Challenges for startups

Our partners are looking for solutions for some crucial problems. They not only would like to test your solutions but also to pay for them. Your chances for acceleration phase will grow if you help our partners with their pains.

Challenge 1: Creating an cyber security incident aggregator IT/ OT 

Recipient of the solution: PZU Lab

Hashtag: #datascience

Desired action effect: The main goal of the challenge is to design and implement an IT platform that aggregates information on cybersecurity threats.
The platform is designed to collect data from various sources (with different levels of credibility) and arrange and present them in an accessible and interactive way.
The input data can come from commercial and free sources or can be made available by third parties. Ordering the data must be done in a such a way that is regardless of their source. The aggregator output data must have the same format and follow the same logic.
The users of the platform will also be able to influence the quality of the transmitted data, for example, by marking certain information as obsolete thus changing the status of a given event in the system.
This solution will allow organizations and commercial entities to effectively prevent and counter cybercriminal threats aimed at their IT and OT infrastructure.

Challenge 2: Visualization of risks arising in high risk industrial plants based on predefined loss scenarios

Recipient of the solution: PZU Lab

Hashtag: #datascience #proptech

Desired action effect: The system should meet the following conditions:

1. the 3D model should be a representation of an existing chemical plant or contain the most frequently occurring production infrastructure;
2. the 3D model must be subjected to further work using rendering engines -texturing and lighting, so that the final image is close to reality;
3. contain a minimum of 3 insurance loss scenarios, from the primary cause to the final effect;
4. present molecular simulations, such as explosions, fires, liquid molecules using appropriate software and additional plug-ins at the compositing stage;
5. animations should include elements of motion-design;
6. user interface offering the option to choose a scenario;
7. animations should be enriched with a soundtrack along with a lector describing particular events from the programmed scenario;
8. present information about objects, devices, machines along with data showing the extent of loss, such as the value of property, PML etc., used in the loss adjusting process;
9. offer the possibility of adding another scenario to the developed chemical plant model

Challenge 3: An automatic assignment system of visual inspection for mobile experts

Recipient of the solution: PZU Lab

Hashtag: #datascience 

Desired action effect:

1) The solution should ensure automatic assignment of visual inspection to mobile experts, including:
a) the location of the inspection,
b) the availability of mobile experts,
c) the efficiency of mobile experts,
d) type of inspection / tasks (visual inspection, property, agricultural, technical activities, property vetting, visual inspection)
e) customer preferences as to the date of inspection.

2) It is necessary to ensure an active response to changes such as: sudden absence of an employee, changes (translation, cancellation, change of date or place of inspection), various locations of the inspection depending on the time of day, mass damage (eg in case of change of inspection date) by the client, the system should set up a new time-out and assign a mobile expert).

3) The system administration panel should enable the parameterization of the visual inspection quota for mobile users outside the given region (eg for handling mass damages)

4) The system should ensure the possibility of arranging various types of visual inspection, such as: video inspection, inspection at a stationary inspection point (filling station, car wash, etc.). It should be possible to include this type of visual inspection in the automatic allocation of visual inspection.

5) The system should inform the customer about the date and current status of the inspection in the form of an SMS / email.

6) The system should take into account the involvement of employees from outside the PZU Group, in particular:
a) Taking into account access for employees from outside the PZU Group.
b) It should be possible to import ME data with the addition of the employment company and categories (Liquidator, Mobile Expert).
c) Detailed information about the employee should be provided to enable the correct allocation of inspections (eg what types of damage can be handled).

7) It should be possible to define the number of inspections that can be assigned to a given group of employees (eg. 50% for employees of group A, 30% for group B, 20% for group C).

8) It should be possible to import information about the inspection into damages outside PZU SA.

9) It should be possible to parameterize the inspection priorities for damages from SLS and other systems. The automatic examination should be arranged in accordance with the specified parameters.

10) Create an administrative panel that should allow configuration:
a) types of inspection for service (visual inspection, property, agricultural, technical activities, property inspection, visual inspection)
b) employees to whom a visual inspection may be assigned
c) inspection weights (unit for settlements)

11) It is necessary to ensure reporting with data available from the current day:
a) performing the inspection in accordance with the planned time window
b) billing reports
c) detailed reports taking into account the course of the inspection (change of status with an indication of the reason for the cancellation / postponement of the inspection, reason for additional inspections)
(d) the number of damage by region.

12) An interface for a mobile expert (website / mobile application requiring authentication) should be provided to ensure:
a) management of assigned inspections (cancellation, postponement, implementation)
b) communication with the client – with the possibility of engaging the client’s supervisor for this purpose
c) choosing the inspection
d) attached documentation for inspections
e) defining availability (planned and unplanned holidays, redundancies, shorter working hours of a given day)

The above factors should be taken into account in the process of automatic allocation of inspections.

Challenge 4:Use of the “Industry 4.0” concept in risk management of industrial plants by using the Industrial Internet of Things (IIoT)

Recipient of the solution: PZU Lab

Hashtag: #datascience #IIoT

Desired action effect: Designing and implementation of a prediction system that anticipates failures in wind farms, based on machine learning / deep learning along with connected large data sets (big data). The proposed solution should analyze historical information and incoming real-time data in an autonomous operating mode with only limited or even without human intervention if possible. The developed algorithm should conduct observation and draw conclusions about the technical condition of the wind farms, in particular by monitoring the work of the gearbox, turbine and generator based on the data of their dynamically changing states using new, dedicated and/or already existing measurement sensors.

The application of the above solution is to allow cost optimization for wind farm operators and reduction of insurance losses due to minimization of the number of downtimes caused by inspections and component failures. The suggested solution should be based on the tools of Condition Monitoring (Vitro diagnostics) and Predictive Maintenance. The system should also enable data exchange about the technical condition of machines covered by real-time monitoring together with forecasting of potential failures, expressed as probability factors. Basic functionalities should include the following general functionalities:

• Editing user rights and settings
• Creating and editing objects (wind farms)
• Editability of the structure of objects
• Editable description of individual objects
• Data preview and their import to selected objects

These functionalities should be supplemented by an analytical package allowing for:

• Generation of analytical models
• Management of individual models and their priorities
• Anomaly detection and Predictive Maintenance using various control methods
• Recalibration of existing models
• Editable level of warnings and alarms in each of the proposed models
• Adding a predictive model to the repository
• Optimization of the prediction timeframe

And also monitoring elements:

• A graph showing the probability of failure for specific machines and devices
• Dashboard with all information regarding monitored machines and devices
• Prediction of failures in real time
• Changing the level of view

Challenge 5: Water detection system based on wireless sensors that do not require a network connection

Recipient of the solution: Olivia Business Centre

Hashtag: #proptech

Desired action effect: Design and implementation of a system consisting of a set of maintenance-free measuring devices and an application layer that allows continuous monitoring of the conditions of rooms in terms of flooding detection over a very long period of time. The planned system must meet the following baseline requirements:

• introduce measuring devices that would be capable of trouble-free and maintenance-free operation for 10 to 15 years
• the designed devices must allow installation without the need to carry out calibration, maintenance and activities that require servicing, i.e. replacement or charging of the power source; it should also be effortless
• devices must use wireless connectivity to exchange information with the upper level of the system
• the designed solution for the application must contain the ability to save data regarding the activation of sensors and their states and to share this information in the form of system-level files (logs) with the possibility of browsing and viewing them
• automatic generation of alerts based on detected events
• optional visualization of rooms and floors where flooding was detected using a representative schematic view of a given building
• the possibility of integrating the designed system with the currently functioning BMS (Building Management System) solution
• ensuring cybernetic security, i.e. protecting the system against interference and unauthorized access by unauthorized persons

The proposed solution should meet the condition of being highly innovative, i.e. by taking into account within its architecture the latest solutions in the field of IoT technology, security, communication while minimizing energy consumption.

Challenge 6: Solutions integrating OBC with the environment in the areas of public, private, shared transport and information about mass events

Recipient of the solution: Olivia Business Centre 

Hashtag: #proptech

Desired effect: Development of an integrated solution – a system – combining elements of B2B and B2C, based on smart, artificial intelligence methods in order to achieve efficient management, the sale of additional services and to inform users (customers and partners the business centre).

Introduced system aims to contribute as a significant competitive advantage, and should fill a niche market of the identified needs of the branch managers and Residents of the large commercial real estate such as Olivia Business Centre. The solution should enable:

• more efficient space management, including the ability to communicate with users, through the “passenger information system” dedicated to OBC space users
• engagement of residents in public events and interaction with OBC related space, including the possibility of buying online services, booking places, attaching to events, etc.

Both points should also be available for foreigners who may have limited access to information about OBC / OBC environment and OBC / Tri-City.

Challenge 7: A detailed concept of a spatial information system for the terrain of the Port of Gdansk

Recipient of the solution: The Port of Gdansk Authority

Hashtag: #datascience

Desired action effect:

Challenge 8: A system for monitoring technical condition of the quays of the Port of Gdansk

Recipient of the solution: The Port of Gdansk Authority

Hashtag: #proptech #transport&logistics

Desired action effect: Automatic IoT system for measuring and aggregating data on the technical condition of port infrastructure, eg wall thickness measurement, wall tightness test, concrete quality testing.

Challenge 19: A system for monitoring technical condition of the quays of the Port of Gdansk

Recipient of the solution: The Port of Gdansk Authority

Hashtag: #proptech #transport&logistics

Desired action effect: The goal of the project is to create a web-based platform enabling holding the records of water-rights permits and creating data on costs related to the discharge of rainwater in the Port area.

Challenge 20: A guide application about port companies meant for external carriers

Recipient of the solution: The Port of Gdansk Authority

Hashtag: #proptech #transport&logistics

Desired action effect: The challenge is to develop an application that would contain information to help companies and companies from the land side to operate on the port area. This information would include, inter alia, locations of offices, warehouses, terminals with information about parking lots (also buffer) as well as formalities required in given points. The aim of this project is to liquefy traffic in the Port by facilitating the navigation and movement of drivers especially during the first visits.

Challenge 21: An augmented reality application for visitors of the Port of Gdansk

Recipient of the solution: The Port of Gdansk Authority

Hashtag: #proptech #transport&logistics

Desired action effect: The subject of the project is to develop an application that allows real-time viewing of descriptions, historical photos and visualizations in various locations in the Port of Gdansk. The aim of this project is to promote the Port in the form of a virtual, multilingual museum, covering the past, present and future in individual locations.

Challenge 22: Integration of the satellite module with the drone, in order to eliminate the limitation of the control range.

Recipient of the solution: PZU Lab

Hashtag: #space #transport&logistics

Desired action effect: The element of the project should be testing and integration of satellite communication modules in Unmanned Aerial Vehicles (UAV). The project is aimed at lifting the limit in drones, which is the scope of control over UAV.

Teams applying for the project should have selected and willing  to cooperate technological partners in the field of satellite as well as in drone sector. It is important that the satellite modules will be light and economical in terms of power consumption. In the other hand drones adapted for flights out of sight of BVLOS must met the requirements of Polish law in this area. Unmanned Aerial Vehicles must be in the <25 kg category as the final product is intended for use in the civilian market. The technological partner from the UAV side should produce both multi-rotor drones as well as airplanes. The minimum required flight time for a UAV airframe, which will be integrated with the satellite module is 8 hours.

The integration of the satellite module with the drone is to rely on the connection of appropriate components with each other, so that the drone can be controlled by the satellite module. The project will significantly increase the scope of control over the drone by the operator.

Challenge 23: System generating semi-automatic operational procedures as well as supervising procedures for the needs of control over technical security of industrial facilities

Recipient of the solution: PZU Lab

Hashtag: #space #transport&logistics

Desired action effect: The element of the project should be testing and integration of satellite communication modules in Unmanned Aerial Vehicles (UAV). The project is aimed at lifting the limit in drones, which is the scope of control over UAV.

The solution consists in semiautomatic generation of procedures that meet the set requirements of safety standards (eg ISO 31000) on the basis of diagrams of industrial processes and dynamic readings of KPI values. Along with the procedures, real-time adaptive checklists loaded onto the tablet of the Technical Safety Officer (PZU-LAB structure) that will be celebrating the installation will be generated.