In a world of driver-less cars and artificial intelligence, companies have an increased need to focus on safety in the workplace. Getty Images

New technologies — driverless vehicles, delivery drones, and AI — are making an accelerated push into operational excellence across industries, and are generating a lot of attention. Hype notwithstanding, we need to also think also about safety and risk and how to prevent safety incidents before they occur so that safety operates in partnership with new technologies and innovation.

Today, safety as process that is wrapped into ones' organizational culture requiring companies to look beyond intended performance and innovation breakthroughs, to their own assumptions about safety. And how it works and does not work, despite best efforts, financial investments and operations programs that are intended to create a culture that is incident free in the workplace.

When firmly in place, an effective safety culture instills an environment where employees differentiate between events which, while detrimental to performance, have low probability of generating an incident, and those with seemingly minimal impact on performance, yet high probability of escalation into full-blown safety incidents, accidents and sometimes deaths.

Six safety principles

Creating safety in the workplace requires a new and different mindset which incorporates six sustainable safety behaviors:

  1. Leadership consistently practice positive regard and good intent to articulate, demonstrate and reinforce employee behaviors that exemplify a commitment to safety.
  2. Leadership clearly communicate safety objectives and provide employees information to enable and empower employees to make value-based decisions and set priorities consistent with their levels of accountability and roles in the organization.
  3. Leadership supports employees identifying real and perceived barriers to a safe environment in compliance with policies, regulations and risks.
  4. Leadership practice positive employee regard to encourage, and assume good intent to accept, constructive challenges to policies and practices that have little or no value.
  5. Leadership support and create an environment in which commitment to identify risks during the course of one's work activities and take action, when first seen, creates a mindset that will genuinely transform the organization.
  6. Leaders are visible and consistently viewed by employees as champions of safety every day.

Safety mindset threats

Many current safety efforts occur after the incident takes place. In other words, after an injury happens — someone falls off a lift, for example — actions are taken to prevent similar injuries in the future. This is known as reactive safety and is not an ideal solution. If we can determine the why of an accident, safety can become proactive.

An effective safety program trains everyone, and encourages safety precautions, as well as strives to understand and reduce risk, rather than waiting for an accident to occur.

With an effective safety program in place your focus is always on preventing injuries before they occur and targeting 80 to 90 percent of the risk. Through utilization of this kind of process worker-controlled program, precautions can prevent injuries, reinforces these behaviors, identifies and removes systems, conditions and obstacles that make it difficult or impossible to take the right precautions.

In addition, employees may be practicing vicious compliance, in contrast to authentic commitment to process safety, in which they follow management's policies, procedures and other mandates "to the letter", even in situations where other choices would make more sense.

The workforce may act unilaterally based on their own assumptions, for example:

  • "They talk a good game about process safety, but I know it's really about getting the work done. I'll operate to get the desired production rate, even if this pushes the equipment to its limit." Indeed, the oft-ignored employee assumption and resulting belief is that production trumps process safety.
  • Employees' reliance upon personal experience to evaluate risk of low-frequency events: "As an employee, my experience teaches me that I've worn my personal protective equipment 100 times and there has never been an incident. So, if I don't wear it this one time, especially since I am so busy, it seems to me that the associated risk of an incident is quite low. So, why does management constantly 'get on me' about wearing it? Aren't there more important issues facing us?"

Routine behavior often includes silence or compliance, but with little challenge of issues or conversation about what could or might happen. As a result, management may perceive that all is well when in fact employees have significant concerns and issues.

To avoid major safety incidents, both known and unknown, an organization can take process safety to the next level by:

  • Exploring and challenging deeply-held beliefs, values, and assumptions by examining the underlying antecedents of process safety behaviors and utilizing new technology systems that shut down operation when a safety situation is first detected before an incident occurs.
  • Achieving the desired operational discipline, including paperless documentation, setting expectations, defining critical cyber secure procedures, and linking executive bonuses to achieving safety goals.
  • Focus on practicing a leveraged safety program that delivers results in the most effective and efficient mean possible by frequently focusing on decreasing threats, risks and increasing attention and communications to prevention, detection and correction.

The ultimate effective safety process and program relies upon effective use of new technologies in the workplace self- and organizational awareness, and the constant, never-ending focus on safety everyday and minute that we spend in the workplace.

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Mark Hordes is principal at Houston-based Mark Hordes Management Consultants LLC, an organizational consulting advisory.

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Houston researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”

12 winners named at CERAWeek clean tech pitch competition in Houston

top teams

Twelve teams from around the country, including several from Houston, took home top honors at this year's Energy Venture Day and Pitch Competition at CERAWeek.

The fast-paced event, held March 25, put on by Rice Alliance, Houston Energy Transition Initiative and TEX-E, invited 36 industry startups and five Texas-based student teams focused on driving efficiency and advancements in the energy transition to present 3.5-minute pitches before investors and industry partners during CERAWeek's Agora program.

The competition is a qualifying event for the Startup World Cup, where teams compete for a $1 million investment prize.

PolyJoule won in the Track C competition and was named the overall winner of the pitch event. The Boston-based company will go on to compete in the Startup World Cup held this fall in San Francisco.

PolyJoule was spun out of MIT and is developing conductive polymer battery technology for energy storage.

Rice University's Resonant Thermal Systems won the second-place prize and $15,000 in the student track, known as TEX-E. The team's STREED solution converts high-salinity water into fresh water while recovering valuable minerals.

Teams from the University of Texas won first and second place in the TEX-E competition, bringing home $25,000 and $10,000, respectively. The student winners were:

Companies that pitched in the three industry tracts competed for non-monetary awards. Here are the companies named "most-promising" by the judges:

Track A | Industrial Efficiency & Decarbonization

Track B | Advanced Manufacturing, Materials, & Other Advanced Technologies

  • First: Licube, based in Houston
  • Second: ZettaJoule, based in Houston and Maryland
  • Third: Oleo

Track C | Innovations for Traditional Energy, Electricity, & the Grid

The teams at this year's Energy Venture Day have collectively raised $707 million in funding, according to Rice. They represent six countries and 12 states. See the full list of companies and investor groups that participated here.

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This article originally appeared on our sister site, EnergyCapitalHTX.com.