Real-time elevator monitoring method

Abstract

The invention relates to the technical field of elevator power supply control, and discloses an elevator real-time monitoring method which comprises the following steps: step 1, acquiring operation data of an elevator car, working parameters of elevator components and historical maintenance records at all time points; secondly, the running state of each elevator car is monitored, a monitoring data set is generated, whether the elevator breaks down or not is judged, and a corresponding alarm signal is output; 3, setting a monitoring period with a fixed time length, analyzing the change trend of the working parameters of each elevator assembly, and generating a corresponding fluctuation data set; fourthly, a flow difference threshold value and a pressure difference threshold value in a fixed range are set, the fault risk level of each elevator assembly is judged, a corresponding alarm signal is output, and the accuracy of comprehensively analyzing abnormal faults is high; 5, the quality score of each elevator car is analyzed; and step 6, according to the alarm signal, the fluctuation data group and the quality score, making corresponding emergency power supply measures, so that emergency power supply control is more timely and effective.

Description

Technical Field

[0001] The present invention relates to the technical field of elevator control, and in particular to a real-time monitoring method for an elevator. Background Art

[0002] In order to ensure the safe operation of the elevator, the focus is on regular inspection and maintenance of the power supply, control cabinet, motor, frequency converter, electrical safety device, lighting signal system, reserve power supply and cable wiring. The elevator is usually powered by the building's power grid. The power supply voltage can be single-phase or three-phase, and the power line usually includes power line, control line and safety line. The control cabinet is responsible for receiving operating instructions, monitoring the elevator status, and commanding the start, stop, running direction and speed of the elevator. The types of motors include AC motors and DC motors, which are responsible for providing power for the elevator, converting electrical energy into mechanical energy, and driving the elevator car up and down. The frequency converter adjusts the output frequency and voltage according to the load and operating status of the elevator, controls the speed and torque of the motor, and thus controls the running speed and acceleration of the elevator. The elevator is equipped with a variety of electrical safety devices, such as overload protection, short-circuit protection, emergency stop switch, door lock circuit, etc., to ensure the safety of passengers. The lighting signal system inside the elevator also requires power supply, including floor indicator lights, running direction indicator lights and emergency lighting. In order to ensure the safety of passengers in the event of a power outage, some elevators are equipped with reserve power systems, such as uninterruptible power supplies or generators. The elevator's cabling system is responsible for transmitting power from the control cabinet to the motors and other electrical equipment.

[0003] At present, traditional elevator emergency power supply control methods lack in-depth analysis capabilities and find it difficult to quickly identify the causes of abnormal elevator operation. When faced with emergencies such as power outages and elevator falls, it is impossible to intelligently formulate effective emergency power supply measures, making it difficult to ensure the safety and stability of elevator operation, posing a huge safety hazard to passengers. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention provides a real-time monitoring method for elevators, which has the advantages of high accuracy in comprehensive analysis of abnormal faults and more timely and effective emergency power supply control. It solves the problem that traditional elevator emergency power supply control methods are difficult to quickly identify abnormal operations and the emergency control is poor in timeliness and effectiveness.

[0005] To achieve the above object, the present invention provides the following technical solution: a real-time monitoring method for an elevator, comprising the following steps:

[0006] Step 1: Connect the central control console, sensor device and database through the network to obtain the operation data of all elevator cars, the working parameters of all elevator components and the historical maintenance records at all time points, and classify them into operation data set, power supply data set and historical data set;

[0007] Step 2: Set a load threshold ZY and a speed threshold SY with a fixed range, and then combine the running data set to monitor the running status of each elevator car, generate the corresponding monitoring data group Jksj, and determine whether the elevator has a fault and output the corresponding alarm signal;

[0008] Step 3: Set a fixed-length monitoring period Q, and then combine the power supply data set to analyze the change trend of each elevator component working parameter to generate the corresponding fluctuation data group Bdsj;

[0009] Step 4: Set the flow difference threshold ICY and pressure difference threshold UCY with a fixed range, and then combine the fluctuation data group Bdsj to determine the fault risk level of each elevator component and output the corresponding alarm signal;

[0010] Step 5: Analyze the quality score Zlpf of each elevator car based on the historical data set;

[0011] Step 6: Develop corresponding emergency power supply measures based on the alarm signal, fluctuation data group Bdsj and quality score Zlpf.

[0012] Preferably, in step 1, the expression of the running data set is {Y1 d 、Y2 d 、Y3 d 、...、Yn d}, Y1 d To Yn d They are the operating data of the first to nth elevator cars respectively, the operating data including load, operating speed and operating direction, and d represents the time point of obtaining the operating data of a single elevator car.

[0013] Preferably, in step 1, the expression of the power supply data set is {DY s , KZ s , DJ s , BP s , AQ s CB s}, DY s Indicates the working parameters of the power supply, KZ s Indicates the working parameters of the control cabinet, DJ s Indicates the working parameters of the motor, BP s Indicates the working parameters of the inverter, AQ s Indicates the working parameters of the safety device, CB s Indicates the working parameters of the reserve power supply.

[0014] Preferably, in step 1, the expression of the historical data set is {L1 b 、L2 b 、L3 b , ..., Lmb}, L1 b To Lm b They are the first to mth historical maintenance records respectively. The historical maintenance records include the cause of the failure and the parts replacement list. b represents the elevator car number corresponding to the historical maintenance record.

[0015] Preferably, in step 2, the calculation process of the monitoring data group Jksj is as follows:

[0016] Extract the operation data of the i-th elevator car in the operation data set, and mark the load of the i-th elevator car as ZA i , mark the running speed of the i-th elevator car as YS i , mark the running direction of the i-th elevator car as YX i ;

[0017]

[0018] In the formula, Jksj represents the monitoring data group, minZY and maxZY are the minimum and maximum values ​​of the load threshold ZY, respectively, minZY≤ZA i ≤maxZY means comparing the load of the i-th elevator car to the load threshold, maxSY and maxSY are the minimum and maximum values ​​of the speed threshold SY respectively, maxSY≤YS i ≤maxSY means comparing the running speed of the ith elevator car with the speed threshold, ZL means the running instruction received by the ith elevator car at the current time point, ZL∩YX i Represents the intersection of the command direction and the running direction of the i-th elevator car.

[0019] Preferably, in the step 2, when the load of the elevator car in the monitoring data group Jksj exceeds the load threshold maxZY, it indicates that the elevator is in an overweight state and a corresponding overweight alarm is generated; when the load of the elevator car in the monitoring data group Jksj is lower than the load threshold minZY, it indicates that the elevator is in a weightless state and a corresponding weightless alarm is generated; when the running speed of the elevator car in the monitoring data group Jksj is not within the speed threshold SY or the command direction is inconsistent with the running direction of the elevator car, it indicates that the elevator is in an out-of-control state and a corresponding out-of-control alarm is generated.

[0020] Preferably, in step 3, the calculation process of the fluctuation data group Bdsj is as follows:

[0021] According to the power supply data set, the current value of the power supply during the monitoring period Q is marked as {I1 DY 、I2 DY 、I3 DY , ..., Ia DY}, I1 DYto Ia DY are the current values ​​of the power supply from the first time point to the ath time point, and the voltage value of the power supply during the monitoring period Q is marked as {U1 DY 、U2 DY 、U3 DY 、...、Ub DY},U1 DY To Ub DY are the voltage values ​​of the power supply from the first time point to the bth time point respectively;

[0022]

[0023]

[0024]

[0025] In the formula, Bdsj represents the fluctuation data group, Indicates the average current value of the power supply during the monitoring period Q Indicates the average voltage value of the power supply during the monitoring period Q maxI DY and minI DY They are the maximum current value and minimum current value of the power supply during the monitoring period Q, maxI DY -minI DY Indicates the extreme value of the power supply current, Ie DY represents the current value of the power supply at the e-th time point, According to the variance formula, the variance value is the fluctuation index of the power supply current value, maxU DY andminU DY They are the maximum and minimum voltage values ​​of the power supply during the monitoring period Q, maxU DY -minU DY Indicates the extreme difference of the power supply voltage, Uf DY represents the voltage value of the power supply at the fth time point, It means that according to the variance formula, the variance value obtained is the fluctuation index of the power supply voltage value.

[0026] Preferably, in step 4, when the fluctuation index of the current value in the fluctuation data group Bdsj exceeds the current difference threshold ICY or the fluctuation index of the voltage value exceeds the voltage difference threshold UCY, it indicates that the fault risk level of the elevator component is high, and a corresponding component alarm is generated.

[0027] Preferably, in step 5, the quality score Zlpf calculation process is as follows:

[0028] According to the historical data set, the historical maintenance records of the k-th elevator car at all time points are counted, and the total number of historical maintenance times of the k-th elevator car is marked as CS k , mark the total number of parts replaced in the kth elevator car as LS k

[0029]

[0030] In the formula, Zlpf represents the quality score, Δt represents the total running time of the kth elevator car, represents the total number of historical maintenance times divided by the total operating time, which is the maintenance frequency of the kth elevator car. α represents the weight for the maintenance frequency of the elevator car. ZS k represents the total number of parts of the kth elevator car, It represents the ratio of the total number of parts replaced to the total number of parts, that is, the parts replacement ratio. β represents the weight of the replacement ratio of elevator car parts. Both α and β are constants, and α+β=1. It means that the quality score of the k-th elevator car is obtained by combining the maintenance frequency and parts replacement ratio according to the α and β weights.

[0031] Preferably, in step six, when a single elevator car loses an overweight alarm, a weightlessness alarm or a loss of control alarm, based on the fluctuation data group Bdsj, the reserve power is used to preferentially start the elevator components with a low fault risk level, and after the elevator operation is restored using the reserve power, the elevator car with a lower quality score Zlpf is prioritized for maintenance based on the quality score Zlpf.

[0032] Compared with the prior art, the present invention provides a real-time monitoring method for elevators, which has the following beneficial effects:

[0033] 1. The present invention connects the central control console, the sensor device and the database through the network, obtains the operation data of all elevator cars, the working parameters of all elevator components and the historical maintenance records of all time points, and classifies them into operation data sets, power supply data sets and historical data sets, and then sets the load threshold ZY and speed threshold SY in a fixed range, monitors the operation status of each elevator car, generates a corresponding monitoring data group Jksj, and determines whether the elevator fails. If it fails, it outputs a corresponding alarm signal, sets a fixed-time monitoring period Q, analyzes the change trend of the working parameters of each elevator component, and generates a corresponding fluctuation data group Bdsj. The instability of the working parameters of different elevator components will cause the elevator to lose control and power off. When the fluctuation index of the current value in the fluctuation data group Bdsj exceeds the current difference threshold ICY or the fluctuation index of the voltage value exceeds the voltage difference threshold UCY, it indicates that the fault risk level of the elevator component is high, and a corresponding component alarm is generated, and the comprehensive analysis of abnormal faults is highly accurate.

[0034] 2. The present invention analyzes the quality score Zlpf of each elevator car through historical data sets, and then formulates corresponding emergency power supply measures according to the alarm signal, the fluctuation data group Bdsj and the quality score Zlpf. When a single elevator car loses an overweight alarm, a weightlessness alarm or a loss of control alarm, according to the fluctuation data group Bdsj, the reserve power is used to preferentially start the elevator components with a low fault risk level. After the elevator operation is restored using the reserve power, the elevator car with a lower quality score Zlpf is prioritized for maintenance according to the quality score Zlpf, so that the emergency power supply control is more timely and effective. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 It is a step diagram of the method of the present invention. DETAILED DESCRIPTION

[0036] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0037] Since traditional elevator emergency power supply control methods lack in-depth analysis capabilities, it is difficult to quickly identify the cause of abnormal elevator operation. In the face of emergency situations such as power outages and elevator falls, it is impossible to intelligently formulate effective emergency power supply measures, making it difficult to ensure the safety and stability of elevator operation, which poses a great safety hazard to passengers. Therefore, a real-time elevator monitoring method is provided. Please refer to Figure 1 , the method comprises the following steps:

[0038] Step 1: Connect the central control console, sensor device and database through the network to obtain the operation data of all elevator cars, the working parameters of all elevator components and the historical maintenance records at all time points, and classify them into operation data set, power supply data set and historical data set;

[0039] The expression of the running data set is {Y1 d 、Y2 d 、Y3 d 、...、Yn d}, Y1 d To Yn d The operating data of the first to nth elevator cars are respectively, and the operating data include load, operating speed and operating direction. d represents the time point of obtaining the operating data of a single elevator car. Real-time monitoring of the operating data of each elevator car is helpful for rapid identification of the cause of abnormal operation later;

[0040] The expression of the power supply data set is {DY s, KZ s , DJ s , BP s , AQ s CB s}, DY s Indicates the working parameters of the power supply, including current and voltage values, KZ s Indicates the working parameters of the control cabinet, including current and voltage values, DJ s Indicates the working parameters of the motor, including speed and voltage value, BP s Indicates the working parameters of the inverter, including frequency and voltage values, AQ s Indicates the working parameters of the safety device, including current and voltage values, CB s Indicates the working parameters of the reserve power supply, including capacity and voltage value;

[0041] The expression of the historical data set is {L1 b 、L2 b 、L3 b , ..., Lm b}, L1 b To Lm b They are the historical maintenance records from the first to the mth time, and the historical maintenance records include the cause of the failure and the parts replacement list. b represents the elevator car number corresponding to the historical maintenance record. Comprehensive collection of the historical maintenance records of each elevator car is helpful for maintenance work after power supply is restored;

[0042] Step 2: Set a fixed range of load threshold ZY and speed threshold SY, and then combine the running data set to monitor the running status of each elevator car to generate the corresponding monitoring data group Jksj. The calculation process is as follows:

[0043] Extract the operation data of the i-th elevator car in the operation data set, and mark the load of the i-th elevator car as ZA i , mark the running speed of the i-th elevator car as YS i , mark the running direction of the i-th elevator car as YX i ;

[0044]

[0045] In the formula, Jksj represents the monitoring data group, minZY and maxZY are the minimum and maximum values ​​of the load threshold ZY, respectively, minZY≤ZA i ≤maxZY means comparing the load of the i-th elevator car with the load threshold, minSY and maxSY are the minimum and maximum values ​​of the speed threshold SY respectively, minSY≤YS i≤maxSY means comparing the running speed of the ith elevator car with the speed threshold, ZL means the running instruction received by the ith elevator car at the current time point, ZL∩YX i represents the intersection of the command direction and the running direction of the i-th elevator car. If the intersection is an empty set, it means that the command direction is inconsistent with the running direction of the elevator car.

[0046] According to the monitoring data group Jksj, it is judged whether the elevator has a fault. When the load of the elevator car in the monitoring data group Jksj exceeds the load threshold maxZY, it means that the elevator is in an overweight state and a corresponding overweight alarm is generated. The abnormal load may trigger the elevator's safety protection mechanism, causing the elevator to stop running. When the load of the elevator car in the monitoring data group Jksj is lower than the load threshold minZY, it means that the elevator is in a weightless state and a corresponding weightless alarm is generated. The sense of weightlessness is not directly equivalent to abnormal elevator operation, and further judgment is required in combination with the running speed. When the running speed of the elevator car in the monitoring data group Jksj is not within the speed threshold SY range (that is, the elevator car running speed is greater than maxSY or the elevator running speed is less than minSY) or the command direction is inconsistent with the elevator car running direction, it means that the elevator is out of control and a corresponding out-of-control alarm is generated. The elevator suddenly changes direction or stops during operation, which clearly indicates that there may be a problem with the power supply;

[0047] Step 3: Set a fixed-length monitoring period Q, and then combine the power supply data set to analyze the change trend of each elevator component working parameter to generate the corresponding fluctuation data group Bdsj. The calculation process is as follows:

[0048] According to the power supply data set, the current value of the power supply during the monitoring period Q is marked as {I1 DY 、I2 DY 、I3 DY , ..., Ia DY}, I1 DY to Ia DY are the current values ​​of the power supply from the first time point to the ath time point, and the voltage value of the power supply during the monitoring period Q is marked as {U1 DY 、U2 DY 、U3 DY ,...,UB DY},U1 DY To Ub DY are the voltage values ​​of the power supply from the first time point to the bth time point respectively;

[0049]

[0050]

[0051] In the formula, Bdsj represents the fluctuation data group, Indicates the average current value of the power supply during the monitoring period Q Indicates the average voltage value of the power supply during the monitoring period Q maxI DY and minI DY They are the maximum current value and minimum current value of the power supply during the monitoring period Q, maxI DY -minI DY Indicates the extreme value of the power supply current, Ie DY represents the current value of the power supply at the e-th time point, According to the variance formula, the variance value is the fluctuation index of the power supply current value, maxU DY andminU DY They are the maximum and minimum voltage values ​​of the power supply during the monitoring period Q, maxU DY -minU DY Indicates the extreme difference of the power supply voltage, Uf DY represents the voltage value of the power supply at the fth time point, It means that according to the variance formula, the variance value obtained is the fluctuation index of the power supply voltage value. The instability of the working parameters of different elevator components will cause the elevator to lose control and power off. The fluctuation data group Bdsj of different elevator components is calculated according to the above formula for the range and variance value of each working parameter. Specifically, the power supply, control cabinet and safety device are calculated according to the current value and voltage value, the motor is calculated according to the speed and voltage value, the inverter is calculated according to the frequency and voltage value, and the reserve power supply is calculated according to the capacity and voltage value;

[0052] Step 4: Set a fixed range of current difference threshold ICY and voltage difference threshold UCY, and then combine the fluctuation data group Bdsj to determine the fault risk level of each elevator component. When the fluctuation index of the current value in the fluctuation data group Bdsj exceeds the current difference threshold ICY or the fluctuation index of the voltage value exceeds the voltage difference threshold UCY, it indicates that the fault risk level of the elevator component is high, and the corresponding component alarm is generated, so that the accuracy of comprehensive analysis of abnormal faults is high;

[0053] Step 5: Analyze the quality score Zlpf of each elevator car based on the historical data set. The calculation process is as follows:

[0054] According to the historical data set, the historical maintenance records of the k-th elevator car at all time points are counted, and the total number of historical maintenance times of the k-th elevator car is marked as CS k , mark the total number of parts replaced in the kth elevator car as LS k

[0055]

[0056] In the formula, Zlpf represents the quality score, Δt represents the total running time of the kth elevator car, represents the total number of historical maintenance times divided by the total operating time, which is the maintenance frequency of the kth elevator car. α represents the weight for the maintenance frequency of the elevator car. ZS k represents the total number of parts of the kth elevator car, It represents the ratio of the total number of parts replaced to the total number of parts, that is, the parts replacement ratio. β represents the weight of the replacement ratio of elevator car parts. Both α and β are constants, and α+β=1. It means that the quality score of the k-th elevator car is obtained according to the α and β weights, the maintenance frequency and the parts replacement ratio are integrated;

[0057] Step 6: According to the alarm signal, fluctuation data group Bdsj and quality score Zlpf, formulate corresponding emergency power supply measures. When a single elevator car fails and there is a serious alarm and out-of-control alarm, according to the fluctuation data group Bdsj, use the reserve power to prioritize the start of elevator components with low fault risk levels. After the elevator is restored to operation using the reserve power, then according to the quality score Zlpf, prioritize the maintenance of elevator cars with lower quality scores Zlpf, so that emergency power supply control is more timely and effective.

[0058] Example 1: In this experiment, a passenger elevator is selected as the experimental object. After testing, the load of the elevator at the current time point is 900 kg, the running speed is 2.5 m / s, and the running direction is the ascending direction. The rated load range of the elevator is 800-2000 kg, the rated running speed is 1.0-3.0 m / s, and the received running instruction is the ascending direction. The calculation formula of the monitoring data group Jksj of the elevator is as follows:

[0059]

[0060] In the formula, Jksj represents the monitoring data group, 800≤900≤2000 means comparing the load of the elevator car with the load threshold, 1.0≤2.5≤3.0 means comparing the running speed of the elevator car with the speed threshold, and the command direction is consistent with the running direction of the elevator car, both are in the upward direction. After judgment, the elevator is in normal operation and no alarm signal is output.

[0061] Example 2: In this experiment, a freight elevator with a rated power of 7.5kW was selected as the experimental object. After testing, within 5 minutes, the current values ​​of the power supply were 14.9A, 15.2A, 15.5A, 14.5A and 15.5A, and the voltage values ​​of the power supply were 377V, 380V, 381V, 386V and 375V, respectively. The calculation formula of the fluctuation data group BNdsj of the freight elevator is as follows:

[0062]

[0063]

[0064]

[0065] In the formula, BNdsj represents the fluctuation data group, and 15.12A represents the average current value of the power supply within 5 minutes. 381.8U represents the average voltage value of the power supply within 5 minutes 1A represents the range of the power supply current value. According to the variance formula, the variance value of 0.2056 is the fluctuation index of the power supply current value. 11U represents the range of the power supply voltage value. According to the variance formula, the variance value of 18.16 is the fluctuation index of the power supply voltage value. The fluctuation index is recorded. When a single elevator car loses the overweight alarm, weightlessness alarm and out-of-control alarm, according to the fluctuation data group Bdsj, the reserve power is used to start the elevator components with low fault risk level first. After the reserve power is used to restore the elevator operation, the elevator car with lower quality score Zlpf is maintained first according to the quality score Zlpf.

[0066] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A real-time monitoring method for an elevator, characterized in that: The following steps are involved: Step 1: Connect the central control console, sensor device and database through the network to obtain the operation data of all elevator cars, the working parameters of all elevator components and the historical maintenance records at all time points, and classify them into operation data set, power supply data set and historical data set; Step 2: Set a load threshold ZY and a speed threshold SY with a fixed range, and then combine the running data set to monitor the running status of each elevator car, generate the corresponding monitoring data group Jksj, and determine whether the elevator has a fault and output the corresponding alarm signal; Step 3: Set a fixed-length monitoring period Q, and then combine the power supply data set to analyze the change trend of each elevator component working parameter to generate the corresponding fluctuation data group Bdsj; Step 4: Set the flow difference threshold ICY and pressure difference threshold UCY with a fixed range, and then combine the fluctuation data group Bdsj to determine the fault risk level of each elevator component and output the corresponding alarm signal; Step 5: Analyze the quality score Zlpf of each elevator car based on the historical data set; Step 6: Develop corresponding emergency power supply measures based on the alarm signal, fluctuation data group Bdsj and quality score Zlpf.

2. A real-time monitoring method for an elevator according to claim 1, characterized in that: In step 1, the expression of the running data set is {Y1 d 、Y2 d 、Y3 d 、...、Yn d }, Y1 d To Yn d They are the operating data of the first to the nth elevator cars, respectively. The operating data include load, operating speed and operating direction. d represents the time point of obtaining the operating data of a single elevator car.

3. A real-time monitoring method for an elevator according to claim 1, characterized in that: In step 1, the expression of the power supply data set is {DY s , KZ s , DJ s , BP s , AQ s CB s }, DY s Indicates the working parameters of the power supply, KZ s Indicates the working parameters of the control cabinet, DJ s Indicates the working parameters of the motor, BP s Indicates the working parameters of the inverter, AQ s Indicates the working parameters of the safety device, CB s Indicates the working parameters of the reserve power supply.

4. A real-time monitoring method for an elevator according to claim 1, characterized in that: In step 1, the expression of the historical data set is {L1 b 、L2 b 、L3 b , ..., Lm b }, L1 b To Lm b They are the first to mth historical maintenance records respectively. The historical maintenance records include the cause of the failure and the parts replacement list. b represents the elevator car number corresponding to the historical maintenance record.

5. The elevator real-time monitoring method according to claim 1, characterized in that: In step 2, the calculation process of the monitoring data group Jksj is as follows: Extract the operation data of the i-th elevator car in the operation data set, and mark the load of the i-th elevator car as ZA i , mark the running speed of the i-th elevator car as YS i , mark the running direction of the i-th elevator car as YX i ; In the formula, Jksj represents the monitoring data group, minZY and maxZY are the minimum and maximum values ​​of the load threshold ZY, respectively, minZY≤ZA i ≤maxZY means comparing the load of the i-th elevator car with the load threshold, maxSY and maxSY are the minimum and maximum values ​​of the speed threshold SY respectively, minSY≤YS i ≤maxSY means comparing the running speed of the ith elevator car with the speed threshold, ZL means the running instruction received by the ith elevator car at the current time point, ZL∩YX i Represents the intersection of the command direction and the running direction of the i-th elevator car.

6. A real-time monitoring method for an elevator according to claim 5, characterized in that: In the step 2, when the load of the elevator car in the monitoring data group Jksj exceeds the load threshold maxZY, it indicates that the elevator is in an overweight state and a corresponding overweight alarm is generated. When the load of the elevator car in the monitoring data group Jksj is lower than the load threshold minZY, it indicates that the elevator is in a weightless state and a corresponding weightless alarm is generated. When the running speed of the elevator car in the monitoring data group Jksj is not within the speed threshold SY or the command direction is inconsistent with the running direction of the elevator car, it indicates that the elevator is in an out-of-control state and a corresponding out-of-control alarm is generated.

7. A real-time monitoring method for an elevator according to claim 1, characterized in that: In step 3, the calculation process of the fluctuation data group Bdsj is as follows: According to the power supply data set, the current value of the power supply during the monitoring period Q is marked as {I1 DY 、I2 DY 、I3 DY , ..., Ia DY }, I1 DY to Ia DY are the current values ​​of the power supply from the first time point to the ath time point, and the voltage value of the power supply during the monitoring period Q is marked as {U1 DY 、U2 DY 、U3 DY 、...、Ub DY },U1 DY To Ub DY are the voltage values ​​of the power supply from the first time point to the bth time point respectively; In the formula, Bdsj represents the fluctuation data group, Indicates the average current value of the power supply during the monitoring period Q Indicates the average voltage value of the power supply during the monitoring period Q maxI DY and minI DY They are the maximum current value and minimum current value of the power supply during the monitoring period Q, maxI DY -minI DY Indicates the extreme value of the power supply current, Ie DY represents the current value of the power supply at the e-th time point, According to the variance formula, the variance value is the fluctuation index of the power supply current value, maxU DY andminU DY They are the maximum and minimum voltage values ​​of the power supply during the monitoring period Q, maxU DY -minU DY Indicates the extreme difference of the power supply voltage, Uf DY represents the voltage value of the power supply at the fth time point, It means that according to the variance formula, the variance value obtained is the fluctuation index of the power supply voltage value.

8. The elevator real-time monitoring method according to claim 1, characterized in that: In the step 4, when the fluctuation index of the current value in the fluctuation data group Bdsj exceeds the current difference threshold ICY or the fluctuation index of the voltage value exceeds the voltage difference threshold UCY, it indicates that the fault risk level of the elevator component is high, and a corresponding component alarm is generated.

9. A real-time monitoring method for an elevator according to claim 4, characterized in that: In step 5, the quality score Zlpf calculation process is as follows: According to the historical data set, the historical maintenance records of the k-th elevator car at all time points are counted, and the total number of historical maintenance times of the k-th elevator car is marked as CS k , mark the total number of parts replaced in the kth elevator car as LS k In the formula, Zlpf represents the quality score, Δt represents the total running time of the kth elevator car, represents the total number of historical maintenance times divided by the total operating time, which is the maintenance frequency of the kth elevator car. α represents the weight for the maintenance frequency of the elevator car. ZS k represents the total number of parts of the kth elevator car, It represents the ratio of the total number of parts replaced to the total number of parts, that is, the parts replacement ratio. β represents the weight of the replacement ratio of elevator car parts. Both α and β are constants, and α+β=1. It means that the quality score of the k-th elevator car is obtained by combining the maintenance frequency and parts replacement ratio according to the α and β weights.

10. The elevator real-time monitoring method according to claim 1, characterized in that: In step six, when a single elevator car loses an overweight alarm, a weightlessness alarm or a loss of control alarm, based on the fluctuation data group Bdsj, the reserve power is used to preferentially start the elevator components with a low fault risk level. After the elevator operation is restored using the reserve power, the elevator car with a lower quality score Zlpf is maintained preferentially based on the quality score Zlpf.

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