Shield door control method, system and equipment

Abstract

The invention discloses a platform screen door control method, system and equipment. The method comprises the steps that behavior data of passengers entering and exiting a platform screen door and pressure data of the platform screen door are collected; fusing the behavior data and the pressure data to obtain fused data; behavior analysis is conducted on the fused data, and moving parameters of passengers entering and exiting the shielding door are determined; generating a control signal according to the movement parameter and the fusion data; and controlling the shielding door to be opened or closed according to the control signal. Compared with the prior art, the behavior data of passengers entering and exiting the shielding door and the pressure data of the shielding door are collected, multi-source data fusion is carried out, and behavior analysis is carried out on the fused data, so that the moving track and the state change of the passengers are accurately recognized, and then the control strategy of the shielding door is dynamically adjusted; and the control accuracy and safety of the shielding door are obviously improved.

Description

Technical Field

[0001] The present invention relates to the field of rail transportation technology, and in particular to a platform screen door control method, system and device. Background Art

[0002] The rail transit platform screen door system is a typical mechatronics product. It is a high-tech product that integrates electronics, communications, mechanics, architecture, and aesthetics. It is an essential facility for modern subway, light rail, and rapid transit projects. It is installed along the edge of the platform to separate the driving area from the station platform. When the train arrives, the sliding doors of the platform screen door are opened to allow passengers to get on and off the train. The installation of the platform screen door can reduce the operating energy consumption of the station's air conditioning and ventilation system; at the same time, it reduces the impact of train operation noise and piston wind on the station, prevents passengers from falling off the tracks and causing accidents, provides passengers with a safe and comfortable waiting environment, improves the service level of rail transit, and creates the necessary conditions for the realization of unmanned rail transit system.

[0003] However, in the prior art, the platform screen door control process does not perform behavioral analysis on passengers entering and exiting the platform screen door, and cannot accurately control the opening or closing of the platform screen door, resulting in passengers being easily pinched when passing through the platform screen door. Therefore, the control accuracy of the platform screen door in the prior art is low. Summary of the Invention

[0004] In order to overcome the deficiencies of the prior art, the present invention aims to provide a platform screen door control method, system and device, which improve the control accuracy of the platform screen door by analyzing the behavior of passengers on the platform screen door.

[0005] In order to solve the above problems, the present invention is implemented according to the following scheme:

[0006] A screen door control method is provided, comprising:

[0007] Collect passenger behavior data in and out of platform screen doors and platform screen door pressure data;

[0008] fusing the behavior data and the pressure data to obtain fused data;

[0009] Conduct behavioral analysis on the fused data to determine the movement parameters of passengers entering and exiting the platform screen door;

[0010] generating a control signal according to the movement parameter and the fused data;

[0011] According to the control signal, the shielding door is controlled to be opened or closed.

[0012] Compared with the existing technology, the beneficial effects of the platform shield door control method of the present invention are as follows: by collecting the behavioral data of passengers entering and exiting the platform shield door and the platform shield door pressure data and performing multi-source data fusion, and by performing behavioral analysis on the fused data, the passenger's movement trajectory and state changes can be accurately identified, and the platform shield door control strategy can be dynamically adjusted, which significantly improves the accuracy and safety of the platform shield door control.

[0013] Optionally, fusing the behavior data and the pressure data to obtain fused data includes:

[0014] Determining a behavior collection frequency of the behavior data and a pressure collection frequency of the pressure data;

[0015] The behavior data and the pressure data are fused according to the behavior collection frequency and the pressure collection frequency to obtain the fused data.

[0016] Optionally, fusing the behavior data and the pressure data according to the behavior collection frequency and the pressure collection frequency to obtain the fused data includes:

[0017] aligning timestamps of the behavior data and the pressure data according to the behavior collection frequency and the pressure collection frequency;

[0018] The behavior data and the pressure data are fused according to the timestamp to obtain the fused data.

[0019] Optionally, fusing the behavior data and the pressure data according to the timestamp to obtain the fused data includes:

[0020] Extracting features of the behavior data and the pressure data to obtain behavior features for representing the behavior data features and pressure features for representing the pressure data features;

[0021] The behavior feature and the pressure feature are fused according to the timestamp to obtain the fused data.

[0022] Optionally, the movement parameters include movement characteristics and their corresponding movement modes;

[0023] Conduct behavioral analysis on the fused data to determine the movement parameters of passengers entering and exiting the platform screen door, including:

[0024] Performing behavior analysis on the behavior features included in the fused data to determine the movement features;

[0025] A movement mode corresponding to the movement feature is determined according to the movement feature.

[0026] Optionally, performing behavior analysis on the behavior features included in the fused data to determine the movement features includes:

[0027] Determining a time point corresponding to the behavioral characteristic;

[0028] Determining time series data based on the behavioral characteristics and their corresponding time points;

[0029] The movement characteristics are determined based on the time series data.

[0030] Optionally, the time series data includes the number of passengers at multiple time points; the movement characteristics include flow change data indicating the number of passengers entering and exiting the platform screen door;

[0031] Determining the movement characteristics according to the time series data includes:

[0032] determining, based on the time series data, a passenger flow within a time period consisting of two adjacent time points;

[0033] The flow change data is determined according to the passenger flow.

[0034] Optionally, determining, based on the movement feature, a movement mode corresponding to the movement feature includes:

[0035] Classifying the movement features to obtain a feature set including multiple movement features in the same mode;

[0036] According to the multiple movement features included in the feature set, movement modes corresponding to the multiple movement features in the feature set are determined.

[0037] A platform screen door control system is also provided, which is applied to the platform screen door control method described above, and comprises:

[0038] The acquisition module is used to collect the behavior data of passengers entering and exiting the platform screen door and the pressure data of the platform screen door;

[0039] Data processing module for:

[0040] fusing the behavior data and the pressure data to obtain fused data;

[0041] Conduct behavioral analysis on the fused data to determine the movement parameters of passengers entering and exiting the platform screen door;

[0042] Control module for:

[0043] generating a control signal according to the movement parameter and the fused data;

[0044] According to the control signal, the shielding door is controlled to be opened or closed.

[0045] A computer device is also provided, comprising a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, at least one program, a code set or an instruction set is loaded and executed by the processor to implement the aforementioned shield door control method. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 Flowchart of the control method of the present invention. DETAILED DESCRIPTION

[0047] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0048] When the following description refers to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims. In the description of the present application, it should be understood that the terms "first", "second", "third", etc. are only used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence, nor can they be understood as indicating or implying relative importance. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to the specific circumstances.

[0049] See also Figure 1 As shown, a screen door control method of the present invention includes:

[0050] S1: Collecting the behavioral data of passengers entering and exiting the platform screen door and the pressure data of the platform screen door; wherein, the behavioral data is collected by the infrared sensor installed on the platform screen door, and the pressure data is collected by the pressure sensor installed on the platform screen door; by collecting the behavioral data, the passage status of passengers when entering and exiting the platform screen door can be reflected, such as entering and exiting the platform screen door at a normal speed and entering and exiting the platform screen door at a fast speed. According to the behavioral data, the opening and closing timing of the platform screen door can be optimized; by collecting the pressure data, it can be reflected whether the platform screen door is blocked or there is a situation of people or objects being clamped. If these situations exist, the platform screen door is controlled to open, effectively ensuring the personal safety of passengers and ensuring that the platform screen door will not be affected by these pressures and its external shape will not be affected. For example, if the platform screen door clamps the same object for a long time, it may cause the platform screen door to deform.

[0051] S2: Fusing the behavior data and the pressure data to obtain fused data, including: first, determining the behavior collection frequency of the behavior data and the pressure collection frequency of the pressure data; finally, fusing the behavior data and the pressure data according to the behavior collection frequency and the pressure collection frequency to obtain fused data.

[0052] In one embodiment of the present invention, the behavior data and the pressure data are fused according to the behavior collection frequency and the pressure collection frequency to obtain fused data, including:

[0053] First, the timestamps of the behavior data and the pressure data are aligned according to the behavior collection frequency and the pressure collection frequency. Finally, the behavior data and the pressure data are fused according to the timestamps to obtain the fused data.

[0054] In one embodiment of the present invention, behavior data and pressure data are fused according to a timestamp to obtain fused data, including: first, extracting features of the behavior data and pressure data to obtain behavior features for representing the characteristics of the behavior data, and pressure features for representing the characteristics of the pressure data; finally, according to the timestamp, the behavior features and pressure features are fused to obtain fused data.

[0055] In one embodiment of the present invention, behavior data and pressure data are collected by two different sensors, an infrared sensor and a pressure sensor, respectively. Different hardware characteristics of different sensors may result in different collection frequencies. For example, the infrared sensor may use a higher collection frequency to capture the behavior of fast-moving passengers (passengers quickly entering and exiting the platform shielding door), while the pressure sensor may use a lower collection frequency to stably detect the pressure changes of the platform shielding door. If the timestamps of the infrared sensor and the pressure sensor data are not aligned according to the collection frequency, the time axes of the behavior data and the pressure data will not match, resulting in a decrease in the accuracy of the fused data. By determining the timestamps used to align the behavior data and the pressure data through the behavior collection frequency and the pressure collection frequency, time misalignment or data loss caused by different collection frequencies can be avoided, the timing deviation between the infrared sensor and the pressure sensor can be eliminated, and the behavior features and pressure features in the fused data can be ensured to have precise time correlation, thereby improving the control accuracy of the platform shielding door.

[0056] At the same time, by associating behavioral characteristics and pressure characteristics through timestamps to obtain fused data, the correlation between passenger behavior and platform screen door events can be determined. For example, whether there is a correlation between the two events of a passenger approaching the platform screen door and a sudden increase in platform screen door pressure can be determined. By obtaining fused data, the accuracy of detecting whether the platform screen door is in an abnormal state can be improved, thereby improving the control accuracy of the platform screen door.

[0057] In one embodiment of the present invention, the data collected by the infrared sensor and the pressure sensor are filtered and corrected to remove noise and outliers, thereby obtaining behavioral data and pressure data to ensure the accuracy of the fused data.

[0058] S3: Performing behavioral analysis on the fused data to determine the movement parameters of passengers entering and exiting the platform screen door; wherein the movement parameters include movement characteristics and their corresponding movement patterns; in one embodiment of the present invention, performing behavioral analysis on the fused data to determine the movement parameters of passengers entering and exiting the platform screen door includes: first, performing behavioral analysis on the behavior characteristics included in the fused data to determine the movement characteristics; and finally, determining the movement pattern corresponding to the movement characteristics based on the movement characteristics.

[0059] In one embodiment of the present invention, behavioral analysis is performed on the behavioral features included in the fused data to determine the movement features, including: first, determining the time points corresponding to the behavioral features; then, determining time series data based on the behavioral features and their corresponding time points; finally, determining the movement features based on the time series data.

[0060] The time series data includes the number of passengers at multiple time points; the movement characteristics include flow change data indicating the number of passengers entering and exiting the platform screen door; the movement characteristics are determined based on the time series data, including: first, determining the passenger flow in a time period consisting of two adjacent time points based on the time series data; and finally, determining the flow change data based on the passenger flow.

[0061] In one embodiment of the present invention, the calculation formula for passenger flow is as follows:

[0062]

[0063] Among them, H(t) is the passenger flow in the time period between time point t and time point t+1, t i is the i-th time point in the time series data, [t, t+1] is the time period from time point t to time point t+1, N(t l ) is at time point t l the number of passengers.

[0064] Flow change data is determined based on the number of passengers. Specifically, based on the passenger flow in each time period, the time period corresponding to the maximum passenger flow is determined. The flow change data used to represent the passenger flow trend is calculated using the moving average method. The calculation formula for the flow change data is as follows:

[0065]

[0066] Wherein, MA(t) represents the moving average value in time period t, which is used to smooth the passenger flow, is the passenger flow at time period ti, n is the time window size for calculating the moving average, and i is the index variable.

[0067] In one embodiment of the present invention, determining a movement pattern corresponding to a movement feature based on a movement feature includes: first, classifying the movement feature to obtain a feature set including multiple movement features under the same pattern; finally, determining, based on the multiple movement features included in the feature set, the movement patterns corresponding to the multiple movement features in the feature set.

[0068] Specifically, the classification of movement features involves determining the movement pattern corresponding to each movement feature based on cluster analysis. The clustering algorithm formula is as follows:

[0069]

[0070] Where k is the number of movement patterns, n is the number of movement features, and x j is the jth mobile feature, μ i is the i-th cluster center, and CF is the sum of the squares of the distances between all mobile features and their corresponding cluster centers.

[0071] In one embodiment of the present invention, the movement mode includes a waiting mode, a boarding mode and an alighting mode. After a plurality of movement features are classified to obtain a feature set corresponding to each movement mode, the mean is calculated for each feature to determine the mean feature corresponding to each feature set. Based on the mean feature, the corresponding movement mode is determined. For example, if the mean feature is a low movement speed or a long period of no movement (speed is 0), the corresponding movement mode is a waiting mode; if the mean feature is a rapid movement into the door, the corresponding movement mode is a boarding mode; if the mean feature is a steady movement from the door to the outside, the corresponding movement mode is an alighting mode.

[0072] S4: Generate a control signal based on the movement parameters and the fused data, including: when the movement parameters indicate that there is a passenger approaching the platform screen door, determine whether to open the platform screen door based on the passenger flow in the fused data (collected by the infrared sensor), specifically, when the passenger flow is greater than or equal to the preset flow threshold, generate a control signal for instructing the platform screen door to open, and when the passenger flow is less than the preset flow threshold, generate a control signal for instructing the platform screen door to close; when the movement parameters indicate that there is no passenger approaching the platform screen door, generate a control signal for instructing the platform screen door to close.

[0073] Before the shield door closes according to the control signal, it is determined whether there is an obstacle that prevents the shield door from closing based on the pressure data in the fused data (collected by the pressure sensor). Specifically, the pressure value of the shield door is determined based on the fused data. When the pressure value is greater than or equal to the preset pressure threshold, a control signal is generated to instruct the shield door to open, so as to avoid the situation where people or objects are trapped when the shield door is closed. When the pressure value is less than the preset pressure threshold, the original control signal instructing the shield door to close is maintained.

[0074] S5: Control the shield door to open or close according to the control signal.

[0075] The present invention collects the behavioral data of passengers entering and exiting the platform shield door and the platform shield door pressure data and performs multi-source data fusion, and then performs behavioral analysis on the fused data to accurately identify the passengers' movement trajectory and state changes, and then dynamically adjust the platform shield door control strategy, thereby significantly improving the accuracy and safety of platform shield door control.

[0076] A platform screen door control system of the present invention is applied to the above-mentioned platform screen door control method, comprising:

[0077] The acquisition module is used to collect the behavior data of passengers entering and exiting the platform screen door and the pressure data of the platform screen door;

[0078] Data processing module for:

[0079] fusing the behavioral data and the pressure data to obtain fused data;

[0080] Conduct behavioral analysis on the fused data to determine the movement parameters of passengers entering and exiting the platform screen door;

[0081] Control module for:

[0082] Generate control signals based on movement parameters and fusion data;

[0083] According to the control signal, the shield door is controlled to open or close.

[0084] A computer device of the present invention includes a processor and a memory, wherein the memory stores at least one instruction, at least one program, code set or instruction set, and the at least one instruction, at least one program, code set or instruction set is loaded and executed by the processor to implement the above-mentioned shielding door control method.

[0085] The processor can be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0086] The memory can be used to store the computer program or module. The processor implements the various functions of the screen door control method by running or executing the computer program or module stored in the memory and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area. The program storage area can store an operating system, at least one application required for a function, etc.; the data storage area can store data created based on the use of the mobile phone, etc. In addition, the memory can include high-speed random access memory and non-volatile memory, such as a hard disk, internal memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, at least one disk storage device, a flash memory device, or other volatile solid-state storage device.

[0087] The above are only preferred embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should be included in the scope of protection of the present application.

Claims

1. A screen door control method, characterized in that: include: Collect passenger behavior data in and out of platform screen doors and platform screen door pressure data; fusing the behavior data and the pressure data to obtain fused data; Conduct behavioral analysis on the fused data to determine the movement parameters of passengers entering and exiting the platform screen door; generating a control signal according to the movement parameter and the fused data; According to the control signal, the shielding door is controlled to be opened or closed.

2. A screen door control method according to claim 1, characterized in that: The behavior data and the pressure data are integrated to obtain integrated data, including: Determining a behavior collection frequency of the behavior data and a pressure collection frequency of the pressure data; The behavior data and the pressure data are fused according to the behavior collection frequency and the pressure collection frequency to obtain the fused data.

3. A screen door control method according to claim 2, characterized in that: According to the behavior acquisition frequency and the pressure acquisition frequency, fusing the behavior data and the pressure data to obtain the fused data includes: aligning timestamps of the behavior data and the pressure data according to the behavior collection frequency and the pressure collection frequency; The behavior data and the pressure data are fused according to the timestamp to obtain the fused data.

4. A screen door control method according to claim 3, characterized in that: According to the timestamp, the behavior data and the pressure data are fused to obtain the fused data, including: Extracting features of the behavior data and the pressure data to obtain behavior features for representing the behavior data features and pressure features for representing the pressure data features; The behavior feature and the pressure feature are fused according to the timestamp to obtain the fused data.

5. A platform screen door control method according to claim 4, characterized in that: The movement parameters include movement characteristics and their corresponding movement modes; Conduct behavioral analysis on the fused data to determine the movement parameters of passengers entering and exiting the platform screen door, including: Performing behavior analysis on the behavior features included in the fused data to determine the movement features; A movement mode corresponding to the movement feature is determined according to the movement feature.

6. A platform screen door control method according to claim 5, characterized in that: Performing behavior analysis on the behavior features included in the fused data to determine the movement features includes: Determining a time point corresponding to the behavioral characteristic; Determining time series data based on the behavioral characteristics and their corresponding time points; The movement characteristics are determined based on the time series data.

7. A platform screen door control method according to claim 6, characterized in that: The time series data includes the number of passengers at multiple time points; the movement characteristics include flow change data indicating the number of passengers entering and exiting the platform screen door; Determining the movement characteristics according to the time series data includes: determining, based on the time series data, a passenger flow within a time period consisting of two adjacent time points; The flow change data is determined according to the passenger flow.

8. The screen door control method according to claim 7, characterized in that: Determining, according to the movement feature, a movement mode corresponding to the movement feature, including: Classifying the movement features to obtain a feature set including multiple movement features in the same mode; According to the multiple movement features included in the feature set, movement modes corresponding to the multiple movement features in the feature set are determined.

9. A platform screen door control system, applied to a platform screen door control method according to claims 1 to 8, characterized in that: include: The acquisition module is used to collect the behavior data of passengers entering and exiting the platform screen door and the pressure data of the platform screen door; Data processing module for: fusing the behavior data and the pressure data to obtain fused data; Conduct behavioral analysis on the fused data to determine the movement parameters of passengers entering and exiting the platform screen door; Control module for: generating a control signal according to the movement parameter and the fused data; According to the control signal, the shielding door is controlled to be opened or closed.

10. A computer device, characterized in that: The computer device includes a processor and a memory, wherein the memory stores at least one instruction, at least one program, code set or instruction set, and the at least one instruction, at least one program, code set or instruction set is loaded and executed by the processor to implement a screen door control method as described in any one of claims 1 to 8.

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