Method and system for monitoring illegal entering of battery car into elevator based on magnetic field detection

Abstract

The invention discloses a method and system for monitoring illegal entering of a battery car into an elevator based on magnetic field detection. The detection system comprises a magnetic field sensor array, a pressure detection assembly, a data acquisition module, a data analysis module and a controller. The detection method comprises the steps that the pressure sensor collects pressure data borne by the pressure detection assembly at a set time interval, and pressure data based on a time sequence are generated; constructing a constraint condition of a change rate of the pressure data along with time, and evaluating whether a battery car wheel possibly passes through the detection pedal or not; and acquiring magnetic field intensity data detected by the plurality of magnetic field sensors, calculating magnetic field intensity average values of different layers and magnetic field intensity differences among the calculated magnetic field intensity average values, and further evaluating whether the battery car enters the elevator car or not. The system has the advantages of intelligent battery car identification, stable and reliable operation, low construction cost, convenient maintenance and the like.

Description

Technical Field

[0001] The present invention relates to the field of elevator safety management, and particularly relates to a monitoring method and system for illegal entry of battery vehicles into elevators based on magnetic field detection. Background Art

[0002] With the rapid development of the economic society, the number of operating elevators has reached more than 10 million, and their safety is directly related to life and property safety and the stable operation of society. However, with the rapid popularization of battery vehicles, the number of spontaneous combustion accidents of battery vehicles in elevator cars shows an upward trend. In order to address this challenge, special equipment supervision departments in various places have issued bans to more effectively curb the occurrence of similar accidents. Therefore, there is an urgent need to develop a monitoring system and method for preventing battery vehicles from entering elevator cars.

[0003] In the prior art, the technologies for monitoring whether a battery vehicle enters an elevator car mainly have the following defects: 1. When using methods such as image recognition with a camera, if the battery vehicle is blocked or a new product of the battery vehicle is developed, neither the radar nor the camera can detect the battery vehicle.

[0004] 2. The monitoring system has a large number of devices, resulting in troublesome installation and high cost.

[0005] 3. Since a camera is required, the camera needs a corresponding algorithm to identify the battery vehicle, and the subsequent maintenance cost of the algorithm and other components is also a significant expense, with a high usage cost for maintenance. Summary of the Invention

[0006] In view of the above deficiencies in the prior art, the present invention provides a monitoring method and system for illegal entry of battery vehicles into elevators based on magnetic field detection.

[0007] In order to achieve the above invention objective, the technical solution adopted by the present invention is as follows: Provide a monitoring system for illegal entry of battery vehicles into elevators based on magnetic field detection, which includes: A magnetic field sensor array, the magnetic field sensor array includes at least three layers of magnetic field sensor detection groups, the magnetic field sensor detection group includes several magnetic field sensors annularly arranged on the side wall of the elevator car, and several magnetic field sensors are evenly distributed on two opposite side walls of the elevator car; A pressure detection component, the pressure detection component is installed on the ground at the entrance of the landing door, the pressure detection component includes a detection pedal, and a pressure sensor is installed at the lower end of the detection pedal; The installation height of the three layers of magnetic field sensor detection groups satisfies that the motor of the battery vehicle is located between two layers of magnetic field sensor detection groups, and another layer of magnetic field sensor detection group is arranged between the two layers of magnetic field sensor detection groups, and the height of the other layer of magnetic field sensor detection group is flush with the height of the motor of the battery vehicle; A data acquisition module, which is used to collect the pressure data and magnetic field intensity data collected by the pressure sensor and the magnetic field sensor, and preprocess the pressure data and magnetic field intensity data; A data analysis module, which determines whether the battery vehicle enters the elevator by analyzing the preprocessed pressure data and magnetic field intensity data; A controller, which generates a control signal according to the determination result output by the data analysis module, so that the alarm module generates different alarm signals.

[0008] There is provided a monitoring method for a monitoring system of a battery vehicle illegally entering an elevator based on magnetic field detection as described above, which includes the steps: S1: The pressure sensor collects the pressure data borne by the pressure detection component at a set time interval, and generates pressure data based on a time series , t is the acquisition time of the pressure data; S2: Based on a set time period T 1, determine whether the change rate of the pressure data with time on both sides of the peak value of the pressure data in the time period T 1 satisfies the constraint condition; If the constraint condition is satisfied, it is determined that there may be battery vehicle wheels passing through the detection pedal in the time period , and step S3 is executed. Otherwise, there are no battery vehicle wheels passing through the detection pedal in the time period T , and step S1 is returned; T S3: According to another time period T 2 whose interval duration satisfies , determine whether it is determined that there may be battery vehicle wheels passing through the detection pedal. If so, step S4 is executed. Otherwise, step S1 is returned; T T d v 1 are the start time of another time period T 2, the end time of the time period d 1, v is the wheelbase of the battery vehicle, is the speed at which the battery vehicle is pushed into the elevator; Among them, n is the magnetic field sensor number located on one side wall of the same floor and the elevator car, N is the number of magnetic field sensors located on one side wall of the same floor and the elevator car, is the n th magnetic field intensity collected by the magnetic field sensor; S5: Obtain the average value of the magnetic field intensity at three layers on one side wall of the elevator car , which are the average values of the magnetic field intensity at the upper, middle, and lower layers on the same side of the elevator car respectively; S6: Calculate the difference value between the average values of the intensities , which are the difference value of the magnetic field intensity between the middle layer and the upper layer, and the difference value of the magnetic field intensity between the middle layer and the lower layer respectively; S7: Repeat steps S4 - S6 to calculate the difference value of the magnetic field intensity between the average values of the magnetic field intensity at three layers on the other side wall of the elevator car ; S8: If the difference values of the magnetic field intensity on both sides of the elevator car both satisfy , , it is determined that an electric vehicle has entered the elevator car, the controller generates an alarm instruction, controls the alarm module to work, emits an alarm signal in the elevator car, and the elevator car door is in the open state; otherwise, no electric vehicle has entered the elevator car, and return to step S1.

[0009] Furthermore, the constraint condition for the rate of change of the pressure data with respect to time is; ; wherein, is the ideal rate of change difference of the pressure data when the electric vehicle wheel rolls over the detection pedal during the process of entering the elevator car, is the ideal rate of change range of the pressure data when the electric vehicle wheel rolls over the detection pedal during the process of entering the elevator car, are the maximum value and the minimum value of the ideal rate of change range respectively.

[0010] Furthermore, it also includes constructing an anti - interference suppression model for collecting the magnetic field intensity of the electric vehicle in the car by the magnetic field sensor, and using the anti - interference suppression model to correct the magnetic field intensity data; ; wherein, is the true magnetic field intensity collected by the magnetic field sensor, is the weight coefficient, is the fluctuation function of the magnetic field intensity varying with the transmission distance, d is the width on both sides of the car, is the basic weight coefficient, is the correction step factor, generally taking , is the regularization parameter.

[0011] The beneficial effects of the present invention are as follows: the monitoring system and method involved in the present invention can automatically detect the behavior of a battery car entering an elevator, and work in conjunction with the elevator control system to prevent the elevator from running. Only when the battery car is detected to have exited the elevator can the elevator operate normally, and the system has high practical value and promotion potential. The present invention uses pressure detection at the elevator door to pre-detect whether the elevator has entered the car, and then combines the battery car magnetic field detection and analysis in the car to make a comprehensive judgment on whether there is a battery car in the car. The system has the advantages of intelligent battery car identification, stable and reliable operation, low construction cost, and convenient maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 This is a block diagram of the principle of a monitoring system for electric bicycles illegally entering elevators based on magnetic field detection.

[0013] Figure 2 The figure is a flow chart of a method for monitoring electric bicycles that illegally enter elevators based on magnetic field detection.

[0014] Figure 3 Schematic diagram of magnetic field intensity acquisition for a magnetic field sensor array. DETAILED DESCRIPTION

[0015] The specific embodiments of the present invention are described below to facilitate understanding of the present invention by those skilled in the art. However, it should be clear that the present invention is not limited to the scope of the specific embodiments. For those skilled in the art, as long as various changes are within the spirit and scope of the present invention as defined and determined by the appended claims, these changes are obvious, and all inventions and creations utilizing the concepts of the present invention are protected.

[0016] like Figure 1 As shown, a monitoring system for battery-powered vehicles illegally entering elevators based on magnetic field detection includes: A magnetic field sensor array, the magnetic field sensor array including at least three layers of magnetic field sensor detection groups, the magnetic field sensor detection groups including a plurality of magnetic field sensors arranged in an annular manner on the side walls of the elevator car, the plurality of magnetic field sensors being evenly distributed on two opposite side walls of the elevator car; The pressure detection component is installed on the ground at the entrance of the landing door. The pressure detection component includes a detection pedal, and a pressure sensor is installed at the lower end of the detection pedal; The installation height of the three-layer magnetic field sensor detection group is such that the motor of the battery vehicle is located between two layers of the magnetic field sensor detection group, and the other layer of magnetic field sensor detection group is arranged between the two layers of magnetic field sensor detection groups, and the height of the other layer of magnetic field sensor detection group is flush with the height of the battery vehicle motor; During the implementation process, the bottommost layer of the magnetic field sensor detection group is close to the bottom of the elevator car. The height of the uppermost layer of the magnetic field sensor detection group is preferably greater than the height of the seat of a conventional battery-powered vehicle. The height difference between the middle layer of the magnetic field sensor detection group and the uppermost layer of the magnetic field sensor detection group is greater than the height difference between the middle layer of the magnetic field sensor detection group and the bottommost layer of the magnetic field sensor detection group.

[0017] A data acquisition module, which is used to collect the pressure data and magnetic field intensity data collected by the pressure sensor and the magnetic field sensor, and preprocess the pressure data and magnetic field intensity data. A data analysis module, which determines whether a battery-powered vehicle enters the elevator by analyzing the preprocessed pressure data and magnetic field intensity data. A controller, which generates a control signal according to the determination result output by the data analysis module, so that the alarm module generates different alarm signals.

[0018] As Figure 2 shown, the monitoring method of the monitoring system for illegal entry of a battery-powered vehicle into an elevator based on magnetic field detection described above includes the steps: S1: The pressure sensor collects the pressure data borne by the pressure detection component at a set time interval, and generates pressure data based on the time series , t being the acquisition time of the pressure data. S2: Based on a set time period T 1, determine whether the change rates of the pressure data on both sides of the peak value of the pressure data within the time period T 1 satisfy the constraint conditions; ; ; Wherein, is the ideal change rate difference of the pressure data when the battery-powered vehicle wheel rolls over the detection pedal during the process of entering the elevator car, is the ideal change rate range of the pressure data when the battery-powered vehicle wheel rolls over the detection pedal during the process of entering the elevator car, are respectively the maximum value and the minimum value of the ideal change rate range; If the constraint conditions are satisfied, it is determined that there may be a battery-powered vehicle wheel passing through the detection pedal within the time period T , and step S3 is executed. Otherwise, there is no battery-powered vehicle wheel passing through the detection pedal within the time period T , and the process returns to step S1; After testing, when the battery vehicle enters the elevator car and rolls over the detection pedal, the pressure data slowly increases to the maximum value and then slowly decreases to 0. When entering, as the area of the battery vehicle wheel entering the detection pedal increases, the pressure value gradually increases, and when leaving, the pressure value gradually decreases. The change rate of this pressure value fluctuating with time can be used to determine whether the battery vehicle wheel rolls over the detection pedal. Different from the change rate of the pressure value generated by the battery vehicle wheel rolling over the detection pedal, the process of a person stepping on the detection pedal is transient, and the duration for the pressure value to increase from 0 to the extreme value is very short, which can be used to distinguish between a person stepping on and the battery vehicle wheel rolling over.

[0019] S3: According to the interval duration satisfying of another time period T 2, determine whether it is determined that there may be a battery vehicle wheel passing through the detection pedal. If so, execute step S4; otherwise, return to step S1; are respectively the start time of another time period T 2, the termination time of time period T 1, d is the wheelbase of the battery vehicle, v is the speed at which the battery vehicle is pushed into the elevator; only when the first wheel and the second wheel simultaneously meet the constraint conditions, it is determined that a battery vehicle enters the elevator, reducing the probability of misjudgment.

[0020] S4: Collect the magnetic field intensity data detected by several magnetic field sensors, and calculate the average magnetic field intensity ; ; Among them, n is the number of the magnetic field sensor located on one side wall of the same floor and the elevator car, N is the number of magnetic field sensors located on one side wall of the same floor and the elevator car, is the n th magnetic field intensity collected by the magnetic field sensor; The distribution of the magnetic field sensor array in the elevator car is as Figure 3 shown, and whether there is a battery vehicle is evaluated through the magnetic field intensity difference at different positions.

[0021] S5: Obtain the average magnetic field intensity of three layers on one side wall of the elevator car, are respectively the average magnetic field intensities of the upper layer, middle layer, and lower layer on the same side of the elevator car; S6: Calculate the difference value between the average intensities ; are respectively the magnetic field intensity difference value between the middle layer and the upper layer, and the magnetic field intensity difference value between the middle layer and the lower layer; S7: Repeat steps S4 - S6 to calculate the magnetic field intensity difference value between the average magnetic field intensity values of the three layers on the other side wall of the elevator car. ; S8: If the magnetic field intensity difference values on both sides of the elevator car both satisfy , , it is determined that a battery vehicle has entered the elevator car. The controller generates an alarm instruction, controls the alarm module to work, emits an alarm signal in the elevator car, and the elevator car door is in the open state; otherwise, no battery vehicle has entered the elevator car, and return to step S1.

[0022] In the present invention, the anti - interference suppression model for the magnetic field sensor to collect the magnetic field intensity of the battery vehicle in the car is as follows. The anti - interference suppression model is used to correct the magnetic field intensity data to reduce the error of the magnetic field intensity data: ; Wherein, is the true magnetic field intensity collected by the magnetic field sensor, is the weight coefficient, is the fluctuation function of the magnetic field intensity changing with the transmission distance, d is the width of both sides of the car, is the basic weight coefficient, is the correction step factor, generally taking , is the regularization parameter.

[0023] The monitoring system and method involved in the present invention can automatically detect the behavior of a battery vehicle entering the elevator, and be linked with the elevator control system to prevent the elevator from running. After detecting that the battery vehicle has exited the elevator, the elevator can run normally, which has high practical value and promotion potential. The present invention uses the pressure detection at the elevator door to pre - detect whether the elevator enters the car, and then combines the magnetic field detection and analysis of the battery vehicle in the car to comprehensively determine whether there is a battery vehicle in the car. The system has the advantages of intelligent battery vehicle identification, stable and reliable operation, low construction cost, and convenient maintenance.

Claims

1. A monitoring system for illegally entering an elevator by an electric vehicle based on magnetic field detection, characterized in that, Including: A magnetic field sensor array, which includes at least three layers of magnetic field sensor detection groups. Each magnetic field sensor detection group includes a number of magnetic field sensors annularly arranged on the side wall of the elevator car, and several of the magnetic field sensors are evenly distributed on two opposite side walls of the elevator car; A pressure detection component, which is installed on the ground at the entrance of the landing door. The pressure detection component includes a detection pedal, and a pressure sensor is installed at the lower end of the detection pedal; The installation heights of the three layers of magnetic field sensor detection groups are such that the motor of the battery car is located between two of the magnetic field sensor detection groups, and another magnetic field sensor detection group is arranged between the two magnetic field sensor detection groups, and the height of the other magnetic field sensor detection group is flush with the height of the motor of the battery car; A data acquisition module, which is used to acquire the pressure data and magnetic field intensity data collected by the pressure sensor and the magnetic field sensor, and preprocess the pressure data and magnetic field intensity data; A data analysis module, which determines whether the battery car enters the elevator by analyzing the preprocessed pressure data and magnetic field intensity data; A controller, according to the determination result output by the data analysis module, generates a control signal to make the alarm module generate different alarm signals.

2. A monitoring method for a monitoring system of an electric vehicle illegally entering an elevator based on magnetic field detection according to claim 1, characterized in that, Including steps: S1: The pressure sensor collects the pressure data borne by the pressure detection component at set time intervals and generates time-series-based pressure data , t where $t$ is the acquisition time of the pressure data; S2: Based on a set time period T within 1, determine whether the time period T the peak value of the pressure data within 1 the change rate of the pressure data on both sides over time satisfies the constraint condition; If the constraint conditions are met, it is determined that there may be a battery cart wheel passing through the detection pedal within the time period T , and step S3 is executed. Otherwise, within the time period T , there is no battery cart wheel passing through the detection pedal, and step S1 is returned; S3: According to whether there is another time period that satisfies the interval duration within T 2, it is determined whether it is determined that there may be a battery cart wheel passing through the detection pedal. If so, step S4 is executed; otherwise, return to step S1. are respectively another time period T the start time and time period of 2 T the end time of 1, d is the wheelbase of the battery car, v is the speed at which the battery car is pushed into the elevator; S4: Collect the magnetic field intensity data detected by several magnetic field sensors, and calculate the average magnetic field intensity values located on the same layer and on one side wall of the elevator car respectively ; ； Among them, n is the number of magnetic field sensors located on the same floor and one side wall of the elevator car, N is the number of magnetic field sensors located on the same floor and one side wall of the elevator car, is the n magnetic field intensity collected by the magnetic field sensor; S5: Obtain the average value of the magnetic field intensity at three layers on one side wall of the elevator car , which are respectively the average values of the magnetic field intensity at the upper, middle, and lower layers on the same side of the elevator car S6: Calculate the average intensity of the difference value , which are the difference values of the magnetic field intensity between the middle layer and the upper layer, and the difference value of the magnetic field intensity between the middle layer and the lower layer respectively; S7: Repeat steps S4 - S6 to calculate the magnetic field intensity difference value between the average values of the magnetic field intensities of the other three side walls of the elevator car ; S8: If the difference values of the magnetic field intensities on both sides of the elevator car satisfy , , it is determined that an electric vehicle has entered the elevator car. The controller generates an alarm instruction to control the alarm module to work and emit an alarm signal in the elevator car. The elevator car door is in the open state; otherwise, no electric vehicle has entered the elevator car, and return to step S1.

3. The monitoring method of the monitoring system for illegal entry of battery vehicles into elevators based on magnetic field detection according to claim 2, characterized in that, The constraint condition of the change rate of the pressure data over time is; ； Among them, is the ideal change rate difference of the pressure data when the battery cart wheel rolls over the detection pedal during the process of entering the elevator car, is the ideal change rate range of the pressure data when the battery cart wheel rolls over the detection pedal during the process of entering the elevator car, are the maximum value and the minimum value of the ideal change rate range respectively.

4. The monitoring method of the monitoring system for illegal entry of battery vehicles into elevators based on magnetic field detection according to claim 2, characterized in that, It also includes constructing an anti-interference suppression model for the magnetic field sensor to collect the magnetic field intensity of the battery car in the car, and using the anti-interference suppression model to correct the magnetic field intensity data. ； Among them, is the true magnetic field intensity collected by the magnetic field sensor, is the weight coefficient, is the fluctuation function of the magnetic field intensity changing with the transmission distance, d is the width on both sides of the car, is the basic weight coefficient, is the correction step factor, is the regularization parameter.

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