Oil and gas fuel supply chain scheduling management system based on big data

Abstract

The invention relates to the technical field of energy management, in particular to an oil and gas fuel supply chain scheduling management system based on big data. After a scheduling request of a target user is received, an individual scheduling qualification evaluation coefficient and a supply scheduling qualification evaluation coefficient of the target user are combined; analyzing the comprehensive scheduling qualification evaluation coefficient of the target user as a data basis for judging whether the scheduling request of the target user is approved, and then generating a first recommended supply storage bin set and a second recommended supply storage bin set of the scheduling request of the target user through the allowable scheduling amount and the transportation priority coefficient; according to the method, scheduling schemes under various scenes are formulated for target users, the defect that in the prior art, the possibility of collaborative optimization of resources among multiple storage bins is ignored is overcome, the overall supply chain efficiency of oil, gas and fuel is improved, the adaptive capacity of the supply chain in the face of complex and changeable conditions is improved, and therefore optimal resource allocation and utilization are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy management, and in particular to an oil and gas fuel supply chain scheduling and management system based on big data. Background Art

[0002] With the rapid development of the global energy market, the demand for oil and gas fuels continues to grow, while the complexity and uncertainty of the supply chain are also increasing. In order to improve the supply efficiency of oil and gas fuels, reduce supply costs, and ensure the stability of supply, it is particularly important to develop an oil and gas fuel supply chain scheduling and management system based on big data.

[0003] Existing technologies have circumvented the shortcomings of traditional scheduling methods, such as data latency and limitations, and have adopted advanced methods such as machine intelligence algorithms and artificial intelligence technologies to improve the accuracy and efficiency of oil and gas fuel supply chain scheduling management. Although they meet certain existing requirements, they still have limitations, which are specifically manifested in the following aspects: On the one hand, the existing technology does not conduct enough in-depth approval and review analysis of user scheduling applications, and only stays at the surface level, unable to deeply explore the inherent connections of the data. For example, the assessment of user personal scheduling qualifications tends to focus on identity verification, without carefully considering the user's payment integrity and the historical scheduling capabilities of the current oil and gas fuel scheduling type, resulting in some user requests that do not meet the requirements or are at risk being approved, thereby bringing difficulties or risks to subsequent scheduling execution.

[0004] On the other hand, existing technologies tend to adopt rigid scheduling strategies, which usually select an optimal supply storage warehouse for users, mainly considering the individual capacity and conditions of the storage warehouse, ignoring the possibility of resource collaborative optimization among multiple storage warehouses, and limiting the flexibility of supply qualification review of user scheduling requests. This not only leads to a decrease in the overall supply chain efficiency, but also limits the adaptability of the supply chain in the face of complex and changing situations, making it impossible to achieve optimal resource allocation and utilization. Summary of the invention

[0005] In order to overcome the shortcomings of the background technology, an embodiment of the present invention provides an oil and gas fuel supply chain scheduling and management system based on big data, which can effectively solve the problems involved in the above-mentioned background technology.

[0006] The purpose of the present invention can be achieved through the following technical solutions: A big data-based oil and gas fuel supply chain scheduling and management system, including: a scheduling request receiving module, used to receive the target user's scheduling request for the target area oil and gas fuel storage warehouse and related scheduling parameters.

[0007] The personal dispatch qualification evaluation module is used to obtain the basic information of the target user and analyze the personal dispatch qualification evaluation coefficient of the target user.

[0008] The supply scheduling qualification evaluation module is used to screen the schedulable storage bins in the target area based on the relevant scheduling parameters of the target user and analyze the allowed scheduling volume for the target user, and analyze the supply scheduling qualification evaluation coefficient of the target user.

[0009] The scheduling request approval determination module is used to determine whether to approve the scheduling request of the target user based on the personal scheduling qualification coefficient and the supply scheduling qualification coefficient of the target user. If it is determined to be approved, the first recommended supply storage warehouse set acquisition module is executed. Otherwise, the scheduling request of the target user is rejected.

[0010] The first recommended supply storage bin set acquisition module is used to arrange the schedulable storage bins in the target area in order from large to small according to the allowed scheduling amount of each schedulable storage bin in the target area for the target user, and generate a first recommended supply storage bin set for the target user's scheduling request.

[0011] The second recommended supply storage warehouse set acquisition module is used to analyze the transportation priority coefficients of each dispatchable storage warehouse in the target area, arrange the dispatchable storage warehouses in the target area in descending order according to the transportation priority coefficients, and generate a second recommended supply storage warehouse set for the target user scheduling request.

[0012] The scheduling plan formulation module is used to formulate a scheduling plan for the target user and provide feedback based on the first and second recommended supply storage warehouse sets of the target user's scheduling request.

[0013] The cloud database is used to store the personal dispatch qualification evaluation coefficients of oil and gas fuel dispatch applicants, the preset reasonable thresholds of the supply dispatch qualification evaluation coefficients, the reference safe driving speeds of oil and gas fuel transport vehicles, and the oil and gas fuel transportation safety setting weights corresponding to each road section type.

[0014] Preferably, the relevant scheduling parameters include the type of oil and gas fuel to be scheduled, the scheduling demand, the scheduling location, various quality requirement indicators and their reaching thresholds.

[0015] The basic information includes a dispatch permission index α1, a historical dispatch capability index α2, and a payment integrity index α3.

[0016] Preferably, the basic information of the target user is obtained, including: when receiving the dispatch application of the target user, the background starts the automatic data extraction process, and retrieves and obtains the basic personal dispatch information of the target user in real time through the preset data interface, including the dispatch license certification period, business qualification certification period, legal identity certification period, oil and gas fuel types of each historical dispatch, dispatch volume m i , required payment date and payment price, actual payment date and payment price, where i is the number of each historical dispatch, i = 1, 2, ..., b.

[0017] The date on which the target user's dispatch application is received is obtained, and it is compared with the dispatch permission certificate period, business qualification certificate period, and legal identity certificate period in the target user's personal basic dispatch information one by one to determine whether the date on which the target user's dispatch application is received is within the dispatch permission certificate period, business qualification certificate period, and legal identity certificate period of the target user, respectively. If they are all within the period, the dispatch permission index of the target user is determined to be 1, otherwise it is determined to be 0, and then the dispatch permission index α1 of the target user is obtained, α1=1 or 0.

[0018] According to the target user's relevant scheduling parameters, specify the type of oil and gas fuel and the scheduling demand m 需 , extract the dispatching quantity m of the same oil and gas fuel type dispatching in each historical dispatching of the target user's personal basic dispatching information i′ , where i′ is the number of each historical dispatch of the same oil and gas fuel type, i′=1′, 2′,..., b′, and the historical dispatch capability index α2 of the target user is analyzed, and its calculation formula is: Where b and b′ are the historical dispatch times of the target user and the historical dispatch times of the same oil and gas fuel type, respectively; Δm is the preset reasonable deviation threshold of the oil and gas fuel dispatch quantity; and e is a natural constant.

[0019] Preferably, the acquisition of the basic information of the target user further includes: extracting the required payment date and payment price of each historical scheduling in the personal basic scheduling information of the target user Actual payment date and price paid Compare the required payment date of each historical dispatch with the actual payment date. If the required payment date of a historical dispatch is before the actual payment date, the payment integrity determination factor of the historical dispatch is recorded as ω, otherwise it is recorded as β. Obtain the payment integrity determination factor h of each historical dispatch of the target user i ,h i =ω or β, β>ω.

[0020] Analyze the payment integrity index α3 of the target user, and its calculation formula is:

[0021] Preferably, the calculation formula of the target user's personal scheduling qualification evaluation coefficient is: Among them, l1, l2, and l3 are the corresponding weight ratios of the preset dispatch permission index, historical dispatch capability index, and payment integrity index respectively.

[0022] Preferably, the screening of each dispatchable storage bin in the target area and analyzing its allowed dispatching amount for the target user includes: extracting the type of oil and gas fuel to be dispatched and each quality requirement index and its reaching threshold value specified in the relevant dispatching parameters of the target user.

[0023] Extract the oil and gas fuel storage bins containing the specified scheduling oil and gas fuel type in the target area, record them as designated storage bins, obtain the quality requirement indicators and actual detection values ​​of the specified scheduling oil and gas fuel in each designated storage bin, and compare them with the corresponding compliance thresholds. If the actual detection values ​​of the quality requirement indicators of the specified scheduling oil and gas fuel in a designated storage bin match the corresponding compliance threshold requirements, then the designated storage bin is determined to be a schedulable storage bin, and then the schedulable storage bins are screened out.

[0024] Get the current storage volume n of the specified dispatchable oil and gas fuel in each dispatchable storage bin in the target area j , transmission supply n′ j and the booked supply n″ j , where j is the number of each dispatchable storage bin in the target area, j = 1, 2, ..., c, according to the formula Δn j =n j -n′ j -n″ j The allowed dispatching amount of each dispatchable storage bin in the target area for the target user is obtained.

[0025] Preferably, the calculation formula of the supply scheduling qualification evaluation coefficient of the target user is:

[0026] Preferably, the step of determining whether to approve the target user's scheduling request comprises: using the formula The comprehensive scheduling qualification evaluation coefficient of the target user is obtained, where GR0 and GY0 are the preset reasonable thresholds of the personal scheduling qualification evaluation coefficient and the supply scheduling qualification evaluation coefficient of the oil and gas fuel scheduling application user stored in the cloud database, respectively.

[0027] If the comprehensive dispatch qualification evaluation coefficient of the target user is greater than or equal to the set value, the dispatch request of the target user is approved, otherwise the dispatch request of the target user is rejected.

[0028] Preferably, the analysis of the transportation priority coefficient of each dispatchable storage warehouse in the target area includes: obtaining the layout location of each dispatchable storage warehouse in the target area, combining the dispatching location of the dispatched oil and gas fuel specified in the target user's relevant dispatching parameters, obtaining each transportation path between each dispatchable storage warehouse in the target area and the dispatching location of the dispatched oil and gas fuel specified by the target user, and selecting the transportation path with the shortest transportation distance as the reference transportation path for each dispatchable storage warehouse in the target area.

[0029] Obtain the transportation distance l of the reference transportation path of each dispatchable storage warehouse in the target area j, the reference safe driving speed of oil and gas fuel transport vehicles stored in the cloud database is used to further obtain the reference transportation time of each dispatchable storage warehouse within the target.

[0030] Obtain the longest section type of the reference transportation path of each dispatchable storage warehouse in the target area and the estimated traffic flow z within the reference transportation time j , the oil and gas fuel transportation safety setting weights corresponding to each road section type stored in the cloud database, and the oil and gas fuel transportation safety setting weights corresponding to the longest road section type of the reference transportation path of each dispatchable storage warehouse in the target area φ j .

[0031] Analyze the transportation priority coefficient τ of each dispatchable storage warehouse in the target area j , and its calculation formula is:

[0032] Preferably, the formulation of the scheduling plan for the target user includes: recording each schedulable storage bin whose allowed scheduling quantity of the oil and gas fuel designated for the target user is greater than or equal to its scheduling demand as a target storage bin.

[0033] If there are two or more target storage bins in the first recommended supply storage bin set of the target user's scheduling request, the target storage bin with the highest order of arrangement is selected as the best recommended supply storage bin for the target user according to the order of arrangement of the target storage bins in the second recommended supply storage bin set of the target user's scheduling request.

[0034] If there is a target storage bin in the first recommended supply storage bin set of the target user's scheduling request, the target storage bin is used as the best recommended supply storage bin for the target user.

[0035] If the target storage bin does not exist in the first recommended supply storage bin set of the target user's scheduling request, the designated scheduling of oil and gas fuel supply shall be carried out in sequence according to the arrangement order of each schedulable storage bin in the second recommended supply storage bin set of the target user's scheduling request until the accumulated supply value reaches the scheduling demand value of the oil and gas fuel designated by the target user.

[0036] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) By analyzing the dispatch permission index, the historical dispatch capability index and the payment integrity index, the present invention achieves the comprehensiveness, accuracy and objectivity of the analysis of the target user's personal dispatch qualification evaluation coefficient, effectively understands the target user's dispatch permission capability, payment integrity status and historical dispatch capability, helps to more accurately grasp the target user's personal dispatch qualification, and provides data support for the subsequent approval of the target user's dispatch application.

[0037] (2) The present invention screens each dispatchable storage warehouse in the target area and analyzes its allowed dispatch quantity for the target user, and analyzes the supply dispatch qualification evaluation coefficient of the target user based on the overall allowed dispatch quantity of the dispatchable storage warehouse in the target area, thereby helping to effectively understand the overall supply capacity of the dispatchable storage warehouse in the target area for the target user, and providing scientific support for the subsequent formulation of dispatch plans.

[0038] (3) The present invention analyzes the comprehensive scheduling qualification evaluation coefficient of the target user by combining the personal scheduling qualification evaluation coefficient of the target user and the supply scheduling qualification evaluation coefficient, and uses it as the data basis for determining whether to approve the scheduling request of the target user. It examines the personal ability and credit status of the target user and considers the supply capacity, so as to ensure the reliability and stability of subsequent scheduling execution.

[0039] (4) The present invention allows the scheduling quantity and the transportation priority coefficient to respectively generate the first recommended supply storage warehouse set and the second recommended supply storage warehouse set for the target user's scheduling request, and formulates scheduling plans for the target user under various scenarios, thereby making up for the defect of the prior art that ignores the possibility of collaborative optimization of resources among multiple storage warehouses, improving the overall supply chain efficiency of oil and gas fuels, and improving the adaptability of the supply chain in the face of complex and changing situations, thereby achieving optimal resource allocation and utilization. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0041] Figure 1 It is a schematic diagram of module connection of the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] Reference Figure 1 As shown, the present invention provides an oil and gas fuel supply chain scheduling and management system based on big data, including: a scheduling request receiving module, a personal scheduling qualification evaluation module, a supply scheduling qualification evaluation module, a scheduling request approval determination module, a first recommended supply storage warehouse set acquisition module, a second recommended supply storage warehouse set acquisition module, a scheduling plan formulation module and a cloud database.

[0044] The scheduling request receiving module is connected to the personal scheduling qualification assessment module and the supply scheduling qualification assessment module respectively, the personal scheduling qualification assessment module and the supply scheduling qualification assessment module are both connected to the scheduling request approval determination module, the scheduling request approval determination module is connected to the first recommended supply storage warehouse set acquisition module, the first recommended supply storage warehouse set acquisition module is connected to the second recommended supply storage warehouse set acquisition module, the second recommended supply storage warehouse set acquisition module is connected to the scheduling plan formulation module, and the cloud database is connected to the scheduling request approval determination module and the second recommended supply storage warehouse set acquisition module respectively.

[0045] The scheduling request receiving module is used to receive a scheduling request and related scheduling parameters from a target user for an oil and gas fuel storage bin in a target area.

[0046] The personal dispatch qualification evaluation module is used to obtain basic information of the target user and analyze the personal dispatch qualification evaluation coefficient of the target user.

[0047] Specifically, the relevant scheduling parameters include the type of oil and gas fuel to be scheduled, the scheduling demand, the scheduling location, various quality requirement indicators and their reaching thresholds.

[0048] It should be noted that the above-mentioned relevant scheduling parameters of the target user are obtained by uploading by the target user.

[0049] The basic information includes a dispatch permission index α1, a historical dispatch capability index α2, and a payment integrity index α3.

[0050] Specifically, the basic information of the target user is obtained, including: when receiving the dispatch application of the target user, the background starts the automatic data extraction process, and retrieves and obtains the basic personal dispatch information of the target user in real time through the preset data interface, including the dispatch license certificate period, business qualification certificate period, legal identity certificate period, oil and gas fuel types of each historical dispatch, dispatch volume m i , required payment date and payment price, actual payment date and payment price, where i is the number of each historical dispatch, i = 1, 2, ..., b.

[0051] The date on which the target user's dispatch application is received is obtained, and it is compared with the dispatch permission certificate period, business qualification certificate period, and legal identity certificate period in the target user's personal basic dispatch information one by one to determine whether the date on which the target user's dispatch application is received is within the dispatch permission certificate period, business qualification certificate period, and legal identity certificate period of the target user, respectively. If they are all within the period, the dispatch permission index of the target user is determined to be 1, otherwise it is determined to be 0, and then the dispatch permission index α1 of the target user is obtained, α1=1 or 0.

[0052] According to the target user's relevant scheduling parameters, specify the type of oil and gas fuel and the scheduling demand m 需 , extract the dispatching quantity m of the same oil and gas fuel type dispatching in each historical dispatching of the target user's personal basic dispatching information i′ , where i′ is the number of each historical dispatch of the same oil and gas fuel type, i′=1′, 2′,..., b′, and the historical dispatch capability index α2 of the target user is analyzed, and its calculation formula is: Where b and b′ are the historical dispatch times of the target user and the historical dispatch times of the same oil and gas fuel type, respectively; Δm is the preset reasonable deviation threshold of the oil and gas fuel dispatch quantity; and e is a natural constant.

[0053] Specifically, the basic information of the target user is obtained, and further includes: extracting the required payment date and payment price of each historical scheduling in the personal basic scheduling information of the target user. Actual payment date and price paid Compare the required payment date of each historical dispatch with the actual payment date. If the required payment date of a historical dispatch is before the actual payment date, the payment integrity determination factor of the historical dispatch is recorded as ω, otherwise it is recorded as β. Obtain the payment integrity determination factor h of each historical dispatch of the target user i ,h i =ω or β, β>ω.

[0054] Analyze the payment integrity index α3 of the target user, and its calculation formula is:

[0055] Specifically, the calculation formula of the target user's personal scheduling qualification evaluation coefficient is: Among them, l1, l2, and l3 are the corresponding weight ratios of the preset dispatch permission index, historical dispatch capability index, and payment integrity index respectively.

[0056] The embodiment of the present invention achieves the comprehensiveness, accuracy and objectivity of the analysis of the target user's personal scheduling qualification evaluation coefficient by analyzing the scheduling permission index, the historical scheduling capability index and the payment integrity index, effectively understands the target user's scheduling permission capability, payment integrity status and historical scheduling capability, helps to more accurately grasp the target user's personal scheduling qualifications, and provides data support for the subsequent approval of the target user's scheduling application.

[0057] The supply scheduling qualification evaluation module is used to screen the schedulable storage bins in the target area based on the relevant scheduling parameters of the target user and analyze the allowed scheduling quantities for the target user, and analyze the supply scheduling qualification evaluation coefficient of the target user.

[0058] Specifically, the screening of each dispatchable storage warehouse in the target area and analyzing its allowed dispatch amount for the target user includes: extracting the type of oil and gas fuel to be dispatched and each quality requirement index and its reaching threshold value specified in the relevant dispatch parameters of the target user.

[0059] Extract the oil and gas fuel storage bins containing the specified scheduling oil and gas fuel type in the target area, record them as designated storage bins, obtain the quality requirement indicators and actual detection values ​​of the specified scheduling oil and gas fuel in each designated storage bin, and compare them with the corresponding compliance thresholds. If the actual detection values ​​of the quality requirement indicators of the specified scheduling oil and gas fuel in a designated storage bin match the corresponding compliance threshold requirements, then the designated storage bin is determined to be a schedulable storage bin, and then the schedulable storage bins are screened out.

[0060] Get the current storage volume n of the specified dispatchable oil and gas fuel in each dispatchable storage bin in the target area j , transmission supply n′ j and the booked supply n″ j , where j is the number of each dispatchable storage bin in the target area, j = 1, 2, ..., c, according to the formula Δn j =n j -n′ j -n″ j The allowed dispatching amount of each dispatchable storage bin in the target area for the target user is obtained.

[0061] It should be noted that the method for obtaining the current storage capacity, transmission supply capacity and reserved supply capacity of the designated dispatchable oil and gas fuel in each dispatchable storage warehouse in the above-mentioned target area is to query by logging into the real-time monitoring and management platform of the oil and gas fuel storage pipe in the target area.

[0062] Specifically, the calculation formula of the supply scheduling qualification evaluation coefficient of the target user is:

[0063] The embodiment of the present invention screens each dispatchable storage warehouse in the target area and analyzes its allowed dispatchable quantity for the target user, and analyzes the supply dispatch qualification evaluation coefficient of the target user from the overall allowed dispatchable quantity of the dispatchable storage warehouse in the target area, so as to effectively understand the overall supply capacity of the dispatchable storage warehouse in the target area for the target user and provide scientific guarantee for the subsequent scheduling plan formulation.

[0064] The scheduling request approval determination module is used to determine whether to approve the scheduling request of the target user in combination with the personal scheduling qualification coefficient and the supply scheduling qualification coefficient of the target user. If it is determined to be approved, the first recommended supply storage warehouse set acquisition module is executed. Otherwise, the scheduling request of the target user is rejected.

[0065] Specifically, the determination of whether to approve the scheduling request of the target user includes: using the formula The comprehensive scheduling qualification evaluation coefficient of the target user is obtained, where GR0 and GY0 are the preset reasonable thresholds of the personal scheduling qualification evaluation coefficient and the supply scheduling qualification evaluation coefficient of the oil and gas fuel scheduling application user stored in the cloud database, respectively.

[0066] If the comprehensive dispatch qualification evaluation coefficient of the target user is greater than or equal to the set value, the dispatch request of the target user is approved, otherwise the dispatch request of the target user is rejected.

[0067] The embodiment of the present invention combines the personal scheduling qualification evaluation coefficient of the target user and the supply scheduling qualification evaluation coefficient to analyze the comprehensive scheduling qualification evaluation coefficient of the target user as the data basis for determining whether to approve the scheduling request of the target user. It not only examines the personal ability and credit status of the target user, but also considers the supply capacity to ensure the reliability and stability of subsequent scheduling execution.

[0068] The first recommended supply storage bin set acquisition module is used to arrange the schedulable storage bins in the target area in order from large to small according to the allowed scheduling amount of each schedulable storage bin in the target area for the target user, and generate a first recommended supply storage bin set for the target user's scheduling request.

[0069] The second recommended supply storage warehouse set acquisition module is used to analyze the transportation priority coefficients of each dispatchable storage warehouse in the target area, arrange the dispatchable storage warehouses in the target area in descending order according to the transportation priority coefficients, and generate a second recommended supply storage warehouse set for the target user scheduling request.

[0070] Specifically, the analysis of the transportation priority coefficient of each dispatchable storage warehouse in the target area includes: obtaining the layout location of each dispatchable storage warehouse in the target area, combining the dispatching location of the dispatched oil and gas fuel specified in the target user's relevant dispatching parameters, and obtaining each transportation path between each dispatchable storage warehouse in the target area and the dispatching location of the dispatched oil and gas fuel specified by the target user, and selecting the transportation path with the shortest transportation distance as the reference transportation path for each dispatchable storage warehouse in the target area.

[0071] Obtain the transportation distance l of the reference transportation path of each dispatchable storage warehouse in the target area j , the reference safe driving speed of oil and gas fuel transport vehicles stored in the cloud database is used to further obtain the reference transportation time of each dispatchable storage warehouse within the target.

[0072] It should be noted that the transportation paths between each dispatchable storage warehouse in the above-mentioned target area and the dispatching position of the oil and gas fuel designated by the target user and the transportation distance of the reference transportation path are obtained through the navigation function of the map software.

[0073] Obtain the longest section type of the reference transportation path of each dispatchable storage warehouse in the target area and the estimated traffic flow z within the reference transportation time j , the oil and gas fuel transportation safety setting weights corresponding to each road section type stored in the cloud database, and the oil and gas fuel transportation safety setting weights corresponding to the longest road section type of the reference transportation path of each dispatchable storage warehouse in the target area φ j .

[0074] It should be noted that the longest road section type refers to the road section with the largest transportation distance in the reference transportation route. For example, the road section type may be a highway, a city street, a rural street, a mountain road, etc.

[0075] It should also be noted that the estimated traffic flow within the reference transport time of the above-mentioned reference transport route is obtained by calculating the average of the traffic flow within the reference transport time of the reference transport section in history on each day monitored and saved in real time by the traffic application and map service.

[0076] Analyze the transportation priority coefficient τ of each dispatchable storage warehouse in the target area j , and its calculation formula is:

[0077] The scheduling plan formulation module is used to formulate a scheduling plan for the target user and provide feedback based on the first and second recommended supply storage warehouse sets of the target user's scheduling request.

[0078] Specifically, the formulation of the scheduling plan for the target user includes: recording each schedulable storage bin whose allowed scheduling quantity of the oil and gas fuel designated for the target user is greater than or equal to its scheduling demand as a target storage bin.

[0079] If there are two or more target storage bins in the first recommended supply storage bin set of the target user's scheduling request, the target storage bin with the highest order of arrangement is selected as the best recommended supply storage bin for the target user according to the order of arrangement of the target storage bins in the second recommended supply storage bin set of the target user's scheduling request.

[0080] If there is a target storage bin in the first recommended supply storage bin set of the target user's scheduling request, the target storage bin is used as the best recommended supply storage bin for the target user.

[0081] If the target storage bin does not exist in the first recommended supply storage bin set of the target user's scheduling request, the designated scheduling of oil and gas fuel supply shall be carried out in sequence according to the arrangement order of each schedulable storage bin in the second recommended supply storage bin set of the target user's scheduling request until the accumulated supply value reaches the scheduling demand value of the oil and gas fuel designated by the target user.

[0082] Exemplarily, the first recommended supply storage warehouse set for the target user's scheduling request is {A, B, C, D}, and the second recommended supply storage warehouse set for the target user's scheduling request is {B, D, A, C}, where the allowed scheduling quantities of oil and gas fuels in the scheduling storage warehouses A, B, C, and D for the target user's specified scheduling are 60 units, 50 units, 40 units, and 30 units, respectively.

[0083] If the target user specifies a scheduling demand of 45 units of oil and gas fuel, then the schedulable storage warehouses A and B are both target storage warehouses. If there are two or more target storage warehouses in the first recommended supply storage warehouse set of the target user's scheduling request, the schedulable storage warehouse B is selected as the best recommended supply storage warehouse for the target user according to the arrangement order of the schedulable storage warehouses A and B in the second recommended supply storage warehouse set of the target user's scheduling request.

[0084] If the target user specifies that the scheduling demand for oil and gas fuel is 55 units, then the schedulable storage warehouse A is the target storage warehouse. If there is a target storage warehouse in the first recommended supply storage warehouse set of the target user's scheduling request, then the schedulable storage warehouse A will be used as the best recommended supply storage warehouse for the target user.

[0085] If the target user specifies a scheduling demand of 115 units of oil and gas fuel, and the target storage bin does not exist in the first recommended supply storage bin set of the target user's scheduling request, then the specified oil and gas fuel will be scheduled from the schedulable storage bins B, D, and A in sequence according to the arrangement order of the schedulable storage bins in the second recommended supply storage bin set of the target user's scheduling request until the scheduling demand value of the oil and gas fuel specified by the target user is reached.

[0086] The embodiment of the present invention allows the scheduling quantity and the transportation priority coefficient to respectively generate the first recommended supply storage warehouse set and the second recommended supply storage warehouse set of the target user's scheduling request, and formulates scheduling plans for the target user under various scenarios, thereby compensating for the defect of the prior art that ignores the possibility of collaborative optimization of resources among multiple storage warehouses, improving the overall supply chain efficiency of oil and gas fuels, and improving the adaptability of the supply chain in the face of complex and changing situations, thereby achieving optimal resource allocation and utilization.

[0087] The cloud database is used to store the personal dispatch qualification evaluation coefficients of oil and gas fuel dispatch application users, preset reasonable thresholds of supply dispatch qualification evaluation coefficients, store reference safe driving speeds of oil and gas fuel transport vehicles, and store oil and gas fuel transportation safety setting weights corresponding to various road section types.

[0088] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A big data-based oil and gas fuel supply chain scheduling and management system, characterized in that: The system includes: A scheduling request receiving module, used to receive a scheduling request and related scheduling parameters from a target user for an oil and gas fuel storage bin in a target area; The personal dispatch qualification evaluation module is used to obtain the basic information of the target user and analyze the personal dispatch qualification evaluation coefficient of the target user; A supply scheduling qualification evaluation module is used to screen the schedulable storage bins in the target area based on the relevant scheduling parameters of the target user and analyze the allowed scheduling amount for the target user, and analyze the supply scheduling qualification evaluation coefficient of the target user; The scheduling request approval determination module is used to determine whether to approve the scheduling request of the target user by combining the personal scheduling qualification coefficient and the supply scheduling qualification coefficient of the target user. If it is determined to be approved, the first recommended supply storage warehouse set acquisition module is executed. Otherwise, the scheduling request of the target user is rejected. A first recommended supply storage bin set acquisition module is used to arrange the schedulable storage bins in the target area in order from large to small according to the allowed scheduling amount of each schedulable storage bin in the target area for the target user, and generate a first recommended supply storage bin set for the scheduling request of the target user; The second recommended supply storage warehouse set acquisition module is used to analyze the transportation priority coefficients of each dispatchable storage warehouse in the target area, arrange the dispatchable storage warehouses in the target area in descending order according to the transportation priority coefficients, and generate a second recommended supply storage warehouse set for the target user's dispatch request; A scheduling plan formulation module, used to formulate a scheduling plan for the target user and provide feedback based on the first and second recommended supply storage warehouse sets of the target user's scheduling request; The cloud database is used to store the personal dispatch qualification evaluation coefficients of oil and gas fuel dispatch applicants, the preset reasonable thresholds of the supply dispatch qualification evaluation coefficients, the reference safe driving speeds of oil and gas fuel transport vehicles, and the oil and gas fuel transportation safety setting weights corresponding to each road section type.

2. The oil and gas fuel supply chain scheduling and management system based on big data according to claim 1 is characterized by: The relevant scheduling parameters include the type of oil and gas fuel to be scheduled, the scheduling demand, the scheduling location, various quality requirement indicators and their threshold values; The basic information includes a dispatch permission index α1, a historical dispatch capability index α2, and a payment integrity index α3.

3. The oil and gas fuel supply chain scheduling and management system based on big data according to claim 2 is characterized by: The basic information of the target user is obtained, including: when receiving the dispatch application of the target user, the background starts the automatic data extraction process, and retrieves and obtains the basic personal dispatch information of the target user in real time through the preset data interface, including the dispatch license certificate period, business qualification certificate period, legal identity certificate period, oil and gas fuel type of each historical dispatch, dispatch volume m i , required payment date and payment price, actual payment date and payment price, where i is the number of each historical dispatch, i = 1, 2, ..., b; The date of the day when the target user's dispatch application is received is obtained, and the date is compared with the dispatch permission certificate period, business qualification certificate period, and legal identity certificate period in the target user's personal basic dispatch information one by one to determine whether the day when the target user's dispatch application is received is within the dispatch permission certificate period, business qualification certificate period, and legal identity certificate period of the target user, respectively. If they are all within the period, the dispatch permission index of the target user is determined to be 1, otherwise it is determined to be 0, and then the dispatch permission index α1 of the target user is obtained, α1 = 1 or 0; According to the target user's relevant scheduling parameters, specify the type of oil and gas fuel and the scheduling demand m 需 , extract the dispatching quantity m of the same oil and gas fuel type dispatching in each historical dispatching of the target user's personal basic dispatching information i′ , where i′ is the number of each historical dispatch of the same oil and gas fuel type, i′=1′, 2′,…, b′, and the historical dispatch capability index α2 of the target user is analyzed, and its calculation formula is: Where b and b′ are the historical dispatch times of the target user and the historical dispatch times of the same oil and gas fuel type, respectively; Δm is the preset reasonable deviation threshold of the oil and gas fuel dispatch quantity; and e is a natural constant.

4. The oil and gas fuel supply chain scheduling and management system based on big data according to claim 3 is characterized by: The obtaining of the basic information of the target user also includes: extracting the required payment date and payment price of each historical scheduling in the personal basic scheduling information of the target user Actual payment date and price paid Compare the required payment date of each historical dispatch with the actual payment date. If the required payment date of a historical dispatch is before the actual payment date, the payment integrity determination factor of the historical dispatch is recorded as ω, otherwise it is recorded as β. Obtain the payment integrity determination factor h of each historical dispatch of the target user i ,h i =ω or β, β>ω; Analyze the payment integrity index α3 of the target user, and its calculation formula is:

5. The oil and gas fuel supply chain scheduling and management system based on big data according to claim 2 is characterized by: The calculation formula of the target user's personal scheduling qualification evaluation coefficient is: Among them, l1, l2, and l3 are the corresponding weight ratios of the preset dispatch permission index, historical dispatch capability index, and payment integrity index respectively.

6. The oil and gas fuel supply chain scheduling and management system based on big data according to claim 5 is characterized by: The screening of each dispatchable storage bin in the target area and analyzing the allowable dispatch amount for the target user includes: extracting the type of oil and gas fuel specified for dispatch and each quality requirement index and its reaching threshold value in the relevant dispatch parameters of the target user; Extract the oil and gas fuel storage bins containing the designated dispatched oil and gas fuel type in the target area, record them as designated storage bins, obtain the quality requirement indicators and actual detection values ​​of the designated dispatched oil and gas fuel in each designated storage bin, and compare them with the corresponding compliance thresholds. If the actual detection values ​​of the quality requirement indicators of the designated dispatched oil and gas fuel in a designated storage bin match the corresponding compliance thresholds, then the designated storage bin is determined to be a dispatchable storage bin, and then the dispatchable storage bins are screened out; Get the current storage volume n of the specified dispatchable oil and gas fuel in each dispatchable storage bin in the target area j , transmission supply n′ j and the booked supply n″ j , where j is the number of each dispatchable storage bin in the target area, j = 1, 2, ..., c, according to the formula Δn j =n j -n′ j -n″ j The allowed dispatching amount of each dispatchable storage bin in the target area for the target user is obtained.

7. The oil and gas fuel supply chain scheduling and management system based on big data according to claim 6 is characterized by: The calculation formula of the supply scheduling qualification evaluation coefficient of the target user is:

8. The oil and gas fuel supply chain scheduling and management system based on big data according to claim 7 is characterized by: The determination of whether to approve the scheduling request of the target user includes: using the formula Obtain the comprehensive dispatch qualification evaluation coefficient of the target user, where GR0 and GY0 are respectively the preset reasonable thresholds of the personal dispatch qualification evaluation coefficient and the supply dispatch qualification evaluation coefficient of the oil and gas fuel dispatch application user stored in the cloud database; If the comprehensive dispatch qualification evaluation coefficient of the target user is greater than or equal to the set value, the dispatch request of the target user is approved, otherwise the dispatch request of the target user is rejected.

9. The oil and gas fuel supply chain scheduling and management system based on big data according to claim 6 is characterized by: The analysis of the transportation priority coefficients of each dispatchable storage warehouse in the target area includes: obtaining the layout positions of each dispatchable storage warehouse in the target area, combining the dispatching positions of the dispatched oil and gas fuels specified in the dispatching parameters related to the target user, obtaining each transportation path between each dispatchable storage warehouse in the target area and the dispatching position of the dispatched oil and gas fuels specified by the target user, and selecting the transportation path with the shortest transportation distance as the reference transportation path for each dispatchable storage warehouse in the target area; Obtain the transportation distance l of the reference transportation path of each dispatchable storage warehouse in the target area j , using the reference safe driving speed of oil and gas fuel transport vehicles stored in the cloud database, the reference transportation time of each dispatchable storage warehouse within the target is further obtained; Obtain the longest section type of the reference transportation path of each dispatchable storage warehouse in the target area and the estimated traffic flow z within the reference transportation time j , the oil and gas fuel transportation safety setting weights corresponding to each road section type stored in the cloud database, and the oil and gas fuel transportation safety setting weights corresponding to the longest road section type of the reference transportation path of each dispatchable storage warehouse in the target area φ j ; Analyze the transportation priority coefficient τ of each dispatchable storage warehouse in the target area j , and its calculation formula is:

10. The oil and gas fuel supply chain scheduling and management system based on big data according to claim 1 is characterized by: The formulating of the scheduling plan for the target user includes: recording each schedulable storage bin whose allowed scheduling amount of the oil and gas fuel designated for the target user is greater than or equal to its scheduling demand as a target storage bin; If there are two or more target storage bins in the first recommended supply storage bin set of the target user's scheduling request, then according to the arrangement order of the target storage bins in the second recommended supply storage bin set of the target user's scheduling request, select the target storage bin with the highest arrangement order as the best recommended supply storage bin for the target user; If there is a target storage bin in the first recommended supply storage bin set of the target user's scheduling request, then the target storage bin is used as the best recommended supply storage bin for the target user; If the target storage bin does not exist in the first recommended supply storage bin set of the target user's scheduling request, the designated scheduling of oil and gas fuel supply shall be carried out in sequence according to the arrangement order of each schedulable storage bin in the second recommended supply storage bin set of the target user's scheduling request until the accumulated supply value reaches the scheduling demand value of the oil and gas fuel designated by the target user.

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