Mihari

The increasingly sophisticated end products of our global customers require more detailed knowledge of raw materials and greater certainly in raw materials performance. Canfor Pulp has uniquely developed a suite of leading edge technologies to monitor fibre and pulp, our Mihari Initiative.

Background & Technologies

Mihari is Japanese for “watchguard” or “sentry”.  Drawing upon Toyota Motors Corporation’s Total Quality Management (TQM) concept, Mihari is Canfor Pulp’s response to the evolving technical and information needs of our customers. Mihari comprises a unique bundle of state of the art on-line technologies which can measure fibre quality across our entire kraft pulping process from wood chips to the final pulp bale. This globally unique initiative was made possible through the availability of the requisite technology and the generous support of the Canadian Federal Government and the Government of the Province of British Columbia through the Transformative Technologies Program.

Mihari comprises three key technologies: Wood Chip Quality Sensor (FPInnovations, Canada), PulpEye (PulpEye AB, Sweden), and Quality Vision System (Metso, Finland). The significant volume of data delivered by these technologies is managed to information through models developed using the multivariate statistical software ExtractEye.

New Technology

Mihari comprises 3 state of the art technologies, fibre and pulp quality (PulpEye), and finished pulp dirt content (Metso PQV), and specialized multivariate software which transforms the data into information for operational control and pulp customer quality certificates. In addition, we have co-developed the on-line measurement of Fibre Wall Thickness, a significant advance over current lab-based tools and the coarseness measurement. The combination of Mihari and mill process technologies means that statistically significant real time prediction of pulp tensile strength is now available.

Fibre Wall Thickness

A detailed report on the FWT module is forthcoming.

Wood Chip Quality Sensor (FPInnovations, Canada)

Designed and developed by the Pulp and Paper Research Institute of Canada (Paprican) now FPInnovations, the chip sensor utilizes reflected visible-near infrared measured at 30,000 spectra per second to predict wood chip moisture content, density, and species composition using models developed using multivariate statistics.

PulpEye (PulpEye AB, Sweden)

Developed and sold by PulpEye AB (formerly Eurocon Analyzer AB), the PulpEye obtains pulp samples from up to eight locations along a fibreline, introduces them to the analyzer where properties including freeness, consistency, brightness, pH, fibre dimensions, (length, coarseness, width, kink, curl), shives, kappa number.  A typical analysis takes 5-8 minutes to complete providing semi-continuous pulp quality data enabling near real time product monitoring.

In collaboration with PulpEye AB and FPInnovations, Canfor Pulp Innovation is developing a novel module which can measure Fibre Wall Thickness.  The importance of this development is that Canfor Pulp will be able to deliver predicted tensile strength in real time and on a per shipment basis.

Quality Vision System (Metso, Finland)

These first of their kind full machine width installations shine high intensity LED light through bleached pulp  and a high resolution series of cameras which record all defects, specifically dirt and other undesirable material.  For unbleached pulp LED light is reflected off the sheet surface.  Canfor Pulp offers complete dirt testing on all the pulp we manufacture, a world first.

Quality Data by Shipment

Synthesis of the Big Data provided by Mihari into customer relevant information is a key strategic imperative. Synthesis of the Big Data provided by Mihari into customer relevant information is a key strategic imperative. Multivariate statistical models and our unique pulp quality database will enable customers to access their shipment pulp quality information from a drop down menu in real time through a secure web App. Development is underway.