Alternating current on-line ice melting control method and system for overhead line system of electrified railway

Abstract

The invention provides an alternating current on-line ice melting control method and system for an electrified railway contact network, and relates to the field of railway contact networks, and the system comprises a real-time monitoring module which is used for determining a plurality of icing monitoring positions on the railway contact network and icing correlation information between the icing monitoring positions, setting an icing monitoring device, and sending the icing monitoring device to a server; the information acquisition module is used for acquiring various environment information of an icing monitoring position; the icing analysis module is used for determining real-time icing information of the plurality of icing monitoring positions according to the various environmental information of the icing monitoring positions collected by the plurality of icing monitoring devices and the icing association information among the plurality of icing monitoring positions; the online ice melting module comprises an alternating current ice melting unit, a heating ice melting unit and a vibration ice melting unit; and the ice melting control module is used for determining an optimal on-line ice melting control strategy according to the real-time ice coating information of the plurality of ice coating monitoring positions and the load information of the railway overhead line system, and controlling the on-line ice melting module to melt ice, and has the advantage of realizing automatic ice melting of the railway overhead line system.

Description

Technical Field

[0001] The invention relates to the field of railway contact networks, and in particular to an alternating current online ice melting control method and system for an electrified railway contact network. Background Art

[0002] At present, in the traction power supply system of electrified railways, electric locomotives / EMUs draw power from the contact network for their own energy supply. Since the contact network is completely exposed to the external environment, it is very easy to be covered with ice in some low temperature, high humidity and high altitude areas. The ice on the contact network will affect the normal current drawing of the locomotive, and even cause damage to the power supply network and lead to power outages, which seriously threatens the normal operation of the electrified railway.

[0003] At present, the main deicing methods used for electrified railway contact networks are as follows:

[0004] 1. Mechanical removal method, which mainly uses manpower or machinery to remove ice. However, most of the disaster-stricken areas are located in mountainous areas, which makes mechanical de-icing extremely difficult.

[0005] 2. Contact network hot sliding method, the locomotive pantograph and the contact wire produce friction, so that it and the contact wire produce inertial deicing. However, this method not only causes damage to the contact network, but also may not completely de-ice.

[0006] 3. DC ice melting method: The control system of the DC ice melting device is complex, and the manufacturing and operation and maintenance costs are high. In addition, the line needs to be shut down during ice melting, which affects the normal operation of the railway.

[0007] Therefore, it is necessary to provide an AC online ice-melting control method and system for electrified railway contact network, so as to realize automatic ice-melting of railway contact network. Summary of the invention

[0008] The present invention provides an AC online ice melting control system for an electrified railway contact network, comprising: a real-time monitoring module, comprising a position determination unit and an ice covering monitoring unit, wherein the position determination unit is used to determine a plurality of ice covering monitoring positions on the railway contact network, and to determine ice covering association information between the plurality of ice covering monitoring positions, and the ice covering monitoring unit comprises an ice covering monitoring device arranged at each of the ice covering monitoring positions, and the ice covering monitoring device is used to collect a variety of environmental information of the ice covering monitoring positions; an ice covering analysis module, used to determine the real-time ice covering information of the plurality of ice covering monitoring positions on the railway contact network according to the plurality of environmental information of the ice covering monitoring positions collected by the plurality of ice covering monitoring devices and the ice covering association information between the plurality of ice covering monitoring positions; an online ice melting module, comprising The invention comprises an AC ice-melting unit, a heating ice-melting unit and a vibration ice-melting unit, wherein the AC ice-melting unit comprises a plurality of AC ice-melting devices, and the AC ice-melting devices are used to increase the current of the ice-covered line of the railway contact network; the heating ice-melting unit comprises a plurality of heating ice-melting devices, and the heating ice-melting devices are used to heat the ice-covered line of the railway contact network; the vibration ice-melting unit comprises a plurality of vibration ice-melting devices, and the vibration ice-melting devices are used to trigger the ice-covered line of the railway contact network to vibrate; an ice-melting control module is used to determine the optimal online ice-melting control strategy according to the real-time ice-covering information of the plurality of ice-covering monitoring positions on the railway contact network and the load information of the railway contact network, and control the online ice-melting module to melt ice according to the optimal online ice-melting control strategy.

[0009] Furthermore, the position determination unit determines a plurality of ice monitoring positions on the railway contact network, including: determining a plurality of first ice monitoring positions for testing on the railway contact network; collecting first test environment information of each of the first ice monitoring positions for testing; for any two adjacent first ice monitoring positions for testing, determining a first environment similarity of the two adjacent first ice monitoring positions for testing according to the first test environment information of the two adjacent first ice monitoring positions for testing; screening the plurality of first ice monitoring positions for testing according to the first environment similarity of any two adjacent first ice monitoring positions for testing, and determining a plurality of second ice monitoring positions for testing; determining a monitoring position density between two adjacent second ice monitoring positions for testing according to the first environment similarity of any two adjacent first ice monitoring positions for testing; for any two adjacent second ice monitoring positions for testing, determining a plurality of third ice monitoring positions for testing between the two adjacent second ice monitoring positions for testing according to the monitoring position density between the two adjacent second ice monitoring positions for testing. Measure the position; collect the second test environment information of each second test ice monitoring position and the third test environment information of each third test ice monitoring position; for any adjacent second test ice monitoring position and third test ice monitoring position, determine the second environment similarity of the adjacent second test ice monitoring position and the third test ice monitoring position according to the second test environment information of the second test ice monitoring position and the third test environment information of the third test ice monitoring position; for any two adjacent third test ice monitoring positions, determine the third environment similarity of the two adjacent third test ice monitoring positions according to the third test environment information of the two adjacent third test ice monitoring positions; according to the second environment similarity of the adjacent second test ice monitoring position and the third test ice monitoring position and the third environment similarity of any two adjacent third test ice monitoring positions, screen multiple second test ice monitoring positions and multiple third test ice monitoring positions to determine multiple ice monitoring positions on the railway contact network.

[0010] Further, the position determination unit determines ice association information between the multiple ice monitoring positions, including: collecting the fourth test environment information of each of the ice monitoring positions; for any two of the ice monitoring positions, calculating the ice association parameters of the two ice monitoring positions based on the fourth test environment information of the two ice monitoring positions; and determining the associated ice monitoring position of each of the ice monitoring positions based on the ice association parameters of any two of the ice monitoring positions, wherein the ice association information between the multiple ice monitoring positions includes the associated ice monitoring position of each of the ice monitoring positions.

[0011] Furthermore, the ice cover monitoring device includes a temperature monitoring device, a humidity monitoring device, a wind speed monitoring device and a pollutant monitoring device, wherein the temperature monitoring device is used to collect the ambient temperature, the humidity monitoring device is used to collect the ambient humidity, the wind speed monitoring device is used to collect the ambient wind speed, and the pollutant monitoring device is used to collect the target pollutant concentration in the environment.

[0012] Furthermore, the icing analysis module determines the real-time icing information of multiple icing monitoring locations on the railway contact network based on multiple environmental information of the icing monitoring locations collected by multiple icing monitoring devices and icing correlation information between the multiple icing monitoring locations, including: for each type of environmental information, determining the optimal decomposition parameters corresponding to the environmental information, wherein the optimal decomposition parameters at least include a target center frequency range, a penalty coefficient, and a convergence tolerance; for each of the icing monitoring locations, decomposing the multiple environmental information of the icing monitoring location according to the optimal decomposition parameters corresponding to each type of environmental information, obtaining a decomposed data set, and determining the initial single-point icing information of the icing monitoring location according to the decomposed data set; determining the real-time icing information of the multiple icing monitoring locations on the railway contact network according to the icing correlation information between the multiple icing monitoring locations and the initial single-point icing information of each icing monitoring location.

[0013] Furthermore, the icing analysis module determines the optimal decomposition parameters corresponding to the environmental information, including: obtaining multiple sections of simulation data of multiple sample information; for each type of sample information, determining the information characteristics of the sample information based on the multiple sections of simulation data of the sample information; for each type of sample information, determining the optimal decomposition parameters corresponding to the sample information based on the multiple sections of simulation data of the sample information; obtaining multiple sections of simulation data of the environmental information, wherein the multiple sections of simulation data correspond to multiple simulated icing scenarios; determining the information characteristics of the environmental information based on the multiple sections of simulation data of the environmental information; determining similar sample information based on the information characteristics of the environmental information and the information characteristics of each type of sample information; and determining the optimal decomposition parameters corresponding to the sample information based on the similar sample information. Decompose multiple segments of simulation data of the environmental information according to the multiple test decomposition parameter combinations corresponding to the environmental information to obtain a first test decomposition result, and determine the optimal penalty coefficient and the optimal convergence tolerance corresponding to the environmental information through a parameter evaluation function and the first test decomposition result; decompose multiple segments of simulation data of the environmental information based on the optimal penalty coefficient and the optimal convergence tolerance corresponding to the environmental information to obtain a second test decomposition result, and determine the target center frequency range corresponding to the environmental information based on the second test decomposition result.

[0014] Further, the icing analysis module determines the real-time icing information of multiple icing monitoring positions on the railway contact network according to the icing association information between the multiple icing monitoring positions and the initial single-point icing information of each icing monitoring position, including: S11, for each icing monitoring position, based on the initial single-point icing information of the icing monitoring position and the initial single-point icing information of the associated icing monitoring position, the initial single-point icing information of the icing monitoring position is updated; S12, according to the initial single-point icing information before the update and the initial single-point icing information after the update of each icing monitoring position, the global adjustment degree of icing information is determined; S13, judging whether the global adjustment degree of icing information is greater than the global adjustment degree threshold of icing information, if so, executing S11, if not, executing S14; S14, for each icing monitoring position, using the updated initial single-point icing information of the icing monitoring position as the real-time icing information of the icing monitoring position.

[0015] Furthermore, the AC ice-melting device includes a positive current generator and a negative current generator, the positive current generator is installed in the traction substation of the railway contact network, and the negative current generator is installed in the substation of the railway contact network. The two ends of the positive current generator and the negative current generator are respectively connected in parallel to the up line and the down line. When the ice-covered line of the railway contact network needs to be melted, the negative current generator injects an inductive reactive current into the ice-covered line of the railway contact network to increase the current of the ice-covered line of the railway contact network. At the same time, the positive current generator injects a capacitive reactive current into the railway contact network to ensure that the voltage of the ice-covered line connected to the railway contact network is stable within a preset voltage range, and the current of the ice-covered line of the railway contact network is limited within a preset current range to perform ice-melting operations on the contact network. When the railway contact network does not need to be melted, the AC ice-melting device acts as a reactive compensation device to perform reactive compensation on the railway contact network.

[0016] Furthermore, the ice melting control module determines the optimal online ice melting control strategy according to the real-time ice covering information of the multiple ice covering monitoring positions on the railway contact network and the load information of the railway contact network, including: determining the online ice melting mode according to the real-time ice covering information of the multiple ice covering monitoring positions on the railway contact network and the load information of the railway contact network; determining the target ice melting equipment according to the real-time ice covering information of the multiple ice covering monitoring positions on the railway contact network and the online ice melting mode, wherein the target ice melting equipment is at least one of the multiple AC ice melting devices, the multiple heating ice melting devices and the multiple vibration ice melting devices; determining the working parameters of the target ice melting equipment according to the real-time ice covering information of the multiple ice covering monitoring positions on the railway contact network.

[0017] The present invention provides an AC online ice melting control method for an electrified railway contact network, which is applied to the above-mentioned AC online ice melting control system for an electrified railway contact network, comprising: determining a plurality of ice-covered monitoring positions on the railway contact network, and determining ice-covered correlation information between the plurality of ice-covered monitoring positions; arranging an ice-covered monitoring device at each of the ice-covered monitoring positions, wherein the ice-covered monitoring device is used to collect a variety of environmental information at the ice-covered monitoring position; determining real-time ice-covered information at the plurality of ice-covered monitoring positions on the railway contact network according to the plurality of environmental information at the ice-covered monitoring positions collected by the plurality of ice-covered monitoring devices and the ice-covered correlation information between the plurality of ice-covered monitoring positions; and determining the real-time ice-covered information at the plurality of ice-covered monitoring positions on the railway contact network according to the plurality of environmental information at the ice-covered monitoring positions collected by the plurality of ice-covered monitoring devices and the ice-covered correlation information between the plurality of ice-covered monitoring positions. The optimal online ice-melting control strategy is determined based on the real-time ice-melting information of multiple ice-melting monitoring positions on the contact network and the load information of the railway contact network; the AC ice-melting unit, the heating ice-melting unit and the vibration ice-melting unit are controlled to melt ice according to the optimal online ice-melting control strategy, wherein the AC ice-melting unit includes multiple AC ice-melting devices, and the AC ice-melting devices are used to increase the current of the ice-covered line of the railway contact network; the heating ice-melting unit includes multiple heating ice-melting devices, and the heating ice-melting devices are used to heat the ice-covered line of the railway contact network; the vibration ice-melting unit includes multiple vibration ice-melting devices, and the vibration ice-melting device is used to trigger the ice-covered line of the railway contact network to vibrate.

[0018] Compared with the prior art, the present invention provides an AC online ice melting control method and system for an electrified railway overhead contact network, which has at least the following beneficial effects:

[0019] 1. Through the real-time monitoring module, multiple ice monitoring locations on the railway contact network can be accurately determined, and various environmental information of these locations can be collected. It can monitor the early stage of ice formation, so as to take ice melting measures in advance, effectively preventing power outages or equipment damage caused by large-scale ice. It can determine the real-time ice information on the railway contact network based on the information collected by multiple ice monitoring devices and ice-related information. This precise analysis helps to understand the distribution, thickness and possible impact of ice, and provide strong support for subsequent ice melting work. AC ice melting unit, heating ice melting unit and vibration ice melting unit, these units can be used alone or in combination to meet the ice melting needs in different situations. The AC ice melting device melts the ice by increasing the current, the heating ice melting device directly heats the ice-covered line, and the vibration ice melting device causes the ice to fall off by vibration. This diversified ice melting method improves the efficiency and flexibility of ice melting. It can determine the optimal online ice melting control strategy based on real-time ice information and load information of the railway contact network. This intelligent control strategy can ensure that ice is melted in the most effective way without affecting the normal operation of the railway. At the same time, it can also adjust the ice melting strategy according to the load conditions to avoid placing excessive burden on the power grid.

[0020] 2. By collecting environmental information at the first test ice monitoring position and screening according to the environmental similarity, it can be ensured that the selected monitoring position can more accurately reflect the ice condition of the railway contact network. Further inserting more monitoring points between the second test ice monitoring position and the third test ice monitoring position and screening according to the environmental similarity between them can further improve the meticulousness and accuracy of monitoring. By calculating the environmental similarity between any two adjacent monitoring positions, the areas with high environmental information similarity can be identified, thereby reducing the number of monitoring points in these areas and avoiding waste of resources. At the same time, adding monitoring points in areas with large changes in environmental information can more comprehensively cover different environmental conditions and improve the adaptability and flexibility of the system. Through a reasonable layout of monitoring positions, unnecessary monitoring point settings can be reduced, thereby reducing the procurement, installation and maintenance costs of monitoring equipment. At the same time, since the selection of monitoring positions is more scientific, the additional inspection and maintenance costs caused by false alarms or missed alarms can be reduced. Through accurate monitoring position selection and optimized monitoring layout, areas with severe ice can be identified more quickly and corresponding ice melting measures can be taken, thereby improving the response speed and efficiency of the entire system. In addition, precise monitoring can also provide more accurate data support for the ice melting control module, enabling it to formulate a more optimized ice melting control strategy.

[0021] 3. An intelligent decision-making process is achieved by automatically determining similar sample information, test decomposition parameter combinations, optimal penalty coefficients, and optimal convergence tolerances. This not only reduces the need for manual intervention, but also improves the speed and accuracy of decision-making. The optimal decomposition parameters are determined by parameter evaluation functions and decomposition results, which can greatly save computing resources and time. At the same time, by decomposing multiple segments of simulation data based on the optimal decomposition parameters, the target center frequency range can be obtained more quickly, thereby responding to icing conditions more quickly. It can be continuously optimized and improved as more data is accumulated, and its performance can be continuously improved to adapt to new icing scenarios or environmental conditions that may appear in the future. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] This specification will be further described in the form of exemplary embodiments, which will be described in detail by the accompanying drawings. These embodiments are not restrictive, and in these embodiments, the same number represents the same structure, wherein:

[0023] Figure 1 It is a module schematic diagram of an AC online ice melting control system for an electrified railway overhead contact network according to some embodiments of this specification;

[0024] Figure 2 is a schematic diagram of a process for determining a plurality of ice coverage monitoring positions on the railway contact network according to some embodiments of this specification;

[0025] Figure 3 is a schematic diagram of a process for determining optimal decomposition parameters corresponding to environmental information according to some embodiments of this specification;

[0026] Figure 4 is a schematic diagram of the structure of an AC ice melting device according to some embodiments of this specification;

[0027] Figure 5 It is a flow chart of an AC online ice melting control method for an electrified railway contact network according to some embodiments of the present specification.

[0028] In the figure, 1. traction substation; 2. substation; 3. up line; 4. down line; 5. positive current generator; 6. negative current generator. DETAILED DESCRIPTION

[0029] In order to more clearly illustrate the technical solutions of the embodiments of this specification, the following is a brief introduction to the drawings required for the description of the embodiments. Obviously, the drawings described below are only some examples or embodiments of this specification. For ordinary technicians in this field, this specification can also be applied to other similar scenarios based on these drawings without creative work. Unless it is obvious from the language environment or otherwise explained, the same reference numerals in the figures represent the same structure or operation.

[0030] Figure 1 is a module schematic diagram of an AC online ice melting control system for an electrified railway overhead line according to some embodiments of this specification, such as Figure 1 As shown, an AC online ice melting control system for an electrified railway overhead line may include a real-time monitoring module, an ice analysis module, an online ice melting module and an ice melting control module.

[0031] The real-time monitoring module may include a position determination unit and an icing monitoring unit, wherein the position determination unit is used to determine multiple icing monitoring positions on the railway contact network and determine icing correlation information between the multiple icing monitoring positions, and the icing monitoring unit includes an icing monitoring device arranged at each icing monitoring position, and the icing monitoring device is used to collect various environmental information of the icing monitoring position.

[0032] Figure 2 is a schematic diagram of a process for determining multiple ice coverage monitoring locations on a railway contact network according to some embodiments of this specification, such as Figure 2 As shown, as a preferred embodiment, the location determination unit determines a plurality of ice coverage monitoring locations on the railway contact network, including:

[0033] Determine a plurality of first test ice monitoring positions on the railway contact network, for example, a plurality of first test ice monitoring positions are evenly arranged on each railway contact network;

[0034] Collecting first test environment information of each first test ice monitoring position, wherein the first test environment information may include a variety of environment information of the first test ice monitoring position in the first test time period, such as environment temperature, environment humidity, environment wind speed and target pollutant concentration;

[0035] For any two adjacent first test ice-covering monitoring positions, determining the first environment similarity of the two adjacent first test ice-covering monitoring positions according to the first test environment information of the two adjacent first test ice-covering monitoring positions;

[0036] According to the first environmental similarity of any two adjacent first test ice monitoring positions, a plurality of first test ice monitoring positions are screened to determine a plurality of second test ice monitoring positions;

[0037] Determine the monitoring position density between two adjacent second test ice coverage monitoring positions according to the first environment similarity of any two adjacent first test ice coverage monitoring positions;

[0038] For any two adjacent second test ice monitoring positions, a plurality of third test ice monitoring positions are determined between the two adjacent second test ice monitoring positions according to the monitoring position density between the two adjacent second test ice monitoring positions;

[0039] Collecting second test environment information of each second test ice monitoring position and third test environment information of each third test ice monitoring position, wherein the second test environment information may include a variety of environment information of the second test ice monitoring position in the second test time period, such as environment temperature, environment humidity, environment wind speed and target pollutant concentration, and the third test environment information may include a variety of environment information of the second test ice monitoring position in the third test time period, such as environment temperature, environment humidity, environment wind speed and target pollutant concentration;

[0040] For any adjacent second test ice monitoring position and third test ice monitoring position, determine the second environment similarity between the adjacent second test ice monitoring position and the third test ice monitoring position according to the second test environment information of the second test ice monitoring position and the third test environment information of the third test ice monitoring position;

[0041] For any two adjacent third test ice-covered monitoring positions, determining the third environment similarity of the two adjacent third test ice-covered monitoring positions according to the third test environment information of the two adjacent third test ice-covered monitoring positions;

[0042] According to the second environment similarity of the adjacent second test ice monitoring positions and the third test ice monitoring positions and the third environment similarity of any two adjacent third test ice monitoring positions, multiple second test ice monitoring positions and multiple third test ice monitoring positions are screened to determine multiple ice monitoring positions on the railway contact network.

[0043] Specifically, the first environment similarity of two adjacent first test ice monitoring locations may be calculated according to the following formula:

[0044]

[0045] Among them, S ((i,j),environment1) is the first environment similarity between the adjacent i-th first test ice monitoring position and the j-th first test ice monitoring position, is the weight corresponding to the m1th environmental information, greater than 0, is the similarity between the adjacent i-th first test ice monitoring position and the j-th first test ice monitoring position corresponding to the m1-th type of environmental information, M1 is the total number of environmental information, is the value corresponding to the m1th environmental information at the t1th test time point in the first test environmental information of the i-th first test ice monitoring position, is the value corresponding to the m1th environmental information at the t1th test time point in the first test environmental information of the jth first test ice monitoring position, and T1 is the total number of test time points corresponding to the first test environmental information.

[0046] For any two adjacent first test ice monitoring positions, if the first environment similarity of the two adjacent first test ice monitoring positions is greater than the first environment similarity threshold, one of the two adjacent first test ice monitoring positions is eliminated, and the other first test ice monitoring position is retained as the second test ice monitoring position.

[0047] The monitoring position density between two adjacent second test ice monitoring positions can be determined based on the following formula:

[0048]

[0049] Among them, ρ (i,j) is the monitoring position density between the adjacent i-th second test ice monitoring position and the j-th second test ice monitoring position, S (0,environment2) is the preset second environment similarity, S ((i,j),environment2) is the second environment similarity between the adjacent i-th second test ice coverage monitoring position and the j-th second test ice coverage monitoring position, and ρ0 is the preset monitoring position density.

[0050] If the second environment similarity between the adjacent second test ice monitoring position and the third test ice monitoring position is greater than the second environment similarity threshold, one of the adjacent second test ice monitoring position and the third test ice monitoring position is eliminated and the other is retained as the ice monitoring position.

[0051] If the third environment similarity of two adjacent third test ice monitoring positions is greater than the third environment similarity threshold, one of the two adjacent third test ice monitoring positions is removed and the other third test ice monitoring position is retained as the ice monitoring position.

[0052] The calculation method of the second environment similarity and the third environment similarity is similar to the calculation method of the first environment similarity, which will not be repeated here.

[0053] Preferably, the location determination unit determines ice-covering association information between a plurality of ice-covering monitoring locations, including:

[0054] Collecting fourth test environment information of each ice coverage monitoring position, wherein the fourth test environment information may include a variety of environment information of the ice coverage monitoring position in a fourth test time period, for example, environment temperature, environment humidity, environment wind speed and target pollutant concentration;

[0055] For any two icing monitoring positions, calculating icing correlation parameters of the two icing monitoring positions according to the fourth test environment information of the two icing monitoring positions;

[0056] According to the ice-covering association parameters of any two ice-covering monitoring positions, the associated ice-covering monitoring position of each ice-covering monitoring position is determined, wherein the ice-covering association information between the multiple ice-covering monitoring positions includes the associated ice-covering monitoring position of each ice-covering monitoring position.

[0057] For example, the ice correlation parameters of two ice monitoring locations can be calculated according to the following formula:

[0058]

[0059]

[0060] Among them, C ((i,j),icing) is the ice correlation parameter between the ith ice monitoring location and the jth ice monitoring location, is the correlation parameter between the i-th icing monitoring position and the j-th icing monitoring position corresponding to the m1-th environmental information, is the weight corresponding to the m1th environmental information, greater than 0, T4 is the total number of test time points corresponding to the fourth test environment information, is the value corresponding to the m1-th environmental information at the t4-th test time point in the fourth test environmental information of the i-th ice monitoring position, It is the value corresponding to the m1th environmental information at the t4th test time point in the fourth test environmental information of the jth ice monitoring position.

[0061] For each icing monitoring position, when there is another icing monitoring position whose icing associated parameter with the icing monitoring position is greater than the icing associated parameter threshold, the other icing monitoring position is the associated icing monitoring position of the icing monitoring position.

[0062] Preferably, the ice cover monitoring device includes a temperature monitoring device, a humidity monitoring device, a wind speed monitoring device and a pollutant monitoring device, wherein the temperature monitoring device is used to collect the ambient temperature, the humidity monitoring device is used to collect the ambient humidity, the wind speed monitoring device is used to collect the ambient wind speed, and the pollutant monitoring device is used to collect the concentration of target pollutants (for example, PM2.5, PM10, etc.) in the environment.

[0063] The icing analysis module can be used to determine the real-time icing information of multiple icing monitoring locations on the railway contact network based on various environmental information of the icing monitoring locations collected by multiple icing monitoring devices and icing association information between multiple icing monitoring locations.

[0064] Specifically include:

[0065] For each type of environmental information, determining optimal decomposition parameters corresponding to the environmental information, wherein the optimal decomposition parameters at least include a target center frequency range, a penalty coefficient, and a convergence tolerance;

[0066] For each icing monitoring location, decompose the various environmental information of the icing monitoring location according to the optimal decomposition parameters corresponding to each type of environmental information, obtain the decomposed data set, and determine the initial single-point icing information of the icing monitoring location according to the decomposed data set;

[0067] According to the icing association information between the multiple icing monitoring positions and the initial single-point icing information of each icing monitoring position, the real-time icing information of the multiple icing monitoring positions on the railway contact network is determined.

[0068] Figure 3 is a flow chart of determining the optimal decomposition parameters corresponding to the environmental information according to some embodiments of this specification, such as Figure 3 As shown, preferably, the ice analysis module determines the optimal decomposition parameters corresponding to the environmental information, including:

[0069] Get multiple segments of simulation data with various sample information;

[0070] For each type of sample information, based on multiple segments of simulated data of the sample information, determine information characteristics of the sample information, such as mean, variance, standard deviation, time domain characteristics, frequency domain characteristics, etc.;

[0071] For each type of sample information, based on multiple segments of simulated data of the sample information, determine the optimal decomposition parameter corresponding to the sample information;

[0072] Acquire multiple segments of simulation data of environmental information, wherein the multiple segments of simulation data correspond to multiple simulated icing scenarios;

[0073] Determine information characteristics of the environmental information based on multiple simulated data of the environmental information;

[0074] Determine similar sample information based on information features of the environmental information and information features of each sample information;

[0075] Based on the optimal decomposition parameters of similar sample information, multiple test decomposition parameter combinations corresponding to the environmental information are determined, wherein the test decomposition parameter combinations include a test penalty coefficient and a test convergence tolerance;

[0076] Decomposing multiple segments of simulation data of the environmental information according to multiple test decomposition parameter combinations corresponding to the environmental information, obtaining a first test decomposition result, and determining an optimal penalty coefficient and an optimal convergence tolerance corresponding to the environmental information through a parameter evaluation function and the first test decomposition result;

[0077] Based on the optimal penalty coefficient and optimal convergence tolerance corresponding to the environmental information, multiple segments of simulation data of the environmental information are decomposed (i.e., variational mode decomposition), a decomposition result for a second test is obtained, and the target center frequency range corresponding to the environmental information is determined based on the decomposition result for the second test.

[0078] Specifically, the cosine similarity between the information feature of the environment information and the information feature of the sample information may be calculated, and the sample information whose cosine similarity is greater than a cosine similarity threshold may be regarded as similar sample information.

[0079] The penalty coefficient controls the bandwidth and smoothness of the modal components in modal decomposition. Increasing the penalty coefficient will make the modal components smoother, but it may also cause problems such as over-smoothing and modal aliasing, which will affect the accuracy of the center frequency. On the contrary, reducing the penalty coefficient may make the modal components sharper, but it may introduce noise and false modes, which will also affect the stability of the center frequency. Therefore, the selection of the penalty coefficient needs to find a balance between smoothness and sharpness to ensure the accuracy of the center frequency.

[0080] The convergence tolerance is used to control the convergence accuracy of modal decomposition. If the convergence tolerance is set too large, the algorithm may stop iterating before reaching the optimal solution, resulting in inaccurate center frequencies of modal components. On the contrary, if the convergence tolerance is set too small, although the convergence accuracy of the algorithm can be improved, the calculation time and complexity will increase, and the algorithm may even fail to converge. Therefore, the selection of the convergence tolerance requires finding a balance between computational efficiency and convergence accuracy.

[0081] Based on the optimal decomposition parameters of similar sample information, determine the test penalty coefficient range and the test convergence tolerance range, sample a value from the test penalty coefficient range, and sample a value from the test convergence tolerance range to form a test decomposition parameter combination. Perform multiple extractions until the number of test decomposition parameter combinations exceeds the quantity threshold.

[0082] The parameter evaluation function can be:

[0083] F (α,tol) =c 11 ×P1+c 12 ×P2+c 13 ×P3+c 14 ×P4

[0084]

[0085]

[0086] Among them, F (α,tol) is the parameter evaluation function, P1 is the bandwidth index score, P2 is the frequency stability index score, P3 is the reconstruction accuracy index score, P4 is the computational efficiency index score, and c 11 、c 12 、c 13 and c 14 is the preset weight, c 11 、c 12 、c 13 and c 14 is greater than 0, and c 11 +c 12 +c 13 +c 14 =1, N is the total number of simulation data, M2 is the total number of intrinsic mode functions corresponding to the n1th simulation data, is the bandwidth of the m2th intrinsic mode function corresponding to the n1th simulation data, is the center frequency similarity between the n1th simulated data and the n2th simulated data, is the center frequency sequence of the n1th simulation data, the center frequency sequence includes the center frequency of each eigenmode function corresponding to the n1th simulation data, is the center frequency sequence of the n2th simulated data, is the cosine similarity between the center frequency sequence of the n1th simulated data and the center frequency sequence of the n2th simulated data, is the original data of the n1th simulation data, is the data reconstructed based on the intrinsic mode function corresponding to the n1th simulation data, is the cosine similarity between the original data of the n1th simulation data and the data reconstructed according to the intrinsic mode function corresponding to the n1th simulation data, is the time to decompose the n1th simulation data.

[0087] Based on the optimal penalty coefficient and the optimal convergence tolerance corresponding to the environmental information, multiple segments of simulation data of the environmental information are decomposed to determine the center frequency of each intrinsic mode function obtained by the decomposition, and the target center frequency range is determined according to the center frequency of each intrinsic mode function obtained by the decomposition through the frequency range determination model, wherein the frequency range determination model can be a Convolutional Neural Network (CNN) model.

[0088] As an example only, assume that there are sample information 1 and sample information 2, where sample information 1 is the vibration performance of a metal material under multiple test conditions, and sample information 2 is the temperature performance of a metal material under multiple test conditions. For each sample information's multiple simulated data, the mean, variance, standard deviation, time domain features, frequency domain features, etc. of each simulated data are calculated, and the mean, variance, standard deviation, time domain features, frequency domain features, etc. of each simulated data are fitted to generate the mean, variance, standard deviation, time domain features, and frequency domain features of the sample information. Genetic algorithm is used to determine the optimal decomposition parameters for each sample information. Five different icing scenes are simulated, and each scene contains multiple environmental information data, such as temperature, humidity, wind speed, and precipitation. For each icing scene's multiple simulated data, for each environmental information, the mean, variance, standard deviation, time domain features, frequency domain features, etc. of the environmental information are calculated. The cosine similarity between the information features of the environmental information and the information features of the sample information is calculated, and the sample information whose cosine similarity is greater than the cosine similarity threshold is taken as similar sample information. For example, for the ambient temperature, sample information 1 is determined to be similar sample information. Based on the optimal decomposition parameters of the similar sample information, a variety of test decomposition parameter combinations are generated for the ambient temperature, including different penalty coefficients and convergence tolerances, such as test decomposition parameter combination: penalty coefficient = 2000, convergence tolerance = 1e-7; test decomposition parameter combination 2: penalty coefficient = 3000, convergence tolerance = 1e-6, etc. Each test decomposition parameter combination is decomposed, and the parameter evaluation function is used to evaluate the effect of each combination. The optimal penalty coefficient and convergence tolerance are determined, for example, penalty coefficient = 2500, convergence tolerance = 1e-7. The optimal penalty coefficient and convergence tolerance are used to decompose multiple segments of simulation data of the ambient information to obtain the second test decomposition result. Based on the second test decomposition result, the center frequency of the modal component obtained by decomposition is analyzed, and the target center frequency range is determined, for example, 45-55Hz.

[0089] Preferably, the icing analysis module determines the real-time icing information of multiple icing monitoring positions on the railway contact network according to the icing association information between the multiple icing monitoring positions and the initial single-point icing information of each icing monitoring position, including:

[0090] S11. For each icing monitoring position, based on the initial single-point icing information of the icing monitoring position and the initial single-point icing information of the associated icing monitoring position, the initial single-point icing information of the icing monitoring position is updated. It can be understood that the initial single-point icing information before the update of each iteration of the icing monitoring position is the updated initial single-point icing information of the previous iteration. Specifically, the initial single-point icing information of the icing monitoring position can be updated based on the initial single-point icing information of the icing monitoring position and the initial single-point icing information of the associated icing monitoring position through an information update model, wherein the information update model can be a convolutional neural network model.

[0091] S12, determining the global adjustment degree of ice information according to the initial single-point ice information before updating and the initial single-point ice information after updating of each ice monitoring location, specifically, calculating the cosine similarity of the initial single-point ice information before updating and the initial single-point ice information after updating of the ice monitoring location, averaging the cosine similarities of the initial single-point ice information before updating and the initial single-point ice information after updating of each ice monitoring location, and taking the inverse of the average result as the global adjustment degree of ice information;

[0092] S13, determining whether the global adjustment degree of ice coverage information is greater than the global adjustment degree threshold of ice coverage information, if so, executing S11, if not, executing S14;

[0093] S14: For each icing monitoring position, the updated initial single-point icing information of the icing monitoring position is used as the real-time icing information of the icing monitoring position.

[0094] The online ice-melting module may include an AC ice-melting unit, a heating ice-melting unit and a vibration ice-melting unit, wherein the AC ice-melting unit includes multiple AC ice-melting devices, which are used to increase the current of the ice-covered line of the railway contact network; the heating ice-melting unit includes multiple heating ice-melting devices, which are used to heat the ice-covered line of the railway contact network; the vibration ice-melting unit includes multiple vibration ice-melting devices, which are used to trigger the ice-covered line of the railway contact network to vibrate.

[0095] Figure 4 is a schematic diagram of the structure of an AC ice melting device according to some embodiments of this specification, such as Figure 4As shown, preferably, the AC ice-melting device includes a positive current generator 5 and a negative current generator 6. The positive current generator 5 is installed in the traction substation 1 of the railway contact network, and the negative current generator 6 is installed in the substation 2 of the railway contact network. The two ends of the positive current generator 5 and the negative current generator 6 are respectively connected in parallel to the up line 3 and the down line 4. When the ice-covered line of the railway contact network needs to be melted, the negative current generator 6 injects an inductive reactive current into the ice-covered line of the railway contact network to increase the current of the ice-covered line of the railway contact network. At the same time, the positive current generator 5 injects a capacitive reactive current into the railway contact network to ensure that the voltage of the ice-covered line connected to the railway contact network is stable within a preset voltage range, and the current of the ice-covered line of the railway contact network is limited within a preset current range to perform ice-melting operations on the contact network. When the railway contact network does not need to be melted, the AC ice-melting device acts as a reactive compensation device to perform reactive compensation on the railway contact network.

[0096] The ice melting control module can be used to determine the optimal online ice melting control strategy based on the real-time ice information of multiple ice monitoring locations on the railway contact network and the load information of the railway contact network, and control the online ice melting module to melt ice according to the optimal online ice melting control strategy.

[0097] Preferably, the ice melting control module determines the optimal online ice melting control strategy according to the real-time ice covering information of multiple ice covering monitoring positions on the railway contact network and the load information of the railway contact network, including:

[0098] According to the real-time ice information of multiple ice monitoring positions on the railway contact network and the load information of the railway contact network, the online ice melting mode is determined, wherein the online ice melting mode is one of the AC ice melting unit single working mode, the heating ice melting unit single working mode, the vibration ice melting unit single working mode, the AC ice melting unit and the heating ice melting unit cooperative working mode, the AC ice melting unit and the vibration ice melting unit cooperative working mode, the heating ice melting unit and the vibration ice melting unit cooperative working mode, and the AC ice melting unit, the heating ice melting unit and the vibration ice melting unit cooperative working mode;

[0099] Determine a target ice melting device according to real-time ice information and online ice melting modes of multiple ice monitoring locations on the railway contact network, wherein the target ice melting device is at least one of multiple AC ice melting devices, multiple heating ice melting devices, and multiple vibration ice melting devices;

[0100] Based on the real-time icing information from multiple icing monitoring locations on the railway contact network, the operating parameters of the target ice-melting equipment are determined.

[0101] Specifically, the online ice melting mode can be determined by a mode determination model according to real-time ice information of multiple ice monitoring locations on the railway contact network and load information of the railway contact network. The mode determination model can be a convolutional neural network model.

[0102] The target ice-melting equipment can be determined by the equipment determination model according to the real-time ice information and online ice-melting mode of multiple ice-covering monitoring locations on the railway contact network, wherein the equipment determination model can be a convolutional neural network model.

[0103] The parameter determination model determines the working parameters of the target ice melting equipment according to the real-time ice information of multiple ice monitoring locations on the railway contact network, wherein the parameter determination model can be a convolutional neural network model.

[0104] Figure 5 is a flow chart of an AC online ice melting control method for an electrified railway contact network according to some embodiments of this specification, such as Figure 5 As shown, an AC online ice melting control method for an electrified railway contact network may include the following steps.

[0105] Step 510, determining a plurality of ice-covering monitoring positions on the railway contact network, and determining ice-covering association information between the plurality of ice-covering monitoring positions;

[0106] Step 520, setting an ice monitoring device at each ice monitoring position, wherein the ice monitoring device is used to collect a variety of environmental information of the ice monitoring position;

[0107] Step 530, determining real-time icing information of multiple icing monitoring locations on the railway contact network based on multiple environmental information of the icing monitoring locations collected by multiple icing monitoring devices and icing association information between multiple icing monitoring locations;

[0108] Step 540, determining an optimal online ice melting control strategy according to real-time ice information of multiple ice monitoring locations on the railway contact network and load information of the railway contact network;

[0109] Step 550, controlling the AC ice-melting unit, the heating ice-melting unit and the vibration ice-melting unit to melt ice according to the optimal online ice-melting control strategy, wherein the AC ice-melting unit includes a plurality of AC ice-melting devices, and the AC ice-melting devices are used to increase the current of the ice-covered line of the railway contact network; the heating ice-melting unit includes a plurality of heating ice-melting devices, and the heating ice-melting devices are used to heat the ice-covered line of the railway contact network; the vibration ice-melting unit includes a plurality of vibration ice-melting devices, and the vibration ice-melting device is used to trigger the ice-covered line of the railway contact network to vibrate.

[0110] An AC online ice-melting control method for an electrified railway contact network can be applied to the above-mentioned AC online ice-melting control system for an electrified railway contact network. For more descriptions of an AC online ice-melting control method for an electrified railway contact network, please refer to the relevant descriptions of an AC online ice-melting control system for an electrified railway contact network, which will not be repeated here.

[0111] Finally, it should be understood that the embodiments described in this specification are only used to illustrate the principles of the embodiments of this specification. Other variations may also fall within the scope of this specification. Therefore, as an example and not a limitation, alternative configurations of the embodiments of this specification may be considered consistent with the teachings of this specification. Accordingly, the embodiments of this specification are not limited to the embodiments explicitly introduced and described in this specification.

Claims

1. An AC online ice melting control system for an electrified railway overhead contact network, characterized in that: include: A real-time monitoring module, comprising a position determination unit and an icing monitoring unit, wherein the position determination unit is used to determine a plurality of icing monitoring positions on the railway contact network and determine icing association information between the plurality of icing monitoring positions, and the icing monitoring unit comprises an icing monitoring device arranged at each of the icing monitoring positions, and the icing monitoring device is used to collect a variety of environmental information of the icing monitoring positions; An icing analysis module, used to determine real-time icing information of multiple icing monitoring positions on the railway contact network based on multiple environmental information of icing monitoring positions collected by multiple icing monitoring devices and icing association information between the multiple icing monitoring positions; An online ice-melting module, comprising an AC ice-melting unit, a heating ice-melting unit and a vibration ice-melting unit, wherein the AC ice-melting unit comprises a plurality of AC ice-melting devices, and the AC ice-melting devices are used to increase the current of the ice-covered line of the railway contact network; the heating ice-melting unit comprises a plurality of heating ice-melting devices, and the heating ice-melting devices are used to heat the ice-covered line of the railway contact network; the vibration ice-melting unit comprises a plurality of vibration ice-melting devices, and the vibration ice-melting devices are used to trigger the ice-covered line of the railway contact network to vibrate; The ice melting control module is used to determine the optimal online ice melting control strategy according to the real-time ice covering information of multiple ice covering monitoring positions on the railway contact network and the load information of the railway contact network, and control the online ice melting module to melt ice according to the optimal online ice melting control strategy.

2. The AC online ice melting control system for an electrified railway overhead contact network according to claim 1, characterized in that: The position determination unit determines a plurality of ice coverage monitoring positions on the railway contact network, including: Determine a plurality of first test ice monitoring locations on the railway contact network; Collecting first test environment information of each first test ice monitoring location; For any two adjacent first test ice monitoring positions, determining the first environment similarity of the two adjacent first test ice monitoring positions according to the first test environment information of the two adjacent first test ice monitoring positions; According to the first environmental similarity of any two adjacent first test ice monitoring positions, the plurality of first test ice monitoring positions are screened to determine a plurality of second test ice monitoring positions; Determine the monitoring position density between two adjacent second test ice coverage monitoring positions according to the first environment similarity of any two adjacent first test ice coverage monitoring positions; For any two adjacent second test ice monitoring positions, a plurality of third test ice monitoring positions are determined between the two adjacent second test ice monitoring positions according to the monitoring position density between the two adjacent second test ice monitoring positions; Collecting the second test environment information of each of the second test ice covering monitoring positions and the third test environment information of each of the third test ice covering monitoring positions; For any adjacent second test ice monitoring position and third test ice monitoring position, determine the second environment similarity between the adjacent second test ice monitoring position and the third test ice monitoring position according to the second test environment information of the second test ice monitoring position and the third test environment information of the third test ice monitoring position; For any two adjacent third test ice monitoring positions, determining the third environment similarity of the two adjacent third test ice monitoring positions according to the third test environment information of the two adjacent third test ice monitoring positions; According to the second environment similarity of the adjacent second test ice monitoring positions and the third test ice monitoring positions and the third environment similarity of any two adjacent third test ice monitoring positions, multiple second test ice monitoring positions and multiple third test ice monitoring positions are screened to determine the multiple ice monitoring positions on the railway contact network.

3. The AC online ice melting control system for an electrified railway overhead contact network according to claim 1, characterized in that: The position determination unit determines ice coating association information between the plurality of ice coating monitoring positions, including: Collecting fourth test environment information of each of the ice coverage monitoring locations; For any two of the ice monitoring positions, calculating the ice correlation parameters of the two ice monitoring positions according to the fourth test environment information of the two ice monitoring positions; According to the ice-covering association parameters of any two of the ice-covering monitoring positions, the associated ice-covering monitoring position of each of the ice-covering monitoring positions is determined, wherein the ice-covering association information between the multiple ice-covering monitoring positions includes the associated ice-covering monitoring position of each of the ice-covering monitoring positions.

4. The AC online ice melting control system for an electrified railway overhead contact network according to claim 1, characterized in that: The ice cover monitoring device includes a temperature monitoring device, a humidity monitoring device, a wind speed monitoring device and a pollutant monitoring device, wherein the temperature monitoring device is used to collect the ambient temperature, the humidity monitoring device is used to collect the ambient humidity, the wind speed monitoring device is used to collect the ambient wind speed, and the pollutant monitoring device is used to collect the target pollutant concentration in the environment.

5. The AC online ice melting control system for an electrified railway overhead contact network according to claim 3, characterized in that: The icing analysis module determines the real-time icing information of the multiple icing monitoring positions on the railway contact network according to the multiple environmental information of the icing monitoring positions collected by the multiple icing monitoring devices and the icing association information between the multiple icing monitoring positions, including: For each type of environmental information, determining the optimal decomposition parameters corresponding to the environmental information, wherein the optimal decomposition parameters at least include a target center frequency range, a penalty coefficient, and a convergence tolerance; For each of the ice monitoring locations, decompose the multiple environmental information of the ice monitoring location according to the optimal decomposition parameters corresponding to each type of environmental information, obtain a decomposed data set, and determine the initial single-point ice information of the ice monitoring location according to the decomposed data set; According to the ice-covering association information between the multiple ice-covering monitoring positions and the initial single-point ice-covering information of each of the ice-covering monitoring positions, the real-time ice-covering information of the multiple ice-covering monitoring positions on the railway contact network is determined.

6. The AC online ice melting control system for an electrified railway overhead contact network according to claim 5, characterized in that: The ice analysis module determines the optimal decomposition parameters corresponding to the environmental information, including: Get multiple segments of simulation data with various sample information; For each type of sample information, determining information features of the sample information based on multiple segments of simulation data of the sample information; For each type of sample information, based on multiple segments of simulation data of the sample information, determine the optimal decomposition parameter corresponding to the sample information; Acquire multiple segments of simulation data of the environmental information, wherein the multiple segments of simulation data correspond to multiple simulated icing scenarios; Determining information characteristics of the environmental information based on multiple segments of simulation data of the environmental information; Determining similar sample information based on the information features of the environmental information and the information features of each type of sample information; Based on the optimal decomposition parameters of the similar sample information, determining a plurality of test decomposition parameter combinations corresponding to the environmental information, wherein the test decomposition parameter combinations include a test penalty coefficient and a test convergence tolerance; Decomposing multiple segments of simulation data of the environmental information according to multiple test decomposition parameter combinations corresponding to the environmental information, obtaining a first test decomposition result, and determining an optimal penalty coefficient and an optimal convergence tolerance corresponding to the environmental information through a parameter evaluation function and the first test decomposition result; Based on the optimal penalty coefficient and the optimal convergence tolerance corresponding to the environmental information, multiple segments of simulation data of the environmental information are decomposed to obtain a decomposition result for a second test, and based on the decomposition result for the second test, a target center frequency range corresponding to the environmental information is determined.

7. The AC online ice melting control system for an electrified railway overhead contact network according to claim 5, characterized in that: The icing analysis module determines the real-time icing information of the multiple icing monitoring positions on the railway contact network according to the icing association information between the multiple icing monitoring positions and the initial single-point icing information of each icing monitoring position, including: S11, for each of the ice monitoring positions, based on the initial single-point ice information of the ice monitoring position and the initial single-point ice information of the associated ice monitoring positions of the ice monitoring position, updating the initial single-point ice information of the ice monitoring position; S12, determining a global adjustment degree of ice information according to the initial single-point ice information before updating and the initial single-point ice information after updating of each ice monitoring location; S13, determining whether the global adjustment degree of ice coverage information is greater than the global adjustment degree threshold of ice coverage information, if so, executing S11, if not, executing S14; S14: For each of the ice covering monitoring positions, use the updated initial single-point ice covering information of the ice covering monitoring position as the real-time ice covering information of the ice covering monitoring position.

8. An AC online ice melting control system for an electrified railway overhead contact network according to any one of claims 1 to 7, characterized in that: The AC ice-melting device includes a positive current generator and a negative current generator. The positive current generator is installed in the traction substation of the railway contact network, and the negative current generator is installed in the substation of the railway contact network. The two ends of the positive current generator and the negative current generator are respectively connected in parallel to the up line and the down line. When the ice-covered line of the railway contact network needs to be melted, the negative current generator injects an inductive reactive current into the ice-covered line of the railway contact network to increase the current of the ice-covered line of the railway contact network. At the same time, the positive current generator injects a capacitive reactive current into the railway contact network to ensure that the voltage of the ice-covered line connected to the railway contact network is stable within a preset voltage range, and the current of the ice-covered line of the railway contact network is limited within a preset current range to perform ice-melting operations on the contact network. When the railway contact network does not need to be melted, the AC ice-melting device acts as a reactive compensation device to perform reactive compensation on the railway contact network.

9. An AC online ice melting control system for an electrified railway overhead contact network according to any one of claims 1 to 7, characterized in that: The ice melting control module determines an optimal online ice melting control strategy according to real-time ice covering information of multiple ice covering monitoring positions on the railway contact network and load information of the railway contact network, including: determining an online ice melting mode according to real-time ice coverage information of a plurality of ice coverage monitoring positions on the railway contact network and load information of the railway contact network; Determine a target ice melting device according to the real-time ice information of the multiple ice monitoring positions on the railway contact network and the online ice melting mode, wherein the target ice melting device is at least one of the multiple AC ice melting devices, the multiple heating ice melting devices and the multiple vibration ice melting devices; The working parameters of the target ice melting equipment are determined according to the real-time ice coverage information of a plurality of ice coverage monitoring positions on the railway contact network.

10. An AC online ice melting control method for an electrified railway overhead contact network, characterized in that: An AC online ice melting control system for an electrified railway overhead contact network as claimed in any one of claims 1 to 9, comprising: Determine a plurality of ice-covering monitoring positions on a railway contact network, and determine ice-covering association information between the plurality of ice-covering monitoring positions; An ice-covering monitoring device is provided at each of the ice-covering monitoring positions, wherein the ice-covering monitoring device is used to collect a variety of environmental information of the ice-covering monitoring position; Determine the real-time icing information of the multiple icing monitoring positions on the railway contact network according to the multiple environmental information of the icing monitoring positions collected by the multiple icing monitoring devices and the icing association information between the multiple icing monitoring positions; Determining an optimal online ice melting control strategy based on real-time ice coverage information of multiple ice coverage monitoring locations on the railway contact network and load information of the railway contact network; According to the optimal online ice-melting control strategy, the AC ice-melting unit, the heating ice-melting unit and the vibration ice-melting unit are controlled to melt ice, wherein the AC ice-melting unit includes a plurality of AC ice-melting devices, and the AC ice-melting devices are used to increase the current of the ice-covered line of the railway contact network; the heating ice-melting unit includes a plurality of heating ice-melting devices, and the heating ice-melting devices are used to heat the ice-covered line of the railway contact network; the vibration ice-melting unit includes a plurality of vibration ice-melting devices, and the vibration ice-melting device is used to trigger the ice-covered line of the railway contact network to vibrate.

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