KR20200065885A - Apparatus for tracking raw materials in real time - Google Patents

Abstract

The present invention is to provide a device for tracking fuel and raw materials in real time, which can track logistic of fuel and raw materials in a bulk form. According to one embodiment of the present invention, the device may comprise: a transport facility operation/status data collection unit collecting facility operation information and sensor data for transporting fuel and raw materials in real time; a transport facility layout management unit managing a connection relationship between transport facilities for transporting the fuel and raw materials; a measurement sensor use determination unit determining whether a sensor for detecting transport of the fuel and raw materials is used; a real-time tracking unit tracking a transportable path and a location of the fuel and raw materials based on the data collected by the transport facility operation/status data; and a logistic analysis unit making a database on and analyzing the information tracked in real time by the real-time tracking unit.

Description

Real-time tracking device for raw materials{APPARATUS FOR TRACKING RAW MATERIALS IN REAL TIME}

The present invention relates to a real-time tracking device for fuel costs.

In general, in the molten iron production in the blast furnace, iron ore and coke are charged by particle size from the upper part of the blast furnace, and when hot air of 1200°C and pulverized coal and oxygen are blown from the tuyere at the bottom of the blast furnace, a melt is generated by a reduction reaction in the furnace and melts through the outlet. It is made by separating pig iron and slug from Daetangdo and sending only pure molten iron to the steel mill.

In such a blast furnace operation, the state of distribution of fuel and raw materials charged inside the blast furnace (referred to as a'profile') must be stabilized so that the gas in the furnace flows smoothly, reducing and melting iron ore under good conditions, and improving the utilization rate of the gas in the furnace. It can reduce fuel costs and manufacture high quality molten iron to perform operations economically and improve productivity and extend blast furnace life.

That is, the quality information of the fuel material charged to the blast furnace is very important, but in the past, it depends only on a specific sensor, so the origin, transport path, and destination of the fuel material are unknown, and in the form of a bulk with many changes in shape. There is a problem in that there are many limitations in using it for tracking raw material logistics.

Republic of Korea Registered Patent Publication No. 10-0432501

According to an embodiment of the present invention, there is provided a real-time tracking device for tracking fuel costs in a bulk form.

In order to solve the above-described problems of the present invention, the real-time fuel raw material tracking device according to an embodiment of the present invention is a transport facility operation/status data collection unit that collects real-time facility operation information and sensor data for transporting the raw material. A transfer facility layout management unit that manages a connection relationship between transfer facilities for transporting soft materials, a measurement sensor use determination unit for determining whether or not to use a sensor for detecting the transfer of soft material, and the transfer facility operation/status data collection unit It may include a real-time tracking unit for tracking the transportable route and location of the raw material based on the data collected by, and a logistics analysis unit to database and analyze the information tracked in real time by the real-time tracking unit.

According to an embodiment of the present invention, it is possible to minimize the transfer of erroneous fuel feedstocks, and it is also possible to identify in advance that different feedstocks of different quality are mixed, and to respond to them, and to advance such logistic problems on the blast furnace side. It has the effect of being able to grasp in advance and conduct pre-response operations such as perspiration and photosensitive.

1 is a schematic configuration diagram of a real-time tracking device for raw materials according to an embodiment of the present invention.
2 is a schematic configuration diagram of a transport facility operation/status data collection unit of a real-time tracking material for fuel raw materials according to an embodiment of the present invention.
3 is a schematic configuration diagram of a transport facility layout management unit of a real-time tracking material for raw materials according to an embodiment of the present invention.
4 is a schematic configuration diagram of a real-time tracking unit of a real-time tracking device for raw materials according to an embodiment of the present invention.
5 is a schematic configuration diagram of a determination unit for whether a measurement sensor is used in a real-time tracking device for fuel consumption according to an embodiment of the present invention.
6 is a schematic configuration diagram of a logistic analysis unit of a real-time tracking material for raw materials according to an embodiment of the present invention.
7 is a schematic operational flow diagram of a real-time data collector of a transport facility operation/status data collection unit of a real-time tracking material for fuel raw materials according to an embodiment of the present invention.
8 is a schematic operation flow diagram of a data generator of a transport facility operation/status data collection unit of a real-time tracking material for fuel raw materials according to an embodiment of the present invention.
9A to 9C are schematic operational flowcharts of a real-time tracking unit and a measurement sensor determining unit of a real-time tracking device for fuel consumption according to an embodiment of the present invention.
10 is a view showing a belt feed time correction of a real-time tracking material for raw materials according to an embodiment of the present invention.
11A and 11B are diagrams illustrating correction of a position for transporting fuel material in a real-time tracking device for fuel material according to an embodiment of the present invention.
12 is a view showing the location data of the raw material transfer of the real-time tracking material tracking material according to an embodiment of the present invention.
13 is a view showing a vehicle transport-wapping match of the real-time tracking material for fuel consumption according to an embodiment of the present invention.
14 is a view showing the transfer of fuel raw materials between the transportable path detector-belt transfer time compensator-transfer processor of the real-time tracking material for fuel raw materials according to an embodiment of the present invention.
15 and 16 are views showing an abnormal amount of a sensor in a transport processor of a real-time tracking device for fuel raw materials according to an embodiment of the present invention.
FIG. 17 is a diagram for detecting a mixture of fuel materials of different qualities through a transport processor of a real-time tracking material for fuel materials according to an embodiment of the present invention.

Hereinafter, preferred embodiments will be described in detail with reference to the accompanying drawings so that those skilled in the art to which the present invention pertains can easily implement the present invention.

1 is a schematic configuration diagram of a real-time tracking device for raw materials according to an embodiment of the present invention.

Referring to Figure 1, the real-time raw material tracking device according to an embodiment of the present invention includes a transport facility operation/status data collection unit 100, a transport facility layout management unit 200, a measurement sensor usage determination unit 300, Real-time tracking unit 400 and logistics analysis unit 500 may be included.

The transport facility operation/status data collection unit 100 may collect data of various facility operation conditions, states, and sensors in real time for transporting raw materials.

The transfer facility layout management unit 200 can manage the connection relationship between all facilities, and track the transfer route of the raw material using the connection relationship information.

The measurement sensor usage determination unit 300 may analyze the state/measurement data of each sensor to inform whether it is used when tracking. Using this information, it is possible to determine which sensors can be used for coke tracking.

The real-time tracking unit 400 may track the current location and the transportable route of the raw material based on the collected information. For example, it may be possible to track not only coke logistics in one unit factory, but also coke logistics between factories.

The logistics analysis unit 500 can make a database of information tracked in real time, and use it to analyze past logistics, belt usage, and the like.

In addition, the factory 600 and the transportation instruction device 700 may be further included.

Each factory may include a transport facility unit 601, a transport facility control unit 602, a transport facility information management unit 603, and a transport facility interface unit 604.

The transfer facility unit 601 includes, for example, coke among fuel materials, warp, dry fire quenching (CDQ), dry fire extinguishing facility bunker (CDQ bunker), bunker, coke bin, empty level sensor, belt way Uh, it may include a belt level sensor, a belt conveyor and a damper.

The warp can prevent the oxidation of coke dried in the oven and collect the digested cocos before being loaded onto a belt to lower it to a temperature suitable for transport.

The dry fire extinguishing facility (CDQ) can prevent the oxidation of coke dried in the oven and extinguish the coke by removing oxygen to lower it to a temperature suitable for transport.

The dry fire extinguishing facility bunker (CDQ bunker) may be a temporary inventory storage that temporarily collects coke produced from CDQ at the coke plant side.

The belt conveyor is a belt facility used for transporting coke, and the damper may be a facility that determines the direction to which belt to transport when there are multiple exit belts connected to one belt.

The beltway is a meter inserted in the middle of the belt, and can measure the instantaneous weight of coke passing through the part where the meter is installed, and the belt level sensor can be a meter that measures the height of coke transferred from the belt, and the bunker Can be collected temporarily by selecting the coke being transported according to the size.

The coke bin may be an inventory store that temporarily collects coke transported from the coke plant at the blast furnace side, and the bin level sensor may be a measuring instrument for measuring the height of coke accumulated in the coke bin.

The coke transport facility control unit 602 is responsible for controlling the coke transport facility, can provide operation data related to control, and the transport facility information management unit 603 manages the state information of the fuel feed transport facility and the facility status Data can be provided. The transfer facility interface unit 604 may transmit operation information and facility information related to coke transfer to the transfer facility operation/status data collection unit 100.

The transport instruction device 700 may include a vehicle transport facility unit 701, a vehicle transport command unit 702, a vehicle transport management unit 703, and a vehicle transport facility interface unit 704.

The vehicle transport facility unit 701 includes, for example, coke among the fuel costs, a yard for loading coke, a transport vehicle transporting coke from a yard to a designated place, a position sensor for recognizing the position of the transport vehicle, and a weight of the transport vehicle It may include a vehicle weight sensor for recognizing.

The vehicle transport command unit 702 serves to command a start point, an arrival point, a stop point, and the like of vehicle transport, and may provide command data. The vehicle transportation information management unit 703 manages status information of all facilities related to vehicle transportation and may provide facility status data.

The vehicle transport facility interface unit 704 may transmit command information and transport status information related to vehicle transport to the transport facility operation/status data collection unit 100.

2 is a schematic configuration diagram of a transport facility operation/status data collection unit of a real-time tracking material for fuel raw materials according to an embodiment of the present invention.

Referring to FIG. 2 together with FIG. 1, the transfer facility operation/status data collection unit 100 may collect each performance data in real time. The transport facility communication interface 101 is a communication interface that commands the collection of facility operation results of the Level 1 Distributed control system (DCS) related to the coke process, and receives performance data for this. The used TCP and UDP can be used as a communication protocol, and depending on the characteristics of the level 1 system, a unique protocol unique to the level 1 system may be inserted into the TCP or UDP packet.

The vehicle transport communication interface 102 is a communication interface that receives performance data on the location, status, etc. of a vehicle transporting yard coke, for example, coke, which can be commonly used TCP, UDP. In the place managed by the Level 3 Manufacturing Execution System (MES), protocols of EAI (Enterprise Application Interface) based on TCP or UDP can be inserted and used.

The real-time data collector 103 may instruct the operation/status data collection of the transfer facility, collect performance data on this, and the facility operation/status target information to be collected may be configured using a collection target database. In addition, to ensure fast responsiveness, collected performance data can be managed as a data queue without any additional processing, and data queue can be backed up in real time to the data storage device in 1 second increments to ensure data stability. To ensure faster backups, you can also use a memory-mapped file (MMF).

The data generator 104 is responsible for transforming and generating the collected driving/status data into short-term storage data and long-term storage data according to the purpose, so that data can be taken one by one from the driving/status data queue and stored for more than one year. Can be stored in the database. In addition, in order to use the raw material for real-time tracking, it is stored in the integrated short-term storage data 401 of the real-time tracking unit 400. Integrated short-term storage data requires fast access, so it can be managed based on memory or memory map files, and if an attempt to store it as long-term storage data fails, to ensure data safety and to ensure the processing of other long-term storage data. The data having the problem is converted and transmitted to database structured query language (SQL) command data so that the processing error data reprocessor 105 can retry storage.

The processing error data re-processor 105 is responsible for collecting data that the long-term storage attempt failed in the data generator 104 and attempting to store it again. Try saving again. At this time, the data queue in which a processing error occurs is composed of S-Q-L commands, and the queue may be managed using a memory or a memory map file for quick processing.

The collection target database 106 may provide information on a target of a facility to be collected, a communication interface, etc. When operation/status information for a new facility is defined in this database, a real-time data collector periodically reads this database. Data can be collected automatically.

The data storage device 107 is a place for storing the operation/status data queue stored in the real-time data collector in order to ensure data safety, and has all the connection information of the queue, so that even if a system error occurs and restarts, the existing data remains the same. It is possible to read and process.

The long-term storage database 108 is a database used for long-term storage of operation/status data collected through a data generator, and is easy to insert/delete/search, so the logistics analysis unit 500 can use this database for long-term trend analysis. Can be.

7 is a schematic operational flow diagram of a real-time data collector of a transport facility operation/status data collection unit of a real-time tracking material for fuel raw materials according to an embodiment of the present invention.

First, the real-time data collector 103 first collects operation/status data for each transfer facility (S12). Thereafter, the collected data is inserted into the data queue (S13). After inserting, it is checked whether the current time is the time to periodically back up the data queue contents to the storage device (S14), and if the cycle has expired, a new backup is required, so the operation/state data queue is backed up in real time to the storage device (S15). ). If the real-time backup cycle has not yet been completed, the operation waits until the existing cycle for collecting operation/status data expires (S16) and then starts collecting new data after the cycle expires.

8 is a schematic operation flow diagram of a data generator of a transport facility operation/status data collection unit of a real-time tracking material for fuel raw materials according to an embodiment of the present invention.

The data generator 104 extracts one data from the data queue of the real-time data collector 103 (S22) and then uses it to generate short-term storage data and long-term storage data (S23). The short-term storage data is stored in the integrated short-term storage data managed by the real-time tracking unit 400 (S24). The long-term storage data is stored in the long-term storage database 108 (S25). However, if there is an error in storing long-term storage data due to system load, DB abnormality, etc. during storage of long-term storage data (S26), processing errors generated by the data re-processor 105 are stored in the database in the data queue. Data is inserted in the form of S-Q-L (SQL) (S27). This is necessary in order to minimize the load that the processing error data reprocessor 105 converts data into S-Q-L (SQL) statement form. When the operation for all processing errors occurs, new data is extracted from the data queue to continue the operation (S28).

3 is a schematic configuration diagram of a transport facility layout management unit of a real-time tracking material for raw materials according to an embodiment of the present invention.

With reference to FIG. 1, referring to FIG. 3, the transfer facility layout management unit 200 may manage connection relations of all facilities related to coke transfer.

The set integrity checker 201 checks whether there is no problem with the setting specified in the layout setting file and serves to inform the user with an alarm. For example, it is possible to check whether a connection facility name or a sensor name that does not exist is used.

The facility layout data generator 202 may generate facility layout data that is connection information between all facilities in the layout setting file.

The facility layout data access interface 203 may provide an interface for reading and modifying facility layout data information. Only through this interface can the layout display HMI or the real-time tracking unit 400 access data to ensure data integrity.

The facility layout data 204 contains connection time between each facility and time required for specification when transporting each belt conveyor. The real-time tracking unit 400 uses this data to manage detailed data such as the status of the entire facility and the belt conveyor transfer time. This data can be managed in the form of a linked-list or a directed acyclic graph (DAG).

The setting storage device 205 contains a setting file for each facility in charge of transferring the raw materials, and the setting can be managed in the form of text, XML, and the like.

4 is a schematic configuration diagram of a real-time tracking unit of a real-time tracking device for raw materials according to an embodiment of the present invention.

With reference to FIG. 1, referring to FIG. 4, the real-time tracking unit 400 can track the actual position and transport length of the raw material being transported.

The integrated short-term storage data 401 may store and store the short-term storage data generated through the data generator 104 of the transport facility operation/status data collection unit 100 in one space. For ease of data classification, it can be divided into factory and vehicle transportation and managed, but there is no limitation. For quick processing, it can be managed using memory or memory map files.

The transportable path detector 402 serves to analyze driving data for long chutes and dampers that affect the transport path of the raw material among short-term storage data.

For long suits and dampers, the transport path is determined by the operation method.

In the long suit facility, when the belt located at the bottom stops, the fuel is filled in the suit and the transfer direction is changed to the belt at the top. The damper method is a method of determining the transfer direction using the damper direction in the chute, and the transfer path is determined by combining one or several dampers.

The belt feed time compensator 403 has a hardware belt feed speed specification, but the actual feed speed is different depending on the situation due to the amount of fuel material loaded on the belt and slip phenomenon due to the contact state between the belt and the roller. It can be detected and accurately calibrated. Therefore, it is possible to continuously correct the transfer time of the belt in order to increase the accuracy of determining the position of the fuel material in the belt.

10 is a view showing a belt feed time correction of a real-time tracking material for raw materials according to an embodiment of the present invention.

First, calculate the belt transfer time according to the hardware.

Next, the belt transfer time is recalculated using the following equation based on the actual belt motor speed (rpm) stored in the short-term storage data.

(Equation)

Transfer time = belt length/(motor connection roller circumference length/(1/rpm))

The corrected belt transfer time is updated every user-specified cycle (for example, 10 seconds), and the belt used for transferring fuel materials transfers the fuel costs within 30 seconds to within a few minutes due to hardware specifications, so that time Rather, choosing a shorter period increases tracking accuracy.

The transfer processor 404 may transfer the raw material being tracked in the belt to the next location. In addition, it is also possible to detect the mixing of fuel materials of different quality, and the cycle of the transfer processing may be mainly dependent on the time precision that the user wants to check. In the case of using for the operation of the equipment of the present invention, the transfer process was used in units of 1 second, but there is no limitation.

The transfer position compensator 405 can correct the final actual position of the coke. The belt transfer time compensator 403 is corrected to accurately calculate the position of the fuel material in the belt, but an error may exist in the calculation of the position of the fuel material due to slip phenomenon or various other reasons. Therefore, the transfer position compensator 405 can finally correct the actual position of the fuel material by utilizing all sensors present in the facility.

If it is judged by the measurement sensor whether or not to use the sensor 300 that the “sensor quantity is abnormal”, the calculation of the transfer position of the corresponding raw material is stopped after the sensor.

If it is judged to be “Force Pass” or “AutoPass”, the sensor is not used for calibration.

“Abnormal amount of sensor” is calculated as the amount of fuel fed to the specific sensor through the transfer processor 404, but it is not collected as sensor value, so there is no actual amount of fuel, and in this case, the amount of fuel tracked to date. Is deleted from tracking to avoid confusion.

"Forced Pass" is a case in which the user has forcibly set a specific sensor not to be used for the position correction of the feedstock, and in this case, the feedstock volume is processed to be passed through without being verified by the corresponding sensor.

"AutoPass" is set to be used to calculate the length or volume of fuel material volume or to correct the position after the user has verified the measured value of a specific sensor. For example, if the fuel material volume is tracked as being transported for 1 hour, if the moving average value or moving standard deviation value of the collected sensor values is little changed, it is possible to judge that the sensor has failed. Do not use it for raw material volume length, volume, or position correction.

11A and 11B are diagrams illustrating correction of a position for transporting fuel material in a real-time tracking device for fuel material according to an embodiment of the present invention.

The transfer position data 406 may manage information of a section where coke is located in each belt.

12 is a view showing the location data of the raw material transfer of the real-time tracking material tracking material according to an embodiment of the present invention.

1 is an example in which a section with and without coke in the belt is displayed as data, and can be managed using a memory or a memory map file for fast processing.

The transfer time and transfer amount of the raw material for each belt 407 may calculate the total time and the total amount of transfer time for transferring the raw material for each belt using the location data of the raw material. The collection period can be defined by the user, and can generally be collected in units of 1 hour, 24 hours, 1 month, and 1 year. The collected data is stored in the long-term storage database 108.

The sensor data collector 408 may select only sensor information such as a beltway and a level sensor from the short-term storage data and periodically transmit it to the determination unit 300 for use of the measurement sensor. For accurate logistics tracking, data can generally be delivered in 1 second increments. The short-term storage data snapshot generator 409 may generate a snapshot for the integrated short-term storage data so that the data cannot be further modified in order to leave status information of the entire facility at a specific time period. The created snapshot can be stored entirely in the database whose time is the key value.

The vehicle transport-warp joiner 410 may match the fuel cost transported by the vehicle with the time when the belt is transported through facility operation. In general, the vehicle transportation information, unlike the operation of the equipment, although the work has already been completed, there is a case where the driver directly enters the completion status of the alighting, which may cause a delay. Therefore, the information cannot be collected at the correct time point, so using coke as an example, it is not possible to know through which vehicle the yard coke entered into the warp was transported. Therefore, the vehicle transport-warp joiner 410 is used to cope with the time delay. If the disembarkation information cannot be found at the present time, it can be matched with the vehicle that showed the first appearance among the events after the disembarkation is completed.

13 is a view showing a vehicle transport-wapping match of the real-time tracking material for fuel consumption according to an embodiment of the present invention.

Referring to FIG. 13, for example, it can be seen that a vehicle transport-warp joiner 410 is used in which vehicle the coke yard coke generated from the warp is transported from.

The vehicle transportation history collector 411 may periodically collect vehicle transportation history information and store it in a long-term storage database.

14 is a view showing the transfer of fuel raw materials between the transportable path detector-belt transfer time compensator-transfer processor of the real-time tracking material for fuel raw materials according to an embodiment of the present invention.

Referring to FIG. 14, it can be seen that the real-time tracking unit 400 detects a transportable path, corrects the belt transport time, and then processes the feedstock to track the position.

15 and 16 are views showing an abnormal amount of a sensor in a transport processor of a real-time tracking device for fuel raw materials according to an embodiment of the present invention.

15 and 16, it can be seen that the transfer processor 404 guarantees the volume of the fuel material having a different length when a “sensor quantity abnormality determination” occurs by the determination unit 300 whether the measurement sensor is used.

FIG. 17 is a diagram for detecting a mixture of fuel materials of different qualities through a transport processor of a real-time tracking material for fuel materials according to an embodiment of the present invention.

Referring to FIG. 17, it can be seen through the transfer processor 404 that a mixture of soft material volumes of different qualities is detected, which is a mixture.

5 is a schematic configuration diagram of a determination unit for whether a measurement sensor is used in a real-time tracking device for fuel consumption according to an embodiment of the present invention.

Referring to FIG. 1 and FIG. 5, the measurement sensor use determination unit 300 may inform the real-time tracking unit 400 whether to use a specific sensor when tracking the position of the fuel material volume.

The short-term storage sensor data collector 301 may store the short-term storage sensor data received from the real-time tracking unit 400 in a database whose time is a key value. At this time, the collected sensor data may be data of a beltway and a belt level sensor. After storing in the database, the transport volume inspection unit instructs to proceed to the next operation.

The transport quantity checker 302 may check whether the quantity of fuel raw material passing through the sensor is a meaningful quantity through the value of the currently collected sensor.

Compared to the sensor-specific threshold value of the sensor setting storage device 205, if the quantity does not exceed the standard, it is determined that the quantity is not the actual quantity, and the information on this is notified to the sensor availability determiner, or the user knows the sensor at all Even when “Force Pass” is set not to be used, the sensor trend analyzer 303 can be notified.

In the case of some sensors, there are cases where the sensor value is continuously generated even if calibration is not performed frequently or there is no transfer of fuel material due to the limitation of the sensor or the location of the sensor installation. Therefore, it is possible to determine whether or not actual fuel prices exist based on specific criteria.

The sensor trend analyzer 303 serves to analyze sensor data values stored in the sensor data trend database 305. The moving average and moving standard deviation for a user-specified hour may be analyzed and transmitted to the sensor availability determiner 304.

For example, coke is all different in particle size, and the appearance on the belt is different, so when the coke transported on the belt is measured, the same value cannot continuously appear.

The sensor use determiner 304 may finally determine whether to use the sensor.

In general, a sensor having a problem in operation continuously generates almost the same value. The sensor availability determiner 304 analyzes the collected trend and, if the moving average or the standard deviation is less than or equal to a specific value, it may be regarded as having a problem in using the sensor and determine as “AutoPass”. Alternatively, it may be determined that the sensor to which the user directly designated “Force Pass” is also problematic.

If there is no problem with the sensor, but the current measured feedstock feed rate does not exceed the standard, it is assumed that the sensor value is incorrectly measured.

Lastly, "AutoPass", "Forced Pass", and "Sensor quantity abnormality" information can be transmitted to the real-time tracking unit 400. For reference, "Sensor quantity abnormality" is a process of moving belt conveyors with different speeds. This may occur because the length of the fuel material volume measured by the previous sensor is different (mainly when moving from a fast belt to a slow belt).

The sensor setting storage device 205 may store a file that sets whether or not to use the sensor in calculating the feed position for fuel feed.

The sensor data trend database 305 may store a sensor value by using a time value as a key value so that short-term storage sensor data can be stored and analyzed for a long period of time.

6 is a schematic configuration diagram of a logistic analysis unit of a real-time tracking material for raw materials according to an embodiment of the present invention.

Referring to FIG. 1 and FIG. 6, the logistical stone part 500 analyzes logistical performance collected through the real-time tracking unit 400 to provide data necessary for a user to determine logistics.

The user input device 501 serves to receive an object to be analyzed by the user. You can select and use past logistic recovery, on-premises transportation logistics analysis, transfer time analysis between sensors, belt conveyor efficiency analysis, and annual raw material logistics volume analysis.

The analysis target data collector 502 may read data from the snapshot database and the long-term storage database and store it in memory according to the analysis target selected by the user.

In the past, the logistic retrieval device 503 may provide a function that allows a user to view the logistic flow in chronological order as a user plays a snapshot data stored in chronological order in memory.

The premises transportation logistic analyzer 504 provides statistics of the vehicle transportation history stored in the memory in the order of date, origin, and destination. Statistical values are provided in CSV and XLS type files to provide additional analysis by hand.

The inter-sensor transfer time analyzer 505 may analyze and provide the transfer time of the raw material between any two sensors.

It can be calculated by using the difference in the time at which the head or tail of the origin volume passes through each sensor. Depending on the feed amount of the raw material, it is possible to analyze how slip occurs by comparing the transfer time between the sensor and the transfer time based on the rpm of the belt motor part.

The belt conveyor efficiency analyzer 506 may provide a ratio in which the belt has been running for a specific time in recent years, a ratio actually used for transferring coke during the running time, and an amount of coke actually transferred during the running time. Through this, it is possible to provide not only the fatigue of the belt, but also analysis data on the actual use efficiency of the belt.

The logistics amount analyzer 507 may provide analysis information according to a user-specified time how the quantity of each bin will change when all of the raw material being transported, for example, coke is supplied to the coke bin. This helps to determine whether there is a need to change the coke logistics currently in progress.

9A to 9C are schematic operational flowcharts of a real-time tracking unit and a measurement sensor determining unit of a real-time tracking device for fuel raw materials according to an embodiment of the present invention.

First, in FIG. 9A, the real-time tracking unit 400 operates to periodically update the position of the fuel material (S312).

When a new cycle begins, four tasks are performed simultaneously. First, the direction information of the long suit and the damper is checked from the integrated short-term storage data (S313). Using this, the transport direction of the long suit and the damper is updated for the equipment layout data (S314).

Second, the transfer speed information of each belt is checked from the integrated short-term storage data (S315). The length of each belt, the speed of the motor driving the belt, and the circumferential length of the roller connected to the motor are used to calculate and update the transfer time for the coke to pass through each belt (S316).

Third, vehicle transport information is checked among the integrated short-term storage data (S317). In addition, it is determined to which vehicle the fuel material admitted to the warp is transported (S318).

Fourth, sensor data such as a beltway and a level meter are checked in integrated short-term storage data (S319). The collected sensor data is transmitted to the determination unit 300 for use of the measurement sensor, and a request is made to confirm whether each sensor may be used to determine the location of the fuel fee (S320). In this case, the measurement sensor use determination unit 300 receives the sensor data (S42) and stores the collected sensor data in trend data (S43). Next, if the user checks whether or not the user has set the “Force Pass” (S44), if it is set, the “Force Pass” status is stored internally.

Next, it is determined whether the measured value collected from the current sensor is higher than a certain standard and is actually conveyed.

If it does not exceed the standard, it is stored internally in the state of "the sensor quantity is abnormal" (S45). Next, it is checked whether “AutoPass” is set by the user for the corresponding sensor (S46).

If it is, analyze the moving average and moving standard deviation for the sensor value. If there is a measured value, but the value is almost unchanged, the same value is provided as a sensor error, so it is determined as a sensor error and is stored internally in an “AutoPass” state so that it is no longer used (S47).

The result of the determination shares information to the real-time tracking unit 400 (S48).

When the operation is performed up to this step, the real-time tracking unit 400 starts to process all the data collected and transferred as much as the time period of the period of renewal of the starting fee (S321). Subsequently, the work proceeds until the work is completed for all fuel costs (S322).

The real-time tracking unit 400 processes the coke transfer as shown in FIG. 9B to track its position. Transfer processing is performed for all confirmed fuel volumes. First, it is checked whether the state of the belt conveyor to which the fuel material volume is to be transferred is ON (operating) (S323). If it is not in operation, no separate processing is performed so that the volume of the fuel is maintained at the current position (S323). If it is running, it is checked whether the current feedstock volume to be transported passes through a sensor such as a beltway or a level sensor (S324). If, if it passes through a place without a sensor, it is checked whether the corresponding volume passes through a damper or a long suit (S325). If it is determined that the corresponding volume is simply a volume to be accumulated in the bin (S326), otherwise, it simply passes through the belt conveyor, and the volume is transferred to the next position of the corresponding volume on the belt conveyor (S327). If it is a volume to be accumulated in the bin, it is treated as being transferred into the bin (S328). If the corresponding volume passes through a damper or a long suit (S325), the volume is transferred to a belt conveyor connected to the next operation (S329).

If it is confirmed that the corresponding volume is passing through the sensor (S324), it is checked whether the user has set the “Force Pass” for the sensor (S330). If set, the volume is transferred to the next position in the belt (S327). If not, it is checked whether “AutoPass” is set for the corresponding sensor (S331). If set, it is determined that a simple passage is necessary because there is a problem with the sensor (S334), and the volume is transferred to the next position in the belt (S327). If “AutoPass” is not set, check whether it is set to “above sensor volume” (S332). If not set, the sensor is operating normally and the volume is passing normally, so the volume is transferred to the next position in the belt (S327).

If it is set to “above the sensor volume,” it is a volume of fuel material that does not actually exist due to the difference in speed between the belts, so it is simply deleted so that the volume does not appear after the sensor (S333). Now, we finally start to correct the position of the volume due to belt speed difference, slip phenomenon, etc. This proceeds until the inspection of all the raw material volume is completed (S335).

The aforementioned raw material may be coke or iron ore, and may be applicable to various logistics such as coal, sintered ore, and coke.

As described above, according to the present invention, erroneous coke transfer can be minimized by controlling all logistics related to coke transfer. In addition, coke of different qualities can be identified in advance during coke transfer to enable countermeasures. In addition, by allowing the blast furnace side to grasp such logistical problems in advance, it is possible to conduct preliminary measures such as wind and light exposure. The present invention can be applied to various factories because it is based on a belt conveyor for transporting fuel and related measuring instruments.

For example, it can be applied to coal, sintered ore, and coke distribution.

The present invention described above is not limited by the above-described embodiments and the accompanying drawings, but is limited by the claims, which will be described later, and the configuration of the present invention can be varied within the scope of the technical spirit of the present invention. Those of ordinary skill in the art to which the present invention pertains can readily appreciate that such changes and modifications can be made.

100: transfer facility operation/status data collection unit
101: transfer facility communication interface
102: vehicle transport communication interface
103: real-time data collector
104: data generator
105: processing error data reprocessor
106: database to be collected
107: data storage device
108: long-term storage database
200: Coke transport facility layout management department
201: Set integrity checker
202: equipment layout data generator
203: equipment layout data access interface
204: equipment layout data
205: sensor setting storage
206: settings storage
300: whether to use the measurement sensor
301: Collect short-term storage sensor data
302: transport volume checker
303: sensor trend analyzer
304: sensor use determiner
305: sensor data trend database
400: real-time tracking
401: Collect vehicle transportation history
402: transportable path detector
403: belt transfer time compensator
404: transfer handler
405: feed position compensator
406: feed position data
407: Collecting the amount of time spent and the amount of feed for each belt
408: sensor data collector
409: Short-term archive data snapshot generator
410: vehicle transport-warp matching machine
411: Vehicle transport history collector
500: logistics analysis department
501: user input method
502: data collector to be analyzed
503: past logistic recovery
504: On-premises transportation logistics analyzer
505: transfer time analyzer between sensors
506: belt conveyor efficiency analyzer
507: Logistics Analyzer
508: data display target for analysis
600: Factory 1
601: transfer facility
602: transport facility control
603: Transfer facility information management department
604: transfer facility interface
700: Transport instruction
701: Vehicle transportation equipment department
702: Vehicle transport command
703: Vehicle transportation information management department
704: Vehicle transport facility interface

Claims (11)

A transport facility operation/status data collection unit that collects facility operation information and sensor data for transporting fuel raw materials in real time;
A transport facility layout management unit that manages a connection relationship between transport facilities for transporting the raw materials;
A measurement sensor whether or not a measurement sensor is used to determine whether to use a sensor that detects the transfer of the raw material;
A real-time tracking unit that tracks a transferable path and a location of the raw material based on data collected by the operation/status data collection unit of the transfer facility; And
Logistics analysis unit to database and analyze information tracked in real time by the real-time tracking unit
Real-time tracking device comprising a real-time tracking.
According to claim 1,
The operation/status data collection unit of the transport facility classifies and stores the collected operation/status data into short-term storage data and long-term storage data according to the use, and when storage of the long-term storage data fails, the database S-Q-L ( SQL) Real-time tracking device for converting to command data and retry saving.
According to claim 2,
The transfer facility operation/status data collection unit
A communication facility communication interface for receiving facility operation performance data related to the annual raw material process;
A vehicle transport communication interface for receiving transport data of a vehicle transporting fuel costs;
A real-time data collector that instructs collection of the facility operation result data and transportation data and collects the data;
A data generator that transforms and collects the collected data into the short-term storage data and the long-term storage data according to use;
A processing error data reprocessor that converts the data into database S-Q-L (SQL) command data and retry storage when the storage as the long-term storage data fails;
A collection target database that provides information on a target to be collected;
A data storage device for storing data collected by the real-time data collector;
Long-term storage database that stores data generated by the data generator for long-term and provides for long-term trend analysis of the logistics analysis unit
Real-time tracking device comprising a real-time tracking.
According to claim 1,
The transport facility layout management unit checks whether the layout of the facility is abnormal, and real-time tracking of the raw material for generating facility layout data having connection time between each facility and specification time required during transport of each belt conveyor.
The method of claim 4,
The transfer facility layout management unit
A set integrity checker to check whether the setting of the equipment specified in the layout setting file is abnormal;
A setting layout data generator for generating the facility layout data, which is connection information between all facilities in the layout setting file;
A setup layout data access interface that provides the equipment layout data information; And
Configuration storage device that stores configuration files for facilities that transfer fuels
Real-time tracking device comprising a real-time tracking.
According to claim 1,
The real-time tracking device for determining whether to use the characteristic sensor when the measurement sensor is used to determine whether to use the characteristic sensor when tracking the position of the fuel material volume in the real-time tracking unit.
The method of claim 6,
The measurement sensor is used to determine whether
A short-term storage sensor data collector for storing the short-term storage sensor data received from the real-time tracking unit in a database whose time is a key value;
Through the value of the currently collected sensor, the transport volume checker to check whether the quantity of fuel material passing through the sensor is a meaningful quantity;
A sensor trend analyzer for analyzing stored sensor data values;
A sensor data trend database that provides stored sensor data values to the sensor trend analyzer;
If the analysis value of the collected trend is less than a specific value, the sensor is used to determine whether there is a problem in using the sensor
Real-time tracking device comprising a real-time tracking.
According to claim 1,
The real-time tracking unit is a real-time tracking device tracking the actual position of the material being transported and the length of the transport.
The method of claim 8,
The real-time tracking unit calculates the belt transfer time according to the specifications, and recalculates the belt transfer time based on the actual speed of the belt motor stored in the short-term storage data of the operation/status data collection unit of the transfer facility to correct the transfer time of fuel. Real-time tracking of raw materials.
The method of claim 8,
The real-time tracking unit
A transportable path detector that analyzes operation data for a long chute and a damper that affects a fuel feed path from among the short-term storage data generated by the operation/status data collection unit of the transfer facility;
A belt feed time compensator for correcting a difference between the feed speed and the actual feed speed according to the hardware specifications of the belt;
A transport processor for transporting the raw material being tracked in the belt to the next position;
A transfer position compensator that corrects the actual position of the fuel material by using the sensor of the facility;
A feed time and feed amount collector for each belt for calculating the total time and the total amount of time required to transfer the raw material for each belt using the location data of the raw material transfer;
A sensor data collector which periodically transmits sensor information from the short-term storage data to the determination unit whether to use the measurement sensor;
Short-term storage data that stores the time to generate a snapshot in the database as a key value for the integrated short-term storage data that integrates and stores the short-term storage data generated through the operation/status data collection unit of the transport facility into one space. Snapshot generator;
A vehicle transport-warp matching device that matches information of fuel raw materials transported by a vehicle to a point of time when the belt is transported through facility operation; And
Vehicle transport history collector that periodically collects vehicle transport history information and stores it in the long-term storage database
Real-time tracking device comprising a real-time tracking.
The method of claim 10,
The logistics analysis department
A user input device that receives an object to be analyzed by the user;
An analysis target data collector for reading data from the snapshot database and the long-term storage database and storing the data in memory according to the analysis target selected by the user;
A past logistic retrieval device that provides a function for a user to view logistic flows in chronological order of snapshot data stored in memory in chronological order;
An on-site transportation logistics analyzer that provides statistics of vehicle transportation history stored in the memory;
Analyzing the transfer time of the raw material between any two sensors Transfer time between sensors;
A belt conveyor efficiency analyzer that analyzes the actual operating efficiency according to the ratio and the operating time used for actual fuel feed during the operating ratio and operating time of the belt; And
When the raw material being transported is supplied to the coke bin, a logistic analyzer that provides analysis information on the change in the quantity of each coke bin according to the time specified by the user
Real-time tracking device comprising a real-time tracking.

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