Gas source supply optimization method, device and equipment and storage medium

Abstract

The invention belongs to the technical field of supply chain optimization, and discloses a gas source supply optimization method and device, equipment and a storage medium. The method comprises the following steps: acquiring a gas source type of a to-be-supplied gas source; determining a price parameter according to the gas source type; acquiring the gas supply distance with each terminal user; determining a variable pipeline transportation cost parameter according to the gas supply distance; and optimizing the supply of the gas source to be supplied based on the price parameter and the variable pipeline transportation cost parameter. By means of the mode, data analysis is conducted on the price parameters and the variable pipeline transportation cost parameters, adjustment of gas source supply is achieved based on the analysis result, the whole process does not involve human participation, and the accuracy and rationality of gas source supply optimization can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of supply chain optimization, and in particular to a gas source supply optimization method, device, equipment and storage medium. Background Art

[0002] In the gas supply scenario, identifying high-value gas users can determine the revenue generated by different gas users, which is of great significance for purchasing decisions on incremental gas sources and optimizing the supply chain.

[0003] At present, the optimization of gas supply is mainly evaluated manually and adjusted periodically based on human experience. However, this method is subjective and limited by human experience, resulting in inaccurate and unreasonable optimization of gas supply.

[0004] The above contents are only used to assist in understanding the technical solution of the present invention and do not constitute an admission that the above contents are prior art. Summary of the invention

[0005] The main purpose of the present invention is to provide a gas source supply optimization method, device, equipment and storage medium, aiming to solve the technical problem of lack of accuracy and rationality in optimizing gas source supply manually.

[0006] To achieve the above object, the present invention provides a gas source supply optimization method, which comprises the following steps:

[0007] Obtain the gas source type of the gas source to be supplied;

[0008] Determining price parameters according to the gas source type;

[0009] Obtain the gas supply distance to each end user;

[0010] Determining a variable pipeline transportation cost parameter according to the gas supply distance;

[0011] The supply of the gas source to be supplied is optimized based on the price parameter and the variable pipeline cost parameter.

[0012] In some embodiments, determining the price parameter according to the gas source type includes:

[0013] Determine the corresponding terminal users according to the gas source type;

[0014] Determine the supply area corresponding to each terminal user;

[0015] Corresponding price parameters are determined based on the supply area.

[0016] In some embodiments, determining a variable pipeline transportation cost parameter according to the gas supply distance includes:

[0017] Determine the gas supply volume for each terminal user corresponding to the gas source to be supplied;

[0018] Determining a variable pipeline transportation cost parameter per unit distance based on the gas supply volume;

[0019] The variable pipeline transportation cost parameter is determined according to the variable pipeline transportation cost parameter per unit distance and the gas supply distance.

[0020] In some embodiments, the relationship corresponding to the variable pipeline transportation cost parameter per unit distance is: Among them, B is the average variable pipeline transportation cost per unit turnover of the whole network, q mij is the gas supply from the m-type gas source to the j-th end user in the ith supply area. The variable pipeline cost parameter b˙s mij ,s mij is the air supply distance.

[0021] In some embodiments, the optimizing the supply of the gas source to be supplied based on the price parameter and the variable pipeline cost parameter includes:

[0022] Determining a decision parameter according to the price parameter and the variable pipeline transportation cost parameter;

[0023] Determine a target benefit parameter based on the decision parameter and the preset parameter;

[0024] The supply of the gas source to be supplied is optimized based on the target yield parameter.

[0025] In some embodiments, determining the target revenue parameter based on the decision parameter and the preset parameter includes:

[0026] Determine a total gas purchase cost parameter based on the gas supply volume of each end user corresponding to the gas source to be supplied and preset parameters;

[0027] Determining fixed costs based on the preset parameters;

[0028] A target profit parameter is determined according to the total gas purchase cost parameter, the fixed cost and the decision parameter.

[0029] In some embodiments, optimizing the supply of the gas source to be supplied based on the target revenue parameter includes:

[0030] Based on the target revenue parameter, the terminal users are sorted according to their corresponding supply areas in terms of revenue;

[0031] Determine a number of target end users in each supply area based on the ranking results;

[0032] Gas sources are supplied to a number of target terminal users within each supply area.

[0033] In addition, to achieve the above-mentioned purpose, the present invention also proposes a gas source supply optimization device, the gas source supply optimization device comprising:

[0034] An acquisition module, used for acquiring the gas source type of the gas source to be supplied;

[0035] A calculation module, used for determining price parameters according to the gas source type;

[0036] The acquisition module is used to acquire the gas supply distance between each terminal user;

[0037] The calculation module is used to determine a variable pipeline transportation cost parameter according to the gas supply distance;

[0038] An optimization module is used to optimize the supply of the gas source to be supplied based on the price parameter and the variable pipeline cost parameter.

[0039] In addition, to achieve the above-mentioned purpose, the present invention also proposes a gas source supply optimization device, which includes: a memory, a processor, and a gas source supply optimization program stored in the memory and executable on the processor, and the gas source supply optimization program is configured to implement the steps of the gas source supply optimization method described above.

[0040] In addition, to achieve the above objectives, the present invention further proposes a storage medium, on which a gas source supply optimization program is stored, and when the gas source supply optimization program is executed by a processor, the steps of the gas source supply optimization method described above are implemented.

[0041] The present invention obtains the type of gas source to be supplied; determines the price parameter according to the gas source type; obtains the gas supply distance between each terminal user; determines the variable pipeline cost parameter according to the gas supply distance; and optimizes the supply of the gas source to be supplied based on the price parameter and the variable pipeline cost parameter. In the above manner, data analysis is performed on the price parameter and the variable pipeline cost parameter, and the gas source supply is adjusted based on the analysis results. The entire process does not involve human participation, which can improve the accuracy and rationality of gas source supply optimization. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a schematic diagram of the flow chart of the first embodiment of the gas source supply optimization method of the present invention;

[0043] Figure 2 This is a structural block diagram of the first embodiment of the gas source supply optimization device of the present invention.

[0044] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0045] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0046] The embodiment of the present invention provides a method for optimizing gas supply. Figure 1 , Figure 1 It is a schematic flow chart of a first embodiment of a gas source supply optimization method of the present invention.

[0047] In this embodiment, the gas source supply optimization method includes the following steps:

[0048] Step S10: Obtain the gas source type of the gas source to be supplied.

[0049] In this embodiment, the executor of this embodiment is a gas source supply optimization device, wherein the gas source supply optimization device has functions such as data processing, data communication and program running. The gas source supply optimization device can be a computer terminal device or other network device, and of course it can also be other devices with similar functions, and this embodiment does not limit this.

[0050] It should be noted that the current optimization of gas supply is mainly evaluated manually and adjusted periodically based on human experience. However, this method is subjective and limited by human experience, resulting in inaccurate and unreasonable optimization of gas supply.

[0051] In order to solve the above technical problems, in this embodiment, the gas source type of the gas source to be supplied is obtained; the price parameter is determined according to the gas source type; the gas supply distance between each terminal user is obtained; the variable pipeline cost parameter is determined according to the gas supply distance; and the supply of the gas source to be supplied is optimized based on the price parameter and the variable pipeline cost parameter. In the above manner, data analysis is performed on the price parameter and the variable pipeline cost parameter, and the gas source supply is adjusted based on the analysis results. The whole process does not involve human participation, which can improve the accuracy and rationality of gas source supply optimization. Specifically, it can be achieved in the following manner.

[0052] In a specific implementation, in this embodiment, it is necessary to first determine the gas source type of the gas source to be supplied, wherein the gas source type includes but is not limited to conventional natural gas and liquefied natural gas.

[0053] Step S20: determining price parameters according to the gas source type.

[0054] In a specific implementation, corresponding price parameters can be determined based on different gas source types. Specifically, the corresponding terminal users are determined according to the gas source types; the corresponding supply areas are determined according to the terminal users; and the corresponding price parameters are determined based on the supply areas.

[0055] It should be noted that the factors that determine the price parameters in this embodiment are not only related to the gas source type, but also to the supply area. Even if the same type of gas source is delivered to the same type of end users, if the supply areas are different, the corresponding price parameters will also be different. The specific price parameters can be set according to actual conditions, and this is not limited in this embodiment.

[0056] Step S30: Obtain the gas supply distance to each terminal user.

[0057] When transporting gas through pipelines, certain costs will be incurred. Therefore, the actual pipeline transportation costs need to be considered for different end users. There is a direct relationship between the pipeline transportation costs and the gas supply distance. For example, the greater the gas supply distance, the higher the pipeline transportation costs. Conversely, the shorter the gas supply distance, the lower the corresponding pipeline transportation costs.

[0058] Step S40: determining a variable pipeline transportation cost parameter according to the gas supply distance.

[0059] It should be noted that the costs in this embodiment include fixed costs and variable costs. Fixed costs include manufacturing costs and employee wages, while variable costs mainly include major materials, fuel, power and losses, etc., and the variable pipeline cost parameter is an important item in the variable cost. The process of determining the variable pipeline cost parameter is specifically to determine the gas supply volume of each terminal user corresponding to the gas source to be supplied; determine the variable pipeline cost parameter per unit distance based on the gas supply volume; and determine the variable pipeline cost parameter according to the variable pipeline cost parameter per unit distance and the gas supply distance.

[0060] It should be noted that the relationship corresponding to the variable pipeline transportation cost parameter per unit distance in this embodiment is: Among them, B is the average unit turnover variable pipeline transportation cost of the whole network, q mij is the gas supply from the m-type gas source to the j-th end user in the ith supply area. The variable pipeline cost parameter b˙s mij ,s mij is the air supply distance.

[0061] Step S50: Optimizing the supply of the gas source to be supplied based on the price parameter and the variable pipeline cost parameter.

[0062] In a specific implementation, after obtaining the above-mentioned price parameters and variable pipeline cost parameters, the supply of the gas source to be supplied can be optimized in this embodiment. The optimization of the gas source to be supplied in this embodiment includes optimizing the gas supply volume to the terminal users, such as reducing the gas supply volume to some terminal users. Specifically, the gas supply volume to these terminal users can be reduced to the minimum gas consumption in the corresponding supply area, and at the same time, the gas supply volume to other terminal users can be increased. The specific increase can be set according to actual needs, and this is not limited in this embodiment.

[0063] Furthermore, the specific process of optimizing the gas source to be supplied is to determine the decision parameter according to the price parameter and the variable pipeline cost parameter; determine the target profit parameter based on the decision parameter and the preset parameter; and optimize the supply of the gas source to be supplied based on the target profit parameter.

[0064] It should be noted that the preset parameters are also known variable parameters, such as known variables, such as the gas purchase price of the mth gas source of the gas supplier, the gas purchase volume of the mth gas source of the gas supplier, the sales price of the gas source sold by the gas supplier to the jth type of terminal users in the i supply area, and the supplier's minimum supply of natural gas to the i supply area. Among the above-mentioned known variables, the values ​​of some variables are fixed, and the values ​​of some variables are constantly changing. In actual work, gas suppliers should focus on the analysis and prediction of these variables, which are used for gas suppliers to make sales optimization decisions for specific resources. Determining the size of these variables is a prerequisite for optimizing the allocation of resources and directly affects the results of the optimized allocation. The preset parameters are fixed parameters, which are usually not changed after the setting is completed, so they are not variable. The variable pipeline cost parameter and price are variable parameters, which are affected by factors such as gas supply distance, supply area and terminal user type, and play a decision-making role in subsequent optimization. Therefore, in this embodiment, the decision parameter can be determined according to the price parameter and the variable pipeline cost parameter. The calculation formula of the decision parameter is p ij -b·s mij , where p ij is the price parameter, b·s mij is the variable pipeline transportation cost parameter.

[0065] Furthermore, the process of determining the target profit parameter based on the decision parameters and the preset parameters is specifically as follows: determining the total gas purchase cost parameter based on the gas supply volume of each end user corresponding to the gas source to be supplied and the preset parameters; determining the fixed cost based on the preset parameters; and determining the target profit parameter based on the total gas purchase cost parameter, the fixed cost and the decision parameters.

[0066] It should be noted that in actual operation, the carrier will systematically optimize the transportation route based on the gas source and user distribution, gas inlet and outlet conditions, so it is difficult to determine the gas supply distance. Considering the transmission distance from the gas source to the user, the total gas purchase cost parameter is Among them C 总 is the total gas purchase cost parameter, is the gas purchase price of the mth gas source of the gas supplier, is the gas purchase volume of the mth gas source of the gas supplier, q mij The gas supply volume from the gas source of type m to the jth end user in the i-th supply area. The fixed cost is F, which mainly includes manufacturing costs and employee wages. The fixed cost F is set based on the actual situation of each gas source supplier and is not limited in this embodiment.

[0067] Furthermore, after obtaining the above total gas purchase cost parameters, fixed costs and decision parameters, the target revenue parameters can be further determined according to these parameters in this embodiment. Specifically, the calculation formula of the target revenue parameter is: Among them, V 总 is the target return parameter, p ij is the price parameter, b·s mij is the variable pipeline transportation cost parameter, p ij -b·s mij That is, the decision parameter, q mij is the gas supply from the m-type gas source to the j-th end user in the ith supply area, C 总 is the total gas purchase cost parameter, and F is the fixed cost.

[0068] After obtaining the target profit parameters, the final supply operation of the gas source to be supplied can be performed in this embodiment. The specific optimization process is to sort the profit size of each terminal user according to the corresponding supply area based on the target profit parameters; determine a number of target terminal users in each supply area based on the sorting results; and supply gas sources to the several target terminal users in each supply area.

[0069] It should be noted that, in this embodiment, terminal users with larger target revenue parameters can be selected for the target revenue parameters. In actual situations, the selection of terminal users also needs to be combined with the corresponding supply areas of each terminal user, that is, several target terminal users are selected in each supply area. These target terminal users are also the terminal users with higher revenue parameters in each supply area. In this embodiment, the number of several target terminal users can be 3 or 5, which can be set according to actual needs, and this is not limited in this embodiment. In addition to the above-mentioned screening of terminal users, the gas supply volume of the screened terminal users can also be adjusted. Specifically, the gas supply volume can be increased. The specific increment can be set according to actual needs, and this is not limited in this embodiment.

[0070] In addition, there will be incremental gas sources in the supply of gas sources. The strategy for gas suppliers to purchase incremental gas sources and optimize the sales of incremental natural gas resources to obtain maximum benefits can also refer to the above calculation method. For example, assuming that the additional gas source does not need to change the sales flow of the original gas source, that is, it corresponds to the same region and the same type of end users, that is, it does not change the sales profit of the original gas source, the additional gas source

[0071] ”'

[0072] The incremental profit generated is V 总 , if V 总 If V is greater than 0, then a new gas source should be added. 总 The calculation of the female party can refer to the above formula, where the amount of the new gas source plus the original q mij That is q' mij , q' mij Simply substitute the data into the calculations. If the sales flow changes, that is, if the pipeline distance, supply area, and end-user type change, adjustments can be made based on the new price parameters and gas supply distance.

[0073] In this embodiment, the gas source type of the gas source to be supplied is obtained; the price parameter is determined according to the gas source type; the gas supply distance between each terminal user is obtained; the variable pipeline cost parameter is determined according to the gas supply distance; and the supply of the gas source to be supplied is optimized based on the price parameter and the variable pipeline cost parameter. In the above manner, data analysis is performed on the price parameter and the variable pipeline cost parameter, and the gas source supply is adjusted based on the analysis results. The whole process does not involve human participation, which can improve the accuracy and rationality of gas source supply optimization.

[0074] In addition, an embodiment of the present invention further proposes a storage medium, on which a gas source supply optimization program is stored. When the gas source supply optimization program is executed by a processor, the steps of the gas source supply optimization method described above are implemented.

[0075] Reference Figure 2 , Figure 2 This is a structural block diagram of the first embodiment of the gas source supply optimization device of the present invention.

[0076] like Figure 2 As shown, the gas source supply optimization device proposed in the embodiment of the present invention includes:

[0077] An acquisition module 10 is used to acquire the gas source type of the gas source to be supplied;

[0078] A calculation module 20, used to determine a price parameter according to the gas source type;

[0079] The acquisition module 10 is used to acquire the gas supply distance between each terminal user;

[0080] The calculation module 20 is used to determine a variable pipeline transportation cost parameter according to the gas supply distance;

[0081] The optimization module 30 is used to optimize the supply of the gas source to be supplied based on the price parameter and the variable pipeline cost parameter.

[0082] In this embodiment, the gas source type of the gas source to be supplied is obtained; the price parameter is determined according to the gas source type; the gas supply distance between each terminal user is obtained; the variable pipeline cost parameter is determined according to the gas supply distance; and the supply of the gas source to be supplied is optimized based on the price parameter and the variable pipeline cost parameter. In the above manner, data analysis is performed on the price parameter and the variable pipeline cost parameter, and the gas source supply is adjusted based on the analysis results. The whole process does not involve human participation, which can improve the accuracy and rationality of gas source supply optimization.

[0083] In some embodiments, the calculation module 20 is used to determine the corresponding terminal users according to the gas source type;

[0084] Determine the supply area corresponding to each terminal user;

[0085] Corresponding price parameters are determined based on the supply area.

[0086] In some embodiments, the calculation module 20 is used to determine the gas supply volume of each terminal user corresponding to the gas source to be supplied;

[0087] Determining a variable pipeline transportation cost parameter per unit distance based on the gas supply volume;

[0088] The variable pipeline transportation cost parameter is determined according to the variable pipeline transportation cost parameter per unit distance and the gas supply distance.

[0089] In some embodiments, the relationship corresponding to the variable pipeline transportation cost parameter per unit distance is: Among them, B is the average unit turnover variable pipeline transportation cost of the whole network, q mij is the gas supply from the m-type gas source to the j-th end user in the ith supply area. The variable pipeline cost parameter b˙s mij ,s mij is the air supply distance.

[0090] In some embodiments, the optimization module 30 is used to determine a decision parameter according to the price parameter and the variable pipeline transportation cost parameter;

[0091] Determine a target benefit parameter based on the decision parameter and the preset parameter;

[0092] The supply of the gas source to be supplied is optimized based on the target yield parameter.

[0093] In some embodiments, the optimization module 30 is used to determine the total gas purchase cost parameter based on the gas supply volume of each end user corresponding to the gas source to be supplied and the preset parameters;

[0094] Determining fixed costs based on the preset parameters;

[0095] A target profit parameter is determined according to the total gas purchase cost parameter, the fixed cost and the decision parameter.

[0096] In some embodiments, the optimization module 30 is used to sort the revenue of each terminal user according to the corresponding supply area based on the target revenue parameter;

[0097] Determine a number of target end users in each supply area based on the ranking results;

[0098] Gas sources are supplied to a number of target terminal users within each supply area.

[0099] An embodiment of the present application also provides a gas source supply optimization device, including a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus, and the memory is used to store a gas source supply optimization program; the processor is used to implement the above-mentioned gas source supply optimization method when executing the program stored in the memory.

[0100] The communication bus mentioned in the gas supply optimization device can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The communication bus can be divided into an address bus, a data bus, a control bus, etc.

[0101] The communication interface is used for communication between the above-mentioned gas source supply optimization device and other devices.

[0102] The memory may include a random access memory (RAM) or a non-volatile memory (NVM), such as at least one disk memory. Optionally, the memory may also be at least one storage device located away from the aforementioned processor.

[0103] The above-mentioned processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, and discrete hardware components.

[0104] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrated. The available medium may be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state drive Solid State Disk (SSD)), etc.

[0105] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0106] Each embodiment in this specification is described in a related manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0107] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

[0108] It should be understood that the above is only an example and does not constitute any limitation on the technical solution of the present invention. In specific applications, technicians in this field can make settings as needed, and the present invention does not limit this.

[0109] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of the present invention. In practical applications, technicians in this field can select part or all of them according to actual needs to achieve the purpose of the present embodiment, and no limitation is made here.

[0110] In addition, for technical details that are not described in detail in this embodiment, reference can be made to the gas source supply optimization method provided in any embodiment of the present invention, and will not be repeated here.

[0111] In addition, it should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0112] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0113] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as a read-only memory (ROM) / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0114] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

[0115] It is understandable that the system provided by the embodiment of the present invention corresponds to the method provided by the embodiment of the present invention, and the explanation, examples and beneficial effects of the relevant contents can refer to the corresponding parts in the above method.

Claims

1. A method for optimizing gas supply, characterized in that: The gas source supply optimization method comprises: Obtain the gas source type of the gas source to be supplied; Determining price parameters according to the gas source type; Obtain the gas supply distance to each end user; Determining a variable pipeline transportation cost parameter according to the gas supply distance; The supply of the gas source to be supplied is optimized based on the price parameter and the variable pipeline cost parameter.

2. The gas source supply optimization method according to claim 1, characterized in that: The determining of the price parameter according to the gas source type includes: Determine the corresponding terminal users according to the gas source type; Determine the supply area corresponding to each terminal user; Corresponding price parameters are determined based on the supply area.

3. The gas source supply optimization method according to claim 1, characterized in that: The step of determining a variable pipeline transportation cost parameter according to the gas supply distance includes: Determine the gas supply volume for each terminal user corresponding to the gas source to be supplied; Determining a variable pipeline transportation cost parameter per unit distance based on the gas supply volume; The variable pipeline transportation cost parameter is determined according to the variable pipeline transportation cost parameter per unit distance and the gas supply distance.

4. The gas source supply optimization method according to claim 3, characterized in that: The relationship between the variable pipeline transportation cost parameter per unit distance and the following is: Among them, B is the average variable pipeline transportation cost per unit turnover of the whole network, q mij is the gas supply from the m-type gas source to the j-th end user in the ith supply area. The variable pipeline cost parameter b˙s mij ,s mij is the air supply distance.

5. The gas source supply optimization method according to claim 1, characterized in that: The optimizing the supply of the gas source to be supplied based on the price parameter and the variable pipeline transportation cost parameter comprises: Determining a decision parameter according to the price parameter and the variable pipeline transportation cost parameter; Determine a target benefit parameter based on the decision parameter and the preset parameter; The supply of the gas source to be supplied is optimized based on the target yield parameter.

6. The gas source supply optimization method according to claim 5, characterized in that: The determining of the target benefit parameter based on the decision parameter and the preset parameter includes: Determine a total gas purchase cost parameter based on the gas supply volume of each end user corresponding to the gas source to be supplied and preset parameters; determining fixed costs based on the preset parameters; A target profit parameter is determined according to the total gas purchase cost parameter, the fixed cost and the decision parameter.

7. The gas source supply optimization method according to claim 6, characterized in that: The optimizing the supply of the gas source to be supplied based on the target revenue parameter comprises: Based on the target revenue parameter, the terminal users are sorted according to their corresponding supply areas in terms of revenue; Determine a number of target end users in each supply area based on the ranking results; Gas sources are supplied to a number of target terminal users within each supply area.

8. A gas source supply optimization device, characterized in that: The gas source supply optimization device comprises: An acquisition module, used for acquiring the gas source type of the gas source to be supplied; A calculation module, used for determining price parameters according to the gas source type; The acquisition module is used to acquire the gas supply distance between each terminal user; The calculation module is used to determine a variable pipeline transportation cost parameter according to the gas supply distance; An optimization module is used to optimize the supply of the gas source to be supplied based on the price parameter and the variable pipeline cost parameter.

9. A gas source supply optimization device, characterized in that: The gas source supply optimization device comprises: a memory, a processor, and a gas source supply optimization program stored in the memory and executable on the processor, wherein the gas source supply optimization program is configured to implement the steps of the gas source supply optimization method as described in any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium stores a gas source supply optimization program, and when the gas source supply optimization program is executed by the processor, the steps of the gas source supply optimization method according to any one of claims 1 to 7 are implemented.

Images