WO2021248143A2 - Sensor multistage data concentration - Google Patents
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Abstract
This invention is in the field of providing the integration of hardware and software for rich data sensors connected together by data concentrators with appropriate levels of data details gathered and filtered by Artificial Intelligence (AI) methodologies on Host computers to make post processing of the data securely transmitted to the Internet of Things, further data is concentrated on Cloud servers by AI for lowest bandwidth, providing low-cost data storage per machine. Component is a part or element of a larger whole, especially a part of a machines or vehicles' shape and relative arrangement of the parts of something with Three-Dimensional (3D) geometry based on mathematics defining where to place sensors relative to the properties and relations of any point, line, segment, ray, angle, polygon, curve, region, plane, surfaces, solids, and higher dimensional analogs. Universal sensor system on Internet of Things accurately integrated to humans by data concentrators linked to Cloud for automated secure separation of Alarm Alert data from sensor data freed to the public domain for service, products, rescue machine mobility, robots, drones, crews, and any warnings to humans of events sensed.
Description
TITLE: SENSOR MULTISTAGE DATA CONCENTRATION
IN VENTOR(S) : Kevin Supinger
TECHNICAL FIELD
[0001] This invention is in the field of providing the integration of hardware and software for rich data sensors connected together by data concentrators with appropriate levels of data details gathered and filtered by Artificial Intelligence (AI) methodologies on Host computers to make post processing of the data securely transmitted to the Internet of Things, further data is concentrated on Cloud servers by AI for lowest bandwidth, providing low-cost data storage per machine. Component is a part or element of a larger whole, especially a part of a machines or vehicles’ shape and relative arrangement of the parts of something with Three-Dimensional (3D) geometry based on mathematics defining where to place sensors relative to the properties and relations of any point, line, segment, ray, angle, polygon, curve, region, plane, surfaces, solids, and higher dimensional analogs. Universal sensor system on Internet of Things accurately integrated to humans by data concentrators linked to Cloud for automated secure separation of Alarm Alert data from sensor data freed to the public domain for service, products, rescue machine mobility, robots, drones, crews, and any warnings to humans of events sensed.
BACKGROUND OF THE INVENTION
[0002] The Internet of things (IoT) describes the network of physical objects — a.k.a.
"things" — that are embedded with sensors, software, and other technologies for the purpose of connecting and exchanging data with other devices and systems over the Internet. Things have evolved due to the convergence of multiple technologies, real-time analytics, machine learning, ubiquitous computing, commodity sensors, and embedded systems. Traditional fields of embedded systems, wireless sensor networks, control systems, automation (including home and building automation), and others all contribute to enabling the Internet of things. In the consumer market, IoT technology is most synonymous with products pertaining to the concept of the "smart home", including devices and appliances (such as lighting fixtures, thermostats, home security systems and cameras, and other home appliances) that support one or more common ecosystems, and can be controlled via devices associated with that ecosystem, such as smartphones and smart speakers. The IoT can also be used in healthcare systems. There are a
number of serious concerns about dangers in the growth of the IoT, especially in the areas of privacy and security, and consequently industry and governmental moves to address these concerns have begun including the development of international standards. Difference Between Internet and Cloud Computing is that the Internet is a worldwide collection of networks that links millions of businesses, government agencies, educational institutions, and individuals. Cloud computing is an Internet service that provides computing needs to computer users. Cloud is a global single ecosystem network of servers, each server with a unique function which is not a physical entity, but instead is a vast network of remote servers around the globe which are hooked together operating as one system.
[0003] One drawback of the prior art is the lack of information of the vessel’s environment related to universal safety of people and vessels (space, terrestrial, or water).
[0004] One drawback of the prior art according to published news of several vessel tragedies (e.g., Los Angeles Diver Fire) there was a need to modernize sensing for people and vessel safety. This invention teaches a need for recreational, commercial, and military applications of optimized Environmental Safety Sensor-Systems. This invention presents the idea that there needs to be a way to provide data on individual “ship” compartments (components) in a multiple talker and listener environment to monitor and respond to emergencies. In an adaptive embodiment, which supplies power to each sensor, these hardwired “CAN bus” using NMEA protocols such as NMEA 0183, NMEA 2000 and ONE-NET, including future protocols, are all international messaging protocol standards on an easy to install bus providing a robust “integrated” and Internet of Things Cloud connected implementation.
[0005] This invention presents that up to 250-sensors (or more) are physically connected to a CAN bus that segments all sensors to Printed Circuit Boards (PCBs).
[0006] In a morphing embodiment, multiple segments can be supported with network bridges providing unlimited Environmental Safety Sensor’s System linked to the Cloud.
[0007] In a combined embodiment of many designs, custom sensors, and systems:
Accordingly, one of the objects of the present invention is to modify designs into new products and retrofitted for existing machinery by providing an improvement in designed circuits, layout Printed Circuit Boards (PCBs), assemble the PCBs, and then write firmware for the microcontrollers. Desktop (Host computer) application software is written for concentration of data and encryption for transmission to the Azure Cloud or other Cloud. Azure Cloud software is created for Internet of Things (IoT) hubs, incoming data decryption, separation and storage per vessel or sensors fixed in a particular stationary place within stationary or mobile systems.
[0008] A Cloud-based Customer Identity Access Management (CIAM) solution capable of supporting millions of users and billions of authentications per day is an identity service for consumer-facing applications enabled by authentication in a web application using Azure Active Directory (AD) Business-to-Consumer (B2C) referenced as Azure AD B2C, so when Azure AD B2C presents a sign-in page with a sign-up link, customers can apply social accounts (e.g., Facebook, Linkedln, Google+, Amazon,... or more) too to manage data in the Cloud. Data management has no limits, after enabling authentication in a web application by providing unique Azure files (e.g., “*” can be any file name: *. docs. microsoft.com) into an Active Directory (AD or AAD) for Business-to-Consumer (B2C) service. This invention teaches instead of each sensor connecting to the Cloud with full bandwidth of data streams, this invention’s sensor data is gathered by a data concentrator before going to a gateway for upload with Azure AD B2C security of only necessary data instead of all data, which would consume too much bandwidth. This invention teaches how to provide a lower bandwidth transmission for bidirectional interface. (Microsoft platform improved by this invention based on 02-0ct-2020 Azure past standards). [0009] Blazor applications are built using components. A component is a self-contained chunk of User Interface (UI), such as a page, dialog, or form. A component in Blazor is formally referred to as a Razor component. A component's name must start with an uppercase character. For example, My SensorOOl. razor is valid. A component includes HTML markup and the processing logic required to inject data or respond to UI events. Components are flexible and lightweight and can be nested, reused, and shared among projects. Razor components are generated as partial classes. Razor components are authored using either of the following approaches: C# code is defined in an @code block with HTML markup and Razor code in a single file. Using Blazor C# (Blazor templates define their Razor components using this approach. A Power BI visualization is constructed using data from your datasets. If you are interested in seeing behind-the-scenes, Power BI lets you display the data that is being used to create the visual. When you select Show Data, Power BI displays the data below (or next to) the visualization. C# code is placed in a code-behind file defined as a partial class) and B2C authenticated web pages provide display Power BI data/graphs to end users. Components are implemented in Razor component files (*. razor) using a combination of C# and HTML markup. [00010] Show Data and Export Data are both available in Power BI service and Power BI Desktop. However, Power BI Desktop provides one additional layer of detail; Show Records displays the actual rows from the dataset. Power BI is the display of a visualization's underlying data Export Data from Power BI visualizations. You can also export the data that is being used
to create the visualization as an *.xlsx or *.csv file and view it in Excel providing Legal or Research records for events documented by sensors.
[00011] This invention teaches a new concept of how data gathers: In electronics, a multiplexer (or mux; spelled sometimes as multiplexor), also known as a data selector, is a device that selects between several analog or digital input signals and forwards the selected input to a single output line. The selection is directed a separate set of digital inputs known as select lines. Data concentrator is a type of multiplexor that combines multiple channels onto a single transmission medium in such a way that all the individual channels can be simultaneously active. Accordingly, one of the objects of the present invention is to provide improved Data Concentrators that are also used in Local-Area Networks (LANs) to combine transmissions from a cluster of sensor-nodes integrated through PCBs for transmission to the Cloud (IoT) and bidirectionally back from IoT to remote Host computer. Azure Cosmos DB is NoSQL database modern app development.
[00012] A machine might have several sensors (including wireless sensors) which need to have their data gathered by a concentrator before going to a gateway, instead of each sensor connecting to the Cloud with full data streams called a large bandwidth. Some sensor modules have multiple sensors on them, defined by a new role of gateways to provide the rich data stream to data concentrators to the Cloud for post processing. Gateways get the data to the Cloud for further processing.
[00013] A command to a device does not need concentration, just percolates as 8 bytes to the end device with cloud software being the tertiary data concentrator.
[00014] Marine internet data bandwidth is a premium, typically satellite bandwidth is received at 56K bps with 5.6K bps for upload. This is used by the entire vessel (boat) and it’s systems.
[00015] Typical vessel data is 5K - 8K messages at 16 bytes per message (or 160 bits per second X 8000 = 1.28 mbps (megabytes per second)), which is way over the available TX data rate, the reason why data has to be filtered down to relevant data concentrated snapshot dashboard only.
[00016] PCB’s CAN bus Gateway to Host Computer. A three-dimensional (3D) CAD Geometry is a database of the geometrical description of the structure's components (parts) where each sensor is located to data capture; and instead of each sensor connecting to the CLOUD with full bandwidth data streams their sensor data is gathered by a data concentrator before going to a gateway for upload with Web service Active Directory (AD) Business-to-Consumer (B2C)
security of only necessary data providing a lower bandwidth transmission for bidirectional interface over the CLOUD.
[00017] Yet a further drawback of the prior art is that sending all the data to the Cloud would be too much bandwidth. This invention teaches it is better to accumulate the averaged data and send periodic snapshots of data. This is where dashboards come in relative to sending non- graphical pixel based periodic screen snapshots, but of actual data defined in this invention as dashboard data to the Cloud. IoT can also be Industrial Internet of Things (IIoT) and only Fiber Optical Cables or wire modems could be linking data together.
[00018] In typical prior art we have host computer dashboards which provide a visual display to humans of data that is summarized. In an adaptive embodiment this invention teaches the same concept of summarized data is converted into the dashboard data form, then the dashboard data itself is sent to the Cloud in a non-graphical snapshot or dashboard data concentrated. The data snapshot is completely redefined in this invention as a data concentrator, something that Artificial Intelligence (AI) can analyze, and it can compare that intelligence with what a human can see in a visual display. So, these dashboards can be played back using a time frame span to determine which is interesting relevant to data patterns organized by AI from data concentrators.
[00019] In a combined embodiment, for many sensors to be useful a common scenario is for someone that wants to gather a bunch of data on a marine vessel, so when they first get started with a customized list, like this data example: GPS location, amount of fuel, amount of freshwater, or how much is in the holding tanks is first requested. This invention teaches really useful data can be displayed remotely very quickly because data is gathered by a remote host computer data concentrator before going to a gateway, instead of each sensor connecting to the Cloud with full data streams taking more time and bandwidth, so prior art reduced safety and mobility engineering management. Next, they might want to know about engine data, so with an engine you know you would have RPM, oil pressure, water temperature, battery voltage, and there is usually much more data available.
[00020] Yet a further drawback of the prior art sensor systems, they were not adequate in such mobility engineering optimization objectives because when only four or five variables on an engine are monitored it does not make sense because you want to be able to see more past data in detail for maintenance and anomaly detection. This invention teaches gather all data by AI data concentrators providing any variables needed to monitor and optimize data of any kind.
[00021] A sensor multistage data concentration provides a plurality of said sensors to data capture a process for achieving the extraction of relevant data while the related operation or transaction is occurring. A printed circuit board combines a plurality of sensors together into a concentrated database of said data captured. A CAN bus protocol’s multiple sources of sensor data is transferred from the printed circuit board by the CAN bus connection to a host computer. Sensor data captured is converted into a dashboard data form by host computer. Artificial Intelligence program on remote host computer sorts and data concentrates only relevant sensor data required relative to each sensor. A sensor's data is converted into the dashboard data form in the host computer for bidirectional exchange over said Internet of Things at a minimum bandwidth. A non-graphical periodic snapshot of data defined as dashboard data, which provide a visual display to humans of data that is summarized data snapshot of data transferred through the Internet of Things’ Cloud IoT hubs.
[00022] This invention presents the idea that adding to the richness of the data is what is important. Rich data refers to processes used to enhance, refine, or otherwise improve on reducing high bandwidths of raw data. Rich data may use several data concentrator steps to preserve what’s valid data needed and shedding non useful data along the way. This dramatically speeds up BI and AI application data query bidirectionally from source of data and back to distant Cloud (IoT) human activity providing all data: geometric location (GPS), pathway with stopping locations, scheduled time, speed of travel, earth’s natural interference forecasted, and most important BI and AI application data query of the IoT service and product suppliers are matched to sensor data relative to what products and services are required where and when. Record history of vendors and government’s quality requirements can be valid vendors, or not, to manage purchases.
[00023] U.S. Bureau of Safety and Environmental Enforcement promoting safety, protecting the environment and conserving offshore resources https://www.bsee.gov/
[00024] The purpose of safety alerts is the rapid dissemination of information to the public about conditions that, if left unaddressed, pose urgent threats to safety of life at sea and/or severe material damage. Government claims they are not used to implement changes to policies, regulations, or laws but this invention’s universal sensor data will change and optimize everything.
[00025] Three examples 420, 419, and 420 of U.S. Government Safety Alerts List below:
[00026] United States Coast Guard and U.S. Department of Homeland Security https://www.dco.uscg.mil/ also have Safety LISTS to focus notices on from this invention’s sensor system. [00027] Safety Alerts, product maintenance notifications, here is one line in text form: In the Properties you will notice: "{"AlarmAlert":"false",''vesselMotionAlert":"true"},"
[00028] NOTE the “Body” is vessel data encrypted.
[00029] These properties are always in the header so they can be scanned for dequeue (to remove from a queue) first for emergency. This reduces the latency by not having to read all the data to decide. So, emergency alarms from devices when an emergency occurs are sent on the CAN bus. The NMEA 2000 alarms can be acknowledged by the host/dashboard software and instead of waiting for next upload time, it immediately sends to the cloud with the Alarm Alert property set to true. This is immediately recognized from a peek at the concurrent queue by the cloud software for alerts to process immediately, then sends out alerts immediately for assistance, dispatch robotic/vehicles, etc.. Further alert information describing the actual alarm is in the “Body”: data.
{ "EnqueuedTimeUtc" : "2021 -05- 14T 17 : 36 : 31.3960000Z ", "Properties" :
{ " AlarmAlert" : "false", "vesselMotionAlert" : "true" " SystemProperties" :
{ "connect onDeviceId":"TollyCraft","connectionAuthMethod":"{\"scope\":\"device\",\"type\":\"s as\",\"issuer\":\"iothub\",
Y'acceptinglpFilterRul e\":null}", "connectionDeviceGenerationld": "637498287225267606", "enqu euedTime" : "2021 -05- 14T17:36:31.3960000Z"},
[00030] "Body":"eyJJZCI6MSwiVHMiOiIyMDIxLTAlLTE0VDE3OjM2OjI4LjM3ODc5 NDYrMDA6MDAiLCJEZXZpY2VJZCI6IlRv... (Body Text deleted)... pm YWxzZXldfQ=="} 120k Total file size relative to number of sensor what is periodically uploaded:
[00031] Acoustic and vibration analyzer: Designed to monitor pumps, shafts, motors for abnormal operation applies Pressure Zone Microphone (PZM) generally refers to a "boundary microphone" in which a small omnidirectional condenser mic capsule faces a boundary a few thousandths of an inch away to analyze the vibration signals of the Internal Combustion Engine (ICE) to detect the existence of any fault utilizing Fast Fourier Transform (FFT), which this invention teaches as a methodology implemented as a sensor-system for an Internal Combustion Engine, or as a feedback to an ignition system.
[00032] ICE and FFT-based signal analysis to determine if abnormal sounds are present based on an original reference sample, including filtering out human voices and sonic-activity of humans from the basic functions of the Power Spectrum, and the Cross Power Spectrum. Using these functions as building blocks, you can create additional measurement functions such as frequency response, impulse response, coherence, amplitude spectrum, and phase spectrum. Fast Fourier Transform (FFT) is an algorithm that computes the Discrete Fourier Transform (DFT) of a sequence, or its Inverse (IDFT). Fourier analysis converts a signal from its original domain (often time or space) to a representation in the frequency domain and vice versa. The DFT is obtained by decomposing a sequence of values into components of different frequencies.
Thereby allowing AI frequency spectrum comparison with respect to frequency and amplitude of spectra.
[00033] Fluid level: Detects tank liquid level either by float, ultrasonic or radar sensors.
[00034] Radar. Can be used in vehicles or industrial processes for accurate millimeter distances or on road distance/closing speed.
[00035] Quad precision thermo couple: Using K type thermocouples for temperature measurement of +0.022 C°. Great for freezers, engine exhaust temperature, sea water temp, etc. [00036] In another aspect of a preferred embodiment of the present invention
Compartment Environmental Safety Sensor as discussed above, in addition to the monitoring of
multiple compartments, in an emergency only, compartments with human presence need to be opened, which speeds the response relative to fire or capsizing evacuation time. Compartments with insufficient oxygen can be detected before entry. In addition, explosive gas concentrations in compartments can be detected, to ensure proper protective gear and to reduce chances of fire flash over.
[00037] In brief, one of the objects of the present invention is to provide an improved compartment sensor that uses state of the art integrated circuit sensors and can capture data on the following items, or more:
1. Fire and smoke detection using visible and Infrared light (IR) sensors.
2. Hydrocarbon content of air and other noxious gases, such as diesel, propane, carbon monoxide, carbon dioxide (CO2) levels.
3 Oxygen level monitoring for safe entry into a compartment.
4. Water level intrusion detection using laser distance measuring, which is accurate down to a tolerance of 0.5 mm (millimeters).
5. Human presence whether moving or still.
6. Ambient light conditions
7. 9 axis accelerometers capsized, roll, pitch, and yaw.
8. Etc
SUMMARY OF THE INVENTION
[00038] Accordingly, one of the objects of the present invention on the safety side, is to provide reliable early fire and human presence detection and redundant audible alarms at all stations throughout a vessel (ship), which this invention’s embodiment of Environmental Safety Sensor placed in vessel compartments is an improvement that would have prevented a Los Angeles Diver Fire.
[00039] In an advanced embodiment of this invention, it would be useful for ice laden commercial fishing vessels to be alerted of a capsizing potential or an imminent sinking from water intrusion potentially sinking a vessel using the 9-axis accelerometer. In an adaptive embodiment, Alar s/Warnings both audible and visual can be presented on multifunction displays throughout a vessel and not just a single annunciator. Displays show safe pathways out and could be verified by the ambient light sensor, providing a three-dimensional geometry of vessel details: entrance/exit, stairs, floor levels, compartments, engine rooms, and any details.
[00040] The present invention also provides a method for Environmental Safety Sensor data to be sent remotely to the Clouds and desktop applications linked to responders (emergency crews, firemen, navy crews.. or robotic or drone actions), and vendors providing services and products related to AI data from sensors and websites.
[00041] This invention teaches providing the integration of hardware and software for rich data sensors and connect data concentrators together with appropriate levels of data detail to make post processing of the data a useful activity to predict failure, maintenance, safety, and other needs. Process efficiency can also be analyzed and adjusted for a standard related to each sensor set. Data can be securely transmitted to the Cloud and stored per machine in low-cost redundant storage for future access.
[00042] Each device that is electrical or mechanical has an operating temperature, which is a component of reliability engineering this invention teaches is observed by thermal sensors to control many devices with one thermal sensor observing many temperatures of many components identified by Machine Learning (ML) then background filtered by Artificial Intelligence (AI) for control of devices, adding to data concentration for bidirectional exchange of data across the Cloud (IoT).
[00043] In a further embodiment of this invention it teaches providing a Cloud link to Environmental Safety Sensor-system for marine, land, and aerospace applications with a focus on a safety sensor-system to protect human life in vessels, aerospace, and land-based applications by providing an Internet of Things (IoT or Cloud) way to provide data on individual “ship” compartments in a multiple talker and listener environment to monitor and respond with mobility of machines and people to emergencies requiring rescue of people, vessels, mobility engineering, and all energy systems. The data can also determine fire gas concentrations before a fire and precise origin.
[00044] Systems design is the process of defining the architecture, product design, modules, interfaces, and data for a system to satisfy specified requirements. The application of systems theory to product development is the basis of systems design. This invention taches how to overlap disciplines of systems analysis from Machine Learning with sensors and Artificial Intelligence for system’s and human user’s bidirectional exchange of AI filtered data concentrator from actual site of an application across the CLOUD to one or more owners, managers, and factories providing components relative to architectural design, logical design, physical design, including related disciplines: alternative design methodologies, Rapid
Application Development (RAD), and Joint Application Design (JAD) to group and award product and service vendors to sustainability of products.
[00045] Sensor multistage data concentration with the PCB as primary, dashboard as secondary with cloud software being the tertiary data concentrator.
[00046] Commands to the device don’t need concentration, just percolates as 8 bytes to the end device.
[00047] Marine internet data bandwidth is a premium, typically satellite bandwidth is receive 56K bps with 5.6K bps for upload. This is used by the entire boat and it’s systems. [00048] Typical boat data is 5K - 8K messages at 16 bytes per message or 160 bits per second * 8000 = 1.28 mbps which is way over the available TX data rate, which is why data has to filtered down to relevant data concentrated dashboard only.
[00049] PCB CAN bus is the Gateway to Host Computer.
[00050] With these and other objects in view that will more readily appear as the nature of the invention is better understood, the invention consists in the novel process and construction, combination and arrangement of parts hereinafter more fully illustrated, described, and claimed, with reference being made to the accompanying drawings in which:
BRIEF DESCRIPTION OF THE DRAWINGS
[00051] The foregoing aspects and many of the attendant advantages of this invention will become more readily appreciated as the same become better understood by reference to the following detailed description, when taken in conjunction with the accompanying drawings, wherein:
[00052] FIGURE (FIG) 1 illustrates a schematic diagram of a system integration Personal Computer (PC) to Cloud gateway acting as a first level data concentrator, backbone circuit, bridge to Multiple Compartmental Environmental Safety Sensors, 2-Multi-Functional Displays (MFD) connected to 2nd-Backbone, which is connected to Multiple Compartmental Environmental Safety Sensors;
[00053] FIG 2 illustrates a Compartment Environmental Safety Sensors Block Diagram of Ambient Light, UV Light, Temperature Humidity, Smoke Detector Oxygen Level, Human Presence, Laser Distance, 9-Axis Accelerometer, VOC Gas Sensor, Analog Inputs, Digital Inputs, Digital Outputs, and MEA 2000 Interface/CPU;
[00054] FIG 3 illustrates a schematic diagram of a Compartmental Environmental Safety Sensor Application provided sensor digital input and digital output to integrate data to FIGURES (FIGS) 1 and 2 circuits, bridges, CPU’s, software, and multiple sensors;
[00055] FIG 4 illustrates a schematic diagram of Data / Control flow using IoT (Internet of Things) provided sensor digital input and digital output to integrate data to FIGS 1, 2, 3, 4, and 5 circuits, data concentrators, gateways, CPU’s, software, and multiple sensors, user experience with AI and BI Azure Cloud applications;
[00056] FIG 5 illustrates a schematic diagram of various CAN bus protocols for multiple sources of data management. The Internet of Things (IoT) and Cloud data processing with end user display and control of data;
[00057] FIG 6 is a non-graphical periodic snapshot of data defined in this invention as dashboard data, which provide a visual display to humans of data that is summarized data Screenshot transferred through the Internet of Things’ Cloud IoT hubs, this is not a pixelized screen shot. The data screen shot can be analyzed by BI and AI applications easily. These can be played back to help specific analysis functions and to verify AI data;
[00058] FIG 7 illustrates three electric generators controlled by temperature sensors.
DETAILED DESCRIPTION AND BEST MODE OF IMPLEMENTATION [00059] FIGS 1 through 7 definitions of descriptions used in this invention are below:
[00060] Sensor: A sensor is a device that detects and responds to some type of input from the physical environment e.g., An oxygen sensor in a car's emission control system detects the gasoline/oxygen ratio, usually through a chemical reaction that generates a voltage. In the broadest definition, a sensor is a device, module, machine, or subsystem whose purpose is to measure and detect events or changes in its environment and send the information to other electronics, frequently a computer processor. A sensor is always used with other electronics. [00061] Ambient Light: Photography and cinematography, available light (also called ambient light or practical light) refers to any source of light that is not explicitly supplied by the photographer for the purpose of taking pictures. The term usually refers to sources of light that are already available naturally (e.g., the Sun, the Moon, lightning) or artificial light already being used (e.g., to light a room).
[00062] Ultraviolet Light: Ultraviolet (UV) is a form of electromagnetic radiation with wavelength from 10 nm (with a corresponding frequency of approximately 30,000 THz) to 400 nm (750 THz), shorter than that of visible light but longer than X-rays. UV radiation is present in
sunlight, and constitutes about 10% of the total electromagnetic radiation output from the Sun. It is also produced by electric arcs and specialized lights, such as mercury -vapor lamps, LEDs, tanning lamps, and black lights.
[00063] Infrared light: Infrared (IR), sometimes called infrared light, is electromagnetic radiation (EMR) with wavelengths longer than those of visible light. It is therefore generally invisible to the human eye, although IR at wavelengths up to 1050 nanometers (nm)s from specially pulsed lasers can be seen by humans under certain conditions. IR wavelengths extend from the nominal red edge of the visible spectrum at 700 nanometers (frequency 430 THz), to 1 millimeter (300 GHz). Most of the thermal radiation emitted by objects near room temperature is infrared. Optical spectrometer (spectrophotometer, spectrograph, or spectroscope) can be a sensor to measure properties of light over a specific portion of the electromagnetic spectrum, spectroscopic analysis to identify materials, measure a light's intensity polarization state, wavelength of the light or a unit directly proportional to the photon energy, such as reciprocal centimeters or electron volts, which has a reciprocal relationship to wavelength, and spectroscopy for producing spectral lines and measuring their wavelengths and intensities. Spectrophotometers are designed to measure the spectrum in absolute units rather than relative units. Also, non- optical wavelengths are from gamma rays and X-rays (from far infrared).
[00064] VOC air quality: Volatile Organic Compounds (VOCs) are emitted as gases from certain solids or liquids. VOCs include a variety of chemicals, some of which may have short term and long-term adverse health effects. Concentrations of many VOCs are consistently higher indoors (up to ten times higher) than outdoors. This includes hydrocarbons, gases such as propane, benzene, heptane, acetylene, methane which are fire and explosion hazards.
[00065] Hardwired CAN bus: A Controller Area Network (CAN bus) is a robust and reliable vehicle bus standard designed to allow microcontrollers and devices to communicate with each other's applications without a host computer. A Controller Area Network (CAN) refers to a network of independent controllers. It is a message-based communications protocol that efficiently supports distributed real-time control with an extremely high level of security. The CAN bus standard was developed by Bosch and Intel and the version of the current standard has been in use since 1990 Using NMEA protocols such as NMEA 2000 is a combined electrical and data specification for communication between marine electronics such as echo sounder, sonars, anemometer, gyrocompass, autopilot, GPS receivers and many other types of instruments. It has been defined by, and is controlled by, the National Marine Electronics Association. CAN bus types and use: CAN bus is a multiple talker and listener bus with multiple controllers. It is
defined by international standards. It was original conceived by Robert Bosh in Germany. It is a well thought out very robust hardware/ software system. Most commonly found in automobiles for onboard diagnostics, control, and data among various controllers. It was mandatory for a vehicle in 1978 to support emission controls and saved 75-pounds of copper per vehicle when introduced. Below are all CAN bus variations with different baud rates and address lengths, as well as maximum distance.
[00066] CAN bus variations but could be more or less in future:
1) NMEA 2000 used primarily for marine data exchange and data collection.
2) J1979 - automotive CAN bus control and diagnostics
3) J1939 - diesel, heavy equipment, agricultural and forestry equipment
4) RS485 - industrial automation
[00067] Sensor communication types:
1. CAN bus ( hard wired )
2. Wireless ethemet
3. Battery suitable or low power i) BlueTooth ii) LoRa (new long distance low power) iii) ZigBee ( low power medium range)
4. Serial data, I2C and SPI
[00068] Engine control and monitoring unit sensor examples, so a few listed:
1. Ultrasonic Sensors
2. 4/8 SSR's or solid-state relays
3. 8 inputs pulled up
4. 1 Zero crossing detector / 2 for phase detect
5. TFT / cap touch connector
6. Phoenix contact 20 pin for IO
7. 1 CAN bus
8. Inductive gear tooth and TTL rpm input(s)
9. 4 Wheatstone sensors, power for sensors
10. Battery voltage
11. Emergency stop input
12. 12-24V operation
13. Dual diesel engine support?
14. Ambient light
15. Temperature and humidity
16. Etc...
[00069] NMEA 2000 gateway, backbone, and bridge, in FIG 1 : NMEA 2000, abbreviated to NMEA2k or N2K and standardized as IEC 61162-3, is a plug-and-play communications standard used for connecting marine sensors and display units within ships and boats. NMEA 2000 is a hot swappable, which simplifies maintenance and recalibration of sensors without powering down or disrupting the CAN bus. Message priority on the bus is hardware enforced among controllers so high priority messages are not lost. Communication runs at 250 kilobits- per-second and allows any sensor to talk to any display unit or other device compatible with NMEA 2000 protocols. Electrically, NMEA 2000 is compatible with the Controller Area Network ("CAN Bus") used on road vehicles and fuel engines. The NMEA 2000 higher-level protocol format is based on SAE J1939, with specific messages for the marine environment. Raymarine SeaTalk 2, Raymarine SeaTalkNG, Simrad Simnet, and Furuno CAN are rebranded implementations of NMEA 2000, though may use physical connectors different from the standardized DeviceNet Micro-C M12 5-pin screw connector, all of which are electrically compatible and can be directly connected. The NMEA 2000 protocol is used to create a network of electronic devices, chiefly marine instruments on a boat. Various instruments that meet the NMEA 2000 standard are connected to one central cable, known as a backbone. The backbone powers each instrument and relays data among all of the instruments on the network. This allows one display unit to show many different types of information. It also allows the instruments to work together, since they share data. NMEA 2000 is meant to be "plug and play" to allow devices made by different manufacturers to communicate with each other. Examples of marine electronic devices to include in a network are GPS receivers, auto pilots, wind instruments, depth sounders, navigation instruments, engine instruments, generators, and nautical chart plotters. Interconnectivity among instruments in the network allows, for example, the GPS receiver to correct the course that the autopilot is steering. NMEA 2000 defines a humidity and temperature sensor. Sometimes this also has barometric pressure.
[00070] Compartment Environmental Safety Sensor (CESS): The CESS provides more sensors, things like ambient light level, hydrocarbon, ammonia, oxygen and other gases detection, human presence, laser measured floor distance for water intrusion, smoke detection and 9-axis accelerometer. This would provide enough detail so that Cloud software would be
able to protect, predict maintenance and pinpoint the source of something such as a fire, explosive gases. The human presence detectors for the compartment and safety sensor per room would determine if there were humans present or not that would simplify ship evacuation or other transportation vehicles. No need to open a compartment if no humans are present, saving evacuation time.
[00071] ONE-NET is an open-source standard for wireless networking. ONE-NET was designed for low-cost low-power battery-operated control networks for applications such as home automation, security & monitoring, device control, and sensor networks.
[00072] Cloud: The Cloud is not a physical entity, but instead is a vast network of remote servers around the globe which are hooked together and meant to operate as a single ecosystem. These servers are designed to either store and manage data, run applications, or deliver content or a service such as streaming videos, web mail, office productivity software, or social media e.g., Microsoft’s Azure Cloud is based on all international messaging protocol standards on an easy to install Service Bus but providing a robust “integrated” and Internet of Things Cloud connected implementation.
[00073] Anomaly detection techniques (3 broad categories): (1.) Unsupervised anomaly detection techniques detect anomalies in an unlabeled test data set under the assumption that the majority of the instances in the data set are normal by looking for instances that seem to fit least to the remainder of the data set. (2.) Supervised anomaly detection techniques require a data set that has been labeled as "normal" and "abnormal" and involves training a classifier (the key difference to many other statistical classification problems is the inherent unbalanced nature of outlier detection). (3.) Semi-supervised anomaly detection techniques construct a model representing normal behavior from a given normal training data set, and then test the likelihood of a test instance to be generated by the learnt model.
[00074] Los Angeles Diver Fire: 02-September-2019 in Ventura County Fire Department Coroner's reports for the 34 victims who died in a scuba boat fire off the Southern California coast last year show they died of carbon monoxide poisoning before they were burned, authorities said. All thirty-three scuba divers and one crew member died in the Sept. 2 fire aboard the Conception, anchored off Santa Cruz Island. The only survivors were the captain and four other crew members, who were asleep above deck. The Santa Barbara County coroner’s reports list smoke inhalation as the cause of death for the 34 victims, all of whom were in the below- deck bunk room when the fire broke out. “The manner of death is considered accidental”, said Lt.
Erik Raney of the Santa Barbara sheriffs office. This could have been prevented with the CESS system described in this patent.
[00075] Machine Intelligence is described in this invention, which can be claimed as Artificial Intelligence (AI) that provides programs that analysis many sensors to determine what the sensors are measuring, which can evolve into additional sensing. The “intelligence” in AI refers to computer intelligence, Business Intelligent (BI) decision-making is provided by what data analysis and visualization can yield. BI helps provide order to the massive amounts of data stored. In prior art, neat visualizations and dashboards were not applying data concentrators. [00076] Devices operate effectively within a specified temperature range which varies relative to each devices function and application context, and ranges from the minimum operating temperature to the maximum operating temperature (or peak operating temperature). Outside this range of safe operating temperatures, the device may fail. Biological systems have a viable temperature range often referred to as an "operating temperature".
[00077] Normal operating temperature ranges are affected by several factors, such as the power dissipation of the device. These factors are used to define a "threshold temperature" of a device, i.e. its maximum normal operating temperature, and a maximum operating temperature beyond which the device will no longer function. Between these two temperatures, the device will operate at a non-peak level. For instance, a resistor may have a threshold temperature of 70 °C and a maximum temperature of 155 °C, between which it exhibits a thermal derating. Operating temperature may be the junction temperature (T ) of a semiconductor in an electric device. Integrated circuits have equations to manage junction temperature affected by the ambient temperature.
[00078] Thermography sensors accessing thermal imaging technique applying infrared thermal imagers provides data for AI data concentration for bidirectional communications. [00079] Since infrared radiation (IR) is emitted by all objects with a temperature above absolute zero degrees according to the black body radiation law, thermography makes it possible to see one's environment with or without visible illumination. Absolute zero is the lowest temperature that is theoretically possible, at which the motion of particles that constitutes heat would be minimal. Absolute zero is on the Kelvin scale, equivalent to -273.15°C or -459.67°F. The amount of radiation emitted by an object increases with temperature; therefore, thermography allows one to see variations in temperature. Thermal -imaging cameras provide accurate measurements of temperature differences at a safe distance. In very dark or otherwise obscured places cameras record heat sources but Artificial Intelligence (AI) in this invention
identifies heat sources. In addition to a visible spectrum, heat radiation can be measured by an infrared thermal camera (infrared thermometers function). Thermal imaging, and thermal video are examples of infrared imaging science. When viewed through a thermal imaging camera, warm objects stand out well against cooler backgrounds; humans and other warm-blooded animals become easily visible against the environment during day or night. In a crowd of people thermal imaging cameras identify infected individuals by picking those that have high feverish temperatures. In prior art a printing technique called thermography provided thermographic printing in all applications, including thermography in medicine, referenced as Non-contact thermography. Infrared thermography (IRT) is a thermogram, so an example; traditional building in the background and a "passive house" in the foreground. As a result, thermography is particularly useful to the military and other users of surveillance cameras in mobile engineering and stationary observations. This invention teaches applying AI to filter out background data to concentrate data by focusing and documenting the images that are important at what temperature level (lower or higher temperatures relative to objects differentiation) and location.
[00080] Image sensors detect invisible infrared (IR) light, and it is translated to a visual “thermogram”. Thermal cameras can have pixels starting at lower resolutions (e.g. 80x60 pixels, or 0.003 megapixels) with enough detail to pick out hotspots in wiring. Higher resolutions are always better, especially for thermal imaging at a greater distance, such as in security and rescue scenarios. Detail variations - 150mK sensitivity means each pixel takes readings to the nearest 0.15°C, so lower numbers are better for more accurate temperatures. Thermographic cameras usually detect radiation in the long-infrared range of the electromagnetic spectrum (roughly 9,000-14,000 nanometers or 9-14 pm) and produce images of that radiation, called thermograms. This invention teaches AI sorts and synchronizes each pixel relative to the important geometry locations specified as being stress areas by lst-Generation FEA stress analysis from source of products, so sensor monitoring ONLY collects important data documented during manufacturers mechanical component FEA analysis providing AI which geometric location components are in for sensor focus for only useful data collection.
[00081] Forward-looking infrared (FLIR) cameras, typically used on aircraft in prior art, use a thermographic camera that senses infrared radiation. The sensors installed in forward- looking infrared cameras, as well as those of other thermal imaging cameras, use detection of infrared radiation, typically emitted from a heat source (thermal radiation), to create an image assembled for video output. They can be used to help pilots and drivers steer their vehicles at night and in fog, or to detect warm objects against a cooler background. The wavelength of
infrared that thermal imaging cameras detect is 3 to 12 pm and differs significantly from that of night vision, which operates in the visible light and near-infrared ranges (0.4 to 1.0 pm).
[00082] This invention teaches incorporating radar chips for automotive applications into search light systems as a sensor. Radar chips can pinpoint objects, their distance, and closing velocity with contact time estimates. The search light can automatically find and track nearby objects and keep the beam on the target. This is ideal for fog or rainy conditions and has a range of 300 meters (or more in future technology). It is an Aid To Navigation (ATN) for vessels floating on water for mooring, locating channel marker buoys, obstacles early warning, etc., with bidirectional external system communication of concentrated data. Radar chip’s data is pixilated data when digitization converts geometry into an array of pixels, so Forward-looking infrared (FLIR) cameras output data are also pixilated during digitization. Machine Learning (ML) captures the geometry of all visual data and then it is digitized into an array of pixelated data where AI can sort out background images, only sending concentrated data bidirectionally.
[00083] An ocean vessel with compartment sensors for human safety was described as having a three-dimensional (3D) geometry within the databased onboard the vessel’s computer, so when a fire alarm signal is provided visually and sonically, computers displayed the 3D image of the vessel with the best 3D Pathway, stairs, ladders, hallways, and complete EXIT out of the vessel to a safe location. Also, this invention described how crews, robots, and drones were notified of where the vessel was on earth, entrance onto the vessel, and 3D Pathway safest to travel through to save people from specific compartments locations, and where fire is located. All data was 3D related geometry of vessel data. This invention teaches how to integrate 3D Geometry of any size object observed by a sensor system to capture and data concentrate 3D information for bidirectional control of a systems sensors observe.
[00084] This invention teaches applying a FLIR smart camera to determine power generation synchronization of contactless electric generators and inverters by comparing each unit’s thermal signature from a FLIR smart camera’s thermal data recording multiple generating units. The concept of multiple sources means any non-synchronization where source(s) are generating power and the other(s) reduced sinking power will result in thermal heat discrepancies on the sinking unit(s). Applying more energy to sinking unit(s) with thermal heat discrepancies, until all contactless electric generators and inverters are measured by FLIR cameras to have a synchronization of thermogram data, same temperature relative to speed of motion (rotation), concentrated by AI recording only known 3D CAD geometry localizations, not background data communicated. Many different brand-named electric generators have different copper coils and
unlimited variation in housing thickness, length, and variations in all components, so when thermal data recording of multiple generating units each generator’s speed and related temperature are required to be known in order to synchronize the speed of many different brands of generators. If a new temperature rise occurs AI documents new 3D location.
[00085] In all major physics disciplines a simulation technology predicts a products success from a stress analysis of a three-dimensional drawing database. Finite element analysis (FEA) software for structural engineering: Ansys® Mechanical is a best-in-class finite element solver with structural, thermal, acoustics, transient and nonlinear capabilities to improve engineer’s modeling. Many design analysis companies exist in addition to Ansys®.
[00086] Three-dimensional (3D) objects may have one or more small areas to sense for heat with FLIR cameras providing a new Artificial Intelligence (AI) function, in this invention, by filtering out all other FLIR camera background data and only sending data from areas needing sensing for heat or motion. First Generation stress analysis of the manufacturer or 3D scans of the sensor target can be AI’s sorting method to data concentrate bidirectionally across the CLOUD. 3D CAD Geometry of an item sensed can be a large database in the device moving and the second database of the same item can be at the user’s end across the CLOUD, so this invention teaches the identification of the components of an item’s sensors monitored is transferred across the CLOUD bidirectionally, without all the 3D CAD files, concentrating data. [00087] Battery service life and efficacy is affected by operating temperature. Efficacy is determined by comparing the service life achieved by the battery as a percentage of its service life achieved at 20 °C versus temperature. Ohmic load and operating temperature often jointly determine a battery's discharge rate. Moreover, if the expected operating temperature for a primary battery deviates from the typical 10 °C to 25 °C range, then operating temperature "will often have an influence on the type of battery selected for the application". Energy reclamation from partially depleted lithium sulfur dioxide battery has been shown to improve when "appropriately increasing the battery operating temperature". FLIR smart camera for automotive applications which can monitor battery banks and electric wheel motors for efficiency or abnormal operation providing early alerting of maintenance or alarms. Data is concentrated by AI filtering background smart camera data not related to components estimated to need sensor data measured and recorded. In prior art, batteries each had a temperature sensor installed but this invention teaches one sensor can identify each battery through 3D CAD geometry data in Machine Learning and then AI manages the different batteries, like charging and recharging different batteries in a battery bank (set of batteries).
[00088] Relative to the term “stress analysis” it should be understood that the strains, and deflections of structures are of equal importance and this invention teaches sensors collecting data from actual product operation with an AI analysis of a structure for future re-Generation (update) of replacement parts begins with the calculation of deflections or strains, vibrations, temperatures, locations, etc... and then end with calculation of the measured stresses with real sensor data to optimize original lst-Generation parts from original manufacturing sources. [00089] A first product Generated from a factory (lst-Generated) with a stress analysis provides a 3D Computer Aided Design (CAD) database file with locations of product’s high stress, thermal, fluid dynamics, and any other finite element analysis of the “physics” of a products function providing AI where sensor measurements during operation need to collect data from, so high stress components can be replaced by 3D Printed parts of an apparatus' system, optimizing updated re-Generation components from AI sensor concentrated data recorded during operation. Material changes, thickness, clearance, fasteners, size, and heat sinks, etc... can be added by new 3D part replacements re-Generated. Over time, this invention teaches how to improve products by many senor data records relative to 3D CAD geometry identifying component parts requiring improvements in re-Generated parts for improving long term operations.
[00090] This invention teaches how to solve complex structural engineering problems providing AI concentrated data in bidirectional exchange from sensors to database and back making optimized design decisions during product operation. Finite element analysis (FEA), in all dimensions of physics, provides automated AI solutions for your structural mechanics problems measured by sensors in product applications and parameterize them to analyze multiple design scenarios. “Sensors” provide the specialized parameters that determines by AI how to improve components and systems for increased efficiency, longevity, and any other phenomenon. A dynamic mechanical checkmark tool, a quantity or number on which some other quantity or number depends, is adjusted for when re-Generation 3D Printed parts are manufactured as upgrades.
[00091] Mechanical stress FEA offers a dynamic environment with a complete range of analysis tools, from preparing geometry for analysis to connecting additional physics for even greater fidelity. The intuitive and customizable user interface enables engineers of all levels to get answers fast and with confidence. Advanced materials modeling of CAD connected AI analysis, sensors provide long term: vibration, acoustics, linear and nonlinear contact, crack and fracture modeling, structural optimization, etc... for fatigue life analysis coupled with field
sensor technology, automated meshing adaptivity (NLAD), and then an explicit analysis provides optimization.
[00092] Stress-strain analysis (or stress analysis) is an engineering discipline that uses many methods to determine the stresses and strains in materials and structures subjected to forces. In continuum mechanics, stress is a physical quantity that expresses the internal forces that neighboring particles of a continuous material exert on each other, while strain is the measure of the deformation of the material. As sensors improve and can read individual atoms and particles at a nanoscale (quantum) a new computer methodology is taught in this invention for all computer functions.
[00093] In simple terms we can define stress as the force of resistance per unit per unit area, offered by a body against deformation. Stress is the ratio of force over area (S =F/A, where S is stress, F is the external force or load, and A is the cross-sectional area). Strain is the ratio of change in length to the original length, when a given body is subjected to some external force (Strain= change in length÷the original length).
[00094] Stress analysis is a primary task for civil, mechanical, and aerospace engineers involved in the design of structures of all sizes, such as tunnels, bridges and dams, aircraft and rocket bodies, mechanical parts, and even plastic cutlery and staples. In prior art, stress analysis is also used in the maintenance of such structures, and to investigate the causes of structural failures. This invention teaches a data concentrator sensor system bidirectionally sending data over the CLOUD to control and improve operation and upgrade of systems with 3D CAD geometry component identification on all sides of the CLOUD provides optimization of everything.
[00095] Typically, in 3D CAD Geometry, the starting point for stress analysis are a geometrical description of the structure, the properties of the materials used for its parts, how the parts are joined, and the maximum or typical forces that are expected to be applied to the structure. The output data is typically a quantitative description of how the applied forces spread throughout the structure, resulting in stresses, strains and the deflections of the entire structure and each component of that structure. The analysis may consider forces that vary with time, such as engine vibrations or the load of moving vehicles. In that case, the stresses and deformations will also be functions of time and space.
[00096] In engineering, stress analysis is often a tool rather than a goal in itself; the ultimate goal being the design of structures and artifacts that can withstand a specified load, using the minimum amount of material or that satisfies some other optimality criterion.
[00097] Stress analysis may be performed through classical mathematical techniques, analytic mathematical modelling or computational simulation, experimental testing, or a combination of methods through MI and AI of the operation of systems with component parts. [00098] FIG 1 illustrates a schematic diagram 10 that is a representation of the elements of a system using abstract graphic symbols rather than realistic pictures where multiple segments (sensors set 9 and displays 7 and 8) can be supported with network bridges 3 providing unlimited Environmental Safety Sensors 9 linked to the Cloud 1. Personal Computer (PC) to the Cloud 2 is connected to NMEA 2000 gateway 3 to NMEA 2000 backbone circuit 4 connection 4a (of 4b,
4c, 4d, and 4e). NMEA 2000 bridge 5 connects 2nd-NMEA 2000 Backbone 6 connections 6d (of 6a, 6b, 6c, and 6e) that integrates both sets of Multiple Compartmental Environmental Safety Sensors 9 through connections 6a and 6c that are monitoring multiple compartments of 9, and 2- Multi -Functional Displays (MFD) 7 and 8 (any quantity), again both connected to 2nd-NMEA 2000 Backbone 6 through connections 6e and 6f, which is connected to 6d back out to NMEA 2000 bridge 5, then connected 4d out through NMEA 2000 backbone circuit 4 to the PC to Cloud 2, and finally to Azure Cloud BI (including Microsoft Azure) 1, which is a universal link to the Internet of Things Cloud. Azure Cloud BI 1 can be replaced with a “secure” isolated Cloud for Military or private commercial domains. The compartment sensor that uses state of the art integrated circuit sensors can capture data on the following items, or more, relative to (5.):
1. Fire and smoke detection using visible and Infrared light (IR) sensors.
2. Hydrocarbon content of air and other noxious gases, such as diesel, propane, carbon monoxide, carbon dioxide (CO2) levels.
3 Oxygen level monitoring for safe entry into a compartment.
4 Water level intrusion detection using laser distance measuring, which is accurate down to a tolerance of 0.5 mm (millimeters) to access deep of water.
5 Updates can be added relative to future specialization requests from users. Downstream software only utilizes data it can understand and ignore future additional data.
[00099] FIG 1 has unused connections 4b, 4c, and 6b or more, for optional functions of integrated sensor circuits: control of a battery to provide immediate download of data during an energy outage (including timed battery use turned on for an update relative to signals from rescue crews arriving to upgrade compartment status), local blue tooth, 5G, personal cell phone link for biological data from wearable sensors on humans, and future updates. All connection lines are
bidirectional in FIGS 1, 2, 3, 4, and 5 and may be replaced with WiFi, Bluetooth, Laser light, radio wave, or any non-wire.
[000100] FIG 2 illustrates a graph in a chart diagram of Compartment Environmental Safety Sensor Block Diagram 20 listing some sensors: Ambient Light 21, UV Light 22, Temperature Humidity 23, Smoke Detector Oxygen Level 24, Human Presence 25, Laser Distance 26, 9-axis Accelerometer 27, and VOC Gas Sensor 28. In addition, a listing of data input and output means relative to interfacing technology types connected between the sensors in compartments: Analog Inputs 29, Digital Inputs 30, Digital Outputs 31, andNMEA 2000 Interface/CPU 33. New sensors and new communication devices can be updated in the future and still be under the scope of this new invention.
[000101] FIG 3 illustrates a schematic diagram 34 representing the elements of a system using abstract graphic symbols rather than realistic pictures of Compartmental Environmental Safety Sensor Application 40 provided sensor’s digital input and digital output to integrate data to FIGS 1 and 2 circuits, gateway, bridges, backbones, CPU’s, software, and multiple sensors. [000102] In FIG 3 a sensor system 34 is combining a Compartment Environment Safety Sensor Application 40 reading Compartment Environmental Safety Sensor 41, which is a group of sensors providing a group of databases for: digital input for door switch 35, ambient light 36, ultraviolet light 37, Infrared light 37, smoke 38, human presence 39, temperature, humidity, pressure 42, VOC air quality 43, digital output 44 to external alarm 45, and a laser distance detection 46 to measure water level on floor 47.
[000103] Any number of sensors are physically connected to a bus segment circuit:
1. Compartments with insufficient oxygen can be detected before entry.
2. Explosive gas concentrations can be detected.
3. Human presence detection even with no motion such as lying on the floor, eliminates need to search empty cabins in an emergency.
4. Ambient light for power savings and safety lights.
5. UV levels for sterilization of compartments by robot UVC light.
6. HVAC temperature and humidity.
7. 9-axis accelerometers for vessel motion, orientation, tilt, yaw, and heave predicts vessel stability such as ice buildup on vessels in artic seas, as well as capsize, vessel loading, sea state, and gyroscopic stabilizers.
8. Digital switch inputs and output are also present for intrusion detection, high water level float input, annunciator output, emergency lighting etc.
9 Analog inputs are also provided for existing fluid levels, with other sensors.
10. Pressure level reporting for barometric or pressurized vessel areas.
11. Self-powered from NMEA 2000 12V or 24V supplies.
12. One connection for communication and power optimizing battery on or off.
13 Sensors and circuits can be mounted on a ceiling.
14 Etc.
[000104] FIG 4 illustrates a schematic diagram of Data / Control flow using IoT (Internet of Things) provided sensor digital input and digital output to integrate data to FIGS 1, 2, 3, 4, and 5 circuits, bridges, concentrators, gateways, CPU’s, software, and multiple sensors. Sensor actuators are provided data concentrators 50 through 63 with all links 64 to gateway 69 with many customers linked to Azure Cloud 70. Role of Decrypter/Sorter 65 provides the functions of decoding, sorting, and directing data to BLOB (e.g., Microsoft's Azure BLOB data storage is an object storage solution for the Cloud storing massive amounts of unstructured data) long term data storage system 71 or IoT WEB 66 that sorts and directs data to Artificial Intelligence 67 or Business Intelligence 68 and then to human User Power BI and AI data Viewing for human observation and control from computer 73, laptop 74, and/or smartphone 75 or any other option. User Power BI and AI data Viewing and control devices computer 73, laptop display 74, and/or smartphone 75 can link all the way back to data concentrators 50 through 63 with links 64 to gateway 69. Data 72 is encrypted sent directly from host computer as a separate file from Alarm Alert (U.S. government example references hundreds of Alarm Alerts, Titled differently) type data that is unencrypted on the Cloud server for organizations registered to access for rescue crews on a vessel, service or to provide products failing or fuels being consumed.
[000105] FIG 5 illustrates a schematic diagram of industry standard CAN bus Protocol’s Multiple Sources of Data 80. Summarized sensor data is converted into the dashboard data form e.g. of CAN bus Protocol’s Multiple Sources: Manufacturing-R5485 85, Fishing NMEA 2000 86, semitruck SAE-J1939 87, Industrial equipment- J1939 88, Vehicles J1979 89, then the dashboard data itself is sent through bidirectional links 82x to the Internet of Things (IoT) 82 Cloud in a non-graphical snapshot or dashboard data concentrated, something that Artificial Intelligence (AI) can analyze AI / BI 84, and it can compare that intelligence with what a human can see in a visual Remote Data of Display - Dashboards 83, So, these dashboards 83, e.g., Desktop 83a, Smartphone 83b, and portables or laptops 83c, can be played back using a time frame span from data stored in Data Warehouse 81 to determine which is interesting relevant to data patterns organized by AEBI 84 from data concentrators sorting 84s, Remote Data of Display
- Dashboards 83 represent IoT Cloud operators too, relative to vendor, governments, and services responding to sensor data to provide products and services.
[000106] FIG 6 is a non-graphical periodic snapshot of data defined in this invention as dashboard data, which provide a visual display to humans of data that is summarized data Screenshot transferred through the Internet of Things’ Cloud IoT hubs, this is not a pixelized screen shot. The data screen shot can be analyzed by BI and AI applications easily. These can be played back to help specific analysis functions and to verify AI data.
[000107] FIG 7 illustrates three electric generators 91, 93, and 93, driven, forced around by three Internal Combustion Engines (ICE) engines 95, 96, and 97 mounted to bottom frame 94 into a multiple generator set 90 of three electric generators assembled 90, which have to be synchronized relative to speed of rotation controlled by ICE energy input. Each of the electric generators 91, 93, and 94 have shaft 99 and outer finned heat sink casing 98 for infrared camera (or radar chip) sensor to read the temperature of all three electric generators by Machine Learning, picking the most stable infrared sensor reading location. More or less energy is adjusted in each of three engines by synchronizing the temperature of each electric generator with each other, providing all three electric generators synchronizing control managed by AI. Electric generator casing 98 can be any shape or material but the temperature is measured because copper windings are typically rotating around within generators, motors, and brakes housing providing the temperature relative to speed to control speed by synchronizing the operating temperatures for each generator relative to its speed per temperatures. Different brand name products have different temperatures documented relative to speeds, so synchronizing many generators required documentation of what temperature relates to each speed objective per brand named product. AI adjusts for moving sensors (cameras) to new observation points. [000108] It all boils down to providing safety systems to protect human life in mobility engineered apparatus moving in or on water, aerospace, and terrestrial land, anywhere.
[000109] Relative to mobility engineering of machines, the system database of vendors providing services and/or products like oil or fuel for an engine, drinking water, food supply, tools, parts required that sensors provided data on failure timeframe, including weight of materials: liquids, pressure of fuel, vibration of a failing roller bearing, and endless other sensor data collected also has localization programed in to provide mobility service and products from the locations travelled into because IoT keeps track of a vessel on the ocean, driving on terrestrial pathways, and flying anywhere with aerospace mobile systems. A location targeted to travel to on a schedule provides AI within this platform the ability to sort online websites for product,
tools, and services relative to the sensor’s AI machine learning providing what, where, and when everything is needed automatically sorting companies, governments, and individuals for keeping mobility machines operating from sensors-system in this invention linked to IoT.
[000110] Barcodes are machine-readable code in the form of numbers and a pattern of parallel lines of varying widths (Universal Product Code), printed on and identifying a product. All Barcodes are uniquely assigned to a product from a Company, and never used by others. IoT online and retailers worldwide have agreed to unique Barcodes for each product. This invention teaches Barcode scanner sensors on a weight scale physically determines when the product users are near using up a product relative to weight decreasing and need to buy a new one. AI can upload the product data to the IoT Cloud for optimized purchasing by providing suppliers moments of time items are used, even a box full of items: bulbs, nuts or bolts, or a large box filled with the same Barcoded items would provide the moment of use as weight changed in the shipping box of many Barcoded items. Theft of items can be documented when the sensor system identifies people moving near a weight change occurs of items documented by Barcode type identification. Barcoded items like drinking alcohol and prescription drugs are provided weight measurements to record how much of the items are consumed and relative to many different items combined in a drink or prescription drug sets taken per day, including persticides on farms or any items. Relative to a residential or commercial service, a scale to weigh food with a Barcode Scanner identifying the product can keep records of the use, including the history of use, relative to when to buy the food again, including options: Automatically add the product to a Smartphone or web service database, listing local retail stores, home delivery costs, volume purchase directly from the factory, including a social network record of a scheduled purchase so many users can combine a purchase to reduce costs committing to any time period. All this is related to sensors, Barcode Scanner, and scales, which AI / BI programing can determine optimized schedules for purchase, combined with others locally, nationally, or internationally. Invention teaches how a community of buyers can group to buy products directly from the factory producing the brand name items. Grouped individuals link directly to global suppliers optimizing all decisions.
[000111] Battery exchanges in local communities between Electric Vehicles is also a potential application because sensors determine the battery power level, location of the vehicle, estimated time to meet supplier charging a battery, and AI sorts the data to link users together, including autonomous vehicle and drone delivery options.
[000112] Humans can wear special clothing to sense human presents by wearing any technology that can be read by sensors to provide records of their noise added to machine noise e.g., Retr or effective microprism or glass beads material can be worn with unique patterns manufactured into the microprisms with colors, metalized backing or not, and the micro prisms can be spaced like a Barcode label to be identified from a distance. Impact-Printers (Dot Matrix) can impact the back of the microprisms to damage the retroreflection into an identifiable pattern providing a tracking system for humans or anything, which laser reflections would be reflecting off microprisms of other modified shapes to provide very specialized identification sensed at a distance. This aids in sorting out human, robotic, drone, and other autonomous machine locations and orientations. Optical shapes can be 3D Printed too for shape-sensing identification system. [000113] In prior art, designing is the act of taking the marketing information and creating the design of the product to be manufactured. This invention teaches system design optimization for long term sustainability requires a bidirectional data process to understand component parts location and their subsequent interaction with one another by providing sensors to document operations. Product development becomes AI based on combining the perspective of marketing, design, and manufacturing into a single approach to product development from sensor ML data concentrated over the CLOUD and back to the product operation site. In this invention, systems design becomes a new process of defining and developing systems to satisfy specified requirements of the user based on past product operational data from sensors over the CLOUD. [000114] Data concentrators are required to standardize hardware and software sourced from the ability to read sensors build modular systems. The increasing importance of software running on generic platforms has enhanced the discipline of Artificial Intelligence software engineering. Architectural design describes the structure, behavior and more views of that system and analysis. Logical design of a system pertains to an abstract representation of the data flows, inputs and outputs of the system. This is often conducted via modelling, using an over-abstract (and sometimes graphical) model of the actual system. In the context of systems, designs are included. Logical design includes entity -relationship diagrams (ER diagrams). Physical system designs relate to several requirements about the system decisions: how actual data input is into a system and output processes of the system, how it is verified/authenticated, how it is processed, and how it is displayed, including system control and backup or recovery.
[000115] This invention has no limit to sensor types, specifications added, physical properties measured, and including measuring any product anywhere.
[000116] The present invention has been described in relation to a preferred embodiment and several alternative preferred embodiments. One of ordinary skill, after reading the foregoing specification, may be able to affect various other changes, alterations, and substitutions or equivalents thereof without departing from the concepts disclosed. It is therefore intended that the scope of the Letters Patent granted hereon be limited only by the definitions contained in the appended claims and equivalents thereof.
Claims
1. A Web service offered by an electronic device to another electronic device, communicating with each other via the World Wide Web, or a server running on a host computer device, listening for requests at a particular CAN bus port over a network, serving web documents (HTML, JSON, XML, images) and in a Web service a Web technology such as HTTP is used for transferring machine-readable file formats such as XML and JSON, which consumes several Web services at different machines and compiles the content into one user interface, a CLOUD-based Customer Identity Access Management (CIAM) solution capable of supporting millions of users and billions of authentications per day is an identity service for consumer-facing applications enabled by authentication in a web application using a Web service's Active Directory (AD) Business-to-Consumer (B2C), so when Web service presents a sign-in page with a sign-up link, customers can apply social accounts (e.g., Facebook, Linkedln, Google+, Amazon, ...or more) too to manage all data with no limits, after enabling authentication in a web application by providing unique web service files into an Active Directory for Business-to-Consumer services, which would consume too much bandwidth relative to sensor data, wherein the improvement comprises: a sensor multistage data concentration; and a plurality of said sensors to data capture a process for achieving the extraction of relevant data while the related operation or transaction is occurring; and a printed circuit board to combine said plurality of sensors together into a concentrated database of said data captured; and a CAN bus protocol’s multiple sources of said sensor data is transferred from said printed circuit board by the CAN bus connection to a remote host computer; and said sensor data captured is converted into said dashboard data form by said remote host computer by Artificial Intelligence (AI) program on remote host computer that sorts and data concentrates only relevant said sensor data required relative to each said sensor; and on remote host computer a non-graphical periodic snapshot of data defined as dashboard data provides a visual display to humans of data that is summarized dashboard data snapshot of data for bidirectional exchange over said Internet of Things’ Cloud IoT hubs at a minimum bandwidth.
2. The device of claim 2, further comprising the following steps: said dashboard data can be securely transmitted to the Cloud where data is further concentrated on Cloud servers by Artificial Intelligence deleting unneeded data relative to sensor history providing lower-cost redundant data storage per machine on Cloud servers for fast access to concentrated data.
3. The device of claim 2, further comprising the following steps: Artificial Intelligence creates data from sensor anomaly Alarm Alerts sorted for separated and marked as Alarm Alerts to public domain notification to provide automated secure separation of Alarm Alert data from secure encrypted sensor data, freed to the public domain for service by unencrypting sensor data on the Cloud server by AI, products, rescue machine mobility, robots, drones, crews, and any warnings to humans of events identified after sensed, so public knows of event.
4. The device of claim 1, further comprising the following steps: Component databases are stored on both sides of the Internet of Things remote host computers and dashboards have component database that is a part or element of a larger whole, especially a part of a machines or vehicles’ shape and relative arrangement of the any parts of anything with Three-Dimensional (3D) geometry based on mathematics defining where to place sensors relative to the properties and relations of any point, line, segment, ray, angle, polygon, curve, region, plane, surfaces, solids, and higher dimensional analogs eliminating a large bandwidth of data exchange.
5. The device of claim 1, further comprising the following steps:
6. The device of claim 1, further comprising the following steps: providing the integration of hardware and software for rich data sensors and connect data concentrators together with appropriate levels of data detail to make post processing of the data a useful activity to predict failure, maintenance, safety, and other needs.
7. The device of claim 2, further comprising the following steps: process efficiency can also be analyzed and adjusted for a standard related to each sensor set.
8. The device of claim 5, further comprising the following steps: a said dashboard data snapshot can be analyzed by BI and AI applications easily to be played back to help specific analysis functions and to verify AI data.
9. The device of claim 5, further comprising the following steps: host computer dashboards, (e.g., Desktop, Smartphone, and portables or laptops), can be played back using a time frame span from data stored in Data Warehouses to determine which is interesting relevant to data patterns organized by AI/BI from data concentrators sorting data.
10. The device of claim 5, further comprising the following steps: Remote Data of Dashboard’s snapshots stored locally are transferred to IoT Cloud storage for download, relative to vendor, governments, and services responding to sensor data IoT Cloud storage to provide products and services.
11. The device of claim 1, further comprising the following steps: an apparatus for supporting a camera, comprising: a pivotal mounting configured to hold the camera; and a set of fasteners arranged to support the pivotal mounting in one location or different locations capable of being a measured location by Machine learning; and a mechanical or electrical device each has an operating temperature; and a location of said camera moved to a new location is documented and resets the angle of observation for many components with many variable temperatures identified as the same components by Machine Learning (ML) adjusting for the new observation location then background filtered by Artificial Intelligence (AI) the Artificial Intelligence database of where each camera is observing to provide a reset of maintaining the control of components, including synchronization. a new temperature variant occurs AI documents new 3D location; and a component of reliability engineering is observed by thermal sensors to control many devices with one thermal sensor observing many temperatures of many components identified by Machine Learning (ML) then background filtered by Artificial Intelligence (AI) for control of devices, adding to data concentration for bidirectional exchange of data across the IoT; and a camera apparatus according to claim 9, wherein a method of processing infrared camera sensor data, comprising the steps of: accessing at least one first database of information representative of a three- dimensional (3D) environment measured by a group of parts with one infrared camera sensor; and accessing one or more groups of parts, each of said one or more groups comprising any number of said components or systems represented in said at least one first database from a 3D geometry database defining the parts within components in a system; and automatically Machine Learning, by sorting, filtering, and then Artificial Intelligence data concentration of at least one of said infrared camera sensor data
in at least one of said one or more groups of components from information from said at least one database.
12. The method of claim 8, further comprising the following steps that are performed before steps (in Claim 21): associating one of said one or more temperatures with a component; and identifying infrared sensor group locations from said at least one first database that map to said sensor’s locations in three-dimensional geometry database; and adding said identified infrared sensor locations temperature to one of said one or more components energy performance; and controlling said component separately from other identified components.
13. The method of claim 11, further comprising sets of generators are synchronized relative to speed of rotation controlled by energy input by providing more or less energy input by adjusting each energy source to synchronize the temperature of each electric generator with many generators with a casing that infrared camera (or radar chip) sensor reads the temperature of all electric generators by Machine Learning, providing all electric generators synchronized control managed by Artificial Intelligence.
14. The method of claim 11, further comprising: a FLIR smart camera to determine power generation synchronization of contactless electric generators and inverters by comparing each unit’s thermal signature from a FLIR smart camera’s thermal data recording multiple generating units; and a concept of multiple sources means any non-synchronization where source(s) are generating power and the other(s) reduced sinking power will result in thermal heat discrepancies on the sinking unit(s); and applying more energy to sinking unit(s) with thermal heat discrepancies, until all contactless electric generators and inverters are measured by FLIR cameras to have a synchronization of thermogram data, same temperature relative to speed of motion (rotation), concentrated by AI recording only known 3D CAD geometry localizations, not background data communicated. Many different brand-named electric generators have different copper coils and unlimited variation in housing thickness, length, and variations in all components, so when thermal data recording of multiple generating units each generator’s speed and related
temperature are required to be known in order to synchronize the speed of many different brands of generators.
15. The device of claim 9 wherein said camera is replaced by a radar chip: a radar chip’s data is pixilated data when digitization converts the geometry captured of all visual captured data; and an array of said pixelated data is processed by Machine Learning (ML) to sort background images out of data by AI for sending concentrated data bidirectionally; and a range of 300 meters or more in future technology advances.
16. The device of claim 13 wherein said radar chip performs the following: a radar chip pinpoints objects, their distance, and closing velocity with contact time estimates; and a search light can automatically find and track nearby objects and keep the beam on the target.
17. The device of claim 13 wherein said radar chip performs the following: an Aid To Navigation (ATN) for vessels floating on water for mooring, locating channel marker buoys, obstacles early warning, etc.,
18. The device of claim 13 wherein said radar chip performs the following: one infrared sensor can identify each battery through 3D CAD geometry data in Machine Learning and then AI manages the different batteries, like charging and recharging different batteries in a battery bank (set of batteries).
19. The device of claim 1 wherein said sensor is a weight scale combined with a barcode reader sensor that performs the following: barcodes are machine-readable code in the form of numbers and a pattern of parallel lines of varying widths (Universal Product Code), printed on and identifying a product; and a barcode scanner’s sensors on a weight scale physically determines when the product users are near using up a product relative to weight decreasing and need to buy a new product.
20. The device of claim 19, wherein said sensor data upload the product data to the IoT Cloud for optimized purchasing by providing suppliers moments of time items are used, including a box full of items: e.g. bulbs, nuts or bolts, or a large box filled with the same Barcoded items would provide the moment of use as weight changed in the shipping box of many Barcoded items in the box.
21. The device of claim 19, wherein said sensor data uploads theft of items that can be documented when the sensor system identifies people wearing identification moving near where a weight change occurs of items documented by Barcode type identification.
22. The device of claim 19, wherein said sensor data upload Barcoded items like drinking alcohol and prescription drugs are provided weight measurements to record how much of the items are consumed and relative to many different items combined in a drink or prescription drug sets taken per day, including pesticides on farms or any items.
23. The device of claim 19, wherein said sensor data upload in the Cloud AI / BI programing can determine optimized schedules for purchase, combined with others locally, nationally, or internationally providing how a community of buyers can group to buy products directly from the factory producing the brand name items optimizing all decisions.
24. A method of processing sensor data, comprising the steps of: accessing at least one first database of information representative of a compartment environment measured by a group sensor; and accessing one or more groups, each of said one or more groups comprising any number of said sensors represented in said at least one first database from a compartment; and automatically processing at least one of said sensor data in at least one of said one or more groups that broadcast out to the Cloud with consideration of each individual compartment’s information from said at least one database.
25. The method of claim 1, further comprising the following steps that are performed before steps (in Claim 3): a) associating one of said one or more groups with a compartment; and b) identifying sensor group locations from said at least one first three-dimensional geometry database of components that map to said sensor’s locations; and c) adding said identified sensor location to one of said one or more groups.
26. The method of claim 14, further comprising the steps of: a) determining relevance rankings for said identified sensor database based on a relation of said sensor data to said normalization; and b) identifying danger to humans or vessel for said alarms physically; and c) identifying danger to humans or vessel for said Cloud connections; and d) mechanically unlock compartment doors relative to danger; and e) provide data analysis relative to the safety status of a compartment; and
f) provides a method for Environmental Safety Sensor data to be sent remotely to the Clouds and desktop applications linked to responders (emergency crews, firemen, navy crews... , or robotic or drone actions).
27. The method of claim 18, further comprising the steps of: a) mobilize autonomous vehicles, vessels, robots, drones to save human life.
Applications Claiming Priority (6)
| Application Number | Priority Date | Filing Date | Title |
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| US202063035684P | 2020-06-05 | 2020-06-05 | |
| US63/035,684 | 2020-06-05 | ||
| US202163156845P | 2021-03-04 | 2021-03-04 | |
| US63/156,845 | 2021-03-04 | ||
| US202163173308P | 2021-04-09 | 2021-04-09 | |
| US63/173,308 | 2021-04-09 |
Publications (3)
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| WO2021248143A2 true WO2021248143A2 (en) | 2021-12-09 |
| WO2021248143A3 WO2021248143A3 (en) | 2022-01-13 |
| WO2021248143A4 WO2021248143A4 (en) | 2022-03-24 |
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| PCT/US2021/036273 WO2021248143A2 (en) | 2020-06-05 | 2021-06-07 | Sensor multistage data concentration |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116156446A (en) * | 2023-02-24 | 2023-05-23 | 枫荷科技(苏州)有限公司 | Intelligent gas detection system for discrete wireless sensing private network |
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| EP1543389B1 (en) * | 2002-09-16 | 2007-04-18 | Robert Bosch Gmbh | Method and computer system for operating at least two interconnected control devices |
| US6810833B2 (en) * | 2003-01-28 | 2004-11-02 | North American Pet Products | Animal habitat and display system |
| US9713417B2 (en) * | 2009-06-18 | 2017-07-25 | Endochoice, Inc. | Image capture assembly for use in a multi-viewing elements endoscope |
| US8801613B2 (en) * | 2009-12-04 | 2014-08-12 | Masimo Corporation | Calibration for multi-stage physiological monitors |
| US20160196132A1 (en) * | 2014-07-07 | 2016-07-07 | Symphony Teleca Corporation | Remote Embedded Device Update Platform Apparatuses, Methods and Systems |
| US10142353B2 (en) * | 2015-06-05 | 2018-11-27 | Cisco Technology, Inc. | System for monitoring and managing datacenters |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116156446A (en) * | 2023-02-24 | 2023-05-23 | 枫荷科技(苏州)有限公司 | Intelligent gas detection system for discrete wireless sensing private network |
| CN116156446B (en) * | 2023-02-24 | 2024-02-23 | 枫荷科技(苏州)有限公司 | Intelligent gas detection system for discrete wireless sensing private network |
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| WO2021248143A4 (en) | 2022-03-24 |
| WO2021248143A3 (en) | 2022-01-13 |
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