Bulk commodity transportation cost settlement method and system based on cloud platform
By developing a commodity transportation fee settlement system on a cloud platform, using the Markov decision-making process and the Bellman equation to optimize transportation modes and settlement methods, the problem of lack of fairness and efficiency of transportation fee settlement in the existing technology is solved, and a fairer and more efficient transportation fee settlement is achieved.
Patent Information
- Application Number
- CN202510245459.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-04
- Publication Date
- 2025-06-20
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing commodity transportation fee settlement methods lack fairness and justice, resulting in logistics participants often need to negotiate multiple times during the settlement process, and lack effective cost control and resource optimization.
The settlement method and system of commodity transportation costs based on the cloud platform is adopted, and the material information on the logistics trade platform is collected, the enumeration method and Markov decision-making process is used to select the optimal transportation method and settlement method, calculate the detailed data of transportation costs, and optimize the settlement strategy through the Bellman equation.
It has achieved fairness and efficiency in the settlement of commodity transportation costs, reduced logistics costs, optimized resource allocation, and promoted the healthy development of the commodity market.
Smart Images
Figure CN120181716A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of bulk commodity transportation, and particularly to a settlement method and system for bulk commodity transportation fees based on a cloud platform. Background Art
[0002] Bulk commodity logistics is a key link in the pillar industries of the national economy. The objects of bulk commodity logistics transportation are mostly homogeneous tradable goods used as industrial basic raw materials, such as crude oil, steel, coal, metal products, agricultural products, wood, etc. The management level and work efficiency in the bulk commodity logistics process have a great impact on the manufacturing industry and the national economy. Due to problems such as geographical restrictions and information asymmetry in the traditional bulk commodity trading mode, in order to provide a more convenient and efficient trading environment for market participants, the bulk trade platform mode has emerged. By connecting various participants such as producers, suppliers, purchasers, and logistics service providers of bulk commodities through an Internet platform, a comprehensive trading service platform integrating functions such as information release, transaction matching, logistics distribution, and financial services can be formed. Using advanced scientific and technological means such as big data, cloud computing, and the Internet of Things, the traditional offline bulk commodity trading process is migrated online to achieve the electronic, transparent, and efficient of the trading process. This mode can reduce trading costs, improve trading efficiency, optimize resource allocation, and promote the healthy development of the bulk commodity market.
[0003] For the settlement of bulk commodity logistics fees, it refers to a way of determining and paying various fees during the logistics transportation process. Different transportation methods and various factors will affect the settlement method of transportation fees. Currently, the commonly used logistics transportation methods and settlement methods are as follows:
[0004] I. Road Freight Settlement Method
[0005] 1) One-time settlement method: That is, after the end of the goods transportation, all fees are settled at one time, including loading and unloading fees, insurance fees, toll fees, etc. This method is applicable to the situation where the transportation distance is short and the transportation time is short, and it can reduce the settlement frequency and procedures.
[0006] 2) Stage settlement method, that is, according to the transportation mileage and transportation time of the goods, the transportation fees are settled in stages. At the end of different transportation stages, the corresponding fees are settled, for example, settled according to the travel mileage.
[0007] 3) Weight-based settlement method: That is, the transportation fees are calculated according to the weight of the goods, and the settlement can be carried out according to the vehicle carrying capacity and the weight of the loaded goods. This method is applicable to the situation where the goods are relatively heavy, and the fee calculation is relatively simple.
[0008] 4) Volume-based settlement method: That is, the transportation cost is calculated based on the volume of the goods, and the settlement can be made according to the vehicle volume and the volume of the goods. This method is applicable to the situation where the goods are relatively light but have a large volume.
[0009] II. Railway transportation cost settlement methods
[0010] 1) Section-based settlement method: That is, the cost is settled according to the length of the railway freight transportation section. The farther the transportation distance, the higher the cost. This method is applicable to the situation of long-distance railway freight, and the cost calculation is relatively simple.
[0011] 2) Tonnage-based settlement method: That is, the transportation cost is calculated based on the tonnage of the goods, and the settlement can be made according to the actual tonnage of the goods. This method is applicable to bulk goods transported by railway, such as coal, ore, etc.
[0012] 3) Time-based settlement method: That is, the cost is calculated according to the time spent by the goods in railway transportation. The longer the transportation time, the higher the cost. This method is applicable to the transportation of goods with high time requirements and can encourage the railway transportation to speed up the transportation speed.
[0013] III. Waterway transportation cost settlement methods
[0014] 1) Voyage-based settlement method: That is, the transportation cost is calculated according to the transportation voyage of the goods and the tonnage of the ship. The longer the voyage, the higher the cost. This method is applicable to ocean freight transportation, and the cost calculation is relatively simple.
[0015] 2) Tonnage-based settlement method: That is, the transportation cost is calculated based on the tonnage of the goods, and the settlement can be made according to the actual tonnage of the goods. This method is applicable to the waterway transportation of bulk goods.
[0016] 3) Time-based settlement method: That is, the cost is calculated according to the time spent by the goods in waterway transportation. The longer the transportation time, the higher the cost. This method is applicable to the transportation of goods with high time requirements.
[0017] IV. Air transportation cost settlement methods
[0018] 1) Voyage-based settlement method: That is, the transportation cost is calculated according to the transportation voyage of the goods and the load capacity of the aircraft. The longer the voyage, the higher the cost. This method is applicable to long-distance air freight transportation.
[0019] 2) Weight-based settlement method: That is, the transportation cost is calculated based on the weight of the goods, and the settlement can be made according to the actual weight of the goods. This method is applicable to the situation where the goods are relatively heavy.
[0020] 3) Volume settlement method: That is, the transportation cost is calculated based on the volume of the goods, and the settlement can be made according to the actual volume of the goods. This method is applicable to the situation where the goods are relatively light but have a large volume.
[0021] In the actual process, it is necessary to select an appropriate transportation cost settlement method according to different transportation methods and means of transportation, which is of great significance for accurately calculating and paying various costs. At the same time, various settlement methods should also be flexibly applied according to specific circumstances to achieve the goal of reasonable cost control and reduction of logistics costs. The selection of the transportation cost settlement method should comprehensively consider factors such as transportation distance, nature of goods, and transportation requirements, and reach an agreement with the transportation service provider to ensure the interests of both parties are protected. However, in reality, although the bulk trade platform model can improve the drawbacks of the traditional trading model, in terms of the settlement of transportation costs, since logistics participants all hope to make a settlement strategy that is biased towards their own interests in the transportation cost settlement method, multiple negotiations are often required. Eventually, the negotiation process often ends with the compromise of one party, lacking a relatively fair and just transportation cost settlement method, which is not conducive to the development of the bulk commodity market. Therefore, we propose a settlement method and system for the transportation costs of bulk commodities based on the cloud platform. Summary of the Invention
[0022] The main purpose of the present invention is to provide a settlement method and system for the transportation costs of bulk commodities based on the cloud platform, which can effectively solve the problems in the background technology.
[0023] To achieve the above object, the technical solution adopted by the present invention is as follows.
[0024] A settlement method for the transportation costs of bulk commodities based on the cloud platform, including:
[0025] Collect the basic information, self-attribute information of the commodity materials on the logistics trade platform at each node during the logistics process, and the geographical information of the commodity materials during the logistics process. Extract the production data that affects the transportation cost settlement from the obtained information during the process from logistics node i to logistics node i + 1, where i = 1, 2,..., n; i + 1 ≤ n; n is the number of logistics nodes.
[0026] According to the obtained production data, use the enumeration method to list all the transportation methods of the commodity materials during the transfer between adjacent logistics nodes and all the settlement methods corresponding to any one of the transportation methods in the complete logistics process from logistics node i = 1 to logistics node i = n. The production data includes at least one of transportation distance, quantity of goods, nature of goods, transportation requirements, and transportation environment.
[0027] The Markov decision process is used as the decision-making for the selection of the settlement method in the complete logistics process. Define the set of all settlement methods for the complete logistics process from logistics node i = 1 to logistics node i = n as S. When transferring between adjacent logistics nodes, the decision-making action for the settlement method is a. When making the decision-making action a for the t-th time t the settlement method state of the logistics process is s t , for the state s t , execute the decision-making action a t and then obtain the new state s of the settlement method of the logistics process t+1 with a probability of P(s t+1 |s t ,a t ), where t = 1, 2,..., n - 1;
[0028] Define the reward function R(s t ,a t ,a t ) for executing the decision-making action a t . Calculate the expected return obtained after executing the decision-making action a t under the state s t according to the Bellman equation, and take the execution action a t corresponding to the maximum expected return as the decision-making action for the settlement method under the state s
[0029]
[0030] In the formula, Q(s t ,a t ) represents the expected return obtained after executing the action a t under the state s t ; γ is the discount factor, and γ ∈ (0, 1); π(a t+1 |s t+1 ) represents the probability of executing the action a t+1 under the state s t+1 ; for the state s t , when transferring between adjacent logistics nodes, the probability of selecting to execute any decision-making action a t is equal;
[0031] The definition principle of the reward function R(s t ,a t ,a t ) includes the principle of minimizing logistics costs, the principle of minimizing transportation time, and the principle of maximizing benefits;
[0032] When the reward function R(s t ,a t) The definition principle is based on the principle of minimizing logistics costs:
[0033]
[0034] Wherein, It is expressed as taking The minimum value; C i-(i+1) Represents the logistics cost during the process from logistics node i to logistics node i + 1.
[0035] When the definition principle of the reward function R(s t , a t ) is based on the principle of minimizing transportation time:
[0036]
[0037] Wherein, It is expressed as taking The minimum value; T i-(i+1) Represents the transportation time during the process from logistics node i to logistics node i + 1.
[0038] When the definition principle of the reward function R(s t , a t ) is based on the principle of optimal benefit:
[0039]
[0040] Wherein, α and β are constant coefficients, and α + β = 1, 0 < α < 1; 0 < β < 1;
[0041] Calculate the detailed transportation cost data of the complete logistics process from logistics node i = 1 to logistics node i = n according to the obtained decision actions, and provide the calculated detailed transportation cost data to each settlement unit. After all the settlement units have checked, load it into the settlement system of the logistics trading platform.
[0042] A settlement system for the transportation cost of bulk commodities based on a cloud platform, including a logistics information collection module, a settlement method acquisition module, a settlement method decision module, and a cost detail generation module;
[0043] The logistics information collection module is used to collect the basic information, its own attribute information, and the geographical information of the commodity materials on the logistics trading platform at each node during the logistics process, and extract the production data that affects the transportation cost settlement during the process from logistics node i to logistics node i + 1 from the obtained information, where i = 1, 2,..., n; i + 1 ≤ n; n is the number of logistics nodes;
[0044] The settlement method acquisition module is used to list all transportation methods of commodity materials during the transfer between adjacent logistics nodes and all settlement methods corresponding to any of the transportation methods in the complete logistics process from logistics node i = 1 to logistics node i = n by using the enumeration method according to the obtained production data, where the production data includes at least one of transportation distance, quantity of goods, nature of goods, transportation demand, and transportation environment;
[0045] The settlement method decision module is used to use the Markov decision process as the selection decision of the settlement method in the complete logistics process to obtain the settlement method of the complete logistics process from logistics node i = 1 to logistics node i = n;
[0046] The expense details generation module is used to calculate the transportation expense details data of the complete logistics process from logistics node i = 1 to logistics node i = n according to the obtained decision actions, and provide the calculated transportation expense details data to each settlement unit, and after all the settlement units check, load it into the settlement system of the logistics trade platform.
[0047] The system includes a memory, a processor, and a computer program stored on the memory and executable on the processor.
[0048] The present invention has the following beneficial effects:
[0049] Compared with the prior art, by collecting the basic information, self-attribute information of commodity materials at each node during the logistics process on the logistics trade platform and the geographical information of the commodity materials during the logistics process, extracting the production data affecting the transportation expense settlement in the process from logistics node i to logistics node i + 1 from the obtained information, listing all transportation methods of commodity materials during the transfer between adjacent logistics nodes and all settlement methods corresponding to any of the transportation methods in the complete logistics process from logistics node i = 1 to logistics node i = n by using the enumeration method, using the Markov decision process as the selection decision of the settlement method in the complete logistics process, defining the reward function R(s t , a t , a t ), calculating the expected return obtained after executing the decision action a t in the state s t according to the Bellman equation, and taking the execution action a t corresponding to the maximum value of the expected return as the execution action in the state s tThe decision-making actions of the following settlement methods calculate the detailed transportation cost data of the complete logistics process from logistics node i = 1 to logistics node i = n based on the obtained decision-making actions, and provide the calculated detailed transportation cost data to each settlement unit. After all the settlement units have checked it, it is loaded into the settlement system of the logistics trading platform. Based on the logistics trading platform, the Markov decision process is used to select and make decisions on the logistics transportation methods and settlement methods of bulk commodity materials, and provide multiple principles for transportation cost settlement strategies, which can improve the drawbacks existing in the settlement of transportation costs in the traditional trading mode, provide a relatively fair and just transportation cost settlement method for logistics participants, and is conducive to promoting the development of the bulk commodity market. Brief Description of the Drawings
[0050] Figure 1 It is a flowchart of the settlement method for the transportation cost of bulk commodities based on the cloud platform of the present invention;
[0051] Figure 2 It is a structural block diagram of the settlement system for the transportation cost of bulk commodities based on the cloud platform of the present invention;
[0052] Figure 3 It is a schematic diagram of the enumeration process of the settlement methods for adjacent logistics nodes. Detailed Embodiment
[0053] The following further describes the present invention in conjunction with the detailed embodiments. Among them, the drawings are only for illustrative purposes, showing only schematic diagrams, not physical diagrams, and cannot be understood as a limitation to the present invention. In order to better illustrate the detailed embodiments of the present invention, some components in the drawings will be omitted, enlarged or reduced, and do not represent the size of the actual product.
[0054] The specific implementation process of the technical solution of the present invention includes the following steps:
[0055] Step 1: Collect the basic information, self-attribute information of the commodity materials at each node during the logistics process on the logistics trading platform, and the geographical information of the commodity materials during the logistics process. Extract the production data that affects the transportation cost settlement during the process from logistics node i to logistics node i + 1 from the obtained information, where i = 1, 2,..., n; i + 1 ≤ n; n is the number of logistics nodes;
[0056] Among them, the production data includes at least one of transportation distance, quantity of goods, nature of goods, transportation demand, and transportation environment.
[0057] Step 2: According to the obtained production data, use the enumeration method to list all the transportation methods of the commodity materials during the transfer of adjacent logistics nodes and all the settlement methods corresponding to any transportation method in the complete logistics process from logistics node i = 1 to logistics node i = n;
[0058] Generally, for the settlement of logistics costs of bulk commodities, the common logistics transportation methods and settlement methods are as follows: The settlement method for land transportation costs includes: lump-sum settlement method, phased settlement method, weight-based settlement method, and volume-based settlement method. The settlement method for railway transportation costs includes: settlement method by transportation section; settlement method by tonnage; settlement method by transportation time. The settlement method for waterway transportation costs includes: settlement method by voyage; settlement method by tonnage; settlement method by transportation time. The settlement method for air transportation costs includes: settlement method by voyage; settlement method by weight; settlement method by volume. Specifically, the available transportation methods and settlement methods can be screened according to the obtained production data to obtain the enumeration process schematic diagram of the settlement method of adjacent logistics nodes as shown in Figure 3 the figure.
[0059] Step 3: Use the Markov decision process as the decision-making for the settlement method in the complete logistics process to obtain the settlement method for the complete logistics process from logistics node i = 1 to logistics node i = n; the specific process is as follows:
[0060] Step 31: Define the set of all settlement methods for the complete logistics process from logistics node i = 1 to logistics node i = n as S, the decision-making action for the settlement method during the transfer of adjacent logistics nodes is a, and the settlement method state of the logistics process after the t-th decision-making action a t is s t , for the state s t , after executing the decision-making action a t , the probability of obtaining the new state s t+1 of the logistics process settlement method is P(s t+1 |s t ,a t ), where t = 1, 2,..., n - 1;
[0061] Step 32: Define the reward function R(s t ,a t ) for executing the decision-making action a t ), calculate the expected return obtained after executing the decision-making action a t in the state s t according to the Bellman equation, and take the execution action a t corresponding to the maximum expected return as the decision-making action for the settlement method in the state s t . The definition of the Bellman equation for the expected return is as follows:
[0062]
[0063] In the formula, Q(s t ,a t ) represents the execution of the action a t in the state s tThe expected return obtained later; γ is the discount factor, and γ ∈ (0, 1); π(a t+1 |s t+1 ) represents the probability of performing action a t+1 in state s t+1 ; for state s t , when transferring at adjacent logistics nodes, the probability of choosing to perform any settlement method decision action a t is equal;
[0064] Step 33: Execute the decision action a t The definition principles of the reward function R(s t , a t ) include the principle of minimizing logistics costs, the principle of minimizing transportation time, and the principle of maximizing benefits;
[0065] Among them, when the definition principle of the reward function R(s t , a t ) is the principle of minimizing logistics costs:
[0066]
[0067] In the formula, represents taking the minimum value; C i-(i+1) represents the logistics cost from logistics node i to logistics node i + 1.
[0068] When the definition principle of the reward function R(s t , a t ) is the principle of minimizing transportation time:
[0069]
[0070] In the formula, represents taking the minimum value; T i-(i+1) represents the transportation time from logistics node i to logistics node i + 1.
[0071] When the definition principle of the reward function R(s t , a t ) is the principle of maximizing benefits:
[0072]
[0073] In the formula, α and β are constant coefficients, and α + β = 1, 0 < α < 1; 0 < β < 1.
[0074] Step 4: Calculate the detailed transportation cost data of the complete logistics process from logistics node i = 1 to logistics node i = n based on the obtained decision-making actions, and provide the calculated detailed transportation cost data to each settlement unit. After all settlement units have verified it, load it into the settlement system of the logistics trading platform.
[0075] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification only illustrates the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.
Claims
1. A method for settling bulk commodity transportation costs based on a cloud platform, characterized in that: include: Collect basic information, attribute information and geographic information of commodity materials at each node in the logistics process on the logistics trading platform, and extract production data that affects the settlement of transportation costs from logistics node i to logistics node i+1 from the acquired information, where i=1,2,...,n; i+1≤n; n is the number of logistics nodes; According to the obtained production data, enumerate all the transportation modes of commodity materials and all the settlement modes corresponding to any of the transportation modes during the complete logistics process from logistics node i=1 to logistics node i=n when the commodity materials circulate between adjacent logistics nodes; The Markov decision process is used as the selection decision of the settlement method in the complete logistics process. The set of all settlement methods in the complete logistics process from logistics node i=1 to logistics node i=n is defined as S. The settlement method decision action when the adjacent logistics nodes flow is a. The settlement method decision action a is performed at the tth time. t The status of the post-logistics process settlement method is s t , for state s t , execute decision action a t Then obtain the new status of the logistics process settlement method t+1 The probability of P(s t+1 |s t ,a t ), where t=1, 2, ..., n-1; Define execution decision action a t The reward function R(s t ,a t ), according to the Bellman equation, in state s t Next, execute decision action a t The expected return obtained after that is used to obtain the execution action a corresponding to the maximum expected return. t As in state t The decision action for the next settlement method; The transportation cost details data of the complete logistics process from logistics node i=1 to logistics node i=n are calculated according to the acquired decision actions, and the calculated transportation cost details data are provided to each settlement unit, and loaded into the settlement system of the logistics trade platform after verification by all the settlement units.
2. The method for settling bulk commodity transportation costs based on a cloud platform according to claim 1, characterized in that: The production data includes at least one of transportation distance, cargo quantity, cargo nature, transportation demand, and transportation environment.
3. The method for settling bulk commodity transportation costs based on a cloud platform according to claim 1, characterized in that: The Bellman equation defines the expected return as follows: In the formula, Q(s t ,a t ) is represented as in state s t Next, perform action a t The expected return after ; γ is the discount factor, and γ∈(0,1); π(a t+1 |s t+1 ) is represented as in state s t+1 Next, perform action a t+1 probability.
4. The method for settling bulk commodity transportation costs based on a cloud platform according to claim 1, characterized in that: For state s t , when the adjacent logistics nodes are transferred, choose to execute any settlement method decision action a t have equal probability.
5. The method for settling bulk commodity transportation costs based on a cloud platform according to claim 1, characterized in that: Execute decision action a t The reward function R(s t ,a t )’s definition principles include the principle of minimum logistics cost, the principle of minimum transportation time, and the principle of optimal benefits.
6. The method for settling bulk commodity transportation costs based on a cloud platform according to claim 5, characterized in that: When the reward function R(s t ,a t ) is defined based on the principle of minimum logistics cost: In the formula, Expressed as taking The minimum value of C i-(i+1) It is expressed as the logistics cost from logistics node i to logistics node i+1.
7. The method for settling bulk commodity transportation costs based on a cloud platform according to claim 5, characterized in that: When the reward function R(s t ,a t ) is defined based on the principle of minimum transportation time: In the formula, Expressed as taking The minimum value of T i-(i+1) It is expressed as the transportation time from logistics node i to logistics node i+1.
8. The method for settling bulk commodity transportation costs based on a cloud platform according to claim 5, characterized in that: When the reward function R(s t ,a t ) is defined as being based on the principle of best benefit: In the formula, α and β are constant coefficients, and α+β=1, 0<α<1; 0＜β＜1。 9. The settlement system for bulk commodity transportation costs based on the cloud platform is characterized by: It includes logistics information collection module, settlement method acquisition module, settlement method decision module, and cost details generation module; The logistics information collection module is used to collect basic information, self-attribute information and geographic information of commodity materials on the logistics trading platform at each node in the logistics process, and extract production data that affects the settlement of transportation costs from the logistics node i to the logistics node i+1 from the acquired information, where i=1,2,...,n; i+1≤n; n is the number of logistics nodes; The settlement method acquisition module is used to enumerate all transportation methods of commodity materials and all settlement methods corresponding to any of the transportation methods during the complete logistics process from logistics node i=1 to logistics node i=n when the commodity materials circulate between adjacent logistics nodes according to the acquired production data, wherein the production data includes at least one of transportation distance, quantity of goods, nature of goods, transportation demand, and transportation environment; The settlement method decision module is used to adopt the Markov decision process as the selection decision of the settlement method in the complete logistics process, and obtain the settlement method of the complete logistics process from logistics node i=1 to logistics node i=n; The cost detail generation module is used to calculate the transportation cost detail data of the complete logistics process from logistics node i=1 to logistics node i=n according to the acquired decision action, and provide the calculated transportation cost detail data to each settlement unit, and load it into the settlement system of the logistics trade platform after all the settlement units have checked it; The decision-making process of the settlement method decision module includes the following steps: Define the set of all settlement methods of the complete logistics process from logistics node i=1 to logistics node i=n as S, the settlement method decision action when the adjacent logistics nodes flow is a, and the settlement method decision action a is performed at the tth time t The status of the post-logistics process settlement method is s t , for state s t , execute decision action a t Then obtain the new status of the logistics process settlement method t+1 The probability of P(s t+1 |s t ,a t ), where t=1, 2, ..., n-1; Define execution decision action a t The reward function R(s t ,a t ), where the definition principles include the principle of minimum logistics cost, the principle of minimum transportation time, and the principle of optimal benefit; When the reward function R(s t ,a t ) is defined based on the principle of minimum logistics cost: In the formula, Expressed as taking The minimum value of C i-(i+1) It is expressed as the logistics cost from logistics node i to logistics node i+1; When the reward function R(s t ,a t ) is defined based on the principle of minimum transportation time: In the formula, Expressed as taking The minimum value of T i-(i+1) It is expressed as the transportation time from logistics node i to logistics node i+1; When the reward function R(s t ,a t ) is defined as being based on the principle of best benefit: In the formula, α and β are constant coefficients, and α+β=1, 0<α<1; 0<β<1; According to the Bellman equation, the t Next, execute decision action a t The expected return obtained after that is used to obtain the execution action a corresponding to the maximum expected return. t As in state t The decision action for the settlement method is as follows; the definition of the expected return for the Bellman equation is as follows: In the formula, Q(s t ,a t ) is represented as in state s t Next, perform action a t The expected return after ; γ is the discount factor, and γ∈(0,1); π(a t+1 |s t+1 ) is represented as in state s t+1 Next, perform action a t+1 The probability of t , when the adjacent logistics nodes are transferred, choose to execute any settlement method decision action a t have equal probability.
10. The cloud platform-based bulk commodity transportation fee settlement system according to claim 9, characterized in that: The system comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the steps of the method according to any one of claims 1 to 8 are implemented when the processor executes the program.