CN110705782A - System for estimating gas ordering demand of bottled gas user based on Internet of things and big data - Google Patents

System for estimating gas ordering demand of bottled gas user based on Internet of things and big data Download PDF

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CN110705782A
CN110705782A CN201910928718.XA CN201910928718A CN110705782A CN 110705782 A CN110705782 A CN 110705782A CN 201910928718 A CN201910928718 A CN 201910928718A CN 110705782 A CN110705782 A CN 110705782A
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user
demand
big data
things
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吴卫
南秀娟
李文炜
田永
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Pingan Gas (hangzhou) Internet Of Things Technology Co Ltd
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Pingan Gas (hangzhou) Internet Of Things Technology Co Ltd
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Abstract

The invention discloses a system for estimating gas ordering demand of bottled gas users based on the Internet of things and big data, which belongs to the field of bottled gas and comprises a main server and a mobile distribution terminal, wherein a timer and a plurality of user information recording modules are arranged in the main server, and the nth day gas bottle demand default number A of corresponding users is recorded in each user information recording modulenThe main server will AnDelivered to the mobile distribution terminal and then the mobile distribution terminal AnGo on nuclear marketing and generate BnThe timer sets the automatic generation period T, B of the ordernTo AnAnd An+TValue assignment is performed，After the assignment is finished, if the user has extra requirements, the number of the gas cylinders is additionally increased to C on the user sitenAnd the order is checked and sold, then Bn+CnThe actual required number of gas bottles for the nth day of the user, Bn+CnTo AnAnd An+TAnd carrying out assignment again. Basic data volume can increase, later stage air feed only need communicate information such as delivery time can, reduce the approval demand to the gas cylinder demand, also be convenient for simultaneously the air supply station predicts the demand of supplying gas afterwards, is convenient for overall planning.

Description

System for estimating gas ordering demand of bottled gas user based on Internet of things and big data
[ technical field ] A method for producing a semiconductor device
The invention relates to a system for estimating gas ordering demand of a bottled gas user based on the Internet of things and big data, belongs to the field of bottled gas, and mainly aims at commercial users.
[ background of the invention ]
At present, the business user ordering method in daily life is to call to inform the gas supplier or the supply station to order, or the gas supplier sends gas to the user's home with his own experience. However, the number of the gas cylinders ordered by the commercial users is constantly changing every day, every month, especially in the high-demand season and the off-season, the supply station cannot know the gas consumption condition of each user every day, every week, every month, every season and every year, and cannot accurately arrange the gas consumption amount, the budget for collection and the like of the next year, so a method is needed to guarantee the gas consumption stability problem.
[ summary of the invention ]
The invention aims to overcome the defects of the prior art and provides a system for predicting gas ordering requirements of bottled gas users based on the Internet of things and big data, which is used for predicting the requirements of gas cylinders of customers.
The technical scheme adopted by the invention is as follows:
a system for estimating gas ordering requirements of bottled gas users based on the Internet of things and big data comprises a main server and a mobile distribution terminal, wherein a timer and a plurality of user information recording modules are arranged in the main server, and the nth day gas bottle requirement default number A of corresponding users is recorded in each user information recording modulenThe main server will AnDelivered to the mobile distribution terminal and then the mobile distribution terminal AnGo on nuclear marketing and generate BnThe timer sets the automatic generation period T, B of the ordernTo AnAnd An+TCarrying out assignment, and if the user has extra requirements after the assignment is finished, additionally increasing the number of the gas cylinders to C on the user sitenAnd the order is checked and sold, then Bn+CnThe actual required number of gas bottles for the nth day of the user, Bn+CnTo AnAnd An+TAnd carrying out assignment again.
The invention has the beneficial effects that:
the user information recording module records the information such as the address requirement of the user, and the main server generates AnAnd recorded by the user information recording module, and utilizes B through actual communication with the clientnTo AnPerforming correction update to generate A for the main server of the next period by the updated valuen+TIs corrected, as the number of iterations increases, A before the iterationn+mTAnd generated Bn+mTThe difference can be more and more littleer between, and basic data volume can increase, later stage air feed only need communicate the information such as delivery time can, reduce the approval demand to the gas cylinder demand, also be convenient for simultaneously the air supply station predicts the demand of supplying gas afterwards, is convenient for overall planning. CnThen to AnThe numerical value update is further supplemented, so that the user can conveniently place the order by himself, and the B is utilized under the condition that the user has extra requirementsn+CnSubstitution of BnTo AnAnd An+TCarry out assignment, BnAnd CnAfter the core-pinning, make AnCompletely match with the actual demand of the user on the nth day, and is applied to An+TIs more accurate than the prediction of B generated in the next distribution verificationn+TThe difference between them is smaller.
The mobile distribution terminal is a mobile phone, the mobile phone is provided with the delivery app, and a distributor confirms the verification and cancellation A by communicating with a user phone or confirming the utilization of the app on sitenAnd generate Bn。
Invention AnBy telephone or on-site confirmation between the user and the distributor, AnB generated after verificationnIf 0, the user is not delivered on the nth day.
The user of the invention generates C through the air ordering card or the WeChatn，CnAnd checking and canceling through a mobile distribution terminal or a main server.
Mobile distribution terminal generation B of the inventionnGenerating B simultaneouslynOrder number, air card or WeChat generation CnIs generated into CnOrder number of (B)nIndependent of CnThe order number of (1).
The specification number i of the gas cylinders required by the user, and the demanded number of the x-th gas cylinders on the nth day of the user are Anx，An＝ΣAnx, mobile distribution terminal pair AnxGeneration of B after verificationnx，Bn＝ΣBnxThe x-th gas cylinder demand number C added on the user sitenx，Cn＝ΣCnx，x∈(1,2…i)。
The default number of the air bottles in 7 days from the nth day in the year is An，An+1，An+2，An+3，An+4，An+5，An+6The default number of air bottle requirements in 7 days from the nth day in the next year is An’，An+1’，An+2’，An+3’，An+4’，An+5’，An+6', if (A)n+An+1+An+2+An+3+An+4+An+5+An+6)-(An’+An+1’+An+2’+An+3’+An+4’+An+5’+An+6') | is greater than 2, then An，An+1，An+2，An+3，An+4，An+5，An+6Respectively replace An’，An+1’，An+2’，An+3’，An+4’，An+5’，An+6’。
In the invention, D is remained on the air vehicle when the user is at the placenA gas cylinder DnGreater than A before nuclear pinningnThe actual demand of the user is EnIf E isnNot more than DnThen A isnAfter nuclear marketing Bn＝EnIf E isnGreater than DnThen A isnAfter nuclear marketing Bn＝Dn，Cn＝En-Dn。
Other features and advantages of the present invention will be disclosed in more detail in the following detailed description of the invention and the accompanying drawings.
[ description of the drawings ]
The invention is further described below with reference to the accompanying drawings:
fig. 1 is a block diagram of a system for estimating gas demand of a bottled gas user based on the internet of things and big data according to embodiments 1 to 8 of the present invention.
[ detailed description ] embodiments
The technical solutions of the embodiments of the present invention are explained and illustrated below with reference to the drawings of the embodiments of the present invention, but the following embodiments are only preferred embodiments of the present invention, and not all embodiments. Based on the embodiments in the implementation, other embodiments obtained by those skilled in the art without any creative effort belong to the protection scope of the present invention.
In the following description, the appearances of the indicating orientation or positional relationship such as the terms "inner", "outer", "upper", "lower", "left", "right", etc. are only for convenience in describing the embodiments and for simplicity in description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and are not to be construed as limiting the present invention.
The system for estimating gas ordering requirements of bottled gas users based on the internet of things and big data shown in the embodiments 1-8 comprises a main server 1 and a mobile distribution terminal 6.
The mobile distribution terminal 6 is held by a gas supplier, and generally, the mobile distribution terminal 6 is a mobile phone on which an app for gas supply is installed.
The main server 1 is internally provided with a timer 7, a plurality of user information recording modules 2, an order module 3, an air card module 4 and a distributor module 5.
The user information recording module 2 has functions of recording user information and addresses, recording past air supply, generating default number required by the gas cylinder on the day and the like.
The order module 3 is used for generating and recording orders generated when each user places the orders by himself and order information automatically generated by the main server 1.
The gas card module 4 is used for recording the gas card ordering information on the hand of the user so as to facilitate the order module 3 to generate a corresponding order.
The distributor module 5 records the distributor information of the corresponding user and the distribution information of the corresponding distributor, so as to conveniently send the order to the mobile distribution terminal 6.
The timer 7 is used for controlling the order module 3 to automatically generate orders at regular time.
Example 1:
on the nth day after the gas cylinder requirement determining system starts to be started, the user information recording module 2 first automatically generates the default number a of gas cylinder requirements corresponding to the nth day of the usernThe main server 1 defaults the number A of the required gas cylindersnThe information recorded by the distributor module 5 is sent to the app of the mobile phone corresponding to the distributor, and the order module 3 automatically generates the information corresponding to AnThe order of (1).
The distribution personnel communicates with the customer through a telephone or confirms to the site of the customer's home, and then uses the app to pair AnAnd AnThe corresponding order is checked and sold, and B is generatedn，BnI.e. the number of first actual deliveries by the deliverer for the nth day of the user.
In this example BnThe user does not additionally generate other orders on the same day after generation, so BnThe actual gas cylinder demand number of the nth day of the user.
The timer 7 sets the automatic generation period T, B of the ordernTo AnAnd An+TAnd carrying out assignment. I.e. BnA automatically generated by the user information recording module 2 corresponding to the user on the n + T th dayn+TIs used as a default value.
In this embodiment, n is 3, T is 10, and a automatically generated by the user information recording module 2 is a3＝3，B3When the number of the users is 2, namely the user information recording module 2 sends a signal to the order module 3 on the 3 rd day, the order module 3 automatically generates an order with the number of the users being 3 and sends the order to the app, the air supplier checks and sells the order after confirming with the customers, the actual signing number is 2, and at this time, a3And A13All are assigned to 2, namely the actual gas cylinder requirement of the user on the 3 rd day is 2, the order module 3 automatically generates an order with the gas cylinder quantity required by the user being 2 on the 13 th day, A13The values were all 2 before the verification on day 13.
The present embodiment can be carried out on day 13B by the above method13When generated, obtain A23The system of (1) generates a default value, on day 23B23When generated, obtain A33The system generates default values to be gradually updated to predict subsequent gas usage demands of the user.
In this example A3As A3+10mThe initial value of (m is a positive integer) is a because of lack of prediction basis3Is automatically generated by the user information recording module 2 through telephone communication with a user or on-site confirmation entry of the user information recording module 2.
In other embodiments, An，An-1….An+T-1Are automatically generated by the user information recording module 2 through telephone communication with a user or on-site confirmation entry of the user information recording module 2.
Example 2:
this example differs from example 1 in that BnAfter the gas cylinder is generated, the customer additionally generates the gas cylinder requirement, and the user site can enable the order module 3 to additionally increase the number of the gas cylinders to C through WeChat or a gas ordering cardnThe order of (1). If the order is placed by WeChat, the app or the main server 1 can be used for CnThe order of (a) is checked and sold. The gas ordering card is provided with a gas ordering button and nfc, and a user generates C by using the gas ordering cardnIn the case of the order, nfc can be sensed by the mobile phone to CnThe order of (a) is checked and sold. CnAfter the order is checked and sold, the air delivery personnel send the order on the same day.
At this time, the actual demand number of the user on the nth day is Bn+Cn，Bn+CnTo AnAnd An+TAnd carrying out assignment again.
Example C3When the app is finished, the air supplier goes to sell the product B on the 3 rd day3After the order of 2, the customer adds the order with 3 gas cylinders, and the supplier supplies gas cylinders to the customer for the second time on day 3, the number of the gas cylinders is 3, and then the customer sends the order to C3The order of (2) is checked out.
At this time, the actual number of deliveries on day 3 of the user is C3+B3When A is equal to 53And A13All are assigned with the value of 5, which means that the actual gas cylinder requirement of the user is 5 on the 3 rd day, and the order module 3 automatically generates an order with the gas cylinder quantity of 5 on the 13 th day, A13The values were all 2 before the verification on day 13.
In this example BnAnd CnThe corresponding order numbers are different.
Example 3:
this example differs from example 1 in that AnB generated after first verification on nth daynWhen the number is 0, the air supplier does not distribute the user on the nth day.
Example 4:
this example differs from example 2 in that CnIf the order is generated, if the verification is not performed on the current day, the order module 3 cancels the order C on the next daynThe actual gas cylinder demand number of the user on the nth day is still Bn. Accordingly, after the end of day 3, A3Still equal to 2, A13The default value before performing the verification is still equal to 2.
Example 5:
the present embodiment is different from embodiment 2 in that the gas supplier delivers i types of gas cylinders to the user. The demanded number of the x-th gas cylinder on the nth day of the user is Anx，An＝ΣAnx Moving distribution terminal 6 to AnxGeneration of B after verificationnx，Bn＝ΣBnxThe x-th gas cylinder demand number C added on the user sitenx，Cn＝ΣCnx，x∈(1,2…i)。
In this example, the gas cylinders of 2 sizes were 15kg and 50kg, respectively. The 3 rd order module 3 automatically generates the user A 311 and A32A merged order of 2 indicates that the third day the user is pre-set with 1 cylinder of 15kg and 2 cylinders of 50kg by default, for a total of 3 cylinders by default. app to A31And A32After nuclear marketing, B 311 and B32＝1，Namely, the air supply actually dispenses 1 bottle of 15kg gas cylinder and 1 bottle of 50kg gas cylinder for the first time.
Then if the user adds 1 bottle of 15kg gas cylinder and 1 bottle of 50kg gas cylinder orders on site, namely C 311 and C32＝1，C3＝C31+C32＝2。
If the user adds 1 cylinder and 15kg of gas cylinder order at site, namely C31＝1，C32Not generated by default, C3＝C3＝1。
Example 6:
the present embodiment is different from embodiment 1 in that D remains on the air-moving vehicle at the time of the user's locationnA gas cylinder DnGreater than A before nuclear pinningnThe actual demand of the user is En，EnNot more than DnThen A isnAfter nuclear marketing Bn＝En。
In this example, n is 3, D3A before nuclear pinning ═ 33＝2，E3When being 3, then A3After nuclear marketing B3＝E3＝3。
The meaning of this example is that in the field, pair A3Under the condition of carrying out the first verification and cancellation, the actual demand number of the users is more than A3And under the condition that the vehicle has enough gas cylinders to meet the actual requirements of the user, the gas supplier can directly check and sell the order for the user only once so as to avoid the user from placing the order for the second time.
Example 7:
the present embodiment is different from embodiment 2 in that D remains on the air-moving vehicle at the time of the user's placenA gas cylinder DnGreater than A before nuclear pinningnThe actual demand of the user is En，EnGreater than DnThen A isnAfter nuclear marketing Bn＝Dn，Cn＝En-Dn。
In this example, n is 3, D3A before nuclear pinning ═ 33＝2，E3If 4, then A3After nuclear marketing B3＝D3＝3，C3＝E3-D3＝1
The meaning of this example is that in the field, pair A3Under the condition of carrying out first verification and sale and under the condition that the number of the gas cylinders on the vehicle cannot meet the actual demand of the user, all the gas cylinders on the vehicle are supplied to the user, and the number of the residual gas cylinders on the vehicle is taken as B3The actual demand gap of the user is determined by adding C3Make up the order.
Example 8:
this example differs from example 1 in that T is 7 days, and the default number of air bottles required for 7 days from the nth day in the year is an，An+1，An+2，An+3，An+4，An+5，An+6The data is obtained by confirming with the user that it has been obtained.
The default number of the gas bottle demands in 7 days from the nth day in the next year is automatically output as A before the gas bottle is not checked and soldn’，An+1’，An+2’，An+3’，An+4’，An+5’，An+6’。
If (A)n+An+1+An+2+An+3+An+4+An+5+An+6)-(An’+An+1’+An+2’+An+3’+An+4’+An+5’+An+6') | is greater than 2, then An，An+1，An+2，An+3，An+4，An+5，An+6Respectively replace An’，An+1’，An+2’，An+3’，An+4’，An+5’，An+6’。
Daily household gas demand A in 2019, 9 months, 1 day-71，A2，A3，A4，A5，A6，A7According to the actual gas demand after the user verification for 8, 25, 31 days in 2020, the default value A automatically generated by the gas cylinder demand of the user for 9, 1, 7 days in 2020 is obtained1’，A2’，A3’，A4’，A5’，A6’，A7', if (A)1+A2+A3+A4+A5+A6+A7)-(A1’+A2’+A3’+A4’+A5’+A6’+A7') greater than 2, then use A1，A2，A3，A4，A5，A6，A7Are respectively to A1’，A2’，A3’，A4’，A5’，A6’，A7' assign a value to1，A2，A3，A4，A5，A6，A7The number of required gas cylinders after 9, 8 and 2020 is predicted as an initial value, and a default value of the gas cylinder requirement starting at 9, 8 and 2020 is generated.
While the invention has been described with reference to specific embodiments thereof, it will be understood by those skilled in the art that the invention is not limited thereto, and may be embodied in many different forms without departing from the spirit and scope of the invention as set forth in the following claims. Any modification which does not depart from the functional and structural principles of the present invention is intended to be included within the scope of the claims.

Claims (8)

1. The utility model provides a system that gas demand was estimated is ordered to bottled gas user based on thing networking and big data which characterized in that: the system comprises a main server and a mobile distribution terminal, wherein a timer and a plurality of user information recording modules are arranged in the main server, and the nth day gas bottle demand default number A of corresponding users is recorded in each user information recording modulenThe main server will AnDelivered to the mobile distribution terminal and then the mobile distribution terminal AnGo on nuclear marketing and generate BnThe timer sets the automatic generation period T, B of the ordernTo AnAnd An+TValue assignment is performed，After the assignment is finished, if the user has extra requirements, the number of the gas cylinders is additionally increased to C on the user sitenAnd the order is checked and sold, then Bn+CnThe actual required number of gas bottles for the nth day of the user, Bn+CnTo AnAnd An+TAnd carrying out assignment again.
2. The system for estimating gas ordering requirement of bottled gas users based on the internet of things and big data according to claim 1, wherein: the mobile distribution terminal is a mobile phone, the mobile phone is provided with an app for distribution, and a distributor confirms the verification and cancellation A by communicating with a user phone or confirming the utilization of the app on sitenAnd generate Bn。
3. The system for estimating gas ordering requirement of bottled gas users based on the internet of things and big data according to claim 1, wherein: a. thenBy telephone or on-site confirmation between the user and the distributor, AnB generated after verificationnIf 0, the user is not delivered on the nth day.
4. The system for estimating gas ordering requirement of bottled gas users based on the internet of things and big data according to claim 1, wherein:
user generation of C through air-bound card or WeChatn，CnAnd checking and canceling through a mobile distribution terminal or a main server.
5. The system for estimating gas ordering requirement of bottled gas users based on the internet of things and big data according to claim 4, wherein:
mobile delivery terminal generation BnGenerating B simultaneouslynOrder number, air card or WeChat generation CnIs generated into CnOrder number of (B)nIndependent of CnThe order number of (1).
6. The system for estimating gas ordering requirement of bottled gas users based on the internet of things and big data according to claim 1, wherein: the specification number i of the gas cylinders required by the user, and the requirement number of the x gas cylinders on the nth day of the user is Anx，An＝ΣAnx, mobile distribution terminal pair AnxGeneration of B after verificationnx，Bn＝ΣBnxAdded on site by the userNumber of gas cylinder requirement Cnx，Cn＝ΣCnx，x∈(1,2…i)。
7. The system for estimating gas ordering requirement of bottled gas users based on the internet of things and big data according to claim 1, wherein: t is 7 days, and the default number of air bottles in 7 days from the nth day in the year is An，An+1，An+2，An+3，An+4，An+5，An+6The default number of air bottle requirements in 7 days from the nth day in the next year is An’，An+1’，An+2’，An+3’，An+4’，An+5’，An+6', if (A)n+An+1+An+2+An+3+An+4+An+5+An+6)-(An’+An+1’+An+2’+An+3’+An+4’+An+5’+An+6') | is greater than 2, then An，An+1，An+2，An+3，An+4，An+5，An+6Respectively replace An’，An+1’，An+2’，An+3’，An+4’，An+5’，An+6’。
8. The system for estimating gas ordering requirement of bottled gas users based on internet of things and big data according to claim 7, wherein: d remains on the air vehicle at the user's placenA gas cylinder DnGreater than A before nuclear pinningnThe actual demand of the user is EnIf E isnNot more than DnThen A isnAfter nuclear marketing Bn＝EnIf E isnGreater than DnThen A isnAfter nuclear marketing Bn＝Dn，Cn＝En-Dn。
CN201910928718.XA 2019-09-28 2019-09-28 System for estimating gas ordering demand of bottled gas user based on Internet of things and big data Pending CN110705782A (en)

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020019780A1 (en) * 2000-08-10 2002-02-14 Herman David K. Just in time demand pull process and associated apparatus
JP2008083999A (en) * 2006-09-27 2008-04-10 Sumitomo Heavy Ind Ltd Demand forecast method, demand forecast device, demand forecast program and recording medium recording this program
US20080162270A1 (en) * 2006-12-29 2008-07-03 Edward Kim Method and system for forecasting future order requirements
JP2010231375A (en) * 2009-03-26 2010-10-14 Osaka Gas Co Ltd Component demand prediction method and component demand prediction system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020019780A1 (en) * 2000-08-10 2002-02-14 Herman David K. Just in time demand pull process and associated apparatus
JP2008083999A (en) * 2006-09-27 2008-04-10 Sumitomo Heavy Ind Ltd Demand forecast method, demand forecast device, demand forecast program and recording medium recording this program
US20080162270A1 (en) * 2006-12-29 2008-07-03 Edward Kim Method and system for forecasting future order requirements
JP2010231375A (en) * 2009-03-26 2010-10-14 Osaka Gas Co Ltd Component demand prediction method and component demand prediction system

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Application publication date: 20200117