Hydrogenation scheduling method and system based on big data

Abstract

The application relates to a hydrogenation scheduling method and system based on big data, and belongs to the field of intelligent scheduling. The method comprises the following steps: acquiring fixed order information in a preset period; the fixed order information comprises a fixed hydrogenation amount; acquiring reserved order information in the preset period; the reserved order information comprises a reserved hydrogenation amount and a reserved order quantity; predicting temporary reservation order information and external interference information in the preset period based on big data technology; the temporary reservation order information comprises a temporary reservation hydrogenation amount and a temporary reservation order quantity; generating a hydrogenation amount peak-valley graph of the preset period based on the fixed hydrogenation amount, the reserved hydrogenation amount and the temporary reservation hydrogenation amount; generating a hydrogen gas procurement plan based on the hydrogenation amount peak-valley graph and the external interference information; and obtaining a hydrogen gas expected inventory corresponding to each preset period based on the hydrogen gas procurement plan and displaying the hydrogen gas expected inventory. The application has the effect of effectively improving user experience.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of intelligent scheduling, in particular to a hydrogen refueling scheduling method and system based on big data. BACKGROUND

[0002] The hydrogen refueling station refers to a gas station for providing hydrogen for fuel cell vehicles. Currently, the hydrogen of the hydrogen refueling station is provided by a hydrogen production plant, that is, when the hydrogen refueling station is short of hydrogen reserves, a hydrogen procurement order is sent to the hydrogen production plant, and when the hydrogen production plant finishes producing hydrogen based on the hydrogen procurement order, the hydrogen is transported to the hydrogen refueling station.

[0003] The inventor believes that when the hydrogen production plant processes the hydrogen order, the hydrogen production plant may be short of hydrogen reserves, at this time, when the hydrogen refueling vehicle needs to be refueled, the hydrogen refueling vehicle cannot be refueled due to the shortage of hydrogen reserves in the hydrogen refueling station, which affects the experience of the hydrogen refueling user. SUMMARY

[0004] In order to effectively improve the user experience, the present application provides a hydrogen refueling scheduling method and system based on big data.

[0005] In the first aspect, the present application provides a hydrogen refueling scheduling method based on big data, which adopts the following technical scheme:

[0006] A hydrogen refueling scheduling method based on big data, comprising:

[0007] Obtaining fixed order information in a preset period; the fixed order information includes a fixed hydrogen refueling amount;

[0008] Obtaining reserved order information in the preset period; the reserved order information includes a reserved hydrogen refueling amount and a reserved order quantity;

[0009] Based on big data technology, predicting temporary reservation order information and external interference information in the preset period; the temporary reservation order information includes a temporary reservation hydrogen refueling amount and a temporary reservation order quantity;

[0010] Based on the fixed hydrogen refueling amount, the reserved hydrogen refueling amount and the temporary reservation hydrogen refueling amount, generating a hydrogen refueling amount peak-valley diagram for the preset period;

[0011] Based on the hydrogen refueling amount peak-valley diagram and the external interference information, generating a hydrogen procurement plan;

[0012] Based on the hydrogen procurement plan, obtaining a hydrogen expected inventory quantity corresponding to each of the preset periods and displaying the hydrogen expected inventory quantity.

[0013] By adopting the technical scheme, based on the hydrogen purchase plan, the hydrogen expected inventory corresponding to each preset time period is obtained and displayed, so that the user can directly see the hydrogen expected inventory, compared with the existing situation that the user cannot see the hydrogen storage amount of the hydrogen refueling station, the user can form a psychological expectation through the hydrogen expected inventory, so that the user can choose whether to go to the hydrogen refueling station for hydrogen refueling, without the user going to the hydrogen refueling station for hydrogen refueling without knowing the hydrogen inventory, thereby effectively improving the user experience.

[0014] Optionally, the generating the date-hydrogen refueling amount peak-valley diagram based on the fixed hydrogen refueling amount, the reserved hydrogen refueling amount and the temporary reserved hydrogen refueling amount comprises:

[0015] The fixed hydrogen refueling amount, the reserved hydrogen refueling amount and the temporary reserved hydrogen refueling amount are added to obtain the hydrogen refueling demand amount of each preset time period;

[0016] Based on the hydrogen refueling demand amount of each preset time period, a hydrogen refueling amount peak-valley diagram is drawn, wherein the hydrogen refueling amount peak-valley diagram comprises an x-axis and a y-axis, the x-axis is the preset time period, and the y-axis is the hydrogen refueling demand amount.

[0017] By adopting the technical scheme, the hydrogen refueling amount peak-valley diagram facilitates the hydrogen refueling station to directly understand the hydrogen refueling demand amount of each preset time period, thereby providing a reference for subsequent hydrogen purchase plans of the hydrogen refueling station.

[0018] Optionally, the generating the hydrogen purchase plan based on the hydrogen refueling amount peak-valley diagram and the external interference information comprises:

[0019] The hydrogen remaining amount of the hydrogen refueling station is obtained, and a current time point is obtained;

[0020] Based on a preset hydrogen consumption speed, an consumption duration when the hydrogen remaining amount is less than or equal to a preset hydrogen threshold value is estimated;

[0021] Taking the current time point as a starting time, the starting time is added to the consumption duration to obtain a hydrogen purchase time point;

[0022] Based on the hydrogen refueling amount peak-valley diagram, the hydrogen refueling demand amounts corresponding to a plurality of preset time periods are added to obtain a total hydrogen refueling demand amount in the consumption duration; wherein the consumption duration includes a plurality of preset time periods;

[0023] Based on the total hydrogen refueling demand amount and the hydrogen remaining amount, a hydrogen purchase amount is obtained;

[0024] According to the hydrogen purchase amount, the hydrogen purchase time point and the external interference information, a hydrogen purchase plan is obtained.

[0025] By adopting the technical scheme, the hydrogen purchase quantity is obtained from total hydrogen demand minus hydrogen gas surplus, the surplus refers to hydrogen gas reserves that are not completely sold out, the hydrogen purchase plan is obtained according to the hydrogen purchase quantity, a hydrogen purchase time point and external interference information, and the hydrogen purchase plan facilitates the hydrogen refueling station to purchase hydrogen gas based on the hydrogen purchase plan.

[0026] Optionally, the hydrogen purchase plan is obtained according to the hydrogen purchase quantity, the hydrogen purchase time point and the external interference information, and includes:

[0027] The hydrogen production rate of a hydrogen production supply vendor's hydrogen production process is obtained.

[0028] The hydrogen production duration is obtained according to the hydrogen purchase quantity and the hydrogen production rate.

[0029] It is determined whether the hydrogen production process is completed before the hydrogen purchase time period according to the hydrogen production duration.

[0030] If the hydrogen production process can be completed before the hydrogen purchase time period, a hydrogen production completion time point is obtained, and an idle duration between the hydrogen production completion time point and the hydrogen purchase time point is calculated.

[0031] The hydrogen purchase order is generated according to the idle duration, the hydrogen purchase quantity and the external interference information.

[0032] By adopting the technical scheme, the idle duration is a time period when the hydrogen production supply vendor does not produce hydrogen, and it is determined whether the hydrogen production process can be completed before the hydrogen purchase time period according to the hydrogen production duration, which is beneficial to the hydrogen refueling station to determine whether to generate the hydrogen purchase order.

[0033] Optionally, the hydrogen purchase order is generated according to the idle duration, the hydrogen purchase quantity and the external interference information, and includes:

[0034] The hydrogen transportation duration and the loading and unloading duration of the hydrogen production supply vendor are obtained.

[0035] The process duration is obtained by adding the hydrogen transportation duration and the loading and unloading duration.

[0036] It is determined whether the process duration is less than the idle duration.

[0037] If the process duration is less than the idle duration, the hydrogen transportation interference factor and the loading and unloading interference factor are obtained according to the external interference information.

[0038] The hydrogen transportation duration is corrected according to the hydrogen transportation interference factor to obtain a corrected hydrogen transportation duration.

[0039] The loading and unloading duration is corrected according to the loading and unloading interference factor to obtain a corrected loading and unloading duration.

[0040] determining whether the sum of the hydrogen transportation correction duration and the loading and unloading correction duration is less than the idle duration;

[0041] if the sum of the hydrogen transportation correction duration and the loading and unloading correction duration is less than the idle duration, determining that the hydrogen production supplier is a target supplier;

[0042] generating a hydrogen procurement order according to the target supplier and the hydrogen purchase amount.

[0043] By adopting the technical solution, the external interference information is beneficial to providing a more accurate judgment for the hydrogen refueling station to determine whether the hydrogen production process can be completed before the hydrogen purchase time period, that is, the external interference information can prolong the time for the hydrogen to reach the hydrogen refueling station.

[0044] Optionally, after obtaining the hydrogen estimated inventory corresponding to each preset time period based on the hydrogen procurement plan and displaying the hydrogen estimated inventory, the method further includes:

[0045] obtaining query information and a query time point of a user, wherein the query information includes a hydrogen refueling time period and a user-ordered hydrogen refueling amount; and encoding an intelligent terminal corresponding to the query information to obtain a unique code;

[0046] based on the unique code, sequentially ranking all the intelligent terminals that have been ordered before the query time point according to the order time, and obtaining a digital ranking of the intelligent terminal corresponding to the query information;

[0047] based on the hydrogen estimated inventory corresponding to the hydrogen refueling time period, the digital ranking, the ordered hydrogen refueling amount, the ordered order quantity, the temporary ordered hydrogen refueling amount, and the temporary ordered order quantity, obtaining an estimated hydrogen remaining inventory corresponding to the digital ranking, and displaying the estimated hydrogen remaining inventory on the intelligent terminal corresponding to the query information.

[0048] By adopting the technical solution, the digital ranking and the estimated hydrogen remaining inventory corresponding to the digital ranking are beneficial to providing a more intuitive judgment for the hydrogen refueling user, and the hydrogen refueling user can more clearly determine whether the hydrogen is sufficient through the digital ranking and the estimated hydrogen remaining inventory corresponding to the digital ranking, and then determine whether to go to the hydrogen refueling station for hydrogen refueling, thereby further enhancing the user experience.

[0049] Optionally, after obtaining the estimated hydrogen remaining inventory corresponding to the digital ranking and displaying the estimated hydrogen remaining inventory on the intelligent terminal corresponding to the query information, the method further includes:

[0050] determining whether the estimated hydrogen remaining inventory is less than a preset inventory threshold;

[0051] If the predicted hydrogen remaining inventory is less than the inventory threshold, an estimated hydrogen refueling time period is obtained, and prompt reservation information is sent to the intelligent terminal corresponding to the query information.

[0052] By adopting the above technical solution, if the predicted hydrogen remaining inventory is less than the inventory threshold, it indicates that the hydrogen refueling station is insufficient in hydrogen, at which time the estimated hydrogen refueling time period is obtained, and prompt reservation information is sent to the intelligent terminal corresponding to the query information, thereby facilitating the hydrogen refueling user to change the reservation time period based on the reservation information, and effectively enhancing the user experience.

[0053] Optionally, if the predicted hydrogen remaining inventory is less than the inventory threshold, the estimated hydrogen refueling time period is obtained, including:

[0054] In a number of preset time periods after the query time period corresponding to the query time point, the intelligent terminal corresponding to the query information is virtually encoded, and a virtual unique code is obtained;

[0055] Based on the virtual unique code, all intelligent terminals that have been reserved in the preset time period are virtually ranked in order of reservation time, and a virtual digital ranking of the intelligent terminal corresponding to the query information is obtained;

[0056] Based on the hydrogen inventory prediction, the virtual digital ranking, the reserved hydrogen refueling amount, the number of reserved orders, the temporary reserved hydrogen refueling amount, and the temporary reserved order quantity in each of the preset time periods after the query time period, a virtual predicted hydrogen remaining inventory corresponding to the virtual digital ranking is obtained;

[0057] It is determined whether the virtual predicted hydrogen remaining inventory is greater than or equal to the inventory threshold;

[0058] If so, it is stored in a preset candidate database;

[0059] In the estimated hydrogen refueling time period corresponding to a number of virtual predicted hydrogen remaining inventories greater than or equal to the inventory threshold in the candidate database, the estimated hydrogen refueling time period closest to the query time point is selected.

[0060] By adopting the above technical solution, if the predicted hydrogen remaining inventory is less than the inventory threshold, the estimated hydrogen refueling time period closest to the query time point is obtained based on the virtual coding, thereby facilitating the hydrogen refueling user to change the reservation time period based on the reservation information, and effectively enhancing the user experience.

[0061] In a second aspect, the hydrogen refueling scheduling system based on big data provided by the present application adopts the following technical solution.

[0062] A hydrogen refueling scheduling system based on big data comprises a memory and a processor, the memory stores a hydrogen refueling scheduling program based on big data, and the processor is configured to execute the hydrogen refueling scheduling method based on big data.

[0063] In summary, the present application has at least one of the following beneficial technical effects:

[0064] 1. The hydrogen pre-estimated inventory quantity is convenient for users to visually see and form a psychological expectation, so that users can choose whether to go to a hydrogen refueling station for hydrogen refueling, without needing users to go to a hydrogen refueling station for hydrogen refueling without knowing the hydrogen inventory quantity, thereby effectively improving the user experience.

[0065] 2. The external interference information is conducive to providing a more accurate judgment for the hydrogen refueling station on whether the hydrogen production process can be completed before the hydrogen purchase time period.

[0066] 3. The estimated hydrogen refueling time period is sent to the intelligent terminal corresponding to the query information, which is conducive to the hydrogen refueling user to change the reservation time period based on the reservation information, thereby effectively enhancing the user experience. BRIEF DESCRIPTION OF DRAWINGS

[0067] Figure 1 is a whole flowchart of a hydrogen refueling scheduling method based on big data according to an embodiment of the present application.

[0068] Figure 2 is a flowchart of generating a hydrogen purchase plan based on a hydrogen refueling amount peak-valley diagram and external interference information in a hydrogen refueling scheduling method based on big data according to an embodiment of the present application.

[0069] Figure 3 is a flowchart of generating a hydrogen purchase order according to an idle time length, a hydrogen purchase amount, and external interference information in a hydrogen refueling scheduling method based on big data according to an embodiment of the present application.

[0070] Figure 4 is a flowchart of obtaining an estimated hydrogen refueling time period if the pre-estimated hydrogen remaining inventory quantity is less than an inventory threshold in a hydrogen refueling scheduling method based on big data according to an embodiment of the present application. DETAILED DESCRIPTION

[0071] An embodiment of the present application discloses a hydrogen refueling scheduling method based on big data.

[0072] REFERENCE Figure 1 A hydrogen refueling scheduling method based on big data comprises:

[0073] S100, obtaining fixed order information in a preset time period; the fixed order information comprises a fixed hydrogen refueling amount.

[0074] In this embodiment, the fixed order refers to an order with fixed hydrogenation period and fixed hydrogenation amount, such as a hydrogenation order of a bus company or a personal order with fixed hydrogenation period and fixed hydrogenation amount. The fixed hydrogenation amount refers to the total amount of required hydrogen for fixed hydrogenation.

[0075] S200, obtaining information of the reserved orders in a preset period; the information of the reserved orders includes reserved hydrogenation amount and number of the reserved orders.

[0076] It should be noted that the hydrogenation stations in this embodiment are managed by reservation system, and the information of the reserved orders refers to the orders reserved in the intelligent terminal. Specifically, the intelligent terminal can be a mobile phone, a tablet computer or a computer.

[0077] S300, predicting temporary reservation order information and external interference information in the preset period based on big data technology; the temporary reservation order information includes temporary reservation hydrogenation amount and number of temporary reservation orders;

[0078] The external interference information can be weather interference factors or accidental interference factors that interfere with the business of the hydrogenation station. The big data technology refers to a technology for predicting future or other uncertain events by analyzing current and historical data based on prediction models, machine learning or data mining.

[0079] Based on the big data technology, the past temporary reservation order information and the past external interference information can be analyzed, and the hydrogenation station can obtain the predicted temporary order information and the external interference information in the preset period according to the past temporary reservation order information. Specifically, how to predict based on big data technology is not covered by this application, so it will not be described here.

[0080] S400, generating a hydrogenation amount peak-valley graph of the preset period based on the fixed hydrogenation amount, the reserved hydrogenation amount and the temporary reservation hydrogenation amount;

[0081] Specifically, based on the fixed hydrogenation amount, the reserved hydrogenation amount and the temporary reservation hydrogenation amount, a date hydrogenation amount peak-valley graph is generated, which includes:

[0082] S410, adding the fixed hydrogenation amount, the reserved hydrogenation amount and the temporary reservation hydrogenation amount to obtain the hydrogenation demand amount of each preset period;

[0083] The hydrogenation demand amount is the sum of the fixed hydrogenation amount, the reserved hydrogenation amount and the temporary reservation hydrogenation amount. In this embodiment, the length of the preset period is in hours. For example, 8:00 to 9:00 is a preset period, and the length of the period is 1 hour.

[0084] S420, drawing a hydrogenation amount peak-valley graph based on the hydrogenation demand amount of each preset period; wherein the hydrogenation amount peak-valley graph includes x-axis and y-axis, the x-axis is the preset period, and the y-axis is the hydrogenation demand amount.

[0085] The x-axis of the hydrogenation amount peak-valley graph is a preset time period, and the y-axis is a hydrogenation demand amount, so that the hydrogenation station can directly view the hydrogenation demand amount corresponding to the preset time period.

[0086] Referring to Figure 1 , S500, based on the hydrogenation amount peak-valley graph and external interference information, a hydrogen procurement plan is generated.

[0087] Since the external interference information can affect the hydrogen procurement plan, the hydrogen procurement plan is generated based on the hydrogenation amount peak-valley graph and the external interference information.

[0088] Referring to Figure 2 , based on the hydrogenation amount peak-valley graph and external interference information, a hydrogen procurement plan is generated, comprising:

[0089] S510, the hydrogen remaining amount of the hydrogenation station is obtained, and the current time point is obtained.

[0090] The hydrogen remaining amount refers to the amount of hydrogen remaining at the current time point. In specific implementation, the hydrogen remaining amount can be obtained through the hydrogen storage device of the hydrogenation station.

[0091] S520, based on a preset hydrogen consumption speed, an consumption duration when the hydrogen remaining amount is less than or equal to a preset hydrogen threshold value is estimated;

[0092] The hydrogen threshold value refers to the amount of hydrogen that is insufficient to support normal hydrogenation business of the hydrogenation station. When the hydrogen remaining amount is less than or equal to the hydrogen threshold value, it indicates that the hydrogenation station needs to be hydrogenated in time; the consumption duration refers to the duration from the current time point to the time when the hydrogen remaining amount is less than or equal to the preset hydrogen threshold value.

[0093] S530, taking the current time point as a starting time, the starting time is added to the consumption duration to obtain a hydrogen purchase time point.

[0094] The current time point in this embodiment, in specific implementation, includes a specific date, so as to facilitate calculation. For example, the current time point is 12:00 on May 5, and the consumption duration is 24 hours, so the hydrogen purchase time point is 12:00 on June 6.

[0095] S540, based on the hydrogenation amount peak-valley graph, the hydrogenation demand amounts corresponding to a plurality of preset time periods are added to obtain a total hydrogenation demand amount in the consumption duration; wherein the consumption duration includes a plurality of preset time periods.

[0096] The total hydrogenation demand in the consumption time length is obtained by adding the hydrogenation demands corresponding to a plurality of preset time periods, for example, if the hydrogenation demand from 7:00 to 8:00 is 20L, the hydrogenation demand from 8:00 to 9:00 is 50L, and the hydrogenation demand from 9:00 to 10:00 is 80L, and the consumption time length is 3 hours, then the total hydrogenation demand in the consumption time length is 20L+50L+80L=150L.

[0097] S550, obtaining the hydrogen purchase amount based on the total hydrogenation demand and the hydrogen remaining amount.

[0098] The hydrogen purchase amount is the total hydrogenation demand minus the hydrogen remaining amount.

[0099] S560, obtaining the hydrogen procurement plan according to the hydrogen purchase amount, the hydrogen purchase time point and the external interference information.

[0100] The hydrogen refueling station procures based on the hydrogen procurement plan.

[0101] Specifically, the hydrogen procurement plan is obtained according to the hydrogen purchase amount, the hydrogen purchase time point and the external interference information, including:

[0102] S561, obtaining the hydrogen production rate of the hydrogen production process of the hydrogen production supplier.

[0103] The hydrogen production rate of the hydrogen production process of the hydrogen production supplier is provided by the hydrogen production supplier, and the hydrogen production supplier can input the hydrogen production rate into the platform, and the intelligent terminal can obtain the hydrogen production rate of the hydrogen production process of the hydrogen production supplier through the platform.

[0104] S562, obtaining the hydrogen production time length according to the hydrogen purchase amount and the hydrogen production rate.

[0105] The hydrogen production time length is obtained by dividing the hydrogen purchase amount by the hydrogen production rate.

[0106] S563, judging whether the hydrogen production process is completed before the hydrogen purchase time period according to the hydrogen production time length.

[0107] S564, if the hydrogen production process can be completed before the hydrogen purchase time period, obtaining the hydrogen production completion time point, and calculating the idle time length between the hydrogen production completion time point and the hydrogen purchase time point.

[0108] According to the hydrogen production time length, it is judged whether the hydrogen production process is completed before the hydrogen purchase time period, that is, the hydrogen production time length is compared with the consumption time length, if the hydrogen production time length is greater than or equal to the consumption time length, it is determined that the hydrogen production process cannot be completed before the hydrogen purchase time period; if the hydrogen production time length is less than the consumption time length, it is determined that the hydrogen production process can be completed before the hydrogen purchase time period.

[0109] The idle time length refers to the consumption time length minus the hydrogen production time length minus the loading and unloading time length.

[0110] If the hydrogen production process cannot be completed before the hydrogen purchase period, no hydrogen purchase order is generated, and the hydrogen refueling station can select the remaining hydrogen production suppliers to ensure the normal business of the hydrogen refueling station.

[0111] S565、According to the idle time length, the hydrogen purchase amount, and the external interference information, a hydrogen purchase order is generated.

[0112] Referring to Figure 3 According to the idle time length, the hydrogen purchase amount, and the external interference information, a hydrogen purchase order is generated, including:

[0113] S5651, the hydrogen transportation time length and the loading and unloading time length preset by the hydrogen production supplier are obtained.

[0114] The hydrogen transportation time length and the loading and unloading time length are recorded by the hydrogen production supplier in the platform in advance and are obtained by the intelligent terminal of the hydrogen refueling station.

[0115] S5652, the hydrogen transportation time length and the loading and unloading time length are added to obtain the process time length.

[0116] S5653, it is judged whether the process time length is less than the idle time length.

[0117] S5654, if the process time length is less than the idle time length, the hydrogen transportation interference factor and the loading and unloading interference factor are obtained according to the external interference information.

[0118] If the process time length is less than the idle time length, it indicates that there is an external interference factor, which causes the process time length to be less than the idle time length. At this time, the intelligent terminal obtains the hydrogen transportation interference factor and the loading and unloading interference factor according to the external interference information.

[0119] S5655, the hydrogen transportation time length is corrected according to the hydrogen transportation interference factor to obtain the corrected hydrogen transportation time length.

[0120] S5656, the loading and unloading time length is corrected according to the loading and unloading interference factor to obtain the corrected loading and unloading time length.

[0121] Because of the interference factor, the hydrogen transportation time length and the loading and unloading time length need to be corrected, so that the estimation of the idle time length is more accurate.

[0122] Specifically, the hydrogen transportation interference time length can be estimated based on the hydrogen transportation interference factor and the loading and unloading interference time length can be estimated based on the loading and unloading interference factor based on big data technology. The hydrogen transportation time length is corrected by adding the original hydrogen transportation time length to the hydrogen transportation interference time length; and the loading and unloading time length is corrected by adding the original loading and unloading time length to the loading and unloading interference time length.

[0123] S5657, it is judged whether the sum of the corrected hydrogen transportation time length and the corrected loading and unloading time length is less than the idle time length.

[0124] S5658, if the sum of the hydrogen transportation correction time length and the loading and unloading correction time length is less than the idle time length, the hydrogen production supplier is determined as the target supplier.

[0125] If the sum of the hydrogen transportation correction time length and the loading and unloading correction time length is less than the idle time length, it indicates that the hydrogen production process can be completed before the hydrogen purchase period, so the hydrogen production supplier is determined as the target supplier.

[0126] If the sum of the hydrogen transportation correction time length and the loading and unloading correction time length is greater than or equal to the idle time length, it indicates that the hydrogen production process cannot be completed before the hydrogen purchase period, so no hydrogen purchase order is generated at this time, and the hydrogen filling station can select the remaining hydrogen production suppliers to ensure the normal business of the hydrogen filling station.

[0127] S5659, generating a hydrogen purchase order according to the target supplier and the hydrogen purchase quantity.

[0128] In this embodiment, the hydrogen purchase order includes the target supplier name, address, and hydrogen purchase quantity required by the hydrogen filling station.

[0129] Referring to Figure 1 , S600, based on the hydrogen purchase plan, obtaining the hydrogen expected inventory corresponding to each preset period and displaying.

[0130] Based on the hydrogen purchase plan, the hydrogen expected inventory corresponding to each preset period is obtained and displayed, which is convenient for the user to directly view the hydrogen expected inventory. Compared with the existing situation that the user cannot see the hydrogen storage quantity of the hydrogen filling station, it is beneficial to make the user form a psychological expectation through the hydrogen expected inventory, so that the user can choose whether to go to the hydrogen filling station for hydrogen refueling, without making the user go to the hydrogen filling station for hydrogen refueling without knowing the hydrogen storage quantity, thereby effectively improving the user experience.

[0131] Specifically, after obtaining the hydrogen expected inventory corresponding to each preset period based on the hydrogen purchase plan and displaying, it includes:

[0132] S1, obtaining the query information and query time point of the user, wherein the query information includes the hydrogen filling period and the user's reserved hydrogen quantity; and encoding the intelligent terminal corresponding to the query information to obtain a unique code.

[0133] The unique code corresponds to the intelligent terminal one by one, and the query information means that the user queries the hydrogen expected inventory of the hydrogen filling station based on the intelligent terminal. When the user enters the query, the intelligent terminal of the hydrogen filling station encodes the intelligent terminal corresponding to the query information.

[0134] S2, based on the unique code, ranking all intelligent terminals that have been reserved before the query time point in order of reservation time, and obtaining the digital ranking of the intelligent terminal corresponding to the query information;

[0135] In a specific implementation, the ranking is only for the day.

[0136] For example, if 15 people have made reservations before the user makes the query, the user's digital ranking is 16, in which the reservations of all the intelligent terminals before the query time point are ranked according to the reservation time.

[0137] S3, based on the hydrogen gas expected inventory corresponding to the hydrogenation period, the digital ranking, the hydrogenation amount of the reservation, the number of orders of the reservation, the temporary hydrogenation amount and the number of temporary orders, the expected remaining hydrogen gas inventory corresponding to the digital ranking is obtained and displayed on the intelligent terminal corresponding to the query information.

[0138] The expected remaining hydrogen gas inventory = hydrogen gas expected inventory - hydrogenation amount of reservation x number of orders of reservation - temporary hydrogenation amount x temporary order quantity.

[0139] After obtaining the expected remaining hydrogen gas inventory corresponding to the digital ranking and displaying it on the intelligent terminal corresponding to the query information, it includes:

[0140] S4, judging whether the expected remaining hydrogen gas inventory is less than the preset inventory threshold;

[0141] S5, if the expected remaining hydrogen gas inventory is less than the inventory threshold, the estimated hydrogenation period is obtained, and the prompt reservation information is sent to the intelligent terminal corresponding to the query information.

[0142] If the hydrogen gas remaining inventory is less than the inventory threshold, it indicates that the user may not be able to add hydrogen at the hydrogenation station at this time, for example, if the inventory threshold is 5L and the expected hydrogen gas remaining inventory is 3L, since 3L < 5L, the user is not recommended to go to the hydrogenation station to add hydrogen at this time, and the intelligent terminal obtains the estimated hydrogenation period and sends the prompt reservation information to the intelligent terminal corresponding to the query information.

[0143] Referring to Figure 4 , if the expected remaining hydrogen gas inventory is less than the inventory threshold, the estimated hydrogenation period is obtained, including:

[0144] S6, in a number of preset time periods after the query period corresponding to the query time point, the intelligent terminal corresponding to the query information is virtually encoded, and a virtual unique code is obtained;

[0145] S7, based on the virtual unique code, the virtual ranking of all the intelligent terminals that have been reserved in the preset time period is sequentially ranked according to the reservation time order, and the virtual digital ranking of the intelligent terminal corresponding to the query information is obtained;

[0146] S8, obtaining a virtual predicted hydrogen remaining inventory corresponding to the virtual digital ranking based on the hydrogen predicted inventory corresponding to each preset period after the query period, the virtual digital ranking, the reserved hydrogenation amount, the reserved order quantity, the temporary reserved hydrogenation amount and the temporary reserved order quantity.

[0147] Steps S6 to S8 are similar to steps S1 to S3, and steps S6 to S8 are exemplified as follows.

[0148] The virtual unique code refers to the generated code that does not occupy the digital ranking, that is, the virtual ranking is performed, for example, it is obtained that there are 20 people in the queue in the preset time period, the virtual digital ranking is 21, and the digital ranking of a subsequent user is still 21, that is, the virtual code does not occupy the digital ranking.

[0149] The virtual predicted hydrogen remaining inventory = hydrogen predicted inventory - reserved hydrogenation amount × reserved order quantity - temporary reserved hydrogenation amount × temporary reserved order quantity.

[0150] S9, judging whether the virtual predicted hydrogen remaining inventory is greater than or equal to the inventory threshold.

[0151] S10, if yes, storing in a preset candidate database;

[0152] If the virtual predicted hydrogen remaining inventory is greater than the inventory threshold, it indicates that the user can go to the hydrogenation station to hydrogenate at this time, and the virtual predicted hydrogen remaining inventory obtained by the intelligent terminal is a plurality of groups. In the specific implementation, the customer first selects the date, and then selects the preset period corresponding to the date, so in this embodiment, the plurality of virtual predicted hydrogen remaining inventories only represent the virtual predicted hydrogen remaining amount corresponding to the period when the user can hydrogenate on the same day.

[0153] S11, screening the estimated hydrogenation period closest to the query time point from the estimated hydrogenation periods corresponding to the plurality of virtual predicted hydrogen remaining inventories greater than or equal to the inventory threshold in the candidate database.

[0154] Screening the estimated hydrogenation period closest to the query time point facilitates the user to hydrogenate based on the estimated hydrogenation period closest to the query time point in time, and improves the user experience.

[0155] The implementation principle of the hydrogenation scheduling method based on big data in the embodiment of the application is that based on the hydrogen procurement plan, the hydrogen predicted inventory corresponding to each preset period is obtained and displayed, which facilitates the user to visually see the hydrogen predicted inventory. Compared with the existing situation that the user cannot see the hydrogen storage amount of the hydrogenation station, it is beneficial to make the user form a psychological expectation through the hydrogen predicted inventory, so that the user can voluntarily choose whether to go to the hydrogenation station to hydrogenate, without making the user go to the hydrogenation station to hydrogenate without knowing the hydrogen inventory, thereby effectively improving the user experience.

[0156] The embodiment of the present application also discloses a big data-based hydrogenation scheduling system.

[0157] The big data-based hydrogenation scheduling system comprises a memory and a processor, the memory stores a big data-based hydrogenation scheduling program, and the processor is used for adopting the big data-based hydrogenation scheduling method when the program is executed.

[0158] The above are preferred embodiments of the present application, and are not used to limit the protection scope of the present application, so: all equivalent changes made according to the structure, shape, principle of the present application should be covered in the protection scope of the present application.

Claims

1. A big data based hydrogenation scheduling method, characterized in that, The method comprises the following steps: acquiring fixed order information within a preset period; the fixed order information includes fixed hydrogenation amount; acquiring pre-ordered order information within the preset period; the pre-ordered order information includes pre-ordered hydrogenation amount and pre-ordered order quantity; based on big data technology, predicting temporary pre-ordered order information and external interference information within the preset period; the temporary pre-ordered order information includes temporary pre-ordered hydrogenation amount and temporary pre-ordered order quantity; based on the fixed hydrogenation amount, the pre-ordered hydrogenation amount and the temporary pre-ordered hydrogenation amount, generating a hydrogenation amount peak-valley graph of the preset period; based on the hydrogenation amount peak-valley graph and the external interference information, generating a hydrogen gas procurement plan; based on the hydrogen gas procurement plan, obtaining and displaying the hydrogen gas expected inventory corresponding to each of the preset periods; wherein, after the step of obtaining and displaying the hydrogen gas expected inventory corresponding to each of the preset periods based on the hydrogen gas procurement plan, the method comprises the following steps: acquiring query information and a query time point of a user, wherein the query information includes a hydrogenation period and a user pre-ordered hydrogenation amount; and encoding the intelligent terminal corresponding to the query information to obtain a unique code; based on the unique code, sequentially ranking all the intelligent terminals that have been pre-ordered before the query time point according to the pre-order time, and obtaining the digital ranking of the intelligent terminal corresponding to the query information; based on the hydrogen gas expected inventory corresponding to the hydrogenation period, the digital ranking, the pre-ordered hydrogenation amount, the pre-ordered order quantity, the temporary pre-ordered hydrogenation amount and the temporary pre-ordered order quantity, obtaining the expected hydrogen gas remaining inventory corresponding to the digital ranking, and displaying it on the intelligent terminal corresponding to the query information; wherein, after the step of obtaining the expected hydrogen gas remaining inventory corresponding to the digital ranking and displaying it on the intelligent terminal corresponding to the query information, the method comprises the following steps: determining whether the expected hydrogen gas remaining inventory is less than a preset inventory threshold value; if the expected hydrogen gas remaining inventory is less than the inventory threshold value, obtaining an estimated hydrogenation period, and sending a pre-order information prompt to the intelligent terminal corresponding to the query information; wherein, the step of obtaining an estimated hydrogenation period if the expected hydrogen gas remaining inventory is less than the inventory threshold value comprises the following steps: virtually encoding the intelligent terminal corresponding to the query information in a number of the preset periods after the query period corresponding to the query time point, and obtaining a virtual unique code; based on the virtual unique code, sequentially virtually ranking all the intelligent terminals that have been pre-ordered in the preset period according to the pre-order time sequence, and obtaining the virtual digital ranking of the intelligent terminal corresponding to the query information; based on the hydrogen gas expected inventory corresponding to each of the preset periods after the query period, the virtual digital ranking, the pre-ordered hydrogenation amount, the pre-ordered order quantity, the temporary pre-ordered hydrogenation amount and the temporary pre-ordered order quantity, obtaining the virtual expected hydrogen gas remaining inventory corresponding to the virtual digital ranking; determining whether the virtual expected hydrogen gas remaining inventory is greater than or equal to the inventory threshold value; If yes, store to a preset candidate database; In the estimated hydrogenation time periods corresponding to the virtual predicted hydrogen remaining inventory greater than or equal to the inventory threshold in the candidate database, the closest estimated hydrogenation time period to the query time point is screened.

2. The big data based hydrogenation scheduling method of claim 1, wherein, The generating of the date hydrogenation amount peak-valley graph based on the fixed hydrogenation amount, the already reserved hydrogenation amount and the temporary reserved hydrogenation amount comprises: The fixed hydrogenation amount, the already reserved hydrogenation amount and the temporary reserved hydrogenation amount are added to obtain the hydrogenation demand amount of each preset time period; Based on the hydrogenation demand amount of each preset time period, a hydrogenation amount peak-valley graph is drawn; wherein the hydrogenation amount peak-valley graph comprises an x-axis and a y-axis, the x-axis is the preset time period, and the y-axis is the hydrogenation demand amount.

3. The big data based hydrogenation scheduling method of claim 2, wherein, The generating of the hydrogen procurement plan based on the hydrogenation amount peak-valley graph and the external interference information comprises: Obtaining the hydrogen remaining amount of a hydrogenation station and the current time point; Based on a preset hydrogen consumption speed, the consumption duration when the hydrogen remaining amount is less than or equal to a preset hydrogen threshold is estimated; Taking the current time point as the starting time, the starting time plus the consumption duration is taken to obtain the hydrogen purchase time point; Based on the hydrogenation amount peak-valley graph, the hydrogenation demand amounts corresponding to a plurality of preset time periods are added to obtain the total hydrogenation demand amount in the consumption duration; wherein the consumption duration includes a plurality of preset time periods; Based on the total hydrogenation demand amount and the hydrogen remaining amount, the hydrogen purchase amount is obtained; According to the hydrogen purchase amount, the hydrogen purchase time point and the external interference information, the hydrogen procurement plan is obtained.

4. The big data-based hydrogenation scheduling method according to claim 3, characterized in that, The obtaining of the hydrogen procurement plan according to the hydrogen purchase amount, the hydrogen purchase time point and the external interference information comprises: Obtaining the hydrogen production rate of the hydrogen production process of a hydrogen production supplier; According to the hydrogen purchase amount and the hydrogen production rate, the hydrogen production duration is obtained; According to the hydrogen production duration, it is judged whether the hydrogen production process is completed before the hydrogen purchase time period; If the hydrogen production process can be completed before the hydrogen purchase time period, the hydrogen production completion time point is obtained, and the idle duration between the hydrogen production completion time point and the hydrogen purchase time point is calculated; According to the idle duration, the hydrogen purchase amount and the external interference information, the hydrogen procurement order is generated.

5. The big data based hydrogenation scheduling method of claim 4, wherein, The generation of the hydrogen procurement order according to the idle duration, the hydrogen purchase amount and the external interference information comprises: Obtaining the preset hydrogen transportation duration and the loading and unloading duration of the hydrogen production supplier; Adding the hydrogen transportation duration and the loading and unloading duration to obtain the process duration; Judging whether the process duration is less than the idle duration; If the process duration is less than the idle duration, the hydrogen transportation interference factor and the loading and unloading interference factor are obtained according to the external interference information; According to the hydrogen transportation interference factor, the hydrogen transportation duration is corrected to obtain the corrected hydrogen transportation duration; According to the loading and unloading interference factor, the loading and unloading duration is corrected to obtain the corrected loading and unloading duration; Judging whether the sum of the corrected hydrogen transportation duration and the corrected loading and unloading duration is less than the idle duration; If the sum of the corrected hydrogen transportation duration and the corrected loading and unloading duration is less than the idle duration, the hydrogen production supplier is determined as the target supplier. A hydrogen procurement order is generated according to the target manufacturer and the hydrogen purchase amount.

6. A big data based hydrogen scheduling system, characterized in that: The method comprises a memory and a processor, the memory stores a big data-based hydrogen scheduling program, and the processor is used to execute the program and adopt any one of claims 1-5.

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