JP4448236B2 - Shipment method of metal products using dew condensation prediction system - Google Patents
Shipment method of metal products using dew condensation prediction system Download PDFInfo
- Publication number
- JP4448236B2 JP4448236B2 JP2000190527A JP2000190527A JP4448236B2 JP 4448236 B2 JP4448236 B2 JP 4448236B2 JP 2000190527 A JP2000190527 A JP 2000190527A JP 2000190527 A JP2000190527 A JP 2000190527A JP 4448236 B2 JP4448236 B2 JP 4448236B2
- Authority
- JP
- Japan
- Prior art keywords
- data
- condensation
- prediction system
- storage warehouse
- dew point
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Images
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Warehouses Or Storage Devices (AREA)
Description
【０００１】
【発明の属する技術分野】
本発明は、金属コイルのような金属製品の結露発生を確実に防止することができる結露予測システムを用いた金属製品の出荷方法に関するものである。
【０００２】
【従来の技術】
例えば、金属コイルのような金属製品を保管倉庫内で保管する場合、金属コイルの表面温度が露点温度よりも下回ると結露して金属コイルが錆びるという不都合が生じる。このため結露防止対策として、送風機により金属コイル表面の換気を促進したり、保管室を除湿機により除湿する等して雰囲気条件を制御することにより結露の発生を防止していた。しかしながら、従来の方法はいずれも金属コイルの表面温度を測定することを基本しており、気温の変化が激しい場合や熱的慣性の大きい金属製品の場合には結露の発生を防止することが難しいものであった。
【０００３】
そこで、最近では気温および露点等の気象予測データを利用して結露の発生を防止することが試みられているが、気象予測データと比較するのは金属コイルの表面温度の実測値であって従来と同様であり、急激な気温の変化等があった場合や材質・重量等の熱的慣性の大きい金属製品の場合には予測誤差が大きくなって結露の発生を防止することが難しいという問題点があった。
【０００４】
一方、生産者側において、金属コイルの結露防止対策を施していたとしても、ユーザ側の気象条件の違いにより出荷した金属コイルが受入れ先で結露を生じる場合があるという問題点もあった。
【０００５】
【発明が解決しようとする課題】
本発明は上記のような従来の問題点を解決して、気温および露点等の気象予測データをもとにして作成された結露予測システムを用い、結露予測誤差を極力小さくして正確な結露防止制御を行うとともに、生産者側からユーザ側への出荷に際してもユーザ側でも結露の発生をなくすことができる結露予測システムを用いた金属製品の出荷方法を提供することを目的として完成されたものである。
【０００６】
【課題を解決するための手段】
上記の課題を解決するためになされた本発明の結露予測システムを用いた金属製品の出荷方法は、保管倉庫内の気温、露点等の気象予測データを入手してこれをもとに保管倉庫内にある金属製品の表面温度の推移を予測し、この予測値と露点予測データを比較して結露発生の有無を予測するようにした結露予測システムを、生産者側の保管倉庫とユーザ側の保管倉庫にそれぞれ設け、両結露予測システムをネットワークで結んで一方の結露予測システムで得た気温、湿度、露点、および金属製品の表面温度の予測値のデータを他方の結露予測システムに転送し、転送されたデータから雰囲気条件の制御を行い金属製品の表面温度の予測値が露点予測データより高い条件にあるユーザ側の保管倉庫へ生産者側の保管倉庫より出荷するようにしたことを特徴とするものを基本構成とする。
【０００７】
そして、具体的には、ネットワークで結ばれているユーザ側の結露予測システムで得た気温、湿度、露点、および金属製品の表面温度の予測値のデータを生産者側の結露予測システムに転送し、転送されたデータから雰囲気条件の制御を行い複数のユーザ側の保管倉庫の中から金属製品の表面温度の予測値が露点予測データより高い条件の保管倉庫を選択して出荷することができ、これを請求項２に係る発明とし、この場合、ユーザ側の結露予測システムより転送された気温、湿度、露点、および金属製品の表面温度の予測値のデータから雰囲気条件の制御を行い生産者側の結露予測システムによりユーザ側の保管倉庫へ出荷のタイミングを決定するようにしてもよく、これを請求項３に係る発明とする。また、生産者側の結露予測システムで得た気温、湿度、露点、および金属製品の表面温度の予測値のデータをユーザ側の結露予測システムに転送し、転送されたデータから雰囲気条件の制御を行いユーザ側の保管倉庫を金属製品の表面温度の予測値が露点予測データより高い条件ように適正保管条件化し、この適正保管条件化されたユーザ側の保管倉庫へ生産者側の保管倉庫より出荷するようにすることもでき、これを請求項４に係る発明とする。なお、前記した各発明に用いた結露予測システムにおいて、保管倉庫内の気温、露点等の気象予測データは、各保管倉庫内における過去および現在の気象実測データを基に算出されたものが好ましく、これを請求項５の発明とする。
【０００８】
【発明の実施の形態】
以下に、図面を参照しつつ本発明の好ましい実施の形態を示す。
図１は概略フローチャート図を示すものであり、金属製品としてのコイルの生産者側である製鉄所の保管倉庫と、自動車メーカ等のユーザ側にある複数の保管倉庫とがネットワークで結ばれている。そして、各保管倉庫には結露予測システムを設けてあり、生産者側とユーザ側の結露予測システムとはネットワークで結んであって、生産者側とユーザ側のいずれか一方の結露予測システムで得たデータを他方の結露予測システムに転送できるようにしてある。その１例として図示するものは、ユーザ側の結露予測システムで得たデータが生産者側の結露予測システムに転送されるようになっていて、この転送されてきたデータを加味して生産者側の結露予測システムにより結露が発生しないように金属製品の出荷のタイミングを決定するものとしてある。このような出荷方法とすることにより、後述するように生産者側からユーザ側への出荷に際し結露の発生を防止して最適のタイミングで出荷するのである。
【０００９】
前記結露予測システムは、図２に示されるように、生産者側の保管倉庫と、ユーザ側の各保管倉庫の気温、湿度、露点等の気象予測データを外部の専門業者より入手し、得られた気温予測データをもとに金属製品の表面温度の推移を予測し、該予測値と露点予測データを比較して金属製品の表面温度の予測値が露点予測データより下がらないように制御し結露の発生を防止するものとしてある。 この場合、金属製品の保管倉庫における気温等の過去および現在の気象実測データを取り込んで気温および露点等の気象予測データを算出するようにすることで、従来の地域予測レベルに比べて、より高精度な保管倉庫近辺の局地天気予報データを得ることが可能となる（図３参照）。
【００１０】
従来から、気温、湿度、露点等の気象予測データを入手し、これを利用して結露発生を予測することは種々試みられているが、金属製品の表面温度の実測値を測ったうえで露点予測データと比較して結露の発生を防止するものであるため、急激な気温の変化等があった場合や材質・重量等の熱的慣性の大きい金属製品の場合には予測誤差が大きくなって結露の発生を防止することは困難であった。これに対し、本発明の結露予測システムでは気温予測データをもとに金属製品の表面温度の推移を予測するようにしているので、予測誤差が極めて小さくなり正確な制御が可能となる。
【００１１】
前記した金属製品の表面温度の推移の予測は、気温予測データをもとにし、更に倉庫条件や金属製品の熱伝導や板厚等の条件を加えて有限要素法、差分法等の一次元、若しくは多次元の伝熱シミュレーションにより算出することができる。これによれば、金属製品の表面温度の予測値と実際の金属製品の表面温度（実績値）の差は、図４に示されるように±２℃の範囲内にあることが確認されており、伝熱シミュレーションで金属製品の表面温度をほぼ忠実に表現できていることが判明した。
【００１２】
次に、このようにして得られた精度の高い気温予測データをもとに金属コイルの表面温度の推移を予測し、その予測値と露点予測データを比較し、金属コイルの表面温度の予測値が露点予測データより下がらないように、送風機による金属コイル近辺の換気や、除湿機による保管倉庫内の除湿などの雰囲気条件の制御を行い金属表面の結露の発生を防止するのである。
また、露点予測データよりも一定温度だけ高い温度を閾値として、金属製品の表面温度の予測値が該閾値よりも低くなる場合に警報を発して結露の発生を防止するように制御することもでき、この場合には結露警報の誤報もなくなり作業性を著しく高めることとなる。なお、結露警報の一例を示せば、金属製品の表面温度の予測値が露点の予測値よりも１℃より高い場合には警報を発せず、金属製品の表面温度の予測値が露点の予測値の＋１℃の範囲内にある場合には軽警報を発し、金属製品の表面温度の予測値が露点の予測値よりも低い場合には重警報を発する等の設定ができる。
【００１３】
以上のような結露予測システムを製鉄所の金属製品の保管倉庫に設けることで、金属製品の保管時における結露の発生を確実に防止できることとなる。しかしながら、生産者側において完全な結露防止策を講じていても、ユーザ側の保管条件や気象条件等により結露を生じる場合がある。
そこで本発明では、ユーザ側の保管倉庫にも同様の結露予測システムを設け、両者をネットワークで結んでユーザ側の結露予測システムで得たデータを生産者側に転送するようにしてある。そして、転送されてきたデータを加味して結露が発生しないように生産者側において金属製品の出荷のタイミングを決定するようにする。例えば、ユーザ側において結露が発生しやすい気象条件の場合には出荷を見合せ、生産者側でしばらく保管した後、条件が良くなった所で出荷する等の調整を行うのである。これにより、出荷後に結露が発生して再製造するよりも大幅に納期およびコストの低減が可能となる。
【００１４】
前記した説明は、ネットワークで結ばれているユーザ側の結露予測システムで得たデータを生産者側の結露予測システムに転送し、転送されたデータを加味して複数のユーザ側の保管倉庫の中から適正保管条件の保管倉庫を選択して出荷する場合であって、しかも、適正保管条件にあるユーザ側の保管倉庫を出荷のタイミングを決定することで行なっているが、タイミングではなくいくつかのユーザ側の保管倉庫の中に適正保管条件にあるものを探して出荷するようにしてもよいことは勿論である。
【００１５】
その外にも、保管倉庫内の気温、露点等の気象予測データを入手してこれをもとに保管倉庫内にある金属製品の表面温度の推移を予測し、この予測値と露点予測データを比較して結露発生の有無を予測するようにした結露予測システムを、生産者側の保管倉庫とユーザ側の保管倉庫にそれぞれ設け、両結露予測システムをネットワークで結んで一方の結露予測システムで得たデータを他方の結露予測システムに転送し、転送されたデータを加味して適正保管条件にあるユーザ側の保管倉庫へ生産者側の保管倉庫より出荷するのであれば、生産者側の結露予測システムで得たデータをユーザ側の結露予測システムに転送し、転送されたデータを加味してユーザ側の保管倉庫にある前記したような送風機、除湿機などを駆動させてユーザ側の保管倉庫内を適正保管条件に制御し、この適正保管条件化されたユーザ側の保管倉庫へ生産者側の保管倉庫より出荷するようにしてもよい。
【００１６】
【発明の効果】
以上の説明からも明らかなように、本発明によれば、気温および露点等の気象予測データをもとにして作成された結露予測システムを用い、結露予測誤差を極力小さくして正確な結露防止制御を行うとともに、生産者側からユーザ側への出荷に際してもユーザ側でも結露の発生をなくすことができる。
よって本発明は従来の問題点を一掃した結露予測システムを用いた金属製品の出荷方法として、産業の発展に寄与するところは極めて大である。
【図面の簡単な説明】
【図１】本発明の実施の形態を示す概略フローチャート図である。
【図２】結露予測システムを示す概略フローチャート図である。
【図３】金属コイルの表面温度の実績値と予測値を示すグラフである。
【図４】気温および露点の実績値と予測値を示すグラフである。[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a metal product shipping method using a condensation prediction system that can reliably prevent the occurrence of condensation on a metal product such as a metal coil.
[0002]
[Prior art]
For example, when a metal product such as a metal coil is stored in a storage warehouse, if the surface temperature of the metal coil is lower than the dew point temperature, condensation occurs and the metal coil rusts. For this reason, as a dew condensation prevention measure, the ventilation of the metal coil surface was promoted with a blower, or the atmospheric conditions were controlled by dehumidifying the storage room with a dehumidifier to prevent the occurrence of dew condensation. However, all of the conventional methods are based on measuring the surface temperature of the metal coil, and it is difficult to prevent the occurrence of condensation in the case of a rapid change in temperature or a metal product with large thermal inertia. It was a thing.
[0003]
Therefore, recently, attempts have been made to prevent the occurrence of condensation by using weather forecast data such as temperature and dew point. However, compared with the weather forecast data, the measured value of the surface temperature of the metal coil is the conventional value. In the case of a sudden change in temperature, etc., or in the case of metal products with large thermal inertia such as material and weight, it is difficult to prevent condensation due to large prediction error was there.
[0004]
On the other hand, even if the producer side has taken measures to prevent condensation of the metal coil, there is a problem in that the shipped metal coil may cause condensation at the receiving site due to a difference in weather conditions on the user side.
[0005]
[Problems to be solved by the invention]
The present invention solves the above-mentioned conventional problems, uses a condensation prediction system created based on weather prediction data such as temperature and dew point, etc., and reduces condensation prediction error as much as possible to prevent condensation accurately. It was completed for the purpose of providing a metal product shipment method using a condensation prediction system that can control the occurrence of condensation on the user side as well as on the shipment from the producer side to the user side. is there.
[0006]
[Means for Solving the Problems]
The metal product shipment method using the dew condensation prediction system of the present invention made to solve the above-mentioned problems is obtained by obtaining weather forecast data such as the temperature and dew point in the storage warehouse and based on this data. Condensation prediction system that predicts the occurrence of condensation by predicting the transition of the surface temperature of metal products in the factory and comparing the predicted value with the dew point prediction data, the storage warehouse on the producer side and the storage on the user side Established in each warehouse, connecting both condensation prediction systems with a network, transferring the data of the predicted values of temperature, humidity, dew point, and surface temperature of metal products obtained by one condensation prediction system to the other condensation prediction system and transferring it predicted value of the surface temperature of the metal products and controls the atmospheric conditions from data is to be shipped from a warehouse of the producer side to the user side of the warehouse in the condition of high dewpoint forecasts A basic configuration of those characterized by and.
[0007]
Specifically, the data on the predicted values of the temperature, humidity, dew point, and surface temperature of the metal product obtained by the condensation prediction system on the user side connected via the network are transferred to the condensation prediction system on the producer side. , You can control the atmosphere conditions from the transferred data and select the storage warehouse where the predicted value of the surface temperature of the metal product is higher than the dew point prediction data from the multiple storage warehouses on the user side. This is the invention according to claim 2, and in this case, the atmospheric conditions are controlled from the data of the predicted values of the temperature, humidity, dew point, and metal product surface temperature transferred from the condensation prediction system on the user side , and the producer side The dew condensation prediction system may determine the timing of shipment to the storage warehouse on the user side, and this is the invention according to claim 3. In addition, the temperature, humidity, dew point, and predicted surface temperature data of metal products obtained from the condensation prediction system on the producer side are transferred to the condensation prediction system on the user side, and atmospheric conditions are controlled from the transferred data. It was carried out the user side of the warehouse properly storage conditions of predicted values to higher conditions so dewpoint predicted data of the surface temperature of the metal product, shipped from storage warehouse producer side to the proper storage conditions of the user's side of the warehouse It is also possible to do this, and this is the invention according to claim 4. In the dew condensation prediction system used in each of the inventions described above, the weather prediction data such as the temperature in the storage warehouse, the dew point, etc. are preferably calculated based on the past and current weather measurement data in each storage warehouse, This is the invention of
[0008]
DETAILED DESCRIPTION OF THE INVENTION
Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings.
FIG. 1 shows a schematic flow chart, in which a storage warehouse of an ironworks that is a producer of a coil as a metal product and a plurality of storage warehouses on the user side of an automobile manufacturer or the like are connected by a network. . Each storage warehouse is provided with a condensation prediction system, and the condensation prediction system on the producer side and the user side is connected by a network, and can be obtained by either the condensation prediction system on the producer side or the user side. Data can be transferred to the other condensation prediction system. As an example, the data shown in the condensation prediction system on the user side is transferred to the condensation prediction system on the producer side, and the producer side considers the transferred data. The dew condensation prediction system determines the timing for shipping metal products so that dew condensation does not occur. By using such a shipping method, as will be described later, in the shipping from the producer side to the user side, the occurrence of condensation is prevented and the shipping is performed at the optimum timing.
[0009]
As shown in FIG. 2, the dew condensation prediction system is obtained by obtaining weather forecast data such as temperature, humidity, dew point, etc. of the storage warehouse on the producer side and each storage warehouse on the user side from an external specialist. Based on the predicted temperature data, the transition of the surface temperature of the metal product is predicted, and the predicted value is compared with the dew point prediction data so that the predicted value of the surface temperature of the metal product does not fall below the dew point prediction data. It is intended to prevent the occurrence of In this case, it is possible to calculate the weather forecast data such as temperature and dew point by taking in past and current weather measurement data such as the temperature in the metal product storage warehouse, which is higher than the conventional regional forecast level. Accurate local weather forecast data in the vicinity of the storage warehouse can be obtained (see FIG. 3).
[0010]
Various attempts have been made to obtain weather forecast data such as temperature, humidity, and dew point, and to predict the occurrence of condensation using this data. However, the dew point is measured after measuring the actual surface temperature of metal products. Since it prevents condensation from occurring compared to the predicted data, the prediction error increases when there is a sudden change in temperature or when the metal product has a large thermal inertia such as material and weight. It was difficult to prevent the occurrence of condensation. On the other hand, since the dew condensation prediction system of the present invention predicts the transition of the surface temperature of the metal product based on the temperature prediction data, the prediction error is extremely small and accurate control is possible.
[0011]
The prediction of the transition of the surface temperature of the metal product described above is based on the temperature prediction data, and further adds conditions such as warehouse conditions and heat conduction and plate thickness of the metal product, one-dimensional such as finite element method, difference method, Alternatively, it can be calculated by a multidimensional heat transfer simulation. According to this, it has been confirmed that the difference between the predicted surface temperature of the metal product and the actual surface temperature (actual value) of the metal product is within a range of ± 2 ° C. as shown in FIG. The heat transfer simulation revealed that the surface temperature of metal products could be expressed almost faithfully.
[0012]
Next, the transition of the surface temperature of the metal coil is predicted based on the accurate temperature prediction data obtained in this way, the predicted value is compared with the predicted dew point, and the predicted value of the surface temperature of the metal coil is compared. In order to prevent the dew point from falling below the dew point prediction data, the atmospheric conditions such as ventilation in the vicinity of the metal coil by the blower and dehumidification in the storage warehouse by the dehumidifier are controlled to prevent the occurrence of condensation on the metal surface.
In addition, a temperature higher than the dew point prediction data by a certain temperature is set as a threshold value, and when the predicted value of the surface temperature of the metal product becomes lower than the threshold value, an alarm can be issued to prevent the occurrence of condensation. In this case, the false alarm of the condensation warning is eliminated, and the workability is remarkably improved. As an example of a dew condensation warning, if the predicted value of the surface temperature of the metal product is higher than 1 ° C. than the predicted value of the dew point, no alarm is issued, and the predicted value of the surface temperature of the metal product is the predicted value of the dew point. When the temperature is within the range of + 1 ° C., a light alarm is issued, and when the predicted surface temperature of the metal product is lower than the predicted dew point, a heavy alarm can be set.
[0013]
By providing the condensation prediction system as described above in the metal product storage warehouse of the steel works, it is possible to reliably prevent the occurrence of condensation during the storage of the metal product. However, even if the producer side has taken complete measures to prevent condensation, condensation may occur due to storage conditions or weather conditions on the user side.
Therefore, in the present invention, a similar condensation prediction system is provided in the storage warehouse on the user side, and both are connected via a network to transfer data obtained by the condensation prediction system on the user side to the producer side. Then, taking into account the transferred data, the producer determines the shipping timing of the metal product so that condensation does not occur. For example, in the case of weather conditions in which condensation is likely to occur on the user side, the shipment is postponed, the storage is stored for a while on the producer side, and the shipment is made at a place where the conditions are improved. As a result, it is possible to significantly reduce the delivery time and cost as compared with the case where dew condensation occurs after shipment and remanufacturing.
[0014]
In the above explanation, the data obtained by the condensation prediction system on the user side connected by the network is transferred to the condensation prediction system on the producer side, and the transferred data is taken into account in the storage warehouses of the plurality of users. The storage warehouse with the proper storage conditions is selected and shipped, and the storage warehouse on the user side that is in the proper storage conditions is determined by determining the timing of shipment. Of course, it is possible to search for a product in a proper storage condition in a storage warehouse on the user side and ship it.
[0015]
In addition, weather forecast data such as the temperature and dew point in the storage warehouse is obtained, and the transition of the surface temperature of metal products in the storage warehouse is predicted based on this data. A dew condensation prediction system that predicts the presence or absence of dew condensation by comparison is installed in the storage warehouse on the producer side and the storage warehouse on the user side, and both dew condensation prediction systems are connected via a network and obtained with one dew condensation prediction system. If the transferred data is transferred to the other condensation prediction system and shipped from the producer's storage warehouse to the user's storage warehouse under appropriate storage conditions, taking into account the transferred data, the producer's condensation prediction Data obtained by the system is transferred to the condensation prediction system on the user side, and the stored data on the user side is driven by driving the blower, dehumidifier, etc. in the storage warehouse on the user side in consideration of the transferred data. Controls the refrigerator to the proper storage conditions, may be shipped from a warehouse of the producer side to the proper storage conditions of the user's side of the warehouse.
[0016]
【The invention's effect】
As is apparent from the above description, according to the present invention, a condensation prediction system created based on weather prediction data such as temperature and dew point is used, and the condensation prediction error is minimized and accurate condensation prevention is performed. In addition to performing control, it is possible to eliminate the occurrence of condensation on the user side as well as on shipment from the producer side to the user side.
Therefore, the present invention greatly contributes to the development of the industry as a method for shipping metal products using a condensation prediction system that eliminates the conventional problems.
[Brief description of the drawings]
FIG. 1 is a schematic flowchart showing an embodiment of the present invention.
FIG. 2 is a schematic flowchart showing a dew condensation prediction system.
FIG. 3 is a graph showing the actual value and the predicted value of the surface temperature of the metal coil.
FIG. 4 is a graph showing actual values and predicted values of temperature and dew point.
Claims (5)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2000190527A JP4448236B2 (en) | 2000-06-26 | 2000-06-26 | Shipment method of metal products using dew condensation prediction system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2000190527A JP4448236B2 (en) | 2000-06-26 | 2000-06-26 | Shipment method of metal products using dew condensation prediction system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JP2002002922A JP2002002922A (en) | 2002-01-09 |
| JP4448236B2 true JP4448236B2 (en) | 2010-04-07 |
Family
ID=18689981
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2000190527A Expired - Fee Related JP4448236B2 (en) | 2000-06-26 | 2000-06-26 | Shipment method of metal products using dew condensation prediction system |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JP4448236B2 (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2018165111A (en) * | 2017-03-28 | 2018-10-25 | 東芝三菱電機産業システム株式会社 | Condensation prevention system and warning / condensation prevention system |
| CN108205346B (en) * | 2018-01-19 | 2020-05-15 | 济南玮泉生物发电有限公司 | Open-air stock ground biomass fuel temperature control stack-turning heat dissipation method and system |
| JP7402386B1 (en) * | 2022-09-13 | 2023-12-20 | 日本郵船株式会社 | System for estimating the quality of cargo in a ship's hold |
-
2000
- 2000-06-26 JP JP2000190527A patent/JP4448236B2/en not_active Expired - Fee Related
Also Published As
| Publication number | Publication date |
|---|---|
| JP2002002922A (en) | 2002-01-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10316499B2 (en) | Freeze prediction system | |
| EP0492652A2 (en) | Container with device preventing dew condensation | |
| JP5907802B2 (en) | Air conditioning control device, temperature sensor deterioration determination method, and program | |
| JP3551088B2 (en) | Dew condensation prediction method and dew condensation prediction device for stored items in building | |
| JP2011247514A (en) | Equipment control device, and program | |
| JP2019522596A5 (en) | ||
| JP4448236B2 (en) | Shipment method of metal products using dew condensation prediction system | |
| JP4172552B2 (en) | Condensation prevention method and condensation prediction device for metal products in yard | |
| JP5206602B2 (en) | Air conditioning control device, air conditioning control method, and air conditioning control program | |
| JPH1088935A (en) | Device for preventing dew condensation of lighting window | |
| JP3859360B2 (en) | Differential fire alarm | |
| JP4969886B2 (en) | Building diagnostic system | |
| CN118066617A (en) | Anti-condensation control method, device, equipment and storage medium | |
| US9213023B2 (en) | Building moisture content certification system and method | |
| WO2016198681A1 (en) | Method for the detection of an open ventilation opening | |
| CN114187745A (en) | Semiconductor gas sensor, compensation method thereof, alarm method and alarm | |
| CN115599057B (en) | A method, system and equipment for assembling building components based on CS building system | |
| JP2024051389A (en) | Condensation risk prediction system and program | |
| JP2006153787A (en) | Apparatus for predicting atmosphere information | |
| JP2002002921A (en) | Prevention of dew condensation on metal products in storage warehouse | |
| KR102553648B1 (en) | real-time monitorig system of logistics | |
| JPS6333622B2 (en) | ||
| JP2002269622A (en) | Life evaluation system | |
| JP2018165111A (en) | Condensation prevention system and warning / condensation prevention system | |
| JP2023042382A5 (en) |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| A621 | Written request for application examination |
Free format text: JAPANESE INTERMEDIATE CODE: A621 Effective date: 20060905 |
|
| A977 | Report on retrieval |
Free format text: JAPANESE INTERMEDIATE CODE: A971007 Effective date: 20090511 |
|
| A131 | Notification of reasons for refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A131 Effective date: 20090515 |
|
| A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20090710 |
|
| TRDD | Decision of grant or rejection written | ||
| A01 | Written decision to grant a patent or to grant a registration (utility model) |
Free format text: JAPANESE INTERMEDIATE CODE: A01 Effective date: 20100119 |
|
| A01 | Written decision to grant a patent or to grant a registration (utility model) |
Free format text: JAPANESE INTERMEDIATE CODE: A01 |
|
| A61 | First payment of annual fees (during grant procedure) |
Free format text: JAPANESE INTERMEDIATE CODE: A61 Effective date: 20100122 |
|
| FPAY | Renewal fee payment (event date is renewal date of database) |
Free format text: PAYMENT UNTIL: 20130129 Year of fee payment: 3 |
|
| R151 | Written notification of patent or utility model registration |
Ref document number: 4448236 Country of ref document: JP Free format text: JAPANESE INTERMEDIATE CODE: R151 |
|
| S533 | Written request for registration of change of name |
Free format text: JAPANESE INTERMEDIATE CODE: R313533 |
|
| FPAY | Renewal fee payment (event date is renewal date of database) |
Free format text: PAYMENT UNTIL: 20130129 Year of fee payment: 3 |
|
| R350 | Written notification of registration of transfer |
Free format text: JAPANESE INTERMEDIATE CODE: R350 |
|
| FPAY | Renewal fee payment (event date is renewal date of database) |
Free format text: PAYMENT UNTIL: 20140129 Year of fee payment: 4 |
|
| S533 | Written request for registration of change of name |
Free format text: JAPANESE INTERMEDIATE CODE: R313533 |
|
| R350 | Written notification of registration of transfer |
Free format text: JAPANESE INTERMEDIATE CODE: R350 |
|
| LAPS | Cancellation because of no payment of annual fees |