Intelligent passenger conveyor equipment detection system and passenger conveyor equipment

Abstract

The present invention discloses an intelligent passenger conveyor equipment detection system, comprising a passenger detection system passenger flow signal acquisition unit, a comprehensive analysis unit, and a passenger conveyor equipment load signal acquisition unit. The intelligent passenger conveyor equipment detection system of the present invention can identify faults in the passenger detection system, optimize the operating conditions of the passenger conveyor equipment, and avoid energy waste caused by prolonged, inefficient operation of automatic passenger conveyors. The present invention also relates to passenger conveyor equipment.

Description

Technical Field

[0001] The present invention relates to the field of conveying equipment, in particular to an intelligent passenger conveying equipment detection system. The present invention also relates to a passenger conveying equipment. Background Art

[0002] Intelligent video surveillance technology is now widely used. Automatic passenger conveyors (APMs) are a common sight in public spaces. Due to potential safety hazards and the need for real-time early warning, they have become a key application for intelligent surveillance systems. Early warning of dangerous pedestrian behavior on PMMs is crucial to human safety, requiring extremely fast warning speeds.

[0003] The intelligent passenger detection system of the automatic passenger conveyor equipment collects passenger flow density, passenger flow direction speed, passenger status and item status on the automatic passenger conveyor equipment in real time, obtains passenger flow information on the automatic passenger conveyor equipment through an image analysis module, and feeds back the passenger flow information to the passenger conveyor equipment control system. However, the passenger conveyor equipment control system is unaware of whether the intelligent passenger detection system of the automatic passenger conveyor equipment itself has malfunctioned or the authenticity of the monitored passenger flow information, which poses a safety risk.

[0004] At present, the main way for automatic passenger conveyor equipment to achieve energy-saving operation is to adjust the operating status of the passenger conveyor equipment according to the load information of the passenger conveyor equipment control system. Another way is to combine the intelligent passenger detection system of the automatic passenger conveyor equipment to realize passenger flow diversion and achieve the purpose of energy-saving operation of the passenger conveyor equipment. Both methods are to adjust the operating status of the passenger conveyor equipment by directly or indirectly obtaining the load information on the running passenger conveyor to achieve the purpose of energy saving. However, the passenger flow data sources obtained by these two methods are relatively single and lack more comprehensive data fusion means, resulting in insufficient accuracy of passenger flow data.

[0005] Chinese patent document CN112299218A describes a control method and system for passenger conveyor equipment. The speed of the passenger conveyor main unit includes three operating conditions, namely zero speed, low speed, and high speed, depending on relative height. Under the high-speed operating condition, the passenger conveyor main unit collects the load of the passenger conveyor in real time. When the load of the passenger conveyor changes, the voltage of the passenger conveyor main unit is increased or decreased accordingly, so that the speed of the passenger conveyor main unit approaches the speed before the load change. Compared with the prior art, this scheme automatically adjusts the voltage supplied to the passenger conveyor main unit according to the load of the passenger conveyor while the passenger conveyor maintains a high-speed operating condition, thereby improving the efficiency of the passenger conveyor main unit and achieving energy-saving effects for the passenger conveyor system. However, due to the single load signal source, there is a possibility of load data misjudgment. When the local passenger detection system is abnormal, the passenger conveyor will continue to operate at high speed, even when no one is riding, which in turn reduces the energy-saving effect. Summary of the Invention

[0006] The technical problem to be solved by the present invention is to provide an intelligent passenger conveyor equipment detection system and passenger conveyor equipment, which can identify passenger detection system faults, integrate multiple passenger flow data sources to improve the accuracy of passenger conveyor equipment load signal judgment, optimize the operating conditions of passenger conveyor equipment, and at the same time analyze the abnormalities of the local passenger detection system through historical passenger flow big data, and automatically switch to the passenger conveyor equipment operation mode on the server side, thereby improving the energy saving effect of the entire passenger conveyor equipment array.

[0007] To solve the above technical problems, the present invention provides an intelligent passenger conveyor equipment detection system, comprising:

[0008] Passenger detection system passenger flow signal acquisition unit, used for real-time acquisition of passenger flow signals of the passenger detection system;

[0009] Passenger conveyor equipment load signal acquisition unit, used for real-time acquisition of passenger conveyor equipment control system load signals;

[0010] A comprehensive analysis unit is used to receive passenger flow signals from the passenger detection system and load signals from the passenger conveyor control system in real time, store the signals in real time, determine whether the passenger detection system signals have faults by comprehensively analyzing the real-time signals and historical signals, thereby improving the accuracy of passenger flow signal judgment, and output peak, off-peak, and low-peak passenger flow time periods and load factor thresholds to the passenger conveyor system control module. The control module automatically adjusts the operating power of the passenger conveyor motor according to the load factor thresholds and peak, off-peak, and low-peak passenger flow time periods;

[0011] The passenger detection system abnormality prompt unit is used to provide real-time feedback on the passenger detection system operation status signal input by the comprehensive analysis unit.

[0012] Preferably, the passenger flow signal acquisition unit of the passenger detection system transmits the passenger flow signal of the passenger detection system to the comprehensive analysis unit in real time via a serial port, Ethernet or wireless transmission communication mode.

[0013] Preferably, the passenger conveyor equipment load signal acquisition unit transmits the passenger conveyor equipment load signal to the comprehensive analysis unit in real time via a serial port, Ethernet or wireless transmission communication mode.

[0014] Preferably, the comprehensive analysis unit includes a data storage unit,

[0015] The data storage unit stores multiple types of data, including real-time and historical data of passenger conveying equipment load, real-time and historical data of passenger flow of passenger detection system, real-time network communication status data, timestamp data, network communication abnormality history data, and passenger conveying equipment load rate threshold.

[0016] Preferably, the comprehensive analysis unit includes a data statistics unit;

[0017] The data statistics unit classifies and counts the various types of data in the data storage unit according to a statistical analysis method to obtain peak passenger flow periods, off-peak passenger flow periods, and off-peak passenger flow periods;

[0018] The load rate threshold data is selected as the load data during the passenger flow peak period, off-peak period, and valley period multiplied by a preset proportional coefficient.

[0019] Preferably, the comprehensive analysis unit has built-in operation management modes for passenger conveying equipment during peak hours, off-peak hours and valley hours.

[0020] Preferably, the comprehensive analysis unit includes a passenger detection system fault identification unit;

[0021] When there is a preset deviation between the real-time data on the load of the passenger conveying equipment and the real-time data on the passenger flow of the passenger detection system, the passenger detection system fault identification unit determines that a fault exists in the passenger detection system.

[0022] Preferably, when the real-time passenger flow data of the passenger detection system remains unchanged for a period of time, it can be determined that there is a fault in the passenger detection system;

[0023] Preferably, when the comprehensive analysis unit detects that a fault exists in the passenger detection system, the passenger conveying equipment will automatically switch to the operation management mode built into the comprehensive analysis unit.

[0024] The present invention also discloses a passenger conveying device, wherein the comprehensive analysis unit is installed on a foundation pit of the passenger conveying device. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solution of the present invention, the following briefly introduces the drawings required for use in the present invention. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0026] Figure 1 2 is a schematic diagram of the system architecture of the intelligent passenger conveyor equipment detection system of the present invention.

[0027] Figure 2 It is a structural schematic diagram of the passenger conveying equipment of the present invention.

[0028] Figure 3 It is a structural diagram of the comprehensive analysis unit of the intelligent passenger conveyor equipment detection system of the present invention.

[0029] Figure 4 It is the curve of the actual operating speed and load factor of the passenger conveying equipment when the local sensor passenger flow signal fails.

[0030] Figure 5 This is a schematic diagram of the intelligent passenger conveying equipment detection system of the present invention automatically switching to the server operation mode when it detects a fault in the local passenger detection system.

[0031] Figure 6 The intelligent passenger conveyor equipment detection system of the present invention detects that a local passenger detection system has a fault and automatically switches to the server operation mode, and the actual speed and load rate change curve of the passenger conveyor equipment. DETAILED DESCRIPTION

[0032] The following is a clear and complete description of the technical solutions of the present invention in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of the present invention.

[0033] Example 1

[0034] like Figure 1 As shown, the intelligent passenger conveyor equipment detection system of the present invention includes a passenger detection system passenger flow signal acquisition unit 301, a comprehensive analysis unit 200, a passenger conveyor equipment load signal acquisition unit 101, and a passenger detection system abnormality prompt unit 205.

[0035] The passenger detection system passenger flow signal acquisition unit 301 is used to collect passenger flow signals of the passenger detection system in real time;

[0036] The passenger conveyor load signal acquisition unit 101 is used to acquire the load signal of the passenger conveyor control system in real time;

[0037] The comprehensive analysis unit 200 is used to receive the passenger flow signal of the passenger detection system and the load signal of the passenger conveyor control system in real time, store the signals in real time, determine whether the passenger detection system signal has a fault by comprehensively analyzing the real-time signal and the historical signal, thereby improving the accuracy of the passenger flow signal judgment, and output the peak, off-peak and low-peak passenger flow time periods and the load factor threshold to the passenger conveyor system control module 102. The control module 102 automatically adjusts the operating power of the passenger conveyor motor 103 according to the load factor threshold and the peak, off-peak and low-peak passenger flow time periods;

[0038] The passenger detection system abnormality prompt unit 205 is used to provide real-time feedback of the passenger detection system operation status signal input by the comprehensive analysis unit;

[0039] The passenger flow signal acquisition unit 301 of the passenger detection system or the passenger conveyor load signal acquisition unit 101 transmits the passenger conveyor load signal to the comprehensive analysis unit 200 in real time via a serial port, Ethernet or wireless transmission communication method.

[0040] like Figure 3 As shown, the comprehensive analysis unit 200 may include a data storage unit 203 and a data statistics unit 202;

[0041] The data storage unit 203 stores various types of data, including real-time and historical data of passenger conveyor load, real-time and historical data of passenger flow of passenger detection system, real-time network communication status data, timestamp data, network communication abnormality history data, and passenger conveyor load rate threshold.

[0042] The data statistics unit 202 classifies and counts the various types of data in the data storage unit according to a statistical analysis method to obtain peak hours, off-peak hours, and valley hours of passenger flow;

[0043] The passenger flow peak can be calculated with days as a time unit, holidays and weekdays as classification types, and years as the counting period. The peak hours, off-peak hours, and off-peak hours of passenger flow on weekdays and holidays can be counted separately.

[0044] The passenger flow peak can also be calculated with days as a time unit, holidays and weekdays as classification types, and years as the counting period, and the automatic passenger conveyor load rate on weekdays and holidays can be calculated separately;

[0045] The load rate threshold data is selected as the load data of the passenger conveying equipment control system during the passenger flow peak period, off-peak period, and valley period multiplied by a proportional coefficient of 0.5.

[0046] The comprehensive analysis unit 200 may also include a passenger detection system fault identification unit;

[0047] When the real-time data of the load of the passenger conveying equipment differs by 20% from the real-time data of the passenger flow of the passenger detection system, the passenger detection system fault identification unit may determine that there is a fault in the passenger detection system;

[0048] The comprehensive analysis unit 200 has built-in operation management modes for passenger conveying equipment during peak hours, off-peak hours, and off-peak hours;

[0049] When a fault is detected in the passenger detection system, the passenger conveying equipment will automatically switch to the operation management mode built into the comprehensive analysis unit; the operation management mode includes peak period operation management mode, off-peak period operation management mode, and valley period operation management mode; the comprehensive analysis unit controls the passenger conveying equipment to automatically switch to the peak, off-peak or valley period operation mode based on historical statistical data.

[0050] The intelligent passenger conveyor equipment detection system of embodiment 1, in an application scenario where the load signal of the passenger conveyor equipment control system is used as the benchmark passenger flow data source, the comprehensive analysis unit accesses the passenger conveyor equipment control system load signal and the passenger detection system passenger flow signal. When the passenger flow data of the passenger detection system deviates from the passenger conveyor equipment control system load signal by 20%, it can be determined that there is a fault in the passenger detection system. The statistical unit in the comprehensive analysis unit classifies and counts the various types of data in the data storage unit according to the statistical analysis method, obtains passenger flow peak period, off-peak period, valley period and load rate threshold data, and feeds back to the automatic passenger conveyor equipment control module. The automatic passenger conveyor equipment control module automatically adjusts the operating power of the passenger conveyor equipment motor, optimizes the operating conditions of the automatic passenger conveyor equipment, and achieves energy saving.

[0051] Example 2

[0052] Based on the intelligent passenger conveyor equipment detection system of Example 1, in an application scenario where the passenger flow signal of the passenger detection system is used as a reference value for load data, the comprehensive analysis unit is connected to the passenger flow signal of the passenger detection system. When the passenger flow data measured by the passenger detection system during peak passenger flow hours remains unchanged for a period of time, it can be determined that there is a fault in the passenger detection system. Optionally, the time during which the passenger flow data remains unchanged for a period of time can be set to 120 seconds.

[0053] Example 3

[0054] Based on the intelligent passenger conveyor equipment detection system of embodiment one, in an application scenario in which the load signal of the passenger conveyor equipment control system is used as a reference passenger flow data source, the comprehensive analysis unit is connected to the load signal of the passenger conveyor equipment control system. The comprehensive analysis unit can predict the load rate threshold based on the historical load data in the storage unit through a built-in time series data prediction model. Optionally, the time series data prediction model can be an LSTM model.

[0055] Example 4

[0056] The present invention also relates to a passenger conveyor device, wherein the passenger flow signal of the passenger detection system is transmitted to the comprehensive analysis unit through the passenger flow signal acquisition unit of the passenger detection system, and the load signal of the passenger conveyor device control system is transmitted to the comprehensive analysis unit through the load signal acquisition unit of the passenger conveyor device control system. Figure 2 Preferably, the comprehensive analysis unit is installed on a foundation pit of the passenger conveying equipment.

[0057] The working scenarios and technical effects of the present invention are as follows:

[0058] In the application scenario where the abnormal prompt unit of the passenger detection system is not configured, such as Figure 4 As shown, preferably, the comprehensive analysis unit provides external services for detecting whether there is a fault in the passenger detection system, passenger flow peak hours, off-peak hours, valley hours and load factor threshold values.

[0059] When the comprehensive analysis unit detects an abnormality in the passenger detection system, the passenger conveying equipment will automatically switch to the operation management mode built into the comprehensive analysis unit. Preferably, the time point of automatically switching to the operation management mode built into the comprehensive analysis unit is as follows: Figure 5 shown.

[0060] When the comprehensive analysis unit detects an abnormality in the passenger detection system, the passenger conveyor will automatically switch to the operation management mode built into the comprehensive analysis unit. At this time, the actual operating speed of the passenger conveyor changes with the passenger conveyor load rate curve as shown in the following figure: Figure 6 As shown, relative to Figure 5 The intelligent passenger conveyor equipment detection system and passenger conveyor equipment of the present invention can improve the energy-saving effect of the entire passenger conveyor equipment array.

Claims

1. An intelligent passenger conveyor equipment detection system, characterized in that: include: Passenger detection system passenger flow signal acquisition unit, used for real-time acquisition of passenger flow signals of the passenger detection system; Passenger conveyor equipment load signal acquisition unit, used for real-time acquisition of passenger conveyor equipment control system load signals; A comprehensive analysis unit is used to receive passenger flow signals from the passenger detection system and load signals from the passenger conveyor control system in real time, store the signals in real time, determine whether the passenger detection system signals have faults by comprehensively analyzing the real-time signals and historical signals, thereby improving the accuracy of passenger flow signal judgment, and output peak, off-peak, and low-peak passenger flow time periods and load factor thresholds to the passenger conveyor system control module. The control module automatically adjusts the operating power of the passenger conveyor motor according to the load factor thresholds and peak, off-peak, and low-peak passenger flow time periods; The passenger detection system abnormality prompt unit is used to provide real-time feedback on the passenger detection system operation status signal input by the comprehensive analysis unit; The comprehensive analysis unit includes a passenger detection system fault identification unit; When there is a preset deviation between the real-time data of the load of the passenger conveying equipment and the real-time data of the passenger flow of the passenger detection system, the passenger detection system fault identification unit determines that there is a fault in the passenger detection system; If the comprehensive analysis unit detects a fault in the passenger detection system, the passenger conveyor equipment will automatically switch to the operation management mode built into the comprehensive analysis unit; The comprehensive analysis unit controls the passenger conveying equipment to automatically switch to a peak, off-peak or off-peak period operation mode based on historical statistical data.

2. The intelligent passenger conveyor equipment detection system according to claim 1, characterized in that: The passenger flow signal acquisition unit of the passenger detection system transmits the passenger flow signal of the passenger detection system to the comprehensive analysis unit in real time through a serial port, Ethernet or wireless transmission communication mode.

3. The intelligent passenger conveyor equipment detection system according to claim 1, characterized in that: The passenger conveyor load signal acquisition unit transmits the passenger conveyor load signal to the comprehensive analysis unit in real time via a serial port, Ethernet or wireless transmission communication mode.

4. The intelligent passenger conveyor equipment detection system according to claim 1, characterized in that: The comprehensive analysis unit includes a data storage unit, The data storage unit stores multiple types of data, including real-time and historical data of passenger conveyor load, real-time and historical data of passenger flow of passenger detection system, real-time network communication status data, timestamp data, network communication abnormality history data and passenger conveyor load rate threshold.

5. The intelligent passenger conveyor equipment detection system according to claim 4, characterized in that: The comprehensive analysis unit includes a data statistics unit; The data statistics unit classifies and counts the various types of data in the data storage unit according to a statistical analysis method to obtain peak passenger flow periods, off-peak passenger flow periods, and off-peak passenger flow periods; The load factor threshold data is selected as the load data during the passenger flow peak period, off-peak period, and valley period multiplied by a preset proportional coefficient.

6. The intelligent passenger conveyor equipment detection system according to claim 1, characterized in that: The comprehensive analysis unit has built-in operation management modes for passenger conveying equipment during peak hours, off-peak hours and valley hours.

7. The intelligent passenger conveyor equipment detection system according to claim 6, characterized in that: The passenger detection system fault identification unit determines that there is a fault in the passenger detection system when the real-time passenger flow data of the passenger detection system remains unchanged for a period of time.

8. A passenger conveying device, characterized in that: The passenger conveyor equipment uses the intelligent passenger conveyor equipment detection system according to any one of claims 1 to 7, and the comprehensive analysis unit is installed on the foundation pit of the passenger conveyor equipment.

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