Method of controlling a cable transport system and said cable transport system

Abstract

Control method of a cable transport system, preferably aerial; the cable transport system (1) comprising at least two boarding and / or disembarking stations (3), a traction cable (2) extending along a preferably looped path (P), and at least one transport unit (8) moved by the traction cable (2); the control method comprising a configuration mode and an operating mode, in which in the configuration mode, an artificial intelligence system and / or a mathematical model and / or a table and / or a function and / or an algorithm is defined, which describes the oscillations of the vehicle as a function of the wind measured and the position and speed of the vehicle detected at a given instant and in which, in the operating mode, the oscillations of the transport unit (8) are estimated by means of said artificial intelligence system and / or mathematical model and / or table and / or function and / or algorithm.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS

[0001] This patent application claims priority from Italian patent application no. 102024000024195, filed on October 29, 2024, the entire disclosure of which is incorporated herein by reference.TECHNICAL FIELD

[0002] The present invention relates to a method of controlling a cable transport system. The present invention also relates to said cable transport system, preferably aerial.PRIOR ART

[0003] As known, aerial cable transport systems are used in skiing / mountain resorts, in which the aerial cable transport systems are called ski lifts. However, aerial cable transport systems are also advantageously applied in urban contexts where ground transport is congested.

[0004] In the currently known aerial cable transport systems, the passengers and / or sports equipment are transported along a predefined path by means of one or more transport units moved one after the other between two terminal stations, also known as top and bottom stations, situated at the ends of the transport system and in which passengers safely board onto and disembark from the transport units. In some cases, one or more intermediate stations are present between the top station and the bottom station.

[0005] Furthermore, the cable transport systems can also transport goods and / or construction materials.

[0006] In particular, the term "aerial" refers to cable transport systems on which the transport units are moved and supported by at least one cable in a raised position relative to the underlying ground or relative to other underlying structures, if there are any.

[0007] By way of example, the transport systems can be chair lifts, in which each transport unit comprises a chair for accommodating one or more passengers, or cable cars, in which each transport unit comprises a cabin for accommodating one or more passengers. In one embodiment, the transport system comprises both one or more seats and one or more cabins, such cable transport system also being known as a telemix.

[0008] The currently known aerial cable transport systems can be of the "single-cable" type, in which the main cable also performs the function of traction cable, or can be of the "two-cable" and "three-cable" type, in which, in addition to the traction cable, one or two main cables are respectively present.

[0009] When the system is operating, the transport units are subjected to oscillating movements transverse to the direction of travel, due to the air currents that hit them and, in particular, dependent upon the direction and speed of such air currents and, in general, upon the wind. Particularly for single-cable systems, in the case of strong wind, such oscillations can be very dangerous, because they can cause collision of the transport units with the supports and / or pylons situated along the path and / or with the structural elements of the station and / or with other transport units which are travelling in the opposite direction. These collisions can result in material damage and, above all, a risk for the passengers.

[0010] In general, the stations are permanently supervised by an operator during functioning of the cable transport system. Each operator of each station must monitor the correct functioning of the system and the weather conditions, so as to act on said system by slowing the speed of advancement of the transport units and / or stopping advancement of the transport units based on functioning of the system and / or the events that the operator detects. In particular, the operator has the task of controlling the cable system also based on the extent of the oscillations of the transport units caused by the wind.

[0011] One of the drawbacks of the prior art is due to the fact that the operator might not notice, or notice late, an excessive oscillation of the transport units and, consequently, not act on the system in an opportune or prompt manner. Furthermore, this problem is accentuated in the case of poor visibility, such as, for example, in the presence of fog or snow.

[0012] Another drawback is due to the fact that the presence of an operator in each station means the system has a high operating cost, due to the hourly cost of each operator in each station of the system. Furthermore, such operators are difficult to find.SUMMARY OF THE INVENTION

[0013] An object of the present invention is to obtain a method for controlling a cable transport system that reduces or solves at least one of the drawbacks indicated here above.

[0014] In accordance with the present invention, a method for controlling a cable transport system, preferably aerial, is obtained according to one of claims 1 to 7.

[0015] In one embodiment, the control method comprises a configuration mode and an operating mode; in which in the configuration mode, an artificial intelligence system and / or a mathematical model and / or a table and / or a function and / or an algorithm is defined, which describes the oscillations of the vehicle as a function of the wind measured at one or more fixed points of the system and the position and speed of the transport unit detected at a given instant; and in which, in the operating mode, the oscillations of the transport unit are estimated by means of said artificial intelligence system and / or mathematical model and / or table and / or function and / or algorithm.

[0016] In one embodiment, the control method comprises a configuration mode and an operating mode, in which in the configuration mode, an artificial intelligence system and / or a mathematical model and / or a table and / or a function and / or an algorithm is defined to estimate the oscillations of the transport unit as a function of the wind and is defined using an inclination and / or oscillation sensor assembly installed on board the transport units and correlating the inclinations and / or oscillations detected to the wind measured with at least one wind sensor assembly installed in at least one fixed point of the system; and in which in the operating mode, the oscillations of the transport unit are estimated based on said artificial intelligence system and / or mathematical model and / or table and / or function and / or algorithm and defined during the configuration mode, without using an inclination and / or oscillation sensor assembly on board the transport units, but only on the basis of the wind measured by at least one wind sensor assembly.

[0017] Thanks to the present invention, it is possible to control the cable transport system during operation, taking account of the oscillations of the transport units caused by the wind, without the need to measure such oscillations directly by means of the sensors on board the transport units.

[0018] In other words, thanks to the present invention, during the operating mode it is possible to estimate the oscillations of the transport unit without the need to have an inclination and / or oscillation sensor assembly on board the transport unit and therefore without the need for communication between vehicle and station, thanks to the use of at least one wind sensor assembly installed in at least one fixed point of the system and to the artificial intelligence system and / or the mathematical model and / or the table and / or the function and / or the algorithm to estimate the oscillations of the transport unit defined during the configuration mode.

[0019] Another object of the present invention is to obtain a cable transport system that reduces or solves at least one of the drawbacks indicated here above.

[0020] In accordance with the present invention, a cable transport system, preferably aerial, is obtained according to one of claims 8 to 14.BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Further characteristics and advantages of the present invention are defined in the appended claims and will become apparent from the following description of a non-limiting embodiment thereof, with reference to the appended drawings, wherein: Figure 1 is a side schematic view, with parts removed for clarity, of an aerial cable transport system in accordance with the present invention; Figure 2 is another schematic view from above, with parts removed for clarity, of the cable transport system of Figure 1; Figure 3 is a block diagram of a portion of the cable transport system in the configuration mode; and Figure 4 is a block diagram of a portion of the cable transport system in the operating mode. DETAILED DESCRIPTION OF THE INVENTION

[0022] With reference to Figure 1, the reference number 1 indicates a cable transport system, in particular an aerial one.

[0023] In the non-limiting case of the present invention described and illustrated here, the transport system 1 is the single-cable type and comprises a single cable 2 that performs the dual function of traction cable and main cable and extends along a path, preferably looped, wound around two pulleys 4, of which at least one is motorised (Figure 2).

[0024] In accordance with further embodiments, not shown in the appended drawings, the transport system 1 can be the "two-cable" and "three-cable" type, in which the transport system 1 comprises, in addition to the traction cable, respectively one or two main cables.

[0025] In one embodiment, the cable transport system can be the fixed grip or automatic grip type. In this second case, the transport units are detached from the traction cable when they enter the station and are made to advance along the station, by means of an auxiliary movement device, and are then reattached to the traction cable, before leaving the station.

[0026] The transport system 1 comprises at least two boarding and / or disembarking stations 3. In particular, the cable transport system 1 comprises respective pulleys (not shown), of which at least one is motorised, which are preferably housed in the boarding and / or disembarking stations 3.

[0027] In one embodiment, the cable transport system 1 can comprise one or more intermediate stations.

[0028] The transport system 1 comprises at least one transport unit 8 moved by the traction cable, preferably along a circular path P.

[0029] The transport system 1 operates according to a first and / or a second operating mode, preferably in different time periods, in particular a configuration mode and an operating mode.

[0030] Preferably, the transport system 1 operates first according to a configuration mode and subsequently according to an operating mode.

[0031] In the configuration mode, an artificial intelligence system and / or a mathematical model and / or a table and / or a function and / or an algorithm is defined that correlates the inclinations and / or oscillations of the transport unit 8 detected and / or measured to the wind detected in at least one fixed point of the system, to be used in the operating mode to estimate the oscillations of the transport unit as a function of the wind.

[0032] In other words, in the configuration mode, the artificial intelligence system and / or the mathematical model and / or the table and / or a function and / or the algorithm is defined, using a sensor on board the transport unit, such as, for example, an accelerometer and / or an inclinometer. Such artificial intelligence system and / or mathematical model and / or table and / or function and / or algorithm is then used during the operating mode to estimate the oscillations of the transport unit without using sensors on board the transport unit, such as, for example, an accelerometer and / or an inclinometer.

[0033] In greater detail, such detected inclinations and / or oscillations of the transport unit 8 are correlated to a wind parameter, in particular speed and / or direction, detected by means of at least one wind sensor assembly 10 installed in at least one respective fixed point of the cable transport system 1 or close to it and / or by means of the weather information.

[0034] In one embodiment, the wind sensor assembly 10 can comprise an anemometer and / or an anemoscope.

[0035] Furthermore, such detected inclinations and / or oscillations of the transport unit 8 are also correlated to the position and / or to the speed of the transport unit 8 along said path P.

[0036] In a preferred but non-limiting embodiment of the present invention, such detected inclinations and / or oscillations are also correlated to at least one wind parameter detected by means of at least one wind sensor assembly 12 installed on at least one transport unit 8.

[0037] In one embodiment, the wind sensor assembly 12 can comprise an anemometer and / or an anemoscope.

[0038] With reference to Figure 3, in greater detail, during the configuration mode the cable transport system 1 comprises: an inclination and / or oscillation sensor assembly 14 installed on the transport unit 8; the at least one wind sensor assembly 10 installed in the at least one fixed point of the cable transport system 1 and / or a weather information reception unit 16; a position and / or speed sensor assembly 20 to detect the position and / or the speed of the transport unit 8 along the path P; a processing unit 50.

[0039] The inclination and / or oscillation sensor assembly 14 is configured to detect an inclination and / or an oscillation of the transport unit 8 transverse, preferably perpendicular, to the direction of travel. Preferably, the inclination sensor assembly 14 is an inclinometer and / or a gyroscope and / or an accelerometer.

[0040] Preferably, the at least one wind sensor assembly 10 detects at least one wind parameter, preferably wind speed and / or direction.

[0041] Preferably, the position and / or speed sensor assembly 20 comprises at least one encoder installed on at least one of the two pulleys 4 of the transport system 1 and preferably a position sensor, which detects when a transport unit 8 leaves one of the stations.

[0042] In greater detail, in one embodiment of the present invention, the speed of the transport unit 8 is the one of the cable detected by the encoder, whereas the position of each transport unit 8 is estimated indirectly starting from the speed and from the instant in which the transport unit 8 leaves one of the stations, which is detected by a proximity sensor installed at the exit of the station.

[0043] Furthermore, in an optional embodiment during the configuration mode, the transport system 1 also comprises a sensor assembly 12 installed on the transport unit 8 and configured to measure at least one wind parameter, preferably wind speed and / or direction. Such sensor unit 12 allows it to be determined to what extent and how the wind affects the transport unit 8 promptly along the path. Consequently, in such an embodiment, the processing unit 50 is coupled in communication with and receives the data from the wind sensor assembly 12 and, also based on such data, defines the artificial intelligence system and / or the mathematical model and / or the table and / or the function and / or the algorithm.

[0044] In fact, the oscillation of the transport unit 8 does not follow a linear function that can be estimated a priori relative to the wind, because the precise conformation of the place in which the cable transport system operates also has an influence, as this causes the action of the wind on the transport unit 8 to vary. In particular, the effect of the wind on the transport units 8 can vary a great deal along the path, based on the topographical features, which can vary a great deal along the path of the transport units 8. In such an embodiment, therefore, the artificial intelligence system and / or the mathematical model and / or the table and / or the function and / or the algorithm defined during the configuration step will also be based on the data from the wind sensor assembly 12 installed on the transport unit 8 and consequently will also take account of how the wind acts on the transport units 8 depending on the topographical features of the point at which the transport unit 8 is located.

[0045] With reference to Figures 1 to 3, the transport units 8 are moved and the processing unit 50 is coupled in communication with and receives the data from the inclination and / or oscillation sensor assembly 14, from the wind sensor assembly 10 and from the position and / or speed sensor 20 and, based on such information, defines the artificial intelligence system and / or the mathematical model and / or the table and / or the function and / or the algorithm.

[0046] In other words, in the configuration mode, the transport units 8 are moved and the processing unit 50 receives the data from the various sensors. In such configuration mode, the artificial intelligence system and / or the mathematical model and / or the table and / or the function and / or the algorithm is defined and will be used in the operating mode to estimate the oscillations of the transport unit 8 starting from the wind direction / speed detected by means of the at least one wind sensor assembly 10, installed in the at least one fixed point of the system 1, or from the weather information received from the reception unit 16 and from the position / speed of the transport unit 8. Said artificial intelligence system and / or mathematical model and / or table and / or function and / or algorithm is defined during the configuration mode on the basis of the data from the inclination and / or oscillation sensor assembly 14 installed on the transport unit 8; of the wind data measured by means of the at least one wind sensor assembly 10 or by means of weather information received from the reception unit 16, of the data from the position and speed sensor assembly 20 of the transport unit 8 and optionally on the basis of the data from the wind sensor assembly 12.

[0047] In a preferred but non-limiting embodiment of the present invention, the artificial intelligence system is defined through a machine learning algorithm.

[0048] In a preferred but non-limiting embodiment of the present invention, the mathematical model and / or the table and / or the function and / or the algorithm is defined analytically, preferably empirically, and / or through a stochastic or deterministic model.

[0049] In a preferred but non-limiting embodiment of the present invention, during the configuration mode the cable transport system 1 comprises a measurement and / or estimation system 40 of the load on the transport unit 8. In that case, the processing unit 50 is coupled in communication with the measurement and / or estimation system 40 and is configured to define the artificial intelligence system and / or the mathematical model and / or the table and / or the function and / or the algorithm based on the load of the transport unit 8.

[0050] In one embodiment, the measurement and / or estimation system 40 comprises a video camera, which detects how many people board each transport unit 8 and estimates the load on each transport unit 8 based on the people who have boarded said transport unit 8.

[0051] In one embodiment, the measurement and / or estimation system 40 comprises a weight and / or pressure sensor installed on board the transport unit 8 or in the boarding zone to detect the load on each transport unit 8.

[0052] Once the artificial intelligence system and / or the mathematical model and / or the table and / or the function and / or the algorithm has been defined, the configuration mode is terminated and the transport system 1 can operate in accordance with the operating mode.

[0053] In a preferred but non-limiting embodiment of the present invention, before the artificial intelligence system and / or the mathematical model and / or the table and / or the function and / or the algorithm is used in the operating mode, a validation step is envisaged to check the correct functioning thereof.

[0054] Furthermore, before passing into operating mode, the inclination and / or oscillation sensor assembly 14 installed on the transport unit 8 can be disassembled from the cable transport system, since, in operating mode, the transport system 1 operates without such sensor assembly 14. Furthermore, in the embodiment in which the wind sensor assembly 12 is present, such wind sensor assembly 12 can also be disassembled from the cable transport system, before starting to operate in the operating mode.

[0055] In the embodiment in which the load sensor assembly 40 is present, such sensor assembly 40 can be disassembled after the configuration mode or can be left and used also in the operating mode.

[0056] Lastly, in the configuration mode the data detected by the sensor assemblies installed on the transport unit 8 can be stored on a memory of the respective sensor or on a memory of the transport unit and be processed by the processing unit 50 at a later time. Preferably, said memories can be fixed or removable.

[0057] In another embodiment, in the configuration mode, one or more of the sensor assemblies 12, 14 and 40, are coupled in communication by means of a wireless network to the processing unit 50.

[0058] With reference to Figure 4, in the operating mode, the transport system 1 comprises: the at least one wind sensor assembly 10 installed in at least one fixed point of the system; the position and / or speed sensor 20; and a control unit 100 coupled in communication with the at least one sensor assembly 10 and / or with the weather information reception unit 16, and with the position and / or speed sensor 20 to receive the data from said sensors. Furthermore, the control unit 100 comprises the artificial intelligence system and / or the mathematical model and / or the table and / or the function and / or the algorithm defined in the preceding configuration step.

[0059] In greater detail, when the cable transport system 1 operates in operating mode, the control unit 100 estimates the oscillations of the transport unit 8 based on the detected data of the at least one wind parameter received from the at least one wind sensor assembly 10 and / or from the weather information reception unit 16 and on the detected position and / or speed of the transport unit 8 received from the position and / or speed sensor 20, by means of the artificial intelligence system and / or the mathematical model and / or the table and / or the function and / or the algorithm defined previously during the configuration mode.

[0060] In a preferred but non-limiting embodiment of the present invention, in the operating mode the transport system 1 comprises the load measurement and / or estimation system 40 of the transport unit 8 and the control unit 100 is coupled in communication with the measurement and / or estimation system 40 and estimates the oscillations that occur on the transport unit 8, also based on the load detected and / or estimated on the transport unit 8.

[0061] In a non-limiting embodiment of the present invention, preferably in operating mode, the control unit 100 slows down and / or stops the movement of the transport units 8 when the estimated oscillation is greater than a certain threshold, preferably the certain threshold is a function of the position of the transport unit 8 along the path P. In this manner, account is taken of the position of the structural supports of the cable transport system 1 that support the cable along the path, the structural elements of the stations and other possible criticalities along the path.

[0062] In a non-limiting embodiment of the present invention, the transport system 1, preferably the control unit 100, is configured to issue an alarm signal, and preferably activate a light and / or sound signal by means of the alarm signal, when the estimated oscillation is greater than a certain threshold, preferably the certain threshold is a function of the position of the transport unit 8 along the path P.

[0063] In another non-limiting embodiment of the present invention, the control unit 100 comprises two thresholds relating to the estimated oscillation, a first threshold lower than a second threshold. When the estimated oscillation is greater than the first threshold, a reduction in the advancement speed of the transport units and / or a light and / or sound signal is activated, when the oscillation exceeds the second threshold, the system 1 is arrested.

[0064] In one embodiment, the system comprises a screen coupled in communication with the control unit 100, where the alarm and / or arrest messages relating to exceeding of one or more of the aforesaid thresholds are displayed.

[0065] In one embodiment, the invention comprises a computer program configured to control a cable transport system 1 and directly loadable into a memory of a control unit 100 to perform the operations indicated here above when the program is implemented by the control unit 100.

[0066] In one embodiment, the invention comprises a program product comprising a readable medium on which the program defined here above is stored.

[0067] In one embodiment, the processing unit 50 is the same or partly the same as the control unit 100.

[0068] Lastly, it is clear that variants can be made to the present invention without thus deviating from the scope of protection of the appended claims.

Claims

1. Method for controlling an aerial cable transport system; the aerial cable transport system (1) comprising at least two boarding and / or disembarking stations (3), a traction cable (2) extending along a preferably looped path (P), and at least one transport unit (8) moved by the traction cable (2) along the path (P); the control method comprising an operating mode including the steps of: - detecting at least one wind parameter, preferably wind speed and / or direction, through at least one first wind sensor assembly (10) installed at least at one fixed point of the cable transport system (1) or near it and / or through weather information, preferably the wind sensor assembly (10) is not installed on the transport unit (8); - detecting the position and / or speed of the transport unit (8) along the said path (P); - estimating the inclinations and / or oscillations, preferably transverse to the direction of travel, of the transport unit (8) based on the detected wind parameter, the detected position and / or speed of the transport unit (8), and based on an artificial intelligence system and / or a mathematical model and / or a table and / or a function and / or an algorithm preferably defined during a previous configuration mode.

2. Control method of claim 1; the method comprising the configuration mode in which the mathematical model and / or the table and / or the function and / or the algorithm and / or the artificial intelligence system is defined; in which this configuration mode includes the sub-steps of: - preferably detecting at least one wind parameter, preferably wind speed and / or direction, through a second wind sensor assembly (12) installed on the transport unit (8); - detecting an inclination and / or oscillation of the transport unit (8) preferably transverse to the direction of travel through an inclination sensor assembly (14) installed on the transport unit (8); - detecting at least one wind parameter, preferably wind speed and / or direction, through at least one first wind sensor assembly (10) installed at least at one fixed point of the cable transport system (1) or near it and / or through weather information; - detecting the position and / or speed of the transport unit (8) along the said path (P); - defining the artificial intelligence system and / or the mathematical model and / or the table and / or the function and / or the algorithm based on the detected inclinations and / or oscillations of the transport unit (8), based on the wind parameter detected through at least one first wind sensor assembly (10) and / or through weather information, based on the position and / or speed of the transport unit (8) along the said path (P), and preferably based on at least one wind parameter detected through the second wind sensor assembly (12).

3. Control method of claim 1 or 2; in which the artificial intelligence system is defined through a machine learning algorithm.

4. Control method of any of the preceding claims; in which the mathematical model and / or the table and / or the function and / or the algorithm is defined empirically and / or through a stochastic or deterministic model.

5. Control method of any of the preceding claims; comprising the step of estimating and / or measuring the load on the transport units (8) during the configuration mode and defining the artificial intelligence system and / or the mathematical model and / or the table and / or the function and / or the algorithm based on the load of the transport units (8); in which in the operating mode the method comprises the step of estimating and / or measuring the load of the transport units (8) and estimating the oscillations of the transport unit (8) based on the detected load of the transport units (8).

6. Control method of any of the preceding claims; comprising the step of slowing down and / or stopping the movement of the transport units (8) when the estimated oscillation is greater than a certain threshold, preferably the certain threshold is a function of the position of the transport unit (8) along the path (P).

7. Control method of any of the preceding claims; comprising the step of issuing an alarm signal, and preferably activating a light and / or sound signal through the alarm signal, when the estimated oscillation is greater than a certain threshold, preferably the certain threshold is a function of the position of the transport unit (8) along the path (P).

8. Cable transport system, preferably aerial; comprising at least two boarding and / or disembarking stations (3), a traction cable (2) extending along a preferably looped path (P) wrapped around two pulleys, one of which is motorized, and at least one transport unit (8) moved by the traction cable (2) preferably along the circular path; in which the cable transport system, when operating in an operating mode, comprises: - at least one first wind sensor assembly (10) installed at least at one fixed point of the cable transport system (1) or near it and / or a weather information reception unit (16) to detect at least one wind parameter, preferably wind speed and / or direction, preferably the first wind sensor assembly (10) is not installed on the transport unit (8); - a position and / or speed sensor assembly (20), preferably comprising at least one encoder installed on one of the two pulleys, to detect the position and / or speed of the transport unit (8) along the said path (P); and - a control unit (100) communicatively coupled with at least one first wind sensor assembly (10) and / or a weather information reception unit, to receive at least one wind parameter; in which, when the cable transport system (1) operates in the operating mode, the control unit (100) is communicatively coupled with the position and / or speed sensor assembly (20) to receive the position and / or speed of the transport unit (8); in which the control unit (100) is configured to estimate the oscillations and / or inclinations, preferably transverse to the direction of travel, of the transport unit (8) based on the detected wind parameter, the detected position and / or speed of the transport unit (8), and based on an artificial intelligence system and / or a mathematical model and / or a table and / or a function and / or an algorithm preferably defined during a previous configuration mode.

9. Cable transport system of claim 8, in which during the configuration mode preferably different from the operating mode, the cable transport system (1) comprises: - preferably a second wind sensor assembly (12) installed on the transport unit (8) configured to detect at least one wind parameter, preferably wind speed and / or direction; - an inclination sensor assembly (14) installed on the transport unit (8), configured to detect an inclination and / or oscillation of the transport unit (8) preferably transverse to the direction of travel; - at least one wind sensor assembly (10) installed at least at one fixed point of the cable transport system (1) or near it and / or the weather information receiver to detect at least one wind parameter, preferably wind speed and / or direction, preferably the first wind sensor assembly (10) is not installed on the transport unit (8); - the position and / or speed sensor assembly (20), preferably with at least one encoder installed on one of the two pulleys, to detect the position and / or speed of the transport unit (8) along the said path (P); - a processing unit (50) configured to define the artificial intelligence system and / or the mathematical model and / or the table and / or the function and / or the algorithm based on the inclinations and / or oscillations of the transport unit (8), based on at least one wind parameter detected through at least one first wind sensor assembly (10), and based on the position and / or speed of the transport unit (8) along the said path (P), preferably the processing unit (50) being the same or partly the same as the control unit (100).

10. Cable transport system of claim 8 or 9, in which the artificial intelligence system is defined through a machine learning algorithm; and / or the mathematical model and / or the table and / or the function and / or the algorithm is defined analytically preferably empirically and / or through a stochastic or deterministic model.

11. Cable transport system of any of claims 8 to 10, comprising a load measurement and / or estimation system (40) on the transport units (8), in which during the configuration mode, the processing unit (100) is configured to define the artificial intelligence system and / or the mathematical model and / or the table and / or the function and / or the algorithm based on the load of the transport units (8); in which in the operating mode the control unit (100) is configured to estimate the oscillations of the transport unit (8) based on the detected load on the transport units (8).

12. Cable transport system of any of claims 8 to 11; in which, preferably in the operating mode, the control unit (100) is configured to slow down and / or stop the movement of the transport units (8) when the estimated oscillation is greater than a certain threshold, preferably the certain threshold is a function of the position of the transport unit (8) along the path (P).

13. Cable transport system of any of claims 8 to 12; in which the transport system (1), preferably the control unit (100), is configured to issue an alarm signal and preferably activate a light and / or sound signal when the estimated oscillation is greater than a certain threshold, preferably the certain threshold is a function of the position of the transport unit (8) along the path (P).

14. A computer program configured to control a cable transport system (1) and directly loadable into a memory of a control unit (100) to perform the steps of the method of any of claims 1 to 7 when the program is implemented by the control unit (100).

15. A program product comprising a readable medium on which the program of claim 14 is stored.

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