A special equipment energy efficiency optimization method and system

Abstract

The present invention discloses a method and system for optimizing the energy efficiency of special equipment, and relates to the field of data processing technology. The method includes: determining a variable frequency drive, performing variable frequency drive modeling, and generating a variable frequency drive simulation model; collecting load constraint information to perform load division and generate multiple test loads; inputting multiple test loads into the variable frequency drive simulation model to perform different uplink speed tests and calculate corresponding energy efficiency indicators for optimization, and generate multiple optimal operating speeds; when the target special equipment is in a non-peak operating zone, automatically sensing the load and matching it with multiple optimal operating speeds to generate a target operating speed; performing uplink energy efficiency optimization control through the variable frequency drive at the target operating speed. The method solves the technical problem in the prior art that special equipment cannot effectively optimize energy efficiency when the load changes, and intelligently matches the optimal operating speed through the variable frequency drive under different load conditions, thereby achieving the technical effect of improving the energy efficiency of special equipment and reducing energy consumption.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a method and system for optimizing energy efficiency of special equipment. Background Art

[0002] In modern buildings, elevators, as a representative piece of specialized equipment, have become an essential tool in people's daily lives and work. However, with increasing elevator usage, their energy consumption has gradually attracted attention. Traditional elevator systems often fail to dynamically adjust to real-time load conditions during operation, resulting in high speeds even when lightly loaded or unloaded, which in turn wastes energy. Furthermore, existing elevator systems have limited energy efficiency optimization strategies during off-peak hours, failing to effectively reduce energy consumption during low-load or unloaded periods and failing to fully realize their energy-saving potential. Summary of the Invention

[0003] The present application provides a method and system for optimizing the energy efficiency of special equipment, which solves the technical problem in the prior art that special equipment cannot effectively optimize the energy efficiency when the load changes.

[0004] In view of the above problems, the present application provides a method and system for optimizing the energy efficiency of special equipment.

[0005] In a first aspect of the present application, a method for optimizing energy efficiency of special equipment is provided, the method comprising:

[0006] Determine the variable frequency drive connected to the brake motor of the target special equipment, perform variable frequency drive modeling, and generate a variable frequency drive simulation model; collect the load constraint information of the target special equipment to perform load division and generate multiple test loads; input the multiple test loads into the variable frequency drive simulation model to perform different upward speed tests and calculate the corresponding energy efficiency indicators for optimization, and generate multiple optimal operating speeds corresponding to the multiple test loads; when the target special equipment is in a non-peak operating zone, automatically sense the load and match it with the multiple optimal operating speeds to generate a target operating speed; perform upward energy efficiency optimization control through the variable frequency drive at the target operating speed.

[0007] A second aspect of the present application provides a special equipment energy efficiency optimization system, the system comprising:

[0008] A modeling module, the modeling module is used to determine the variable frequency drive connected to the brake motor of the target special equipment, perform variable frequency drive modeling, and generate a variable frequency drive simulation model; a load division module, the load division module is used to collect the load constraint information of the target special equipment to perform load division and generate multiple test loads; an optimization module, the optimization module is used to input the multiple test loads into the variable frequency drive simulation model to perform different upward speed tests and calculate the corresponding energy efficiency indicators for optimization, and generate multiple optimal operating speeds corresponding to the multiple test loads; a matching module, the matching module is used to automatically sense the load and match it with the multiple optimal operating speeds when the target special equipment is in a non-peak operating zone to generate a target operating speed; a control module, the control module is used to perform upward energy efficiency optimization control through the variable frequency drive at the target operating speed.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0010] First, the variable frequency drive connected to the brake motor of the target special equipment is determined, and the variable frequency drive model is modeled to generate a variable frequency drive simulation model. Next, the load constraint information of the target special equipment is collected to divide the load and generate multiple test loads. Then, the multiple test loads are input into the variable frequency drive simulation model to perform different upward speed tests and calculate the corresponding energy efficiency indicators for optimization, generating multiple optimal operating speeds corresponding to the multiple test loads. When the target special equipment is in the off-peak operating period, the load is automatically sensed and matched with multiple optimal operating speeds to generate the target operating speed. Finally, the upward energy efficiency optimization control is performed through the variable frequency drive at the target operating speed. This solves the technical problem in the prior art that special equipment cannot effectively optimize energy efficiency when the load changes. The variable frequency drive intelligently matches the optimal operating speed under different load conditions, achieving the technical effect of improving the energy efficiency of special equipment and reducing energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0012] Figure 1 A schematic diagram of a flow chart of a method for optimizing energy efficiency of special equipment provided in an embodiment of the present application;

[0013] Figure 2 A schematic diagram of the structure of a special equipment energy efficiency optimization system provided in an embodiment of the present application.

[0014] Description of reference numerals: modeling module 11 , load division module 12 , optimization module 13 , matching module 14 , control module 15 . DETAILED DESCRIPTION

[0015] This application solves the technical problem in the prior art that special equipment cannot effectively optimize energy efficiency when the load changes by providing a special equipment energy efficiency optimization method and system.

[0016] The following will be combined with the accompanying drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only some of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0017] It should be noted that the terms "including" and "having" are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or are inherent to these processes, methods, products or devices.

[0018] Example 1, as Figure 1 As shown, the present application provides a method for optimizing energy efficiency of special equipment, wherein the method includes:

[0019] Determine the variable frequency drive connected to the brake motor of the target special equipment, perform variable frequency drive modeling, and generate a variable frequency drive simulation model.

[0020] The target special equipment refers to an elevator. Based on the target elevator, the variable frequency drive connected to the brake motor of the target elevator is determined. The variable frequency drive is the core device that controls the operating speed and power of the motor and can adjust the motor's speed and power output according to different load requirements. Modeling is performed based on the determined variable frequency drive, that is, the control system, power output characteristics of the inverter, and the load response of the motor are simulated and modeled to generate a variable frequency drive simulation model. The variable frequency drive simulation model is used to simulate the operating performance of the target special equipment under different operating conditions, especially the energy efficiency during load changes and speed adjustments. The variable frequency drive simulation model allows for multiple tests under different loads and speeds during the experimental phase to avoid energy waste or equipment damage caused by improper parameters during actual equipment operation.

[0021] Furthermore, the variable frequency drive connected to the brake motor of the target special equipment is determined, variable frequency drive modeling is performed, and a variable frequency drive simulation model is generated, including:

[0022] Establish a connection control relationship between the variable frequency drive and the brake motor; construct an equivalent circuit model of the brake motor, wherein the equivalent circuit model includes electrical parameters of the stator, rotor and magnetic flux; establish the variable frequency drive based on the connection control relationship and the equivalent circuit model, and collect historical control data for model verification and optimization.

[0023] Specifically, the variable frequency drive controls the speed and power output of the motor by adjusting the voltage and frequency. Therefore, according to the control logic and electrical connection method between the variable frequency drive and the brake motor, the electrical connection relationship between the variable frequency drive and the motor is established to ensure that the control signal can be accurately transmitted to the motor; the equivalent circuit model of the motor is constructed. The equivalent circuit model includes the electrical parameters of the stator, rotor and magnetic flux, such as the resistance and inductance of the stator, the impedance of the rotor, and the electromotive force of the magnetic flux. The equivalent circuit model can reflect the changes in the electrical characteristics of the motor under different working conditions, especially the response characteristics during load fluctuations or braking; according to the connection relationship between the variable frequency drive and the motor, and the equivalent circuit model of the motor, the overall modeling of the variable frequency drive is completed; after the variable frequency drive simulation model is established, the variable frequency drive simulation model is further verified and optimized by collecting and analyzing the historical control data of the target special equipment, including the response, voltage and current changes, and energy efficiency performance of the motor under different load conditions.

[0024] The load constraint information of the target special equipment is collected to perform load division and generate multiple test loads.

[0025] Load-related constraint information is collected from the target elevator's operation, including load type, load range, operating frequency, and actual load capacity under different operating conditions. Load levels (e.g., light, medium, and heavy) are categorized and divided into fixed intervals based on the rated load range of the target equipment, such as light (0% to 30%), medium (30% to 70%), and heavy (70% to 100%). Multiple test loads are then generated, each corresponding to a specific load range and operating condition. For example, different simulated load values are assigned to light, medium, and heavy loads, simulating the equipment's operation under different load conditions.

[0026] The multiple test loads are input into a variable frequency drive simulation model to perform different uplink speed tests and calculate corresponding energy efficiency indicators for optimization, thereby generating multiple optimal operating speeds corresponding to the multiple test loads.

[0027] Multiple test loads are input into the VFD simulation model. These test loads dynamically interact with the VFD's control logic to simulate the device's operating performance under varying load conditions. Within the VFD simulation model, each test load is simulated by varying the upward speed. The upward speed represents the speed at which the elevator travels upward, and varying speeds affect the motor's energy consumption and overall device efficiency. During the simulation, the upward speed is gradually adjusted (for example, from low to high) for each test load, observing the motor's power consumption, energy efficiency, and operational stability at different speeds. Based on the tests at various upward speeds, energy efficiency indicators are calculated for each speed. After calculating the energy efficiency indicators at various upward speeds, the optimal operating speed is selected for each test load. Specifically, the optimal upward speed is determined for each load scenario (light, medium, heavy, etc.).

[0028] As an elevator descends, gravity significantly reduces the power demand on the motor. Therefore, speed adjustment is primarily achieved through the motor's braking control, rather than through additional power from the drive system. The elevator's load and the balance between the counterweight system and the elevator's load also influence the elevator's descent. When the elevator is lightly loaded, the counterweight system's reaction force makes the descent smoother, even providing some degree of assistance. In short, gravity and the counterweight system reduce the motor's drive demand during descent, so there's no need to optimize the elevator's descent speed; simply maintain a safe speed.

[0029] Furthermore, the multiple test loads are input into the variable frequency drive simulation model to perform different uplink speed tests and calculate corresponding energy efficiency indicators for optimization, thereby generating multiple optimal operating speeds corresponding to the multiple test loads, including:

[0030] Obtain an operating speed constraint interval of the target special equipment; extract a first test load from the multiple test loads and input it into the variable frequency drive simulation model, and perform different operating speed controls according to the operating speed constraint interval to generate multiple first energy efficiency indicators, wherein any first energy efficiency indicator is a normalized weighted result of the driving current and the heat generated; identify an optimized speed space based on the multiple first energy efficiency indicators, optimize the operating speed according to the optimized speed space, generate a first optimal operating speed, and add it to the multiple optimal operating speeds.

[0031] Specifically, the operating speed constraint interval of the elevator is obtained, and the operating speed constraint interval defines the operating speed range allowed for the elevator under normal operating conditions; one test load is extracted from multiple test loads as a first test load, and the first test load is input into the variable frequency drive simulation model. The variable frequency drive simulation model will perform simulation tests at different speeds within the operating speed constraint interval of the elevator, and record data such as the driving current and the heat generated at each test speed; for each simulation run, a first energy efficiency index is calculated, which is a normalized weighted result of the driving current and the heat generated, that is, the current and heat are converted into comparable relative values, and the final energy efficiency index is formed through weighted combination, wherein the weight can be set according to the degree of influence of different factors on energy efficiency, for example, the weight of current consumption may be higher than the weight of heat generation.

[0032] After generating a plurality of first energy efficiency indicators at different speeds, these energy efficiency indicators are analyzed and all simulation test results are comprehensively evaluated to identify the speed range with the best energy efficiency, which is the so-called optimized speed space. In the optimized speed space, the energy efficiency indicators reach the best and the energy consumption of the equipment operation is the lowest. After identifying the optimized speed space, further detailed analysis and calculation are performed to determine an optimal operating speed, which is the first optimal operating speed. The first optimal operating speed is the operating speed with the best energy efficiency performance under the extracted first test load conditions. After the optimal operating speed corresponding to the first test load is determined, it is added to the multiple optimal operating speeds. In this way, each test load will have a corresponding optimal operating speed.

[0033] Furthermore, identifying an optimized speed space based on the multiple first energy efficiency indicators, optimizing the operating speed according to the optimized speed space, and generating a first optimal operating speed includes:

[0034] The multiple first energy efficiency indicators are arranged in order to obtain two adjacent speed nodes where the indicators increase or decrease in trend; the optimized speed space is established using the two adjacent speed nodes; different operating speeds are continuously generated in the optimized speed space, and the variable frequency drive simulation model is used to simulate again according to the first test load. After obtaining the energy efficiency indicator, the optimized speed space is repeatedly identified and updated until the updated optimized speed space meets the preset speed consistency deviation, and the operating speed corresponding to the minimum energy efficiency indicator is generated as the first optimal operating speed.

[0035] Specifically, the multiple first energy efficiency indicators calculated previously are sorted and arranged in order of the size of the energy efficiency indicators at different speeds, so as to obtain two adjacent speed nodes where the energy efficiency indicators change significantly. The energy efficiency change trend of these two nodes may be manifested as a gradual increase or decrease in the indicators, or a large change within a certain speed range; a preliminary optimized speed space is established with the two adjacent speed nodes as boundaries; within the optimized speed space, a set of new operating speeds are generated, which will be used for further testing and optimization in the simulation model. Each generated speed represents a new test point, and the simulation model will operate according to these speeds to simulate the energy efficiency performance of the motor at different speeds; the new operating speed is input into the variable frequency drive simulation model, and the first test load is used again for further testing and optimization. Perform simulation tests to obtain the corresponding energy efficiency indicators; after each simulation test, compare the new energy efficiency indicators with the previous results to find a speed range for further optimization; after multiple simulation tests, continue to identify the energy efficiency change trend between speed nodes and update the optimized speed space. Each test will narrow the speed space until the energy efficiency indicator change in the speed range meets the preset speed consistency deviation. The speed consistency deviation is a standard for judging whether the optimization is complete, that is, the energy efficiency indicator change in the speed range has reached the minimum range, and the energy efficiency cannot be significantly improved by further adjusting the speed; in the updated optimized speed space, find the operating speed with the minimum energy efficiency indicator. The energy efficiency indicator corresponding to this speed is the optimal value of the equipment under the current load conditions, that is, the first optimal operating speed.

[0036] When the target special equipment is in a non-peak operating zone, the load is automatically sensed and matched with the multiple optimal operating speeds to generate a target operating speed.

[0037] Off-peak hours typically refer to periods of low equipment usage, such as late at night or early morning, when equipment loads are typically lower and usage is less frequent. Whether an elevator is operating during off-peak hours is determined based on historical data or the elevator's preset schedule. When an elevator is identified as operating during off-peak hours, a load sensor detects the current load and matches it with multiple optimal operating speeds. This matching determines the target speed, which meets the elevator's operational requirements with minimal energy consumption while ensuring safety.

[0038] Furthermore, it also includes:

[0039] Obtain historical application record data of the target special equipment; perform frequent clustering of the uplink frequencies and the number of passengers at multiple time nodes based on the historical application record data, and generate multiple frequent uplink frequencies and multiple frequent passenger numbers corresponding to the multiple time nodes; configure a peak time zone uplink frequency threshold and a peak time zone passenger flow threshold; perform time zone segmentation on the multiple frequent uplink frequencies and multiple frequent passenger numbers corresponding to the multiple time nodes using the peak time zone uplink frequency threshold and the peak time zone passenger flow threshold, and generate peak operation time zones and non-peak operation time zones.

[0040] Preferably, historical elevator usage record data is obtained from the elevator's operation log, including elevator operation information at different time nodes, such as the elevator's upward frequency, operating time period, and load conditions (number of passengers or load weight). Frequent clustering analysis is performed on the upward frequency and number of passengers at multiple time nodes. By clustering historical data, the common distribution of elevator upward frequency and passenger number in different time periods can be identified. For example, during the morning rush hour on weekdays, the frequency of elevator upward travel and the number of passengers are high, while the frequency of elevator use is significantly reduced during non-working hours. Cluster analysis of this data can generate the frequent upward frequency and frequent passenger number at the corresponding time node, that is, the most common usage in each time period.

[0041] Based on the elevator's operational needs, you can set a peak hour threshold for the number of trips per hour and a peak hour passenger flow threshold. These thresholds represent the criteria for defining a period as peak. For example, if the number of trips per hour exceeds a certain threshold or the number of passengers carried exceeds a preset threshold, the period will be marked as peak.

[0042] After setting the peak time zone threshold, the frequency of frequent uplinks and the number of frequent passengers at multiple time points are compared with the preset threshold. If the frequency of uplinks or the number of passengers at a certain time point exceeds the peak time zone threshold, the time period is marked as peak operation time; conversely, if it does not exceed the threshold, it is marked as off-peak operation time.

[0043] Furthermore, it also includes:

[0044] When the target special equipment is in the peak operation zone, the load is automatically sensed and the maximum safe operating speed of the target special equipment is obtained; the maximum safe operating speed is input into the variable frequency drive for upward control.

[0045] Preferably, when it is identified that the current time belongs to the peak operation zone, during the peak time zone, the elevator is used more frequently, and the load and operation demand increase, so it is necessary to adopt appropriate speed and control strategies to meet the operation requirements under high load conditions.

[0046] When it is confirmed that the elevator is in the peak time zone, the current load situation is automatically sensed by the load sensor installed on the elevator. Based on the sensed load data, the maximum safe operating speed that the equipment can withstand under the current circumstances will be determined in combination with the safety parameters of the equipment. The maximum safe operating speed is input into the equipment's variable frequency drive as a control parameter. The variable frequency drive is responsible for adjusting the speed control of the motor and, by adjusting the voltage and frequency, ensures that the elevator ascends at the maximum safe operating speed during peak hours.

[0047] Upstream energy efficiency optimization control is performed through the variable frequency drive at the target operating speed.

[0048] The target operating speed is input into the variable frequency drive as a control parameter. After receiving the target operating speed, the variable frequency drive performs real-time voltage and frequency adjustments.

[0049] Furthermore, performing upstream energy efficiency optimization control by the variable frequency drive at the target operating speed includes:

[0050] The variable frequency drive is embedded with a smooth start-stop module; the target operating speed is input into the variable frequency drive, and the smooth start-stop module is used to smoothly accelerate the target operating speed.

[0051] Specifically, the variable frequency drive has a built-in smooth start-stop module. The smooth start-stop module avoids sudden acceleration or deceleration when the elevator starts and stops, ensuring that the equipment runs more smoothly. The smooth start-stop module gradually increases or decreases the speed of the motor through a precise control algorithm to ensure that there are no sudden speed changes during the entire process. The target operating speed obtained based on load sensing and energy efficiency optimization is input into the variable frequency drive. After receiving the target operating speed, the smooth start-stop module controls the motor to gradually accelerate to the target speed in a smooth manner.

[0052] Specifically, when the elevator starts, the motor starts from a stationary state. The smooth start-stop module will gradually increase the starting voltage and frequency of the motor, controlling the motor to run at a lower initial speed to avoid motor shock caused by sudden acceleration. During the acceleration phase after startup, the smooth start-stop module will control the increase in voltage and frequency, allowing the motor to gradually increase its speed at a steady rate until it reaches the target operating speed. During this process, the variable frequency drive gradually increases its power output to ensure that the motor does not experience drastic load changes during operation, thereby achieving a smooth transition. When the motor accelerates to the target operating speed, the smooth start-stop module stabilizes the motor speed at that speed, ensuring that the equipment operates efficiently at the optimal speed. The smooth start-stop module avoids sudden power fluctuations during the motor's starting and stopping process, thereby reducing current shock and energy waste during startup.

[0053] In summary, the embodiments of the present application have at least the following technical effects:

[0054] First, the variable frequency drive connected to the brake motor of the target special equipment is determined, and the variable frequency drive model is modeled to generate a variable frequency drive simulation model. Next, the load constraint information of the target special equipment is collected to divide the load and generate multiple test loads. Then, the multiple test loads are input into the variable frequency drive simulation model to perform different upward speed tests and calculate the corresponding energy efficiency indicators for optimization, generating multiple optimal operating speeds corresponding to the multiple test loads. When the target special equipment is in the off-peak operating period, the load is automatically sensed and matched with multiple optimal operating speeds to generate the target operating speed. Finally, the upward energy efficiency optimization control is performed through the variable frequency drive at the target operating speed. This solves the technical problem in the prior art that special equipment cannot effectively optimize energy efficiency when the load changes. The variable frequency drive intelligently matches the optimal operating speed under different load conditions, achieving the technical effect of improving the energy efficiency of special equipment and reducing energy consumption.

[0055] Example 2, based on the same inventive concept as the method for optimizing energy efficiency of special equipment in the above embodiment, Figure 2 As shown, the present application provides a special equipment energy efficiency optimization system, wherein the system includes:

[0056] A modeling module 11, the modeling module 11 is used to determine the variable frequency drive connected to the brake motor of the target special equipment, perform variable frequency drive modeling, and generate a variable frequency drive simulation model; a load division module 12, the load division module 12 is used to collect the load constraint information of the target special equipment to perform load division and generate multiple test loads; an optimization module 13, the optimization module 13 is used to input the multiple test loads into the variable frequency drive simulation model to perform different upward speed tests and calculate the corresponding energy efficiency indicators for optimization, and generate multiple optimal operating speeds corresponding to the multiple test loads; a matching module 14, the matching module 14 is used to automatically sense the load and match it with the multiple optimal operating speeds when the target special equipment is in a non-peak operating zone to generate a target operating speed; a control module 15, the control module 15 is used to perform upward energy efficiency optimization control through the variable frequency drive at the target operating speed.

[0057] Furthermore, the optimization module 13 is used to perform the following method:

[0058] Obtain an operating speed constraint interval of the target special equipment; extract a first test load from the multiple test loads and input it into the variable frequency drive simulation model, and perform different operating speed controls according to the operating speed constraint interval to generate multiple first energy efficiency indicators, wherein any first energy efficiency indicator is a normalized weighted result of the driving current and the heat generated; identify an optimized speed space based on the multiple first energy efficiency indicators, optimize the operating speed according to the optimized speed space, generate a first optimal operating speed, and add it to the multiple optimal operating speeds.

[0059] Furthermore, the optimization module 13 is used to perform the following method:

[0060] The multiple first energy efficiency indicators are arranged in order to obtain two adjacent speed nodes where the indicators increase or decrease in trend; the optimized speed space is established using the two adjacent speed nodes; different operating speeds are continuously generated in the optimized speed space, and the variable frequency drive simulation model is used to simulate again according to the first test load. After obtaining the energy efficiency indicator, the optimized speed space is repeatedly identified and updated until the updated optimized speed space meets the preset speed consistency deviation, and the operating speed corresponding to the minimum energy efficiency indicator is generated as the first optimal operating speed.

[0061] Furthermore, the matching module 14 is configured to execute the following method:

[0062] Obtain historical application record data of the target special equipment; perform frequent clustering of the uplink frequencies and the number of passengers at multiple time nodes based on the historical application record data, and generate multiple frequent uplink frequencies and multiple frequent passenger numbers corresponding to the multiple time nodes; configure a peak time zone uplink frequency threshold and a peak time zone passenger flow threshold; perform time zone segmentation on the multiple frequent uplink frequencies and multiple frequent passenger numbers corresponding to the multiple time nodes using the peak time zone uplink frequency threshold and the peak time zone passenger flow threshold, and generate peak operation time zones and non-peak operation time zones.

[0063] Furthermore, the matching module 14 is configured to execute the following method:

[0064] When the target special equipment is in the peak operation zone, the load is automatically sensed and the maximum safe operating speed of the target special equipment is obtained; the maximum safe operating speed is input into the variable frequency drive for upward control.

[0065] Furthermore, the control module 15 is configured to execute the following method:

[0066] The variable frequency drive is embedded with a smooth start-stop module; the target operating speed is input into the variable frequency drive, and the smooth start-stop module is used to smoothly accelerate the target operating speed.

[0067] Furthermore, the modeling module 11 is used to perform the following method:

[0068] Establish a connection control relationship between the variable frequency drive and the brake motor; construct an equivalent circuit model of the brake motor, wherein the equivalent circuit model includes electrical parameters of the stator, rotor and magnetic flux; establish the variable frequency drive based on the connection control relationship and the equivalent circuit model, and collect historical control data for model verification and optimization.

[0069] It should be noted that the order in which the embodiments of the present application are presented is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. Furthermore, the foregoing descriptions of specific embodiments of this specification are provided. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0070] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

[0071] This specification and drawings are merely illustrative of the present application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Obviously, those skilled in the art may make various modifications and variations to this application without departing from the scope of this application. Thus, this application is intended to include such modifications and variations as fall within the scope of this application and its equivalents.

Claims

1. A method for optimizing energy efficiency of special equipment, characterized in that: The method comprises: Determine the variable frequency drive connected to the brake motor of the target special equipment, perform variable frequency drive modeling, and generate a variable frequency drive simulation model; Collecting load constraint information of the target special equipment to perform load division and generate multiple test loads; Inputting the multiple test loads into a variable frequency drive simulation model to perform different uplink speed tests and calculating corresponding energy efficiency indicators for optimization, thereby generating multiple optimal operating speeds corresponding to the multiple test loads; When the target special equipment is in a non-peak operating zone, automatically sensing the load and matching the multiple optimal operating speeds to generate a target operating speed; performing upstream energy efficiency optimization control at the target operating speed through the variable frequency drive; Inputting the multiple test loads into a variable frequency drive simulation model to perform different uplink speed tests and calculating corresponding energy efficiency indicators for optimization, thereby generating multiple optimal operating speeds corresponding to the multiple test loads, including: Obtaining an operating speed constraint range of the target special equipment; Extracting a first test load from the multiple test loads and inputting it into the variable frequency drive simulation model, and performing different operating speed controls according to the operating speed constraint interval to generate multiple first energy efficiency indicators, wherein any first energy efficiency indicator is a normalized weighted result of the drive current and the generated heat; Identifying an optimized speed space based on the multiple first energy efficiency indicators, optimizing the operating speed according to the optimized speed space, generating a first optimal operating speed, and adding the first optimal operating speed to the multiple optimal operating speeds; Identifying an optimized speed space based on the multiple first energy efficiency indicators, optimizing the operating speed according to the optimized speed space, and generating a first optimal operating speed includes: Arrange the plurality of first energy efficiency indicators in order to obtain two adjacent speed nodes where the indicators have an increasing or decreasing trend; Establishing the optimized speed space with the two adjacent speed nodes; Different operating speeds continue to be generated in the optimized speed space, and the variable frequency drive simulation model is used to simulate again according to the first test load. After obtaining the energy efficiency index, the optimized speed space is repeatedly identified and updated until the updated optimized speed space meets the preset speed consistency deviation, and the operating speed corresponding to the minimum energy efficiency index is generated as the first optimal operating speed.

2. A method for optimizing energy efficiency of special equipment according to claim 1, characterized in that: Also includes: Obtaining historical application record data of the target special equipment; Performing frequent clustering of uplink frequencies and passenger numbers at multiple time nodes based on the historical application record data, and generating multiple frequent uplink frequencies and multiple frequent passenger numbers corresponding to the multiple time nodes; Configure the uplink frequency threshold and passenger flow threshold during peak hours; The multiple frequent upward frequencies and multiple frequent passenger numbers corresponding to the multiple time nodes are divided into time zones based on the peak time zone upward frequency threshold and the peak time zone passenger flow threshold to generate peak operation time zones and non-peak operation time zones.

3. A method for optimizing energy efficiency of special equipment according to claim 2, characterized in that: Also includes: When the target special equipment is in the peak operation zone, automatically sensing the load and obtaining the highest safe operating speed of the target special equipment; The maximum safe operating speed is input into the variable frequency drive for upward control.

4. A method for optimizing energy efficiency of special equipment according to claim 1, characterized in that: Performing upstream energy efficiency optimization control at the target operating speed through the variable frequency drive includes: The variable frequency drive is embedded with a smooth start-stop module; The target operating speed is input into the variable frequency drive, and is smoothly accelerated to the target operating speed by the smooth start-stop module.

5. A method for optimizing energy efficiency of special equipment according to claim 1, characterized in that: Identify the variable frequency drive connected to the brake motor of the target special equipment, perform variable frequency drive modeling, and generate a variable frequency drive simulation model, including: Establishing a connection control relationship between the variable frequency drive and the brake motor; Constructing an equivalent circuit model of the brake motor, wherein the equivalent circuit model includes electrical parameters of the stator, rotor, and flux linkage; The variable frequency drive is established based on the connection control relationship and the equivalent circuit model, and historical control data is collected to perform model verification and optimization.

6. A special equipment energy efficiency optimization system, characterized in that: A method for optimizing energy efficiency of special equipment according to any one of claims 1 to 5, the system comprising: A modeling module, the modeling module is used to determine the variable frequency drive connected to the brake motor of the target special equipment, perform variable frequency drive modeling, and generate a variable frequency drive simulation model; A load division module, the load division module is used to collect load constraint information of the target special equipment, perform load division, and generate multiple test loads; An optimization module, configured to input the multiple test loads into a variable frequency drive simulation model to perform different uplink speed tests and calculate corresponding energy efficiency indicators for optimization, thereby generating multiple optimal operating speeds corresponding to the multiple test loads; a matching module, the matching module being configured to automatically sense the load and match the multiple optimal operating speeds to generate a target operating speed when the target special equipment is in a non-peak operating zone; A control module is used to perform upstream energy efficiency optimization control through the variable frequency drive at the target operating speed.

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