Construction elevator regenerative electric energy self-adaptive feedback energy-saving system and method based on bus voltage time sequence feature working condition identification

Abstract

The application provides a construction elevator regenerative electric energy self-adaptive feedback energy-saving system and method based on bus voltage time sequence feature working condition recognition, and belongs to the technical field of building construction energy saving. The system comprises a construction elevator without counterweight, a working condition intelligent recognition module, an energy feedback system, a construction site 380V power frequency power grid and a multiplex terminal. The construction elevator is the main body of energy recovery, the working condition intelligent recognition module collects the instantaneous value of the frequency converter direct current bus voltage of the construction elevator, the duration of the bus voltage being continuously higher than the reference threshold value, calculates the voltage change rate, identifies three working conditions of heavy load descent, no-load ascent and braking based on a weighted multi-parameter discrimination algorithm, and dynamically matches the start-stop voltage threshold value of the corresponding energy feedback system according to the working condition recognition result. The application solves the tedious problem of traditional manual measurement of threshold value, realizes dynamic threshold value matching maximum feedback efficiency, realizes efficient recovery of energy, does not modify the original system, has an extremely simple structure, has high intelligence, and is safe and reliable in operation.

Description

Technical Field

[0001] This invention belongs to the field of building construction energy conservation technology, and in particular relates to an adaptive feedback energy conservation system and method for construction elevators based on bus voltage time sequence characteristic condition identification. Background Technology

[0002] Construction elevators are core vertical transportation equipment on construction sites. Their biggest difference from residential elevators is the lack of a counterweight balancing structure. Therefore, during heavy-load descents, unloaded ascents, and braking, they generate significantly more regenerative electrical energy than residential elevators. Traditional solutions involve heat dissipation through braking resistors, resulting in severe energy waste, high-temperature aging of the equipment, high maintenance costs, and significant safety hazards.

[0003] Currently, there are no applications of energy feedback systems in construction elevators. Furthermore, existing energy feedback technologies are mostly used as standalone devices, and their start-stop voltage thresholds rely on manual on-site measurement and calibration, which has the following technical drawbacks:

[0004] (1) Manual measurement is cumbersome: It requires professional personnel to measure the bus voltage fluctuation range multiple times under different loads and working conditions of the elevator. The operation is complicated, time-consuming, and requires high professional skills from on-site personnel.

[0005] (2) Fixed threshold cannot match multiple working conditions: Under the three working conditions of heavy load descent, no load ascent and braking, the voltage amplitude, rate of change and duration of regenerated power of construction elevators are significantly different. Using a single fixed threshold cannot achieve the best feedback effect under each working condition.

[0006] (3) Limited feedback efficiency: Fixed thresholds are often set conservatively, which cannot fully capture instantaneous peak energy, resulting in some regenerated electrical energy still being dissipated by the braking resistor.

[0007] To address the aforementioned issues, this invention presents an adaptive feedback energy-saving system for regenerated electrical energy in construction elevators, based on bus voltage time-series characteristic operating condition identification. The key technological breakthroughs are intelligent identification of operating conditions and dynamic threshold switching based on bus voltage time-series characteristics, enabling optimal capture and on-site reuse of regenerated electrical energy. Summary of the Invention

[0008] To address the shortcomings of existing technologies, this invention provides an adaptive energy-saving system and method for regenerated energy feedback in construction elevators based on bus voltage timing characteristics and operating condition identification. The system uses an intelligent operating condition identification module to collect real-time data on the instantaneous value, voltage change rate, and duration of the inverter's DC bus voltage. Based on a weighted multi-parameter discrimination algorithm, it accurately identifies the operating conditions of the construction elevator and dynamically switches the start and stop voltage thresholds of the energy feedback system according to the identification results. This achieves optimal capture of regenerated energy under various operating conditions. After internal processing by the energy feedback system to meet national standards, the energy is directly fed back to the construction site's power grid for reuse. This completely solves the technical problems of cumbersome manual threshold measurement and the inability of fixed thresholds to match multiple operating conditions, maximizing energy feedback efficiency. Furthermore, it does not require modification of the original elevator control system, making installation convenient, safe, and reliable.

[0009] The present invention achieves the above-mentioned technical objectives through the following technical means.

[0010] An adaptive feedback energy-saving method for regenerated electrical energy in construction elevators based on bus voltage time-series characteristic operating condition identification includes the following process:

[0011] Step 1: Connect the intelligent working condition identification module and the energy acquisition interface in parallel across the braking resistor, and connect the DC input terminal to the two ends of the energy storage capacitor of the construction elevator frequency converter; install the energy feedback system inside the construction elevator control cabinet;

[0012] Step 2: Initialization of the intelligent working condition recognition module: During the testing of the construction elevator under three working conditions—no-load ascent, heavy-load descent, and braking—bus voltage data is continuously collected to construct a feature parameter library. Simultaneously, based on the collected data, the feature point parameters in the discrimination function are automatically calibrated, including voltage feature points, voltage change rate benchmark values ​​corresponding to the three working conditions, and duration thresholds. Among them, voltage feature points include the lower limit voltage, median voltage, upper limit voltage, and extreme upper limit voltage, and duration thresholds include the lower limit for instantaneous braking judgment and the threshold for continuous working condition judgment.

[0013] Step 3: Setting the operating parameters of the energy feedback system, including: setting the fuzzy PID parameters of the energy feedback system and configuring the dynamic thresholds corresponding to the three operating conditions;

[0014] Step 4: During construction elevator operation, the intelligent working condition identification module collects relevant data in real time and makes working condition judgments. Based on the judgment results and dynamic threshold configuration, the start threshold and stop threshold of the energy feedback system are adjusted so that the energy feedback system can achieve optimal capture of regenerated electrical energy under various working conditions. After internal rectification, inversion, filtering and phase-locked loop integrated processing to meet the requirements, the energy is directly fed back to the 380V power frequency grid of the construction site, and then reused by the multiplexing terminal.

[0015] Step 5: The intelligent operating condition identification module uses the IoT communication module to upload real-time operating condition identification results, threshold switching records, and feedback power data to the cloud, enabling remote monitoring of energy and carbon data, energy-saving benefit analysis, and power consumption optimization suggestions.

[0016] Furthermore, the specific process of step 4 is as follows:

[0017] Step 4.1: The construction elevator is operating normally, and the intelligent operating condition identification module collects the instantaneous value of the DC bus voltage of the construction elevator inverter in real time. and duration Duration refers to the length of time the bus voltage remains above the reference threshold, and the voltage change rate is calculated from this. ;

[0018] Step 4.2: The intelligent working condition recognition module sets the working condition feature vector. Construct a working condition discrimination function :

[0019]

[0020] In the formula, This represents the membership function of the voltage amplitude; Represents the membership function of the rate of change of voltage; Membership function representing duration; , , All represent weighting coefficients;

[0021] Step 4.3: Working condition discrimination output; To avoid circular dependencies between steepness coefficient, weight coefficient and discrimination logic, an iterative discrimination strategy is adopted: First, a preliminary working condition discrimination is performed using general discrimination parameters, and then the specific feature parameters of the corresponding working condition are called for a second discrimination based on the preliminary discrimination result; If the results are inconsistent, the iteration continues until convergence.

[0022] Step 4.4: The intelligent working condition identification module automatically switches the start threshold and stop threshold of the energy feedback system based on the finally identified working condition type.

[0023] Furthermore, the voltage amplitude membership function is as follows:

[0024]

[0025] In the formula, Indicates the lower limit voltage of the reference. Indicates the reference median voltage. Indicates the reference upper limit voltage. This indicates the extreme upper limit voltage.

[0026] Furthermore, the duration membership function is as follows:

[0027]

[0028] In the formula, This indicates the lower limit for instantaneous braking determination. This indicates the threshold for determining continuous operating conditions.

[0029] Furthermore, the membership function of the voltage change rate is as follows:

[0030]

[0031] In the formula, Indicates the steepness coefficient. Voltage change rate reference value.

[0032] Furthermore, the specific process of step 4.3 is as follows:

[0033] Step 4.3.1: Iterative initialization:

[0034] Set a general discrimination parameter: steepness coefficient Weighting coefficients Voltage change rate reference value ;

[0035] Step 4.3.2: Initial Judgment:

[0036] Collect the current operating condition feature vector Based on the general discriminant parameters, calculate value:

[0037]

[0038] Will The value is compared with the preset discrimination interval to obtain the initial judgment condition. :

[0039] Step 4.3.3: Iteration:

[0040] Let the number of loops be Current operating conditions ;

[0041] according to Select the corresponding specific discrimination parameters;

[0042] Recalculate using dedicated discrimination parameters The value is determined, and the corresponding discrimination interval is identified to obtain the new working condition. ;

[0043] like ,but This is the final operating condition; otherwise, let = , Repeat the above iterative process to calculate the new... value.

[0044] Furthermore, the aforementioned The correspondence between the values ​​and the preset discrimination intervals is as follows:

[0045] like The output condition is heavy load descent;

[0046] like The output condition is no-load ascent;

[0047] like The output condition is braking.

[0048] Furthermore, the correspondence between the specific discrimination parameters and the operating conditions is as follows:

[0049] Under heavy load descent conditions: , , , , ;

[0050] Under no-load lifting conditions: , , , , ;

[0051] Under braking conditions: , , , , .

[0052] The present invention has the following beneficial effects:

[0053] It solves the problem of cumbersome traditional manual threshold measurement; the intelligent operating condition identification module automatically collects bus voltage characteristics and identifies the operating condition in real time through a weighted multi-parameter discrimination algorithm, eliminating the need for manual on-site measurement and calibration, and shortening the installation and commissioning time.

[0054] Dynamic threshold matching maximizes feedback efficiency; start-stop thresholds are configured differently for three operating conditions: heavy load descent, no-load ascent, and braking, which improves the regenerative energy capture rate compared to the traditional fixed threshold method.

[0055] The algorithm is scientific and accurate; it adopts a weighted discrimination algorithm that integrates three-dimensional features of voltage amplitude, rate of change and duration, ensuring that the energy feedback system always operates in the optimal state.

[0056] Without modifying the original system, the structure is extremely simple; the intelligent working condition identification module and the energy feedback system are both connected in parallel to the DC bus terminal, without changing the original construction elevator control system, making installation convenient, compatible with mainstream frequency converters, and adaptable to all models of construction elevators.

[0057] With a high degree of intelligence, it facilitates green and digital construction; it integrates an IoT communication module to enable real-time uploading and remote monitoring of operating condition data and energy consumption data, providing precise data support for energy and carbon management and energy-saving optimization at construction sites.

[0058] It is safe and reliable in operation; it is equipped with a dedicated safety redundancy module, which automatically switches to the original braking mode in case of failure, and the power feedback meets national standards, does not disturb the construction site power grid, and ensures the safety of construction elevators and on-site equipment. Attached Figure Description

[0059] Figure 1 This is a flowchart of the adaptive feedback method for regenerated electrical energy in construction elevators according to the present invention; Detailed Implementation

[0060] The present invention will be further described below with reference to the accompanying drawings and specific embodiments, but the scope of protection of the present invention is not limited thereto.

[0061] The construction elevator regenerative energy adaptive feedback energy-saving system based on bus voltage time sequence characteristic working condition identification, as described in this invention, includes a construction elevator without counterweight, a working condition intelligent identification module, an Internet of Things communication module, a cloud platform, an energy feedback system, a 380V power frequency grid at the construction site, and multiplexing terminals (including on-site electrical equipment such as tower cranes, welding machines, water pumps, and lighting at the construction site).

[0062] The construction elevator is the main energy recovery unit. The intelligent operating condition identification module is used to collect the instantaneous value of the DC bus voltage of the construction elevator's frequency converter in real time. The duration during which the bus voltage remains above the reference threshold (hereinafter referred to as duration). Based on a weighted multi-parameter discrimination algorithm, three working conditions are identified: heavy load descent, no-load ascent, and braking. The corresponding start-stop voltage threshold of the energy feedback system is dynamically matched according to the working condition identification results to achieve efficient energy recovery.

[0063] The energy feedback system is used to collect the regenerated electrical energy generated by the construction elevator. After internal rectification, inversion, filtering and phase-locking processing to meet the national standard power quality requirements, it is directly fed back to the 380V power frequency grid at the construction site. It is then used by the reuse terminal to save energy.

[0064] This embodiment uses the SC200 / 200 type double-cage construction elevator as an example to illustrate the solution. The SC200 / 200 type double-cage construction elevator adopts a gear and rack forced meshing drive, without a fixed counterweight, the inverter model is ABB ACS880, the DC bus rated voltage is 600V, and the braking resistor power is 15kW. (Refer to...) Figure 1 As shown, the adaptive feedback method for regenerative energy of construction elevators based on the bus voltage time-series characteristic working condition identification includes the following process:

[0065] Step 1: System adaptation and installation;

[0066] The working condition intelligent identification module and the energy collection interface of the energy feedback system are connected in parallel to the two ends of the braking resistor, and the DC input terminal is connected to the two ends of the inverter energy storage capacitor. The energy feedback system is installed in the construction elevator control cabinet through an adjustable bracket and rubber buffer pad, with a maximum feedback power of 30kW, and a dedicated protective shell made of rust-proof aluminum alloy is added (designed with rainproof guide groove and snap-on dust filter).

[0067] Step 2: Initialize the intelligent working condition recognition module;

[0068] After the system is powered on, the intelligent operating condition recognition module enters adaptive learning mode; during elevator no-load operation, heavy-load operation, and braking tests, it continuously collects bus voltage data and constructs a feature parameter library; based on the collected data, it automatically calibrates the feature point parameters in the discriminant function.

[0069] Voltage characteristic points: , , , ;

[0070] Voltage change rate benchmark: under heavy load descent conditions Under no-load lifting conditions Under braking conditions ;

[0071] Duration threshold: , ;

[0072] in, Indicates the lower limit voltage of the reference. Indicates the reference median voltage. Indicates the reference upper limit voltage. Indicates the extreme upper limit voltage; This represents the reference value for the rate of voltage change, and different reference values ​​exist for different operating conditions. This indicates the lower limit for instantaneous braking determination. This indicates the threshold for determining continuous operating conditions.

[0073] Step 3: Setting runtime parameters;

[0074] Fuzzy PID parameters for energy feedback system: , , In this embodiment, it is preferred to set , , .

[0075] Dynamic threshold configuration:

[0076] Heavy load descent condition: Regenerative power intensity is high and duration is long, so a higher threshold is used to prioritize the protection of feedback efficiency and the start-up threshold is set. Stop threshold In this embodiment, the preferred starting threshold is 630V and the stopping threshold is 520V.

[0077] No-load rise condition: The regenerative power intensity is moderate, and the median threshold is adopted to balance feedback and system stability. Start-up threshold Stop threshold In this embodiment, the preferred starting threshold is 605V and the stopping threshold is 495V.

[0078] Braking condition: Regenerative electrical energy is a momentary peak; a lower threshold is used to achieve rapid energy capture. (Start-up threshold) Stop threshold In this embodiment, the preferred starting threshold is 585V and the stopping threshold is 475V.

[0079] Step 4: During construction elevator operation, the intelligent working condition identification module collects relevant data in real time and makes working condition judgments. Based on the judgment results, it dynamically adjusts the start and stop thresholds of the energy feedback system, enabling the energy feedback system to achieve optimal capture of regenerated electrical energy under various working conditions. After internal rectification, inversion, filtering, and phase-locked loop integrated processing to meet national standards, the processed electrical energy is directly fed back to the construction site's 380V power grid (the processed electrical energy must meet the following requirements: voltage deviation ≤ ±5%; frequency deviation ≤ ±0.5Hz; harmonic distortion rate THDI < 5%), and is subsequently reused by the multiplexing terminal.

[0080] The specific process by which the intelligent working condition recognition module collects relevant data in real time and makes working condition judgments is as follows:

[0081] Step 4.1: The construction elevator is operating normally on site. The intelligent operating condition identification module collects the instantaneous value of the DC bus voltage of the construction elevator inverter in real time with a sampling period of 10ms. (i.e., the current bus voltage at the sampling point) and duration The voltage change rate is obtained through differential calculation. , , Indicates the sampling interval. , These represent the voltage value at the current moment and the voltage value at the previous sampling moment, respectively.

[0082] Step 4.2: The intelligent working condition recognition module sets the working condition feature vector. , Construct a working condition discrimination function :

[0083]

[0084] In the formula, This represents the membership function of the voltage amplitude; Represents the membership function of the rate of change of voltage; Membership function representing duration; , , All represent weight coefficients, and satisfy the following conditions: ;

[0085] in:

[0086] Voltage amplitude membership function as follows:

[0087]

[0088] Membership function of voltage change rate as follows:

[0089]

[0090] In the formula, This represents the steepness coefficient, used to control the slope of the membership function of the voltage change rate.

[0091] Duration membership function as follows:

[0092]

[0093] Step 4.3: Output the operating condition judgment;

[0094] In this embodiment, to avoid circular dependencies between the steepness coefficient, weight coefficient, and discrimination logic, the present invention adopts an iterative discrimination strategy: first, a preliminary working condition identification is performed using general discrimination parameters; then, based on the preliminary judgment result, the specific feature parameters of the corresponding working condition are called for a secondary discrimination; if the results are inconsistent, the iteration continues until convergence; specifically as follows:

[0095] Step 4.3.1: Iterative initialization:

[0096] Set a general discrimination parameter: steepness coefficient Weighting coefficients The voltage change rate benchmark value is ;

[0097] Step 4.3.2: Initial Judgment:

[0098] Collect the current operating condition feature vector ,calculate value:

[0099]

[0100] Will The value is compared with the preset discrimination interval to obtain the initial judgment condition. :

[0101] like The output condition is heavy load descent;

[0102] like The output condition is no-load ascent;

[0103] like The output condition is braking;

[0104] Step 4.3.3: Iteration:

[0105] Let the number of loops be Current operating conditions ;

[0106] according to Select the corresponding specific discrimination parameter: Heavy load descent condition: , , , , Unloaded lifting condition: , , , , Braking conditions: , , , , ;

[0107] Recalculate using dedicated discrimination parameters The value is determined, and the corresponding discrimination interval is identified to obtain the new working condition. ;

[0108] like ,but This is the final operating condition; otherwise, let = , Repeat the above iterative process to calculate the new... value.

[0109] Step 4.4: The intelligent working condition identification module automatically switches the start threshold and stop threshold of the energy feedback system according to the identified final working condition type (the threshold switching response time is ≤50ms to ensure that the parameter update is completed instantly when the working condition changes).

[0110] Step 5: Data monitoring;

[0111] The intelligent operating condition identification module uses the Internet of Things (IoT) communication module to upload real-time operating condition identification results, threshold switching records, and feedback power consumption data to the cloud. The cloud platform enables remote monitoring of energy and carbon data, energy-saving benefit analysis, and power consumption optimization suggestions, providing data support for green construction management on construction sites.

[0112] In addition, this invention also incorporates security redundancy and protection mechanisms:

[0113] The system is equipped with a dedicated safety redundancy module with the following protection functions: (1) braking torque ≥ 120% of the rated value, braking response time ≤ 100ms; (2) islanding protection response time ≤ 0.15s; (3) power grid anomaly detection and automatic disconnection; (4) braking failure monitoring and fault alarm. When any anomaly is detected, the safety redundancy module immediately disconnects the feedback loop, and the system automatically reverts to the original braking resistor dissipation mode to ensure the safe operation of the construction elevator.

[0114] The embodiments described above are preferred embodiments of the present invention, but the present invention is not limited to the above embodiments. Any obvious improvements, substitutions or modifications that can be made by those skilled in the art without departing from the essence of the present invention shall fall within the protection scope of the present invention.

Claims

1. A method for adaptive feedback energy saving of regenerated electrical energy in construction elevators based on bus voltage time-series characteristic operating condition identification, characterized in that, The process includes the following: Step 1: Connect the intelligent working condition identification module and the energy acquisition interface in parallel across the braking resistor, and connect the DC input terminal to the two ends of the energy storage capacitor of the construction elevator frequency converter; install the energy feedback system inside the construction elevator control cabinet; Step 2: Initialization of the intelligent working condition recognition module: During the testing of the construction elevator under three working conditions—no-load ascent, heavy-load descent, and braking—bus voltage data is continuously collected to construct a feature parameter library. Simultaneously, based on the collected data, the feature point parameters in the discrimination function are automatically calibrated, including voltage feature points, voltage change rate benchmark values ​​corresponding to the three working conditions, and duration thresholds. Among them, voltage feature points include the lower limit voltage, median voltage, upper limit voltage, and extreme upper limit voltage, and duration thresholds include the lower limit for instantaneous braking judgment and the threshold for continuous working condition judgment. Step 3: Setting the operating parameters of the energy feedback system, including: setting the fuzzy PID parameters of the energy feedback system and configuring the dynamic thresholds corresponding to the three operating conditions; Step 4: During construction elevator operation, the intelligent working condition identification module collects relevant data in real time and makes working condition judgments. Based on the judgment results and dynamic threshold configuration, the start threshold and stop threshold of the energy feedback system are adjusted so that the energy feedback system can achieve optimal capture of regenerated electrical energy under various working conditions. After internal rectification, inversion, filtering and phase-locked loop integrated processing to meet the requirements, the energy is directly fed back to the 380V power frequency grid of the construction site, and then reused by the multiplexing terminal. Step 5: The intelligent operating condition identification module uses the IoT communication module to upload real-time operating condition identification results, threshold switching records, and feedback power data to the cloud, enabling remote monitoring of energy and carbon data, energy-saving benefit analysis, and power consumption optimization suggestions.

2. The adaptive feedback energy-saving method for regenerated electrical energy of construction elevators based on bus voltage time-series characteristic working condition identification as described in claim 1, characterized in that, The specific process of step 4 is as follows: Step 4.1: The construction elevator is operating normally. The intelligent operating condition identification module collects the instantaneous value of the DC bus voltage of the construction elevator inverter in real time. and duration Duration refers to the length of time the bus voltage remains above the reference threshold, and the voltage change rate is calculated from this. ; Step 4.2: The intelligent working condition recognition module sets the working condition feature vector. Construct a working condition discrimination function : In the formula, This represents the membership function of the voltage amplitude; This represents the membership function for the rate of change of voltage; Membership function representing duration; , , All represent weighting coefficients; Step 4.3: Output the operating condition judgment; To avoid circular dependencies between steepness coefficient, weight coefficient and discrimination logic, an iterative discrimination strategy is adopted: first, general discrimination parameters are used for preliminary working condition discrimination, and then the specific feature parameters of the corresponding working condition are called for secondary discrimination based on the preliminary judgment results; If the results are inconsistent, continue iterating until convergence; Step 4.4: The intelligent working condition identification module automatically switches the start threshold and stop threshold of the energy feedback system based on the finally identified working condition type.

3. The adaptive feedback energy-saving method for regenerated electrical energy of construction elevators based on bus voltage time-series characteristic working condition identification as described in claim 2, is characterized in that... The voltage amplitude membership function is as follows: In the formula, Indicates the lower limit voltage of the reference. Indicates the reference median voltage. Indicates the reference upper limit voltage. This indicates the extreme upper limit voltage.

4. The adaptive feedback energy-saving method for regenerated electrical energy of construction elevators based on bus voltage time-series characteristic working condition identification according to claim 2, characterized in that, The duration membership function is as follows: In the formula, This indicates the lower limit for instantaneous braking determination. This indicates the threshold for determining continuous operating conditions.

5. The adaptive feedback energy-saving method for regenerated electrical energy of construction elevators based on bus voltage time-series characteristic working condition identification according to claim 2, characterized in that, The voltage change rate membership function is as follows: In the formula, Indicates the steepness coefficient. Voltage change rate reference value.

6. The adaptive feedback energy-saving method for regenerated electrical energy of construction elevators based on bus voltage time-series characteristic working condition identification according to claim 5, characterized in that, The specific process of step 4.3 is as follows: Step 4.3.1: Iterative initialization: Set a general discrimination parameter: steepness coefficient Weighting coefficients Voltage change rate reference value ; Step 4.3.2: Initial Judgment: Collect the current operating condition feature vector Based on the general discriminant parameters, calculate value: Will The value is compared with the preset discrimination interval to obtain the initial judgment condition. : Step 4.3.3: Iteration: Let the number of loops be Current operating conditions ; Select the corresponding specific discrimination parameters based on the current working conditions. , , , , ; Recalculate using dedicated discrimination parameters The value is determined, and the corresponding discrimination interval is identified to obtain the new working condition. ; like ,but This is the final operating condition; otherwise, let = , Repeat the above iterative process to calculate the new... value.

7. The adaptive feedback energy-saving method for regenerated electrical energy of construction elevators based on bus voltage time-series characteristic working condition identification according to claim 6, characterized in that, The The relationship between the value and the preset discrimination interval is as follows: like The output condition is heavy load descent; like The output condition is no-load ascent; like The output condition is braking.

8. The adaptive feedback energy-saving method for regenerated electrical energy of construction elevators based on bus voltage time-series characteristic working condition identification according to claim 6, characterized in that, The correspondence between the specific discrimination parameters and the operating conditions is as follows: Under heavy load descent conditions: , , , , ; Under no-load lifting conditions: , , , , ; Under braking conditions: , , , , .

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