An elevator real-time monitoring method

Abstract

The application relates to the technical field of elevator power supply control, and discloses an elevator real-time monitoring method, which comprises the following steps: step one: obtaining the running data of an elevator car, the working parameters of elevator components and the historical maintenance records at all time points; step two: monitoring the running state of each elevator car, generating a monitoring data group and judging whether the elevator has a fault, and outputting a corresponding alarm signal; step three: setting a fixed-length monitoring period, analyzing the change trend of the working parameters of each elevator component, and generating a corresponding fluctuation data group; step four: setting a flow difference threshold value and a pressure difference threshold value within a fixed range, judging the fault risk level of each elevator component, and outputting a corresponding alarm signal, so that the abnormal fault accuracy is high; step five: analyzing the quality score of each elevator car; and step six: formulating corresponding emergency power supply measures according to the alarm signal, the fluctuation data group and the quality score, so that the emergency power supply control is more timely and effective.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of elevator control, in particular to a real-time monitoring method for elevator. BACKGROUND

[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 power grid of the building, and the supply voltage can be single-phase or three-phase. The power supply line usually includes power line, control line and safety line. The control cabinet is responsible for receiving operation instructions, monitoring the state of the elevator, and commanding the start, stop, running direction and speed of the elevator. The type of motor includes AC motor and DC motor, which is responsible for providing power for the elevator, converting electrical energy into mechanical energy, and driving the elevator car to move up and down. The frequency converter adjusts the output frequency and voltage according to the load and running state 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 various electrical safety devices, such as overload protection, short circuit protection, emergency stop switch, door lock circuit, etc., to ensure passenger safety. The lighting signal system inside the elevator also needs power supply, including floor indicator light, running direction indicator light and emergency lighting. In order to ensure passenger safety in the event of a power outage, some elevators will be equipped with a reserve power supply system, such as an uninterruptible power supply or a generator. The cable wiring system of the elevator is responsible for transmitting power from the control cabinet to the motor and other electrical equipment.

[0003] At present, the traditional elevator emergency power supply control method lacks in-depth analysis capability, and it is difficult to quickly identify the cause of abnormal operation of the elevator. In the face of power failure, falling elevator and other emergency situations, it is difficult to develop effective emergency power supply measures intelligently, thereby ensuring the safety and stability of the elevator operation, and bringing great safety hazards to passengers. SUMMARY

[0004] In view of the defects of the prior art, the present application provides a real-time monitoring method for elevator, which has the advantages of comprehensive analysis of abnormal faults, high precision, timely and effective emergency power supply control, etc., and solves the problems of traditional elevator emergency power supply control method that is difficult to quickly identify abnormal operation and poor timeliness and effectiveness of emergency control.

[0005] To achieve the above purpose, the present application provides the following technical scheme: a real-time monitoring method for elevator, comprising the following steps:

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

[0007] Step two: set the fixed range of load threshold ZY and speed threshold SY, combined with the running data set, monitor the running state of each elevator car, generate the corresponding monitoring data set Jksj, and judge whether the elevator has a fault, output the corresponding alarm signal;

[0008] Step three: set the fixed length of the monitoring period Q, combined with the power supply data set, analyze the trend of the working parameters of each elevator component, generate the corresponding fluctuation data set Bdsj;

[0009] Step four: set the fixed range of flow difference threshold ICY and pressure difference threshold UCY, combined with the fluctuation data set Bdsj, judge the fault risk level of each elevator component, output the corresponding alarm signal;

[0010] Step five: according to the historical data set, analyze the quality score Zlpf of each elevator car;

[0011] Step six: according to the alarm signal, fluctuation data set Bdsj and quality score Zlpf, formulate the corresponding emergency power supply measures.

[0012] Preferably, in step one, the expression of the running data set is {Y1 d , Y2 d , Y3 d ,..., Yn d}, Y1 d to Yn d are the running data of the first to the nth elevator car, the running data includes load, running speed and running direction, and d represents the time point of obtaining the running data of a single elevator car.

[0013] Preferably, in step one, the expression of the power supply data set is {DY s , KZ s , DJ s , BP s , AQ s , CB s}, DY s represents the working parameter of the power supply, KZ s represents the working parameter of the control cabinet, DJ s represents the working parameter of the motor, BP s represents the working parameter of the frequency converter, AQ s represents the working parameter of the safety device, and CB s represents the working parameter of the reserve power supply.

[0014] Preferably, in step one, the expression of the historical data set is {L1 b , L2 b , L3 b ,..., Lmb}, L1 b to Lm b respectively represent the first to the mth historical maintenance record, the historical maintenance record includes the failure cause and the spare parts replacement list, b represents the corresponding elevator car number of the historical maintenance record.

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

[0016] Extract the running data of the i th elevator car in the running 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 , and mark the running direction of the i th elevator car as YX i ;

[0017]

[0018] In the formula, Jksj represents the monitoring data set, minZY and maxZY respectively represent the minimum and maximum values of the load threshold ZY, minZY≤ZA i ≤maxZY represents the comparison of the load of the i th elevator car with the load threshold, maxSY and maxSY respectively represent the minimum and maximum values of the speed threshold SY, maxSY≤YS i ≤maxSY represents the comparison of the running speed of the i th elevator car with the speed threshold, ZL represents the running instruction received by the i th elevator car at the current time point, ZL∩YX i represents the intersection part of the instruction direction and the running direction of the i th elevator car.

[0019] Preferably, in the step two, when the load of the elevator car in the monitoring data set 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 set Jksj is lower than the load threshold minZY, it indicates that the elevator is in a weight loss state, and a corresponding weight loss alarm is generated; when the running speed of the elevator car in the monitoring data set Jksj is not within the speed threshold SY or the instruction 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 the step three, the calculation process of the fluctuation data set Bdsj is as follows:

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

[0022]

[0023]

[0024]

[0025] In the formula, Bdsj represents the fluctuation data group, represents the average current value of the power supply during the monitoring period Q represents the average voltage value of the power supply during the monitoring period Q maxI DY and minI DY are the maximum current value and the minimum current value of the power supply during the monitoring period Q, respectively, maxI DY -minI DY represents the range of the current value of the power supply, Ie DY represents the current value of the power supply at the e-th time point, represents the variance value obtained according to the variance formula, which is the fluctuation index of the current value of the power supply, maxU DY and minU DY are the maximum voltage value and the minimum voltage value of the power supply during the monitoring period Q, respectively, maxU DY -minU DY represents the range of the voltage value of the power supply, Uf DY represents the voltage value of the power supply at the f-th time point, represents the variance value obtained according to the variance formula, which is the fluctuation index of the voltage value of the power supply.

[0026] Preferably, in the fourth step, 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.

[0027] Preferably, in the fifth step, the quality score Zlpf is calculated as follows:

[0028] According to the historical data set, the historical maintenance records of all time points of the kth elevator car are counted, and the total number of historical maintenance of the kth elevator car is marked as CS k The total number of part replacement of the kth elevator car is marked 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 divided by the total running time, that is, the maintenance frequency of the kth elevator car, α represents the weight of the elevator car maintenance frequency, ZS k represents the total number of parts of the kth elevator car, represents the ratio of the total number of part replacement to the total number of parts, that is, the part replacement ratio, β represents the weight of the elevator car part replacement ratio, α and β are constants, and α+β=1, represents the quality score of the kth elevator car obtained by comprehensively considering the maintenance frequency and the part replacement ratio according to the weights of α and β.

[0031] Preferably, in step six, when the single elevator car loss is overweight alarm, weight loss alarm or out-of-control alarm, according to the fluctuation data set Bdsj, the elevator components with low failure risk level are started preferentially using the reserve power, and after the elevator operation is restored using the reserve power, the elevator car with lower quality score Zlpf is maintained preferentially according to the quality score Zlpf.

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

[0033] 1、The present application connects the central control console, the sensing device and the database through the network, obtains the running data of all elevator cars, the working parameters of all elevator components and the historical maintenance records at all time points, classifies and forms the running data set, the power supply data set and the historical data set, sets the fixed range of the load threshold ZY and the speed threshold SY, monitors the running state of each elevator car, generates the corresponding monitoring data set Jksj, judges whether the elevator is faulty, and outputs the corresponding alarm signal if it is faulty, sets the fixed monitoring period Q, analyzes the change trend of the working parameters of each elevator component, generates the corresponding fluctuation data set Bdsj, and the instability of different elevator component working parameters will lead to elevator out-of-control power failure, when the fluctuation index of the current value in the fluctuation data set Bdsj exceeds the flow difference threshold ICY or the fluctuation index of the voltage value exceeds the pressure difference threshold UCY, it indicates that the failure risk level of the elevator component is high, the corresponding component alarm is generated, and the abnormal fault is analyzed comprehensively with high precision.

[0034] 2、The application analyzes the quality score Zlpf of each elevator car through the historical data set, and formulates corresponding emergency power supply measures according to the alarm signal, the fluctuation data set Bdsj and the quality score Zlpf, when a single elevator car is lost, the overweight alarm, the weightlessness alarm or the out-of-control alarm, according to the fluctuation data set Bdsj, the elevator components with low fault risk level are started preferentially using the reserve power, after the elevator operation is restored using the reserve power, the elevator cars with low quality score Zlpf are maintained preferentially according to the quality score Zlpf, and the emergency power supply control is more timely and effective. BRIEF DESCRIPTION OF DRAWINGS

[0035] Figure 1 The method steps of the application. DETAILED DESCRIPTION

[0036] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative work belong to the protection scope of the application.

[0037] Since the conventional elevator emergency power supply control method lacks in-depth analysis capability, it is difficult to quickly identify the causes of elevator operation abnormalities, and when facing power failure, falling elevator and other emergency situations, it is impossible to intelligently formulate effective emergency power supply measures, thereby it is difficult to ensure the safety and stability of elevator operation, which brings great safety hazards to passengers, therefore, an elevator real-time monitoring method is provided, please refer to Figure 1 The method comprises the following steps:

[0038] Step one: connect the central control console, the sensing device and the database through the network, obtain the running data of all elevator cars, the working parameters of all elevator components and the historical maintenance records at all time points, and classify and form running 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 are the running data of the first to the n-th elevator cars, the running data includes the load, the running speed and the running direction, d represents the time point of obtaining the running data of a single elevator car, and the running data of each elevator car is monitored in real time, which is helpful for subsequent quick identification of abnormal operation causes;

[0040] The expression of the power supply data set is {DY s, KZ s , DJ s , BP s , AQ s , CB s , DY s represents the working parameters of the power supply, including current value and voltage value, KZ s represents the working parameters of the control cabinet, including current value and voltage value, DJ s represents the working parameters of the motor, including speed and voltage value, BP s represents the working parameters of the frequency converter, including frequency and voltage value, AQ s represents the working parameters of the safety device, including current value and voltage value, CB s represents 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 are the first to the mth historical maintenance records, respectively, the historical maintenance record includes the fault reason and the replacement list of parts, b represents the elevator car number corresponding to the historical maintenance record, and comprehensive collection of historical maintenance records of each elevator car helps to resume the maintenance work after power supply;

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

[0043] Extract the running data of the ith elevator car in the running data set, and mark the load of the ith elevator car as ZA i , mark the running speed of the ith elevator car as YS i , and mark the running direction of the ith 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 represents the comparison of the load of the ith 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 represents the running speed of the i-th elevator car compared with the speed threshold value, ZL represents the running instruction received by the i-th elevator car at the current time point, ZL∩YX i represents the intersection part of the instruction direction and the running direction of the i-th elevator car, and the intersection part is an empty set, which means that the instruction direction is inconsistent with the running direction of the elevator car;

[0046] According to the monitoring data set Jksj, it is judged whether the elevator is in failure. When the load of the elevator car in the monitoring data set Jksj exceeds the load threshold value maxZY, it means that the elevator is in an overweight state, and a corresponding overweight alarm is generated. The load abnormality may trigger the safety protection mechanism of the elevator, causing the elevator to stop running. When the load of the elevator car in the monitoring data set Jksj is less than the load threshold value minZY, it means that the elevator is in a weight loss state, and a corresponding weight loss alarm is generated. Weight loss does not directly mean that the elevator is abnormal, and further judgment needs to be made in combination with the running speed. When the running speed of the elevator car in the monitoring data set Jksj is not within the speed threshold value SY range (i.e., the running speed of the elevator car is greater than maxSY or the running speed of the elevator is less than minSY) or the instruction direction is inconsistent with the running direction of the elevator car, it means that the elevator is in an out-of-control state, 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 three: set a fixed monitoring period Q, and analyze the change trend of the working parameters of each elevator component in combination with the power supply data set to generate a corresponding fluctuation data set Bdsj, and 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 at the first time point to the a-th 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 at the first time point to the b-th time point;

[0049]

[0050]

[0051] In the formula, Bdsj represents the fluctuation data set, represents the average current value of the power supply during the monitoring period Q represents the average voltage value of the power supply during the monitoring period Q maxI DY and minI DY are the maximum current value and the minimum current value of the power supply during the monitoring period Q, maxI DY -minI DY represents the range of the current value of the power supply, Ie DY represents the current value of the power supply at the e-th time point, represents the variance value obtained according to the variance formula, which is the fluctuation index of the current value of the power supply, maxU DY and minU DY are the maximum voltage value and the minimum voltage value of the power supply during the monitoring period Q, maxU DY -minU DY represents the range of the voltage value of the power supply, Uf DY represents the voltage value of the power supply at the f-th time point, represents the variance value obtained according to the variance formula, which is the fluctuation index of the voltage value of the power supply, the instability of different elevator component working parameters will lead to the loss of control and power failure of the elevator, the fluctuation data set Bdsj of different elevator components is calculated according to the above formula to calculate 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 frequency converter 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 four: set the flow difference threshold ICY and the pressure difference threshold UCY with fixed range, and combine the fluctuation data set Bdsj to judge the fault risk level of each elevator component, when the fluctuation index of the current value in the fluctuation data set Bdsj exceeds the flow difference threshold ICY or the fluctuation index of the voltage value exceeds the pressure difference threshold UCY, it indicates that the fault risk level of the elevator component is high, and the corresponding component alarm is generated, and the comprehensive analysis of abnormal failure has high precision;

[0053] Step five: according to the historical data set, analyze the quality score Zlpf of each elevator car, and the calculation process is as follows:

[0054] According to the historical data set, the historical maintenance records of all time points of the k-th elevator car are counted, and the total number of historical maintenance of the k-th elevator car is marked as CS k , and the total number of part replacement of the k-th elevator car is marked 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 running time, that is, the maintenance frequency of the kth elevator car, α represents the weight of the elevator car maintenance frequency, ZS k represents the total number of parts of the kth elevator car, represents the ratio of the total number of part replacements to the total number of parts, that is, the part replacement ratio, β represents the weight of the elevator car part replacement ratio, α and β are both constants, and α+β=1, represents the quality score of the kth elevator car obtained by combining the maintenance frequency and the part replacement ratio according to the weights α and β;

[0057] Step six: According to the alarm signal, the fluctuation data set Bdsj and the quality score Zlpf, formulate the corresponding emergency power supply measures. When a single elevator car is lost, according to the fluctuation data set Bdsj, use the reserve power to start the elevator components with low failure risk level first, and after the elevator operation is restored, according to the quality score Zlpf, the elevator cars with lower quality score Zlpf are maintained first, and the 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 detection, the current time point of the elevator is 900 kg, the running speed is 2.5 m / s, the running direction is upward, 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 upward. The monitoring data set Jksj of the elevator is calculated as follows:

[0059]

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

[0061] Example 2: In this experiment, a cargo elevator with a rated power of 7.5 kW is selected as the experimental object. After detection, the current time point of the elevator is 900 kg, the running speed is 2.5 m / s, the running direction is upward, 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 upward. The fluctuation data set BNdsj of the elevator is calculated as follows:

[0062]

[0063]

[0064]

[0065] In the formula, BNdsj represents the fluctuation data group, 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, and the variance value 0.2056 obtained according to the variance formula is the fluctuation index of the power supply current value, 11U represents the range of the power supply voltage value, and the variance value 18.16 obtained according to the variance formula is the fluctuation index of the power supply voltage value, the fluctuation index is recorded, in the case of the super heavy alarm, the weight loss alarm and the out of control alarm when the single elevator car is lost, according to the fluctuation data group Bdsj, the elevator components with low failure risk level are preferentially started using the reserve power, and after the elevator operation is restored using the reserve power, the elevator cars with low quality score Zlpf are preferentially maintained according to the quality score Zlpf.

[0066] Although the embodiments of the present application have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and alterations can be made thereto without departing from the principles and spirit of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. A method for real-time monitoring of an elevator, characterized by The method comprises the following steps: Step 1: connecting the central control console, the sensing device and the database through a network, obtaining the running data of all elevator cars, the working parameters of all elevator components and the historical maintenance records at all time points, and classifying and forming a running data set, a power supply data set and a historical data set; Step two: set the load threshold with fixed range and speed threshold , combined with the operation data set, monitor the operation state of each elevator car, generate the corresponding monitoring data set , and determine whether the elevator has a fault, output the corresponding alarm signal; Step three: set a fixed monitoring period In combination with the power supply data set, the change trend of each elevator component working parameter is analyzed to generate a corresponding fluctuation data set In step three, the fluctuation data set The calculation process is as follows: According to the power supply dataset, the monitoring period is marked as , the current value of the power supply source from the first time point to the time point, the monitoring period is marked as , the voltage value of the power supply source from the first time point to the time point. In the formula, represents the fluctuation data set, represents the monitoring period , the average current value of the power supply during the monitoring period represents the monitoring period , the average voltage value of the power supply during the monitoring period , respectively represent the maximum current value and the minimum current value of the power supply during the monitoring period , represents the range of the current value of the power supply, represents the current value of the power supply at the th time point, represents the variance value obtained according to the variance formula, which is the fluctuation index of the current value of the power supply, respectively represent the maximum voltage value and the minimum voltage value of the power supply during the monitoring period , represents the range of the voltage value of the power supply, represents the voltage value of the power supply at the represents the variance value obtained according to the variance formula, which is the fluctuation index of the voltage value of the power supply​ Step four: set the flow difference threshold value with fixed range and pressure difference threshold value , combined with fluctuation data set , determine the failure risk level of each elevator component, and output the corresponding alarm signal; Step five: Analyze the quality score of each elevator car based on the historical data set ; Step six: According to the alarm signal, fluctuation data set and quality score , formulate the corresponding emergency power supply measures.

2. The method of claim 1, wherein: The expression of the operation data set in the step one , are the operation data of the first to the th elevator cars, respectively, the operation data including the load, the operation speed and the operation direction, denotes the time point at which the operation data of the individual elevator car is acquired.

3. The method of claim 1, wherein: The expression of the power supply data set in step one , represents the operating parameters of the power supply, represents the operating parameters of the control cabinet, represents the operating parameters of the motor, represents the operating parameters of the frequency converter, represents the operating parameters of the safety device, represents the operating parameters of the reserve power supply.

4. The method of claim 1, wherein: The expression of the historical data set in the step one is , respectively the first to the historical maintenance records, the historical maintenance records including the failure causes and the parts replacement lists, represents the elevator car number corresponding to the historical maintenance record.

5. The method of claim 1, wherein: In step two, the monitoring data set The calculation proceeds as follows: Extract the first from the running dataset The operating data of the elevator car, and the data of the first elevator car. The load capacity marking of each elevator car is as follows: , will the The operating speed of each elevator car is marked as , will the The direction of travel for each elevator car is marked as follows: ; in the formula, denotes a monitoring data set, are minimum and maximum values of a load threshold, are minimum and maximum values of a speed threshold, denotes a comparison of the load of the th elevator car to the load threshold, are minimum and maximum values of a speed threshold, are minimum and maximum values of a speed threshold, denotes a comparison of the operating speed of the th elevator car to the speed threshold, denotes an operating instruction received by the th elevator car at the current point in time, denotes the intersection of the instruction direction and the direction of travel of the th elevator car.

6. The method of claim 5, wherein: In step two, the monitoring data group The load on the elevator car exceeds the load threshold. When this occurs, it indicates that the elevator is in an overloaded state, generating a corresponding overload alarm and monitoring the data group. The load on the elevator car is below the load threshold. When this occurs, it indicates that the elevator is in a state of weightlessness, generating a corresponding weightlessness alarm and monitoring the data group. The elevator car's operating speed is not below the speed threshold. When the elevator is out of control or the direction of the instruction is inconsistent with the direction of the elevator car's movement, it indicates that the elevator is out of control and a corresponding out-of-control alarm will be generated.

7. The method of claim 1, wherein: In step four, the fluctuation data set When the fluctuation index of the current value exceeds the flow difference threshold value Or the fluctuation index of the voltage value exceeds the voltage difference threshold value Indicates that the risk level of the elevator component failure is high, and the corresponding component alarm is generated.

8. The method of claim 1, wherein: In step five, the quality score The calculation flow is as follows: According to the historical data set, the historical maintenance records of all time points of the first elevator car are counted, and the total number of historical maintenance of the first elevator car is marked as The total number of part replacement of the first elevator car is marked as In the formula, represents the quality score, represents the total running time of the th elevator car, represents the total number of historical maintenance divided by the total running time, i.e. the maintenance frequency of the th elevator car, represents the weight for the maintenance frequency of the elevator car, represents the total number of parts of the th elevator car, represents the ratio of the total number of part replacements to the total number of parts, i.e. the part replacement ratio, represents the weight for the part replacement ratio of the elevator car, and are constants, and , indicates the number of elevator cars and The weight, the maintenance frequency and the replacement ratio of parts are integrated to obtain the quality score of the elevator car.

9. The method of claim 1, wherein: In the step six, when the single elevator car loss is the overweight alarm, the weightlessness alarm or the out-of-control alarm, according to the fluctuation data group , the elevator assembly with low failure risk level is started preferentially using the reserve power, after the elevator operation is restored using the reserve power, the quality score is calculated again, and the elevator car with lower quality score is maintained preferentially.

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