WO2021038282A1 - Système de sécurité adaptatif pour environnement dangereux - Google Patents

Système de sécurité adaptatif pour environnement dangereux Download PDF

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Publication number
WO2021038282A1
WO2021038282A1 PCT/IB2019/057354 IB2019057354W WO2021038282A1 WO 2021038282 A1 WO2021038282 A1 WO 2021038282A1 IB 2019057354 W IB2019057354 W IB 2019057354W WO 2021038282 A1 WO2021038282 A1 WO 2021038282A1
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WO
WIPO (PCT)
Prior art keywords
physical object
hazardous environment
risk score
measurement
safety system
Prior art date
Application number
PCT/IB2019/057354
Other languages
English (en)
Inventor
András VERES
Tamas Borsos
István GÓDOR
Péter Hága
Zsófia KALLUS
Zsolt Kenesi
Mate SZEBENYEI
Peter Vaderna
Original Assignee
Telefonaktiebolaget Lm Ericsson (Publ)
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Telefonaktiebolaget Lm Ericsson (Publ) filed Critical Telefonaktiebolaget Lm Ericsson (Publ)
Priority to PCT/IB2019/057354 priority Critical patent/WO2021038282A1/fr
Publication of WO2021038282A1 publication Critical patent/WO2021038282A1/fr

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Classifications

    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
    • F16P—SAFETY DEVICES IN GENERAL; SAFETY DEVICES FOR PRESSES
    • F16P3/00—Safety devices acting in conjunction with the control or operation of a machine; Control arrangements requiring the simultaneous use of two or more parts of the body
    • F16P3/12—Safety devices acting in conjunction with the control or operation of a machine; Control arrangements requiring the simultaneous use of two or more parts of the body with means, e.g. feelers, which in case of the presence of a body part of a person in or near the danger zone influence the control or operation of the machine
    • F16P3/14—Safety devices acting in conjunction with the control or operation of a machine; Control arrangements requiring the simultaneous use of two or more parts of the body with means, e.g. feelers, which in case of the presence of a body part of a person in or near the danger zone influence the control or operation of the machine the means being photocells or other devices sensitive without mechanical contact
    • F16P3/147—Safety devices acting in conjunction with the control or operation of a machine; Control arrangements requiring the simultaneous use of two or more parts of the body with means, e.g. feelers, which in case of the presence of a body part of a person in or near the danger zone influence the control or operation of the machine the means being photocells or other devices sensitive without mechanical contact using electro-magnetic technology, e.g. tags or radar
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G5/00—Traffic control systems for aircraft, e.g. air-traffic control [ATC]
    • G08G5/0017—Arrangements for implementing traffic-related aircraft activities, e.g. arrangements for generating, displaying, acquiring or managing traffic information
    • G08G5/0021—Arrangements for implementing traffic-related aircraft activities, e.g. arrangements for generating, displaying, acquiring or managing traffic information located in the aircraft
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G5/00—Traffic control systems for aircraft, e.g. air-traffic control [ATC]
    • G08G5/0047—Navigation or guidance aids for a single aircraft
    • G08G5/0069—Navigation or guidance aids for a single aircraft specially adapted for an unmanned aircraft
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G5/00—Traffic control systems for aircraft, e.g. air-traffic control [ATC]
    • G08G5/04—Anti-collision systems
    • G08G5/045—Navigation or guidance aids, e.g. determination of anti-collision manoeuvers

Definitions

  • the present application relates generally to a safety system for a hazardous environment, and relates more particularly to adaptation of such a system
  • Hazardous environments such as construction sites, mines, manufacturing sites, etc. can pose dangerous threats to people, equipment, and other physical objects.
  • Traditional safety approaches mitigate potential risks of harm by imposing regulations. Regulations may for instance require people in a hazardous environment to wear special shoes, clothing, helmets, etc.
  • Radio devices attached to people, equipment, and other physical objects. With such radio devices, positioning measurements can be performed so that the system becomes aware of the position of those objects as well as the hazards to which they are exposed. Armed with such position awareness, the safety system may dynamically detect actual or potential risks and trigger remedial measures, such as alerts or equipment.
  • radio devices on which advanced safety systems rely have limited battery life.
  • radio devices have limits on how densely they can be deployed, since denser deployments create more radio
  • a safety system adapts one or more parameters that govern measurement of one or more kinematic properties of a physical object in a hazardous environment, e.g., a position of the physical object in the hazardous environment.
  • the kinematic properties of a physical object in a hazardous environment e.g., a position of the physical object in the hazardous environment.
  • safety system adapts the parameter(s) based on an extent to which the physical object is in danger in the hazardous environment. As danger to the physical object increases, for example, the safety system may adapt the parameter(s) to increase the measurement accuracy and/or decrease the measurement latency. Alternatively or additionally, as danger to the physical object decreases, the safety system may adapt the parameter(s) to decrease the power consumed by
  • the parameter(s) may for instance be adapted to measure the physical object’s kinematic properties more often when the physical object is in greater danger, but to measure those properties less often when tire physical object is in less danger.
  • the safety system’s adaptation may advantageously exploit times during which the physical object is in less danger as opportunities to conserve power and/or minimize radio interference. Indeed, it is during these times of less danger that any degradation in measurement accuracy and/or latency resulting from the adaptation poses the least risk to the physical object. But the safety system adaptively recognizes 5 times during which the physical object is in greater danger as moments when measurement accuracy and/or latency should not be compromised.
  • embodiments herein include a method performed by a safety system for safeguarding a physical object (e.g., a piece of equipment or a person) in a hazardous environment.
  • the method includes obtaining a risk score that reflects an extent to which the 10 physical object is in danger in the hazardous environment.
  • the one or more kinematic properties of the physical object include one or more of: (i) a position of the physical object in the hazardous environment; (ii) a proximity of the physical object to a hazard in the hazardous environment; or (iii) a distance between the physical object and a hazard in the hazardous environment.
  • the one or more kinematic properties of 15 the physical object include one or more of: (i) a speed of the physical object in the hazardous environment; (ii) a direction of movement of the physical object in the hazardous environment; or (iii) an amount of time before the physical object will be within a zone of danger in the hazardous environment.
  • the method may further include, based on the risk score, adapting one or 20 more parameters that govern measurement of one or more kinematic properties of the physical object in the hazardous environment.
  • the one or more parameters include a measurement frequency parameter that governs how often at least one of the one or more kinematic properties of the physical object is measured.
  • adaptation may comprise configuring the measurement frequency parameter for measuring at least one of 25 the one or more kinematic properties more or less often depending respectively on whether the risk score has increased or decreased since the measurement frequency parameter was last configured.
  • such adaptation may include configuring the measurement frequency parameter for measuring at least one of the one or more kinematic properties more or less often depending respectively on whether the risk score is above or below a threshold.
  • the one or more parameters include a parameter that governs which one or more kinematic properties of the physical object are measured.
  • the parameter may govern whether a position of the physical object is measured or a proximity of the physical object to a hazard is measured.
  • adaptation of the parameter may comprise configuring the parameter for measuring the position of the physical object or the proximity of the physical object to the hazard, depending respectively on whether the risk score is below or above a risk limit.
  • the measurement of the one or more kinematic properties of the physical object is based on measurement of one or more radio signals 5 transmitted to or from a radio device associated with the physical object.
  • the risk score may be a function of at least one of the one or more kinematic properties of the physical object.
  • adaptation in these or other embodiments may adapt the one or more parameters to increase an accuracy of and/or decrease a latency of measurement of the one or 10 more kinematic properties as the risk score increases.
  • the one or more parameters may be adapted to decrease power consumed by and/or radio interference generated by measurement of the one or more kinematic properties as the risk score decreases.
  • the method may further include transmitting, to a device associated with the physical object, configuration signalling that configures the device to perform measurement of at least 15 one of the one or more kinematic properties according to the one or more parameters as adapted.
  • the method may further comprise determining, based on the one or more kinematic properties of the physical object, whether to perform one or more actions to safeguard the physical object in the hazardous environment. The method may then include performing or not performing the one or more actions depending on that determination.
  • Embodiments herein also include corresponding apparatus, computer program, and carrier.
  • embodiments include a safety system for safeguarding a physical object in a hazardous environment.
  • the safety system is configured (e.g., via processing circuitry and communication circuitry) to obtain a risk score that reflects an extent to which the physical object is in danger in the hazardous environment.
  • the safety system is also configured to, based 25 on the risk score, adapt one or more parameters that govern measurement of one or more kinematic properties of the physical object in the hazardous environment.
  • Figure 1 is a block diagram of a safety system for protecting a physical object in a hazardous environment according to some embodiments.
  • Figure 2 is a block diagram of kinematic measurement frequency adjustment according to some embodiments.
  • Figure 3 is a block diagram of kinematic measurement type adjustment according to some embodiments.
  • Figure 4 is a call flow diagram for kinematic measurement parameter adaptation according to some embodiments.
  • Figure 5 is a block diagram of risk score calculation according to some embodiments.
  • Figure 6 is a block diagram of differently sized danger zones according to some embodiments.
  • Figure 7 is a block diagram of a control loop for a safety system according to some embodiments.
  • Figure 8 is a logic flow diagram of a method performed by a safety system according to some embodiments.
  • Figure 9 is a block diagram of a safety system according to some embodiments.
  • Figure 1 shows a hazardous environment 10 such as a manufacturing site, a construction site, a mine, or any other environment that includes one or more hazards.
  • the hazardous environment 10 in Figure 1 for instance includes a hazard 12, such as a forklift (as shown), a 15 heavy piece of equipment, a vehicle, a robot, a drone, or the like.
  • This hazard 12 may be dangerous to a physical object 14 in the hazardous environment 10, such as a person (as shown), a piece of equipment, or another other physical object that could be harmed by the hazard 12.
  • a safety system 16 safeguards the physical object 14 in the hazardous environment, e.g., in the sense that the safety system 16 takes or triggers 20 protective actions against actual or possible danger to the physical object 14.
  • the safety system 16 may for example perform one or more protective actions to safeguard the physical object 14, responsive to detecting that the physical object 14 is in danger of being harmed by the hazard 12.
  • Such action(s) may include for instance triggering a visual or audible alert to notify or warn tire physical object 14 or other personnel of the danger, triggering shutoff of the hazard 12 or other 25 equipment to mitigate the danger, or transmitting control signalling to another system responsible for taking protective action.
  • the safety system 16 detects an extent to which the physical object 14 is in danger in the hazardous environment 10 and/or whether to perform the one or more protective actions, based at least in part on measurement of one or more kinematic 30 properties of the physical object 14.
  • the one or more kinematic properties describe or are otherwise based on tire motion of the physical object 14 in the hazardous environment, e.g., which may be static or may dynamically change over time.
  • the one or more kinematic properties may include, for instance a position 18 of the physical object 14 in the hazardous environment 10.
  • This position 18 may be an absolute position in the hazardous environment 10 (e.g., in terms of position coordinates in a coordinate system) or may be a relative position.
  • the safety system 16 in some embodiments may assess how much danger the physical object 14 is in also on based on a position 13 of the hazard 12. For example, the safety system 16 may detect that the physical object 14 is in greater 5 danger the closer the physical object’s position 18 is to the hazard’s position 13.
  • the one or more kinematic properties may include a proximity of the physical object 14 to the hazard 12 in the hazardous environment 10.
  • the safety system 16 may for instance detect the physical object is in greater danger the closer the proximity between the physical object 14 and the hazard 12.
  • the one 10 or more kinematic properties may include a distance between the physical object 14 and the hazard 12, e.g., with the physical object being in greater danger the smaller the distance between the physical object 14 and the hazard 12.
  • the one or more kinematic properties may alternatively or additionally include a speed of the physical object 14, a direction of movement of the physical object 14, and/or an amount of time before the physical object 14 will be within a zone of danger 15 in the hazardous environment 14.
  • the safety system 16 may determine the extent to which the physical object 14 is in danger based on the one or more kinematic properties of the physical object 14 and/or one or more kinematic properties of the hazard 12. In one embodiment, for instance, the safety system 16 may compare the one or more kinematic properties of the 20 physical object 14 to one or more configured kinematic property thresholds, e.g., if the physical object’s position falls within a certain area, the safety system 16 may determine that the physical object 14 is in danger.
  • the safety system 16 may compare the one or more kinematic properties of the physical object 14 to one or more kinematic properties of the hazard 12, e.g., if the physical object’s position is within a certain range of the hazard’s position, 25 the safety system 16 may determine that the physical object 14 is in danger.
  • a device 20 associated with the physical object 14 facilitates 30 measurement of the one or more kinematic properties of the physical object 14.
  • the device 20 associated with the physical object 14 may for instance be attached to or embedded in the physical object 14 itself, or be attached to or embedded in something else that is co-located with the physical object 14.
  • the device 20 may be a wearable device that is attached to or embedded in a helmet 14A or an article 35 of clothing worn by the person.
  • the device 20 may be a sensor (e.g., an imaging sensor or an inertial sensor), a dedicated positioning device (e.g., a Global Positioning System, GPS, receiver), a radio device, or any type of device capable of measuring a kinematic property of the physical object 14.
  • a sensor e.g., an imaging sensor or an inertial sensor
  • a dedicated positioning device e.g., a Global Positioning System, GPS, receiver
  • a radio device e.g., a radio device, or any type of device capable of measuring a kinematic property of the physical object 14.
  • the device 20 may consume power when it is used to measure the one or more kinematic properties of the 5 physical object 14. In this case, kinematic property measurement comes with the cost of device power consumption.
  • each use of the device 20 to measure the one or more kinematic properties proves costly in terms of battery consumption.
  • kinematic property measurement may come with the cost of 10 increased radio interference and/or decreased measurement accuracy.
  • the device 20 is a radio device
  • measurement of at least one of the one or more kinematic properties of the physical object 14 may be based on measurement of one or more radio signals transmitted to or from the device 20.
  • Figure 1 shows that one or more radio signals 22 may be occasionally or 15 periodically transmitted between the device 20 and one or more position anchors 24 with fixed, known positions in the hazardous environment 10.
  • the radio signal(s) 22 may be measured by the device 16 and/or the anchor(s) 24, e.g., for determining of a time of arrival (ToA) of each signal 22, for determining a time difference of arrival (TDoA) of each signal 22 relative to arrival of another signal, and/or for determining an angle of arrival (AoA) of each signal 22.
  • ToA time of arrival
  • TDoA time difference of arrival
  • AoA angle of arrival
  • Such measurement of the radio signal(s) 22 may be used for example to estimate the position 18 of the physical object 14 in the hazardous environment (e.g., via 3D positioning techniques such as triangulation, trilateration, or the like).
  • one or more radio signals 26 may be transmitted between the device 20 associated with the physical object 14 and a device 28 associated with the hazard 12.
  • the radio signal(s) 26 may be measured by one or both of the 25 devices 20, 28, e.g., for determining a distance between the physical object’s position 18 and the hazard’s position 13 or for determining whether or an extent to which the physical object 14 is in proximity to the hazard 12.
  • radio interference may decrease the accuracy with which the other radio signals may be measured. Accordingly, measuring the one or more kinematic properties of the physical object 14 my measuring radio signal(s) 22, 26 transmitted to or from the device 20 associated with the physical object 14 may come with the cost of increased radio interference and decreased measurement accuracy with respect to other physical objects in the hazardous environment 10.
  • the safety system 16 adapts one or more parameters 32 that govern measurement of the one or more kinematic properties of the physical 5 object 14.
  • Such parameter adaptation may advantageously balance the need to measure the one or more kinematic properties of the physical object 14 (for determining the risk of danger to the physical object 14) with the cost that comes with that measurement.
  • the safety system 16 may adapt the parameter(s) 32 based on a risk score 30 that reflects the extent to which the physical object 14 is in danger in the hazardous environment 10 10.
  • the risk score 30 may for instance be a function of at least one of the one or more kinematic properties of the physical object 14, e.g., the physical object's position 18 and/or the physical object's proximity to the hazard 12.
  • the risk score 30 according to some embodiments as shown is a numeric score between a maximum value (e.g., 5) and a minimum value (e.g., 1) that quantifies the level of risk to the physical object 14.
  • the risk score 30 as shown may increase the 15 closer the physical object 14 is in position or proximity to the hazard 12. In these and other embodiments, a greater numerical score may indicate greater risk to the physical object 14.
  • the safety system 16 may adapt the parameter(s) 32 to favor measuring the one or more kinematic properties with increased accuracy and/or decreased latency, with less regard for the 20 cost that may come with such measurement.
  • the safety system 16 may adapt the parameter(s) 32 to favor reducing the costs attributable to kinematic property measurement, albeit at the expense of decreased measurement accuracy and/or increased measurement latency.
  • the safety system 16 may adapt the parameter(s) 32 to decrease the power consumed by and/or the radio 25 interference generated by kinematic property measurement.
  • the safety system’s adaptation may advantageously exploit times during which the physical object 14 is in less danger as opportunities to conserve power and/or minimize radio interference. Indeed, it is during these times of less danger that any degradation in measurement accuracy and/or latency resulting from the adaptation poses the least risk to the physical object 14. But the 30 safety system 16 adaptively recognizes times during which the physical object 14 is in greater danger as moments when measurement accuracy and/or latency should not be compromised.
  • the one or more parameters 32 include a measurement frequency parameter that governs how often at least one of the one or more kinematic properties of the physical object 14 is measured.
  • the 35 safety system 16 configures the measurement frequency parameter for measuring at least one of the one or more kinematic properties more or less often depending respectively on whether the risk score 30 has increased or decreased since the measurement frequency parameter was last configured. Accordingly, as the risk score 30 increases, at least one of the one or more kinematic properties is measured more often; as the risk score 30 decreases, at least one of the one or more 5 kinematic properties is measured less often.
  • the safety system 16 may configure the measurement frequency parameter for measuring at least one of the one or more kinematic properties more or less often depending respectively on whether the risk score 30 is above or below a threshold.
  • the safety system’s adaptation of the measurement frequency parameter may advantageously improve the performance of the kinematic property measurement 10 as the risk of danger to the physical object 14 increases, e.g., by measuring at least one of the one or more kinematic properties more quickly (i.e., reduced latency) and/or by providing a greater number of measurements of at least one of the one or more kinematic properties within a given time frame.
  • the increased number of kinematic 15 property measurements within the given time frame may increase measurement accuracy. This may prove particularly advantageous for instance in hazardous environments where radio signals are often reflected or blocked, such as in manufacturing sites or mines.
  • the safety system’s adaptation of tire measurement frequency parameter may advantageously improve battery conservation and/or interference mitigation as the risk of danger to the physical object 14 20 decreases.
  • Table 1 illustrates one example relation between the risk score 30 and the measurement frequency parameter according to some embodiments.
  • the frequency with which the kinematic property measurement is performed increases monotonically with the risk score 30. This way, the accuracy and/or latency of the kinematic property measurement improves as the 25 risk to the physical object 14 increases.
  • Figure 2 visually illustrates the measurement frequency adjustment according to some embodiments where radio signals 22, 26 (e.g., messages) are exchanged in a two-way manner between the device 20 associated with the physical object 14 and either the fixed anchors 24 or 5 the device 28 associated with the hazard 12. As shown, the radio signal exchange occurs more frequentiy with a risk score of 5 than with a risk score of 1.
  • the one or more parameters 32 include a parameter that governs which one or more kinematic properties of the physical object 14 are measured.
  • the parameter may govern whether a position 18 of the physical object 14 is measured 10 or a proximity of the physical object 14 to the hazard 12 is measured.
  • the safety system 16 may configure the parameter for measuring the position 18 of the physical object or the proximity of the physical object 14 to the hazard 12, depending respectively on whether the risk score 30 is below or above a risk limit.
  • the position 18 of the physical object 14 may be measured, 15 e.g., by measuring radio signal(s) 22 between the device 20 and the fixed anchors 24. But if the risk score 30 is above the risk limit 34, the proximity of the physical object 14 to the hazard 12 may be measured directly, e.g., which may increase accuracy and/or decrease latency as compared to measurement using the fixed anchors 24.
  • Adapting the parametcr(s) 32 in these or other ways may prove advantageous for 20 prolonging the battery lifetime of the device 20 associated with the physical object 14 and/or keeping the device’s formfactor small and lightweight (e.g., for easy attachment to the physical object 14).
  • adapting the parameter(s) 32 in these or other ways may advantageously decrease radio interference given a certain de vice/ anchor deployment and/or enable denser device/anchor deployment.
  • the safety system 16 may still facilitate kinematic 25 measurements that are accurate enough even for safety-critical use-cases when the risk of danger to the physical object 14 justifies temporarily foregoing those advantages.
  • the risk score 30 in some embodiments may function as a unified measure for a given environment that reflects the extent of danger the physical object 14 is exposed to in the hazardous environment 10.
  • the 30 risk score 30 may be calculated or otherwise obtained based on any number or type of risk score inputs.
  • the risk score input(s) may include the one or more kinematic properties of the physical object 14 and/or one or more kinematic properties of one or more hazards in the hazardous environment.
  • the risk score input(s) may include any information that describes the hazardous environment 10, one or more hazards in the hazardous environment, 35 and/or the physical object 14.
  • the risk score input(s) may alternatively or additionally even include historical or predicted information, such as historical or predicted values for one or more kinematic properties of the physical object 14 and/or for one or more kinematic properties of one or more hazards.
  • Figure 5 shows one example for calculating the risk score 30 according to some embodiments.
  • the risk score 30 may be a function of a hazard descriptor 30A.
  • the hazard descriptor 30A may describe, for each of one or more hazards in the hazardous environment 10, a severity of danger risk posed by the hazard, a size of a danger zone around the hazard, a shape of the danger zone, and/or one or more specific directions in which the danger zone extends.
  • Figure 6 shows some examples of danger zones around various types of hazards, e.g., a crane 60, 10 copter 62, and forklift 64 have differently shaped danger zones 60A, 62A, and 64A.
  • the risk score 30 may be a function of current position information 30B, current speed information 30C, and/or current direction information 30D.
  • the current position information 30B may describe a current position of the physical object 14 and/or a current position of each of one or more hazards in the hazardous environment 10.
  • the current 15 speed information 30C may describe a current speed at which the physical object 14 is moving and/or a current speed at which each of one or more hazards in the hazardous environment 10 are moving.
  • the current direction information 30D may describe a current direction in which the physical object 14 is moving and/or a current direction in which each of one or more hazards in the hazardous environment 10 are moving.
  • the risk score 30 may alternatively or additionally be a function of movement history 30E and/or movement prediction 30F.
  • the movement history 30E may describe a history of movement of the physical object 14 and/or a history of movement of each of one or more hazards in the hazardous environment 10.
  • the movement prediction 30F may describe a prediction of how the physical object 14 will move in the future and/or a prediction of how each 25 of one or more hazards in the hazardous environment 10 will move in the future.
  • actual, historical, and/or predicted movement of the physical object 14 away from the hazard and/or the hazard’s danger zone may lessen the risk score 30.
  • the risk score in this example is an integer number between 1 and 5.
  • the rule set in Table 2A defines the risk score based on the distance between the physical object’s position and the hazard’s position (or danger zone boundary). A physical object within the hazard’s danger zone has the highest risk score, and the risk score 35 decreases as the distance increases.
  • the rule set in Table 2B defines the risk score based on the time that the physical object 14 will enter the hazard's danger zone, as extrapolated given the current relative speed and movement direction from the physical object 14 to the hazard. The shorter the time until the physical object 14 enters the hazard’s danger zone, the higher the risk score.
  • the rule set in Table 2C defines the risk score based on the time that the physical object 14 will enter the hazard’s danger zone, as predicted based on historical movement of the physical object 14 and/or of the hazard. The shorter the time predicted until the physical object 14 enters the hazard’s danger zone, the higher the risk score.
  • the risk score 30 may be calculated using a single one of the tables
  • the risk seme may be calculated using two or more of the tables 2A, 2B, or 2C.
  • the risk score 30 in one embodiment may be calculated as having the maximum value given to the risk score by any individual one of the tables 2A, 2B, or 2C. That is, if the risk score given by Table 2A is denoted scoreA, the risk seme given by Table 2B is scoreB, and the risk seme given by Table 2C is scoreC, then the risk score 30 may be calculated as having the maximum value given to the risk score by any individual one of the tables 2A, 2B, or 2C. That is, if the risk score given by Table 2A is denoted scoreA, the risk seme given by Table 2B is scoreB, and the risk seme given by Table 2C is scoreC, then the risk score 30 may
  • a hazard-specific risk score (not shown) may be 5 calculated separately for each individual hazard in the hazardous environment 10.
  • Multiple hazard-specific risk scores may be aggregated or otherwise combined to form the risk score 30 that reflects the overall extent of danger the physical object 14 is in given multiple hazards in the hazardous environment 10.
  • the risk score 30 may be calculated from multiple hazard-specific risk scores as being a maximum one of the hazard-specific risk scores.
  • the safety system’s parameter adaptation as described above may be carried out or otherwise accompanied by the safety system 16 transmitting configuration signalling 40 that configures measurement of the one or more kinematic properties of the physical object 14 according to the parameter(s) 32 as adapted.
  • configuration signalling 40 may for instance be transmitted to the device 20 associated with the physical object, tire device 15 28 associated with the hazard 12, the fixed anchors 24, and/or any other entity which is involved in measurement of the physical object’s kinematic properties.
  • Figure 4 shows one example according to some embodiments.
  • the safety system 16 may transmit, to the device 20 associated with tire physical object 14, control signalling that indicates an initial configuration 42 of the one 20 or more parameters 32 that govern measurement of the one or more kinematic properties of the physical object 14.
  • the device 20 may then perform an initial measurement procedure 44 for measuring the one or more kinematic properties according to the initial configuration of the parameter(s) 32.
  • This initial measurement procedure 44 as shown may involve exchanging radio signals with the device 28 associated with the hazard 12 and/or with the fixed anchors 24.
  • the 25 device 20 associated with the physical object 14 may then respond with the result(s) 46 of the initial measurement procedure 44.
  • the safety system 16 calculates the risk score 30 (Block 48).
  • the safety system 16 adapts the parameter(s) 32 that govern measurement of the one or more kinematic properties of the physical object 14 (Block 50).
  • the safety system 16 may then transmit, to the device 20 associated with the physical object 14, control signalling that indicates an adapted configuration 52 of the one or more parameters 32.
  • the device 20 may then perform an adapted measurement procedure 56 for measuring the one or more kinematic properties according to the adapted configuration 52 of the parameter(s) 32.
  • This adapted measurement procedure 56 as shown may 5 involve exchanging radio signals with the device 28 associated with the hazard 12 and/or with the fixed anchors 24, which may or may not be different than the initial measurement procedure 44.
  • the device 20 associated with the physical object 14 may then respond with the result(s) 58 of the adapted measurement procedure 56.
  • safety system 16 herein may be implemented or hosted on infrastructure 10 such as one or more servers, either locally to the hazardous environment 10, centrally at a location common to multiple hazardous environments, or remotely in the cloud.
  • infrastructure 10 such as one or more servers, either locally to the hazardous environment 10, centrally at a location common to multiple hazardous environments, or remotely in the cloud.
  • safety system 16 in some embodiments may be responsible for not only safeguarding the physical object 14, but also for system monitoring, maintenance, management and control of devices, location awareness, and/or alarm monitoring.
  • the safety system 16 may integrally incorporate kinematic measurement functionality.
  • kinematic measurement involves positioning and/or proximity awareness
  • precise positioning and/or proximity awareness may be made an integral part of the safety system 16, rather than the positioning and/or proximity system being a separate entity.
  • kinematic measurement adaptation may be provided or otherwise facilitated by the safety system 16.
  • kinematic measurements such as location and/or proximity measurements may be performed by the safety system 16 or another system (Block 70).
  • the risk 25 score 30 is calculated by the safety system 16 (Block 72).
  • the risk score 30 is provided as feedback to kinematic measurement functionality, so as to create a control loop.
  • the measurement parameter(s) 32 may be adapted (Block 74) based on the risk score 30; that is, based on the actual risk to the physical object 14.
  • the measurement parameter(s) 32 may more particularly be controlled in a way that the safety system 16 remains reliable (e.g., low 30 battery usage, low radio interference) and performant (highly accurate, low-latency) at the same time.
  • Figure 8 depicts a method performed by the safety system 16 for safeguarding a physical object 14 (e.g., a piece of equipment or a person) in a hazardous environment 10 in accordance with particular embodiments.
  • the method 35 includes obtaining a risk score 30 that reflects an extent to which the physical object 14 is in danger in the hazardous environment 10 (Block 100).
  • the one or more kinematic properties of the physical object 14 include one or more of: (i) a position of the physical object 14 in the hazardous environment 10; (ii) a proximity of the physical object 14 to a hazard 12 in the hazardous environment 10; or (iii) a distance between the physical object 14 5 and a hazard 12 in the hazardous environment 10.
  • the one or more kinematic properties of the physical object 14 include one or more of: (i) a speed of the physical object 14 in the hazardous environment 10; (ii) a direction of movement of the physical object 14 in the hazardous environment 10; or (iii) an amount of time before the physical object 14 will be within a zone of danger in the hazardous environment 10.
  • the method as shown may further include, based on the risk score 30, adapting one or more parameters 32 that govern measurement of one or more kinematic properties of the physical object 14 in the hazardous environment 10 (Block 110).
  • the one or more parameters 32 include a measurement frequency parameter that governs how often at least one of the one or more kinematic properties of the 15 physical object 14 is measured.
  • adaptation may comprise configuring the measurement frequency parameter for measuring at least one of the one or more kinematic properties more or less often depending respectively on whether the risk score 30 has increased or decreased since the measurement frequency parameter was last configured.
  • such adaptation may include configuring the measurement frequency parameter for measuring at 20 least one of the one or more kinematic properties more or less often depending respectively on whether the risk score 30 is above or below a threshold.
  • the one or more parameters 32 include a parameter that governs which one or more kinematic properties of the physical object 14 are measured.
  • the parameter may govern whether a position of the physical object 14 is measured or a proximity of 25 the physical object 14 to a hazard 12 is measured.
  • adaptation of the parameter may comprise configuring the parameter for measuring the position of the physical object 14 or the proximity of the physical object 14 to the hazard 12, depending respectively on whether the risk score 30 is below or above a risk limit.
  • the measurement of the one or more kinematic 30 properties of the physical object 14 is based on measurement of one or more radio signals transmitted to or from a radio device associated with the physical object 14.
  • the risk score may be a function of at least one of the one or more kinematic properties of the physical object 14.
  • adaptation in these or other embodiments may adapt the one or more 35 parameters to increase an accuracy of and/or decrease a latency of measurement of the one or more kinematic properties as the risk score 30 increases.
  • the one or more parameters 32 may be adapted to decrease power consumed by and/or radio interference generated by measurement of the one or more kinematic properties as the risk score 30 decreases.
  • Figure 8 shows that the method may further include transmitting, to a device 20 associated with the physical object 14, configuration signalling that configures the device 20 to perform measurement of at least one of the one or more kinematic properties according to the one or more parameters 32 as adapted (Block 120).
  • the method may further comprise determining, based on the one or more kinematic properties of the physical 10 object 14, whether to perform one or more actions to safeguard the physical object 14 in the hazardous environment 10 (Block 130). The method may then include performing or not performing the one or more actions depending on that determination (Block 140).
  • the safety system 16 described above may perform the methods herein and any other processing by implementing any functional means, modules, units, or circuitry.
  • the safety system 16 comprises respective circuits or circuitry configured to perform the steps shown in Figure 8.
  • the circuits or circuitry in this regard may comprise circuits dedicated to performing certain functional processing and/or one or more microprocessors in conjunction with memory.
  • the circuitry may include one or more microprocessor or microcontrollers, as well as other digital hardware, which may include 20 digital signal processors (DSPs), special-purpose digital logic, and the like.
  • DSPs digital signal processors
  • the processing circuitry may be configured to execute program code stored in memory, which may include one or several types of memory such as read-only memory (ROM), random-access memory, cache memory, flash memory devices, optical storage devices, etc.
  • Program code stared in memory may include program instructions for executing one or more telecommunications and/or data 25 communications protocols as well as instructions for carrying out one or more of the techniques described herein, in several embodiments, n embodiments that employ memory, the memory stores program code that, when executed by the one or more processors, carries out the techniques described herein.
  • FIG. 9 illustrates the safety system 16 as implemented in accordance with one or more 30 embodiments.
  • the safety system 16 includes processing circuitry 910 and communication circuitry 920.
  • the communication circuitry 920 is configured to transmit and/or receive information to and/or from one or more other nodes, e.g., via any communication technology.
  • the processing circuitry 910 is configured to perform processing described above, e.g., in Figure 8, such as by executing instructions stored in memory 930.
  • the processing 35 circuitry 910 in this regard may implement certain functional means, units, or modules. Those skilled in the art will also appreciate that embodiments herein further include corresponding computer programs.
  • a computer program comprises instructions which, when executed on at least one processor of the safety system 16, cause the safety system 16 to carry out any of the respective 5 processing described above.
  • a computer program in this regard may comprise one or more code modules corresponding to the means or units described above.
  • Embodiments further include a carrier containing such a computer program.
  • This carrier may comprise one of an electronic signal, optical signal, radio signal, or computer readable storage medium
  • embodiments herein also include a computer program product stored on a non-transitory computer readable (storage or recording) medium and comprising instructions that, when executed by a processor of the safety system 16, cause the safety system 16 to perform as described above.
  • Embodiments further include a computer program product comprising program code 15 portions for performing the steps of any of the embodiments herein when the computer program product is executed by a computing device.
  • This computer program product may be stored on a computer readable recording medium.
  • the term unit may have conventional meaning in the field of electronics, electrical devices and/or electronic devices and may include, for example, electrical and/or electronic circuitry, devices, modules, processors, memories, logic solid state and/or discrete devices, computer programs or instructions for carrying out respective tasks, procedures, computations, outputs, and/or displaying functions, and so on, as such as those that are described herein.

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  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Emergency Alarm Devices (AREA)

Abstract

L'invention concerne un système de sécurité (16) destiné à protéger un objet physique (14) dans un environnement dangereux (10). Le système de sécurité (16) obtient une cote de risque (30) reflétant à quel point l'objet physique (14) est en danger dans l'environnement dangereux (10). En fonction de la cote de risque (30), le système de sécurité (16) adapte un ou plusieurs paramètres (32) destinés à régir la mesure d'une ou plusieurs propriétés cinématiques de l'objet physique (14) dans l'environnement dangereux (10).
PCT/IB2019/057354 2019-08-30 2019-08-30 Système de sécurité adaptatif pour environnement dangereux WO2021038282A1 (fr)

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PCT/IB2019/057354 WO2021038282A1 (fr) 2019-08-30 2019-08-30 Système de sécurité adaptatif pour environnement dangereux

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007085330A1 (fr) * 2006-01-30 2007-08-02 Abb Ab Procédé et système permettant la supervision d'une zone de travail comportant un robot industriel
US20070236352A1 (en) * 2006-03-30 2007-10-11 Allen Lloyd W Jr Warning of hazardous conditions in monitored spaces using RFID technology
US20100289662A1 (en) * 2008-01-11 2010-11-18 John Dasilva Personnel safety utilizing time variable frequencies

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007085330A1 (fr) * 2006-01-30 2007-08-02 Abb Ab Procédé et système permettant la supervision d'une zone de travail comportant un robot industriel
US20070236352A1 (en) * 2006-03-30 2007-10-11 Allen Lloyd W Jr Warning of hazardous conditions in monitored spaces using RFID technology
US20100289662A1 (en) * 2008-01-11 2010-11-18 John Dasilva Personnel safety utilizing time variable frequencies

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