How to Check Data Usage on iPhone

 

Coming up short on information before the month's end is a more typical issue than you may suspect, and it can indeed be a bad dream if it occurs at any rate expected time, for example, amidst summer, when we are distributing every one of our photos in interpersonal organizations. Along these lines, beneath we share a few hints you can consider to spare information on your iPhone.

Enhance the utilization of information on Facebook

The essential thing you ought to recall is that the speediest application that closures with your megas are Facebook. The reason is straightforward, because being such a well known friendly community, sends notices always, and furthermore has a significant number of media substance, for example, GIFs, photos or recordings that are played naturally, among other deciding elements.

Like this, it is prudent to control the utilization of this application, with such essential subjects as handicapping programmed playback if we are utilizing versatile information. To do this, we need to go to the 'Settings' of the Facebook application on our iPhone, at that point go to the 'Record settings' segment, and after that pick 'Recordings and Photos.' There we should pick 'Programmed playback,' and select 'Just with WiFi associations.'

In iOS 10 we have the likelihood to survey what has been the utilization of information for every application that we have introduced on our iPhone. To do this, we need to go to 'Settings,' at that point go to 'Versatile information,' and there approve the utilization of portable information or pick interface with WiFi. Like this, you will see that there are numerous applications that you could utilize just when you have WiFi association, abstaining from spending your information.

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Likewise, this area not just demonstrates to us how much information we expend for each application that we have introduced on our iPhone, yet also enables us to reset this figure each time our charging period closes, to take more control of our movement.

Another development that you can do is debilitate the information out of sight. Along these lines, you keep applications from utilizing your portable information regardless of whether you are not using them at any given time. To do this, you should go to 'Settings,' 'General' and afterward 'Refresh out of sight.'

On the other hand, in case you are at a time when you realize that you needn't bother with your versatile information by any means, the most fitting thing to spare is that you deactivate them. You need to go to the 'Settings,' and enter the segment 'Versatile information' so that, promptly, you disable this element.

wifi help

The 'WiFi Assistance' is likewise a component that you can kill to spare information. Keep in mind that this capacity is organizing the speed and nature of association, so that in the event that you achieve a point in the house where the WiFi flag was extremely frail, the iOS gadget consequently changes to the versatile system on the off chance that it is better, for Offer a superior client encounter.

At long last, there is a subject that you can control, and that is identified with the utilization of gushing application information. What they ought to do is kill 'astounding gushing' on Apple Music, Spotify, and Netflix. On account of the music administration of the firm of Cupertino, they should go to the 'Settings' of the telephone, at that point to 'Music' and there in the area 'Cell information' deactivate the 'Transmission of high caliber.'

In Spotify, it works unexpectedly, because the alteration is produced using the application itself, in 'Arrangement' and the choice 'Nature of the transmission.' For Netflix, we need likewise to pick the low video quality.

In Applesfera | Time to change our versatile get: The iPhone 6 Plus expend twice as much portable information as the iPhone 6

Article Source: https://EzineArticles.com/expert/Talha_Asjid/2584973

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Brainstorming The Ideas for Influencing Your Mobile App Audience

 

Once the app is downloaded, you have little time to take a sigh of relief, and then again start focusing on making things easier for the them till their goal is achieved.

According to the AppsFlyer, an app marketing company, the global uninstall rate for apps after 30 days is 28%. Entertainment apps are most frequently deleted, whereas apps based on Finance is least frequently deleted. No matter which app category you belong to, your strategy should be to remain in the mobile phones of users for a long time, and not just sit around but to fulfill your purpose as well.

If we analyze the encounters of users with an app step by step, it can help us unveil the critical factors that influence mobile app audiences, so that we can work upon those and achieve our purpose. Here are the details:

Step1. Finding Your App in Appstore

For this, we have to first find out what exactly users type to search an app. Based on a research, it has been found that 47% app users on iOS confirmed that they found the app through the App Store's search engine and 53% app users on Android confirmed the same.

What have been their search queries? Interestingly, as the per the data provided by the TUNE research, 86% of the top 100 keywords were brands.With little scope for non-branded categories, most of the keywords were either of games of utility apps. Common keywords in the non branded category are: games, free games, VPN, calculator, music, photo editor, and weather.

Leaving brands aside, if we analyze the user-type of a Non-branded category, we will get two types of users:

1. Users are informed, and they know what they are search

2. Users are exploring possibilities, have no precise information in mind.

If you are a mobile app development company, targeting non-branded users, then your efforts must be directed to creating apps that compel these two types of users. To do so, we have to analyze once they are on an app store, what keywords they use to search. Regina Leuwer, with expertise in marketing & communications, bring some light to the subject. She reached out Sebastian Knopp, creator of app store search intelligence tool appkeywords, who shared with her the data of unique trending search phrases. And according to that data, in 2017, there were around 2,455 unique search phrases trending in the US.

Now, if we study these data to get information, we will find that name of the app is critical to attract the attention of the users.

If your app belongs to non-branded category, then make sure your app name is similar to the common search queries but also unique in comparison with your competitors. So that when your app name is flashed, they click it on to it, finding it purposeful and compelling both.

Step 2. Installation

Remember your users are on mobile devices has limited resources, from battery to storage and RAM to Internet. Everything is limited. So better create an application that is easy to download or say get downloaded with 5 minutes. One critical advice here:

1. Keep the application file size small.

If you are a developer, use APK Analyser to find out which part of the application is consuming maximum space. You can also reduce classes.dex file and res folder that contains images, raw files, and XML.

Step 3. Onboarding

After the user has successfully downloaded your mobile application, don't leave anything on assumptions. Guide them properly. This you can do through an onboarding process, where users can learn the key functionality and where to begin with the mobile app. Below are the 3 things you need to keep in your mind when creating an onboarding process for your users.

    Short and Crisp: The entire guidance of features and functions should be completed within few seconds, with easy options loud and clear option to skip.

    Precise Information: Don't introduce them to the app. They already know what they have downloaded. The objective to inform about the key functions and features.

    Allow Users to Skip: Let the tech-savvy users skip the intro. Your app is to meet their requirement and not to have a friendly session.

Step 4. Purpose and UI

Here, the stage is set for your app and it is the golden chance for you to impress your users. What is needed here is the collaboration between purpose and UI of the app. It totally depends on the problem-solving capability and ease of use of the mobile app. Interface design plays the critical role, allowing the users to access features of the apps easily and quickly to perform the task for what they have downloaded the app. When it comes to interface design, make sure that the design is interactive and task-oriented. Here are some factors that you must take care off while creating mobile app interface:

1. Usability: The Mobile phone is an epitome of convenience and if your users find it difficult to use your app, then there is no way there are going to make the space for it in their mobile phones. From screen size to the color of the app, there are many factors that are equally critical and need attention.

2. Intuitive: To create an intuitive User Interface, you have to read the mind of the users, and develop a model based on that. The next should be precise, clear and 'obvious' in an interface.

3. Availability: Key features should be hidden in the drop down menu or even if so, it should be obvious for the user to look into the drop-down. An intricate work of design and research is required to make essential features available for the customers and they don't need to navigate here and there.

If you need more help with the user-interface and innovative ideas for a mobile app, write to me webmaster@finoit.com and I promise to get back to you with interesting mobile app designs.

Alen Cauller is content writer of Finoit Technology, a leading IoT application development company & custom software development company which makes app ideas into reality by providing unique design and app development services across IOS and Android platforms.

 

 

Article Source: https://EzineArticles.com/expert/Alen_Cauller/433142

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Pregnancy apps and online spaces fail to support individuals grieving a pregnancy loss – here’s what to do about it

Social technologies perpetuate a single idea of what constitutes a pregnancy. martin-dm/E+ via Getty Images

Nazanin Andalibi, University of Michigan

Approximately 1 in 4 pregnancies in the United States ends in loss. Pregnancy loss, also referred to as miscarriage, is a common reproductive health complication.

Many experience this loss as a significant life event, with a “before” and an “after.” It can cause depression and post-traumatic stress disorder. Yet society largely stigmatizes and dismisses it by not treating it as a loss that deserves to be grieved.

I research the social implications of technology. For the past several years, I’ve been investigating the intersection of pregnancy loss and social technologies. Search engines, social media, online support groups and pregnancy and fertility tracking apps are some of the technologies people use to manage pregnancies, share experiences or exchange social support.

My recent research shows these technologies often do not account for pregnancy loss and, as a result, can cause re-traumatization and distress.

Harmful designs and algorithms

In a recent study, I conducted in-depth interviews with women in the U.S. who had recently experienced pregnancy loss. I found that pregnancy tracking applications failed miserably in considering pregnancy losses.

‘Oh, please stop.’ Luis Alvarez/DigitalVision via Getty Images

A participant told me, “There’s no way to tell your app, ‘I had a miscarriage. Please stop sending me these updates,’ like, ‘This week, your baby’s the size of a banana or whatever.’ There’s no way to stop those.”

Similarly, advertising algorithms assumed all pregnancies lead to the birth of an alive and healthy baby. Another participant told me, “I was getting ads for maternity clothes. I was just like, ‘Oh, please stop.’”

The design of mobile apps tells a similar story. I conducted an analysis of 166 pregnancy-related apps and found 72% do not account for pregnancy loss at all, 18% offer an option to report a loss without providing any support, and the remaining 10% passively link to outside sources.

Another tool people use during pregnancy and loss journeys are online support groups. While groups dedicated to loss can be sources of social support where people may find emotional validation, connect with others and feel seen and less alone, I found they can also foster invalidating and harmful experiences.

One participant reported seeing questions “like ‘Can you eat this certain thing while pregnant?’ You get some people who say, ‘Yes, I ate that all through pregnancy.’ Then you get some people who say, ‘I can’t believe you’re doing that to your body, that’s harmful for you.’”

Overall, the design features and algorithms that underpin content and interactions do real harm by perpetuating a single idea of what constitutes a pregnancy – one that is smooth and leads to a happy ending. By not accounting for pregnancy loss, I contend they contribute to its further stigmatization.

My work shows how technology design reinforces stereotypes about experiences like pregnancy loss – and sustains social inequities like marginalization and stigmatization. This, in turn, makes it hard for those experiencing loss to find the resources and support they need.

A more humane approach

If you are someone who has experienced pregnancy loss, I am sorry for your loss. Please know that you are not alone. I hope this article helps validate and make visible some of your frustrating experiences.

If you know someone who has experienced a pregnancy loss, know that the harms and challenges I described above are only some of the frustrations they may face. Acknowledge their loss. Ask how you may be able to support them. Get them meals, offer to pet sit or babysit for them, listen to them, sit in their sorrow with them. Know that holidays and anniversaries tend to be tough. Do not say “you will get pregnant again.” Finally, remember that lesbian, gay, bisexual, transgender and queer people also experience pregnancy and loss.

If you are a designer, developer or someone who makes decisions about products and advertising algorithms, I hope this research illustrates some of the real harms users may experience as a result of using products to manage intimate personal experiences like pregnancies. Please consider designing products that consider the full range of pregnancy and other human experiences. Remember that considering pregnancy loss as an outcome does not mean finding other ways to profit from your users’ loss and grief.

[Over 140,000 readers rely on The Conversation’s newsletters to understand the world. Sign up today.]

Nazanin Andalibi, Assistant Professor of Information, University of Michigan

This article is republished from The Conversation under a Creative Commons license. Read the original article.

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Defining what’s ethical in artificial intelligence needs input from Africans

 “Alfie”, a moral choice machine, is pictured in front of an important question during a press conference in Germany. Arne Dedert/picture alliance via Getty Images

Artificial intelligence (AI) was once the stuff of science fiction. But it’s becoming widespread. It is used in mobile phone technology and motor vehicles. It powers tools for agriculture and healthcare.

But concerns have emerged about the accountability of AI and related technologies like machine learning. In December 2020 a computer scientist, Timnit Gebru, was fired from Google’s Ethical AI team. She had previously raised the alarm about the social effects of bias in AI technologies. For instance, in a 2018 paper Gebru and another researcher, Joy Buolamwini, had showed how facial recognition software was less accurate in identifying women and people of colour than white men. Biases in training data can have far-reaching and unintended effects.

There is already a substantial body of research about ethics in AI. This highlights the importance of principles to ensure technologies do not simply worsen biases or even introduce new social harms. As the UNESCO draft recommendation on the ethics of AI states:

We need international and national policies and regulatory frameworks to ensure that these emerging technologies benefit humanity as a whole.

In recent years, many frameworks and guidelines have been created that identify objectives and priorities for ethical AI.

This is certainly a step in the right direction. But it’s also critical to look beyond technical solutions when addressing issues of bias or inclusivity. Biases can enter at the level of who frames the objectives and balances the priorities.

In a recent paper, we argue that inclusivity and diversity also need to be at the level of identifying values and defining frameworks of what counts as ethical AI in the first place. This is especially pertinent when considering the growth of AI research and machine learning across the African continent.

Context

Research and development of AI and machine learning technologies is growing in African countries. Programmes such as Data Science Africa, Data Science Nigeria, and the Deep Learning Indaba with its satellite IndabaX events, which have so far been held in 27 different African countries, illustrate the interest and human investment in the fields.

The potential of AI and related technologies to promote opportunities for growth, development and democratisation in Africa is a key driver of this research.

Yet very few African voices have so far been involved in the international ethical frameworks that aim to guide the research. This might not be a problem if the principles and values in those frameworks have universal application. But it’s not clear that they do.

For instance, the European AI4People framework offers a synthesis of six other ethical frameworks. It identifies respect for autonomy as one of its key principles. This principle has been criticised within the applied ethical field of bioethics. It is seen as failing to do justice to the communitarian values common across Africa. These focus less on the individual and more on community, even requiring that exceptions are made to upholding such a principle to allow for effective interventions.

Challenges like these – or even acknowledgement that there could be such challenges – are largely absent from the discussions and frameworks for ethical AI.

Just like training data can entrench existing inequalities and injustices, so can failing to recognise the possibility of diverse sets of values that can vary across social, cultural and political contexts.

Unusable results

In addition, failing to take into account social, cultural and political contexts can mean that even a seemingly perfect ethical technical solution can be ineffective or misguided once implemented.

For machine learning to be effective at making useful predictions, any learning system needs access to training data. This involves samples of the data of interest: inputs in the form of multiple features or measurements, and outputs which are the labels scientists want to predict. In most cases, both these features and labels require human knowledge of the problem. But a failure to correctly account for the local context could result in underperforming systems.

For example, mobile phone call records have been used to estimate population sizes before and after disasters. However, vulnerable populations are less likely to have access to mobile devices. So, this kind of approach could yield results that aren’t useful.

Similarly, computer vision technologies for identifying different kinds of structures in an area will likely underperform where different construction materials are used. In both of these cases, as we and other colleagues discuss in another recent paper, not accounting for regional differences may have profound effects on anything from the delivery of disaster aid, to the performance of autonomous systems.

Going forward

AI technologies must not simply worsen or incorporate the problematic aspects of current human societies.

Being sensitive to and inclusive of different contexts is vital for designing effective technical solutions. It is equally important not to assume that values are universal. Those developing AI need to start including people of different backgrounds: not just in the technical aspects of designing data sets and the like but also in defining the values that can be called upon to frame and set objectives and priorities.

Mary Carman, Lecturer in Philosophy, University of the Witwatersrand and Benjamin Rosman, Associate Professor in the School of Computer Science and Applied Mathematics, University of the Witwatersrand

This article is republished from The Conversation under a Creative Commons license. Read the original article.

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Facebook’s scandals and outage test users’ frenemy relationship

How do you feel about Facebook? Enes Evren/E+ via Getty Images

Elizabeth Stoycheff, Wayne State University

When Facebook was down for most of the day on Oct. 4, 2021, did you miss it, were you relieved or some of both? Social scientists have compiled an expansive body of research that shows how people have come to develop a love-hate relationship with the social media giant with nearly 3 billion users.

Many users have felt their relationship with the platform devolve into a messy codependence, mired by ambiguity and mistrust. For others, reliance on the platform is taken for granted, if occasionally appreciated in moments of pandemic isolation.

And then there are the revelations that the company has been lying about applying its rules differently to important people, knowingly harming teen girls and having a big vaccine misinformation problem. Adding insult to injury, Facebook locked its keys in its car and didn’t show up for over five hours. In short, Facebook is a hot mess.

All this leads to an extremely high-maintenance relationship, leaving users to wonder whether they should just move on with healthier friends. But it wasn’t always like this.

Friendly beginnings

At its launch, Facebook was one of the most authentic social networking partners. Existing online networks, like MySpace, had influential parent companies that chaperoned their platforms, pestering users with ads and gimmicks. But Facebook promised something different: a genuine connection. It was an unexploited social space to live your best life – well before anyone hashbragged it.

Still today, a friendship with Facebook comes with plenty of perks. Most importantly, it is the friend who brings everyone together. Participating in this community is shown to strengthen relationships between close friends and casual acquaintances. Individuals can bond over community causes, shared identities and amusing videos. Facebook has been credited for helping organize coalitions that took down dictators and raised millions of dollars to fight disease.

Adding to Facebook’s popularity, it lets users carefully curate a public image, emphasizing the best parts of their lives. The site has become a central source not only for information about one another, but also the world. Over half of U.S. Facebook users report regularly consuming news on the platform.

Academics friended Facebook, too. I led a study revealing that it is the most researched subject in the field of information and communication technology since 2005. This focus has led to advances in understanding online interactions, digital activism and human psychology.

Undermining trust

Facebook vacuums up users’ data. Alexander Limbach/Shutterstock.com

But Facebook’s stunning success has come at the expense of the privacy of its virtual friends. Its “we sell ads” business model may sound benign, but the platform collects more data and information about users than they may consciously know about themselves.

By sharing users’ data, enabling disinformation campaigns and election interference, Facebook has revealed its allegiances – and they don’t involve protecting users. Carelessness, or what increasingly looks like intentional abuse, of user data has made it difficult to trust the platform with people’s most intimate relationships.

Meanwhile, the company continues to change what information people see on its platform, which has consequences. Research finds that users can be emotionally manipulated by changes to Facebook’s algorithm. This has made the public more politically polarized and less likely to share minority views – implications that may derail democracy.

Algorithms that foster day-to-day social comparison have also taken a toll on mental health. Recent research convincingly shows that Facebook use dampens individuals’ happiness – both immediately and over the long term. Using Facebook has been linked to depression and so many other negative psychological outcomes that it inspired a summary report of 56 studies on the topic.

Frenemies for now

Despite widespread calls to #DeleteFacebook, most users have maintained their profiles and found themselves disrupted by its most recent outage. Why? Because abstaining from Facebook means giving up a network that has social currency and value. The site boasted 2.8 billion active users at the end of 2020, more than a third of the global population. As members of Congress have pointed out, Facebook has few market competitors, meaning it serves as a primary, if not the only, way for large groups to connect. It holds users together (or sometimes hostage) by maintaining relationships with all their friends.

For those who prefer Instagram or WhatsApp, know that Facebook owns those too, and is working to consolidate the technology behind them. These platforms also went down yesterday. Even people with the willpower to de-friend Facebook will still find their data swept up in content that others add to the platform and its affiliates. It’s nearly impossible to escape Facebook’s orbit.

Nevertheless, recapturing the public’s trust will require significant changes. Options for unaltered news feeds, transparent advertising, and user control of data and metadata would be good places to start. But currently, it’s unclear whether Facebook will make these changes to salvage its billions of friendships.

In the meantime, most of Facebook’s friends are updating their privacy settings and just trying to coexist.

 

 

 

 

 

This is an update of an article originally published on Jan. 30, 2019.

Elizabeth Stoycheff, Associate Professor of Communication, Wayne State University

This article is republished from The Conversation under a Creative Commons license. Read the original article.

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Do You Know The 5 Uses For Ribbon Cables?

 

Serving a number of industries over the course of decades requires the need to be quick on one’s feet, provide only the highest quality, and be able to be diverse in the product/service one provides. As such, top-tier cable & wire manufacturers have had to fully embrace the variety of cables they’ve had to make to meet a vast array of applications.

High on the list of revolutionary products to come from this need to meet demand has been the development of ribbon cables. Unless you’ve looked inside of your home PC or television, you’ve likely never seen one of these cables. However, their development has been crucial to the skyrocketing ease of data transmission & communications in today’s technology. In fact, ribbon cables are found just about everywhere there is any kind of technology in an industry. For example:

Computers - Nearly a quarter into the 21st century, it’s hard to imagine any industry not using some form of computation. Whether it’s laptops in the field, desktops in the office, or even fax machines & printers, ribbon cables are at the heart of all computational technology.

Aerospace/Military - The primary use of ribbon cable over more traditional cable forms is to save space. When it comes to aerospace & military applications, there’s always a need to have astoundingly high performance without a lot of extra weight. Also, it has to be easy to repair, replace, and upgrade over time.

Medical Equipment - As modern medicine has taken healthcare into areas once thought impossible, ribbon cables have lead the way. Machines that can provide life-saving tasks are now mobile, accurate, and able to communicate across distances.

Industrial Electronics - Automation in factory settings has changed the way business is done across every industry in the world. Without the use of hi-tech ribbon cable technology, the speed & accuracy with which machinery operates would only be a pipe dream.

Consumer Electronics - Perhaps the most notable of industries that has radically changed the world, consumer electronics has, in essence, forced technology to keep up with the needs & wants of the consumer-at-large. Smaller, faster, easier to navigate tech that remains connected to the world via the internet is at its highest demand. Due to their flexible nature & powerful transmission capabilities, ribbon cables have been called upon to do some very heavy lifting.

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Checkout the Comparison of Solar Radiation Sensors

 

Various solar radiation sensors are available with the modular Capricorn FLX Weather Station and/or with the Weather MicroServer for all weather station models. Additionally, the Magellan MX and Pulsar Weather Stations offer all-in-one sensor modules with integrated solar radiation measurement.

ISO classifications “secondary standard,” “first class,” and “second class” correspond to the World Meteorological Organization categories “High quality,” “Good quality,” and “Moderate quality.”

Silicone-based Pyranometer This sensor is calibrated to measure the shortwave radiation reaching the Earth’s surface, measured in Watts per square meter. Silicon pyranometers are generally less expensive than thermopile sensors, yet often sufficient for many requirements.

Advantages:

– Low cost – Sensor head is potted solid to prevent internal condensation in humid environments – Self-cleaning dome-shaped head prevents water accumulation Applications: General purpose solar monitoring.

Specifications:

ISO classification: None Cosine Response: 45° zenith angle ± 1%, 75° zenith angle ± 5% Absolute Accuracy: ± 5% Uniformity: ± 3% Repeatability: ± 1% Output Responsivity: 0.200 mV per W/m² Linear Range: 0 - 350 mV (0 - 1,750 W/m²) Sensitivity: Custom calibrated to exactly 0.5 W/m² per mV Input Power: 5 volts DC Operating Environment: - 40 to 55 °C; 0 to 100% relative humidity. Designed for continuous outdoor use Materials: Anodized aluminum with acrylic lens Dimensions: 2.4 cm diameter, 2.75 cm high

Second Class Pyranometer

Thermopile-based Pyranometer: Second Class This thermopile sensor meets ISO 9060 Second Class requirements. It measures solar radiation received by a plane surface, in W/m², from a 180° field of view angle.

Advantages:

Easy mounting and installation Applications: Ideal for general solar radiation measurements in meteorological networks and photovoltaic monitoring.

Specifications:

ISO classification: ISO 9060 Second Class Spectral range: 280 to 3000 nm Calibration Uncertainty: < 1.8% (k=2) Operating Temperature Range: -40 to +80°C Output: 0 to 1VDC

First Class Pyranometer

Thermopile-based Pyranometer: First Class This thermopile sensor meets ISO 9060:1990 First Class requirements and features a sixty-four thermocouple junction (series connected) sensing element. The sensing element is coated with a highly stable carbon based non-organic coating, which delivers excellent spectral absorption and long term stability characteristics. It has improved performance due to the increased thermal mass and the double glass dome construction.

Advantages:

Accurate solar radiation measurements Durable Applications: Operations that require accurate data for photovoltaic power.

Specifications:

ISO classification: ISO 9060:1990 First Class Spectral range (20% point): 280 to 3000 nm Spectral range (50% point): 285 to 2800 nm Response time (63%): <1.5 s Response time (95%): <12 s Zero offset A: <10 W/m² Zero offset B: <4 W/m² Directional response (up to 80° with 1000 W/m² beam): <15 W/m² Temperature dependence of sensitivity (-40°C to +70°C): <3% Output: 0 to 1VDC

Secondary Standard Pyranometer

Thermopile-based Pyranometer: Secondary Standard This thermopile sensor meets ISO 9060:1990 Secondary Standard requirements (highest possible ISO pyranometer performance category). It extends this quality to applications where maintenance is difficult and/or forms a major part of the cost of ownership.

The sensor uses a temperature compensated detector and has better linearity and long-term stability, lower thermal offset and faster response than a first class pyranometer.

The faster response time meets the requirements for solar energy monitoring.

Advantages:

Accurate solar radiation measurements Internal drying cartridge that will last for at least 10 years if the housing is not opened Applications: Operations that require accurate data for photovoltaic power.

Specifications:

ISO classification: ISO 9060 Secondary Standard Spectral range (50% point): 285 to 2800 nm Response time (63%): <0.7 s Response time (95%): <2 s Zero offset A: <7 W/m² Zero offset B: <2 W/m² Directional response (up to 80° with 1000 W/m² beam): <10 W/m² Temperature dependence of sensitivity (-40°C to +70°C): <1% Output: 0 to 1VDC

Magellan MX 501 with solar radiation sensor

Magellan MX Weather Station model 501 incorporates a silicon photodiode radiation sensor in the all-in-one sensor configuration including wind speed/direction, air pressure, temperature, relative humidity, compass and GPS.

Wavelength Sensitivity: 300 to 3000 nm Output Range: 0 to 1600 W/m² Resolution: 1 W/m² DIN Standard: IS0 9060 Second Class Sampling Rate: 1 Hz Units: W/m²

Pulsar Weather Station model 501 integrates a second class thermopile solar radiation sensor in an all-in-one sensor housing with ultrasonic wind speed and direction, temperature, relative humidity, air pressure, and electronic compass.

Model 501 ISO classification: Second Class Response time (95%): <18s Non-stability (change/year): <1% Non-linearity (0 to 1,000 W/m²): <1% Directional error (at 80° with 1,000 W/m²): <20 W/m² Temperature dependence of sensitivity: ±5% (-10 to +40°C) Tilt error at 1,000 W/m²: <1% Spectral range (50% points): 300 to 2800 nm Maximum irradiance: 1400 W/m²

Pulsar Weather Station models 800, 700, and 502 incorporate a silicon photodiode radiation sensor in the all-in-one multi-parameter sensor configuration. Model 502 offers ultrasonic wind speed and direction, temperature, relative humidity, air pressure, electronic compass. Model 700 and 800 add Doppler Radar precipitation measurement. Model 800 also adds lightning detection.

Models 800, 700, 502 Response time (95%): <1 s Unit: W/m² Accuracy: 5% Spectral range (50%points): 300 to 1100 nm Measuring range: 1400 W/m²

See article with links to sensor options at : https://columbiaweather.com/resources/solar-radiation-sensors/

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