Special equipment energy efficiency optimization method and system

Abstract

The invention discloses a special equipment energy efficiency optimization method and system, and relates to the technical field of data processing. The method comprises the steps that a variable frequency driver is determined, variable frequency driving modeling is carried out, and a variable frequency driving simulation model is generated; load constraint information is collected for load division, and a plurality of test loads are generated; inputting the plurality of test loads into the variable frequency drive simulation model to carry out different uplink speed tests, calculating corresponding energy efficiency indexes to carry out optimization, and generating a plurality of optimal operation speeds; when the target special equipment is in an off-peak operation time zone, automatically sensing a load and matching the load with a plurality of optimal operation speeds to generate a target operation speed; and performing uplink energy efficiency optimization control through the variable frequency driver at the target operation speed. The technical problem that in the prior art, energy efficiency optimization cannot be effectively conducted on special equipment when loads change is solved, the optimal operation speed is intelligently matched through the variable frequency driver under different load conditions, and the technical effects of improving the energy efficiency of the special equipment and reducing energy consumption are achieved.

Description

Technical Field

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

[0002] In modern buildings, elevators, as one of the representatives of special equipment, have become an essential tool in people's daily life and work. However, with the increasing use frequency of elevators, their energy consumption problems have gradually attracted attention. In the operation of traditional elevator systems, they usually cannot be dynamically adjusted according to the real-time load conditions, resulting in running at a relatively high speed even under light load or no load, thus causing energy waste. In addition, the existing elevator systems have limited energy efficiency optimization strategies during off-peak hours, unable to effectively reduce the energy consumption under low load or no load, and failing to fully play the role of energy conservation. Summary of the Invention

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

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

[0005] In the first aspect of this application, a method for optimizing the energy efficiency of special equipment is provided. The method includes: Determine the variable frequency drive connected to the braking motor of the target special equipment, perform variable frequency drive modeling to generate a variable frequency drive simulation model; collect the load constraint information of the target special equipment for load division to generate multiple test loads; input the multiple test loads into the variable frequency drive simulation model for different upward speed tests and calculate the corresponding energy efficiency indicators for optimization to generate multiple optimal operating speeds corresponding to the multiple test loads; when the target special equipment is in the off-peak operation time 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.

[0006] In the second aspect of this application, a system for optimizing the energy efficiency of special equipment is provided. The system includes: A modeling module, which is used to determine a variable frequency drive connected to the braking motor of a target special equipment, perform variable frequency drive modeling, and generate a variable frequency drive simulation model; a load division module, which is used to collect the load constraint information of the target special equipment for load division and generate multiple test loads; an optimization module, which is used to input the multiple test loads into the variable frequency drive simulation model for 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, which 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 operation time zone to generate a target operating speed; a control module, which is used to perform upward energy efficiency optimization control through the variable frequency drive at the target operating speed.

[0007] One or more technical solutions provided in this application have at least the following technical effects or advantages: First, determine the variable frequency drive connected to the braking motor of the target special equipment, perform variable frequency drive modeling, and generate a variable frequency drive simulation model. Next, collect the load constraint information of the target special equipment for load division and generate multiple test loads. Then, input the multiple test loads into the variable frequency drive simulation model for 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 operation time zone, automatically sense the load and match it with the multiple optimal operating speeds to generate a target operating speed. Finally, perform upward energy efficiency optimization control 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. By intelligently matching the optimal operating speed through the variable frequency drive under different load conditions, the technical effects of improving the energy efficiency of special equipment and reducing energy consumption are achieved. Description of the Drawings

[0008] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0009] Figure 1 It is a schematic flowchart of a method for optimizing the energy efficiency of special equipment provided by an embodiment of this application; Figure 2 It is a schematic structural diagram of a system for optimizing the energy efficiency of special equipment provided by an embodiment of this application.

[0010] Explanation of the reference numerals: modeling module 11 , load division module 12 , optimization module 13 , matching module 14 , control module 15 . DETAILED DESCRIPTION

[0011] The present 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.

[0012] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0013] 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 explicitly listed, but may include other steps or modules that are not explicitly listed or are inherent to these processes, methods, products or devices.

[0014] Embodiment 1, as Figure 1 As shown, the present application provides a method for optimizing energy efficiency of special equipment, wherein 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.

[0015] The target special equipment refers to the 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 for controlling the running speed and power of the motor, and can adjust the speed and power output of the motor 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 working conditions, especially the energy efficiency during load changes and speed adjustments. Through the variable frequency drive simulation model, multiple tests under different loads and speeds can be performed during the experimental stage to avoid energy waste or equipment damage caused by improper parameters during actual equipment operation.

[0016] Furthermore, the variable frequency drive connected to the brake motor of the target special equipment is determined, the variable frequency drive model is performed, and a variable frequency drive simulation model is generated, including: Establish the connection control relationship between the variable frequency drive and the braking motor; construct the equivalent circuit model of the braking motor, and the equivalent circuit model includes the 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.

[0017] 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 braking motor, establish the electrical connection relationship between the variable frequency drive and the motor to ensure that the control signal can be accurately transmitted to the motor; construct the equivalent circuit model of the motor, and 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 operating conditions, especially the response characteristics during load fluctuations or braking; complete the overall modeling of the variable frequency drive according to the connection relationship between the variable frequency drive and the motor, and the equivalent circuit model of the motor; after the variable frequency drive simulation model is established, further verify and optimize the variable frequency drive simulation model by collecting and analyzing the historical control data of the target special equipment, including the response of the motor under different load conditions, the changes in voltage and current, and the energy efficiency performance.

[0018] Collect the load constraint information of the target special equipment for load division to generate multiple test loads.

[0019] Collect the constraint information related to the load during the operation of the target elevator, including the load type, load range, operating frequency, actual load weight, etc. under different working conditions. Classify based on different load levels (such as light load, medium load, heavy load), and divide the load into several fixed intervals according to the rated load range of the target equipment, such as light load (0% - 30%), medium load (30% - 70%), heavy load (70% - 100%), and then generate multiple test loads. Each test load corresponds to a specific load range and working condition. For example, the light load, medium load, and heavy load correspond to different simulated load values, respectively simulating the operation of the equipment under different load conditions.

[0020] Input the multiple test loads into the variable frequency drive simulation model for different upward speed tests and calculate the corresponding energy efficiency indicators for optimization to generate multiple optimal operating speeds corresponding to the multiple test loads.

[0021] Multiple test loads are input into the variable frequency drive simulation model. The test loads will dynamically interact with the control logic of the variable frequency drive to simulate the operating performance of the device under different load conditions. In the variable frequency drive simulation model, each test load is simulated and tested by changing the upward speed. The upward speed is the speed of the elevator when it is running upward, and different speeds will affect the energy consumption of the motor and the operating efficiency of the overall device. During the simulation process, for each test load, the upward speed is gradually adjusted (for example, from low speed to high speed), and the power consumption, energy efficiency performance, and operating stability of the motor at different speeds are observed. Based on the tests at different upward speeds, the energy efficiency indicators at each speed are calculated. After calculating the energy efficiency indicators at different upward speeds, for each test load, the speed with the highest energy efficiency is selected as the optimal operating speed, that is, for different load scenarios (light load, medium load, heavy load, etc.), an upward speed with the best energy efficiency is determined respectively.

[0022] When the elevator is descending, due to the action of gravity, the power demand of the motor is greatly reduced. Therefore, the speed is mainly adjusted through the braking control of the motor, rather than the drive system providing additional power. At this time, the balance relationship between the load state of the elevator and the counterweight system will also affect the descent. When the elevator load is light, the reaction force of the counterweight system will make the elevator descend more smoothly, and even have a certain degree of boosting effect. In short, when the elevator is descending, due to the action of gravity and the counterweight system, the drive demand of the motor is reduced, so there is no need to optimize the downward speed of the elevator additionally, and only need to maintain a safe speed for operation.

[0023] Furthermore, inputting the multiple test loads into the variable frequency drive simulation model for different upward speed tests and calculating the corresponding energy efficiency indicators for optimization, generating multiple optimal operating speeds corresponding to the multiple test loads, includes: Obtain the operating speed constraint interval of the target special equipment; extract the 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, where any one of the first energy efficiency indicators is the normalized weighted result of the drive current and the generated heat; based on the multiple first energy efficiency indicators, identify the optimized speed space, optimize the operating speed according to the optimized speed space, generate the first optimal operating speed, and add it to the multiple optimal operating speeds.

[0024] Specifically, obtain the operating speed constraint interval of the elevator. The operating speed constraint interval defines the range of operating speeds allowed for the elevator under normal working conditions. Extract one from multiple test loads as the first test load, and input the first test load 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 drive current and generated heat at each test speed. For each simulation run, calculate a first energy efficiency index. The first energy efficiency index is the normalized weighted result of the drive current and generated heat, that is, convert the current and heat into comparable relative values and form the final energy efficiency index through weighted combination. Among them, the weights can be set according to the influence degree of different factors on energy efficiency. For example, the consumption weight of current may be higher than the weight of heat generation.

[0025] After generating multiple first energy efficiency indexes at different speeds, by analyzing these energy efficiency indexes and comprehensively evaluating all simulation test results, identify the speed range with the best energy efficiency, that is, the so-called optimized speed space. In the optimized speed space, the energy efficiency index reaches the best and the energy consumption of the equipment operation is the lowest. After identifying the optimized speed space, further through refined analysis and calculation, determine an optimal operating speed, that is, the first optimal operating speed. The first optimal operating speed is the operating speed with the best energy efficiency performance under the condition of the first test load extracted. When the optimal operating speed corresponding to the first test load is determined, add it to the multiple optimal operating speeds. In this way, each test load will have a corresponding optimal operating speed.

[0026] Furthermore, based on the multiple first energy efficiency indexes, identify the optimized speed space, optimize the operating speed according to the optimized speed space, and generate the first optimal operating speed, including: Arrange the multiple first energy efficiency indexes in order, and obtain two adjacent speed nodes where the trend of index increase and decrease changes; establish the optimized speed space with the two adjacent speed nodes; continue to generate different operating speeds in the optimized speed space, and re-simulate according to the first test load through the variable frequency drive simulation model. After obtaining the energy efficiency index, repeat the identification and update of the optimized speed space until the updated optimized speed space meets the preset speed consistency deviation, and generate the operating speed corresponding to the minimum energy efficiency index as the first optimal operating speed.

[0027] Specifically, sort the multiple first energy efficiency indicators calculated previously, arranging them in the order of the size of the energy efficiency indicators at different speeds, so as to obtain two adjacent speed nodes with obvious changes in the energy efficiency indicators. The energy efficiency change trends of these two nodes may show that the indicators gradually increase or decrease, or change significantly within a certain speed range. Take two adjacent speed nodes as the boundaries to establish a preliminary optimized speed space. Generate a set of new operating speeds within the optimized speed space. These speeds 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. Input the new operating speeds into the variable frequency drive simulation model, and conduct simulation tests again based on the first test load to obtain the corresponding energy efficiency indicators. After each simulation test, compare the new energy efficiency indicators with the previous results to find the speed range for further optimization. After multiple simulation tests, continue to identify the energy efficiency change trends between the speed nodes and update the optimized speed space. Among them, each test will narrow the speed space until the energy efficiency indicator change within the speed range meets the preset speed consistency deviation. The speed consistency deviation is a criterion for judging whether the optimization is completed, that is, the energy efficiency indicator change within the speed range has reached the minimum range, and it is impossible to significantly improve the energy efficiency 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 condition, that is, the first optimal operating speed.

[0028] When the target special equipment is in the non-peak operation time zone, automatically sense the load and match it with the multiple optimal operating speeds to generate the target operating speed.

[0029] The non-peak time zone usually refers to the time periods with relatively low equipment usage frequency, such as late at night or in the morning. At this time, the load of the equipment is usually small and the usage frequency is low. Determine whether the elevator is in the non-peak period according to historical data or the preset schedule of the elevator. When it is identified that the elevator is in the non-peak operation time zone, detect the current load weight through the load sensor, and match it with the multiple optimal operating speeds according to the size of the load. After the matching is completed, the target operating speed is obtained. The target operating speed can meet the operating requirements of the elevator with the minimum energy consumption on the premise of ensuring the safety of the elevator.

[0030] Furthermore, it also includes: Obtain the historical application record data of the target special equipment; perform frequent clustering on the uplink frequency and the number of passengers at multiple time nodes based on the historical application record data to generate multiple frequent uplink frequencies and multiple frequent passenger numbers corresponding to the multiple time nodes; configure the uplink frequency threshold for the peak time zone and the passenger flow threshold for the peak time zone; use the uplink frequency threshold for the peak time zone and the passenger flow threshold for the peak time zone to perform time division on the multiple frequent uplink frequencies and multiple frequent passenger numbers corresponding to the multiple time nodes to generate a peak operation time zone and a non-peak operation time zone.

[0031] Preferably, obtain the historical application record data of the elevator through the operation log of the elevator, including the operation information of the elevator at different time nodes, such as the uplink frequency of the elevator, the operation period, the load condition (the number of passengers or the load capacity), etc.; perform frequent clustering analysis on the uplink frequency and the number of passengers at multiple time nodes. By clustering the historical data, the common distribution of the uplink frequency and the number of passengers carried by the elevator at different time periods can be found. For example, during the morning rush hour on weekdays, the uplink frequency and the number of passengers of the elevator are relatively high, while during non-working hours, the usage frequency of the elevator is significantly reduced. Through the clustering analysis of these data, the frequent uplink frequency and the frequent number of passengers corresponding to the time nodes can be generated, that is, the most common usage conditions in each time period.

[0032] Set the uplink frequency threshold for the peak time zone and the passenger flow threshold for the peak time zone according to the operation requirements of the elevator. These thresholds represent the criteria for defining a certain time period as a peak time period. For example, if the number of uplinks of the elevator within one hour exceeds a certain set value or the passenger capacity exceeds a preset threshold, this time period can be marked as a peak time period.

[0033] After setting the thresholds for the peak time zone, compare the frequent uplink frequencies and the frequent number of passengers at multiple time nodes with the preset thresholds. If the uplink frequency or the number of passengers at a certain time node exceeds the peak time zone threshold, then this time period will be marked as the peak operation time zone; on the contrary, if it does not exceed the threshold, it will be marked as the non-peak operation time zone.

[0034] Furthermore, it also includes: When the target special equipment is in the peak operation time zone, automatically sense the load and obtain the highest safe operation speed of the target special equipment; input the highest safe operation speed into the variable frequency drive for uplink control.

[0035] Preferably, when it is recognized that the current time belongs to the peak operation time zone, in the peak time zone, the usage frequency of the elevator is relatively high, the load and operation requirements increase, so appropriate speed and control strategies need to be adopted to meet the operation requirements under high load conditions.

[0036] When it is confirmed that the elevator is in the peak time zone, the load sensor installed on the elevator will automatically sense the current load situation; based on the sensed load data, it will be combined with the safety parameters of the equipment to determine the highest safe operating speed that the equipment can withstand under the current circumstances; the highest safe operating speed will be 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 ensuring that the elevator can go up at the highest safe operating speed during peak hours by adjusting the voltage and frequency.

[0037] The upstream energy efficiency optimization control is performed through the variable frequency drive at the target operating speed.

[0038] 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.

[0039] Furthermore, performing upstream energy efficiency optimization control by the variable frequency drive at the target operating speed 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 the smooth start-stop module is used to smoothly accelerate the target operating speed.

[0040] Specifically, the variable frequency drive has a built-in smooth start-stop module, which 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 matching 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.

[0041] Specifically, when the elevator starts, the motor starts from a stationary state, and the smooth start-stop module will gradually increase the starting voltage and frequency of the motor, control the motor to run at a lower initial speed, and avoid motor shock caused by sudden acceleration; in the acceleration stage after starting, the smooth start-stop module will control the increase of voltage and frequency, so that the motor gradually increases the speed at a steady speed until the target operating speed is reached. In this process, the variable frequency drive gradually increases the power output to ensure that the motor will 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 this speed to ensure that the equipment runs efficiently at the optimal speed. The smooth start-stop module avoids sudden power fluctuations during the start and stop process of the motor, thereby reducing current shocks and energy waste during startup.

[0042] In summary, the embodiments of the present application have at least the following technical effects: First, determine the variable frequency drive connected to the braking motor of the target special equipment, perform variable frequency drive modeling, and generate a variable frequency drive simulation model. Next, collect the load constraint information of the target special equipment for load division to generate multiple test loads. Then, input the multiple test loads into the variable frequency drive simulation model for different upward speed tests and calculate the corresponding energy efficiency indicators for optimization to generate multiple optimal operating speeds corresponding to the multiple test loads. When the target special equipment is in the non-peak operation time zone, automatically sense the load and match it with the multiple optimal operating speeds to generate the target operating speed. Finally, perform upward energy efficiency optimization control 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, and intelligently matches the optimal operating speed through the variable frequency drive under different load conditions, achieving the technical effects of improving the energy efficiency of special equipment and reducing energy consumption.

[0043] Embodiment 2, based on the same inventive concept as a method for optimizing the energy efficiency of a special equipment in the foregoing embodiment, as Figure 2 shown, the present application provides a special equipment energy efficiency optimization system, wherein the system includes: A modeling module 11, where the modeling module 11 is used to determine the variable frequency drive connected to the braking motor of the target special equipment, perform variable frequency drive modeling, and generate a variable frequency drive simulation model; a load division module 12, where the load division module 12 is used to collect the load constraint information of the target special equipment for load division to generate multiple test loads; an optimization module 13, where the optimization module 13 is used to input the multiple test loads into the variable frequency drive simulation model for different upward speed tests and calculate the corresponding energy efficiency indicators for optimization to generate multiple optimal operating speeds corresponding to the multiple test loads; a matching module 14, where the matching module 14 is used to automatically sense the load and match it with the multiple optimal operating speeds to generate the target operating speed when the target special equipment is in the non-peak operation time zone; a control module 15, where the control module 15 is used to perform upward energy efficiency optimization control through the variable frequency drive at the target operating speed.

[0044] Further, the optimization module 13 is used to execute the following method: Obtain the operating speed constraint interval of the target special equipment; extract the 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, where any one of the first energy efficiency indicators is the normalized weighted result of the drive current and the generated heat; perform optimization speed space identification based on the multiple first energy efficiency indicators, perform operating speed optimization according to the optimization speed space to generate the first optimal operating speed, and add it to the multiple optimal operating speeds.

[0045] Furthermore, the optimization module 13 is used to execute the following method: Arrange the multiple first energy efficiency indicators in sequence to obtain two adjacent speed nodes with changing trends of indicator increase and decrease; establish the optimization speed space with the two adjacent speed nodes; continue to generate different operating speeds in the optimization speed space, and perform simulation again according to the first test load through the variable frequency drive simulation model, obtain the energy efficiency indicators, and then repeat the identification and update of the optimization speed space until the updated optimization speed space meets the preset speed consistency deviation, and generate the operating speed corresponding to the minimum energy efficiency indicator as the first optimal operating speed.

[0046] Furthermore, the matching module 14 is used to execute the following method: Obtain the historical application record data of the target special equipment; perform frequent clustering of the upward frequencies and the number of passengers at multiple time nodes based on the historical application record data to generate multiple frequent upward frequencies and multiple frequent passenger numbers corresponding to the multiple time nodes; configure the upward frequency threshold in the peak time zone and the passenger flow threshold in the peak time zone; perform time division on the multiple frequent upward frequencies and multiple frequent passenger numbers corresponding to the multiple time nodes with the upward frequency threshold in the peak time zone and the passenger flow threshold in the peak time zone to generate a peak operation time zone and a non-peak operation time zone.

[0047] Furthermore, the matching module 14 is used to execute the following method: When the target special equipment is in the peak operation time zone, automatically sense the load and obtain the highest safe operating speed of the target special equipment; input the highest safe operating speed into the variable frequency drive for upward control.

[0048] Furthermore, the control module 15 is used to execute the following method: The variable frequency drive is embedded with a smooth start-stop module; input the target operating speed into the variable frequency drive, and perform smooth acceleration to the target operating speed through the smooth start-stop module.

[0049] Furthermore, the modeling module 11 is used to execute the following method: Establish the connection control relationship between the variable frequency drive and the braking motor; construct the equivalent circuit model of the braking motor, and the equivalent circuit model includes the electrical parameters of the stator, rotor and magnetic flux; establish the variable frequency drive with the connection control relationship and the equivalent circuit model, and collect historical control data for model verification and optimization.

[0050] It should be noted that the above sequence of embodiments of the present application is only for description and does not represent the superiority or inferiority of the embodiments. And the above description of specific embodiments of this specification has been made. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0051] The above are only the preferred embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present application shall be included within the protection scope of the present application.

[0052] This specification and the drawings are only exemplary descriptions of the present application and are considered to have covered any and all modifications, variations, combinations, or equivalents within the scope of the present application. Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalent technologies, the present application is intended to include these changes and modifications.

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 the 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 operation period, automatically sensing the load and matching the multiple optimal operating speeds to generate a target operating speed; The upstream energy efficiency optimization control is performed through the variable frequency drive at the target operating speed.

2. A method for optimizing energy efficiency of special equipment according to claim 1, characterized in that: Inputting the multiple test loads into the variable frequency drive simulation model to perform different uplink speed tests and calculating corresponding energy efficiency indicators for optimization, 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 driving current and the generated heat; An optimized speed space is identified based on the multiple first energy efficiency indicators, and the operating speed is optimized according to the optimized speed space to generate a first optimal operating speed, and add the first optimal operating speed to the multiple optimal operating speeds.

3. A method for optimizing energy efficiency of special equipment according to claim 2, characterized in that: The method of identifying an optimized speed space based on the plurality of 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 indicator increases or decreases; 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.

4. A method for optimizing energy efficiency of special equipment according to claim 1, characterized in that: Also includes: Acquiring historical application record data of the target special equipment; Perform frequent clustering of uplink frequencies and passenger numbers 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 the peak time zone uplink frequency threshold and peak time zone passenger flow threshold; 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.

5. A method for optimizing energy efficiency of special equipment according to claim 4, characterized in that: Also includes: When the target special equipment is in the peak operation period, automatically sense the load and obtain 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.

6. A method for optimizing energy efficiency of special equipment according to claim 1, characterized in that: Performing upstream energy efficiency optimization control through the variable frequency drive at the target operating speed 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 through the smooth start-stop module.

7. A method for optimizing energy efficiency of special equipment according to claim 1, characterized in that: 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, 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 a stator, a rotor and a 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.

8. 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 7, the system comprising: A modeling module, wherein the modeling module is used to determine a variable frequency drive connected to a brake motor of a 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 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 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, wherein the matching module is used 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 period; 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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