JP3682876B2 - Bulk gas delivery system and delivery method, and delivery method of bulk gas lorry vehicle - Google Patents

Description

３）次にデータベース内の貯槽寸法データに基づき現貯蔵量Ｗnow の算定を行う。（６４）
１例として液化ガス貯槽を縦置き円筒型とした場合の計算式は下記となる。（２：１半楕円型鏡板）
【数２】
液化ガスの体積Ｖ＝ｒ^２＊π＊(ｈ−ｈ０)＋ｄ^３＊π／２４(ｍ^３) …（数２）
【数３】
液化ガスの貯蔵量Ｗnow＝Ｖ＊ρ （kg） ) …（数３）
ｒ ：貯槽内半径
ｄ ：貯槽内直径
ｈ０ ：鏡板の高さ
４）データベース内の最大貯蔵量Ｗmax の値から現充填可能量Ｗ(ｚ)を算定する。（６５）
【数４】
現充填可能量Ｗ(ｚ)＝Ｗmax−Ｗ(ｔ) （kg）) …（数４）
５）前記１）から４）までのデータ採取及び演算を定期的に行う。
６）以上のデータの蓄積により、各曜日毎・時間毎の使用量データを蓄積し、貯蔵量予測計算を行う。（６７）
７）蓄積データに基づき現時点から以降の需要量予測曲線を作成する。（６８）
８）需要量予測演算は、事前採取データのうち最新データから過去にさかのぼり同一曜日同一時間の使用量実績データである１２データ（最低３データ以上あればよい）の内の最大値・最小値を除き平均使用量を算出し勾配とする事を基本として取扱うことができる。
データ選択は、顧客の業種・業態を調査の上平均データの纏め方を決定する。
液量予測演算方法（６６）は次のようになる。
液量減少勾配αの算出の例
同一曜日同一時間使用量実績：Ｗｍ １
同一曜日同一時間使用量実績：Ｗｍ ２
同一曜日同一時間使用量実績：Ｗｍ ３
同一曜日同一時間使用量実績：Ｗｍ ４
同一曜日同一時間使用量実績：Ｗｍ ５
同一曜日同一時間使用量実績：Ｗｍ ６
同一曜日同一時間使用量実績：Ｗｍ ７
同一曜日同一時間使用量実績：Ｗｍ ８
同一曜日同一時間使用量実績：Ｗｍ ９
同一曜日同一時間使用量実績：Ｗｍ１０
同一曜日同一時間使用量実績：Ｗｍ１１
同一曜日同一時間使用量実績：Ｗｍ１２
【数５】
α=(Ｗｍ１〜Ｗｍ１２の最大最小値を除いた合計値)/１０貯蔵量推移…（数５）
【数６】
Ｗ(ｔ)＝Ｗnow−α＊（ｔ−t(ＮＯＷ)） （kg）) …（数６）
ここで、ｔ：配送時間
ｔ(ＮＯＷ)：現在時間
９）液面信号が規定液面以下の場合及び貯槽内圧力が規定圧力範囲外となった場合（圧力異常、液面異常６９）には、顧客へ運転情報サービスとして電話等にて連絡し情報の提供を行う。（７０）
10）上記にて得られた情報を顧客情報として、配送計画システム２３側に伝送する。この時、各貯槽への充填可能量は、顧客からの注文情報として取り扱う。
【００１９】
図３は、需要予測曲線の１例を示す図である。現在時点貯蔵量を原点として月日の液面推移の予測状況を示す。
【００２０】
図４は、動態管理配送管理システム２６を示す。
本システムは、バルクガスローリー車４からの情報の処理システムであり、ローリー車４の現在位置・現貯蔵量・圧力をモニタリングし、物流センタにある動態管理配送管理システム２６に信号伝送し、最適となる配送計画構築のための情報を提供すると共に、配送計画システム２３からの情報により配送計画先の指示を受け、さらに納入顧客への納入伝票を発行するシステムである。
【００２１】
各バルクガスローリー車４に設置した液面（信号としては差圧信号）伝送器および圧力伝送器からのローリー液面７２、ローリー圧力７３並びにその他の顧客情報７４、ＧＰＳ７５による現位置を含めた位置情報が動態情報７１として端末３２、送信器３３および通信網５ｂなどの通信回線７６を介して、更に動態管理配送管理システム２６を介して顧客情報管理サービスシステム２２の顧客情報管理ＣＰＵ５６に、液面信号８１、圧力信号８２および所在地（位置）情報８３として入力される。差圧伝送および圧力伝送を一つの伝送器によってシステムを採用してもよい。伝送器から取り出された各信号は、プロトコル変換器（図示せず）によってデジタル信号に変換され、信号伝送される。
【００２２】
ローリーデータベース８４には、予めガス名情報と密度算定データテーブル８５が記憶保持されている。
ローリー情報データベース８６には、１）ガス名、２）サイズ、３）最高液面、４）最低液面、５）最高圧力、６）最低圧力、７）名称等が記憶される。
【００２３】
１）伝送された信号のうち圧力信号８２と、あらかじめシステム内に情報として入力されているローリーデータベース８４のガス名コードから、密度算定データテーブル８５上で液密度を算定する。（液密度ρ_Ｒ１の決定８７）
２）決定した液密度と差圧信号によりバルクガスローリー内液面の高さｈを算定する。（８８）
【数７】

【数８】

ここで、ｄρ_Ｒ１：充填前液密度（ｋｇ／ｍ^３）
ｄρ_Ｒ２：充填後液密度（ｋｇ／ｍ^３）
３）次にデータベース内のバルクガスのローリーデータベース８４に基づき現貯蔵量Ｒnow の算定を行う。
４）充填量計算を行う。（８９）
【数９】
Ｒ＝Ｒ（充填前）−Ｒ（充填後）) …（数９）
残液量Ｒnowの計算を行う。
５）データベース内の最少貯蔵量Ｒmin の値から現充填可能量Ｒ(ｚ)を算定する。（９０）
【数１０】
現充填可能量Ｒ(ｚ)＝Ｒnow−Ｒmin) …（数１０）
６）前記１）から５）までのデータ採取及び演算を定期的及び充填前後に行う。
７）以上の工程にて得られた顧客への充填量データ・現在位置データ・今後の充填可能量データ・現在時点算液量データを配送計画システムに伝送する。（９１）
８）一方、配送計画システムから返送されてくる最適な配送計画演算結果に基づく次配送先指示情報と、顧客への納入情報（注番及び納品書作成データ）を受信し、各バルクガスローリー車に信号伝送し指示する。（９２）
９）各バルクガスローリーは、納入完了後伝送データに基づき出力される納品伝票（９３）を顧客に提出する他、指示に従い次の顧客へ移動し指示に基づく量を納入する。従って、動態情報は納品伝票を含む納品出力信号を含む。
【００２４】
図５は、受注管理システム２５を示す。
本システムは、各顧客からの注文情報を処理し配送計画システム２３へ伝送するシステムである。
【００２５】
各顧客からの注文情報は、初期に契約を結び月に一回受信する。また、その都度新規顧客その他から受信する場合も受け入れる。受信方法については、ＦＡＸ及び電話注文９３とネット上から注文９４に分類される。ＦＡＸ／電話での注文情報は、受信後必要情報を手作業にて入力し処理する。（９５）
ネット上での注文情報は、自動的に情報処理９６され配送計画システム２３に注文情報９７として伝送される。
【００２６】
配送計画システム２３は、顧客情報管理サービスシステム２２及び動態管理配送管理システム２６、受注管理システム２５、受注管理システム（後述）それぞれから送られてくるデータを処理して配送計画を立案するシステムであり、全体システムの中の基幹システムに位置する。顧客情報管理サービスシステム２２からの情報と動態管理配送管理システム２６からの情報により最適な配車計画を立案し、各バルクガスローリー車４に配送指示すると同時に受注管理システム２５からの注文情報と動態管理配送管理システム２６からの充填情報に従い納品書の発行情報をバルクガスローリー車４に伝送するシステムでもある。
【００２７】
１）顧客情報管理サービスシステム２２から顧客サイト設置の貯槽液面情報を注文情報として受信する。受信情報は、単一データ情報ではなく需要予測処理演算後の時系列データとして入力される。データをビジュアル化すると図６に示すデータとなる。
需要予測時系列データに代えて、図５に示すように、顧客サイトから注文情報を受け、需要データとして処理されたデータを使用し得る。この場合、顧客情報管理システムは、顧客サイトからの注文情報を受け、需要データとして処理することになる。
２）動態管理配送管理システム２６からバルクガスローリー車４の液面情報・充填量情報を受信し最適な配車計画立案演算の演算要素として利用する。
３）受注管理システム２５からの注文情報は、動態管理配送管理システム２６からの充填量情報とを合成情報処理し納品書作成情報として動態管理配送管理システム２６に返送し、バルクガスローリー車車載のプリンタ３４（図１）から出力し納品処理される。
返送信号には下記に示すものが含まれる。
▲１▼ 顧客名称
▲２▼ 顧客注番
▲３▼ 納入日
▲４▼ 納入ガス名称
▲５▼ 納入量
４）配送計画用演算は、下式を基本としてコスト試算最低額の配送計画を採用する。
配送計画演算は、バルクガスローリー車４からの充填情報入力時及び任意な時間に行う。演算情報として採用する顧客情報は、最新の情報を顧客情報管理サービスシステム２２から呼び出し採用する。
５）演算式
顧客ごとに下記の計算をし、発生コストが最低額となる配送計画を採用する。
バルクローリーＮo.：１・・・・
現時点充填可能量 ：Ｗ(ｚ)１・・・・
輸送距離 ：Ｋ１・・・・
輸送時間 ：Ｋｔ・・・・・・
輸送単価 ：Ｋmc１・・・・
作業時間 ：Ｓｘ１
作業単価 ：Ｃst１
大気時間ロスガス量：Ｌ１・・・・・・
ガス単価 ：Ｃｇ１・・・・・・
総発生コスト原単位：Ｃ１・・・・・・・・・
【数１１】

【００２８】
上記の場合、
・計算の結果バルクガスローリー車号車番号が重複する場合には、輸送距離最短側を優先する。
・全ての顧客に対する計算を実施し、総発生コスト最低額となる配送パターンを決定する。
【００２９】
図７は、バルクガスローリー車の配車フローを示す。
顧客Ａ、顧客Ｂ、・・・・顧客Ｘに対し、稼動中のバルクガスローリー車１〜Ｙを配車立案する。
【００３０】
ローリー車１を配車し、充填可能量Ｗ(ｚ)、輸送距離Ｋ、輸送単価Ｋmc、作業時間Ｓｘ、最大充填量Ｇ、作業単価Ｃst、ローリーロス量Ｌ、ガス単価Ｃｇ、配送時間Ｋｔを入力する。
輸送距離は、顧客サイト位置−現在位置で、ローリーロス量は、貯槽容積×１％／日で求める。
以上の入力情報からコストＣを計算する。
【数１２】

【００３１】
コストＣが最小かどうかを判定することを繰り返し、コストが最小となる出力値を見つけ出し、バルクローリー車Ｎo.、配送先、充填量を決定する。
次いで、バルクローリー車Ｎo.が重複ありかどうかを判定し、重複する場合、Ｃmin 最優先して再計算し、重複しない場合には、注文情報を受けてそのバルクローリー車について移動先指示、充填量指示および納入注番指示を行う。
【００３２】
前述のように、バルクローリー車容器本体のみで約０.３％／日 のガスが蒸発する。実際には、外部配管その他からの入熱を考慮すると概ね約１％／日程度の蒸発ガスが発生する。本発明によれば、蒸発ガス量を最小に抑えるために、複数のバルクガスローリー車の配車方法であって、配送計画立案システムは、各バルクガスローリー車の現位置と現充填可能量とを取り込み、顧客サイトの位置と需要予測時系列データもしくは需要データと、およびバルクガスローリー車からのガス蒸発量を演算要素として取り込んで各バルクガスローリー車の配車計画を立案するバルクガスローリー車の配車方法が提供される。
【００３３】
【発明の効果】
本発明によれば、従来定量的な数値解析出来なかった配送システムの問題点を解決し、さらにバルクガス輸送用ローリー車の運行で消費されるガス蒸発量を指数として取り入れる事によって配送システム構築に必要なバルクガスローリーの定量的データを伝送し、それらのデータを一元管理及びデータ処理演算する事により最適な配送計画を実現可能とするバルクガス配送全体のビジネスシステムおよび方法が提供される。
【図面の簡単な説明】
【図１】本発明の実施例の全体システム図。
【図２】顧客情報管理サービスシステム図。
【図３】需要予測曲線図。
【図４】動態管理配送システム図。
【図５】受注管理システム図。
【図６】バルクローリー車の液面推移予測図。
【図７】バルクローリー車の配車フロー図。
【符号の説明】
１…顧客サイト、２…顧客情報管理サイト、３…他の顧客情報管理サイト、４…バルクガスローリー車、５…通信網、１１…バルクガス貯槽（タンク）、１２…端末器、１３…ＬＰＧ貯槽、２１…顧客管理サーバー、２２…顧客情報管理サービスシステム、２３…配送計画システム、２４…受注サーバー、２５…受注管理システム、２６…動態管理配送管理システム、２７…注文受入サーバー、３１…バルクガスタンク、３２…車載端末、３３…送信装置、３４…プリンタ、１００…全体システム。[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a bulk gas delivery system and a bulk gas delivery method. Bulk gas refers to low-boiling point gas such as liquefied oxygen gas, liquefied nitrogen gas, liquefied argon gas, and liquefied carbon dioxide gas, and LPG.
[0002]
[Prior art]
A conventional bulk gas delivery system and method using a bulk gas vehicle is configured as follows. In other words, regarding the order, each customer manages the liquid level gauge of the bulk gas storage tank installed in the site, grasps that the liquid gas is insufficient, sends the order information to the bulk gas supplier, and sends the order information. The bulk gas supplier who received it dispatched a bulk gas lorry vehicle for bulk gas delivery and responded to the delivery. The delivery plan is planned according to the order information from the customer, but the deliverable amount is determined based on the estimation and is delivered. The delivery amount was controlled by placing a bulk gas lorry vehicle on a large scale before and after filling. If there is no large platform scale in the vicinity of the delivery customer site, move the bulk gas lorry vehicle to the place where the large scale platform with the shortest distance exists, measure the weight before and after filling, create a delivery person based on the measurement data, and deliver Was.
[0003]
[Problems to be solved by the invention]
The problems of the conventional system and method are as follows.
Order system:
1) Quantitative management of order information and delivery volume is not possible.
2) Although the liquid level gauge is installed in the storage tank installed at the customer site according to legal regulations, the bulk gas is generally a low boiling point gas and its density changes with pressure. The exact chargeable amount cannot be read from the readings. 3) The delivery date determined from the order information cannot be optimized because the amount of information is insufficient.
[0004]
delivery:
1) The amount of information for carrying out quantitative calculation processing of delivery time, delivery amount, and delivery distance is insufficient, and an optimum delivery plan cannot be made.
2) After the initial delivery plan is implemented, even if it is a cyclic filling plan, there is no information during the round, so the delivery plan cannot be changed during the round and the filling amount cannot be corrected and the efficiency is poor.
[0005]
delivery:
1) Since the delivery unit is weight, the delivery amount is managed with a platform scale.
2) A platform scale that can be calibrated for a bulk gas lorry vehicle is not an object in each region, but has a loss in travel distance and travel time for calibration.
3) Bulk gas is generally a low-boiling point gas, and the liquid density changes depending on the storage pressure, and the filling amount cannot be grasped with a simple liquid level gauge.
4) Since the delivery quantity cannot be ascertained at the time of delivery, the delivery process is a post process.
[0006]
Bulk gas is generally an ultra-low temperature boiling point gas. The bulk gas lorry vehicle has a double structure of inner container and outer container, and the intermediate layer has pearlite vacuum insulation and is designed to minimize heat input from the outside. About 0.3% / day of gas evaporates only in the container body of the Raleigh vehicle. Actually, evaporative gas of about 1% / day is generated in general considering heat input from the external piping and others. The evaporated gas is stored as a gas in the upper part of the container, but is released to the atmosphere in order to increase the pressure in the container.
Therefore, reducing the gas storage period in the bulk gas lorry vehicle is an important matter in the delivery planning.
[0007]
In view of the above, the present invention has an object to provide a bulk gas delivery system and method capable of reducing the gas storage period in the bulk gas lorry vehicle and reducing the cost, and a method for distributing the bulk gas lorry vehicle. And
[0008]
[Means for Solving the Problems]
The present invention uses a density calculation table that stores and holds the relationship between a gas name code and a liquid density and a pressure of the gas that are input in advance in a database, based on density information and differential pressure information based on pressure information. Customer information management service system that predicts the demand by calculating the liquid level of the bulk gas storage tank and calculating the storage amount, and the liquid level information and pressure information from the on-board terminal of the bulk gas lorry vehicle Using the density calculation table that stores and holds the relationship between the gas name code entered in the database and the liquid density and pressure of the gas in advance, the current filling capacity and the bulk at the customer site are calculated from the liquid level information and pressure information. A dynamic management and delivery management system for calculating the filling amount of the storage tank, and the filling amount amount when the bulk gas lorry vehicle is dispatched according to the demand forecast. Bulk lorry vehicle delivery plan by entering the bulk gas evaporation amount determined in advance by the storage tank volume of the bulk lorry vehicle and the transport distance, including the transport distance to the storage tank, the transport unit price, the gas unit price of the gas and the filling amount A bulk gas delivery system comprising: a delivery plan system for obtaining a delivery plan by a bulk lorry vehicle that determines an output value that minimizes the cost of the vehicle and determines a bulk lorry vehicle to be dispatched according to the minimized output value; and Provide a method.
[0009]
The present invention uses a density calculation table that stores and holds the relationship between a gas name code and a liquid density and a pressure of the gas that are input in advance in a database, based on density information and differential pressure information based on pressure information. A customer information management service system that performs demand prediction from the same day same time usage data collected in advance by calculating the liquid level of the bulk gas storage tank of Liquid level information and pressure information from the on-board terminal of a bulk gas lorry vehicle, and a density calculation table that stores and holds the relationship between the gas name code and the liquid density and pressure of the gas entered in the database in advance. A dynamic management and delivery management system that calculates the current filling capacity and the filling quantity into the bulk gas storage tank at the customer site from the density information and pressure information, This includes the amount that can be filled when a gas truck is delivered, the transport distance to the bulk storage tank at the customer site, the transport unit price, the gas unit price of the gas, and the filling amount, depending on the storage volume of the bulk truck and the transport distance. Input a predetermined amount of evaporation of bulk gas to obtain an output value that minimizes the cost of delivery plan for bulk lorry vehicles, and formulate a delivery plan for bulk lorry vehicles that determines the bulk lorry vehicle to be dispatched based on the output value to be minimized And a bulk gas delivery system and method.
[0010]
The present invention uses a density calculation table that stores and holds the relationship between a gas name code and a liquid density and a pressure of the gas that are input in advance in a database, based on density information and differential pressure information based on pressure information. A customer information management service system that performs demand prediction from the same day same time usage data collected in advance by calculating the liquid level of the bulk gas storage tank of Liquid level information and pressure information from the on-board terminal of a bulk gas lorry vehicle, and a density calculation table that stores and holds the relationship between the gas name code and the liquid density and pressure of the gas entered in the database in advance. A dynamic management and delivery management system that calculates the current chargeable amount and the filling amount to the bulk gas storage tank at the customer site from density information and pressure information, and the demand prediction curve Including the amount that can be filled when a Luke Gas lorry vehicle is dispatched, the transportation distance to the bulk storage tank at the customer site, the transportation unit price, the gas unit price of the gas and the filling amount, the storage tank volume of the bulk lorry vehicle and the transportation distance Input the amount of evaporation of the bulk gas determined in advance to obtain the output value that minimizes the cost of the delivery plan of the bulk lorry vehicle, and determine the bulk lorry vehicle to be dispatched by the output value to minimize the delivery plan by the bulk lorry vehicle The present invention provides a bulk gas delivery system and method characterized by comprising a planned delivery plan system.
[0011]
DETAILED DESCRIPTION OF THE INVENTION
Embodiments of the present invention will be described below with reference to the drawings.
FIG. 1 shows an overall system 100 of a bulk gas delivery system. In the figure, the overall system 100 includes a customer site 1, a customer information management site 2, a plurality of bulk gas trucks 4, and a communication network 5 (5a, 5b).
[0012]
At customer site 1, customer A and customer B each have a bulk gas storage tank (tank) 11 (11a, 11b). The tank liquid level (LT) and pressure (PT) of the bulk gas storage tank 11 are measured and transmitted through the communication network 5a through the terminal device 12. Other customer sites 3 handle different types of bulk gas, such as LPG, and customer A and customer B (which may be customer C and customer D) are respectively connected to LPG storage tanks 13 (13a) as in customer site 1. 13b). The tank liquid level (LT) and pressure (PT) of the LPG storage tank 13 are also transmitted through the terminal device 14 in the same manner.
[0013]
The customer information management site 2 has a customer management server 21 for collecting and recording pressure / liquid level information as customer management information, a customer information management service system 22, a delivery planning system 23, and an order receiving server 24 for collecting and recording order information. , An order management system 25, a dynamic management delivery management system 26, an order receiving server 27 for collecting and recording order information and a router 28 (28a, 28b) are connected to each other so that information can be exchanged. It has become.
[0014]
Each bulk gas lorry vehicle 4 is provided with a bulk gas tank 31, and the liquid level (LT) and pressure (PT) of the bulk gas tank 31 are measured and input to the in-vehicle terminal 32, and these data are transmitted to the transmission device 33. And is input to the dynamic management delivery management system 26 via the communication network 5b and the router 28b.
[0015]
The liquid level or pressure data is input to the customer information management service system 22 via the communication network 5a and further via the router 28a.
With the above configuration, the customer 35 is provided with the service 35 by the customer information management service system 22 including the bulk gas delivery 36 to the customer. Details will be described below.
[0016]
FIG. 2 shows the customer information management service system 22.
This system is a system for monitoring the state of the bulk gas storage tank 11 installed in the customer, monitoring the usage status of the customer's bulk gas, grasping the usage pattern and accurately grasping the storage amount, and the delivery planning system 23 is a system for transmitting information.
[0017]
Tank level 52, tank pressure 53 and other additional information 54 from the liquid level (signal differential pressure signal) transmitter and pressure transmitter installed in each bulk gas storage tank 11 are used as customer information 51 for terminals 12, 14 and communication. The liquid level signal 57 and the pressure signal 58 are input to the customer information management CPU 56 of the customer information management service system 22 through the communication line 55 such as the network 5a. You may employ | adopt the system which performs differential pressure transmission and pressure transmission by one transmitter. Each signal extracted from the transmitter is converted into a digital signal by a protocol converter (not shown) and transmitted.
The customer database 59 stores and holds gas name information and a density calculation data table 60 in advance.
The equipment information database stores 1) gas name, 2) size, 3) maximum liquid level, 4) minimum liquid level, 5) maximum pressure, 6) minimum pressure, 7) name, and the like.
[0018]
1) The liquid density is calculated on the density calculation data table 60 from the pressure signal 58 of the transmitted signals and the gas name code of the customer database 59 previously inputted as information in the system. (Determination 62 of liquid density ρ)
Density ρ (kg / m ³ )
2) The height h of the liquid level in the storage tank is calculated from the liquid level signal 57 based on the determined liquid density ρ and the differential pressure signal dp (mmAq). (63)
[Expression 1]

3) Next, the current storage amount Wnow is calculated based on the tank size data in the database. (64)
As an example, the calculation formula when the liquefied gas storage tank is a vertical cylinder type is as follows. (2: 1 semi-elliptical end plate)
[Expression 2]
Volume of liquefied gas V = r ² * π * (h−h0) + d ³ * π / 24 (m ³ ) (Equation 2)
[Equation 3]
Storage amount of liquefied gas Wnow = V * ρ (kg)) (Equation 3)
r: storage tank radius d: storage tank diameter h0: end plate height 4) The present filling capacity W (z) is calculated from the maximum storage amount Wmax in the database. (65)
[Expression 4]
Current chargeable amount W (z) = Wmax−W (t) (kg)) (Equation 4)
5) The data collection and calculation from 1) to 4) are periodically performed.
6) By accumulating the above data, the usage amount data for each day of the week and every hour is accumulated, and the storage amount prediction calculation is performed. (67)
7) Create a demand forecast curve from the present time based on the accumulated data. (68)
8) The demand forecast calculation calculates the maximum / minimum value of 12 data (which should be at least 3 data) that is the actual usage data of the same day of the week from the latest data in the past. It can be handled on the basis of calculating the average usage amount and making it a gradient.
Data selection determines how to summarize average data after investigating the customer's industry and business conditions.
The liquid amount prediction calculation method (66) is as follows.
Example of calculation of liquid decrease gradient α Same day same time usage results: Wm 1
Same day same time usage record: Wm 2
Same day same time usage record: Wm 3
Same day same time usage record: Wm 4
Same day same time usage record: Wm 5
Same day same time usage record: Wm 6
Same day same time usage record: Wm 7
Same day same time usage record: Wm 8
Same day same time usage record: Wm 9
Same day same time usage record: Wm10
Same day same time usage record: Wm11
Same day same time usage record: Wm12
[Equation 5]
α = (total value excluding the maximum and minimum values of Wm1 to Wm12) / 10 storage volume transition (Equation 5)
[Formula 6]
W (t) = Wnow-α * (t-t (NOW)) (kg)) (Equation 6)
Here, t: delivery time t (NOW): current time 9) When the liquid level signal is below the specified liquid level and when the pressure inside the storage tank is outside the specified pressure range (pressure abnormality, liquid level abnormality 69) , Provide information by contacting the customer by phone as a driving information service. (70)
10) The information obtained above is transmitted as customer information to the delivery planning system 23 side. At this time, the amount that can be filled in each storage tank is handled as order information from the customer.
[0019]
FIG. 3 is a diagram illustrating an example of a demand prediction curve. The forecast status of liquid level transition on the day of the month is shown with the current storage amount as the origin.
[0020]
FIG. 4 shows the dynamic management delivery management system 26.
This system is a system for processing information from the bulk gas lorry vehicle 4, which monitors the current position, current storage amount and pressure of the lorry vehicle 4, and transmits signals to the dynamic management delivery management system 26 in the distribution center. This is a system for providing information for constructing a delivery plan, receiving instructions from a delivery plan destination based on information from the delivery plan system 23, and issuing a delivery slip to a delivery customer.
[0021]
Positions including the liquid level (differential pressure signal as a signal) transmitter installed in each bulk gas lorry vehicle 4 and the lorry liquid level 72 from the pressure transmitter, the lorry pressure 73 and other customer information 74, and the current position by GPS 75 The information is transferred to the customer information management CPU 56 of the customer information management service system 22 through the communication line 76 such as the terminal 32, the transmitter 33 and the communication network 5b as the dynamic information 71 and further through the dynamic management delivery management system 26. The signal 81, the pressure signal 82, and the location (position) information 83 are input. The system may be adopted by a single transmitter for differential pressure transmission and pressure transmission. Each signal extracted from the transmitter is converted into a digital signal by a protocol converter (not shown) and transmitted.
[0022]
The lorry database 84 stores and holds gas name information and a density calculation data table 85 in advance.
The lorry information database 86 stores 1) gas name, 2) size, 3) maximum liquid level, 4) minimum liquid level, 5) maximum pressure, 6) minimum pressure, 7) name, and the like.
[0023]
1) The liquid density is calculated on the density calculation data table 85 from the pressure signal 82 of the transmitted signals and the gas name code of the lorry database 84 previously input as information in the system. (Determination 87 of liquid density ρ _R1 )
2) The height h of the liquid level in the bulk gas lorry is calculated from the determined liquid density and the differential pressure signal. (88)
[Expression 7]

[Equation 8]

Where dρ _R1 : liquid density before filling (kg / m ³ )
dρ _R2 : Liquid density after filling (kg / m ³ )
3) Next, the current storage amount Rnow is calculated based on the bulk gas lorry database 84 in the database.
4) Calculate the filling amount. (89)
[Equation 9]
R = R (before filling) −R (after filling)) (Equation 9)
The remaining liquid amount Rnow is calculated.
5) The present refillable amount R (z) is calculated from the value of the minimum storage amount Rmin in the database. (90)
[Expression 10]
Current refillable amount R (z) = Rnow−Rmin) (Equation 10)
6) Data collection and calculation from 1) to 5) are performed regularly and before and after filling.
7) Transmit the filling amount data, current position data, future refillable amount data, and current time calculated liquid amount data to the delivery planning system obtained in the above process. (91)
8) On the other hand, each bulk gas lorry vehicle receives the next delivery destination instruction information based on the optimal delivery plan calculation result returned from the delivery plan system and the delivery information (note number and delivery form creation data) to the customer. Send a signal to (92)
9) Each bulk gas lorry submits a delivery slip (93) output based on the transmission data after completion of delivery to the customer, and also moves to the next customer according to the instruction and delivers an amount based on the instruction. Accordingly, the dynamic information includes a delivery output signal including a delivery slip.
[0024]
FIG. 5 shows the order management system 25.
This system is a system that processes order information from each customer and transmits it to the delivery planning system 23.
[0025]
Order information from each customer is received once a month with an initial contract. It also accepts a case of receiving from a new customer or others each time. The receiving method is classified into FAX and telephone order 93 and order 94 on the net. The order information by FAX / telephone is processed by manually inputting necessary information after reception. (95)
The order information on the net is automatically processed as information 96 and transmitted to the delivery planning system 23 as order information 97.
[0026]
The delivery planning system 23 is a system that processes the data sent from the customer information management service system 22, the dynamic management delivery management system 26, the order management system 25, and the order management system (described later) to formulate a delivery plan. , Located in the core system in the whole system. An optimum vehicle allocation plan is prepared based on information from the customer information management service system 22 and information from the dynamic management delivery management system 26, and at the same time the delivery is instructed to each bulk gas lorry vehicle 4, order information and dynamic management from the order management system 25 are provided. It is also a system that transmits delivery form issue information to the bulk gas lorry vehicle 4 according to the filling information from the delivery management system 26.
[0027]
1) From the customer information management service system 22, the liquid level information of the storage tank installed at the customer site is received as order information. The received information is input not as single data information but as time series data after the demand prediction processing calculation. When the data is visualized, the data shown in FIG. 6 is obtained.
Instead of the demand forecast time series data, as shown in FIG. 5, the order information received from the customer site and processed as demand data can be used. In this case, the customer information management system receives order information from the customer site and processes it as demand data.
2) The liquid level information / filling amount information of the bulk gas lorry vehicle 4 is received from the dynamic management delivery management system 26 and used as a calculation element for optimal vehicle allocation plan calculation.
3) The order information from the order management system 25 is combined with the filling amount information from the dynamic management delivery management system 26 and returned to the dynamic management delivery management system 26 as invoice creation information. The data is output from the printer 34 (FIG. 1) and processed for delivery.
The return signal includes the following.
(1) Customer name (2) Customer order number (3) Delivery date (4) Delivery gas name (5) Delivery quantity 4) The calculation for delivery plan adopts the delivery plan with the lowest cost estimate based on the following formula .
The delivery plan calculation is performed when filling information is input from the bulk gas lorry vehicle 4 and at an arbitrary time. As the customer information adopted as the calculation information, the latest information is called from the customer information management service system 22 and adopted.
5) Calculation formula The following calculation is performed for each customer, and a delivery plan with the lowest cost is adopted.
Bulk lorry No.:1 ...
Current filling capacity: W (z) 1 ...
Transport distance: K1 ...
Transport time: Kt
Unit price of transportation: Kmc1 ...
Working time: Sx1
Unit price of work: Cst1
Atmospheric time loss gas amount: L1
Gas unit price: Cg1
Total cost base unit: C1 ...
[Expression 11]

[0028]
In the above case,
・ If the number of bulk gas lorry car number overlaps as a result of the calculation, give priority to the shortest transportation distance.
・ Calculate for all customers and determine the delivery pattern that gives the lowest total cost.
[0029]
FIG. 7 shows a vehicle allocation flow of a bulk gas lorry vehicle.
For customer A, customer B,..., Customer X dispatches bulk gas lorry vehicles 1 to Y.
[0030]
To dispatch the lorry 1, fillable volume W (z), transport distance K, transportation cost per Kmc, working time Sx, the maximum filling amount G, the working unit price Cst, Lori over Russia scan amount L, gas unit cost Cg, delivery time Kt Enter.
Transport distance, the customer site location - at the current position, row Li Rosu amount reservoir volume × obtained by 1% / day.
The cost C is calculated from the above input information.
[Expression 12]

[0031]
It is repeatedly determined whether the cost C is the minimum, an output value at which the cost is minimum is found, and the bulk lorry car No., the delivery destination, and the filling amount are determined.
Next, it is determined whether or not the bulk lorry vehicle No. is duplicated, and if it is duplicated, Cmin is re-calculated with the highest priority. If there is no duplicate, the order information is received for the bulk lorry vehicle, filling is performed. Give quantity instructions and delivery order instructions.
[0032]
As mentioned above, about 0.3% / day of gas evaporates only in the bulk truck container body. Actually, evaporative gas of about 1% / day is generated in general considering heat input from the external piping and others. According to the present invention, in order to minimize the amount of evaporative gas, a delivery method for a plurality of bulk gas lorry vehicles, wherein the delivery planning system determines the current position and the current chargeable amount of each bulk gas lorry vehicle. Carrying out bulk gas lorry vehicles that capture the location of customer sites, demand forecast time-series data or demand data, and gas evaporation from bulk gas lorry vehicles as operational elements A method is provided.
[0033]
【The invention's effect】
According to the present invention, it is necessary to solve the problems of the delivery system that could not be quantitatively analyzed in the past, and to construct the delivery system by taking in the amount of gas evaporation consumed by the operation of the lorry vehicle for bulk gas transportation as an index. It is possible to provide a bulk gas delivery business system and method capable of realizing an optimum delivery plan by transmitting quantitative data of a bulk gas lorry and performing centralized management and data processing on the data.
[Brief description of the drawings]
FIG. 1 is an overall system diagram of an embodiment of the present invention.
FIG. 2 is a customer information management service system diagram.
FIG. 3 is a demand forecast curve diagram.
FIG. 4 is a dynamic management delivery system diagram.
FIG. 5 is an order management system diagram.
FIG. 6 is a liquid level transition prediction diagram of a bulk lorry vehicle.
FIG. 7 is a flow chart of allocation of a bulk lorry vehicle.
[Explanation of symbols]
DESCRIPTION OF SYMBOLS 1 ... Customer site, 2 ... Customer information management site, 3 ... Other customer information management site, 4 ... Bulk gas truck, 5 ... Communication network, 11 ... Bulk gas storage tank (tank), 12 ... Terminal, 13 ... LPG storage tank 21 ... Customer management server, 22 ... Customer information management service system, 23 ... Delivery planning system, 24 ... Order reception server, 25 ... Order management system, 26 ... Dynamic management delivery management system, 27 ... Order acceptance server, 31 ... Bulk gas tank 32 ... In-vehicle terminal, 33 ... Transmission device, 34 ... Printer, 100 ... Overall system.

Claims (6)

Using the density calculation table that stores and holds the relationship between the gas name code and the liquid density and pressure of the gas entered in advance in the database, the density information based on the pressure information and the differential pressure information are used to determine the bulk gas storage tank at the customer site. A customer information management service system that predicts demand by calculating the height of the liquid level and calculating the storage amount;
Liquid level information and pressure information from the on-board terminal of the bulk gas lorry vehicle, and a density calculation table that stores and holds the relationship between the gas name code and the liquid density and pressure of the gas that are input in advance in the database. Dynamic management and delivery management system that calculates the current filling capacity and filling volume to the bulk storage tank at the customer site from surface information and pressure information;
The storage capacity of the bulk lorry vehicle, including the transport distance to the bulk storage tank at the customer site, the transportation unit price, the gas unit price of the gas and the filling amount when the bulk gas lorry vehicle is allocated according to the demand forecast By using a bulk lorry vehicle to determine the output value that minimizes the delivery plan cost of bulk lorry vehicles by inputting the evaporation amount of bulk gas determined in advance by the transport distance, and to determine the bulk lorry vehicle to be dispatched by the output value to be minimized A bulk gas delivery system characterized by comprising a delivery plan system for formulating a delivery plan. Using the density calculation table that stores and holds the relationship between the gas name code and the liquid density and pressure of the gas entered in advance in the database, the density information based on the pressure information and the differential pressure information are used to determine the bulk gas storage tank at the customer site. A customer information management service system that performs demand prediction from the same day same time usage data collected in advance by calculating the liquid level and calculating the storage amount,
Liquid level information and pressure information from the on-board terminal of a bulk gas lorry vehicle, and a density calculation table that stores and holds the relationship between the gas name code and the liquid density and pressure of the gas entered in the database in advance. Dynamic management and delivery management system that calculates the current filling capacity and the filling quantity to the bulk gas storage tank at the customer site from density information and pressure information,
The storage capacity of the bulk lorry vehicle, including the amount of filling possible when the bulk gas lorry vehicle is delivered according to the demand forecast, the transport distance to the bulk storage tank at the customer site, the transportation unit price, the gas unit price of the gas and the filling amount, A bulk lorry vehicle that inputs an evaporation amount of bulk gas determined in advance by the transport distance to obtain an output value that minimizes the cost of the delivery plan of the bulk lorry vehicle, and determines a bulk lorry vehicle to be dispatched by the output value to be minimized. A bulk gas delivery system characterized by comprising a delivery planning system for creating a delivery plan based on Using the density calculation table that stores and holds the relationship between the gas name code and the liquid density and pressure of the gas entered in advance in the database, the density information based on the pressure information and the differential pressure information are used to determine the bulk gas storage tank at the customer site. A customer information management service system that performs demand prediction from the same day same time usage data collected in advance by calculating the liquid level and calculating the storage amount,
Liquid level information and pressure information from the on-board terminal of a bulk gas lorry vehicle, and a density calculation table that stores and holds the relationship between the gas name code and the liquid density and pressure of the gas entered in the database in advance. Dynamic management and delivery management system that calculates the current filling capacity and the filling quantity to the bulk gas storage tank at the customer site from density information and pressure information,
The storage capacity of the bulk lorry vehicle, including the possible filling amount when the bulk gas lorry vehicle is allocated according to the demand prediction curve, the transport distance to the bulk storage tank at the customer site, the transport unit price, the gas unit price of the gas and the filling amount A bulk lorry for determining a bulk lorry vehicle to be dispatched based on an output value that minimizes a delivery plan for a bulk lorry vehicle is obtained by inputting a predetermined amount of evaporation of the bulk gas according to the transport distance and the transport distance. A bulk gas delivery system characterized by comprising a delivery plan system for creating a delivery plan by car. A bulk gas delivery method using a bulk gas delivery system, wherein the bulk gas delivery system uses a density calculation table that stores and holds a relationship between a gas name code and a liquid density and a pressure of the gas that are input in advance in a database. From the density information based on the pressure information and the differential pressure information, the height of the liquid level of the bulk gas storage tank at the customer site is calculated.
Liquid level information using the liquid level information from the on-board terminal of the bulk gas lorry vehicle, the pressure information, the gas name code entered in advance in the database, and the density calculation table that stores and holds the relationship between the liquid density and pressure of the gas From the information and pressure information, the current filling capacity and the filling amount to the bulk storage tank at the customer site are calculated.
The storage capacity of the bulk lorry vehicle, including the amount of filling possible when the bulk gas lorry vehicle is delivered according to the demand forecast, the transport distance to the bulk storage tank at the customer site, the transportation unit price, the gas unit price of the gas and the filling amount, A bulk lorry vehicle that inputs an evaporation amount of bulk gas determined in advance by the transport distance to obtain an output value that minimizes the cost of the delivery plan of the bulk lorry vehicle, and determines a bulk lorry vehicle to be dispatched by the output value to be minimized. A bulk gas delivery method characterized by comprising a delivery plan by A bulk gas delivery method using a bulk gas delivery system, comprising:
Density information and differential pressure information based on pressure information using a density calculation table that stores and holds the relationship between the gas name code preliminarily entered in the database and the liquid density and pressure of the gas by the customer information management service system Calculate the liquid level of the bulk gas storage tank at the customer site, calculate the storage volume, calculate the demand from the same-hour usage data collected on the same day of the week, and perform dynamic management delivery. The system uses a density calculation table that stores and holds the liquid level information and pressure information from the on-board terminal of the bulk gas lorry vehicle, and the relationship between the gas name code entered in the database and the liquid density and pressure of the gas. Then, the current filling capacity and the filling amount to the bulk gas storage tank at the customer site are calculated from the liquid density information and the pressure information.
The delivery plan system includes the bulk filling amount when the bulk gas lorry vehicle is delivered according to the demand forecast, the transport distance to the bulk storage tank at the customer site, the transportation unit price, the gas unit price of the gas, and the filling amount. Input the amount of evaporation of the bulk gas determined in advance by the storage volume of the car and the transport distance to obtain the output value that minimizes the cost of the delivery plan of the bulk lorry vehicle, and the bulk lorry vehicle that dispatches by the output value to minimize A bulk gas delivery method comprising: planning a delivery plan for a bulk lorry vehicle to be determined. A bulk gas delivery method using a bulk gas delivery system, comprising:
Density information and differential pressure information based on pressure information using a density calculation table that stores and holds the relationship between the gas name code preliminarily entered in the database and the liquid density and pressure of the gas by the customer information management service system By calculating the liquid level height of the bulk gas storage tank at the customer site, and calculating the storage amount, a demand forecast curve is created from the same hour same time usage data collected in advance on the same day,
The dynamic management delivery system stores the relationship between the liquid level information and pressure information from the in-vehicle terminal of the bulk gas lorry vehicle according to the demand prediction curve, the gas name code inputted in advance in the database, and the liquid density and pressure of the gas. Using the stored density calculation table, the current filling capacity and the filling volume to the bulk storage tank at the customer site are calculated from the liquid level information and pressure information, and when the bulk gas lorry vehicle is dispatched by the delivery planning system. Including the amount that can be filled, the transportation distance to the bulk storage tank at the customer site, the transportation unit price, the gas unit price of the gas, and the filling amount, the evaporation amount of the bulk gas determined in advance by the storage volume of the bulk lorry vehicle and the transportation distance Input to find the output value that minimizes the cost of delivery plan for bulk lorry vehicles, Bulk gas delivery method characterized in that consists of planning the delivery plan by bulk lorry to determine the over vehicles.

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