WO2020233062A1 - 分配物流货品的数据处理方法及装置 - Google Patents

分配物流货品的数据处理方法及装置 Download PDF

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Publication number
WO2020233062A1
WO2020233062A1 PCT/CN2019/121253 CN2019121253W WO2020233062A1 WO 2020233062 A1 WO2020233062 A1 WO 2020233062A1 CN 2019121253 W CN2019121253 W CN 2019121253W WO 2020233062 A1 WO2020233062 A1 WO 2020233062A1
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goods
logistics company
type
score
carried
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PCT/CN2019/121253
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English (en)
French (fr)
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王梦寒
赵达悦
陆陈一帆
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深圳壹账通智能科技有限公司
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Publication of WO2020233062A1 publication Critical patent/WO2020233062A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083—Shipping
    • G06Q10/0834—Choice of carriers
    • G06Q10/08345—Pricing

Definitions

  • This application relates to the technical field of data processing, in particular to data processing methods, devices, computer equipment and storage media for distributing logistics goods.
  • this application provides a data processing method, device, computer equipment and storage medium for distributing logistics goods.
  • a data processing method for distributing logistics goods includes:
  • the carrier information of each logistics company that has been entrusted to carry the goods of the goods type is obtained based on the goods type, and the carrier information includes the average carrier time per kilometer when the logistics company carries the goods of the goods type, and the logistics company The average service score of the goods of the said type of goods and the damage rate of the goods of the said type of goods carried by the logistics company;
  • a data processing device for distributing logistics goods includes:
  • the first obtaining unit is configured to obtain the goods type of the goods to be carried in the distribution request in response to the distribution request for distributing the goods to be carried;
  • the second obtaining unit is configured to obtain the transportation information of each logistics company that has been entrusted to carry the goods of the type of goods based on the type of goods, and the transportation information includes the transportation information per kilometer when the logistics company carries the goods of the type of goods.
  • the first execution unit is configured to determine the evaluation score of each logistics company based on the transportation information of the goods of the said type of goods carried by each logistics company;
  • the second execution unit is configured to determine the target logistics company that carries the goods to be carried based on the evaluation score.
  • a computer device which includes a memory and a processor, the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the processor executes the above allocation The steps of the data processing method of logistics goods.
  • a storage medium storing computer-readable instructions.
  • the one or more processors execute the above-mentioned data processing method for distributing logistics goods.
  • the storage medium may be a non-volatile storage medium, or referred to as a non-volatile computer readable storage medium.
  • the technical solution provided by the embodiments of the present disclosure can evaluate the service situation of the logistics company for the goods to be carried, so that the goods management system can reasonably select the logistics company suitable for the carrier, and the goods management system can allocate the goods to be carried to better services.
  • the accuracy of the logistics company can be Moreover, in view of the fact that the service conditions of various logistics companies are prone to fraud and other problems, the present disclosure can combine blockchain technology to obtain true and reliable shipping information of the same type of goods from the blockchain network according to the verified distribution request to determine
  • the evaluation scores of various logistics companies and operations such as chaining with the corresponding types of goods are used to determine the logistics company that carries the goods, which helps to improve the reliability of the logistics company for the determined goods to be carried, and avoids the confirmation of the falsified carrier information.
  • the problem of unreliability of the logistics company is used to determine the logistics company that carries the goods.
  • Fig. 1 is an implementation flowchart of a data processing method for distributing logistics goods shown in an exemplary embodiment of the present application.
  • Fig. 2 is a specific implementation flow chart of step S130 in a data processing method for distributing logistics goods shown in an exemplary embodiment of the present application.
  • Fig. 3 is a block diagram of a data processing device for distributing logistics goods according to an exemplary embodiment of the present application.
  • Fig. 4 schematically shows an example block diagram of a computer device for implementing the above-mentioned data processing method for distributing logistics goods.
  • Fig. 5 schematically shows a computer-readable storage medium for realizing the above-mentioned data processing method for distributing logistics goods.
  • the technical solution of the present application can be applied to a blockchain network, and specifically can be applied to blockchain nodes in the blockchain network.
  • the blockchain node may be a terminal, a server, a computer device, etc., which is not limited in this application.
  • Figure 1 is a flow chart of the implementation of a data processing method for distributing logistics goods provided in an embodiment of this application.
  • the execution subject of the data processing method for distributing logistics goods in this embodiment is an example of a computer device.
  • the equipment may specifically be a goods management system that manages the goods to be shipped.
  • the following takes the goods management system as an example for illustration.
  • the data processing method for distributing logistics goods as shown in Figure 1 may include the following steps:
  • Step S110 in response to the distribution request for distributing the goods to be carried, the goods type of the goods to be carried in the distribution request is obtained.
  • the goods management system when employees of an enterprise need to allocate goods to be carried to a reasonable logistics company through the goods management system, they can upload the goods information of the goods to be carried to the goods management system and pass the goods management system.
  • the preset distribution button triggers the distribution request for the goods to be shipped.
  • the goods management system responds to the distribution request for the distribution of the goods to be carried, and obtains the goods type of the goods to be carried in the distribution request.
  • the goods management system can specifically obtain the goods type of the goods to be carried from the goods information of the goods to be carried.
  • Step S120 Obtain the transportation information of each logistics company that has been entrusted to carry the goods of the goods type based on the goods type.
  • the transportation information includes the average transport time per kilometer when the logistics company carries the goods of the goods type, The average service score of the goods of the type of goods carried by the logistics company and the damage rate of the goods of the type of goods carried by the logistics company.
  • the goods management system stores in the local information database the shipping information of each logistics company entrusted by the enterprise to carry all types of goods of the enterprise.
  • the above-mentioned transportation information includes the average transportation time per kilometer of each type of goods carried by the logistics company, the average service score of each type of goods carried by the logistics company, and the damage rate of each type of goods carried by the logistics company .
  • the goods management system After obtaining the goods type of the goods to be carried in the distribution request, the goods management system will obtain the transportation information of each logistics company entrusted to carry the goods of the goods type based on the goods type of the goods to be carried in the distribution request.
  • step S130 the evaluation score of each logistics company is determined based on the transportation information of the goods of the said type of goods carried by each logistics company.
  • the goods management system determines the evaluation scores of each logistics company based on the shipping information of each logistics company carrying the goods of this type of goods. That is, the goods management system will determine the evaluation scores of each logistics company based on every time the logistics company carries the goods of this type of goods. The three dimensions of the average transportation time in kilometers, the average service score of the logistics company for the goods of this type of goods and the damage rate of the goods of the logistics company for the goods of this type of goods determine the evaluation score of each logistics company.
  • the goods management system determines the evaluation score of each logistics company, the shorter the average transport time per kilometer when the logistics company carries the goods of the type of goods, the higher the evaluation score of the logistics company, and vice versa. Low; the higher the average service score of the logistics company for the goods of this type of goods, the higher the evaluation score of the logistics company, and vice versa; for the logistics company, the lower the damage rate of the goods of this type of goods, the The higher the evaluation score of a logistics company, the lower it is. The higher the evaluation score of the logistics company, the better the service when the logistics company carries the goods to be carried, and the more suitable it is to serve as the target logistics company for the goods to be carried.
  • Step S140 Determine a target logistics company that carries the goods to be carried based on the evaluation score.
  • the goods management system determines a suitable logistics company to carry the goods to be carried based on the evaluation scores of the logistics company, and determines the logistics company as the target logistics company to carry the goods to be carried.
  • the goods management system responds to the distribution request for the distribution of the goods to be carried, obtains the goods type of the goods to be carried in the distribution request, and obtains the carrier information of each logistics company entrusted to carry the goods of the goods type based on the goods type. , Determine the evaluation score of each logistics company based on the transportation information of each logistics company carrying the goods of this type of goods, and determine the target logistics company that carries the goods to be carried based on the evaluation score, so that the goods management system can treat the goods to the logistics company
  • the evaluation of the service status of the goods enables the goods management system to reasonably select the logistics company suitable for the carrier, and improves the accuracy of the goods management system in assigning the goods to be carried to the logistics company with better service.
  • the step S140 of determining the target logistics company that carries the goods to be carried based on the evaluation score includes:
  • the logistics company with the highest evaluation score is determined as the target logistics company that carries the goods to be carried.
  • the goods management system may determine the logistics company with the highest evaluation score as the target logistics company that carries the goods to be carried.
  • the goods management system can also determine the logistics company whose evaluation score is higher than the preset score to determine the target logistics company that carries the goods to be carried.
  • the logistics company whose evaluation score is higher than the preset score
  • one of them can be randomly selected
  • a certain logistics company serves as the target logistics company that carries the goods to be carried.
  • the goods management system can also obtain the shipping place information and destination information of the goods to be carried, and can determine the transportation route of the goods to be carried according to the shipping place information and the destination information, and then Based on the transportation route, the transportation information of each entrusted logistics company on the transportation route is obtained. Further, when the goods management system determines the target logistics company that carries the goods to be carried based on the evaluation score, it may specifically determine the target logistics company that carries the goods to be carried based on the evaluation score and the transportation information.
  • the transportation information may include any one or more of the following: transportation times, transportation success times, transportation failure times, accident occurrence rate (for example, the quotient of transportation failure times and transportation times may be determined as the accident occurrence rate, or passed Determined in other ways).
  • the transportation route of the goods to be carried is preset, the transportation route can also be directly obtained.
  • the goods management system may determine a transportation route from it, and then obtain the transportation information of each logistics company on that transportation route; or may obtain the transportation information of each logistics company separately The transportation information of multiple transportation routes is calculated, and the total transportation information corresponding to the multiple transportation routes of each logistics company is calculated to determine the target logistics company based on the total transportation information.
  • the goods management system may also obtain the transportation time of the goods to be carried, and determine the transportation environment information of the multiple transportation routes based on the transportation time, and then based on The transportation environment information selects the transportation route from it.
  • the transportation environment information may include any one or more of the following: weather conditions corresponding to the transportation time, roadblocks (such as road closures, road repairs, etc.), route vehicle operation conditions (such as predicting the transportation time and the route Whether the number of vehicles is greater than the first number threshold, or whether there is a traffic jam risk, the length of the traffic jam, etc.), whether the transportation time is a holiday, etc. For example, choose a transportation route with sunny weather during transportation time, or choose a transportation route without road repairs.
  • the transportation information may include the number of transportations and the accident rate.
  • the goods management system determines the target logistics company that carries the goods to be carried based on the evaluation score and the transportation information, if based on the evaluation score, it determines that there are multiple logistics companies with evaluation scores higher than the preset score, it can be based on the transportation
  • the frequency and accident rate determine the target logistics company that carries the goods to be carried.
  • the first threshold and the second threshold can be preset or determined in other ways.
  • the logistics company with the number of transportations in the multiple logistics companies greater than the first threshold and the accident rate less than the second threshold can be determined as the target logistics company; and for example, the number of transportations in the multiple logistics companies is ranked top M (such as transportation The number of times is sorted from large to small), and the logistics company with the highest accident rate (for example, the accident rate is ranked from small to large) is determined as the target logistics company, or the target logistics company is selected in combination.
  • the goods management system (computer equipment) may send the distribution request of the type of goods carrying the goods to be carried to the blockchain node of the blockchain network, and the blockchain node may receive the distribution request; or
  • the goods management system can be deployed in the block chain network, that is, the goods management system is a block chain node in the block chain network.
  • the goods management system can be deployed in the blockchain network.
  • the goods management system may obtain the corresponding shipping information of each logistics company based on the goods type after obtaining the goods type of the goods to be carried in the distribution request.
  • the goods management system may send a distribution request of the type of goods carrying the goods to be carried to the blockchain node of the blockchain network, and the blockchain node may receive the distribution request.
  • the blockchain node may respond to the distribution request for distributing the goods to be carried, and obtain the goods type of the goods to be carried in the distribution request.
  • the blockchain node can obtain the corresponding shipping information of each logistics company based on the type of goods.
  • the allocation request can be verified, and when the verification is successful, the execution of the step of obtaining the transportation information is triggered, that is, it only responds to the allocation request of the legitimate requesting user.
  • the verification method can be multiple.
  • the blockchain node can determine the verification method for the distribution request based on the product type.
  • the corresponding relationship between the product type and the verification method can be preset, and then the product type in the distribution request can be obtained based on the product.
  • the verification method corresponding to the type determines the allocation request.
  • the blockchain node can determine the verification method of the allocation request based on the system time when the allocation request is obtained.
  • the corresponding relationship between the time period and the verification method can be preset, and then the system corresponding to the allocation request can be obtained by The time period to which the time belongs, and the corresponding verification method is determined based on the time period to verify the allocation request.
  • the blockchain node may determine the verification method for the allocation request based on the identification carried in the allocation request, etc., which is not limited in this application. This helps to improve the flexibility and reliability of verification.
  • the verification method may include: comparing whether the identity carried in the allocation request matches any identity in the identity list, if the matching is successful, the verification is successful; and the user information carried in the allocation request is paired based on the corresponding public key Decryption is performed. If the decryption is successful, the verification is successful; it is judged whether the identification carried in the distribution request matches the type of goods carried in the distribution request, and if the matching is successful, the verification is successful, and so on.
  • a private key and corresponding multiple public keys can be created in advance, for example, through an asymmetric encryption algorithm, and the multiple public keys correspond to different valid times.
  • the user information can be encrypted by the private key, and the blockchain node can decrypt the user information based on the public key of the corresponding time period, which helps prevent the user information from being stolen by illegal users and improves system security Sex.
  • the distribution request is verified, and when the verification is successful, the acquisition of the product type is triggered, and the carrier information is obtained based on the product type. Do not repeat it here.
  • the blockchain node can obtain the transportation information, for example, obtain the transportation information from the first block of the blockchain network.
  • the blockchain node can obtain the transportation information of each logistics company for each type of goods from a third-party organization, or receive the transportation information of each type of goods uploaded by each logistics company, and can reach a consensus
  • the first block of logistics data including the shipping information of various types of goods carried by multiple logistics companies is generated.
  • the score of the logistics company can be determined based on the transportation information of the first block, which helps prevent the logistics company or other illegal users from illegally tampering with the logistics data such as the transportation information, thereby improving the reliability of selection.
  • the blockchain node can also determine the evaluation scores of each logistics company relative to the type of goods based on the transportation information, and after determining the evaluation scores corresponding to each logistics company, it can also go on the chain. Generate a second block including the product type and the evaluation score of each logistics company to ensure that the information is true and reliable. Subsequently, when a distribution request of the same type of goods is received, the evaluation information of the logistics company is quickly obtained from the second block, so as to realize the rapid determination of the logistics company.
  • the effective time period of the second block can also be set. After the effective time period is exceeded, the second block can be deleted, or the latest logistics data such as carrier information within a preset time period can be retrieved. After evaluating each logistics company, update the second block, which helps to improve the reliability of the logistics data in the second block.
  • the blockchain node can determine the target logistics company based on each evaluation score, and can indicate the target logistics company's information to the designated device; also It can be that the blockchain node sends the evaluation score to the goods management system or other designated equipment, so that the goods management system or other designated equipment determines the target logistics company based on the evaluation score, and can indicate the information of the target logistics company.
  • This application Not limited.
  • the first block may also include the transportation information of multiple logistics companies carrying goods of each type on each transportation route, so that the target logistics company can be determined based on the transportation information and the evaluation score. Do not repeat it here.
  • the step S130 of determining the evaluation score of each logistics company based on the shipping information of the goods of the type of goods carried by each logistics company may specifically include the following steps:
  • Step S1301 based on the relationship between the average transport time per kilometer when the logistics company carries the goods of the type of goods in the carrier information, the average transport time per kilometer when the logistics company carries the goods of the type of goods and the first score Table to determine the first score.
  • the goods management system prestores in the local database the relationship table between the average transport time per kilometer and the first score when the logistics company carries the goods of the type of goods, wherein the relationship table is the type of goods carried by the logistics company The corresponding relationship between the average transport time per kilometer and the first score of the goods.
  • the goods management system is based on the relationship between the average carrier time per kilometer when the logistics company carries the goods of the type of goods in the carrier information of each logistics company, the average carrier time per kilometer when the logistics company carries the goods of the type of goods and the first score Table to determine the first score.
  • Step S1302 Based on the relationship table between the average service score of the goods of the type of goods carried by the logistics company, the average service score of the goods of the type of goods carried by the logistics company and the second score in the carrier information, it is determined to obtain Second score.
  • the goods management system prestores in the local database the relationship table between the average service score and the second score of the goods carried by the logistics company, where the relationship table is the type of goods carried by the logistics company The correspondence between the average service score of the goods and the second score.
  • the goods management system is based on the relationship table between the average service score of the goods carried by the logistics company, the average service score of the goods carried by the logistics company and the second score in the carrier information of each logistics company, and determines the first Two scores.
  • Step S1303 Determine to obtain a third score based on the relationship table between the cargo damage rate of the goods of the type of goods carried by the logistics company, the cargo loss rate of the goods of the type of goods carried by the logistics company and the third score in the carrier information.
  • the goods management system prestores in the local database a relationship table between the loss rate of the goods of the type of goods carried by the logistics company and the third score, where the relationship table is the goods carried by the logistics company Correspondence between the damage rate of the type of goods and the third score.
  • the goods management system is based on the relationship table between the cargo damage rate of the goods of the stated type of goods carried by the logistics company, the cargo damage rate of the goods of the stated type of goods carried by the logistics company and the third score in the carrier information of each logistics company to determine the first Three points.
  • Step S1304 Determine and obtain the evaluation score of each logistics company based on the first score, the second score, and the third score.
  • the goods management system determines the evaluation score of each logistics company based on the determined first score, second score, and third score. Among them, when the goods management system determines the evaluation score of each logistics company based on the first score, the second score and the third score, the sum of the first score, the second score and the third score can be used as the evaluation of each logistics company fraction.
  • the goods management system may also determine the evaluation score of each logistics company based on the weighted sum of the first score, the second score, and the third score.
  • the carrier information is generated based on the following method:
  • the historical transportation records include the transportation time of each time the logistics company carries the goods of the type of goods, and the logistics company The distance to carry the goods of the said type of goods, the service score of each time the logistics company transports the goods of the said type of goods, and the damage information of each time the logistics company transports the goods of the said type of goods.
  • the average service score for the goods of the type of goods carried by the logistics company is determined based on the service score each time the goods of the type of goods are carried by the logistics company.
  • the damage rate of the goods of the type of goods carried by the logistics company is determined based on the damage information each time the goods of the type of goods are carried by the logistics company.
  • the goods management system when the goods management system generates the shipping information of the goods type corresponding to the goods to be carried by each logistics company, it needs to obtain from the local information database each logistics company entrusted to carry the goods type in history All historical shipping records of the goods.
  • the historical carrier record includes at least the duration of each time the logistics company carries the goods of this type of goods, the distance of each time the logistics company carries the goods of this type of goods, and the service score of each time the logistics company carries the goods of this type of goods And the damage information every time the logistics company carries the goods of this type of goods.
  • the historical shipping record may also include information such as the price of each shipment of the type of goods carried by the logistics company.
  • the goods management system is specifically based on the carrier time of each shipment of this type of goods by the logistics company and the distance of each time the logistics company carries the goods of this type of goods to determine the carrier time per kilometer each time the logistics company carries the goods of this type of goods, and then Determine the average transportation time per kilometer when the logistics company carries the goods of this type of goods.
  • the goods management system specifically determines the average service score for the logistics company to carry the goods of the type of goods based on the service score each time the logistics company carries the goods of the type of goods.
  • the goods management system is specifically based on the damage information each time the logistics company carries the goods of the goods type, that is, whether the goods are damaged every time the logistics company carries the goods of the goods type to determine the damage rate of the goods of the goods type carried by the logistics company.
  • FIG. 3 is a data processing device for distributing logistics goods provided by an embodiment of the present application.
  • the data processing device for distributing logistics goods may be integrated in the above-mentioned computer equipment, and may specifically include a first obtaining unit 110 , The second acquisition unit 120, the first execution unit 130, and the second execution unit 140.
  • the first obtaining unit 110 is configured to obtain the type of the goods to be carried in the distribution request in response to the distribution request of the goods to be carried;
  • the second acquiring unit 120 is configured to acquire, based on the type of goods, the transportation information of each logistics company that has been entrusted to carry the goods of the type of goods, and the transportation information includes every kilometer when the logistics company carries the goods of the type of goods.
  • the first execution unit 130 is configured to determine the evaluation score of each logistics company based on the transportation information of the goods of the type of goods that each logistics company carries;
  • the second execution unit 140 is configured to determine the target logistics company that carries the goods to be carried based on the evaluation score.
  • the second execution unit is specifically configured to determine the logistics company with the highest evaluation score as the target logistics company that carries the goods to be carried.
  • the first execution unit includes:
  • the acquiring subunit is used for the average carrier time per kilometer when the logistics company carries the goods of the type of goods in the carrier information, the average carrier time per kilometer when the logistics company carries the goods of the type of goods and the first score
  • the first execution subunit is configured to determine the average service score of the goods of the type of goods carried by the logistics company based on the carrier information, the average service score of the goods of the type of goods carried by the logistics company and the second score Relationship table, determine the second score;
  • the second execution subunit is used to determine the relationship table between the cargo damage rate of the goods of the type of goods carried by the logistics company, the cargo damage rate of the goods of the type of goods carried by the logistics company and the third score in the carrier information Get the third score;
  • the third execution subunit is configured to determine the evaluation score of each logistics company based on the first score, the second score, and the third score.
  • the third execution subunit is specifically configured to determine to obtain the evaluation score of each logistics company based on the weighted sum of the first score, the second score, and the third score.
  • the carrier information is generated based on the following method:
  • the historical transportation records include the transportation time of each time the logistics company carries the goods of the type of goods, and the logistics company The distance to carry the goods of the said type of goods, the service score of each time the logistics company carries the goods of the said type of goods, and the damage information of each time the logistics company transports the goods of the said type of goods;
  • the damage rate of the goods of the type of goods carried by the logistics company is determined based on the damage information each time the goods of the type of goods are carried by the logistics company.
  • the first obtaining unit is further configured to obtain the shipping place information and destination information of the goods to be carried, and determine the goods to be carried according to the shipping place information and the destination information Transportation routes;
  • the second obtaining unit is further configured to obtain transportation information of each logistics company entrusted on the transportation route based on the transportation route, and the transportation information includes any one or more of the following: transportation times, transportation Number of successes, number of transportation failures, and accident rate;
  • the second execution unit may be specifically configured to determine a target logistics company that carries the goods to be carried based on the evaluation score and the transportation information.
  • the transportation information includes the number of transportations and the accident rate;
  • the second execution unit may be specifically configured to: based on the evaluation score, determine multiple logistics companies with evaluation scores higher than a preset score; Among the multiple logistics companies, the logistics company whose number of transportations is greater than the first threshold and the accident rate is less than the second threshold is determined as the target logistics company that carries the goods to be transported.
  • modules or units of the device for action execution are mentioned in the above detailed description, this division is not mandatory.
  • the features and functions of two or more modules or units described above may be embodied in one module or unit.
  • the features and functions of a module or unit described above can be further divided into multiple modules or units to be embodied.
  • the exemplary embodiments described herein can be implemented by software, or can be implemented by combining software with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (can be a CD-ROM, U disk, mobile hard disk, etc.) or on the network , Including several instructions to make a computing device (which may be a personal computer, a server, a mobile terminal, or a network device, etc.) execute the method according to the embodiment of the present disclosure.
  • a computing device which may be a personal computer, a server, a mobile terminal, or a network device, etc.
  • a computer device capable of implementing the above method is also provided.
  • FIG. 4 is a computer device 400 according to this embodiment of the present application.
  • the computer device 400 shown in FIG. 4 is only an example, and should not bring any limitation to the function and scope of use of the embodiments of the present application.
  • the computer device 400 is represented in the form of a general-purpose computing device.
  • the components of the computer device 400 may include, but are not limited to: the aforementioned at least one processing unit 410, the aforementioned at least one storage unit 420, and a bus 430 connecting different system components (including the storage unit 420 and the processing unit 410).
  • the storage unit stores program code, and the program code can be executed by the processing unit 410, so that the processing unit 410 executes the various exemplary methods described in the "Exemplary Method" section of this specification. Implementation steps.
  • the processing unit 410 may perform step S110 as shown in FIG.
  • step S120 in response to a distribution request for the distribution of goods to be carried, obtain the type of goods to be carried in the distribution request; step S120: based on the type of goods Obtain the transportation information of each logistics company that has been entrusted to carry the goods of the type of goods, the transportation information includes the average transportation time per kilometer when the logistics company carries the goods of the type of goods, and the type of goods carried by the logistics company The average service score of the goods and the damage rate of the goods of the type of goods carried by the logistics company; Step S130: Determine the evaluation score of each logistics company based on the transportation information of the goods of the type of goods carried by each logistics company; Step S140: Determine the target logistics company that carries the goods to be carried based on the evaluation score.
  • the storage unit 420 may include a readable medium in the form of a volatile storage unit, such as a random access storage unit (RAM) 4201 and/or a cache storage unit 4202, and may further include a read-only storage unit (ROM) 4203.
  • RAM random access storage unit
  • ROM read-only storage unit
  • the storage unit 420 may also include a program/utility tool 4204 having a set of (at least one) program module 4205.
  • program module 4205 includes but is not limited to: an operating system, one or more application programs, other program modules, and program data, Each of these examples or some combination may include the implementation of a network environment.
  • the bus 430 may represent one or more of several types of bus structures, including a storage unit bus or a storage unit controller, a peripheral bus, a graphics acceleration port, a processing unit, or a local area using any bus structure among multiple bus structures. bus.
  • the computer device 400 can also communicate with one or more external devices 600 (such as keyboards, pointing devices, Bluetooth devices, etc.), and can also communicate with one or more devices that enable users to interact with the computer device 400, and/or communicate with Any device (such as a router, modem, etc.) that enables the computer device 400 to communicate with one or more other computing devices. Such communication may be performed through an input/output (I/O) interface 440.
  • the computer device 400 may also communicate with one or more networks (for example, a local area network (LAN), a wide area network (WAN), and/or a public network, such as the Internet) through the network adapter 460. As shown in the figure, the network adapter 460 communicates with other modules of the computer device 400 through the bus 430.
  • LAN local area network
  • WAN wide area network
  • public network such as the Internet
  • the exemplary embodiments described herein can be implemented by software, or can be implemented by combining software with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (can be a CD-ROM, U disk, mobile hard disk, etc.) or on the network , Including several instructions to make a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) execute the method according to the embodiments of the present disclosure.
  • a computing device which may be a personal computer, a server, a terminal device, or a network device, etc.
  • a computer-readable storage medium on which is stored a program product capable of implementing the above method in this specification.
  • various aspects of the present application can also be implemented in the form of a program product, which includes program code.
  • the program product runs on a terminal device, the program code is used to enable the The terminal device executes the steps according to various exemplary embodiments of the present application described in the above-mentioned "Exemplary Method" section of this specification.
  • a program product 500 for implementing the above method according to an embodiment of the present application is described. It can adopt a portable compact disk read-only memory (CD-ROM) and include program code, and can be used in a computer device, For example, running on a personal computer.
  • CD-ROM compact disk read-only memory
  • the program product of this application is not limited to this.
  • the readable storage medium can be any tangible medium that contains or stores a program, and the program can be used by or combined with an instruction execution system, device, or device.
  • the program product can use any combination of one or more readable media.
  • the readable medium may be a readable signal medium or a readable storage medium.
  • the readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or a combination of any of the above. More specific examples (non-exhaustive list) of readable storage media include: electrical connections with one or more wires, portable disks, hard disks, random access memory (RAM), read only memory (ROM), erasable Type programmable read only memory (EPROM or flash memory), optical fiber, portable compact disk read only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above.
  • the computer-readable signal medium may include a data signal propagated in baseband or as a part of a carrier wave, and readable program code is carried therein. This propagated data signal can take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing.
  • the readable signal medium may also be any readable medium other than a readable storage medium, and the readable medium may send, propagate, or transmit a program for use by or in combination with the instruction execution system, apparatus, or device.
  • the program code contained on the readable medium can be transmitted by any suitable medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination of the foregoing.
  • the program code used to perform the operations of the present application can be written in any combination of one or more programming languages.
  • the programming languages include object-oriented programming languages—such as Java, C++, etc., as well as conventional procedural programming languages. Programming language-such as "C" language or similar programming language.
  • the program code can be executed entirely on the user's computing device, partly on the user's device, executed as an independent software package, partly on the user's computing device and partly executed on the remote computing device, or entirely on the remote computing device or server Executed on.
  • the remote computing device can be connected to a user computing device through any kind of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (for example, using Internet service providers) Business to connect via the Internet).
  • LAN local area network
  • WAN wide area network
  • Internet service providers Internet service providers

Abstract

一种分配物流货品的数据处理方法及装置，所述方法包括：响应于分配待承运货品的分配请求，获取所述分配请求中待承运货品的货品类型（S110）；基于所述货品类型获取所委托过的每个物流公司承运所述货品类型的货品的承运信息（S120），所述承运信息包括物流公司承运所述货品类型的货品时每公里的平均承运时长、对物流公司承运所述货品类型的货品的平均服务评分以及物流公司承运所述货品类型的货品的货损率。该方法使得货品管理系统能合理的选择适合承运的物流公司，提高了货品管理系统将待承运货品分配至服务更优的物流公司的准确度。

Description

分配物流货品的数据处理方法及装置
本申请要求于2019年05月23日提交中国专利局、申请号为201910435823X、申请名称为“分配物流货品的数据处理方法及装置”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及数据处理的技术领域，特别是涉及分配物流货品的数据处理方法、装置、计算机设备和存储介质。
背景技术
对于企业而言，当企业需要将货品通过物流公司寄送到目的地时，需要综合考虑多个因素去选择适合承运的物流公司。
现有技术中，企业对应的货品管理系统在选择物流公司时，一般以随机分配的方式将货品分配给承运货品的某个物流公司，该方法没有充分考虑到与企业合作的每个物流公司对货品的服务情况，因此会使得货品管理系统不能合理的选择适合承运的物流公司。
发明内容
基于此，为解决现有技术中的货品管理系统不能合理的选择适合承运的物流公司的技术问题，本申请提供了一种分配物流货品的数据处理方法、装置、计算机设备和存储介质。
第一方面，提供了一种分配物流货品的数据处理方法，所述方法包括：
响应于分配待承运货品的分配请求，获取所述分配请求中待承运货品的货品类型；
基于所述货品类型获取所委托过的每个物流公司承运所述货品类型的货品的承运信息，所述承运信息包括物流公司承运所述货品类型的货品时每公里的平均承运时长、对物流公司承运所述货品类型的货品的平均服务评分以及物流公司承运所述货品类型的货品的货损率；
基于每个物流公司承运所述货品类型的货品的承运信息确定每个物流公司的评估分数；
基于所述评估分数确定承运所述待承运货品的目标物流公司。
第二方面，提供了分配物流货品的数据处理装置，所述装置包括：
第一获取单元，用于响应于分配待承运货品的分配请求，获取所述分配请求中待承运货品的货品类型；
第二获取单元，用于基于所述货品类型获取所委托过的每个物流公司承运所述货品类型的货品的承运信息，所述承运信息包括物流公司承运所述货品类型的货品时每公里的平均承运时长、对物流公司承运所述货品类型的货品的平均服务评分以及物流公司承运所述货品类型的货品的货损率；
第一执行单元，用于基于每个物流公司承运所述货品类型的货品的承运信息确定每个物流公司的评估分数；
第二执行单元，用于基于所述评估分数确定承运所述待承运货品的目标物流公司。
第三方面，提供了一种计算机设备，包括存储器和处理器，所述存储器中存储有计算机可读指令，所述计算机可读指令被所述处理器执行时，使得所述处理器执行上述分配物流货品的数据处理方法的步骤。
第四方面，提供了一种存储有计算机可读指令的存储介质，所述计算机可读指令被一个或多个处理器执行时，使得一个或多个处理器执行上述分配物流货品的数据处理方法的步骤。可选的，该存储介质可以非易失性存储介质，或者称为计算机非易失性可读存储介质。
本公开的实施例提供的技术方案能对物流公司对待承运货品的服务情况进行评估，使得货品管理系统能合理的选择适合承运的物流公司，提高了货品管理系统将待承运货品分配至服务更优的物流公司的准确度。而且，针对各物流公司的服务情况容易存在造假等问题，本公开能够结合区块链技术，根据校验通过的分配请求从区块链网络中获取真实可靠的同类型货品的承运信息，以确定出各物流公司的评估分数并与对应货品类型上链等操作，来确定承运货品的物流公司，有助于提升确定出的待承运货品物流公司的可靠性，避免因承运信息等造假导致确定出的该物流公司不可靠的问题。
附图说明
图1是本申请一示例性实施例示出的一种分配物流货品的数据处理方法的实现流程图。
图2是本申请一示例性实施例示出的一种分配物流货品的数据处理方法中步骤S130的一种具体实现流程图。
图3是本申请一示例性实施例示出的一种分配物流货品的数据处理装置的框图。
图4示意性示出一种用于实现上述分配物流货品的数据处理方法的计算机设备示例框图。
图5示意性示出一种用于实现上述分配物流货品的数据处理方法的计算 机可读存储介质。
具体实施方式
以下结合附图及实施例，对本申请进行进一步详细说明。
本申请的技术方案可应用于区块链网络，具体可应用于该区块链网络中的区块链节点。可选的，该区块链节点可以为终端、服务器、计算机设备等等，本申请不做限定。
参考图1，图1为本申请一实施例中提供的分配物流货品的数据处理方法的实现流程图，本实施例中的分配物流货品的数据处理方法的执行主体为计算机设备为例，该计算机设备具体可以为对待承运货品进行管理的货品管理系统，以下以货品管理系统为例来进行说明。如图1所示的分配物流货品的数据处理方法可包括以下步骤：
步骤S110，响应于分配待承运货品的分配请求，获取所述分配请求中待承运货品的货品类型。
在本申请一个实施例中，当企业的员工需要通过货品管理系统将待承运货品分配至合理的物流公司时，可以将待承运货品的货品信息上传至货品管理系统中，并通过货品管理系统中预设的分配按钮触发分配待承运货品的分配请求。货品管理系统响应于分配待承运货品的分配请求，获取该分配请求中的待承运货品的货品类型，货品管理系统具体可以从待承运货品的货品信息中获取待承运货品的货品类型。
步骤S120，基于所述货品类型获取所委托过的每个物流公司承运所述货品类型的货品的承运信息，所述承运信息包括物流公司承运所述货品类型的货品时每公里的平均承运时长、对物流公司承运所述货品类型的货品的平均服务评分以及物流公司承运所述货品类型的货品的货损率。
在本申请一个实施例中，货品管理系统在本地信息库中存储有企业所有委托过的每个物流公司承运该企业的所有货品类型的货品的承运信息。其中，上述承运信息包括物流公司承运每个货品类型的货品时每公里的平均承运时长、对物流公司承运每个货品类型的货品的平均服务评分以及物流公司承运每个货品类型的货品的货损率。
货品管理系统在获取分配请求中的待承运货品的货品类型后，会基于分配请求中待承运货品的货品类型获取所委托过的每个物流公司承运该货品类型的货品的承运信息。
步骤S130，基于每个物流公司承运所述货品类型的货品的承运信息确定每个物流公司的评估分数。
在本申请一个实施例中，货品管理系统基于每个物流公司承运该货品类型的货品的承运信息确定每个物流公司的评估分数，即货品管理系统会基于物流公司承运该货品类型的货品时每公里的平均承运时长、对物流公司承运该货品类型的货品的平均服务评分以及物流公司承运该货品类型的货品的货损率这三个维度的信息确定每个物流公司的评估分数。
需要说明的是，货品管理系统在确定每个物流公司的评估分数时，对于物流公司承运该货品类型的货品时每公里的平均承运时长越短的，该物流公司的评估分数越高，反之越低；对于对物流公司承运该货品类型的货品的平均服务评分越高的，该物流公司的评估分数越高，反之越低；对于物流公司承运该货品类型的货品的货损率越低的，该物流公司的评估分数越高，反之越低。物流公司的评估分数越高，说明物流公司承运待承运货品时的服务越优质，越适合作为承运该待承运货品的目标物流公司。
步骤S140，基于所述评估分数确定承运所述待承运货品的目标物流公司。
在本申请一个实施例中，货品管理系统基于物流公司的评估分数确定合适承运待承运货品的物流公司，并将该物流公司确定为承运待承运货品的目标物流公司。
以上可以看出，货品管理系统响应于分配待承运货品的分配请求，获取分配请求中待承运货品的货品类型，基于货品类型获取所委托过的每个物流公司承运该货品类型的货品的承运信息，基于每个物流公司承运该货品类型的货品的承运信息确定每个物流公司的评估分数，基于该评估分数确定承运待承运货品的目标物流公司，从而使得货品管理系统能对物流公司对待承运货品的服务情况进行评估，使得货品管理系统能合理的选择适合承运的物流公司，提高了货品管理系统将待承运货品分配至服务更优的物流公司的准确度。
在一个实施例中，所述基于所述评估分数确定承运所述待承运货品的目标物流公司的步骤S140，包括：
将所述评估分数最高的物流公司确定为承运所述待承运货品的目标物流公司。
在本申请一个实施例中，货品管理系统可以将评估分数最高的物流公司确定为承运该待承运货品的目标物流公司。
可选地，货品管理系统还可以将评估分数高于预设分数的物流公司确定承运该待承运货品的目标物流公司，当高于预设分数的物流公司为多个时，可以随机选取其中的某个物流公司作为承运该待承运货品的目标物流公司。
在一个实施例中，货品管理系统还可获取该待承运货品的发货地信息和目的地信息，并可根据该发货地信息和该目的地信息确定该待承运货品的运输路 线，进而可基于该运输路线获取所委托过的每个物流公司在该运输路线的运输信息。进一步的，货品管理系统在基于该评估分数确定承运该待承运货品的目标物流公司时，可以具体基于该评估分数和该运输信息确定承运该待承运货品的目标物流公司。其中，该运输信息可以包括以下任一项或多项：运输次数、运输成功次数、运输失败次数、事故发生率(比如可将运输失败次数和运输次数的商值确定为事故发生率，或者通过其他方式确定出)。可选的，如果该待承运货品的运输路线预先设置得到，还可直接获取该运输路线。进一步可选的，如果确定出的运输路线包括多条，货品管理系统可以从中确定出一条运输路线后，再获取各物流公司在该条运输路线的运输信息；或者可以分别获取各物流公司在该多条运输路线的运输信息，计算出各物流公司在该多条运输路线对应的总的运输信息，以基于总的运输信息确定目标物流公司。
可选的，货品管理系统在从该多条运输路线确定一条运输路线时，还可以通过获取该待承运货品的运输时间，基于该运输时间分别确定该多条运输路线的运输环境信息，进而基于运输环境信息选择从中运输路线。其中，该运输环境信息可以包括以下任一项或多项：该运输时间对应的天气情况、路障情况(比如是否封路、修路等等)、路线车辆运行情况(比如预测该运输时间该路线的车辆数量是否大于第一数量阈值，又如是否存在堵车风险、堵车时长等等)、运输时间是否为节假日等等。比如选择运输时间天气晴朗的运输路线，又如选择未存在修路情况的运输路线等等。
例如，在一个实施例中，该运输信息可以包括运输次数和事故发生率。货品管理系统在基于该评估分数和该运输信息确定承运该待承运货品的目标物流公司时，如果基于该评估分数，确定出评估分数高于预设分数的物流公司为多个，可以根据该运输次数和事故发生率确定承运该待承运货品的目标物流公司。其中，该第一阈值和第二阈值可预先设置得到，或者可以通过其他方式确定出。比如可将该多个物流公司中运输次数大于第一阈值，且事故发生率小于第二阈值的物流公司确定为目标物流公司；又如将该多个物流公司中运输次数排前M(如运输次数由大到小排序)，且事故发生率排前N(如事故发生率由小到大排序)的物流公司确定为目标物流公司，或者结合选择目标物流公司等等。
可选的，该货品管理系统(计算机设备)可将携带该待承运货品的货品类型的分配请求发送至区块链网络的区块链节点，区块链节点可接收该分配请求；或者，该货品管理系统可以部署于该区块链网络中，即该货品管理系统为区块链网络中的一个区块链节点。
例如，该货品管理系统可以部署于该区块链网络中。在本申请一个实施例 中，货品管理系统可在获取该分配请求中待承运货品的货品类型之后，基于该货品类型获取对应的各物流公司的承运信息。
又如，该货品管理系统可将携带该待承运货品的货品类型的分配请求发送至区块链网络的区块链节点，区块链节点可接收该分配请求。在本申请一个实施例中，区块链节点在接收到该分配请求之后，可响应于分配待承运货品的分配请求，获取该分配请求中待承运货品的货品类型。进而区块链节点可基于该货品类型获取对应的各物流公司的承运信息。
可选的，在获取该承运信息之前，还可对该分配请求进行校验，并在校验成功时再触发执行该获取承运信息的步骤，即只对合法的请求用户的分配请求进行响应，从而有助于降低数据处理开销，提升数据处理的可靠性。其中，该校验的方式可以为多种。例如，区块链节点可基于该货品类型确定对该分配请求的校验方式，如可预先设置得到货品类型和校验方式的对应关系，进而可通过获取分配请求中的货品类型，基于该货品类型确定对应的校验方式对该分配请求进行校验。又如，区块链节点可基于获取到分配请求的系统时间确定对该分配请求的校验方式，如可预先设置得到时间段和校验方式的对应关系，进而可通过获取分配请求对应的系统时间所属的时间段，基于该时间段确定对应的校验方式对该分配请求进行校验。又如，区块链节点可基于分配请求携带的身份标识确定对该分配请求的校验方式，等等，本申请不做限定。从而有助于提升校验的灵活性和可靠性。
示例的，该校验方式可以包括：对比分配请求携带的身份标识是否与标识列表中的任一身份标识匹配，如果匹配成功，则校验成功；基于对应的公钥对分配请求携带的用户信息进行解密，如果解密成功，则校验成功；判断分配请求携带的身份标识是否与该分配请求携带的货品类型匹配，如果匹配成功，则校验成功，等等。其中，针对基于对应的公钥对分配请求携带的用户信息进行解密的场景，可以预先创建比如通过非对称加密算法创建私钥和对应的多个公钥，该多个公钥对应不同的有效时间段，该用户信息可以是通过私钥加密，进而区块链节点可基于对应时间段的公钥对该用户信息进行解密，这就有助于防止该用户信息被非法用户窃取，提升了系统安全性。
或者，可选的，或者在获取该分配请求中的货品类型之前，对该分配请求进行校验，并在校验成功时在触发获取该货品类型，并基于该货品类型获取该承运信息，此处不赘述。
进一步的，如果校验成功，区块链节点即可获取该承运信息，比如从区块链网络的第一区块中获取该承运信息。可选的，区块链节点可从第三方机构获取各物流公司分别承运各货品类型的货品的承运信息，或者接收各物流公司分 别上传的承运各货品类型的货品的承运信息，并可进行共识验证，达成共识后，生成包括多个物流公司分别承运各货品类型的货品的承运信息等物流数据的第一区块。进而可基于该第一区块的承运信息来确定物流公司的分数，有助于防止物流公司或其他非法用户非法篡改承运信息等物流数据，进而提升了选择可靠性。
在获取到该承运信息之后，区块链节点还可基于该承运信息确定各物流公司相对于该货品类型的评估分数，并在确定出各物流公司对应的评估分数之后，还可进行上链，生成包括该货品类型和每个物流公司的评估分数的第二区块，以确保信息真实可靠。后续在接收到相同货品类型的分配请求时，从快速从该第二区块中获取该物流公司的评估信息，以实现物流公司的快速确定。可选的，还可设置该第二区块的有效时间段，在超过该有效时间段之后，可删除该第二区块，或者获取最新的如预设时间段内的承运信息等物流数据重新评估各物流公司后对该第二区块进行更新，这就有助于提升第二区块中的物流数据的可靠性。
在基于各物流公司的评估分数确定承运待承运货品的目标物流公司时，可以是区块链节点基于各评估分数确定出该目标物流公司，并可向指定设备指示该目标物流公司的信息；也可以是区块链节点将该评估分数发送给货品管理系统或其他指定设备，以使货品管理系统或其他指定设备基于该评估分数确定目标物流公司，并可指示该目标物流公司的信息，本申请不做限定。
可选的，该第一区块中还可包括多个物流公司分别承运各货品类型的货品在各条运输路线上的运输信息，从而可基于该运输信息和该评估分数确定目标物流公司，此处不赘述。
参考图2，在一个实施例中，所述基于每个物流公司承运所述货品类型的货品的承运信息确定每个物流公司的评估分数的步骤S130具体可包括如下步骤：
步骤S1301，基于所述承运信息中物流公司承运所述货品类型的货品时每公里的平均承运时长、物流公司承运所述货品类型的货品时每公里的平均承运时长和第一分数之间的关系表，确定得到第一分数。
在本申请一个实施例中，货品管理系统在本地数据库中预存物流公司承运货品类型的货品时每公里的平均承运时长和第一分数的关系表，其中，该关系表为物流公司承运货品类型的货品时每公里的平均承运时长和第一分数的对应关系。货品管理系统基于每个物流公司的承运信息中物流公司承运该货品类型的货品时每公里的平均承运时长、物流公司承运货品类型的货品时每公里的平均承运时长和第一分数之间的关系表，确定得到第一分数。
步骤S1302，基于所述承运信息中对物流公司承运所述货品类型的货品的平均服务评分、对物流公司承运所述货品类型的货品的平均服务评分和第二分数之间的关系表，确定得到第二分数。
在本申请一个实施例中，货品管理系统在本地数据库中预存对物流公司承运货品类型的货品的平均服务评分和第二分数之间的关系表，其中，该关系表为物流公司承运货品类型的货品的平均服务评分和第二分数之间的对应关系。货品管理系统基于每个物流公司的承运信息中对物流公司承运货品类型的货品的平均服务评分、对物流公司承运货品类型的货品的平均服务评分和第二分数之间的关系表，确定得到第二分数。
步骤S1303，基于所述承运信息中物流公司承运所述货品类型的货品的货损率、物流公司承运所述货品类型的货品的货损率和第三分数之间的关系表，确定得到第三分数。
在本申请一个实施例中，货品管理系统在本地数据库中预存物流公司承运所述货品类型的货品的货损率和第三分数之间的关系表，其中，该关系表为物流公司承运所述货品类型的货品的货损率和第三分数之间的对应关系。货品管理系统基于每个物流公司的承运信息中物流公司承运所述货品类型的货品的货损率、物流公司承运所述货品类型的货品的货损率和第三分数之间的关系表，确定得到第三分数。
步骤S1304，基于所述第一分数、所述第二分数以及所述第三分数确定得到每个物流公司的评估分数。
在本申请一个实施例中，货品管理系统基于所确定的第一分数、第二分数以及第三分数确定得到每个物流公司的评估分数。其中，货品管理系统基于第一分数、第二分数以及第三分数确定得到每个物流公司的评估分数时，可以将第一分数、第二分数以及第三分数的和作为每个物流公司的评估分数。
可选地，货品管理系统还可以基于第一分数、第二分数以及第三分数加权和，确定得到每个物流公司的评估分数。
在一个实施例中，所述承运信息基于以下方法生成：
获取所委托过的每个物流公司历史上承运所述货品类型的货品的所有历史承运记录，其中，所述历史承运记录包括物流公司每次承运所述货品类型的货品的承运时长、物流公司每次承运所述货品类型的货品的路程、对物流公司每次承运所述货品类型的货品时的服务评分以及物流公司每次承运所述货品类型的货品时的损坏信息。
基于所述物流公司每次承运所述货品类型的货品的承运时长和物流公司每次承运所述货品类型的货品的路程确定所述物流公司承运所述货品类型的 货品时每公里的平均承运时长。
基于所述对物流公司每次承运所述货品类型的货品时的服务评分确定对所述物流公司承运所述货品类型的货品的平均服务评分。
基于所述物流公司每次承运所述货品类型的货品时的损坏信息确定所述物流公司承运所述货品类型的货品的货损率。
在本申请一个实施例中，货品管理系统在生成每个物流公司待承运货品对应的货品类型的承运信息时，需要从本地信息库中获取所委托过的每个物流公司历史上承运该货品类型的货品的所有历史承运记录。其中，该历史承运记录至少包括物流公司每次承运该货品类型的货品的承运时长、物流公司每次承运该货品类型的货品的路程、对物流公司每次承运该货品类型的货品时的服务评分以及物流公司每次承运该货品类型的货品时的损坏信息。当然，历史承运记录还可以包括物流公司每次承运该货品类型的货品的价格等信息。
货品管理系统具体基于物流公司每次承运该货品类型的货品的承运时长和物流公司每次承运该货品类型的货品的路程确定物流公司每次承运该货品类型的货品时每公里的承运时长，进而确定得到物流公司承运该货品类型的货品时每公里的平均承运时长。
货品管理系统具体基于对物流公司每次承运货品类型的货品时的服务评分确定对物流公司承运该货品类型的货品的平均服务评分。
货品管理系统具体基于物流公司每次承运该货品类型的货品时的损坏信息，即物流公司每次承运货品类型的货品时是否损坏货品的情况来确定物流公司承运该货品类型的货品的货损率。
参考图3，图3是本申请一个实施例提供的一种分配物流货品的数据处理装置，所述分配物流货品的数据处理装置可以集成于上述的计算机设备中，具体可以包括第一获取单元110、第二获取单元120、第一执行单元130以及第二执行单元140。
第一获取单元110，用于响应于分配待承运货品的分配请求，获取所述分配请求中待承运货品的货品类型；
第二获取单元120，用于基于所述货品类型获取所委托过的每个物流公司承运所述货品类型的货品的承运信息，所述承运信息包括物流公司承运所述货品类型的货品时每公里的平均承运时长、对物流公司承运所述货品类型的货品的平均服务评分以及物流公司承运所述货品类型的货品的货损率；
第一执行单元130，用于基于每个物流公司承运所述货品类型的货品的承运信息确定每个物流公司的评估分数；
第二执行单元140，用于基于所述评估分数确定承运所述待承运货品的目 标物流公司。
可选地，所述第二执行单元具体用于将所述评估分数最高的物流公司确定为承运所述待承运货品的目标物流公司。
可选地，所述第一执行单元，包括：
获取子单元，用于基于所述承运信息中物流公司承运所述货品类型的货品时每公里的平均承运时长、物流公司承运所述货品类型的货品时每公里的平均承运时长和第一分数之间的关系表，确定得到第一分数；
第一执行子单元，用于基于所述承运信息中对物流公司承运所述货品类型的货品的平均服务评分、对物流公司承运所述货品类型的货品的平均服务评分和第二分数之间的关系表，确定得到第二分数；
第二执行子单元，用于基于所述承运信息中物流公司承运所述货品类型的货品的货损率、物流公司承运所述货品类型的货品的货损率和第三分数之间的关系表，确定得到第三分数；
第三执行子单元，用于基于所述第一分数、所述第二分数以及所述第三分数确定得到每个物流公司的评估分数。
可选地，所述第三执行子单元具体用于基于所述第一分数、所述第二分数以及所述第三分数加权和，确定得到每个物流公司的评估分数。
可选地，所述承运信息基于以下方法生成：
获取所委托过的每个物流公司历史上承运所述货品类型的货品的所有历史承运记录，其中，所述历史承运记录包括物流公司每次承运所述货品类型的货品的承运时长、物流公司每次承运所述货品类型的货品的路程、对物流公司每次承运所述货品类型的货品时的服务评分以及物流公司每次承运所述货品类型的货品时的损坏信息；
基于所述物流公司每次承运所述货品类型的货品的承运时长和物流公司每次承运所述货品类型的货品的路程确定所述物流公司承运所述货品类型的货品时每公里的平均承运时长；
基于所述对物流公司每次承运所述货品类型的货品时的服务评分确定对所述物流公司承运所述货品类型的货品的平均服务评分；
基于所述物流公司每次承运所述货品类型的货品时的损坏信息确定所述物流公司承运所述货品类型的货品的货损率。
可选地，所述第一获取单元，还用于获取所述待承运货品的发货地信息和目的地信息，并根据所述发货地信息和所述目的地信息确定所述待承运货品的运输路线；
所述第二获取单元，还用于基于所述运输路线获取所委托过的每个物流公 司在所述运输路线的运输信息，所述运输信息包括以下任一项或多项：运输次数、运输成功次数、运输失败次数、事故发生率；
所述第二执行单元可具体用于基于所述评估分数和所述运输信息确定承运所述待承运货品的目标物流公司。
可选地，所述运输信息包括运输次数和事故发生率；所述第二执行单元可具体用于：基于所述评估分数，确定出评估分数高于预设分数的多个物流公司；将所述多个物流公司中运输次数大于第一阈值，且事故发生率小于第二阈值的物流公司确定为承运所述待承运货品的目标物流公司。
上述装置中各个模块的功能和作用的实现过程具体详见上述分配物流货品的数据处理方法中对应步骤的实现过程，在此不再赘述。
应当注意，尽管在上文详细描述中提及了用于动作执行的设备的若干模块或者单元，但是这种划分并非强制性的。实际上，根据本公开的实施方式，上文描述的两个或更多模块或者单元的特征和功能可以在一个模块或者单元中具体化。反之，上文描述的一个模块或者单元的特征和功能可以进一步划分为由多个模块或者单元来具体化。
此外，尽管在附图中以特定顺序描述了本公开中方法的各个步骤，但是，这并非要求或者暗示必须按照该特定顺序来执行这些步骤，或是必须执行全部所示的步骤才能实现期望的结果。附加的或备选的，可以省略某些步骤，将多个步骤合并为一个步骤执行，以及/或者将一个步骤分解为多个步骤执行等。
通过以上的实施方式的描述，本领域的技术人员易于理解，这里描述的示例实施方式可以通过软件实现，也可以通过软件结合必要的硬件的方式来实现。因此，根据本公开实施方式的技术方案可以以软件产品的形式体现出来，该软件产品可以存储在一个非易失性存储介质(可以是CD-ROM，U盘，移动硬盘等)中或网络上，包括若干指令以使得一台计算设备(可以是个人计算机、服务器、移动终端、或者网络设备等)执行根据本公开实施方式的方法。
在本公开的示例性实施例中，还提供了一种能够实现上述方法的计算机设备。
所属技术领域的技术人员能够理解，本申请的各个方面可以实现为系统、方法或程序产品。因此，本申请的各个方面可以具体实现为以下形式，即：完全的硬件实施方式、完全的软件实施方式(包括固件、微代码等)，或硬件和软件方面结合的实施方式，这里可以统称为“电路”、“模块”或“系统”。
参考图4，图4是根据本申请的这种实施方式的计算机设备400。图4显示的计算机设备400仅仅是一个示例，不应对本申请实施例的功能和使用范围带来任何限制。
如图4所示，计算机设备400以通用计算设备的形式表现。计算机设备400的组件可以包括但不限于：上述至少一个处理单元410、上述至少一个存储单元420、连接不同系统组件(包括存储单元420和处理单元410)的总线430。
其中，所述存储单元存储有程序代码，所述程序代码可以被所述处理单元410执行，使得所述处理单元410执行本说明书上述“示例性方法”部分中描述的根据本申请各种示例性实施方式的步骤。例如，所述处理单元410可以执行如图1中所示的步骤S110：响应于分配待承运货品的分配请求，获取所述分配请求中待承运货品的货品类型；步骤S120：基于所述货品类型获取所委托过的每个物流公司承运所述货品类型的货品的承运信息，所述承运信息包括物流公司承运所述货品类型的货品时每公里的平均承运时长、对物流公司承运所述货品类型的货品的平均服务评分以及物流公司承运所述货品类型的货品的货损率；步骤S130：基于每个物流公司承运所述货品类型的货品的承运信息确定每个物流公司的评估分数；步骤S140：基于所述评估分数确定承运所述待承运货品的目标物流公司。
存储单元420可以包括易失性存储单元形式的可读介质，例如随机存取存储单元(RAM)4201和/或高速缓存存储单元4202，还可以进一步包括只读存储单元(ROM)4203。
存储单元420还可以包括具有一组(至少一个)程序模块4205的程序/实用工具4204，这样的程序模块4205包括但不限于：操作系统、一个或者多个应用程序、其它程序模块以及程序数据，这些示例中的每一个或某种组合中可能包括网络环境的实现。
总线430可以为表示几类总线结构中的一种或多种，包括存储单元总线或者存储单元控制器、外围总线、图形加速端口、处理单元或者使用多种总线结构中的任意总线结构的局域总线。
计算机设备400也可以与一个或多个外部设备600(例如键盘、指向设备、蓝牙设备等)通信，还可与一个或者多个使得用户能与该计算机设备400交互的设备通信，和/或与使得该计算机设备400能与一个或多个其它计算设备进行通信的任何设备(例如路由器、调制解调器等等)通信。这种通信可以通过输入/输出(I/O)接口440进行。并且，计算机设备400还可以通过网络适配器460与一个或者多个网络(例如局域网(LAN)，广域网(WAN)和/或公共网络，例如因特网)通信。如图所示，网络适配器460通过总线430与计算机设备400的其它模块通信。应当明白，尽管图中未示出，可以结合计算机设备400使用其它硬件和/或软件模块，包括但不限于：微代码、设备驱动器、 冗余处理单元、外部磁盘驱动阵列、RAID系统、磁带驱动器以及数据备份存储系统等。
通过以上的实施方式的描述，本领域的技术人员易于理解，这里描述的示例实施方式可以通过软件实现，也可以通过软件结合必要的硬件的方式来实现。因此，根据本公开实施方式的技术方案可以以软件产品的形式体现出来，该软件产品可以存储在一个非易失性存储介质(可以是CD-ROM，U盘，移动硬盘等)中或网络上，包括若干指令以使得一台计算设备(可以是个人计算机、服务器、终端装置、或者网络设备等)执行根据本公开实施方式的方法。
在本公开的示例性实施例中，还提供了一种计算机可读存储介质，其上存储有能够实现本说明书上述方法的程序产品。在一些可能的实施方式中，本申请的各个方面还可以实现为一种程序产品的形式，其包括程序代码，当所述程序产品在终端设备上运行时，所述程序代码用于使所述终端设备执行本说明书上述“示例性方法”部分中描述的根据本申请各种示例性实施方式的步骤。
参考图5所示，描述了根据本申请的实施方式的用于实现上述方法的程序产品500，其可以采用便携式紧凑盘只读存储器(CD-ROM)并包括程序代码，并可以在计算机设备，例如个人电脑上运行。然而，本申请的程序产品不限于此，在本文件中，可读存储介质可以是任何包含或存储程序的有形介质，该程序可以被指令执行系统、装置或者器件使用或者与其结合使用。
所述程序产品可以采用一个或多个可读介质的任意组合。可读介质可以是可读信号介质或者可读存储介质。可读存储介质例如可以为但不限于电、磁、光、电磁、红外线、或半导体的系统、装置或器件，或者任意以上的组合。可读存储介质的更具体的例子(非穷举的列表)包括：具有一个或多个导线的电连接、便携式盘、硬盘、随机存取存储器(RAM)、只读存储器(ROM)、可擦式可编程只读存储器(EPROM或闪存)、光纤、便携式紧凑盘只读存储器(CD-ROM)、光存储器件、磁存储器件、或者上述的任意合适的组合。
计算机可读信号介质可以包括在基带中或者作为载波一部分传播的数据信号，其中承载了可读程序代码。这种传播的数据信号可以采用多种形式，包括但不限于电磁信号、光信号或上述的任意合适的组合。可读信号介质还可以是可读存储介质以外的任何可读介质，该可读介质可以发送、传播或者传输用于由指令执行系统、装置或者器件使用或者与其结合使用的程序。
可读介质上包含的程序代码可以用任何适当的介质传输，包括但不限于无线、有线、光缆、RF等等，或者上述的任意合适的组合。
可以以一种或多种程序设计语言的任意组合来编写用于执行本申请操作的程序代码，所述程序设计语言包括面向对象的程序设计语言—诸如Java、 C++等，还包括常规的过程式程序设计语言—诸如“C”语言或类似的程序设计语言。程序代码可以完全地在用户计算设备上执行、部分地在用户设备上执行、作为一个独立的软件包执行、部分在用户计算设备上部分在远程计算设备上执行、或者完全在远程计算设备或服务器上执行。在涉及远程计算设备的情形中，远程计算设备可以通过任意种类的网络，包括局域网(LAN)或广域网(WAN)，连接到用户计算设备，或者，可以连接到外部计算设备(例如利用因特网服务提供商来通过因特网连接)。
此外，上述附图仅是根据本申请示例性实施例的方法所包括的处理的示意性说明，而不是限制目的。易于理解，上述附图所示的处理并不表明或限制这些处理的时间顺序。这些处理可以是例如在多个模块中同步或异步执行的。
本申请旨在涵盖本公开的任何变型、用途或者适应性变化，这些变型、用途或者适应性变化遵循本公开的一般性原理并包括本公开未公开的本技术领域中的公知常识或惯用技术手段。

Claims (20)

  1. 一种分配物流货品的数据处理方法，其特征在于，应用于区块链网络中的区块链节点，所述方法包括：
    响应于分配待承运货品的分配请求，获取所述分配请求中待承运货品的货品类型；
    对所述分配请求进行校验；
    如果校验成功，基于所述货品类型从所述区块链网络的第一区块中获取所委托过的每个物流公司承运所述货品类型的货品的承运信息，所述第一区块中存储有多个物流公司分别承运各货品类型的货品的承运信息，所述承运信息包括物流公司承运所述货品类型的货品时每公里的平均承运时长、对物流公司承运所述货品类型的货品的平均服务评分以及物流公司承运所述货品类型的货品的货损率；
    基于每个物流公司承运所述货品类型的货品的承运信息确定每个物流公司的评估分数，并根据所述货品类型和所述每个物流公司的评估分数进行上链处理，以得到包括所述货品类型和所述每个物流公司的评估分数的第二区块；
    基于所述评估分数确定承运所述待承运货品的目标物流公司。
  2. 根据权利要求1所述的方法，其特征在于，所述基于所述评估分数确定承运所述待承运货品的目标物流公司的步骤，包括：
    将所述评估分数最高的物流公司确定为承运所述待承运货品的目标物流公司。
  3. 根据权利要求1所述的方法，其特征在于，所述基于每个物流公司承运所述货品类型的货品的承运信息确定每个物流公司的评估分数的步骤，包括：
    基于所述承运信息中物流公司承运所述货品类型的货品时每公里的平均承运时长、物流公司承运所述货品类型的货品时每公里的平均承运时长和第一分数之间的关系表，确定得到第一分数；
    基于所述承运信息中对物流公司承运所述货品类型的货品的平均服务评分、对物流公司承运所述货品类型的货品的平均服务评分和第二分数之间的关系表，确定得到第二分数；
    基于所述承运信息中物流公司承运所述货品类型的货品的货损率、物流公司承运所述货品类型的货品的货损率和第三分数之间的关系表，确定得到第三分数；
    基于所述第一分数、所述第二分数以及所述第三分数确定得到每个物流公司的评估分数。
  4. 根据权利要求3所述的方法，其特征在于，所述基于所述第一分数、 所述第二分数以及所述第三分数确定得到每个物流公司的评估分数的步骤，包括：
    基于所述第一分数、所述第二分数以及所述第三分数加权和，确定得到每个物流公司的评估分数。
  5. 根据权利要求4所述的方法，其特征在于，所述承运信息基于以下方法生成：
    获取所委托过的每个物流公司历史上承运所述货品类型的货品的所有历史承运记录，其中，所述历史承运记录包括物流公司每次承运所述货品类型的货品的承运时长、物流公司每次承运所述货品类型的货品的路程、对物流公司每次承运所述货品类型的货品时的服务评分以及物流公司每次承运所述货品类型的货品时的损坏信息；
    基于所述物流公司每次承运所述货品类型的货品的承运时长和物流公司每次承运所述货品类型的货品的路程确定所述物流公司承运所述货品类型的货品时每公里的平均承运时长；
    基于所述对物流公司每次承运所述货品类型的货品时的服务评分确定对所述物流公司承运所述货品类型的货品的平均服务评分；
    基于所述物流公司每次承运所述货品类型的货品时的损坏信息确定所述物流公司承运所述货品类型的货品的货损率。
  6. 根据权利要求1-5任一项所述的方法，其特征在于，所述第一区块中还存储有所述多个物流公司分别承运各货品类型的货品在各条运输路线上的运输信息；所述方法还包括：
    获取所述待承运货品的发货地信息和目的地信息，并根据所述发货地信息和所述目的地信息确定所述待承运货品的运输路线；
    基于所述运输路线从所述第一区块中获取所委托过的每个物流公司在所述运输路线的运输信息，所述运输信息包括以下任一项或多项：运输次数、运输成功次数、运输失败次数、事故发生率；
    所述基于所述评估分数确定承运所述待承运货品的目标物流公司，包括：
    基于所述评估分数和所述运输信息确定承运所述待承运货品的目标物流公司。
  7. 根据权利要求6所述的方法，其特征在于，所述运输信息包括运输次数和事故发生率；所述基于所述评估分数和所述运输信息确定承运所述待承运货品的目标物流公司，包括：
    基于所述评估分数，确定出评估分数高于预设分数的多个物流公司；
    将所述多个物流公司中运输次数大于第一阈值，且事故发生率小于第二阈 值的物流公司确定为承运所述待承运货品的目标物流公司。
  8. 一种分配物流货品的数据处理装置，其特征在于，设置于区块链网络中的区块链节点，所述装置包括：
    第一获取单元，用于响应于分配待承运货品的分配请求，获取所述分配请求中待承运货品的货品类型；
    第二获取单元，用于对所述分配请求进行校验；
    所述第二获取单元，还用于在校验成功时，基于所述货品类型从所述区块链网络的第一区块中获取所委托过的每个物流公司承运所述货品类型的货品的承运信息，所述第一区块中存储有多个物流公司分别承运各货品类型的货品的承运信息，所述承运信息包括物流公司承运所述货品类型的货品时每公里的平均承运时长、对物流公司承运所述货品类型的货品的平均服务评分以及物流公司承运所述货品类型的货品的货损率；
    第一执行单元，用于基于每个物流公司承运所述货品类型的货品的承运信息确定每个物流公司的评估分数，并根据所述货品类型和所述每个物流公司的评估分数进行上链处理，以得到包括所述货品类型和所述每个物流公司的评估分数的第二区块；
    第二执行单元，用于基于所述评估分数确定承运所述待承运货品的目标物流公司。
  9. 根据权利要求8所述的装置，其特征在于，所述第二执行单元具体用于将所述评估分数最高的物流公司确定为承运所述待承运货品的目标物流公司。
  10. 根据权利要求8所述的装置，其特征在于，所述第一执行单元，包括：
    获取子单元，用于基于所述承运信息中物流公司承运所述货品类型的货品时每公里的平均承运时长、物流公司承运所述货品类型的货品时每公里的平均承运时长和第一分数之间的关系表，确定得到第一分数；
    第一执行子单元，用于基于所述承运信息中对物流公司承运所述货品类型的货品的平均服务评分、对物流公司承运所述货品类型的货品的平均服务评分和第二分数之间的关系表，确定得到第二分数；
    第二执行子单元，用于基于所述承运信息中物流公司承运所述货品类型的货品的货损率、物流公司承运所述货品类型的货品的货损率和第三分数之间的关系表，确定得到第三分数；
    第三执行子单元，用于基于所述第一分数、所述第二分数以及所述第三分数确定得到每个物流公司的评估分数。
  11. 根据权利要求10所述的装置，其特征在于，所述第三执行子单元具 体用于基于所述第一分数、所述第二分数以及所述第三分数加权和，确定得到每个物流公司的评估分数。
  12. 根据权利要求11所述的装置，其特征在于，所述承运信息基于以下方法生成：
    获取所委托过的每个物流公司历史上承运所述货品类型的货品的所有历史承运记录，其中，所述历史承运记录包括物流公司每次承运所述货品类型的货品的承运时长、物流公司每次承运所述货品类型的货品的路程、对物流公司每次承运所述货品类型的货品时的服务评分以及物流公司每次承运所述货品类型的货品时的损坏信息；
    基于所述物流公司每次承运所述货品类型的货品的承运时长和物流公司每次承运所述货品类型的货品的路程确定所述物流公司承运所述货品类型的货品时每公里的平均承运时长；
    基于所述对物流公司每次承运所述货品类型的货品时的服务评分确定对所述物流公司承运所述货品类型的货品的平均服务评分；
    基于所述物流公司每次承运所述货品类型的货品时的损坏信息确定所述物流公司承运所述货品类型的货品的货损率。
  13. 根据权利要求8-12任一项所述的装置，其特征在于，所述第一区块中还存储有所述多个物流公司分别承运各货品类型的货品在各条运输路线上的运输信息；
    所述第一获取单元，还用于获取所述待承运货品的发货地信息和目的地信息，并根据所述发货地信息和所述目的地信息确定所述待承运货品的运输路线；
    所述第二获取单元，还用于基于所述运输路线从所述第一区块中获取所委托过的每个物流公司在所述运输路线的运输信息，所述运输信息包括以下任一项或多项：运输次数、运输成功次数、运输失败次数、事故发生率；
    所述第二执行单元具体用于基于所述评估分数和所述运输信息确定承运所述待承运货品的目标物流公司。
  14. 根据权利要求13所述的装置，其特征在于，所述运输信息包括运输次数和事故发生率；所述第二执行单元具体用于：
    基于所述评估分数，确定出评估分数高于预设分数的多个物流公司；
    将所述多个物流公司中运输次数大于第一阈值，且事故发生率小于第二阈值的物流公司确定为承运所述待承运货品的目标物流公司。
  15. 一种计算机设备，其特征在于，部署于区块链网络，包括存储器和处理器，所述存储器中存储有计算机可读指令，所述计算机可读指令被所述处理器执行时，使得所述处理器执行以下步骤：
    响应于分配待承运货品的分配请求，获取所述分配请求中待承运货品的货品类型；
    对所述分配请求进行校验；
    如果校验成功，基于所述货品类型从所述区块链网络的第一区块中获取所委托过的每个物流公司承运所述货品类型的货品的承运信息，所述第一区块中存储有多个物流公司分别承运各货品类型的货品的承运信息，所述承运信息包括物流公司承运所述货品类型的货品时每公里的平均承运时长、对物流公司承运所述货品类型的货品的平均服务评分以及物流公司承运所述货品类型的货品的货损率；
    基于每个物流公司承运所述货品类型的货品的承运信息确定每个物流公司的评估分数，并根据所述货品类型和所述每个物流公司的评估分数进行上链处理，以得到包括所述货品类型和所述每个物流公司的评估分数的第二区块；
    基于所述评估分数确定承运所述待承运货品的目标物流公司。
  16. 根据权利要求15所述的计算机设备，其特征在于，所述处理器在执行所述基于每个物流公司承运所述货品类型的货品的承运信息确定每个物流公司的评估分数时，具体用于：
    基于所述承运信息中物流公司承运所述货品类型的货品时每公里的平均承运时长、物流公司承运所述货品类型的货品时每公里的平均承运时长和第一分数之间的关系表，确定得到第一分数；
    基于所述承运信息中对物流公司承运所述货品类型的货品的平均服务评分、对物流公司承运所述货品类型的货品的平均服务评分和第二分数之间的关系表，确定得到第二分数；
    基于所述承运信息中物流公司承运所述货品类型的货品的货损率、物流公司承运所述货品类型的货品的货损率和第三分数之间的关系表，确定得到第三分数；
    基于所述第一分数、所述第二分数以及所述第三分数确定得到每个物流公司的评估分数。
  17. 根据权利要求16所述的计算机设备，其特征在于，所述处理器在执行所述基于所述第一分数、所述第二分数以及所述第三分数确定得到每个物流公司的评估分数的步骤时，具体用于：
    基于所述第一分数、所述第二分数以及所述第三分数加权和，确定得到每个物流公司的评估分数。
  18. 根据权利要求17所述的计算机设备，其特征在于，所述承运信息基于以下方法生成：
    获取所委托过的每个物流公司历史上承运所述货品类型的货品的所有历史承运记录，其中，所述历史承运记录包括物流公司每次承运所述货品类型的货品的承运时长、物流公司每次承运所述货品类型的货品的路程、对物流公司每次承运所述货品类型的货品时的服务评分以及物流公司每次承运所述货品类型的货品时的损坏信息；
    基于所述物流公司每次承运所述货品类型的货品的承运时长和物流公司每次承运所述货品类型的货品的路程确定所述物流公司承运所述货品类型的货品时每公里的平均承运时长；
    基于所述对物流公司每次承运所述货品类型的货品时的服务评分确定对所述物流公司承运所述货品类型的货品的平均服务评分；
    基于所述物流公司每次承运所述货品类型的货品时的损坏信息确定所述物流公司承运所述货品类型的货品的货损率。
  19. 根据权利要求15-18任一项所述的计算机设备，其特征在于，所述第一区块中还存储有所述多个物流公司分别承运各货品类型的货品在各条运输路线上的运输信息；所述处理器还执行以下步骤：
    获取所述待承运货品的发货地信息和目的地信息，并根据所述发货地信息和所述目的地信息确定所述待承运货品的运输路线；
    基于所述运输路线从所述第一区块中获取所委托过的每个物流公司在所述运输路线的运输信息，所述运输信息包括以下任一项或多项：运输次数、运输成功次数、运输失败次数、事故发生率；
    所述处理器在执行所述基于所述评估分数确定承运所述待承运货品的目标物流公司时，具体用于：
    基于所述评估分数和所述运输信息确定承运所述待承运货品的目标物流公司。
  20. 一种存储有计算机可读指令的存储介质，所述计算机可读指令被一个或多个处理器执行时，使得一个或多个处理器执行如权利要求1至7中任一项所述的方法。
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