unit and the transportation unit respectively for calculating the priority of each cargo based on the actual transportation route and the cargo parameters for cargo assembly of the transport vehicle.

2. The cold chain storage data security traceability system based on blockchain according to claim 1, characterized in that, The warehouse unit includes: An environmental monitoring subunit connected to the data acquisition unit for calculating a temperature environment value by combining the maximum effective temperature for cargo storage and the minimum effective temperature for cargo storage, calculating a humidity environment value by combining the maximum effective humidity for cargo storage and the minimum effective humidity for cargo storage, and determining the weights of the temperature environment value and the humidity environment value to calculate the storage environment value of each cargo; The cargo parameters include the effective storage temperature of the cargo, the effective storage humidity of the cargo, the effective storage time of the cargo, and the volume of the cargo. The effective storage temperature of the cargo includes the maximum effective temperature for cargo storage and the minimum effective temperature for cargo storage. The effective storage humidity of the cargo includes the maximum effective humidity for cargo storage and the minimum effective humidity for cargo storage. The environmental parameters include the actual temperature and actual humidity in the warehouse.

3. The cold chain storage data security traceability system based on blockchain according to claim 2, characterized in that, The warehouse unit further includes: An alarm subunit connected to the environmental monitoring subunit for determining whether to send the alarm signal based on the storage environment value and recording the alarm time, where if the storage environment value is greater than or equal to a preset environment value, it is determined to send the alarm signal and record the alarm time; The preset environment value is related to the effective storage temperature of the cargo and the effective storage humidity of the cargo.

4. The cold chain storage data security traceability system based on blockchain according to claim 3, wherein, The warehouse unit further includes: A deployment subunit connected to the alarm subunit for sending a deployment signal or a fallback signal based on the alarm time in combination with the cargo parameters, where if the alarm time is greater than or equal to a preset time and less than the effective storage time of the cargo, it is determined to send the deployment signal; If the alarm time is greater than the effective time for storing the goods, it is determined that the backward signal is issued; The effective time for storing the goods is the duration from the moment when the goods are placed in the storage unit to the maximum validity period of the goods. The preset time is positively correlated with the effective time for storing the goods, and the preset time is less than the effective time for storing the goods.

5. The cold chain storage data security traceability system based on blockchain according to claim 4, wherein The storage unit further includes: A distribution subunit, which is connected to the deployment subunit, is used to receive the adjacent storage quantity of the adjacent storage unit, perform the goods allocation operation on the goods corresponding to the deployment signal, generate and issue a goods allocation plan, And receive and review the goods allocation plan issued by the adjacent storage unit, where, If the storage quantity is greater than or equal to the goods allocation plan, the review result is to agree to execute the goods allocation plan, If the storage quantity is less than the goods allocation plan, the review result is that the inventory is insufficient, and an insufficient signal is returned; Based on the deployment signal and the backward signal, combined with the storage quantity of the adjacent storage unit, perform goods allocation operation or goods allocation review to obtain a goods allocation plan; The adjacent storage unit is the storage unit within the transportation distance of the storage unit.

6. The cold chain storage data security traceability system based on blockchain according to claim 5, wherein, The demand unit counts the demand quantity of each good. Based on the storage quantity of each good, combined with the transportation parameters of each transport vehicle and the goods parameters of each good, plan the main transportation route of each transport vehicle, where, Determine the transportation temperature according to the effective storage temperature of each good, determine the transportation humidity according to the effective storage humidity of each good. The main transportation route is the shortest route for the transport vehicle from each storage to the end point where unloading is completed. The transportation parameters include the transportation temperature, the transportation humidity and the transportation distance inside the transport vehicle.

7. The blockchain-based cold chain storage data security traceability system according to claim 6, wherein The transportation unit includes: A simulation subunit, which is connected to the data acquisition unit, is used to construct a transportation model according to the transportation parameters and the volume of the goods, and perform goods simulation assembly on each transport vehicle.

8. The blockchain-based cold chain warehousing data security traceability system according to claim 7, wherein, The transportation unit further includes: A route subunit, which is respectively connected to the simulation subunit, the storage unit and the demand unit, is used to count the storage units that the transport vehicle needs to reach based on the transportation model and the received goods allocation plan, and add the storage units deviating from the main transportation route to the main transportation route to obtain the actual transportation route.

9. The cold chain storage data security traceability system based on blockchain according to claim 8, characterized in that The assembly unit calculates the distance value of each good according to the actual transportation route, calculates the volume value of each good according to the volume of the goods, and combines the distance value and the volume value to calculate the priority value of each good. Sort the priority values from large to small, and assemble each good according to the sorting result.

10. The cold chain storage data security traceability system based on blockchain according to claim 9, characterized in that, When the transportation unit is in the state where the transport vehicle is on the actual transportation route, it receives the goods allocation plan issued by each storage unit, compares the goods allocation plan with the goods of the transport vehicle, and unloads the goods that do not exist in the goods allocation plan to the storage unit closest to the goods.

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