Energy monitoring method and system based on train running track

Abstract

The invention relates to the technical field of rail transit power supply control, in particular to an energy monitoring method and system based on a train running track. The invention provides an energy monitoring method based on a train running track. The energy monitoring method comprises the following steps: a data acquisition step: acquiring first running data of a train and second running data of a power supply system based on a data alignment algorithm; a model construction step: constructing a train running track model based on the first running data; constructing an interval power flow distribution model based on the first operation data, the second operation data and the train operation track model; and a human-computer interface display step: performing real-time display of the interval power flow distribution diagram based on the interval power flow distribution model through the obtained first real-time operation data and the second real-time operation data.

Description

Technical Field

[0001] The present invention relates to the technical field of rail transit power supply control, and more specifically, to an energy monitoring method and system based on a train running track. Background Art

[0002] The urban rail energy management system is a key component of urban rail transit, which involves real-time monitoring and management of power supply, distribution and consumption to ensure the stability of train operation and efficient energy use. The existing urban rail energy management system has achieved the monitoring and management of train operation energy to a certain extent, but there are still some problems that need to be solved.

[0003] The existing urban rail energy management and control system often faces data synchronization problems when processing data from different subsystems. Since a large amount of data generated by train operation needs to be transmitted and processed between multiple systems, the timestamps of the data may not match, which affects the accuracy of the data analysis results. At the same time, the existing urban rail energy management and control system is not intuitive enough, and the complex data display method may make it difficult for operators to quickly grasp the real-time status and energy flow information of the train.

[0004] Therefore, there is an urgent need to develop an energy monitoring method and system based on train running trajectory that overcomes the above-mentioned defects. Summary of the invention

[0005] The present invention provides an energy monitoring method and system based on a train running track, so as to at least solve the problems of poor data synchronization, insufficient real-time performance and weak intuitiveness existing in the existing train energy monitoring system.

[0006] To achieve the above object, the present invention provides an energy monitoring method based on a train running track, characterized in that it comprises the following steps:

[0007] Data collection step: collecting first operation data of the train and second operation data of the power supply system based on a data alignment algorithm;

[0008] Model building step: building a train running track model based on the first running data; building a section power flow distribution model based on the first running data, the second running data and the train running track model;

[0009] Human-machine interface display step: Real-time display of the interval power flow distribution diagram is performed based on the interval power flow distribution model by acquiring the first real-time operation data and the second real-time operation data.

[0010] Furthermore, the data collection step includes:

[0011] Acquire the real-time operation data of each train and the power supply system, and filter the operation data within a preset period based on the first timestamp corresponding to the latest data in the real-time operation data of each train;

[0012] If there are trains whose running data acquisition fails within the preset period, the next preset period is entered to acquire running data until all train running data are acquired successfully, and a second timestamp is acquired;

[0013] The first operating data of the train and the second operating data of the power supply system are acquired based on the second timestamp.

[0014] Furthermore, the model building step includes:

[0015] Obtain the train running track on the human-machine interface based on the track layout and output the coordinate information of the track points;

[0016] Obtaining a mapping relationship between the human-machine interface train running track and the actual position and direction of the train based on the first running data;

[0017] A train operation trajectory model is constructed based on the first operation data, the trajectory point coordinate information and the mapping relationship.

[0018] Furthermore, the model building step further includes:

[0019] The train running track model is divided into a plurality of power supply partitions, and the first running data and the second running data are associated with the train running track model based on the power supply partitions to complete the construction of the section power flow distribution model.

[0020] Furthermore, the first running data of the train includes: train running direction data, train running time data, train running position data, train running current data and train running voltage data;

[0021] The second operation data of the power supply system includes: power operation data, signal subsystem operation data and bidirectional converter device operation data.

[0022] Furthermore, it also includes an energy feedback approval step:

[0023] Based on the first operating data and the second operating data corresponding to the starting position and the ending position of the power supply partition, it is determined whether there is an energy feedback error. If there is an energy feedback error, an alarm is issued to perform error analysis.

[0024] Furthermore, the present invention provides an energy monitoring system based on a train running track, applying the above-mentioned energy monitoring method based on a train running track, comprising:

[0025] Data acquisition module: collecting the first operation data of the train and the second operation data of the power supply system based on the data alignment algorithm;

[0026] Model building module: building a train running track model based on the first running data; building a section power flow distribution model based on the first running data, the second running data and the train running track model;

[0027] Human-machine interface display module: Real-time display of the interval power flow distribution diagram based on the interval power flow distribution model by acquiring the first real-time operation data and the second real-time operation data.

[0028] Furthermore, the data acquisition module includes:

[0029] Acquire the real-time operation data of each train and the power supply system, and filter the operation data within a preset period based on the first timestamp corresponding to the latest data in the real-time operation data of each train;

[0030] If there are trains whose running data acquisition fails within the preset period, the next preset period is entered to acquire running data until all train running data are acquired successfully, and a second timestamp is acquired;

[0031] The first operating data of the train and the second operating data of the power supply system are acquired based on the second timestamp.

[0032] Furthermore, the model building module includes:

[0033] Obtain the train running track on the human-machine interface based on the track layout and output the coordinate information of the track points;

[0034] Obtaining a mapping relationship between the human-machine interface train running track and the actual position and direction of the train based on the first running data;

[0035] A train operation trajectory model is constructed based on the first operation data, the trajectory point coordinate information and the mapping relationship.

[0036] Furthermore, the model building module further includes:

[0037] The train running track model is divided into a plurality of power supply partitions, and the first running data and the second running data are associated with the train running track model based on the power supply partitions to complete the construction of the section power flow distribution model.

[0038] Compared with the prior art, the advantages and positive effects of the present invention are as follows: the present invention provides an energy monitoring method and system based on the train running track. Through the mapping and display method between the actual running position of the train and the position of the human-machine interface, in an energy system with strong real-time requirements, the train position, train energy flow information, bidirectional converter equipment energy flow information, etc. can be displayed in real time, effectively improving the intuitiveness and on-site grasp of urban rail energy management and control.

[0039] The present invention collects data based on the alignment algorithm of train data, which can effectively solve the problem of aligning timestamps of section data of multiple subsystem data based on trains, improve the validity of data, provide reliable section data for subsequent applications, and enhance the accuracy and effectiveness of energy monitoring systems based on train running tracks. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a flow chart of the energy monitoring method based on the train running track of the present invention;

[0041] Figure 2 This is a schematic diagram of a flow chart of a section data alignment algorithm based on train data according to an embodiment of the present invention;

[0042] Figure 3 A schematic diagram of a train running trajectory calculation flow chart according to an embodiment of the present invention;

[0043] Figure 4 A schematic diagram of the energy feedback approval process according to an embodiment of the present invention;

[0044] Figure 5 Schematic diagram of the energy monitoring system based on the train running track of the present invention.

[0045] In the above picture:

[0046] 100. Data acquisition module; 200. Model building module; 300. Human-computer interface display module. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0048] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "liquid level", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present application. The terms "first" and "second" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present application, unless otherwise specified, "multiple" means two or more.

[0049] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0050] Embodiment 1

[0051] like Figure 1 As shown, the present invention provides an energy monitoring method based on a train running track, comprising the following steps:

[0052] Data collection step S100: collecting first operation data of the train and second operation data of the power supply system based on a data alignment algorithm;

[0053] Model building step S200: building a train running track model based on the first running data; building a section power flow distribution model based on the first running data, the second running data and the train running track model;

[0054] Human-machine interface display step S300: Real-time display of the interval power flow distribution diagram based on the interval power flow distribution model by using the first real-time operation data and the second real-time operation data acquired.

[0055] Combine the following Figure 2-Figure 4 The steps of the energy monitoring method based on the train running trajectory are described in detail.

[0056] Preferably, the data collection step S200 includes:

[0057] Acquire the real-time operation data of each train and the power supply system, and filter the operation data within a preset period based on the first timestamp corresponding to the latest data in the real-time operation data of each train;

[0058] If there are trains whose running data acquisition fails within the preset period, the next preset period is entered to acquire running data until all train running data are acquired successfully, and a second timestamp is acquired;

[0059] The first operating data of the train and the second operating data of the power supply system are acquired based on the second timestamp.

[0060] like Figure 2 As shown, in some embodiments, the above-mentioned section data alignment algorithm process based on train data is specifically as follows:

[0061] Get the latest data T1DT in each train cache m1 , T2DT m1 , …, T n DT m1 ; Calculate and extract the latest data T from each train data based on the timestamp x DT m1 ; Based on the latest data T x The timestamp T of D m1 , calculate the T of each train cache and train X in turn m1 The time tolerance is within T200, and the data of each train within the time tolerance of 200ms is obtained. If there is a train, the data within the tolerance time is not obtained, then it is judged that the section acquisition has failed, and the next cycle of section data acquisition is entered; if the train section acquisition is successful, the section data timestamp is T x DT m1 , the train data is {T1DT mx , T2DT mx ,…,T x DT m1 ,…,T n DT mx}; Based on the data timestamp DT of train X m1 , calculate and obtain the cross-sectional data of the power, signal subsystem and bidirectional converter equipment in turn; if the calculation is successful, the cross-sectional data acquisition is successful; otherwise, enter the next cross-sectional data calculation acquisition cycle. The final timestamp is T x DT m1D , the cross-sectional data set of each subsystem and equipment is {D1, D2, …, D n}.

[0062] Preferably, the model building step S200 includes:

[0063] Based on the track layout, the running track of the human-machine interface train is obtained, and the coordinate information of the track points is output; specifically, the running track of the human-machine interface train is drawn based on the track layout, including the up track and the down track, and the location of the station on the human-machine interface graphics is clarified, wherein the running track of the train can only be composed of straight lines. After the drawing is completed, the starting point of the track, the intersection points of each straight line, and the location information of the station are output.

[0064] Based on the first operation data, a mapping relationship between the train operation trajectory in the human-machine interface and the actual position and direction of the train is obtained; specifically, the actual running train position and running direction information corresponding to the starting point, handover point and station in the human-machine interface is obtained.

[0065] A train operation trajectory model is constructed based on the first operation data, the trajectory point coordinate information and the mapping relationship.

[0066] like Figure 3 As shown, in some embodiments, the train running trajectory algorithm is specifically:

[0067] Get the train direction information from the real-time train data; parse the train running trajectory model, filter the train trajectory data with the same direction as the train; store it in the train trajectory calculation cache; loop through the train trajectory calculation cache, and take out the Kth and K+1th trajectory data information from the start data; take out the current position information of the train, and determine whether the current position of the train is consistent with the train position of the Kth trajectory information. If so, take out the trajectory data of the X / Y coordinates of the corresponding human-machine interface of the train; if not, calculate whether the current position Poscur is consistent with the K+1th position POSK+1. If so, take out the corresponding human-machine interface of the train. The trajectory data of the X / Y coordinates of the interface; if not, calculate whether the current position is before K and K+1, if so, calculate the X / Y coordinates, the algorithm is (((current position-K position)) / ((K+1 position-K position)))*(K+1 position corresponds to the X / Y coordinates of the human-machine interface-K position corresponds to the X / Y coordinates of the human-machine interface), and return the trajectory data of the corresponding X / Y coordinates of the human-machine interface of the train; if not, after K is incremented, the calculation is performed in a loop. When the calculation reaches the last position, the coordinates of the train are still not found, then the running trajectory of the train cannot be calculated, and the train is set to the hidden state of the human-machine interface.

[0068] Preferably, the model building step S200 further includes:

[0069] The train running track model is divided into a number of power supply partitions, and the first running data and the second running data are associated with the train running track model based on the power supply partitions to complete the construction of the section power flow distribution model.

[0070] Specifically, the section power flow distribution model can display the real-time current data, inflow and outflow directions of the train in each power supply section based on the train running trajectory, the real-time current data, inflow and outflow directions of the bidirectional converter equipment and the operating status of the substation.

[0071] Preferably, the first running data of the train includes: train running direction data, train running time data, train running position data, train running current data and train running voltage data;

[0072] The second operation data of the power supply system includes: power operation data, signal subsystem operation data and bidirectional converter equipment operation data.

[0073] Preferably, it also includes an energy feed approval step:

[0074] Based on the first operating data and the second operating data corresponding to the starting position and the ending position of the power supply partition, it is determined whether there is an energy feedback error. If there is an energy feedback error, an alarm is issued to perform error analysis.

[0075] like Figure 4 As shown, in some embodiments, the energy feedback approval step is specifically as follows:

[0076] A power supply zone G i The starting coordinate position is (XG i From YG i The starting and ending positions are (XG i Finally, YG i Finally), collect the current I of N trains in the uplink and downlink CR1 ,I CR2 …I CRN Sum I CRT , N trains can feed current I CK1 ,I CK2 …I CKN Sum I CKT . Collect the feeder current I of the two bidirectional converters in the power supply partition SR1 ,I SR2 , calculate the power supply current of the power supply partition as: I SR1 +I sR2 =I SR , we can get I by calculation CRT =I SR ; Collect the receiving energy feeding current I of the two bidirectional converters in the power supply partition SK1 ,I SK2 , calculate the receiving energy feed current of the power supply partition as I SK1 +I SK2 =I SK , we can get I by calculation CKT =I SKIf the calculation satisfies the above formula, the real-time value, flow and outflow direction of the current of the bidirectional converter device will be displayed on the human-machine interface, otherwise an alarm will be generated.

[0077] Human-machine interface display step S300: Real-time display of the interval power flow distribution diagram based on the interval power flow distribution model by using the first real-time operation data and the second real-time operation data obtained, specifically including: train operation energy flow and trajectory, bidirectional converter energy flow, and substation operation status.

[0078] Embodiment 2

[0079] like Figure 5 As shown, the present invention provides an energy monitoring system based on a train running track, applying the above-mentioned energy monitoring method based on a train running track, comprising:

[0080] Data collection step 100: collecting first operation data of the train and second operation data of the power supply system based on a data alignment algorithm;

[0081] Model building step 200: building a train running track model based on the first running data; building a section power flow distribution model based on the first running data, the second running data and the train running track model;

[0082] Human-machine interface display step 300: Real-time display of an interval power flow distribution diagram based on an interval power flow distribution model by using the first real-time operating data and the second real-time operating data acquired.

[0083] Preferably, the data acquisition module 100 includes:

[0084] Acquire the real-time operation data of each train and the power supply system, and filter the operation data within a preset period based on the first timestamp corresponding to the latest data in the real-time operation data of each train;

[0085] If there are trains whose running data acquisition fails within the preset period, the next preset period is entered to acquire running data until all train running data are acquired successfully, and a second timestamp is acquired;

[0086] The first real-time operation data of the train and the second real-time data of the power supply system are acquired based on the second timestamp.

[0087] Preferably, the model building module 200 includes:

[0088] Obtain the train running track on the human-machine interface based on the track layout and output the coordinate information of the track points;

[0089] Obtaining a mapping relationship between a human-machine interface train running track and an actual position and direction of the train based on the first running data;

[0090] A train operation trajectory model is constructed based on the first operation data, the trajectory point coordinate information and the mapping relationship.

[0091] Preferably, the model building module 200 further includes:

[0092] The train running track model is divided into a number of power supply partitions, and the first real-time running data and the second real-time running data are associated with the train running track model based on the power supply partitions to complete the construction of the section power flow distribution model.

[0093] The above description is only a preferred embodiment of the present invention and does not limit the present invention in other forms. Any technician familiar with the profession may use the technical content disclosed above to change or modify it into an equivalent embodiment with equivalent changes and apply it to other fields. However, any simple modification, equivalent change and modification made to the above embodiment based on the technical essence of the present invention without departing from the content of the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. An energy monitoring method based on train running track, characterized in that: The following steps are involved: Data collection step: collecting first operation data of the train and second operation data of the power supply system based on a data alignment algorithm; Model building step: building a train running track model based on the first running data; building a section power flow distribution model based on the first running data, the second running data and the train running track model; Human-machine interface display step: Real-time display of the interval power flow distribution diagram is performed based on the interval power flow distribution model by acquiring the first real-time operation data and the second real-time operation data.

2. The energy monitoring method based on train running trajectory according to claim 1 is characterized in that: The data collection step comprises: Acquire the real-time operation data of each train and the power supply system, and filter the operation data within a preset period based on the first timestamp corresponding to the latest data in the real-time operation data of each train; If there are trains whose running data acquisition fails within the preset period, the next preset period is entered to acquire running data until all train running data are acquired successfully, and a second timestamp is acquired; The first operating data of the train and the second operating data of the power supply system are acquired based on the second timestamp.

3. The energy monitoring method based on train running trajectory according to claim 1 is characterized in that: The model building steps include: Obtain the train running track on the human-machine interface based on the track layout and output the coordinate information of the track points; Obtaining a mapping relationship between the human-machine interface train running track and the actual position and direction of the train based on the first running data; A train operation trajectory model is constructed based on the first operation data, the trajectory point coordinate information and the mapping relationship.

4. The energy monitoring method based on train running trajectory according to claim 1 is characterized in that: The model building step further comprises: The train running track model is divided into a plurality of power supply partitions, and the first running data and the second running data are associated with the train running track model based on the power supply partitions to complete the construction of the section power flow distribution model.

5. The energy monitoring method based on train running trajectory according to claim 1 is characterized in that: The first running data of the train includes: train running direction data, train running time data, train running position data, train running current data and train running voltage data; The second operation data of the power supply system includes: power operation data, signal subsystem operation data and bidirectional converter device operation data.

6. The energy monitoring method based on train running trajectory according to claim 5 is characterized in that: It also includes an energy feedback approval step: Based on the first operating data and the second operating data corresponding to the starting position and the ending position of the power supply partition, it is determined whether there is an energy feedback error. If there is an energy feedback error, an alarm is issued to perform error analysis.

7. An energy monitoring system based on train running track, characterized in that: The energy monitoring method based on the train running track described in claims 1 to 6 above comprises: Data acquisition module: collecting the first operation data of the train and the second operation data of the power supply system based on the data alignment algorithm; Model building module: building a train running track model based on the first running data; building a section power flow distribution model based on the first running data, the second running data and the train running track model; Human-machine interface display module: Real-time display of the interval power flow distribution diagram based on the interval power flow distribution model by acquiring the first real-time operation data and the second real-time operation data.

8. The energy monitoring system based on train running track according to claim 7 is characterized in that: The data acquisition module comprises: Acquire the real-time operation data of each train and the power supply system, and filter the operation data within a preset period based on the first timestamp corresponding to the latest data in the real-time operation data of each train; If there are trains whose running data acquisition fails within the preset period, the next preset period is entered to acquire running data until all train running data are acquired successfully, and a second timestamp is acquired; The first operating data of the train and the second operating data of the power supply system are acquired based on the second timestamp.

9. The energy monitoring system based on train running track according to claim 7 is characterized in that: The model building module includes: Acquire train running direction data based on the first running data of the train and filter and obtain train track data; Based on the trajectory data and the current position of the train, a cyclic traversal match is performed. If a match is found, the corresponding coordinates are displayed on the human-machine interface. If a match is found, the display is hidden on the human-machine interface to complete the construction of the train trajectory model.

10. The energy monitoring system based on train running track according to claim 9 is characterized in that: The model building module further comprises: The train running track model is divided into a plurality of power supply partitions, and the first running data and the second running data are associated with the train running track model based on the power supply partitions to complete the construction of the section power flow distribution model.

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