WO2021220286A1 - Method for providing transport reliability, and system thereof - Google Patents
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- WO2021220286A1 WO2021220286A1 PCT/IN2020/050393 IN2020050393W WO2021220286A1 WO 2021220286 A1 WO2021220286 A1 WO 2021220286A1 IN 2020050393 W IN2020050393 W IN 2020050393W WO 2021220286 A1 WO2021220286 A1 WO 2021220286A1
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
- G06Q10/0832—Special goods or special handling procedures, e.g. handling of hazardous or fragile goods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/008—Registering or indicating the working of vehicles communicating information to a remotely located station
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0841—Registering performance data
- G07C5/085—Registering performance data using electronic data carriers
Definitions
- TITLE “METHOD FOR PROVIDING TRANSPORT RELIABILITY, AND SYSTEM
- the present disclosure relates to transport reliability. More particularly, the present disclosure relates to a method and system for monitoring vehicle and goods, and safeguard the vehicle and goods by forecasting condition of the goods and the vehicle.
- Transport reliability is defined as possibility of moving people or goods from one place to another place successfully.
- Transport service that is reliable and efficient brings value to people and cities, but slow and inconsistent transport service discourages passengers and customer services.
- the goods undergo various transportation process including change in mode of transportation, change of vehicles, change in drivers and so on, resulting in damage of the goods.
- the vehicles are damaged while carrying heavy goods and due to transport conditions such as improper road conditions, weather conditions, and so on.
- the goods are sometimes displaced or damaged during the process; or the goods reach the destination late. Insufficiency in monitoring of the vehicle and improper driving can result in instability of goods; and thus, causing lapse in safety' measure and damage to the goods. These factors result in unreliable transport.
- Tire conventional techniques monitor the goods and repackage the goods based on extent of the damage.
- existing techniques fail to monitor the vehicle and provide tire feedback to safeguard the vehicle and the goods.
- the present disclosure discloses a method for providing transport reliability.
- the method comprises of receiving, by a computing system, data related to a vehicle and goods carried by the vehicle. Further, the method comprises receiving, by the computing system, one or more parameters related to an environment around the vehicle. Furthermore, the method comprises analysing, by the computing system, an impact of the one or more parameters on the goods and the vehicle. Thereafter, the method comprises monitoring, by the computing system, a condition of the goods and the vehicle, based on the impact of the one or more parameters; and generating, by the computing system, a feedback to safeguard the goods and the vehicle, based on the monitoring of the condition of the goods and the vehicle.
- the present disclosure discloses a computing system for providing transport reliability.
- the computing system comprising a processor and a memory.
- the processor is configured to receive data related to a vehicle and goods carried by the vehicle. Further, the processor is configured to receive one or more parameters related to an environment around the vehicle. Furthermore, the processor is configured to analyse an impact of the one or more parameters on the goods and the vehicle. Thereafter, processor is configured to monitor a condition of the goods and the vehicle, based on the impact of the one or more parameters: and generate a feedback to safeguard the goods and the vehicle, based on the monitoring of the condition of the goods and the vehicle.
- Figure 1 shows an exemplary environment for providing transport reliability, in accordance with some embodiments of the present disclosure
- Figure 2 shows an internal architecture of a computing system for providing transport reliability, in accordance with some embodiments of the present disclosure
- Figure 3 shows a block diagram of working of the computing system in an environment to provide transport reliability, in accordance with some embodiments of the present disclosure
- Figure 4 show's an exemplary flowchart illustrating method steps for providing transport reliability in accordance with some embodiments of the present disclosure:
- Figure 5 A shows an exemplary ' illustration for providing transport reliability for land vehicles in accordance with some embodiments of the present disclosure
- Figure 5B and 5C show' exemplar ⁇ ' illustrations of user interface for providing transport reliability, in accordance with embodiments of the present disclosure
- Figure 5D shows exemplary illustration for providing transport reliability for air vehicles, in accordance with embodiments of the present disclosure.
- Figure 6 show's a block diagram of a general-purpose computing system for pro viding transport reliability network in accordance with embodiments of the present disclosure
- Embodiments of the present disclosure relate to providing transport reliability.
- Data related to a vehicle and goods carried by the vehicle are received by a computing system. Further, one or more parameters related to an environment around the vehicle are received. An impact of the one or more parameters on the goods and the vehicle is analysed using the one or more parameters. A condition of the goods and the vehicle is monitored based on the impact of the one or more parameters and a feedback is generated to safeguard the goods and the vehicle, based on the monitoring of the condition of the goods and the vehicle.
- Figure 1 shows an environment (100) for providing transport reliability for vehicle
- the environment (100) comprises the vehicles (101).
- the vehicle (101) maybe one of a truck, a bus, a car, or die like having road as mode of transport. Further, the vehicle (101) may be one of a cargo ship, a motor boat, a passenger ship, or the like having water as the mode of transport. Also, the vehicle (101) may be one of an airplane, an air force plane or the like having air as the mode of transport. Also, the vehicle (101) may be a train.
- the goods carried by the vehicle (101) may be furniture, livestock, food items, machinery, lab instruments, electronic items, medicines and the like. The goods carried by the vehicle (101) may also refer to people carried by the vehicle (101).
- the vehicle (101) may have one or more sensors ( 1021 , 1022, 102 n ) for collecting data related to the vehicle (101).
- the one or more sensors ( 1021 , 102 2 , ..., 102 n ) is collectively referred as one or more sensors (102).
- the one or more sensors (102) may be at least one of, a temperature sensor, a proximity sensor, an accelerometer, an infrared sensor, a pressure sensor, an ultrasonic sensor, a Global Positioning System (GPS) sensor or the like.
- GPS Global Positioning System
- the one or more sensors (102) may be installed in the vehicle (101) or mounted on the vehicle (101). in an embodiment, the one or more sensors may also be associated with the goods.
- temperature sensors may be mounted on medicine boxes to monitor temperature of the medicines, as medicines have to be maintained at specific temperature. Dangerous chemicals may catch fire, explode or leak which may cause an accident, in an embodiment, the temperature sensors may be mounted on the vehicle (101), as the climate around the vehicle ( 101) may affect the medicines.
- the one or more sensors (102) may also include the sensors present in the vehicle (101), for example, rain sensor, illumination sensor, door sensor, proximity sensor, and the like.
- the environment (100) further comprise a computing system (103).
- the computing system (103) may receive data related to the vehicle (101), the goods carried by the vehicle (101) and the environmental data from the one or more sensors (102) to monitor tire vehicle (101) and the goods.
- the computing system (103) may generate a feedback to safeguard the vehicle (101) and the goods based on the monitoring.
- One or more connected devices (104) may receive the feedback from the computing system (103).
- the connected devices (104) may refer to a person or an organization associated with the vehicle (101) and/or the goods carried by the vehicle (101).
- the connected devices (104) may be one of goods supplier, a government organization, a logistic operator, an insurance company and the like. For example, landing of an airplane may be delayed due to environmental condition.
- the connected device in the example may be an airport.
- the feedback may be given to the airport about the delay in landing of the airplane.
- the feedback may also be received by driver of the vehicle (101).
- the computing system (103) may forecast a condition or damage of the goods and the vehicle (101) based on monitoring, and pro vide the feedback to avoid further damage or to maintain certain conditions suitable for the goods and the vehicle (101).
- the feedback may he received by at least one of the connected devices (104) and the driver of the vehicle (101).
- the feedback may be, but not limited to, a visual feedback, a textual feedback, an audio feedback or a haptic feedback.
- Figure 2 illustrates internal architecture of the computing system (103) in accordance with some embodiments of the present disclosure.
- the computing system (103) may include at least one Central Processing Unit (‘ CPU” or “processor”) (203) and a memory (202) storing instructions executable by the at least one processor (203).
- the processor (203) may comprise at least one data processor for executing program components for executing user or systemgenerated requests.
- the memory (202) is communicatively coupled to the processor (203).
- the computing system (103) further comprises an Input/ Output (I/O) interface (201).
- the I/O interface (201) is coupled with the processor (203) through which an input signal or/and an output signal is communicated.
- the processor (203) is configured at least for edge computing and cloud computing.
- the computing system (103) may be implemented in the vehicle (101) and in a remote server (not shown).
- the computing system (103) implemented in the vehicle (101) may perform real-time functions and provide feedback in real-time.
- the computing system (103) implemented in a remote server may be used for analysis of the monitored data, status update of the transportation of the goods, and the like.
- data (204) may be stored within the memory (202).
- the data (204) may include, for example, vehicle data (205), goods data (206), environmental data (207), and Root Cause Analysis (RCA) data (208).
- vehicle data 205
- goods data 206
- environmental data 207
- Root Cause Analysis RCA
- the vehicle data (205) are also referred as data related to the vehicle (101).
- the vehicle data (205) may comprise at least one of a vehicle type, presence or absence of a container for holding goods, a container type for holding the goods, a specification of the vehicle, a current speed of the vehicle, and a current load of the vehicle.
- the vehicle type may be land vehicle, water vehicle and air vehicle.
- the specification of the vehicle (101) may be obtained from vehicle manufacturer or vendor of the vehicle (101).
- the goods data (206) are also referred as data related to the goods.
- the goods data (206) may comprise one or more of nature of the goods, category- of the goods, and weight and dimensions of the goods.
- the nature of the goods may refer to one of fragility of the goods, and ability of the goods to overcome stress and strain.
- the environmental data (207) are also referred as the one or more parameters related to the environment.
- the environmental data (207) may comprise at least one of a weather condition around the vehicle ( 101 ), a condition of a road, turbulence and wind in air, water current and one or more parameters relating to the mode of transport of the vehicle (101).
- the environmental data relating to the mode of the transport of the vehicle may be one or more parameters related to road transport (road bumps, weather condition at a level of a road vehicle and the like), water transport ( water current, obstacles in water and the like) and air transport ( turbulence, wind in air and the like).
- the data (204) may be obtained by the computing system (103) continuously from the one or more sensors (102).
- the data (204) may be raw data or may be pre-processed data and may be suitable for being processed by the computing system (103),
- the RCA data (208) may comprise the data stored from a first instance to be used to predict an impact at a second instance.
- the RCA data (208) may include a root cause for the condition of the goods and the vehicle at the first instance.
- the root cause for a damage of a furniture in a truck may be due to sudden speeding over a speed breaker.
- Another example can include, a shipment being toppled due to high tides in the sea.
- Another example can include, goods being displaced in an airplane due to turbulence,
- the aforementioned are only examples and do not limit the application or the scenarios where the present disclosure can be implemented. A person skilled in the art will appreciate that the present disclosure can be implemented in various scenarios which are not mentioned by way of specific examples in this disclosure.
- the first instance may refer to an event where the condition of the goods and the vehicle is monitored, and the feedback is provided to safeguard the goods and the vehicle
- the condition of the goods and the vehicle may mean a damage to the goods and the vehicle (101), a displacement in the goods and the vehicle (101), or any change in the goods and the vehicle (101) with reference to an initial condition.
- the initial condition may refer to the condition of the goods and the vehicle (101) at the source. For example, an increase in temperature in a vehicle carrying certain drugs that needs to be kept under specific temperature, may be detected as change in condition.
- a feedback may be immediately provided to authorized persons (driver of the vehicle, a manufacturer of the drag, vendor of the vehicle, etc) indicating about the increase in temperature. Suitable actions may ⁇ be taken to maintain the temperature in the vehicle.
- a cause for the increase in the temperature may be determined and tire authorized persons may be notified of such cause.
- the second instance may refer to similar instances wTierein the RCA data (208) stored at the first instance may be used to safeguard the goods and the vehicle (101).
- a first truck may be carrying glass plates.
- the first track speeding over a speed breaker on the road may create a crack in the glass plates as the glass plates are fragile in nature.
- This data may be stored as RCA data (208).
- the computing system (102) detects another speed breaker on the road using the one or more sensors (102), the feedback/ warning is provided suggesting the driver to slow down the first truck in view of the crack that was created in the previous instance.
- a second truck travelling on the same road may be carrying eggs.
- the RCA data may be used to alert the driver of the second truck, since the eggs and the glass plates are fragile in nature, and a similar damage may happen to eggs. So, the feedback may be given that there is a speed breaker, and the speed of the truck has to be reduced.
- the event where the impact of the one or more environmental parameters on the vehicle ( 101 ) or the goods are predicted or forecasted based on previous monitoring may be the second instance.
- the data monitored at one or more of previous instances may be used to predict an impact at the second instance.
- the data (204) in the memory (202) may be processed by modules (209) of the system.
- the term module refers to an Application Specific Integrated Circuit (ASIC), an electronic circuit, a Field-Programmable Gate Arrays (FPGA), Programmable System-on-Chip (PSoC), a combinational logic circuit, and/or other suitable components that provide the described functionality.
- ASIC Application Specific Integrated Circuit
- FPGA Field-Programmable Gate Arrays
- PSoC Programmable System-on-Chip
- a combinational logic circuit and/or other suitable components that provide the described functionality.
- the modules (209) may include, for example, an information gathering module (210), an impact forecast module (211), a RCA module (212), a feedback module (213) and other modules (214). It will be appreciated that such aforementioned modules (209) may be represented as a single module or a combination of different modules.
- the information gathering module (210) may receive the data (204) from tire one or more sensors (102).
- the information gathering module (210) may receive the data (204) over a wired network or a wireless network.
- the information gathering module (210) may have interfaces configured to communicate with the one or more sensors (102). The interfaces may provision the information gathering module (210) to receive the data (204) in real-time.
- the information gathering module (210) may pre-process the data (204) received from the one or more sensors (102). Pre-processing may include, but is not limited to, compressing the data, removing noises, normalizing, analog to digital conversion, changing format and the like.
- the impact forecast module (211) may be configured to receive the data (204) from the information gathering module (210) to monitor the condition of the goods and the vehicle (101).
- the impact forecast module (211) may use the one or more sensors (102) to monitor the goods and the vehicle (101).
- the impact forecast module (211) may receive a video footage of a live-stock transported in a truck.
- Monitoring the goods and the vehicle (101) comprises determining an impact of environmental data (207) on the goods and the vehicle (101).
- the impact forecast module (211) may determine how the tides in the water affects the shipment.
- the impact forecast module (211) may determine the condition of the shipment (if there is a damage, or if the shipment has displaced from its position due to high tides) . Further, the impact forecast module (211) may receive the RCA data (208) to predict an impact of the environmental data (207) on the goods and the vehicle (101). The impact forecast module (211 ) may analyse the RCA data (208) and accordingly predicts an impact of the environmental data (207) on the goods and the vehicle (101) in view of the RCA data (208). Therefore, the goods and the vehicle (101) may be safeguarded.
- the RCA module (212) may perform the RCA at the first instance.
- the RCA may include finding a root cause for the condition of the goods and the vehicle (101) at the first instance.
- the root cause for a damage of a crockery in a truck may be due to potholes on a road.
- Another example can include, a shipment being toppled due to an obstacle in the sea.
- Another example can include, goods being displaced in an airplane due to turbulence.
- the RCA may be performed by corelating the condition of the goods and the vehicle (101) with the environmental data (207) at a given time instance.
- known RCA techniques may be used to perform the RCA and is not limited to the aforementioned technique.
- the feedback module (213) may provide the feedback to the connected devices (104) and the vehicle (101) to safeguard tire goods and the vehicle (101).
- the feedback may be provided to the driver of the vehicle ( 101) or the connected devices ( 104) or both based on feedback. For example, when the goods are damaged, a feedback indicating damage of the goods may be provided to the driver as well as owner of the goods. In another example, when the air pressure in the tyre of the vehicle is reduced, then a feedback may be provided only to the driver to fill air in the tyre.
- an indicator on the vehicle (101) when an indicator on the vehicle (101) is loosened due to high speed of the vehicle (101) over a bump, then a feedback may be provided to the driver on exact localization area/side to tighten the indicator of the vehicle (101) before continuing atrip.
- An event of loosening of the indicator due to high speed of the vehicle (101) over the bump may be stored as the RCA data (2.08) for predicting the impact at the second instance.
- the feedback may also be an action performed by a control system configured in the vehicle (101).
- the feedback module (213) may activate head lamps of the vehicle (101) automatically.
- the other modules (214) may include a display unit, an alarm unit, and the like to provide the feedback.
- the display unit may display a road terrain to indicate obstacles on the road.
- the alarm unit may generate an alarm to indicate a damage or a change in condition of the vehicle or goods.
- Figure 3 shows a block diagram of working of the computing system in an environment to provide transport reliability.
- the user interface (300) presents condition of the goods and the vehicle (101).
- the condition of the goods may include, but are not limited to, a vertical shift, a lateral shift, a harness state, a goods damage factor, and the like.
- the goods may be in any of three zones, a safe zone, a warning zone or a critical zone.
- a slider bar (not shown in the figure) may he used to slide over the zones to indicate the condition of the goods.
- the condition of the vehicle may include, but are not limited to, speed of the vehicle, tilt of the vehicle, temperature inside the vehicle, fuel, tire pressure and the like.
- An indicator may he used to represent a current value of each of the condition of the vehicle.
- the indicator and the slider bar represent various conditions of the goods and the vehicle (101).
- the user interface also comprises feedback.
- the feedback may include an indication about a bump ahead on a road, indication to control speed of the vehicle (101), alternate route plans and the like.
- a condition of a vehicle may affect a condition of goods, and a feedback may be provided to take necessary actions to safeguard the conditions of the good and the vehicle (101).
- the speed of the vehicle (101) may affect the lateral shift of the goods, resulting in displacement of goods.
- the feedback may be specific in nature, for example, to reduce speed by 20 kmph.
- Figure 4 shows a flow chart illustrating a method for providing transport reliability, in accordance with some embodiments of the present disclosure.
- the method (400) may comprise one or more steps.
- the method (400) may be described in the general context of computer executable instructions.
- computer executable instructions can include routines, programs, objects, components, data structures, procedures, modules, and functions, which perform particular functions or implement particular abstract data types.
- Tire order in which the method (400) is described is not intended to be construed as a limitation, and any number of the described method blocks can be combined in any order to implement the method. Additionally, individual blocks may be deleted from the methods without departing from the scope of the subject matter described herein. Furthermore, the method can be implemented in any suitable hardware, software, firmware, or combination thereof.
- the vehicle (101) may be a truck (501).
- the vehicle data (205) may refer to the vehicle type i.e., road transport, the specification of the truck (501), the current load the tmck may be carrying, the current speed of the truck (501).
- the goods data (206) may refer to the nature of the goods i.e., fragile.
- the environmental data (207) may refer to the condition of the road, the climate around the truck (501).
- the condition of the road may be bumps on the road, traffic congestion, potholes on the road and the like.
- the impact forecast module (211 ) may analyse the impact of the environmental data (207) on the goods and the vehicle (101 ), based on the vehicle data (205), the goods data (206) and the RCA data (208).
- the impact forecast module (211) may consider various routes the truck (501) may take from source to destination.
- the impact forecast module (211) may analyse the impact of the condition of the road on the laboratory materials and the truck (501).
- the routes may be route 502, route 503 and route 504. Route 502 may be having bumps.
- the impact forecast module (211) may analyse the impact of bumps on the laboratory materials as the laboratory materials are fragile.
- step (404) monitoring the goods and the vehicle (101) by the impact forecast module (211) by determining an impact of environmental data (207) on the goods and the vehicle (101).
- the impact forecast module (211) may determine how the tides in the water affects the shipment. Further, the impact forecast module (211) may determine the condition of the shipment (if there is a damage, or if the shipment has displaced from its position due to high tides).
- the feedback module (213) may generate the feedback to safeguard the goods and the vehicle (101), based on the monitoring of the condition of the goods and the vehicle (101).
- the feedback may be provided to the dri ver or the connected devices (104).
- the feedback may be in a visual, textual, audio or a haptic form.
- the feedback may be given as a visual picture representing route recommendations.
- Route 504 may be a narrower road, which may cause difficulty in movement on truck (501).
- Route 503 may be the fastest route.
- the visual picture may show 7 the three routes and visually represent driver of the truck (501) to consider route 503, as it is the fastest and may have no bumps.
- the impact forecast module (211) may receive the RCA data (208) to predict an impact of the environmental data (207) on the goods and the vehicle (101).
- the route recommendation may be given to the driver of the track (501) based on a prediction, obtained from the RCA data (208).
- the RCA data (208) may have information about damage of the fragile goods on a road with bumps.
- the computing system (103) may provide the route recommendation to driver of the track (501) to not consider route 502,
- the vehicle (101) may be carrying the goods from source to destination.
- the user interface presents condition of the goods and the vehicle (101).
- the condition of die goods may include, but are not limited to, a vertical shift, a lateral shift, a harness state, a goods damage factor, and the like.
- the condition of die vehicle may include, but are not limited to, current speed of the vehicle, current load on the vehicle, tilt of the vehicle, temperature inside the vehicle, fuel, tire pressure and the like.
- the user interface also comprises feedback/alert.
- the alert may include an indication about a bump ahead on a road, indication to control speed of the vehicle (101), alternate route plans and the like.
- a condition of a vehicle may affect a condition of goods, and an alert may be presented to take necessary actions to safeguard the conditions of the good and the vehicle (101).
- Current speed of the vehicle may be 50kmph.
- a bump on the road may affect the vertical shift of the goods, resulting in displacement of goods.
- the user interface may present the vertical shift of the goods as critical. Since, the goods may be vertically shifted, the goods damage factor may be presented as critical.
- the alert may he an indication of the bump and to reduce speed to 30 kmph.
- the alert may be based on the RCA.
- a bus may be carrying people to a destination.
- a bump on the road may cause a jerk (or a vertical shift) to the people on rear seats of the bus.
- the RCA may store the data as a jerk caused to the people, when there is a bump ahead.
- an alert may be given to a driver of the bus as, a bump ahead and to reduce the speed of the bus.
- FIG 5C illustrating an exemplar ⁇ ' user interface for providing transport reliability.
- the vehicle (101) may be carrying medicines. The medicines must be stored at a low temperature. Temperature of the vehicle (101) may increase due to environment around the vehicle (101). A temperature sensor may he mounted on the medicine boxes. The temperature sensor may indicate goods parameter as an increase in temperature of the medicine boxes. A current value of an Air- Conditioner (A/C) of the vehicle (101) may be 28° C. A feedback may be given to a driver of the vehicle (101 ) to decrease the temperature of an Air- Conditioner (A/C) of the vehicle ( 101) to 23° C.
- A/C Air- Conditioner
- the vehicle may refer to an airplane (506).
- the specification of the vehicle (101) may be obtained from specification sheet of the airplane (506).
- the current speed may refer to the current speed of the airplane (506), for example 800 km/hr.
- the goods may include luggage
- the goods data (206) may comprise weight of the luggage (507), nature of the luggage (507) say fragile items and the like.
- the environmental data (207) may refer to the turbulence, wind speed, and wind shear.
- the turbulence, wind speed and the wind shear may be received from the one or more sensors mounted on the airplane (506).
- the one or more parameters may be received from a weather station associated with the airplane (506).
- the impact forecast module (211) may analyse the impact of wind shear on tire airspeed of the airplane (506).
- the airplane (506) may be flying through a boundary between two air masses moving in radically different directions, which is referred as the wind shear.
- Tire air speed may reduce to a minimal, thus causing the airplane (506) to fly in the air. This may cause disastrous consequences on the passengers (508) and the goods (507).
- An alert may be given to pilot of the airplane (506) by the computing system (103) about the reduction in airspeed of the airplane (506) due to the wand shear.
- the alert may be given on a display.
- the alert may be given to the connected devices (104) such as an airport about a delay in landing of tire airplane (506) that might be caused due to the wind shear.
- the feedback provided is at least one of an alert and an actuation to safeguard the vehicle and the goods. Automatic alerts may be provided.
- the passengers may be provided with the automatic alert in the form of audio, to fasten the seat belts based on position of the airplane (506).
- Brightness of airplane navigation lights may be automatically controlled based on time duration to improve visibility of the airplane (506).
- a prediction can be provided by the impact forecast module (211) for a second airplane (not shown in figure) indicating the damage occurred to the airplane (506) and the root cause of the damage. Therefore, the second airplane may take appropriate measures to avoid any disastrous consequences on tire passengers.
- a vehicle (101) may be transporting hazardous chemicals.
- the vehicle (101) may have to be continuously monitored to mitigate a risk to property and life.
- the computing system (103) may receive the goods data (206) and the vehicle data (205),
- the goods data (206) may comprise one or more properties of the chemicals, namely, a temperature and moisture conditions for storing the chemicals, sensitivity of the chemicals to heat and light, and the like.
- the vehicle data (205) may comprise specification of the vehicle (101), current speed of the vehicle (101), container type and the like.
- the computing system (103) may receive the environmental data (207).
- the environmental data may comprise climate around the vehicle (101), condition of a road, and the like.
- the computing unit (103) may analyse an impact of the environmental data (207) on the goods and the vehicle (101).
- the impact may be change in temperature of the chemicals, change in chemical composition of the chemicals, freezing of the chemicals, tilting of the vehicle (101), corrosion of the container of the vehicle (101) due to moisture and the like.
- the computing unit may monitor the condition of the goods and the vehicle (101).
- the computing unit (103) may determine the impact of the environmental data on the vehicle and the goods.
- the computing unit (103) may determine a change of pressure when the vehicle (101) speeds over a bump on the road.
- the computing unit (103) may determine a tilt of the vehicle due to bad road conditions.
- the computing unit (103) may determine freezing of the chemicals due to the climate around the vehicle (101).
- the computing unit (103) may determine a leak of the chemicals due to corrosion of the container of the vehicle (101).
- the computing unit (103) may generate a feedback to safeguard the condition of the vehicle (101) and the goods.
- the feedback may be a display indicating the hump on the road.
- the feedback may be an indication to reduce speed of the vehicle (101).
- the feedback may be provided to store the chemicals in a temperature-controlled chemical storage unit.
- the feedback provided may be to shift the chemicals to a different container.
- An information about the corrosion of the container may be obtained from an electrochemical sensor installed in the container.
- the feedback may be to deport the chemicals to a closest laboratory ' to mitigate a risk of an accident of the vehicle (101).
- the computing unit (103) may store the change of pressure when the vehicle (101) speeds over a bump on the road, tilt of the vehicle due to bad road conditions, freezing of the chemicals due to the climate around the vehicle (101), leak due to corrosion of the container of the vehicle (101) and the like as RCA data (208) to provide a prediction to a second vehicle carrying chemicals to avoid any disastrous consequences.
- FIG. 6 illustrates a block diagram of an exemplary computer system (600) for implementing embodiments consistent with the present disclosure.
- the computer system (600) is used for providing transport reliability.
- the computer system (600) may comprise a central processing unit (“CPU” or “processor”) (602).
- the processor (602) may comprise at least one data processor.
- the processor (602) may include specialized processing units such as integrated system (bus) controllers, memory management control units, floating point units, graphics processing units, digital signal processing units, etc.
- the processor (602) may be configured to receive data related to a vehicle and goods carried by the vehicle. Further, the processor (602) may be configured to receive one or more parameters related to an environment around the vehicle.
- the processor (602) may be configured to analyse an impact of the one or more parameters on the goods and the vehicle. Thereafter, the processor (602) may be configured to monitor a condition of the goods and the vehicle, based on the impact of the one or more parameters; and generate a feedback to safeguard the goods and the vehicle, based on the monitoring of the condition of the goods and the vehicle.
- the processor (602) may be equivalent to the processor (203).
- the processor (602) may be disposed in communication with one or more input/output (I/O) devices (not shown) via I/O interface (601).
- the I/O interface (601) may employ communication protocols/methods such as, without limitation, audio, analog, digital, monoaural, RCA, stereo, IEEE-1394, serial bus, universal serial bus (USB), infrared, PS/2, BNC, coaxial, component, composite, digital visual interface (DVI), high-definition multimedia interface (HDMI), RF antennas, S-Video, VGA, IEEE 802.
- n /b/g/n/x Bluetooth, cellular (e.g., code-division multiple access (CDMA), high-speed packet access (HSPA+), global system for mobile communications (GSM), long-term evolution (LTE), WiMax, or the like), etc.
- CDMA code-division multiple access
- HSPA+ high-speed packet access
- GSM global system for mobile communications
- LTE long-term evolution
- WiMax wireless wide area network
- the computer system (600) may communicate with one or more I/O devices.
- the input device (610) may be an antenna, keyboard, mouse, joystick, (infrared) remote control, camera, card reader, fax machine, dongle, biometric reader, microphone, touch screen, touchpad, trackball, stylus, scanner, storage device, transceiver, video device/source, etc.
- the output device (611 ) may be a printer, fax machine, video display (e.g., cathode ray tube (CRT), liquid crystal display (LCD), light-emitting diode (LED), plasma, Plasma display panel (PDP), Organic light-emitting diode display (QLED) or the like), audio speaker, etc.
- I/O interface (601) may be equivalent to the I/O interface (201).
- the computer system (600) is connected to the remote devices (612) through a communication network (609) .
- the remote devices (612) may provide the user reviews to the computing network (600).
- the remote devices may be sensors.
- the sensors may be a temperature sensor, a proximity sensor, an accelerometer, an infrared sensor, a pressure sensor, an ultrasonic sensor, a Global Positioning System (GPS) sensor or the like.
- the sensors may be a part of smart container of a vehicle.
- the processor (602) may be disposed in communication with the communication network (609) via a network interface (603).
- the network interface (603) may communicate with the communication network (609).
- the network interface (603) may employ connection protocols including, without limitation, direct connect, Ethernet (e.g, twisted pair 10/100/1000 Base T), transmission control protocol/intemet protocol (TCP/IP), token ring, IEEE 802.11a/b/g/n/x, etc.
- the communication network (609) may include, without limitation, a direct interconnection, local area network (LAN), wide area network (WAN), wireless network (e.g., using Wireless Application Protocol), the Internet, etc.
- LAN local area network
- WAN wide area network
- wireless network e.g., using Wireless Application Protocol
- the network interface (603) may employ connection protocols include, but not limited to, direct connect, Ethernet (e.g., twisted pair 10/ 100/ 1000 Base T), transmission control protocol/intemet protocol (TCP/IP), token ring, IEEE 802.Ha/b/g/n/x, etc.
- the communication network (609) includes, but is not limited to, a direct interconnection, an e-commerce network, a peer to peer (P2P) network, local area network (LAN), wide area network (WAN), wireless network (e.g., using Wireless Application Protocol), the Internet, Wi-Fi and such.
- the first network and the second network may either be a dedicated network or a shared network, which represents an association of the different types of networks that use a variety of protocols, for example, Hypertext Transfer Protocol (HTTP), Transmission Control Protocol/intemet Protocol (TCP/IP), Wireless Application Protocol (WAP), etc, to communicate with each other.
- the first network and the second network may include a variety of network devices, including routers, bridges, servers, computing devices, storage devices, etc.
- the processor (602) may be disposed in communication with a memory (605) (e.g, RAM, ROM, etc, not shown in figure 6) via a storage interface (604).
- the storage interface (604) may connect to memory (605) including, without limitation, memory drives, removable disc drives, etc, employing connection protocols such as serial advanced technology atachment (SATA), Integrated Drive Electronics (IDE), IEEE- 1394, Universal Serial Bus (USB), fiber channel, Small Computer Systems Interface (SCSI), etc.
- the memory drives may further include a drum, magnetic disc drive, magneto-optical drive, optical drive, Redundant Array of Independent Discs (RAID), solid-state memory devices, solid-state dri ves, etc.
- the memory (605) may store a collection of program or database components, including, without limitation, user interface (606), an operating system (607), web server (608) etc.
- computer system (600) may store user/application data, such as, the data, variables, records, etc., as described in this disclosure.
- databases may be implemented as fault-tolerant, relational, scalable, secure databases such as Oracle ® or Sybase®.
- the memory (605) may store the vehicle data (205), the goods data (206), the environmental data (207), and the RCA data (208).
- the data (204) in the memory (605) may he processed by modules (209) of the system, for example, an information gathering module (210), an impact forecast module (211), a RCA module (212), a feedback module (213) and other modules (214).
- the user interface (606) may present the condition of the goods and the vehicle (101).
- the user interface (606) may also comprise feedback to take necessary actions to safeguard the conditions of the good and the vehicle (101).
- the different modules of Figure 2 may be realised by the processor (602) of Figure 6
- the operating system (607) may facilitate resource management and operation of the computer system (600).
- Examples of operating systems include, without limitation, APPLE MACINTOSH* OS X, UNIX*, UNIX-like system distributions (E.G., BERKELEY SOFTWARE DISTRIBUTIONTM (BSD), FREEBSDTM, NETBSDTM, OPENBSDTM, etc.), LINUX DISTRIBUTIONSTM (E.G., RED HATTM, UBUNTUTM, KUBUNTUTM, etc.), IBMTM OS/2, MICROSOFTTM WINDOWSTM (XPTM, VISTATM/7/8, 10 etc,), APPLE* IOSTM, GOOGLE* ANDROIDTM, BLACKBERRY* OS, or the like,
- the computer system (600) may implement a web browser (608) stored program component.
- the web browser (608) may be a hypertext viewing application, for example MICROSOFT* INTERNET EXPLORERTM, GOOGLE* CHROMETM 0 , MOZILLA* FIREFOXTM, APPLE* SAFARITM, etc. Secure web browsing may be provided using Secure Hypertext Transport Protocol (HTTPS), Secure Sockets Layer (SSL), Transport Layer Security (TLS), etc.
- Web browsers (608) may utilize facilities such as AJAX TM , DHTMLTM, ADOBE R FLASHTM, JAVASCRIPTTM, JAVATM, Application Programming Interfaces (APIs), etc.
- the computer system (600) may implement a mail server stored program component.
- the mail server may be an Internet mail server such as Microsoft Exchange, or the like.
- the mail server may utilize facilities such as ASPTM, ACTIVEXTM, ANSITM C++/CA MICROSOFT'S .NETTM, CGI SCRIPTSTM, JAVATM, JAVASCRIPTTM, PERLTM, PHPTM, PYTHONTM, WEBOBJECTSTM, etc.
- the mail server may utilize communication protocols such as Internet Message Access Protocol (IMAP), Messaging Application Programming Interface (MAPI), MICROSOFT 11 exchange, Post Office Protocol (POP), Simple Mail Transfer Protocol (SMTP), or the like.
- IMAP Internet Message Access Protocol
- MAPI Messaging Application Programming Interface
- MICROSOFT 11 exchange Post Office Protocol (POP), Simple Mail Transfer Protocol (SMTP), or the like.
- POP Post Office Protocol
- SMTP Simple Mail Transfer Protocol
- the computer system (600) may implement a mail client stored program component.
- the mail client may be a mail viewing application, such as APPLE R MAIL TM , MICROSOFT R ENTOURAGETM, MICROSOFT R OUTLOOK TM MOZILLA TM THUNDERBIRDTM, etc.
- a computer-readable storage medium refers to any type of physical memory on which information or data readable by a processor may be stored.
- a computer-readable storage medium may store instructions for execution by one or more processors, including instructions for causing the processor(s) to perform steps or stages consistent with the embodiments described herein .
- the term “computer-readable medium” should be understood to include tangible items and exclude carrier waves and transient signals, i.e., be non-transitory. Examples include Random Access Memory' (RAM), Read-Only Memory (ROM), volatile memory', non-volatile memory', hard drives, CD ROMs, DVDs, flash drives, disks, and any other known physical storage media,
- FIG. 3 shows certain events occurring in a certain order. In alternative embodiments, certain operations may be performed in a different order, modified or removed. Moreover, steps may be added to the above described logic and still conform to the described embodiments. Further, operations described herein may occur sequentially or certain operations may be processed in parallel. Yet further, operations may be performed by a single processing unit or by distributed processing units.
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Abstract
The present disclosure relates to a method for providing transport reliability. Data (205, 206) related to a vehicle (101) and goods carried by the vehicle (101) is received. One or more parameters related to an environment around the vehicle (101) is received. An impact of the one or more parameters on the goods and the vehicle (101) is analysed. A condition of the goods and the vehicle (101) is monitored, based on the impact of the one or more parameters. A feedback is generated to safeguard the goods and the vehicle (101), based on the monitoring of the condition of the goods and the vehicle (101).
Description
TITLE: “METHOD FOR PROVIDING TRANSPORT RELIABILITY, AND SYSTEM
THEREOF”
TECHNICAL FIELD
[001] The present disclosure relates to transport reliability. More particularly, the present disclosure relates to a method and system for monitoring vehicle and goods, and safeguard the vehicle and goods by forecasting condition of the goods and the vehicle.
BACKGROUND
[002] Transport reliability is defined as possibility of moving people or goods from one place to another place successfully. Transport service that is reliable and efficient brings value to people and cities, but slow and inconsistent transport service discourages passengers and customer services. Typically, the goods undergo various transportation process including change in mode of transportation, change of vehicles, change in drivers and so on, resulting in damage of the goods. Also, the vehicles are damaged while carrying heavy goods and due to transport conditions such as improper road conditions, weather conditions, and so on. The goods are sometimes displaced or damaged during the process; or the goods reach the destination late. Insufficiency in monitoring of the vehicle and improper driving can result in instability of goods; and thus, causing lapse in safety' measure and damage to the goods. These factors result in unreliable transport.
[003] Tire conventional techniques monitor the goods and repackage the goods based on extent of the damage. However, existing techniques fail to monitor the vehicle and provide tire feedback to safeguard the vehicle and the goods.
[004] The information disclosed in this background of the disclosure section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
SUMMARY
[005] In an embodiment, the present disclosure discloses a method for providing transport reliability. The method comprises of receiving, by a computing system, data related to a vehicle and goods carried by the vehicle. Further, the method comprises receiving, by the computing system, one or more parameters related to an environment around the vehicle. Furthermore, the
method comprises analysing, by the computing system, an impact of the one or more parameters on the goods and the vehicle. Thereafter, the method comprises monitoring, by the computing system, a condition of the goods and the vehicle, based on the impact of the one or more parameters; and generating, by the computing system, a feedback to safeguard the goods and the vehicle, based on the monitoring of the condition of the goods and the vehicle.
[006] In an embodiment, the present disclosure discloses a computing system for providing transport reliability. The computing system comprising a processor and a memory. The processor is configured to receive data related to a vehicle and goods carried by the vehicle. Further, the processor is configured to receive one or more parameters related to an environment around the vehicle. Furthermore, the processor is configured to analyse an impact of the one or more parameters on the goods and the vehicle. Thereafter, processor is configured to monitor a condition of the goods and the vehicle, based on the impact of the one or more parameters: and generate a feedback to safeguard the goods and the vehicle, based on the monitoring of the condition of the goods and the vehicle.
[007] The foregoing summary is illustrative only and is not intended to be in any way limiting, in addition to the illustrative aspects, embodiments, and features described above, further aspects, embodiments, and features will become apparent by reference to the drawings and the following detailed description.
BRIEF DESCRIPTION OF THE ACCOMPANYING DRAWINGS [008] The novel features and characteristic of the disclosure are set forth in the appended claims. The disclosure itself, however, as well as a preferred mode of use, further objectives and advantages thereof, will best be understood by reference to the following detailed description of an illustrative embodiment when read in conjunction with the accompanying figures. One or more embodiments are now described, by way of example only, with reference to the accompanying figures wherein like reference numerals represent like elements and in winch:
[009] Figure 1 shows an exemplary environment for providing transport reliability, in accordance with some embodiments of the present disclosure;
[0010] Figure 2 shows an internal architecture of a computing system for providing transport reliability, in accordance with some embodiments of the present disclosure;
[0011] Figure 3 shows a block diagram of working of the computing system in an environment to provide transport reliability, in accordance with some embodiments of the present disclosure;
[0012] Figure 4 show's an exemplary flowchart illustrating method steps for providing transport reliability in accordance with some embodiments of the present disclosure:
[0013] Figure 5 A shows an exemplary' illustration for providing transport reliability for land vehicles in accordance with some embodiments of the present disclosure;
[0014] Figure 5B and 5C show' exemplar}' illustrations of user interface for providing transport reliability, in accordance with embodiments of the present disclosure;
[0015] Figure 5D shows exemplary illustration for providing transport reliability for air vehicles, in accordance with embodiments of the present disclosure; and
[0016] Figure 6 show's a block diagram of a general-purpose computing system for pro viding transport reliability network in accordance with embodiments of the present disclosure;
[0017] It should be appreciated by those skilled in the art that any block diagrams herein represent conceptual views of illustrative systems embodying the principles of the present subject matter. Similarly, it will be appreciated that any flow charts, flow diagrams, state transition diagrams, pseudo code, and the like represent various processes which may be substantially represented in computer readable medium and executed by a computer or processor, whether or not such computer or processor is explicitly shown.
DETAILED DESCRIPTION
[0018] In the present document, the w'ord "exemplary" is used herein to mean "serving as an example, instance, or illustration." Any embodiment or implementation of the present subject matter described herein as "exemplar}'" is not necessarily to be construed as preferred or advantageous over other embodiments.
[0019] While the disclosure is susceptible to various modifications and alternative forms, specific embodiment thereof has been shown by way of example in the drawings and will be described in detail below. It should be understood, however that it is not intended to limit the
disclosure to the particular forms disclosed, but on the contrary, the disclosure is to cover all modifications, equivalents, and alternative falling within the scope of the disclosure.
[002Q] The terms “comprises”, ‘'comprising”, or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a setup, device or method that comprises a list of components or steps does not include only those components or steps but may include other components or steps not expressly listed or inherent to such setup or device or method. In other words, one or more elements in a system or apparatus proceeded by “comprises... a” does not, without more constraints, preclude the existence of other elements or additional elements in the system or apparatus.
[0021] Existing systems assess goods in transit for damage based on monitoring the goods. Ho wever, the existing systems do not consider impact of environmental parameters around the vehicle on the goods and the vehicle. Such environmental parameters may cause damage to the goods and the vehicle. Therefore, the goods are often damaged and the also the goods are not timely delivered due to damages to the vehicle.
[0022] Embodiments of the present disclosure relate to providing transport reliability. Data related to a vehicle and goods carried by the vehicle are received by a computing system. Further, one or more parameters related to an environment around the vehicle are received. An impact of the one or more parameters on the goods and the vehicle is analysed using the one or more parameters. A condition of the goods and the vehicle is monitored based on the impact of the one or more parameters and a feedback is generated to safeguard the goods and the vehicle, based on the monitoring of the condition of the goods and the vehicle. [0023] Figure 1 shows an environment (100) for providing transport reliability for vehicle
(101) and goods (not shown in figure) carried by the vehicle (101). As shown the environment (100) comprises the vehicles (101). The vehicle (101) maybe one of a truck, a bus, a car, or die like having road as mode of transport. Further, the vehicle (101) may be one of a cargo ship, a motor boat, a passenger ship, or the like having water as the mode of transport. Also, the vehicle (101) may be one of an airplane, an air force plane or the like having air as the mode of transport. Also, the vehicle (101) may be a train. The goods carried by the vehicle (101) may be furniture, livestock, food items, machinery, lab instruments, electronic items, medicines and the like. The goods carried by the vehicle (101) may also refer to people carried by the
vehicle (101). The vehicle (101) may have one or more sensors ( 1021 , 1022, 102n) for collecting data related to the vehicle (101). in an embodiment, the one or more sensors ( 1021 , 1022, ..., 102n) is collectively referred as one or more sensors (102). The one or more sensors (102) may be at least one of, a temperature sensor, a proximity sensor, an accelerometer, an infrared sensor, a pressure sensor, an ultrasonic sensor, a Global Positioning System (GPS) sensor or the like. In an embodiment, the one or more sensors (102) may be installed in the vehicle (101) or mounted on the vehicle (101). in an embodiment, the one or more sensors may also be associated with the goods. For example, temperature sensors may be mounted on medicine boxes to monitor temperature of the medicines, as medicines have to be maintained at specific temperature. Dangerous chemicals may catch fire, explode or leak which may cause an accident, in an embodiment, the temperature sensors may be mounted on the vehicle (101), as the climate around the vehicle ( 101) may affect the medicines. In some embodiment, the one or more sensors (102) may also include the sensors present in the vehicle (101), for example, rain sensor, illumination sensor, door sensor, proximity sensor, and the like. The environment (100) further comprise a computing system (103). The computing system (103) may receive data related to the vehicle (101), the goods carried by the vehicle (101) and the environmental data from the one or more sensors (102) to monitor tire vehicle (101) and the goods. Further, the computing system (103) may generate a feedback to safeguard the vehicle (101) and the goods based on the monitoring. One or more connected devices (104) may receive the feedback from the computing system (103). The connected devices (104) may refer to a person or an organization associated with the vehicle (101) and/or the goods carried by the vehicle (101). The connected devices (104) may be one of goods supplier, a government organization, a logistic operator, an insurance company and the like. For example, landing of an airplane may be delayed due to environmental condition. The connected device in the example may be an airport. The feedback may be given to the airport about the delay in landing of the airplane. The feedback may also be received by driver of the vehicle (101). In an embodiment, the computing system (103) may forecast a condition or damage of the goods and the vehicle (101) based on monitoring, and pro vide the feedback to avoid further damage or to maintain certain conditions suitable for the goods and the vehicle (101). The feedback may he received by at least one of the connected devices (104) and the driver of the vehicle (101). The feedback may be, but not limited to, a visual feedback, a textual feedback, an audio feedback or a haptic feedback. A person of ordinary' skill should appreciate that other types of feedback also come under the scope of the present disclosure and are not limited to aforementioned types of feedback.
[0024] Figure 2 illustrates internal architecture of the computing system (103) in accordance with some embodiments of the present disclosure. The computing system (103) may include at least one Central Processing Unit (‘ CPU” or “processor”) (203) and a memory (202) storing instructions executable by the at least one processor (203). The processor (203) may comprise at least one data processor for executing program components for executing user or systemgenerated requests. The memory (202) is communicatively coupled to the processor (203). The computing system (103) further comprises an Input/ Output (I/O) interface (201). The I/O interface (201) is coupled with the processor (203) through which an input signal or/and an output signal is communicated. The processor (203) is configured at least for edge computing and cloud computing. For example, the computing system (103) may be implemented in the vehicle (101) and in a remote server (not shown). The computing system (103) implemented in the vehicle (101) may perform real-time functions and provide feedback in real-time. The computing system (103) implemented in a remote server may be used for analysis of the monitored data, status update of the transportation of the goods, and the like.
[0025] In an embodiment, data (204) may be stored within the memory (202). The data (204) may include, for example, vehicle data (205), goods data (206), environmental data (207), and Root Cause Analysis (RCA) data (208).
[0026] In an embodiment, the vehicle data (205) are also referred as data related to the vehicle (101). The vehicle data (205) may comprise at least one of a vehicle type, presence or absence of a container for holding goods, a container type for holding the goods, a specification of the vehicle, a current speed of the vehicle, and a current load of the vehicle. The vehicle type may be land vehicle, water vehicle and air vehicle. The specification of the vehicle (101) may be obtained from vehicle manufacturer or vendor of the vehicle (101).
[0027] In an embodiment, the goods data (206) are also referred as data related to the goods. The goods data (206) may comprise one or more of nature of the goods, category- of the goods, and weight and dimensions of the goods. The nature of the goods may refer to one of fragility of the goods, and ability of the goods to overcome stress and strain.
[QQ28] In an embodiment, the environmental data (207) are also referred as the one or more parameters related to the environment. The environmental data (207) may comprise at least one of a weather condition around the vehicle ( 101 ), a condition of a road, turbulence and wind
in air, water current and one or more parameters relating to the mode of transport of the vehicle (101). The environmental data relating to the mode of the transport of the vehicle may be one or more parameters related to road transport (road bumps, weather condition at a level of a road vehicle and the like), water transport ( water current, obstacles in water and the like) and air transport ( turbulence, wind in air and the like).
[0029] The data (204) may be obtained by the computing system (103) continuously from the one or more sensors (102). The data (204) may be raw data or may be pre-processed data and may be suitable for being processed by the computing system (103),
[0030] In an embodiment, the RCA data (208) may comprise the data stored from a first instance to be used to predict an impact at a second instance. The RCA data (208) may include a root cause for the condition of the goods and the vehicle at the first instance. For example, the root cause for a damage of a furniture in a truck may be due to sudden speeding over a speed breaker. Another example can include, a shipment being toppled due to high tides in the sea. Another example can include, goods being displaced in an airplane due to turbulence, The aforementioned are only examples and do not limit the application or the scenarios where the present disclosure can be implemented. A person skilled in the art will appreciate that the present disclosure can be implemented in various scenarios which are not mentioned by way of specific examples in this disclosure. The first instance may refer to an event where the condition of the goods and the vehicle is monitored, and the feedback is provided to safeguard the goods and the vehicle The condition of the goods and the vehicle may mean a damage to the goods and the vehicle (101), a displacement in the goods and the vehicle (101), or any change in the goods and the vehicle (101) with reference to an initial condition. The initial condition may refer to the condition of the goods and the vehicle (101) at the source. For example, an increase in temperature in a vehicle carrying certain drugs that needs to be kept under specific temperature, may be detected as change in condition. A feedback may be immediately provided to authorized persons (driver of the vehicle, a manufacturer of the drag, vendor of the vehicle, etc) indicating about the increase in temperature. Suitable actions may¬ be taken to maintain the temperature in the vehicle. In some embodiments, a cause for the increase in the temperature may be determined and tire authorized persons may be notified of such cause. The second instance may refer to similar instances wTierein the RCA data (208) stored at the first instance may be used to safeguard the goods and the vehicle (101). For example, m an event, a first truck may be carrying glass plates. The first track speeding over a
speed breaker on the road may create a crack in the glass plates as the glass plates are fragile in nature. This data may be stored as RCA data (208). When the computing system (102) detects another speed breaker on the road using the one or more sensors (102), the feedback/ warning is provided suggesting the driver to slow down the first truck in view of the crack that was created in the previous instance. In another event, a second truck travelling on the same road may be carrying eggs. The RCA data may be used to alert the driver of the second truck, since the eggs and the glass plates are fragile in nature, and a similar damage may happen to eggs. So, the feedback may be given that there is a speed breaker, and the speed of the truck has to be reduced. The event where the impact of the one or more environmental parameters on the vehicle ( 101 ) or the goods are predicted or forecasted based on previous monitoring may be the second instance. Hence, the data monitored at one or more of previous instances may be used to predict an impact at the second instance.
[0031] In an embodiment, the data (204) in the memory (202) may be processed by modules (209) of the system. As used herein, the term module refers to an Application Specific Integrated Circuit (ASIC), an electronic circuit, a Field-Programmable Gate Arrays (FPGA), Programmable System-on-Chip (PSoC), a combinational logic circuit, and/or other suitable components that provide the described functionality. The modules (209) when configured with the functionality' defined in the present disclosure will result in a novel hardware.
[0032] In one implementation, the modules (209) may include, for example, an information gathering module (210), an impact forecast module (211), a RCA module (212), a feedback module (213) and other modules (214). It will be appreciated that such aforementioned modules (209) may be represented as a single module or a combination of different modules.
[0033] In an embodiment, the information gathering module (210) may receive the data (204) from tire one or more sensors (102). The information gathering module (210) may receive the data (204) over a wired network or a wireless network. The information gathering module (210) may have interfaces configured to communicate with the one or more sensors (102). The interfaces may provision the information gathering module (210) to receive the data (204) in real-time. In an embodiment, the information gathering module (210) may pre-process the data (204) received from the one or more sensors (102). Pre-processing may include, but is not limited to, compressing the data, removing noises, normalizing, analog to digital conversion, changing format and the like.
[0034] In an embodiment, the impact forecast module (211) may be configured to receive the data (204) from the information gathering module (210) to monitor the condition of the goods and the vehicle (101). In an embodiment, the impact forecast module (211) may use the one or more sensors (102) to monitor the goods and the vehicle (101). For example, the impact forecast module (211) may receive a video footage of a live-stock transported in a truck. Monitoring the goods and the vehicle (101) comprises determining an impact of environmental data (207) on the goods and the vehicle (101). For example, the impact forecast module (211) may determine how the tides in the water affects the shipment. Further, the impact forecast module (211) may determine the condition of the shipment (if there is a damage, or if the shipment has displaced from its position due to high tides) . Further, the impact forecast module (211) may receive the RCA data (208) to predict an impact of the environmental data (207) on the goods and the vehicle (101). The impact forecast module (211 ) may analyse the RCA data (208) and accordingly predicts an impact of the environmental data (207) on the goods and the vehicle (101) in view of the RCA data (208). Therefore, the goods and the vehicle (101) may be safeguarded.
[0035] In an embodiment, the RCA module (212) may perform the RCA at the first instance. The RCA may include finding a root cause for the condition of the goods and the vehicle (101) at the first instance. For example, the root cause for a damage of a crockery in a truck may be due to potholes on a road. Another example can include, a shipment being toppled due to an obstacle in the sea. Another example can include, goods being displaced in an airplane due to turbulence. In an embodiment, the RCA may be performed by corelating the condition of the goods and the vehicle (101) with the environmental data (207) at a given time instance. A person skilled in the art will appreciate that known RCA techniques may be used to perform the RCA and is not limited to the aforementioned technique.
[QQ36] In an embodiment, the feedback module (213) may provide the feedback to the connected devices (104) and the vehicle (101) to safeguard tire goods and the vehicle (101). The feedback may be provided to the driver of the vehicle ( 101) or the connected devices ( 104) or both based on feedback. For example, when the goods are damaged, a feedback indicating damage of the goods may be provided to the driver as well as owner of the goods. In another example, when the air pressure in the tyre of the vehicle is reduced, then a feedback may be provided only to the driver to fill air in the tyre. In another example, when an indicator on the
vehicle (101) is loosened due to high speed of the vehicle (101) over a bump, then a feedback may be provided to the driver on exact localization area/side to tighten the indicator of the vehicle (101) before continuing atrip. An event of loosening of the indicator due to high speed of the vehicle (101) over the bump, may be stored as the RCA data (2.08) for predicting the impact at the second instance.
[0037] In some embodiment, the feedback may also be an action performed by a control system configured in the vehicle (101). For example, based on weather conditions, the feedback module (213) may activate head lamps of the vehicle (101) automatically.
[0038] In an embodiment, the other modules (214) may include a display unit, an alarm unit, and the like to provide the feedback. The display unit may display a road terrain to indicate obstacles on the road. The alarm unit may generate an alarm to indicate a damage or a change in condition of the vehicle or goods.
[0039] Figure 3 shows a block diagram of working of the computing system in an environment to provide transport reliability. The user interface (300) presents condition of the goods and the vehicle (101). The condition of the goods may include, but are not limited to, a vertical shift, a lateral shift, a harness state, a goods damage factor, and the like. The goods may be in any of three zones, a safe zone, a warning zone or a critical zone. In an exemplary embodiment, a slider bar (not shown in the figure) may he used to slide over the zones to indicate the condition of the goods. The condition of the vehicle may include, but are not limited to, speed of the vehicle, tilt of the vehicle, temperature inside the vehicle, fuel, tire pressure and the like. An indicator may he used to represent a current value of each of the condition of the vehicle. The indicator and the slider bar represent various conditions of the goods and the vehicle (101). The user interface also comprises feedback. The feedback may include an indication about a bump ahead on a road, indication to control speed of the vehicle (101), alternate route plans and the like. A condition of a vehicle may affect a condition of goods, and a feedback may be provided to take necessary actions to safeguard the conditions of the good and the vehicle (101). For example, the speed of the vehicle (101) may affect the lateral shift of the goods, resulting in displacement of goods. The feedback may be specific in nature, for example, to reduce speed by 20 kmph.
[0040] Figure 4 shows a flow chart illustrating a method for providing transport reliability, in accordance with some embodiments of the present disclosure. As illustrated in Figure 4, the method (400) may comprise one or more steps. The method (400) may be described in the general context of computer executable instructions. Generally, computer executable instructions can include routines, programs, objects, components, data structures, procedures, modules, and functions, which perform particular functions or implement particular abstract data types.
[0041] Tire order in which the method (400) is described is not intended to be construed as a limitation, and any number of the described method blocks can be combined in any order to implement the method. Additionally, individual blocks may be deleted from the methods without departing from the scope of the subject matter described herein. Furthermore, the method can be implemented in any suitable hardware, software, firmware, or combination thereof.
[0042] At step (401), receiving by the information gathering module (210) data related to the vehicle (101) and goods carried by the vehicle (101). The information gathering module (210) may receive the vehicle data (205) and the goods data (206) from the one or more sensors (102). The one or more sensors (102) may be placed inside the vehicle (101) or may be mounted on the vehicle (101). Referring now to example of Figure 5a, the vehicle (101) may be a truck (501). The vehicle data (205) may refer to the vehicle type i.e., road transport, the specification of the truck (501), the current load the tmck may be carrying, the current speed of the truck (501). Considering tire truck (501) may carrying laboratory materials, the goods data (206) may refer to the nature of the goods i.e., fragile.
[0043] Referring back to Figure 4, at step (402), receiving by the information gathering module (210) the one or more parameters related to the environment around the vehicle (101). Referring back to the example of Figure 5a, the environmental data (207) may refer to the condition of the road, the climate around the truck (501). The condition of the road may be bumps on the road, traffic congestion, potholes on the road and the like.
[0044] Referring back to Figure 4, at step (403), analysing by the impact forecast module (211 ) an impact of the one or more parameters on the goods and the vehicle (101). The impact forecast module (211) may analyse the impact of the environmental data (207) on the goods
and the vehicle (101 ), based on the vehicle data (205), the goods data (206) and the RCA data (208). Referring back to the example of Figure 5a, the impact forecast module (211) may consider various routes the truck (501) may take from source to destination. The impact forecast module (211) may analyse the impact of the condition of the road on the laboratory materials and the truck (501). The routes may be route 502, route 503 and route 504. Route 502 may be having bumps. The impact forecast module (211) may analyse the impact of bumps on the laboratory materials as the laboratory materials are fragile.
[0045] Referring back to Figure 4, at step (404), monitoring the goods and the vehicle (101) by the impact forecast module (211) by determining an impact of environmental data (207) on the goods and the vehicle (101). For example, the impact forecast module (211) may determine how the tides in the water affects the shipment. Further, the impact forecast module (211) may determine the condition of the shipment (if there is a damage, or if the shipment has displaced from its position due to high tides).
[0046] At step (405), the feedback module (213) may generate the feedback to safeguard the goods and the vehicle (101), based on the monitoring of the condition of the goods and the vehicle (101). The feedback may be provided to the dri ver or the connected devices (104). The feedback may be in a visual, textual, audio or a haptic form. Referring back to the example of Figure 5a, the feedback may be given as a visual picture representing route recommendations. Route 504 may be a narrower road, which may cause difficulty in movement on truck (501). Route 503 may be the fastest route. The visual picture may show7 the three routes and visually represent driver of the truck (501) to consider route 503, as it is the fastest and may have no bumps.
[0047] In an embodiment, the impact forecast module (211) may receive the RCA data (208) to predict an impact of the environmental data (207) on the goods and the vehicle (101). The route recommendation may be given to the driver of the track (501) based on a prediction, obtained from the RCA data (208). The RCA data (208) may have information about damage of the fragile goods on a road with bumps. Hence the computing system (103) may provide the route recommendation to driver of the track (501) to not consider route 502,
[0048] Reference is now made to Figure 5B illustrating an exemplary user interface for providing transport reliability. The vehicle (101) may be carrying the goods from source to
destination. The user interface presents condition of the goods and the vehicle (101). The condition of die goods may include, but are not limited to, a vertical shift, a lateral shift, a harness state, a goods damage factor, and the like. The condition of die vehicle may include, but are not limited to, current speed of the vehicle, current load on the vehicle, tilt of the vehicle, temperature inside the vehicle, fuel, tire pressure and the like. The user interface also comprises feedback/alert. The alert may include an indication about a bump ahead on a road, indication to control speed of the vehicle (101), alternate route plans and the like. A condition of a vehicle may affect a condition of goods, and an alert may be presented to take necessary actions to safeguard the conditions of the good and the vehicle (101). Current speed of the vehicle may be 50kmph. A bump on the road may affect the vertical shift of the goods, resulting in displacement of goods. The user interface may present the vertical shift of the goods as critical. Since, the goods may be vertically shifted, the goods damage factor may be presented as critical. The alert may he an indication of the bump and to reduce speed to 30 kmph. The alert may be based on the RCA. For example, a bus may be carrying people to a destination. A bump on the road may cause a jerk (or a vertical shift) to the people on rear seats of the bus. The RCA may store the data as a jerk caused to the people, when there is a bump ahead. At a second bump, an alert may be given to a driver of the bus as, a bump ahead and to reduce the speed of the bus.
[0049] Reference is now made to figure 5C illustrating an exemplar}' user interface for providing transport reliability. The vehicle (101) may be carrying medicines. The medicines must be stored at a low temperature. Temperature of the vehicle (101) may increase due to environment around the vehicle (101). A temperature sensor may he mounted on the medicine boxes. The temperature sensor may indicate goods parameter as an increase in temperature of the medicine boxes. A current value of an Air- Conditioner (A/C) of the vehicle (101) may be 28° C. A feedback may be given to a driver of the vehicle (101 ) to decrease the temperature of an Air- Conditioner (A/C) of the vehicle ( 101) to 23° C.
[0050] Reference is now made to Figure 5D for providing transport reliability for an air vehicle (101). The vehicle may refer to an airplane (506). The specification of the vehicle (101) may be obtained from specification sheet of the airplane (506). The current speed may refer to the current speed of the airplane (506), for example 800 km/hr. The current load of the airplane
(506) may refer to number of passengers (508) and the goods. The goods may include luggage
(507) of the passenger (508). The goods data (206) may comprise weight of the luggage (507),
nature of the luggage (507) say fragile items and the like. The environmental data (207) may refer to the turbulence, wind speed, and wind shear. In an embodiment, the turbulence, wind speed and the wind shear may be received from the one or more sensors mounted on the airplane (506). Also, the one or more parameters may be received from a weather station associated with the airplane (506). The impact forecast module (211) may analyse the impact of wind shear on tire airspeed of the airplane (506). The airplane (506) may be flying through a boundary between two air masses moving in radically different directions, which is referred as the wind shear. Tire air speed may reduce to a minimal, thus causing the airplane (506) to fly in the air. This may cause disastrous consequences on the passengers (508) and the goods (507). An alert may be given to pilot of the airplane (506) by the computing system (103) about the reduction in airspeed of the airplane (506) due to the wand shear. The alert may be given on a display. Also, the alert may be given to the connected devices (104) such as an airport about a delay in landing of tire airplane (506) that might be caused due to the wind shear. The feedback provided is at least one of an alert and an actuation to safeguard the vehicle and the goods. Automatic alerts may be provided. The passengers may be provided with the automatic alert in the form of audio, to fasten the seat belts based on position of the airplane (506). Brightness of airplane navigation lights may be automatically controlled based on time duration to improve visibility of the airplane (506). A prediction can be provided by the impact forecast module (211) for a second airplane (not shown in figure) indicating the damage occurred to the airplane (506) and the root cause of the damage. Therefore, the second airplane may take appropriate measures to avoid any disastrous consequences on tire passengers.
[0051] In another example, a vehicle (101) may be transporting hazardous chemicals. The vehicle (101) may have to be continuously monitored to mitigate a risk to property and life. As described in step 301, the computing system (103) may receive the goods data (206) and the vehicle data (205), The goods data (206) may comprise one or more properties of the chemicals, namely, a temperature and moisture conditions for storing the chemicals, sensitivity of the chemicals to heat and light, and the like. The vehicle data (205) may comprise specification of the vehicle (101), current speed of the vehicle (101), container type and the like. As described in step 302, the computing system (103) may receive the environmental data (207). The environmental data may comprise climate around the vehicle (101), condition of a road, and the like. As described in step 303, the computing unit (103) may analyse an impact of the environmental data (207) on the goods and the vehicle (101). The impact may be change in temperature of the chemicals, change in chemical composition of the chemicals, freezing of the
chemicals, tilting of the vehicle (101), corrosion of the container of the vehicle (101) due to moisture and the like. As described in step 304, the computing unit may monitor the condition of the goods and the vehicle (101). The computing unit (103) may determine the impact of the environmental data on the vehicle and the goods. In a first scenario, the computing unit (103) may determine a change of pressure when the vehicle (101) speeds over a bump on the road. In a second scenario, the computing unit (103) may determine a tilt of the vehicle due to bad road conditions. In a third scenario, the computing unit (103) may determine freezing of the chemicals due to the climate around the vehicle (101). In a fourth scenario, the computing unit (103) may determine a leak of the chemicals due to corrosion of the container of the vehicle (101). As described in step 305, the computing unit (103), may generate a feedback to safeguard the condition of the vehicle (101) and the goods. In the first scenario, the feedback may be a display indicating the hump on the road. In the second scenario, the feedback may be an indication to reduce speed of the vehicle (101). In the third scenario, the feedback may be provided to store the chemicals in a temperature-controlled chemical storage unit. In the fourth scenario, the feedback provided may be to shift the chemicals to a different container. An information about the corrosion of the container may be obtained from an electrochemical sensor installed in the container. In a scenario where the hazardous chemicals may catch fire, leak or explode due to change in composition of the chemicals, the feedback may be to deport the chemicals to a closest laboratory' to mitigate a risk of an accident of the vehicle (101). The computing unit (103) may store the change of pressure when the vehicle (101) speeds over a bump on the road, tilt of the vehicle due to bad road conditions, freezing of the chemicals due to the climate around the vehicle (101), leak due to corrosion of the container of the vehicle (101) and the like as RCA data (208) to provide a prediction to a second vehicle carrying chemicals to avoid any disastrous consequences.
[0052] The present disclosure has the following advantages:
1. It covers broad area of transport in any modes like road, rail, water, air.
2. It ensures safeguarding of both the condition of the goods and the vehicle, thus pro viding a reliable transport.
COMPUTER SYSTEM
[0053] Figure 6 illustrates a block diagram of an exemplary computer system (600) for implementing embodiments consistent with the present disclosure. In an embodiment, the computer system (600) is used for providing transport reliability. The computer system (600)
may comprise a central processing unit (“CPU” or “processor”) (602). The processor (602) may comprise at least one data processor. The processor (602) may include specialized processing units such as integrated system (bus) controllers, memory management control units, floating point units, graphics processing units, digital signal processing units, etc. In the present disclosure, the processor (602) may be configured to receive data related to a vehicle and goods carried by the vehicle. Further, the processor (602) may be configured to receive one or more parameters related to an environment around the vehicle. Furthermore, the processor (602) may be configured to analyse an impact of the one or more parameters on the goods and the vehicle. Thereafter, the processor (602) may be configured to monitor a condition of the goods and the vehicle, based on the impact of the one or more parameters; and generate a feedback to safeguard the goods and the vehicle, based on the monitoring of the condition of the goods and the vehicle. The processor (602) may be equivalent to the processor (203).
[0054] The processor (602) may be disposed in communication with one or more input/output (I/O) devices (not shown) via I/O interface (601). The I/O interface (601) may employ communication protocols/methods such as, without limitation, audio, analog, digital, monoaural, RCA, stereo, IEEE-1394, serial bus, universal serial bus (USB), infrared, PS/2, BNC, coaxial, component, composite, digital visual interface (DVI), high-definition multimedia interface (HDMI), RF antennas, S-Video, VGA, IEEE 802. n /b/g/n/x, Bluetooth, cellular (e.g., code-division multiple access (CDMA), high-speed packet access (HSPA+), global system for mobile communications (GSM), long-term evolution (LTE), WiMax, or the like), etc.
[0055] Using the I/O interface (601), the computer system (600) may communicate with one or more I/O devices. For example, the input device (610) may be an antenna, keyboard, mouse, joystick, (infrared) remote control, camera, card reader, fax machine, dongle, biometric reader, microphone, touch screen, touchpad, trackball, stylus, scanner, storage device, transceiver, video device/source, etc. The output device (611 ) may be a printer, fax machine, video display (e.g., cathode ray tube (CRT), liquid crystal display (LCD), light-emitting diode (LED), plasma, Plasma display panel (PDP), Organic light-emitting diode display (QLED) or the like), audio speaker, etc. I/O interface (601) may be equivalent to the I/O interface (201).
[QQ56] In some embodiments, the computer system (600) is connected to the remote devices (612) through a communication network (609) . The remote devices (612) may provide the user reviews to the computing network (600). The remote devices may be sensors. The sensors may be a temperature sensor, a proximity sensor, an accelerometer, an infrared sensor, a pressure sensor, an ultrasonic sensor, a Global Positioning System (GPS) sensor or the like. The sensors may be a part of smart container of a vehicle. The processor (602) may be disposed in communication with the communication network (609) via a network interface (603). The network interface (603) may communicate with the communication network (609). The network interface (603) may employ connection protocols including, without limitation, direct connect, Ethernet (e.g, twisted pair 10/100/1000 Base T), transmission control protocol/intemet protocol (TCP/IP), token ring, IEEE 802.11a/b/g/n/x, etc. The communication network (609) may include, without limitation, a direct interconnection, local area network (LAN), wide area network (WAN), wireless network (e.g., using Wireless Application Protocol), the Internet, etc. Using the network interface (603) and the communication network (609), the computer system (600) may communicate with the scene remote devices (612). The network interface (603) may employ connection protocols include, but not limited to, direct connect, Ethernet (e.g., twisted pair 10/ 100/ 1000 Base T), transmission control protocol/intemet protocol (TCP/IP), token ring, IEEE 802.Ha/b/g/n/x, etc.
[0057] The communication network (609) includes, but is not limited to, a direct interconnection, an e-commerce network, a peer to peer (P2P) network, local area network (LAN), wide area network (WAN), wireless network (e.g., using Wireless Application Protocol), the Internet, Wi-Fi and such. The first network and the second network may either be a dedicated network or a shared network, which represents an association of the different types of networks that use a variety of protocols, for example, Hypertext Transfer Protocol (HTTP), Transmission Control Protocol/intemet Protocol (TCP/IP), Wireless Application Protocol (WAP), etc, to communicate with each other. Further, the first network and the second network may include a variety of network devices, including routers, bridges, servers, computing devices, storage devices, etc.
[0058] In some embodiments, the processor (602) may be disposed in communication with a memory (605) (e.g, RAM, ROM, etc, not shown in figure 6) via a storage interface (604). The storage interface (604) may connect to memory (605) including, without limitation, memory drives, removable disc drives, etc, employing connection protocols such as serial advanced
technology atachment (SATA), Integrated Drive Electronics (IDE), IEEE- 1394, Universal Serial Bus (USB), fiber channel, Small Computer Systems Interface (SCSI), etc. The memory drives may further include a drum, magnetic disc drive, magneto-optical drive, optical drive, Redundant Array of Independent Discs (RAID), solid-state memory devices, solid-state dri ves, etc.
[0059] The memory (605) may store a collection of program or database components, including, without limitation, user interface (606), an operating system (607), web server (608) etc. In some embodiments, computer system (600) may store user/application data, such as, the data, variables, records, etc., as described in this disclosure. Such databases may be implemented as fault-tolerant, relational, scalable, secure databases such as Oracle ® or Sybase®. In the present disclosure, the memory (605) may store the vehicle data (205), the goods data (206), the environmental data (207), and the RCA data (208). The data (204) in the memory (605) may he processed by modules (209) of the system, for example, an information gathering module (210), an impact forecast module (211), a RCA module (212), a feedback module (213) and other modules (214). The user interface (606) may present the condition of the goods and the vehicle (101). The user interface (606) may also comprise feedback to take necessary actions to safeguard the conditions of the good and the vehicle (101). In an embodiment, the different modules of Figure 2 may be realised by the processor (602) of Figure 6
[0060] The operating system (607) may facilitate resource management and operation of the computer system (600). Examples of operating systems include, without limitation, APPLE MACINTOSH* OS X, UNIX*, UNIX-like system distributions (E.G., BERKELEY SOFTWARE DISTRIBUTION™ (BSD), FREEBSD™, NETBSD™, OPENBSD™, etc.), LINUX DISTRIBUTIONS™ (E.G., RED HAT™, UBUNTU™, KUBUNTU™, etc.), IBM™ OS/2, MICROSOFT™ WINDOWS™ (XP™, VISTA™/7/8, 10 etc,), APPLE* IOS™, GOOGLE* ANDROID™, BLACKBERRY* OS, or the like,
[0061] In some embodiments, the computer system (600) may implement a web browser (608) stored program component. The web browser (608) may be a hypertext viewing application, for example MICROSOFT* INTERNET EXPLORER™, GOOGLE* CHROME™0, MOZILLA* FIREFOX™, APPLE* SAFARI™, etc. Secure web browsing may be provided using Secure Hypertext Transport Protocol (HTTPS), Secure Sockets Layer (SSL), Transport
Layer Security (TLS), etc. Web browsers (608) may utilize facilities such as AJAXTM, DHTML™, ADOBER FLASH™, JAVASCRIPT™, JAVA™, Application Programming Interfaces (APIs), etc. In some embodiments, the computer system (600) may implement a mail server stored program component. The mail server may be an Internet mail server such as Microsoft Exchange, or the like. The mail server may utilize facilities such as ASP™, ACTIVEX™, ANSI™ C++/CA MICROSOFT'S .NET™, CGI SCRIPTS™, JAVA™, JAVASCRIPT™, PERL™, PHP™, PYTHON™, WEBOBJECTS™, etc. The mail server may utilize communication protocols such as Internet Message Access Protocol (IMAP), Messaging Application Programming Interface (MAPI), MICROSOFT11 exchange, Post Office Protocol (POP), Simple Mail Transfer Protocol (SMTP), or the like. In some embodiments, the computer system (600) may implement a mail client stored program component. The mail client may be a mail viewing application, such as APPLER MAILTM , MICROSOFTR ENTOURAGE™, MICROSOFTR OUTLOOKTM MOZILLATM THUNDERBIRD™, etc.
[0062] Furthermore, one or more computer-readable storage media may be utilized in implementing embodiments consistent with the present disclosure. A computer-readable storage medium refers to any type of physical memory on which information or data readable by a processor may be stored. Thus, a computer-readable storage medium may store instructions for execution by one or more processors, including instructions for causing the processor(s) to perform steps or stages consistent with the embodiments described herein . The term “computer-readable medium” should be understood to include tangible items and exclude carrier waves and transient signals, i.e., be non-transitory. Examples include Random Access Memory' (RAM), Read-Only Memory (ROM), volatile memory', non-volatile memory', hard drives, CD ROMs, DVDs, flash drives, disks, and any other known physical storage media,
[0063] The terms "an embodiment", "embodiment", "embodiments", "the embodiment”, "the embodiments", "one or more embodiments", "some embodiments", and "one embodiment" mean "one or more (but not all) embodiments of the invention(s)" unless expressly specified otherwise.
[0064] The temis "including", "comprising", “having” and variations thereof mean "including but not limited to", unless expressly specified otherwise.
[0065] The enumerated listing of items does not imply that any or all of the items are mutually exclusive, unless expressly specified otherwise. The terms "a", "an" and "the" mean "one or more", unless expressly specified otherwise.
[0066] A description of an embodiment with several components in communication with each other does not imply that all such components are required. On the contrary a variety of optional components are described to illustrate the wide variety of possible embodiments of the invention.
[0067] When a single device or article is described herein, it will be readily apparent that more than one device/article (whether or not they cooperate) may be used in place of a single device/article. Similarly, where more than one device or article is described herein (whether or not they cooperate), it will be readily apparent that a single device/article may be used m place of the more than one device or article or a different number of devices/articles may be used instead of the shown number of devices or programs. The functionality and/or the features of a device may be alternatively embodied by one or more other devices which are not explicitly described as having such functionality/features. Thus, other embodiments of the invention need not include the device itself.
[0068] The illustrated operations of Figure 3 shows certain events occurring in a certain order. In alternative embodiments, certain operations may be performed in a different order, modified or removed. Moreover, steps may be added to the above described logic and still conform to the described embodiments. Further, operations described herein may occur sequentially or certain operations may be processed in parallel. Yet further, operations may be performed by a single processing unit or by distributed processing units.
[0069] Finally, the language used in the specification has been principally selected for readability and instructional purposes, and it may not have been selected to delineate or circumscribe the inventive subject matter. It is therefore intended that the scope of the invention be limited not by this detailed description, but rather by any claims that issue on an application based here on. Accordingly, the disclosure of the embodiments of the invention is intended to be illustrative, but not limiting, of the scope of the invention, winch is set forth in the following claims.
[0070] While various aspects and embodiments have been disclosed herein, other aspects and embodiments will be apparent to those skilled in the art. The various aspects and embodiments disclosed herein are for purposes of illustration and are not intended to be limiting, with the true scope being indicated by the following claims.
Claims
1. A method for providing transport reliability, comprising: receiving, by a computing system (103), data (205, 206) related to a vehicle (101) and goods carried by the vehicle (101); receiving, by the computing system (103), one or more parameters related to an environment around the vehicle (101); analysing, by the computing system (103), an impact of the one or more parameters on the goods and the vehicle (101); monitoring, by the computing system (103), a condition of the goods and the vehicle, based on the impact of the one or more parameters; and generating, by the computing system (103), a feedback to safeguard the goods and the vehicle, based on the monitoring of the condition of the goods and the vehicle (101).
2. The method as claimed in claim 1, wherein the data (206) related to the goods comprises one or more of nature of the goods, category of the goods, and weight and dimensions of the goods.
3. The method as claimed in claim 1, wherein the data (205) related to the vehicle (101) comprises at least one of a vehicle (101) type, a container type for holding the goods, a specification of the vehicle (101), a current speed of the vehicle (101), and a current load of the vehicle (101).
4. The method as claimed in claim 1, wherein the one or more parameters related to the environment (207) comprises at least one of weather condition around the vehicle (101), condition of a road, turbulence and wind in air, water current and one or more parameters relating to the mode of transport of the vehicle (101).
5. The method as claimed in claim 1, wherein the feedback provided is at least one of an alert and an actuation to safeguard the vehicle (101) and the goods.
6. The method as claimed in claim 1, wherein generating the feedback comprises: assessing the condition of the goods and the vehicle (101) at a first instance and determining a root cause for the condition of the goods and the vehicle (101);
predicting an impact of the one or more parameters on the vehicle (10!) and the goods for a second instance, based on the assessed condition of the goods; and providing the feedback based on the root cause for the condition of the goods and the vehicle (101) and the prediction to safeguard the vehicle (101) and the goods in the second instance.
7. A system for providing transport reliability comprising: a processor (602); and a memory (605), wherein the memory stores processor-executable instructions, which, on execution, cause the processor (605) to: receive data (205, 206) related to a vehicle (101) and goods carried by the vehicle (101); receive one or more parameters related to an environment around the vehicle (101); analyse an impact of the one or more parameters on the goods and the vehicle (101); monitor a condition of the goods and the vehicle (101), based on the impact of the one or more parameters; and generate a feedback to safeguard the goods and the vehicle (101), based on the monitoring of the condition of the goods and the vehicle (101).
8. Tire system as claimed in claim 8, wherein the feedback provided by the processor (605) is at least one of an alert and an actuation to safeguard the vehicle (101) and the goods.
9. The system as claimed in claim 8, wherein the processor (605) generates the feedback by: assessing the condition of the goods and the vehicle (101) at a first instance and determining a root cause for the condition of the goods and the vehicle (101); predi cting an impact of the one or more parameters on the vehicle (101) and the goods for a second instance, based on the assessed condition of the goods; and providing the feedback based on the root cause for the condition of the goods and the vehicle and the prediction to safeguard the vehicle (101) and the goods in tire second instance.
10. The system as claimed in claim 8, wherein the processor is configured at least for edge computing and cloud computing.
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CN117787840A (en) * | 2024-02-23 | 2024-03-29 | 鲁西化工集团股份有限公司 | Control system and method for logistics transportation capacity allocation and filling of liquid hazardous chemical substances |
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US5686888A (en) * | 1995-06-07 | 1997-11-11 | General Electric Company | Use of mutter mode in asset tracking for gathering data from cargo sensors |
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