Hanjin Newport Co. Expedites Loading and Unloading With RFID

The Korean terminal operator is using a Mojix-based solution provided by Qbit to ensure that the automated crane is ready to meet a vehicle for unloading or loading, thereby improving efficiency.
Published: June 30, 2015

Hanjin Newport Co. (HJNC), a division of Hanjin Shipping, is using an ultrahigh-frequency (UHF) RFID solution to help it manage its 20 percent growth in traffic this year at its deep-water terminal in the city of Busan, South Korea. The RFID solution, provided by Korean technology company Qbit, consists of Qbit’s software and Mojix STAR RFID receivers and eNode transmitters, to capture the movements of thousands of vehicles as they enter and exit the port.

HJNC’s terminal, constructed in 2010 with a capacity of 2 million TEUs (twenty-foot equivalent units), serves as the logistics hub for Northeast Asia. The terminal is a joint venture between HJNC and the Port of Singapore Authority. Since opening, the terminal has been increasingly busy, processing 596,700 TEUs during the first quarter of 2014 versus 718,200 in the same quarter this year.

Mojix RFID receivers and eNodes alert the automated rail-mounted gantry crane when a truck is arriving, enabling the crane to process more loads in less time.

HJNC was able to accommodate the increased traffic, in part due to the RFID system that feeds data to its terminal operating system (TOS). The system makes it possible for the company to automatically identify each truck as it enters the terminal’s main gate, and then its assigned loading area, and to forward that data to the automated rail-mounted gantry crane (RMGC) system so that the cranes can be dispatched to meet the vehicles and quickly unload or load their cargo containers.

Thousands of trucks from third-party carriers, as well as dozens of HJNC vehicles, use the terminal to receive or offload goods for import or export. Since each load needs to be moved from truck to vessel or vice versa, by crane, the process could lead to long queues at the terminal, which is something HJNC intended to avoid. By identifying each vehicle as soon as it arrives at the terminal and nears the loading area, the system could enable the crane to be ready when the truck reaches the appointed location for loading or unloading.

Without RFID, one challenge that the terminal faced was properly scheduling the cranes for each truck. For instance, a driver could enter the gate, but before driving to the loading area, he might stop to use a restroom or eat at a restaurant at the facility.

HJNC had previously tried using UHF RFID technology to identify vehicles arriving at the gates. However, the company said, Qbit experienced some problems with the RFID hardware it had tested, since readers often failed to interrogate the tags on vehicles. In those instances, HJNC staff members had to manually identify the trucks and instruct the vehicles’ drivers to circle past the readers again—or, in some cases, a truck had to proceed to the loading area without being recognized by the TOS because its tag had not been properly read.

Therefore, HJNC approached Qbit to obtain a better solution. Qbit was founded in 2011 as a real-time location system (RTLS) company that employs RFID technology, as well as GPS and drones, to identify the locations of things and individuals in industrial settings. The firm provides solutions in Asia, as well as the Middle East and beyond, according to ChongWoo Kim, Qbit’s CEO. “So far, the STAR system is our key solution,” he says, and it has been customized to meet the needs of users in a variety of industries.

The advantage of Qbit’s STAR system, Kim says, is that it can achieve accurate reads at long distances. The deployment consists of STAR 3000 receivers and Mojix eNode transmitters (which act as tag exciters) installed around the area to interrogate tags. The tags respond to transmissions from the eNodes that are captured by the receiver, which, in turn, forwards the collected read data to a Mojix STAR Master Controller, linked to the software residing on HJNC’s back-end server.

With the solution, which was installed in February 2014, truck drivers are applying passive EPC Gen 2 UHF RFID tags to the top center of their trucks’ windshields. The terminal offers Smartrac DogBone RFID tags in a vending machine (also provided by Qbit), and Qbit recommends the same make and model of tags for those who acquire them on their own. However, says Doojin Park, Qbit’s senior VP of professional services, a variety of other makes and models of tags are in use as well.

Each tag’s ID number is linked to details about the truck company in Qbit software, which forwards data to the TOS software. The terminal’s main gate has eight lanes, in which a single STAR receiver captures the ID number of each truck’s RFID tag. Based on that information, the Qbit software identifies the truck company and automatically prints a paper slip informing to the driver where he should take his vehicle.

The data is also forwarded to the TOS, which sends a job assignment to the automatic crane. If the Qbit software receives an acknowledgement from the crane indicating that it will unload or load the vehicle, a green light is illuminated, signifying that the driver can proceed to the container yard. Upon approaching his appointed loading area, the driver passes through another gate (there are 21 such gates in the terminal, covered by a total of six STAR receivers).The system reads the truck tag at this location, and then alerts the crane that the vehicle has arrived at the container yard.

Since the system’s installation, JoongRyun Lim, the manager of HJNC’s data-processing team, reports that the read rate has been near 100 percent. The technology ensures that the cranes are used efficiently, and are not idling in areas in which they are not required, or moving more than necessary from one location to another. “It saves time and electricity,” Lim explains, “leading to more cargo to handle, as well as more ships to carry them.”

Accomplishing this goal was not an easy task, Kim notes. “To find the best antenna positions,” he says, “we simulated the direction of trucks and tested again and again for months.”