Why use Force Sensors from Zemic Europe in Warehouse Management Systems (WMS)?

Zemic force sensors are used more and more in Smart Warehouse Management Systems.

Customers expect faster delivery times and technology is developing at a rapid pace. To keep up more companies make use of Smart Warehouse Management Systems. A Smart Warehouse Management System is an innovative technology for automated, intelligent management of warehouses. These systems combine all critical warehouse data in one platform and aim to optimize the supply chain management. They provide more insight into the flow of goods and stock levels and lead to improved productivity, efficiency, and accuracy. 3PL (third party logistics) started with innovating the business. We see now a spin off to all kind of warehouses to obtain the same benefits.

In warehouse applications an important feature is to prevent running out of stock. This is called inventory or storage control. The new WMS are designed in such a way, that empty shelves can be prevented in most cases. When our customers can control this, they directly save costs and make more profit.

                                                                        

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Differences between Wireless Adhoc Network and Wireless Sensor Network

1. Wireless Adhoc Network :
A wireless ad-hoc network is a wireless network deployed without any framework or infrastructure. This incorporates wireless mesh networks, mobile ad-hoc networks, and vehicular ad-hoc networks. It’s history could be traced back to the Defense Advanced Research Project Agency (DARPA) and Packet Radio Networks (PRNET) which evolved into the Survival Adaptive Radio Networks (SARNET) program. Wireless ad-hoc networks, in particular mobile ad-hoc networks (MANET), are growing very fast as they make communication simpler and progressively accessible. In any case, their conventions or protocols will in general be hard to structure due to topology dependent behavior of wireless communication, and their distributed and adaptive operations to topology dynamism. They are allowed to move self-assertively at any time. So, the network topology of MANET may change randomly and rapidly at unpredictable times. This makes routing difficult because the topology is continually changing and nodes cannot be expected to have steady data storage.

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Omron launches colour sensor for industrial monitoring

The new sensor helps customers to remotely monitor equipment deterioration in real-time, leading to the visualisation of the equipment and the reduction of person-hours required for inspection and maintenance. It offers solutions to the problems faced by the industrial machinery and hydraulic equipment industries through highly efficient and systematic maintenance.

At manufacturing sites, oil contamination is frequently a cause of failure of industrial machinery and hydraulic equipment. Maintenance personnel are relied upon to conduct a visual check for such contamination, often by performing periodic inspection and part replacement based on their intuition, tricks, and experience. Often production stoppage losses due to sudden equipment breakdown are incurred by inconsistent judgment from each person in charge.

In addition, delays in inspection timing have been a longstanding issue. There is also the increasing need for higher efficiency in maintenance and remote monitoring due to a severe shortage of labour and limited accessibility due to the COVID pandemic. Until recently, size and cost of additional components have stood in the way of solving the problem.

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Advantages of using a smart infrared sensor checking the temperature of the PCB in dispenser machines

Dispensing is a process in which glue, oil or other liquids are applied or dripped to a PCB or specific components mounted on a PCB. Materials dispensed can range from very low (water like) to very high (toothpaste like) viscosity and encompass many different functions. These include solder paste to electrically connect components, encapsulants to protect devices from atmospheric conditions and provide moisture-proof insulation, thermal interface materials (TIMs) to help dissipate heat from parts, and adhesives to attach parts to a substrate or assembly. The dispensing process actually is a process to protect the product and improve the product reliability.

As an example, dispensing is used to prevent solder joints from loosening, especially in areas of weak structure on the PCB, such as chips. When the product falls and vibrates, the PCB will vibrate back and forth, and the vibration will be transmitted to the solder joints between the chip and the PCB, which will crack the solder joints. At this time, dispensing does make the solder joints completely surrounded by glue, reducing the risk of cracking in the solder joints.

1st Editional of International Research Awards on Sensing Technology | 23-24 Jan 2023 | India

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Superior Sensor Technology announced its precise differential pressure sensor technology has the potential of greatly improving the detection of ammonia leaks or clogs in HVAC or industrial refrigeration equipment.

 Superior Sensor Technology announced its precise differential pressure sensor technology has the potential of greatly improving the detection of ammonia leaks or clogs in HVAC or industrial refrigeration equipment.

Using an advanced pressure sensor technology, called Nimble Sense, the company’s differential pressure sensors achieve extreme pressure measurement accuracy within 0.05% of the selected pressure range. When used in HVAC and tindustrial equipmen, this precise measurement capability enables the system to accurately monitor the pressure drop of ammonia as it flows through the equipment, alerting operators of a possible hazards.

HVAC and other industrial refrigeration equipment manufacturers use ammonia to cool the system. If leaked, ammonia is extremely hazardous to humans causing eye and skin irritation, headaches, coughing, lung damage and other dangerous side effects. Superior Sensor’s differential pressure sensors can accurately detect changes in ammonia pressure flow at very low pressure ranges, indicating possible leaks or clogs in the system.

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Novel Antenna Role in the Integration of ISAC for 6G Wireless Communications:

 This enables manipulation of the frequency, direction, and amplitude of the radiated beam and is anticipated to play a significant role in the union of sensing and communications (ISAC) for 6th-generation (6G) wireless communications.

Once the fabrication is done, the structure and characteristics of conventional antennas cannot be altered. However, the frequency, direction, and amplitude of the electromagnetic waves coming from this new-generation antenna, which is known as a “sideband-free space-time-coding (STC) metasurface antenna,” could be altered via space-time coding (that is, software control), allowing great user flexibility.

The central part of this groundbreaking feature is that the response of the metasurface (artificial, thin-sheet material with sub-wavelength thickness and made up of various sub-wavelength meta-atoms) could be altered by shifting the meta-atoms present on its surface between radiating and non-radiating states. This includes turning on and off switches by regulating the electric current.

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Latent Fingerprint Recognition

 

In-Sensor Reservoir Computing System for Beter Latent Fingerprint Recognition

Deep ultraviolet (DUV) photodetectors have a crucial role to play in environmental monitoring, deep space exploration, and bio-information identification. The traditional ex-situ DUV fingerprint recognition platforms use a separate sensor, processor, and memory, which considerably raises the latency in decision-making and, therefore, the total computing power.

The research team, inspired by the human visual perception system, built a DUV in-sensor RC system comprising optical synapses as the input layer of the reservoir and the memristor device array as the readout network, which can perceive and process in parallel to guarantee high efficacy and minimal power consumption.

The researchers employed the Ga-rich component design and developed amorphous GaOx (a-GaOx) photo-synapses with improved persistent photoconductivity (PPC) effects. A non-linear mapping relationship for the DUV in-sensor RC platform was built by entering 4-bit equivalent light pulses for simulation so that the image pixel sequence data could be tested for feature values.

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Iot Sensors Types

                                         Iot Sensors Types                     

Sensors are everywhere. They’re in our homes and workplaces, our shopping centers and hospitals. They’re embedded in smart phones and an integral part of the Internet of Things (IoT). Sensors have been around for a long time. The first thermostat was introduced in the late 1880s and infrared sensors have been around since the late 1940s. The IoT and its counterpart, the Industrial Internet of Things (IIoT), are bringing sensor usage to a new level.

Broadly speaking, sensors are devices that detect and respond to changes in an environment. Inputs can come from a variety of sources such as light, temperature, motion and pressure. Sensors output valuable information and if they are connected to a network, they can share data with other connected devices and management systems. 

                                    Temperature Sensors      Level Sensors

                                            Humidity Sensors            Accelerometers

                                 Pressure Sensors             Gyroscope

                                           Proximity Sensors         Gas Sensors

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Capturing shockwaves from a volcano with a handmade air pressure sensor

This was the activity Li captured on his sensors. Just as explosions of that magnitude can send seismic tremors through the earth, so it can send shockwaves through the earth's atmosphere. His sensors had captured just that—evidence of global atmospheric shockwaves created by the eruption.

It's a reminder, he said of how we live in the atmosphere, and it is all around us.

"This is a good opportunity to see that," Li continued.

The pressure monitors showed the first shockwave hitting approximately 9 hours after the largest volcanic eruption. The wave shows as an extraordinary spike in pressure that lasted for about 24 minutes, and was followed by several hours of "ringing," oscillations repeating every few minutes, Li said, or elevated atmospheric noise, afterwards.

 

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