KR102204237B1 - Integrated yield management system using cloud service - Google Patents

Abstract

The present invention relates to an integrated yield management system which uses a cloud service to improve the reliability and convenience of task processing and improve the yield. According to the present invention, the integrated yield management system using a cloud service comprises: a local terminal (10) which measures data in a raw material producing area, an intermediate storage, and a factory; a cloud server (20) which collects and processes measurement data from the local terminal (10) and transmits data or information obtained by processing the data to the local terminal (10) in response to a request from the local terminal (10); and a network (30) which enables data transmission/reception between the local terminal (10) and the cloud server (20). The measurement data includes an inflow amount, an outflow amount, a production amount, an inflow date, an outflow date, a production date, a temperature, a pressure, a speed, and a measurement time of a raw material, an intermediate material, and a final material. The cloud server (20) is a hybrid cloud type which is divided into a private cloud server (21) and a public cloud server (23). The private cloud server (21) is used to implement a task system that is used only in a specific raw material producing area, a specific intermediate storage, a specific factory, or a task system that belongs to a specific tool. The public cloud server (23) is used for storage and distributed processing of the measurement data.

Description

Integrated yield management system using cloud {INTEGRATED YIELD MANAGEMENT SYSTEM USING CLOUD SERVICE}

The present invention relates to a management system for a production system in which large-scale raw materials such as oil refineries and chemical plants are processed and each step of the process is distributed at home and abroad, and more particularly, improvement in reliability and convenience of business processing using a cloud, and yield It relates to an integrated yield management system with improved improvement.

In general, chemical plants that produce oil, gas, acids, bases, and etchants convert raw materials into intermediate materials through a number of processes, leading to the production of final materials.

'Patent Document 1'is an example of such a chemical plant management system, and FIG. 1 is a configuration diagram of a conventional chemical substance management system. The conventional chemical substance management system is a chemical substance database (3) that stores chemical substance information on chemical substances supplied to the chemical plant (1), product information that is a raw material for chemical substances, and information on business partners that supply product information. ; LDAR, which measures the amount of leakage using a chemical substance meter, checks and manages it from chemical substance information, and manages the safety history of the piping equipment in which the amount of leakage occurs when chemical substances leak from the piping equipment included in the chemical plant (1). It consists of a system (5) and a PRTR system (7) that manages atmospheric information, water system information, movement amount information, and accident information that calculates the emission of chemical substances discharged when chemical substances are discharged to the outside from the chemical plant (1). , Monitor the condition of chemical substances from distribution, supply and discharge of chemical substances used in the chemical plant (1).

Since most chemical plants supply various raw materials from various places and produce intermediate substances through a number of processes to produce final substances, different regions, different container raw materials, intermediate substances, and the amount and state variables of the final substances If it is not consistently monitored and responded appropriately, effective production yields cannot be achieved.

However, the conventional chemical substance management system is a system that monitors after the raw material has reached the chemical plant, so the supply and distribution status from the raw material production center, the loss from the production center to the intermediate storage, and from the production center through the intermediate storage to the chemical factory. It is not possible to know the loss or time required for the route. Therefore, there is a problem in that it is not possible to grasp the optimal distribution channel for effectively producing the final material or the amount of raw material or intermediate material that can be produced without abnormality in the target amount of the final material.

KR 10-2015-0106592 A (2015. 9. 22.)

The present invention was conceived to solve the above problems, and the problem to be solved by the present invention is that it is possible to grasp the quantity of raw materials at each stage or within each stage of the production site, intermediate storage, and chemical plant, and thus the raw material production site- It is to provide an integrated yield management system capable of grasping the amount of loss and distribution period of substances ranging from intermediate storage to chemical plants.

The integrated yield management system using the cloud according to the present invention comprises a local terminal for measuring data in a raw material production area, an intermediate storage, and a factory; A cloud server that collects and processes measurement data from the local terminal and transmits data or processed data to the local terminal in response to a request from the local terminal, and a network that enables data transmission and reception between the local terminal and the cloud server As a system composed of, the measurement data includes raw material, intermediate material, and final material inflow, outflow, production, inflow date and time, outflow date, production date, temperature, pressure, speed, measurement time, and the cloud server is private As a hybrid cloud type that is divided into a cloud server and a public cloud server, the private cloud server is used to implement a business system that is used only in a specific raw material production area, a specific intermediate storage, a specific factory, or a business system that is dependent on a specific equipment, and is a public cloud. The server is characterized in that it is used for storage and distribution processing of the measurement data.

The integrated yield management system using the cloud according to the present invention can monitor the amount of stocks and losses of raw materials or intermediate products at each stage ranging from the origin of raw materials, intermediate storage and factories from the perspective of the entire system.

Therefore, it is possible to establish an optimal supply and demand route for raw materials or to improve the distribution stage in question.

In addition, by changing the roles of the private cloud server and the public cloud server, a large amount of data can be processed at high speed at a low cost, and the security of important information can be strengthened.

1 is a configuration diagram of a conventional chemical substance management system
2 is a block diagram of an integrated yield management system using a cloud according to the present invention
Figure 3 shows a state in which water and raw materials are separately stored in a cylindrical tank
4 shows a state in which water and raw materials are separately stored in a ball tank

Hereinafter, an integrated yield management system using a cloud according to the present invention will be described in detail with reference to the accompanying drawings.

2 is a block diagram of an integrated yield management system using a cloud according to the present invention. The integrated yield management system using the cloud according to the present invention is composed of a local terminal 10, a network 30, and a cloud server 20, so that raw materials, intermediate substances, and final substances (hereinafter referred to as ``raw materials, etc. ') of inflow, outflow, production, inflow date, outflow date, production date, temperature, pressure, speed, measurement time (hereinafter referred to as'measurement data'), etc. 20), the raw material origin, intermediate storage (which can be hierarchically organized in two or more stages), and the measurement data are transmitted to the chemical plant, and the cloud server 20 processes the measurement data to derive various useful information.

The local terminal 10 is a component that can collect data from the raw material production area, or receive information from the cloud server 20 from the raw material production area, and can inquire it, a PC installed in an office such as the raw material production area, and a smartphone carried by field workers. Or a smart device such as a smart pad, a notebook PC, or an input/output device capable of network communication. For example, when the amount of crude oil collected on May 1, 2020 from the first petroleum production area is input through the smartphone of the field worker along with the inflow date and time as the raw material inflow amount, the cloud server 20 Increase the reserves by the inflow amount, and if crude oil is spilled on May 3, 2020, the crude oil reserves in the first petroleum production area are reduced by the outflow amount, and then the crude oil inflow to the first intermediate storage is increased on May 5, 2020, and so on. Can be processed. At this time, if there is an outflow, that is, loss of crude oil while reaching the first petroleum production area from the first intermediate storage area, the crude oil inflow amount of the first intermediate storage area should be a value obtained by subtracting the amount of loss from the crude oil outflow amount of the first oil production area. If such processing is performed by a person such as a field worker, since there is a possibility of an error due to omission or error, it is preferable that data such as an inflow amount are automatically measured by a sensor and input to the local terminal 10. This will be described later.

An IPsec-VPN firewall 11 is provided in a local network to which the local terminal 10 belongs, for example, a local network of the first oil producing area, so that the local terminal 10 passes through the IPsec-VPN firewall 11 and the network 30 It is preferable to be connected to. Because, since various measurement data collected in the cloud server 20 corresponds to the company information of the company operating the chemical plant, security can be enhanced by encrypting communication using IPsec between the local terminal 10 and the cloud server 20. Because there is. When the IPsec-VPN firewall 11 is provided in the local network, the cloud server 20 is also provided with a VPN gateway 25 corresponding thereto. If security through VPN is not possible, communication must be performed through a dedicated line. Although it has the advantage of high security, there is a disadvantage that the construction cost is enormous and maintenance is required.

The cloud server 20 is a component that collects and processes measurement data from the local terminal 10, and transmits data or processed data to the local terminal 10 in response to a request from the local terminal 10, It is preferable that it is a hybrid cloud type that is divided into a private cloud server 21 and a public cloud server 23.

The private cloud server 21 is a business system that is used only in a specific raw material production area, or is used to implement a business system that is subordinate to a specific equipment, or is one of the information or measurement data obtained by processing big data of security-critical data, that is, measurement data. It can be used to store data that is problematic when disclosed. Since it is not an on-premises system, it is possible to quickly and easily increase resources even if there is an increase in business systems and private conversion of previously disclosed data.

The public cloud server 23 can be used for storage or distributed processing of measurement data. Since measurement data is accumulated to form big data, it is not efficient to store and process all of it in the private cloud server 21. Therefore, after storing measurement data at a level with relatively low security risk in the public cloud server 23, after grouping by relevant data, redundant data is removed, and map-reduce is performed to extract target data. B. By storing the result value only in the private cloud server 21, both security and efficiency can be achieved.

An example of using the public cloud server 23 is by tracking the efficient movement path of resources such as raw materials (here, efficiency is a concept including time or difficulty of movement), thereby changing the amount of raw materials inflow from a specific raw material production area or via a specific intermediate storage. This is to improve the overall yield. For example, when the difference between the amount of crude oil inflow (the same as production here) and the outflow in 2020 for the first year in 2020 is converted into cost, that is, the loss cost is less than the loss cost for the same period of the first oil production area. If other conditions are the same, it is possible to increase the degree of supply and demand of raw materials from the second petroleum producing area. In addition, when the amount of storage in the second intermediate storage is less than the loss cost of the same period of the loss of the first intermediate storage, the amount of gas passing through the second intermediate storage may be increased. In this way, it is possible to track the path that minimizes the amount of loss from the public cloud server 23 to the raw material production center, intermediate storage, and chemical plant, and transmit it to the private cloud server 21.

The above example considers only the cost of losses, but in practice the time and cost of moving raw materials should be included. For example, the second intermediate storage may not be adopted because the loss cost is low, but it is far from oil producing areas or is difficult to transport. Therefore, the cost of loss from the raw material origin + the cost of moving from the raw material origin to the intermediate storage (including the cost of moving between the intermediate storage if there is a movement between the intermediate storage) + the loss cost from the intermediate storage + the path that minimizes the transportation cost from the final intermediate storage to the chemical plant Can be found and delivered to the private cloud server 21. At this time, if there are restrictions on the time limit and distribution volume, for example, if 1,000 tons of raw materials must be delivered from the raw material production center to the chemical plant within one month, among the routes that satisfy the above restrictions, the route that minimizes transportation and loss costs. Can be found and delivered to the private cloud server 21. Alternatively, among the cases in which all paths and costs are delivered to the private cloud server 21 and the limitations are satisfied in the private cloud server 21, a path that minimizes movement and loss costs may be adopted.

The network 30 is a component that enables data transmission and reception between the local terminal 10 and the cloud server 20, and may be a MAN, WAN, Internet, or a dedicated network depending on the range and degree of distribution of raw materials, etc., public cloud The Internet is most suitable due to the nature of the present invention, which is advantageous to use.

Next, data measurement by a sensor in the local terminal 10 will be described. The system according to the present invention is a system suitable for chemical plants, especially oil refineries, and in Korea, major crude oil importing countries are diversified into the Middle East such as Saudi Arabia and Kuwait, North and Central America such as Mexico and the United States, Russia, the United Kingdom, etc. This also applies to companies. As regions or people's temperament are different, the measurement accuracy of logistics and the period of business processing are also varied, so when a person measures and inputs it to the local terminal 10, it is difficult to accurately monitor the entire system. Particularly, very inaccurate results may be derived from path selection performed by the cloud server 20, and in the case of crude oil, since the volume of goods is very large, a large cost loss may occur even with a small difference.

In the chemical industry as well, in the oil refinery industry, it is important to accurately calculate the amount of stored raw material according to the shape of the container, as the types of tanks are diverse, such as floating roof tanks, ball tanks, cone roof tanks, etc. In particular, in the case of the oil refining industry, as water is separated from crude oil or a substance in an intermediate process, the amount corresponding to the actual raw material becomes smaller than the volume determined by the shape of the container and the top height of the contents. Therefore, it is necessary to separate and measure the amount of water and the amount of raw materials in the container. In the present invention, the level of water and the level of raw materials are detected at once by an optical method. If only the water level is detected, the amount of water and raw materials can be calculated according to the shape of the container. Therefore, regardless of whether the container is cylindrical, ball or cone loop type, the volume of raw materials can be derived.

FIG. 3 shows a state in which water and raw materials are separately stored in a cylindrical tank, and FIG. 4 illustrates a state in which water and raw materials are separately stored in a ball tank.

In the present invention, in order to determine the water level of water (W) and raw material (P) at the same time by optical method, a light source 41, for example, a laser is installed at an angle to the bottom of the tank 40, and the surface where the light of the light source touches, a cylindrical tank An optical sensor 43 is installed on the inner surface of the ramen cylinder and the inner surface of the ball tank, and a raw material sensor 45 capable of measuring the level of the raw material, for example, an ultrasonic sensor, is installed on the tank ceiling. In addition, when measuring the water level of water and raw materials, the light source 41 is irradiated to detect the height and intensity at which the light reaches the optical sensor 43. In order to accurately know the height at which the light reaches, a plurality of optical sensors 43 may be installed perpendicular to the inner surface of the cylinder or in an arc shape along a spherical surface.

In Figure 3, the optical path in water x ₁ , the optical path in the raw material x ₂ , the optical path in the air x ₃ , the refractive index of water n ₁ , the refractive index of the raw material n ₂ , the refractive index of air is 1, the light source 41 Let the irradiation be tilted at an angle of θ ₁ in this vertical direction and the intensity is I ₀ . Since the refractive index of water n ₁ is about 1.333 and the refractive index n ₂ of raw material (crude oil) is about 1.492 (and most liquid chemicals have a higher refractive index than that of water), Snell at the interface between water and raw materials and between raw and air Refraction occurs as shown in Fig. 3 according to the law of (the light travel direction in the raw material forms an angle of θ _{1 with} the vertical direction). Therefore, the light irradiated from the light source can reach the optical sensor 43 of height h inside the cylinder, and the following [Equation 1] is established.

And, since Snell's law works at the interface between the water and the raw material and the boundary between the raw and air, the following [Equation 2] and [Equation 3] are established.

은 상수와 같고, 따라서 h는 x₁과 x₂의 방정식이 된다.However, since the height of the raw material surface can be measured with the ultrasonic sensor 45 and the height H of the container is also known,

Is equal to a constant, so h is the equation of x ₁ and x ₂ .

Next, when the attenuation constant of the electric field in the medium is α+iβ, the magnitude E of the electric field is equal to the following [Equation 4] for the traveling direction t, and the intensity of light I ₀ is equal to the square of the magnitude E of the electric field. When the attenuation constant is α ₁ +iβ ₁ and the attenuation constant of the raw material is α ₂ +iβ2, the intensity I of light reaching the optical sensor 43 is derived by the following [Equation 5] (reflected from the interface between water and raw material) Can be ignored).

If we take the logarithm of both sides of [Equation 5], I becomes the equation of x ₁ and x ₂ as shown in [Equation 6].

Therefore, by solving the two-way system of equations of [Equation 1] and [Equation 6], x ₁ and x ₂ are obtained, and the heights of water and raw materials can be obtained by multiplying these by cosθ ₁ and cosθ ₂ . .

This method is particularly suitable when the water-medium interface cannot be identified outside the container.

을 상수처럼 처리할 수 있으므로, [수학식 1] 내지 [수학식 6]의 과정을 그대로 적용하여 물과 원료의 높이를 각각 구할 수 있다(R은 볼 탱크의 반지름).In the case of the ball tank, a value corresponding to h can be determined according to the position of the optical sensor 43 as shown in FIG. 4, and the height of the raw material surface is measured with the ultrasonic sensor 45.

Since can be treated like a constant, the heights of water and raw materials can be obtained by applying the process of [Equation 1] to [Equation 6] as it is (R is the radius of the ball tank).

10 Local terminal 11 IPsec-VPN firewall
20 Cloud Server 21 Private Cloud Server
23 Public Cloud Server 25 VPN Gateway
30 network 40 tank
41 Light source 43 Light sensor
45 raw material sensor

Claims (5)

A local terminal 10 for measuring data in raw material origin, intermediate storage and factory;
A cloud server 20 that collects and processes measurement data from the local terminal 10, and transmits data or processed data to the local terminal 10 in response to a request from the local terminal 10, and
It is composed of a network 30 that enables data transmission and reception between the local terminal 10 and the cloud server 20,
The measurement data includes raw material, intermediate material, inflow amount of final material, outflow amount, production volume, inflow date and time, outflow date and time, production date and time, temperature, pressure, speed, and measurement time,
The cloud server 20 is a hybrid cloud type consisting of a private cloud server 21 and a public cloud server 23 separately,
The private cloud server 21 is used to implement a business system dependent on a specific raw material production center, a specific intermediate storage, a specific factory, or a specific equipment,
The public cloud server 23 is used for storage and distribution processing of the measurement data, and the public cloud server 23 tracks the efficient movement path of resources including raw materials, thereby As an integrated yield management system using the cloud that can improve the overall yield by changing the diesel oil,
For a cylindrical tank or ball tank equipped with a light source 41 installed at an angle on the lower surface, an optical sensor 43 installed on the inner surface, and a raw material sensor 45 installed on the ceiling to measure the raw material level, the following [Equation 1] And [Equation 6] to calculate the amount of raw materials of the cylindrical tank or the ball tank, characterized in that the integrated yield management system using a cloud {however, x ₁ is The light path in water, x ₂ is the light path in the raw material, x ₃ is the light path in the air, the refractive index of air is 1, θ ₁ is the angle at which the light source 41 is irradiated by tilting in the vertical direction, θ ₂ is the light source When the light from (41) is refracted at the interface between the water and the raw material and enters the raw material, θ ₃ is when the light from the light source 41 is refracted at the interface between the raw material and air and enters the air. Refraction angle of, I ₀ is the intensity of the light source, I is the intensity of light measured by the optical sensor 43 through water, raw materials, and air, and h is irradiated by the light source 41 The height at which the light reaches the inner surface of the cylindrical tank or ball tank, x ₃ cosθ ₃ is a constant measured by (h-the raw material level measured by the raw material sensor 45), α ₁ is the real part of the attenuation constant of water _, α ₂ is the real part of the damping constant of the raw material}.
[Equation 1]

[Equation 6]

The method according to claim 1,
An IPsec-VPN firewall 11 is provided in the local network to which the local terminal 10 belongs, so that the local terminal 10 is connected to the network 30 through the IPsec-VPN firewall 11, and a cloud server ( An integrated yield management system using a cloud, characterized in that a VPN gateway 25 corresponding thereto is provided in 20) so that the local terminal 10 is connected to the cloud server 20 through the VPN gateway 25.
The method according to claim 1,
After storing measurement data with low security risk in the public cloud server 23, after grouping by relevant data, redundant data is removed, and map reduction is performed to extract target data, and then important data or result values are recalled. Integrated yield management system using a cloud, characterized in that stored only in the private cloud server (21).
delete The method according to claim 1,
Cloud, characterized in that, when the loss cost, which is a value converted from the difference between the inflow and outflow of the raw material in a specific raw material production region, is less than the loss cost in the same period of another raw material production region, the degree of supply and demand of raw materials from the specific raw material production region Integrated yield management system using.

Images