Cableway transportation method, device and equipment for large height difference area and storage medium

Abstract

The invention discloses a cableway transportation method, device and equipment for a large height difference area and a storage medium, and relates to the technical field of photovoltaic transportation. At the position with the larger inclination angle, the larger output power is used in the ascending process to guarantee ascending stability, and the larger power generation transmission ratio is used in the descending process to provide larger braking resistance and larger power generation power (the larger the transmission ratio is, the larger the torque is). The cableway can obtain sufficient power and generating capacity while stable operation is guaranteed, the problem of high temperature during operation of the cableway can be effectively avoided in high mountain areas, power of the cableway mainly comes from electric power, and compared with fuel oil power and electric power power, the cableway is more environmentally friendly, and air pollution can be reduced. Meanwhile, the cableway descends by means of self weight, so that energy in the ascending process can be recycled, and reutilization of the energy is achieved.

Description

Technical Field

[0001] The present application relates to the field of photovoltaic transportation technology, and in particular to a cableway transportation method, device, equipment and storage medium for areas with large elevation differences. Background Art

[0002] In terms of urban construction, a low-carbon and ecological town construction model should be adopted. In order to minimize the impact on the environment, residents should be encouraged to adopt green and low-carbon transportation methods, such as walking, cycling, and using public transportation.

[0003] The terrain in Tibet is well-suited for the use of cableways as a means of public transportation. A cableway is a structure suspended between two mountains, connected by a cable, capable of transporting passengers and cargo. Due to the high terrain in Tibet, the construction of roads and railways is extremely costly. However, cableways can cross natural obstacles such as mountains, canyons, and rivers, effectively resolving the problem of inconvenient transportation between small towns in the region. Furthermore, the climate in Tibet is ideal for cableways. Due to the dry climate, abundant sunshine, and long hours of daylight, cableways can obtain sufficient energy. Furthermore, the relatively low temperatures in mountainous areas effectively prevent the high temperatures that can occur during cableway operation.

[0004] At present, the mainstream driving mode of cableways is diesel engine drive. The use of photovoltaic motors as cableway transportation power has not been popularized. The transportation strategy of photovoltaic cableways is still in a blank or experimental stage. The current transportation strategy and method of diesel engines may not be applicable to the transportation strategy and method of photovoltaic motors, resulting in the lack of unified standards or strategies for the transportation and control of photovoltaic cableways, which is prone to cause unnecessary problems and accidents. Summary of the Invention

[0005] The main purpose of this application is to provide a cableway transportation method, device, equipment and storage medium for areas with large elevation differences, so as to solve the problem that the current transportation strategies and methods of diesel engines in the existing technology may not be applicable to the transportation strategies and methods of photovoltaic motors, resulting in the lack of unified standards or strategies for the transportation and control of photovoltaic cableways, which may easily cause unnecessary problems and accidents.

[0006] In order to achieve the above objectives, this application provides the following technical solutions: A cableway transportation method for areas with large elevation differences, the cableway transportation method being applied to a cableway having photovoltaic power generation, energy recovery, and energy storage functions. The cableway is driven upward by a drive member and is driven downward at a limited speed by the energy recovery function. The energy storage function is electrically connected to the photovoltaic power generation, energy recovery, and drive member, respectively. The cableway transportation method comprises: Step S1, obtaining the inclination of the cable rope based on adjacent supports, and obtaining a cable rope inclination based on two adjacent supports; Step S2, constructing a plurality of consecutive increasing inclination intervals based on the minimum and maximum values ​​of the inclinations of all the steel cables; Step S3, classifying all steel cable inclinations into various inclination intervals using a classification algorithm; Step S4, defining an uplink output power percentage and a downlink power generation transmission ratio based on a gradient interval, wherein all uplink output power percentages and all downlink power generation transmission ratios increase as the values ​​of all gradient intervals increase; Step S5, during a full upward movement, adjusting the upward output power percentage of the driving member in real time according to the current inclination interval, and during a full downward movement, adjusting the downward power generation transmission ratio of the energy recovery function in real time according to the current inclination interval; Step S6, defining one full up-trip and one full down-trip as one complete transport, and obtaining the transport power consumption and transport power generation for each complete transport, and calculating the difference to obtain the remaining power of the energy storage function; Step S7, obtaining the remaining power of several complete transports and using a machine learning machine to predict several future remaining power levels for all remaining power levels; Step S8, linearly fitting all remaining capacities and all future remaining capacities along the time course into a remaining capacities curve; Step S9: When the slope of the remaining power curve is negative and is less than a first preset power threshold, the energy storage function is controlled to connect to the external municipal power grid.

[0007] As a further improvement of the present application, in step S9, when the slope of the remaining power curve is negative and less than a first preset power threshold, the energy storage function is controlled to be connected to the external municipal power grid, and then the following steps are included: Step S10, obtaining the real-time remaining power of the energy storage function based on a preset time interval under the condition that the energy storage function is connected to an external municipal power grid; Step S20, determining whether the real-time remaining power in the current preset time interval exceeds a second preset power threshold, if so, executing step S30; Step S30, determining whether the real-time remaining power corresponding to the preset number of time intervals before the current preset time interval all exceeds the second preset power threshold, if so, executing step S40; Step S40, determining whether the energy storage function is fully charged; Step S50: Control the energy storage function to disconnect the external municipal power grid.

[0008] As a further improvement of the present application, step S50, controlling the energy storage function to disconnect the external municipal power grid, then includes: Step S100, obtaining an access timestamp of the energy storage function accessing the external municipal power grid; Step S200, obtaining a disconnection timestamp of the energy storage function disconnecting from the external municipal power grid; Step S300, packaging the access timestamp and the disconnection timestamp into an external municipal power grid usage data packet; Step S400: sending the external municipal power grid usage data packet to an external monitoring terminal.

[0009] As a further improvement of the present application, in step S9, when the slope of the remaining power curve is negative and less than a first preset power threshold, the energy storage function is controlled to be connected to the external municipal power grid, and then the following steps are included: Step S1000, under the condition that the energy storage function is connected to an external municipal power grid, obtaining the real-time device temperature of the energy storage function based on a preset time interval; Step S2000, obtaining the optimal charging power of the energy storage function through a global optimization algorithm so that the real-time device temperature is less than or equal to a preset charging temperature threshold; Step S3000: output the optimal charging power to the substation of the external municipal power grid.

[0010] As a further improvement of the present application, step S2000, obtaining the optimal charging power of the energy storage function by a global optimization algorithm so that the real-time device temperature is less than or equal to a preset charging temperature threshold, includes: Step S20001: defining several random solutions based on each optimal charging power; Step S20002, defining the optimization result of all random solutions as the real-time device temperature being less than or equal to a preset charging temperature threshold; Step S20003: Initialize the position of each random solution, and update the current position and current speed of each random solution based on a preset number of iteration steps; Step S20004, obtaining the individual optimal solution and the global optimal solution of each random solution based on each update; Step S20005: determine whether the fitness value of each individual optimal solution and each global optimal solution no longer changes. If yes, execute step S20006. Step S20006: Determine whether the optimal solution for all optimal charging powers has been obtained.

[0011] As a further improvement of the present application, step S7, obtaining the remaining power of several complete transports and using a machine learning machine to predict several future remaining power for all the remaining power, includes: Step S71, obtaining the remaining power for several complete transports; Step S72 , integrating all remaining power of all complete transports into one data set; Step S73, dividing the current data set into a training set, a validation set, and a test set according to a preset ratio; Step S74, defining a neural network model having at least one hidden layer; Step S75, training the current training set through the neural network model, and updating the weights and biases of the neural network model through a back propagation algorithm based on the training results and the loss function of the current validation set; Step S76, repeating step S75 several times until the loss function reaches a minimum value; Step S77, obtaining a neural network model corresponding to the minimum value of the loss function and defining it as a remaining power prediction model; Step S78: predicting several future remaining capacities based on several preset prediction steps using the remaining capacities prediction model.

[0012] As a further improvement of the present application, in step S9, when the slope of the remaining power curve is negative and less than a first preset power threshold, the energy storage function is controlled to be connected to the external municipal power grid, and then the following steps are included: Step S10000: sending the remaining power curve to an external visualization terminal.

[0013] In order to achieve the above objectives, this application also provides the following technical solutions: A cableway transportation device for areas with large elevation differences, the cableway transportation device being applied to the above-mentioned cableway transportation method, the cableway transportation device comprising: A cable inclination acquisition module, configured to acquire the cable inclination of the cableway based on adjacent supports, and obtain a cable inclination based on two adjacent supports; The inclination interval definition module is used to construct multiple consecutive inclination intervals that increase in sequence based on the minimum and maximum values ​​of the inclinations of all cables; The steel cable inclination classification module is used to classify all steel cable inclinations into various inclination intervals through a classification algorithm; A power and transmission ratio definition module is used to define an uplink output power percentage and a downlink power generation transmission ratio based on a gradient interval, where all uplink output power percentages and all downlink power generation transmission ratios increase as the values ​​of all gradient intervals increase. The cableway up and down power adjustment module is used to adjust the up output power percentage of the driving element in real time according to the current inclination range during a full up process, and to adjust the down power generation transmission ratio of the energy recovery function in real time according to the current inclination range during a full down process; The energy storage function remaining power acquisition module is used to define one full uphaul and one full downhaul as a complete transport, and obtain the transport power consumption and transport power generation based on each complete transport, and calculate the difference to obtain the remaining power of the energy storage function; The future remaining power prediction module is used to obtain the remaining power of several complete transports and predict several future remaining power levels based on all the remaining power through a machine learning machine; A remaining power curve fitting module is used to linearly fit all remaining powers and all future remaining powers along the time process into a remaining power curve; The external municipal power grid access module is used to control the energy storage function to access the external municipal power grid when the slope of the remaining power curve is negative and is less than a first preset power threshold.

[0014] In order to achieve the above objectives, this application also provides the following technical solutions: An electronic device includes a processor and a memory coupled to the processor, wherein the memory stores program instructions that can be executed by the processor; when the processor executes the program instructions stored in the memory, the cableway transportation method as described above is implemented.

[0015] To achieve the above objectives, this application also provides the following technical solutions: A storage medium stores program instructions, which can implement the above-mentioned cableway transportation method when executed by a processor.

[0016] The present application obtains the inclination of the steel cables of the cableway based on adjacent supports, and obtains a steel cable inclination based on two adjacent supports; constructs multiple continuous inclination intervals that increase in sequence based on the minimum and maximum values ​​of all steel cable inclinations; classifies all steel cable inclinations into various inclination intervals through a classification algorithm; defines an uplink output power percentage and a downlink power generation transmission ratio based on an inclination interval, and all uplink output power percentages and all downlink power generation transmission ratios increase with the increasing values ​​of all inclination intervals; during a full uplink process, the uplink output power percentage of the driving part is adjusted in real time according to the current inclination interval, and During the entire downward process, the downward power generation transmission ratio of the energy recovery function is adjusted in real time according to the current inclination range; one full upward journey and one full downward journey are defined as a complete transportation, and the transportation power consumption and transportation power generation are obtained based on each complete transportation, and the difference is calculated to obtain the remaining power of the energy storage function; the remaining power of several complete transportations is obtained and several future remaining powers are predicted for all the remaining powers through a machine learning machine; all the remaining powers and all the future remaining powers are linearly fitted into a remaining power curve along the time process; when the slope of the remaining power curve is negative and less than the first preset power threshold, the energy storage function is controlled to connect to the external municipal power grid. This application sets different power supply intensities and different power transmission ratios based on different inclination angles. At higher inclination angles, greater output power is used during the upward movement to ensure upward stability. During the downward movement, a larger power transmission ratio is used to provide greater braking resistance and greater power generation (the larger the transmission ratio, the greater the torque). This ensures that the cableway can obtain sufficient power and power generation while maintaining stable operation. In mountainous areas, where temperatures are often relatively low, this can effectively avoid high temperatures during cableway operation. The cableway is mainly powered by electricity, which is more environmentally friendly than fuel and can reduce air pollution. At the same time, because the cableway descends by its own weight, the energy used during the upward movement can be recycled, achieving energy reuse. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a schematic flow chart of the steps of an embodiment of the cableway transportation method for areas with large elevation differences of the present application; Figure 2 This is a structural schematic diagram of an embodiment of a cableway transportation device for areas with large elevation differences according to the present application; Figure 3 This is a schematic structural diagram of an embodiment of the electronic device of the present application; Figure 4 This is a structural diagram of an embodiment of the storage medium of the present application. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0019] The terms "first," "second," and "third" in this application are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, features specified as "first," "second," or "third" may explicitly or implicitly include at least one of such features. In the description of this application, "plurality" means at least two, for example, two, three, etc., unless otherwise specifically defined. All directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of this application are intended only to illustrate the relative positional relationships and movement of components in a specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indications will also change accordingly. Furthermore, the terms "including," "having," and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or elements is not limited to the listed steps or elements and may optionally include steps or elements not listed, or may optionally include other steps or elements inherent to such process, method, product, or apparatus.

[0020] References to "embodiments" herein mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0021] like Figure 1 As shown, this embodiment provides a cableway transportation method for areas with large elevation differences. The cableway transportation method is applied to a cableway with photovoltaic power generation function, energy recovery function, and energy storage function. The cableway is driven upward by a driving component and is driven downward at a limited speed by the energy recovery function. The energy storage function is electrically connected to the photovoltaic power generation function, the energy recovery function, and the driving component, respectively.

[0022] Preferably, a cableway is a means of transport that uses steel cables suspended in mid-air to support and pull passenger vehicles or cargo, usually to carry passengers or cargo up and down rugged hillsides.

[0023] Preferably, the components of the ropeway mainly include: ① Steel rope: The main load-bearing and traction structure of the cableway, usually composed of multiple steel ropes to ensure stability and safety.

[0024] ②‌ Bracket‌: A bracket used to support the steel cable, usually built at regular intervals to ensure the stability and safety of the steel cable.

[0025] ③ Carriage: A car for passengers or cargo, which can be a closed cabin or an open chairlift, depending on its specific purpose and design.

[0026] ④ Drive system: includes a drive motor, a reducer, etc., used to drive the movement of the steel cable and the cabin. The drive motor is powered by photovoltaic panels and energy storage batteries.

[0027] ⑤ Control system: used to control the speed, stop and start of the cableway to ensure safe operation.

[0028] ⑥ Safety devices: such as emergency braking system and speed limiting device, to ensure that the cableway can be stopped quickly and safely in an emergency.

[0029] Specifically, the cableway transportation method of this embodiment includes the following steps: Step S1, obtaining the inclination of the cableway cable based on adjacent supports, and obtaining a cable inclination based on two adjacent supports.

[0030] Step S2: constructing a plurality of continuous inclination intervals that increase in sequence based on the minimum and maximum values ​​of the inclinations of all the steel cables.

[0031] For example, a large height difference usually refers to a height difference of more than 800m and less than 1500m. Some examples of the tilt angle range in large height difference scenarios are shown in Table 1 (Cableway Cable Tilt Angle Table):

[0032] Table 1: Cableway rope inclination angle table.

[0033] In actual use, due to the randomness of the mountain structure, the brackets are often not evenly installed in equal parts, resulting in different spans and height differences between spans, leading to different inclination angles of the steel cables.

[0034] For example, if the inclination angle of a cable car in a certain place ranges from 15° to 27°, four consecutive inclination intervals are defined, each covering 3°, and all the inclination intervals are [15°, 18°), [18°, 21°), [21°, 24°), and [24°, 27°].

[0035] Step S3: classify the inclinations of all steel cables into various inclination intervals using a classification algorithm.

[0036] Preferably, it is relatively simple to directly classify numbers with clear interval values, and the specific classification process will not be described in detail in this embodiment.

[0037] For example, the inclination angles of each span of steel cables in this area are not equal, namely 15°, 21°, 27°, 23°, and 19°. After classification, there are two data in the interval [18°, 21°), and one data in each of the other intervals.

[0038] It is worth noting that the above data is only used as an example and does not represent the actual situation.

[0039] Step S4: defining an uplink output power percentage and a downlink power generation transmission ratio based on a gradient interval, and all uplink output power percentages and all downlink power generation transmission ratios increase as the values ​​of all gradient intervals increase.

[0040] Preferably, the uplink output power percentage may be defined using the above four gradient intervals, and the uplink output power percentages are defined in ascending order as 70%, 80%, 90%, and 100%.

[0041] It is worth noting that the rated output power is not the maximum output power. In cableway transportation, the maximum output power is generally 1.2 to 1.5 times the rated output power.

[0042] Preferably, in a cableway energy recovery system, the design of the downlink power generation transmission ratio directly affects the energy recovery efficiency and system dynamic response. For details, see Table 2 below (Typical transmission ratio ranges for energy recovery systems):

[0043] Table 2: Typical transmission ratio ranges for energy recovery systems.

[0044] Preferably, if the above four gradient intervals are adopted, the transmission ratio range in Table 2 can be divided equally.

[0045] Step S5, during a full upward process, the upward output power percentage of the driving component is adjusted in real time according to the current inclination interval, and during a full downward process, the downward power generation transmission ratio of the energy recovery function is adjusted in real time according to the current inclination interval.

[0046] Preferably, the interval where the car is located is analyzed in real time based on the real-time position of the car, and the respective powers are dynamically adjusted according to the interval where the car is located in real time.

[0047] Preferably, both the adjustment of the upstream power and the adjustment of the downstream power generation transmission ratio can be adjusted through PID control to prevent power oscillation.

[0048] Step S6, defining one full up-trip and one full down-trip as a complete transport, and obtaining the transport power consumption and transport power generation based on each complete transport, and calculating the difference to obtain the remaining power of the energy storage function.

[0049] Preferably, the energy storage function of the photovoltaic cableway is generally realized through a combination of one or two of the drive station energy storage cabin (main energy storage) and distributed energy storage points along the line. Among them, the drive station energy storage cabin (main energy storage) is set close to the frequency conversion drive cabinet (distance ≤ 10m to reduce line loss); the distributed energy storage points along the line generally use flywheel energy storage on the intermediate support to compensate for short-term voltage drops, sodium-sulfur batteries are used at the corner station to deal with local shadow obstruction, and pumped storage is used at the mountaintop terminal to realize day and night energy transfer.

[0050] Step S7, obtaining the remaining power of several complete transports and predicting several future remaining power for all the remaining power through a machine learning machine.

[0051] Step S8: linearly fit all remaining capacities and all future remaining capacities along the time course into a remaining capacities curve.

[0052] Step S9: When the slope of the remaining power curve is negative and is less than a first preset power threshold, the energy storage function is controlled to connect to the external municipal power grid.

[0053] Preferably, the first preset power threshold is a low value of the remaining power, which may be 20%.

[0054] Preferably, when the electricity price of the external municipal grid is lower than the discharge income of the energy storage system, the external municipal grid is used for power supply first, otherwise access is delayed.

[0055] Furthermore, in step S9, when the slope of the remaining power curve is negative and less than a first preset power threshold, the energy storage function is controlled to connect to the external municipal power grid. Thereafter, the following steps are also included: Step S10 , under the condition that the energy storage function is connected to the external municipal power grid, the real-time remaining power of the energy storage function is obtained based on a preset time interval.

[0056] Step S20, determining whether the real-time remaining power in the current preset time interval exceeds a second preset power threshold, if so, executing step S30.

[0057] Preferably, the second preset power threshold is a high value of the remaining power, which may be 80%.

[0058] It is worth noting that the first preset power threshold should be kept away from 0% as much as possible, and the second preset power threshold should be kept away from 100% as much as possible to prevent life and safety problems caused by overcharging or over-discharging of the energy storage device.

[0059] Step S30 , determining whether the real-time remaining power corresponding to the preset number of time intervals before the current preset time interval all exceeds the second preset power threshold. If yes, executing step S40 .

[0060] Preferably, the preset time interval can be set to 5 minutes. If the first five 5-minute intervals (a total of 30 minutes) do not exceed the second preset power threshold, it means that charging is completed.

[0061] Step S40: determining whether the energy storage function is fully charged.

[0062] Preferably, steps S10 to S40 are designed to prevent virtual power.

[0063] Step S50: Control the energy storage function to disconnect the external municipal power grid.

[0064] Furthermore, in step S50, the energy storage function is controlled to disconnect the external municipal power grid, and then the following steps are also included: Step S100: obtaining a timestamp of the energy storage function accessing the external municipal power grid.

[0065] Step S200: Obtain a disconnection timestamp when the energy storage function is disconnected from the external municipal power grid.

[0066] Step S300: Pack the access timestamp and the disconnection timestamp into an external municipal power grid usage data packet.

[0067] Step S400: Sending the external municipal power grid usage data packet to the external monitoring terminal.

[0068] Furthermore, in step S9, when the slope of the remaining power curve is negative and less than a first preset power threshold, the energy storage function is controlled to connect to the external municipal power grid. Thereafter, the following steps are also included: Step S1000 , under the condition that the energy storage function is connected to an external municipal power grid, the real-time device temperature of the energy storage function is obtained based on a preset time interval.

[0069] Step S2000: Obtain the optimal charging power of the energy storage function through a global optimization algorithm so that the real-time device temperature is less than or equal to a preset charging temperature threshold.

[0070] Preferably, the preset charging temperature threshold can be selected according to the battery type of the energy storage component, such as the following Table 3 (temperature limits for mainstream battery types):

[0071] Table 3: Temperature limits for mainstream battery types.

[0072] Preferably, the preset charging temperature threshold is set according to the maximum value of the normal working range in Table 3.

[0073] Step S3000: output the optimal charging power to the substation of the external municipal power grid.

[0074] Furthermore, step S2000, obtaining the optimal charging power of the energy storage function through a global optimization algorithm so that the real-time device temperature is less than or equal to a preset charging temperature threshold, specifically includes the following steps: Step S20001: define several random solutions based on each optimal charging power.

[0075] Step S20002 , defining the optimization result of all random solutions as the real-time device temperature being less than or equal to a preset charging temperature threshold.

[0076] Step S20003: Initialize the position of each random solution, and update the current position and current speed of each random solution based on a preset number of iteration steps.

[0077] Step S20004: Obtain the individual optimal solution and the global optimal solution of each random solution based on each update.

[0078] Step S20005: Determine whether the fitness value of each individual optimal solution and each global optimal solution no longer changes. If yes, execute step S20006.

[0079] Step S20006: Determine whether the optimal solution for all optimal charging powers has been obtained.

[0080] Preferably, the principles of steps S20001 to S20006 are as follows: ① Initialize the particle swarm: ‌Number of Particles‌: Sets the number of particles in the swarm (usually 20-50).

[0081] ‌Position and Velocity‌: Randomly initialize the position (solution) and velocity of each particle.

[0082] Individual Optimum (pBest): The initial position of each particle is the individual optimal solution.

[0083] ‌Global Best (gBest): Select the global best solution from all individual best solutions.

[0084] ②Assessing fitness: The fitness value of each particle (i.e., the quality of the solution) is calculated according to the objective function. The fitness value can be evaluated by one of the Griewank function, Rastrigin function, Schaffer function, Ackley function, and Rosenbrock function.

[0085] ③ Update individual optimality and global optimality: ‌Individual Best Update‌: If the fitness of the current particle is better than its individual best, update pBest.

[0086] ‌Global Best Update‌: If the fitness of a particle is better than the global best, update gBest.

[0087] ④‌ Update speed and location: Particle velocity updates.

[0088] Particle position updates.

[0089] ⑤ Check termination conditions: If the termination condition is met (such as reaching the maximum number of iterations, the fitness value is small enough or does not change much), the algorithm stops and outputs the global optimal solution; otherwise, return to ② and continue iterating.

[0090] ⑥ Output: Output the global optimal solution (gBest) as the final result.

[0091] Furthermore, step S7, obtaining the remaining power of several complete transports and using a machine learning machine to predict several future remaining power levels for all the remaining power levels, specifically includes the following steps: Step S71, obtaining the remaining power for several complete transports.

[0092] Step S72 , integrating all remaining power of all complete transports into one data set.

[0093] Step S73: Divide the current data set into a training set, a validation set, and a test set according to a preset ratio.

[0094] Preferably, the preset ratio is 70:15:15, that is, 70% training set, 15% validation set, and 15% test set.

[0095] Step S74: define a neural network model with at least one hidden layer.

[0096] Step S75: Train the current training set through the neural network model, and update the weights and biases of the neural network model through the back propagation algorithm based on the training results and the loss function of the current validation set.

[0097] Step S76, repeat step S75 several times until the loss function reaches a minimum value.

[0098] Step S77: Obtain a neural network model corresponding to the minimum value of the loss function and define it as a remaining power prediction model.

[0099] Step S78: predicting several future remaining capacities based on several preset prediction steps using the remaining capacities prediction model.

[0100] Furthermore, in step S9, when the slope of the remaining power curve is negative and less than a first preset power threshold, the energy storage function is controlled to connect to the external municipal power grid. Thereafter, the following steps are also included: Step S10000: Send the remaining power curve to an external visualization terminal.

[0101] This embodiment obtains the inclination of the steel cables of the cableway based on adjacent supports, and obtains a steel cable inclination based on two adjacent supports; constructs multiple continuous inclination intervals that increase in sequence based on the minimum and maximum values ​​of all steel cable inclinations; classifies all steel cable inclinations into various inclination intervals through a classification algorithm; defines an uplink output power percentage and a downlink power generation transmission ratio based on an inclination interval, and all uplink output power percentages and all downlink power generation transmission ratios increase as the values ​​of all inclination intervals increase; during a full uplink process, the uplink output power percentage of the driving part is adjusted in real time according to the current inclination interval, and During the entire down-trip process, the down-trip power generation transmission ratio of the energy recovery function is adjusted in real time according to the current inclination range; one entire up-trip and one entire down-trip are defined as a complete transport, and based on each complete transport, the transport power consumption and transport power generation are obtained, and the difference is calculated to obtain the remaining power of the energy storage function; the remaining power of several complete transports is obtained and several future remaining powers are predicted for all the remaining powers through a machine learning machine; all the remaining powers and all the future remaining powers are linearly fitted into a remaining power curve along the time process; when the slope of the remaining power curve is negative and is less than a first preset power threshold, the energy storage function is controlled to be connected to the external municipal power grid. This embodiment provides different power supply intensities and generator transmission ratios based on different inclination angles. At higher inclination angles, greater output power is used during the upward movement to ensure smooth ascending. During the descent, a larger generator transmission ratio is used to provide greater braking resistance and greater generated power (a larger transmission ratio means greater torque). This ensures stable cableway operation while providing sufficient power and power generation. Furthermore, in mountainous areas, where temperatures are often relatively low, this effectively prevents high temperatures during cableway operation. The cableway is primarily powered by electricity, which is more environmentally friendly than fuel and reduces air pollution. Furthermore, because the cableway descends by its own weight, energy used during the upward movement can be recycled, achieving energy reuse.

[0102] like Figure 1 As shown, this embodiment provides an embodiment of a cableway transportation device for areas with large elevation differences. In this embodiment, the cableway transportation device is applied to the cableway transportation method as in the above-mentioned embodiment.

[0103] Specifically, the cableway transport device includes a steel cable inclination acquisition module 1, an inclination interval definition module 2, a steel cable inclination classification module 3, a power and transmission ratio definition module 4, a cableway up and down power adjustment module 5, an energy storage function remaining power acquisition module 6, a future remaining power prediction module 7, a remaining power curve fitting module 8, and an external municipal power grid access module 9, which are electrically connected in sequence.

[0104] Among them, the steel cable inclination acquisition module 1 is used to obtain the steel cable inclination of the cableway based on adjacent supports, and obtain a steel cable inclination based on two adjacent supports; the inclination interval definition module 2 is used to construct a plurality of continuous inclination intervals that increase in sequence based on the minimum and maximum values ​​of all steel cable inclinations; the steel cable inclination classification module 3 is used to classify all steel cable inclinations into various inclination intervals through a classification algorithm; the power and transmission ratio definition module 4 is used to define an uplink output power percentage and a downlink power generation transmission ratio based on an inclination interval, and all uplink output power percentages and all downlink power generation transmission ratios increase as the values ​​of all inclination intervals increase; the cableway up and down power adjustment module 5 is used to adjust the uplink output power percentage of the drive component in real time according to the current inclination interval during a full uplink process, During a full down-trip, the down-trip power generation transmission ratio of the energy recovery function is adjusted in real time according to the current inclination range; the energy storage function remaining power acquisition module 6 is used to define a full up-trip and a full down-trip as a complete transport, and based on each complete transport, obtain the transport power consumption and transport power generation, and calculate the difference to obtain the remaining power of the energy storage function; the future remaining power prediction module 7 is used to obtain the remaining power of several complete transports and predict several future remaining powers for all remaining powers through a machine learning machine; the remaining power curve fitting module 8 is used to linearly fit all remaining powers and all future remaining powers into a remaining power curve along the time process; the external municipal power grid access module 9 is used to control the energy storage function to connect to the external municipal power grid when the slope of the remaining power curve is negative and is less than the first preset power threshold.

[0105] Furthermore, the cableway transport device also includes a real-time remaining power acquisition module, a real-time remaining power judgment module, a real-time remaining power duration judgment module, an energy storage function charging completion judgment module, and an energy storage function disconnection control module, which are electrically connected in sequence; the real-time remaining power acquisition module is electrically connected to the external municipal power grid access module 9.

[0106] Among them, the real-time remaining power acquisition module is used to obtain the real-time remaining power of the energy storage function based on a preset time interval under the condition that the energy storage function is connected to the external municipal power grid; the real-time remaining power judgment module is used to judge whether the real-time remaining power of the current preset time interval exceeds the second preset power threshold; the real-time remaining power duration judgment module is used to judge whether the real-time remaining power corresponding to the preset number of preset time intervals before the current preset time interval exceeds the second preset power threshold if so; the energy storage function charging completion judgment module is used to judge whether the energy storage function is fully charged if all of them are yes; the energy storage function disconnection control module is used to control the energy storage function to disconnect from the external municipal power grid.

[0107] Furthermore, the cableway transport device also includes an access timestamp acquisition module, a disconnection timestamp acquisition module, a timestamp packaging module, and an external municipal power grid data packet sending module, which are electrically connected in sequence; the access timestamp acquisition module is electrically connected to the energy storage function disconnection control module.

[0108] Among them, the access timestamp acquisition module is used to obtain the access timestamp of the energy storage function accessing the external municipal power grid; the disconnection timestamp acquisition module is used to obtain the disconnection timestamp of the energy storage function disconnecting the external municipal power grid; the timestamp packaging module is used to package the access timestamp and the disconnection timestamp into an external municipal power grid usage data packet; the external municipal power grid usage data packet sending module is used to send the external municipal power grid usage data packet to the external monitoring end.

[0109] Furthermore, the cableway transport device also includes a real-time device temperature acquisition module, an optimal charging power search module, and an optimal charging power output module that are electrically connected in sequence; the real-time device temperature acquisition module is electrically connected to the external municipal power grid access module 9.

[0110] Among them, the real-time device temperature acquisition module is used to obtain the real-time device temperature of the energy storage function based on a preset time interval under the condition that the energy storage function is connected to the external municipal power grid; the optimal charging power search module is used to obtain the optimal charging power of the energy storage function through a global optimization algorithm so that the real-time device temperature is less than or equal to the preset charging temperature threshold; the optimal charging power output module is used to output the optimal charging power to the substation end of the external municipal power grid.

[0111] Furthermore, the optimal charging power finding module specifically includes a first optimal charging power finding unit, a second optimal charging power finding unit, a third optimal charging power finding unit, a fourth optimal charging power finding unit, a fifth optimal charging power finding unit, and a sixth optimal charging power finding unit that are electrically connected in sequence; the first optimal charging power finding unit is electrically connected to the real-time device temperature acquisition module, and the sixth optimal charging power finding unit is electrically connected to the optimal charging power output module.

[0112] Among them, the first optimal charging power search unit is used to define several random solutions based on each optimal charging power; the second optimal charging power search unit is used to define the optimization result of all random solutions as the real-time device temperature is less than or equal to the preset charging temperature threshold; the third optimal charging power search unit is used to initialize the position of each random solution, and update the current position and current speed of each random solution based on a preset number of iteration steps; the fourth optimal charging power search unit is used to obtain the individual optimal solution and the global optimal solution of each random solution based on each update; the fifth optimal charging power search unit is used to determine whether the fitness value of each individual optimal solution and each global optimal solution no longer changes; the sixth optimal charging power search unit is used to determine that the optimal solution for all optimal charging powers has been obtained if both are true.

[0113] Furthermore, the future remaining power prediction module 7 specifically includes a first future remaining power prediction unit, a second future remaining power prediction unit, a third future remaining power prediction unit, a fourth future remaining power prediction unit, a fifth future remaining power prediction unit, a sixth future remaining power prediction unit, a seventh future remaining power prediction unit, and an eighth future remaining power prediction unit, which are electrically connected in sequence; the first future remaining power prediction unit is electrically connected to the energy storage function remaining power acquisition module 6, and the eighth future remaining power prediction unit is electrically connected to the remaining power curve fitting module 8.

[0114] Among them, the first future remaining power prediction unit is used to obtain the remaining power of several complete transportations; the second future remaining power prediction unit is used to integrate all the remaining power of all complete transportations into a data set; the third future remaining power prediction unit is used to divide the current data set into a training set, a verification set, and a test set according to a preset ratio; the fourth future remaining power prediction unit is used to define a neural network model with at least one hidden layer; the fifth future remaining power prediction unit is used to train the current training set through the neural network model, and update the weights and biases of the neural network model through the back propagation algorithm based on the training results and the loss function of the current verification set; the sixth future remaining power prediction unit is used to repeatedly execute the fifth future remaining power prediction unit several times until the loss function reaches a minimum value; the seventh future remaining power prediction unit is used to obtain the neural network model corresponding to the minimum value of the loss function and define it as the remaining power prediction model; the eighth future remaining power prediction unit is used to predict several future remaining powers based on a preset number of prediction steps through the remaining power prediction model.

[0115] Furthermore, the cableway transport device further comprises a remaining power curve sending module electrically connected to the external municipal power grid access module 9, and the module is specifically used to send the remaining power curve to an external visualization terminal.

[0116] It should be noted that this embodiment is a functional module embodiment based on the above method embodiment. The optimization, expansion, limitation, example, and principle description of this embodiment can be referred to the above embodiment, and will not be repeated in this embodiment.

[0117] This embodiment obtains the inclination of the steel cables of the cableway based on adjacent supports, and obtains a steel cable inclination based on two adjacent supports; constructs multiple continuous inclination intervals that increase in sequence based on the minimum and maximum values ​​of all steel cable inclinations; classifies all steel cable inclinations into various inclination intervals through a classification algorithm; defines an uplink output power percentage and a downlink power generation transmission ratio based on an inclination interval, and all uplink output power percentages and all downlink power generation transmission ratios increase as the values ​​of all inclination intervals increase; during a full uplink process, the uplink output power percentage of the driving part is adjusted in real time according to the current inclination interval, and During the entire down-trip process, the down-trip power generation transmission ratio of the energy recovery function is adjusted in real time according to the current inclination range; one entire up-trip and one entire down-trip are defined as a complete transport, and based on each complete transport, the transport power consumption and transport power generation are obtained, and the difference is calculated to obtain the remaining power of the energy storage function; the remaining power of several complete transports is obtained and several future remaining powers are predicted for all the remaining powers through a machine learning machine; all the remaining powers and all the future remaining powers are linearly fitted into a remaining power curve along the time process; when the slope of the remaining power curve is negative and is less than a first preset power threshold, the energy storage function is controlled to be connected to the external municipal power grid. This embodiment provides different power supply intensities and generator transmission ratios based on different inclination angles. At higher inclination angles, greater output power is used during the upward movement to ensure smooth ascending. During the descent, a larger generator transmission ratio is used to provide greater braking resistance and greater generated power (a larger transmission ratio means greater torque). This ensures stable cableway operation while providing sufficient power and power generation. Furthermore, in mountainous areas, where temperatures are often relatively low, this effectively prevents high temperatures during cableway operation. The cableway is primarily powered by electricity, which is more environmentally friendly than fuel and reduces air pollution. Furthermore, because the cableway descends by its own weight, energy used during the upward movement can be recycled, achieving energy reuse.

[0118] Figure 3 Schematic diagram of the structure of an electronic device according to an embodiment of the present application. Figure 3 As shown, the electronic device 10 includes a processor 101 and a memory 102 coupled to the processor 101 .

[0119] The memory 102 stores program instructions for implementing the cableway transportation method for areas with large elevation differences according to any of the above embodiments.

[0120] The processor 101 is configured to execute program instructions stored in the memory 102 to perform cableway transportation in areas with large elevation differences.

[0121] The processor 101 may also be referred to as a CPU (Central Processing Unit). The processor 101 may be an integrated circuit chip with signal processing capabilities. The processor 101 may also be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic device, a discrete gate or transistor logic device, or a discrete hardware component. The general-purpose processor may be a microprocessor or any conventional processor.

[0122] Further, Figure 4 This is a schematic diagram of the structure of the storage medium of an embodiment of the present application, see Figure 4 The storage medium 11 of the embodiment of the present application stores program instructions 111 capable of implementing all of the above-mentioned methods. The program instructions 111 can be stored in the above-mentioned storage medium in the form of a software product, including a number of instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute all or part of the steps of the methods described in various embodiments of the present application. The aforementioned storage medium includes: various media that can store program code, such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, or terminal devices such as a computer, server, mobile phone, or tablet.

[0123] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0124] In addition, the functional units in the various embodiments of the present application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units. The above is only an implementation method of the present application and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the description and drawings of this application, or directly or indirectly used in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A cableway transportation method for areas with large elevation differences, the cableway transportation method being applied to a cableway having photovoltaic power generation, energy recovery, and energy storage functions, wherein the cableway is driven upward by a drive member and is driven downward at a limited speed by the energy recovery function, and the energy storage function is electrically connected to the photovoltaic power generation, energy recovery, and drive member, respectively. The cableway transportation method comprises: Step S1, obtaining the inclination of the cable rope based on adjacent supports, and obtaining a cable rope inclination based on two adjacent supports; Step S2, constructing a plurality of consecutive increasing inclination intervals based on the minimum and maximum values ​​of the inclinations of all the steel cables; Step S3, classifying all steel cable inclinations into various inclination intervals using a classification algorithm; Step S4, defining an uplink output power percentage and a downlink power generation transmission ratio based on a gradient interval, wherein all uplink output power percentages and all downlink power generation transmission ratios increase as the values ​​of all gradient intervals increase; Step S5, during a full upward movement, adjusting the upward output power percentage of the driving member in real time according to the current inclination interval, and during a full downward movement, adjusting the downward power generation transmission ratio of the energy recovery function in real time according to the current inclination interval; Step S6, defining one full up-trip and one full down-trip as one complete transport, and obtaining the transport power consumption and transport power generation for each complete transport, and calculating the difference to obtain the remaining power of the energy storage function; Step S7, obtaining the remaining power of several complete transports and using a machine learning machine to predict several future remaining power levels for all remaining power levels; Step S8, linearly fitting all remaining capacities and all future remaining capacities along the time course into a remaining capacities curve; Step S9: When the slope of the remaining power curve is negative and is less than a first preset power threshold, the energy storage function is controlled to connect to the external municipal power grid.

2. The cableway transportation method according to claim 1, characterized in that: Step S9, when the slope of the remaining power curve is negative and less than a first preset power threshold, controlling the energy storage function to connect to the external municipal power grid, and then including: Step S10, obtaining the real-time remaining power of the energy storage function based on a preset time interval under the condition that the energy storage function is connected to an external municipal power grid; Step S20, determining whether the real-time remaining power in the current preset time interval exceeds a second preset power threshold, if so, executing step S30; Step S30, determining whether the real-time remaining power corresponding to the preset number of time intervals before the current preset time interval all exceeds the second preset power threshold, if so, executing step S40; Step S40, determining whether the energy storage function is fully charged; Step S50: Control the energy storage function to disconnect the external municipal power grid.

3. The cableway transportation method according to claim 1, wherein: Step S50, controlling the energy storage function to disconnect the external municipal power grid, and then comprising: Step S100, obtaining an access timestamp of the energy storage function accessing the external municipal power grid; Step S200, obtaining a disconnection timestamp of the energy storage function disconnecting from the external municipal power grid; Step S300, packaging the access timestamp and the disconnection timestamp into an external municipal power grid usage data packet; Step S400: sending the external municipal power grid usage data packet to an external monitoring terminal.

4. The cableway transportation method according to claim 1, wherein: Step S9, when the slope of the remaining power curve is negative and less than a first preset power threshold, controlling the energy storage function to connect to the external municipal power grid, and then including: Step S1000, under the condition that the energy storage function is connected to an external municipal power grid, obtaining the real-time device temperature of the energy storage function based on a preset time interval; Step S2000, obtaining the optimal charging power of the energy storage function through a global optimization algorithm so that the real-time device temperature is less than or equal to a preset charging temperature threshold; Step S3000: output the optimal charging power to the substation of the external municipal power grid.

5. The cableway transportation method according to claim 1, wherein: Step S2000, obtaining the optimal charging power of the energy storage function by a global optimization algorithm so that the real-time device temperature is less than or equal to a preset charging temperature threshold, includes: Step S20001: defining several random solutions based on each optimal charging power; Step S20002, defining the optimization result of all random solutions as the real-time device temperature being less than or equal to a preset charging temperature threshold; Step S20003: Initialize the position of each random solution, and update the current position and current speed of each random solution based on a preset number of iteration steps; Step S20004, obtaining the individual optimal solution and the global optimal solution of each random solution based on each update; Step S20005: determine whether the fitness value of each individual optimal solution and each global optimal solution no longer changes. If yes, execute step S20006. Step S20006: Determine whether the optimal solution for all optimal charging powers has been obtained.

6. The cableway transportation method according to claim 1, characterized in that: Step S7, obtaining the remaining power of several complete transports and using a machine learning machine to predict several future remaining power for all the remaining power, including: Step S71, obtaining the remaining power for several complete transports; Step S72 , integrating all remaining power of all complete transports into one data set; Step S73, dividing the current data set into a training set, a validation set, and a test set according to a preset ratio; Step S74, defining a neural network model having at least one hidden layer; Step S75, training the current training set through the neural network model, and updating the weights and biases of the neural network model through a back propagation algorithm based on the training results and the loss function of the current validation set; Step S76, repeating step S75 several times until the loss function reaches a minimum value; Step S77, obtaining a neural network model corresponding to the minimum value of the loss function and defining it as a remaining power prediction model; Step S78: predicting several future remaining capacities based on several preset prediction steps using the remaining capacities prediction model.

7. The cableway transportation method according to claim 1, wherein: Step S9, when the slope of the remaining power curve is negative and less than a first preset power threshold, controlling the energy storage function to connect to the external municipal power grid, and then including: Step S10000: sending the remaining power curve to an external visualization terminal.

8. A cableway transportation device for areas with large elevation differences, the cableway transportation device being applied to the cableway transportation method according to any one of claims 1 to 7, characterized in that: The cableway transport device comprises: A cable inclination acquisition module, configured to acquire the cable inclination of the cableway based on adjacent supports, and obtain a cable inclination based on two adjacent supports; The inclination interval definition module is used to construct multiple consecutive inclination intervals that increase in sequence based on the minimum and maximum values ​​of the inclinations of all cables; The steel cable inclination classification module is used to classify all steel cable inclinations into various inclination intervals through a classification algorithm; A power and transmission ratio definition module is used to define an uplink output power percentage and a downlink power generation transmission ratio based on a gradient interval, where all uplink output power percentages and all downlink power generation transmission ratios increase as the values ​​of all gradient intervals increase. The cableway up and down power adjustment module is used to adjust the up output power percentage of the driving element in real time according to the current inclination range during a full up process, and to adjust the down power generation transmission ratio of the energy recovery function in real time according to the current inclination range during a full down process; The energy storage function remaining power acquisition module is used to define one full uphaul and one full downhaul as a complete transport, and obtain the transport power consumption and transport power generation based on each complete transport, and calculate the difference to obtain the remaining power of the energy storage function; The future remaining power prediction module is used to obtain the remaining power of several complete transports and predict several future remaining power levels based on all the remaining power through a machine learning machine; A remaining power curve fitting module is used to linearly fit all remaining powers and all future remaining powers along the time process into a remaining power curve; The external municipal power grid access module is used to control the energy storage function to access the external municipal power grid when the slope of the remaining power curve is negative and is less than a first preset power threshold.

9. An electronic device, characterized in that: The invention comprises a processor and a memory coupled to the processor, wherein the memory stores program instructions executable by the processor; when the processor executes the program instructions stored in the memory, the cableway transportation method according to any one of claims 1 to 7 is implemented.

10. A storage medium, characterized in that: The storage medium stores program instructions, and when the program instructions are executed by the processor, the cableway transportation method according to any one of claims 1 to 7 can be implemented.

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