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"ParaRecolectar" is a multi-data logger (IoT edge device) that enables digital transformation (DX) at a low cost while utilizing existing equipment. It can simultaneously collect multiple data such as vibration, temperature, and current with a single unit, and sensors from other manufacturers can also be connected via pulse or analog input. Depending on the application, data collection can be done with a DIY approach, allowing for a small start and easy low-cost implementation. Data collection can also be retrofitted to older equipment, and it is widely used for predictive maintenance, energy saving, and carbon-neutral activities. 【Features】 - All-in-one solution for data collection, visualization, and record storage - Compact standalone unit, can be powered by a mobile battery for portability - No modifications needed, low cost, no cloud connection required, no licensing fees - Capable of graphing software and threshold management alert output ★New Product Information★ We are launching a "General Purpose Input/Output Unit" with an added "Control" function! It connects to ParaRecolectar to record data collected from sensors, automatically determines the set threshold, and can output to external devices. *For product details, please refer to the "PDF Download" below.
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Free membership registration"ParaRecolectar" has been utilized as a multi-data logger to record sensing data such as vibration, temperature, and current at many customer sites. In response to the growing needs for further DX and IoT integration, we have launched a new product, the "General Input/Output Unit," which adds "control" functionality. By connecting this unit to ParaRecolectar, it becomes possible not only to record data collected from sensors but also to automatically determine set threshold values and control output to external devices. 【Usage Scenarios】 ■ Carbon Neutrality and Energy Saving Measures - Data collection of air flow and equipment operation → Automatic control of valve opening and closing to reduce wasted air ■ Operation Monitoring and Traceability Enhancement - Detection of abnormalities in equipment or operations → Activation of surveillance cameras or alarms ■ Application in Equipment Maintenance and Predictive Maintenance - Abnormal vibration or temperature of motor bearings → Automatic grease injection - Abnormal temperature of molds or cooling water → Control of cooling fans and heaters, activation of warning lights, etc. It can be retrofitted to existing equipment, enabling small-scale IoT integration of facilities. This product flexibly addresses various challenges in equipment maintenance, quality control, and more at the site.
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Free membership registration"P!tch DATA" is a DX/IoT system that enables automatic collection of production quantity and production pitch information without modifying your existing equipment. It can obtain data from retrofitted sensors without the need for connection to a PLC (programmable logic controller), supporting easy and low-cost management of "actual production numbers" and "bottleneck process improvement." 【What P!tch DATA Can Do】 - Count actual production numbers / Output production management boards (reports) - Graphical display of production pitch / Extraction of delayed processes - Digitization of electronic Andon and daily reports (customizable) - Process efficiency investigation during production preparation 【Features】 - All-in-one realization of data collection, visualization, and accumulation - Portable with a compact standalone unit and mobile battery operation - No modifications required, no cloud connection needed, no licensing fees - Low cost including graphing reports For old processes and processes that are difficult to modify, why not start small with "P!tch DATA" to advance the visualization DX of your production processes? *For product details, please refer to the "PDF Download" below.
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Free membership registrationWe would like to introduce a case study where "ParaRecolectar" was used to visualize the workplace environment. In workplace environment management, there was a lack of investigation into the labor environment, resulting in a heavy investigation burden and insufficient management. "ParaRecolectar" can collect data such as temperature, humidity, and atmospheric pressure, allowing for easy comprehensive monitoring of the workplace environment through the installation of retrofitted sensors. As a result, it has become possible to reduce the burden of investigations and promote measures and improvements. [Case Overview (Partial)] ■Challenges - Workplace environment management is lagging behind - Uncertainty about appropriate measures ■Effects - Promotion of energy saving/carbon neutrality - Ensuring the safety of the labor environment *For more details, please download the PDF or feel free to contact us.
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Free membership registrationWe would like to introduce a case where the AC current sensor from "ParaRecolectar" was used to detect signs before the drill breaks. In deep hole machining, drills were either replaced regularly or after they broke, leading to sudden equipment stoppages due to unexpected drill breakage. By applying this case, it becomes possible to detect different waveforms during normal operation and send a stop signal to the equipment, allowing it to be halted before the tool breaks. [Case Overview (Partial)] ■Challenges - Want to know the signs before the drill breaks in the machining equipment - Prevent sudden equipment stoppages ■Implementation Method - Measure the spindle motor current of the machining equipment with an AC current sensor *For more details, please download the PDF or feel free to contact us.
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Free membership registrationWe would like to introduce a case study that utilized multiple sensors from "ParaRecolectar" to investigate the equipment conditions necessary for producing good products. In the centerless grinding machine, there were challenges related to retroactively analyzing past equipment condition data, reducing inspection man-hours, and optimizing the frequency of sampling surveys. As a result of the implementation, by outputting alerts when abnormalities are detected, we were able to support awareness before the production of defective products and also identify and retroactively analyze past processing conditions. 【Case Overview】 ■Challenges - Want to understand the equipment conditions that allow for the production of good products - Streamlining production and quality management ■Effects - Quantification of equipment conditions that enable the production of good products - Reduction of inspection man-hours *For more details, please download the PDF or feel free to contact us.
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Free membership registrationWe would like to introduce a case where we used the bottleneck process checker 'P!tchDATA' to identify the causes of delays and improve work efficiency. In measuring the cycle time of the process, we were using a stopwatch, which led to data variability and a significant amount of investigation time due to complicated tasks and ambiguous records. By detecting the signal from the work passage sensor with the weak DC current sensor of 'P!tchDATA', we were able to implement automatic measurement with an additional sensor, resulting in a reduction of overtime by 156 minutes per shift. 【Case Overview (Partial)】 ■ Issues - Overtime occurred due to production delays - Difficulties in investigating the causes of delays ■ Implementation Method - Automatic measurement with an additional sensor *For more details, please download the PDF or feel free to contact us.
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Free membership registrationWe would like to introduce a case where the AC current sensor and pulse input of "ParaRecolectar" were used to visualize electrical power with an aftermarket sensor. In measuring electrical power, the task of recording calculated results by operators had become a significant daily burden. As a result of the implementation, automatic measurement by the sensor became possible, leading to a reduction in labor hours for operators and the ability to identify bottlenecks. 【Case Overview (Partial)】 ■Challenges - Want to visualize electrical power per unit - Labor hours for aggregation are high - There are no sensors in the desired aggregation locations ■Implementation Method - Automatic measurement with aftermarket sensors *For more details, please download the PDF or feel free to contact us.
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Free membership registrationWe would like to introduce a case where we used the AC current sensor from "ParaRecolectar" to identify neck facilities and reduce electricity costs. In measuring electricity usage, there were challenges such as a lack of manpower to conduct investigations and the costs associated with introducing measuring devices. As a result of the implementation, we were able to see the trends in daily electricity usage and identify the time periods with high usage. [Case Summary (Partial)] ■Challenges - Want to reduce electricity usage - Unable to narrow down countermeasure processes ■Implementation Method - Automatic measurement with retrofitted sensors *For more details, please download the PDF or feel free to contact us.
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Free membership registrationWe would like to introduce a case where we used the general-purpose analog input of the "ParaRecolectar" to reduce inspection labor through remote monitoring. In the inspection work for the liquid level and pH value of outdoor tanks, there were challenges such as high labor costs and delays in noticing abnormalities. The general-purpose analog input of the ParaRecolectar can connect to sensors from other manufacturers, allowing us to collect data by connecting it to the tank's liquid level detection sensor and pH meter. As a result of the implementation, we were able to check from the office without going to the site, enabling early detection of abnormalities. [Case Overview] ■ Challenges - High labor costs for inspecting the liquid level and pH of outdoor tanks - Desire to reduce inspection labor ■ Effects - Inspection time reduced from 30 minutes to 5 minutes per day (85% reduction) - Detection of abnormalities reduced from a maximum of one day to immediate detection *For more details, please download the PDF or feel free to contact us.
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Free membership registrationWe would like to introduce a case where the general-purpose analog input of "ParaRecolectar" was used to visualize air pressure and identify the cause of equipment stoppages. In the equipment, sporadic stoppages were occurring due to abnormal air supply pressure, and there was no information available during the problem occurrence, making it difficult to pursue and improve the cause. The general-purpose analog input of "ParaRecolectar" can connect to sensors from other manufacturers, allowing us to collect data from the existing pressure sensors in the process equipment. As a result of the implementation, we were able to identify the cause of the problem, review the piping layout and pipe diameter, and resolve the issue. 【Case Overview】 ■Challenges - Equipment stops due to abnormal air supply pressure - Unable to identify the cause ■Effects - Identification of the problem's cause - Measurement time reduced from 480 minutes to 30 minutes (installation): 95% reduction *For more details, please download the PDF or feel free to contact us.
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Free membership registrationWe would like to introduce a case where the 6-axis motion sensor of "ParaRecolectar" has been used to detect signs of failure before equipment stops. In a gantry machining center, operators were confirming equipment abnormalities through auditory means, which led to delayed awareness of component degradation and resulted in equipment stoppages. As a result of introducing the paracollector, we were able to set thresholds to detect abnormalities and trigger alerts, leading to planned maintenance. [Case Overview (Partial)] ■ Issues - We want to know about gear abnormalities before the equipment stops. - We want to perform planned maintenance. ■ Implementation Method - Measure the case vibration of the reducer with a motion sensor. *For more details, please download the PDF or feel free to contact us.
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Free membership registrationWe would like to introduce a case study using the environmental sensor "ParaRecolectar" to investigate defects in powder coating. In the painting process, there were quality issues due to the formation of clumps in the powder coating, and the cause could not be identified, leaving it unaddressed. As a result of the implementation, we were able to identify the factors causing the defects through data acquisition with the sensor, allowing us to smoothly derive countermeasures. [Case Overview (Partial)] ■Challenges - The powder for painting clumps together - The cause is unknown ■Implementation Method - Measuring temperature and humidity in the painting process with environmental sensors *For more details, please download the PDF or feel free to contact us.
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Free membership registrationWe would like to introduce a case where the 3-axis accelerometer of "ParaRecolectar" was used to predict failures through vibration measurement of ball screws. In the scroll processing of the workpiece, there was a challenge in not knowing the degree of deterioration of the ball screw, which led to bearing failures and a decline in product quality. As a result of the implementation, the replacement costs were reduced by 85% annually, line downtime improved from 128 hours to 0, and defective products decreased from 4,000 units to 0. [Case Summary (Partial)] ■ Challenges - Eliminate product quality defects - Implement planned maintenance ■ Implementation Method - Installed accelerometers near the bearings of the shaft *For more details, please download the PDF or feel free to contact us.
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Free membership registrationWe would like to introduce a case where the 6-axis motion sensor from "ParaRecolectar" was used to identify the cause of precision defects in automotive parts manufacturing. In the machining process of aluminum parts, precision defects were a challenge. It was anticipated that the defects occurred on specific machines, and there were concerns about issues with the equipment. As a result of the implementation, we were able to detect malfunctions in areas that could not be identified through regular inspections, ensuring precision equivalent to other machines and achieving zero precision defects caused by the same issue. [Case Overview (Partial)] ■Challenges - Precision defects occurred in the machining process of aluminum parts - The cause had not been identified ■Implementation Method - Installed 6-axis motion sensors under the same conditions on three machines *For more details, please download the PDF or feel free to contact us.
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Free membership registrationWe would like to introduce a case where the contact-type temperature sensor "ParaRecolectar" was used to automate daily inspection tasks in automotive parts manufacturing. In the cleaning process, workers conducted temperature checks of the cleaning solution once a day and recorded the results on a checklist, which became a challenge due to the labor involved. As a result of the implementation, we were able to reduce the time spent traveling to the site for inspections and cut down the inspection labor by 95%. [Case Overview (Partial)] ■ Challenge - Inspections were conducted once a day by workers, and results were recorded on a checklist, leading to a labor challenge for the workers. ■ Implementation Method - The product and contact-type temperature sensor were installed in the cleaning equipment. *For more details, please download the PDF or feel free to contact us.
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Free membership registrationWe would like to introduce a case where the 6-axis motion sensor of "ParaRecolectar" was used to visualize the deterioration of bearings. In motor bearings, abnormal conditions due to insufficient lubrication often occur, leading to production stoppages due to parts replacement and the costs associated with replacing the entire motor. As a result of the implementation, it became possible to detect insufficient lubrication of the bearings by measuring vibration data, allowing for planned responses before the motor locks or stops. [Case Overview (Partial)] ■Challenges - Abnormal conditions due to insufficient lubrication in motor bearings frequently occur. - Production stoppages due to parts replacement and costs associated with replacing the entire motor. *For more details, please download the PDF or feel free to contact us.
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Free membership registrationWe would like to introduce a case where bearing abnormalities were detected early using a 3-axis accelerometer from "ParaRecolectar" through FFT. In the process of molding powdered raw materials, equipment stoppage due to bearing failure was a significant issue. As a result of the implementation, we were able to monitor the vibrations of the bearings and detect signs of failure (abnormal sounds caused by damage to the bearing case). 【Case Overview (Partial)】 ■Issues - Equipment stoppage occurred due to bearing failure in the process of molding powdered raw materials. - Replacing the bearing after failure incurs significant losses. *For more details, please download the PDF or feel free to contact us.
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