Electric shovel fan control method and device, electric shovel and storage medium

By comprehensively analyzing the temperature and pressure difference inside the electric shovel shed, the operating parameters of the target fan were determined, enabling adaptive intelligent control of the electric shovel. This solved the shortcomings of single-point control in existing technologies, achieved precise control of the global heat load distribution of the electric shovel, and improved the stability and safety of the equipment.

CN121594015APending Publication Date: 2026-03-03ZOOMLION EARTHMOVING MASCH CO LTD +1
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Patent Information

Application Number
CN202511838936.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-08
Publication Date
2026-03-03

AI Technical Summary

Technical Problem

Existing electric shovel fan control methods rely on only a single measuring point, which makes it difficult to accurately reflect the actual heat load distribution of the electric shovel, leading to equipment performance degradation and unexpected shutdowns.

Method used

By comprehensively analyzing the temperature and pressure difference inside the electric shovel shed, the operating parameters of the target fan are determined, enabling adaptive intelligent control of the fan.

Benefits of technology

It enables precise control of the global heat load distribution of the electric shovel, improving the stability and safety of the equipment.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses an electric shovel fan control method and device, an electric shovel and a storage medium, and relates to the technical field of intelligent control of mining equipment. The method is applied to the electric shovel, the electric shovel comprises N fans, N is a positive integer larger than 1, the method comprises the steps that a target temperature value and pressure difference corresponding to the electric shovel are obtained, the target temperature value is used for representing the average temperature in an electric shovel machine shed, and the pressure difference is used for representing the air pressure difference inside and outside the electric shovel machine shed; according to the target temperature value and the pressure difference, target fans in the N fans and operation parameters of each target fan are determined; and controlling each target fan to operate based on the operation parameters of each target fan.
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Description

Technical Field

[0001] This application relates to the field of intelligent control technology for mining equipment, specifically to a control method, device, electric shovel, and storage medium for an electric shovel fan. Background Technology

[0002] Electric shovels are large pieces of machinery used in open-pit mines for extracting materials such as ore and rock. Under harsh conditions such as heavy loads and high dust levels, the operating temperature of electric shovels fluctuates significantly, which can easily lead to a decline in equipment performance and unexpected shutdowns.

[0003] To address the adverse effects of high temperatures, existing methods typically increase the fan speed for rapid cooling when any generator temperature rises. However, as a complex mechanical system, the electric shovel exhibits uneven internal heat load distribution. This control method, based on a single measuring point, struggles to accurately reflect the actual overall heat load distribution of the shovel, leading to a mismatch between control performance and real-world operating conditions. Summary of the Invention

[0004] The purpose of this application is to provide a method, device, electric shovel, and storage medium for controlling an electric shovel blower.

[0005] To achieve the above objectives, the first aspect of this application provides a method for controlling the blowers of an electric shovel. The method is applied to an electric shovel, which includes N blowers, where N is a positive integer greater than 1. The method includes: Obtain the target temperature value and pressure difference corresponding to the electric shovel. The target temperature value is used to characterize the average temperature inside the electric shovel shed, and the pressure difference is used to characterize the air pressure difference between the inside and outside of the electric shovel shed. Based on the target temperature and pressure difference, determine the target fan among the N fans, and the operating parameters of each target fan; The operation of each target wind turbine is controlled based on its operating parameters.

[0006] In this embodiment of the application, the target fan among N fans and the operating parameters of each target fan are determined based on the target temperature value and the pressure difference. This includes: when the target temperature value is less than a first temperature threshold and the pressure difference is greater than a pressure difference threshold, selecting A target fans from the N fans and determining the operating parameters of each target fan as a first set power; when the target temperature value is less than the first temperature threshold and the pressure difference is less than or equal to the pressure difference threshold, selecting B target fans from the N fans and determining the operating parameters of each target fan as a value between the first set power and a second set power, where A and B are positive integers greater than 1, A is less than or equal to B, and the first set power is less than the second set power.

[0007] In this embodiment of the application, the target fan among N fans and the operating parameters of each target fan are determined based on the target temperature value and the pressure difference. This includes: when the target temperature value is greater than or equal to a first temperature threshold and less than a second temperature threshold, and the pressure difference is greater than a pressure difference threshold, selecting C target fans from the N fans and determining the operating parameters of each target fan as a second set power; when the target temperature value is greater than or equal to the first temperature threshold and less than the second temperature threshold, and the pressure difference is less than or equal to a pressure difference threshold, selecting D target fans from the N fans and determining the operating parameters of each target fan as a value between the second set power and a third set power, where C and D are positive integers greater than 1, C is less than or equal to D, and the second set power is less than the third set power.

[0008] In this embodiment of the application, the method further includes: determining the target fan among the N fans and the operating parameters of each target fan based on the target temperature value and the pressure difference, including: selecting E target fans from the N fans when the target temperature value is greater than or equal to a first temperature threshold and the pressure difference is greater than a pressure difference threshold, and determining the operating parameters of each target fan as a third set power; selecting F target fans from the N fans when the target temperature value is greater than or equal to the first temperature threshold and the pressure difference is less than or equal to the pressure difference threshold, and determining the operating parameters of each target fan as a value greater than the third set power, wherein E and F are positive integers greater than 1, and E is less than or equal to F.

[0009] In this embodiment of the application, the method further includes: determining the data change rate of the target temperature value and the pressure difference within a preset time period; if the data change rate is greater than a preset change rate threshold, determining the predicted temperature value and the predicted pressure difference at a preset time node based on the data change rate; and determining the target fan among the N fans and the operating parameters of each target fan based on the predicted temperature value and the predicted pressure difference. The operation of each target wind turbine is controlled based on its operating parameters.

[0010] In this embodiment of the application, the method further includes: obtaining temperature values ​​at multiple locations within the electric shovel, and the average distance between each location and N fans; taking the reciprocal of the average distance and normalizing it to obtain the data weight of each location, and weighting the temperature values ​​of all locations based on the data weight to obtain the target temperature value.

[0011] In this embodiment of the application, the method further includes: when the temperature value or pressure difference at any location is greater than a preset safety threshold, determining that N fans are all target fans, and the operating parameters of each target fan are the maximum set power.

[0012] A second aspect of this application provides an electric shovel fan control device, comprising: a parameter acquisition module for acquiring a target temperature value and pressure difference corresponding to the electric shovel, wherein the target temperature value is used to characterize the average temperature inside the electric shovel shed, and the pressure difference is used to characterize the air pressure difference inside and outside the electric shovel shed; a parameter determination module for determining a target fan among N fans and the operating parameters of each target fan based on the target temperature value and pressure difference; and a fan control module for controlling the operation of each target fan based on the operating parameters of each target fan.

[0013] A third aspect of this application provides an electric shovel, including: an electric shovel fan control device.

[0014] A fourth aspect of this application provides a machine-readable storage medium storing instructions for causing a machine to perform an electric shovel blower control method.

[0015] The above technical solution comprehensively analyzes the average temperature and pressure difference inside the electric shovel shed to determine the required target fan and its operating parameters, thereby achieving adaptive intelligent control of the fan. Compared to traditional control methods that rely on only a single measuring point, the environmental data used in this method is more globally representative and can more realistically reflect the actual operating conditions of the electric shovel. The accuracy of the control strategy generated based on this is significantly improved, thus achieving more precise and effective regulation of the current operating conditions.

[0016] Other features and advantages of the embodiments of this application will be described in detail in the following detailed description section. Attached Figure Description

[0017] The accompanying drawings are provided to further illustrate the embodiments of this application and form part of the specification. They are used together with the following detailed description to explain the embodiments of this application, but do not constitute a limitation on the embodiments of this application. In the drawings: Figure 1 A schematic flowchart of an electric shovel blower control method according to an embodiment of this application is shown. Figure 2 A simplified flowchart illustrating the electric shovel blower control method according to an embodiment of this application is shown. Figure 3 This schematic diagram illustrates a structural block diagram of an electric shovel blower control device according to an embodiment of the present application; Figure 4 The diagram illustrates the internal structure of a computer device according to an embodiment of this application. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only for illustration and explanation of the embodiments of this application and are not intended to limit the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0019] Figure 1 A schematic flowchart illustrating a method for controlling an electric shovel blower according to an embodiment of this application is shown. Figure 1 As shown in the figure, this application provides a method for controlling the blowers of an electric shovel, applied to an electric shovel, which includes N blowers, where N is a positive integer greater than 1. The method may include the following steps: Step 101: Obtain the target temperature value and pressure difference corresponding to the electric shovel. The target temperature value is used to characterize the average temperature inside the electric shovel shed, and the pressure difference is used to characterize the air pressure difference between the inside and outside of the electric shovel shed.

[0020] Understandably, to accurately reflect the overall heat load distribution of the electric shovel, this solution requires obtaining the target temperature value. This value is a specific numerical value representing the average temperature of the shovel shed, obtained through comprehensive calculation based on temperature measurement data from multiple locations within the shovel shed, and reflects the target temperature level of the shed. To ensure that pollutants such as mining dust do not enter the interior of the electric shovel and to prevent dust from affecting the electrical control cabinet and electrical components, pressure regulation is needed to maintain a higher air pressure inside the shovel than outside. Therefore, this solution also needs to obtain the pressure difference, that is, the pressure difference between the inside of the electric shovel shed and the external atmospheric pressure.

[0021] Optionally, multiple monitoring locations can be set up, focusing on areas with dense heat source equipment and key airflow nodes, such as control cabinets, motors, and frequency converter cabinets. Appropriate types of temperature sensors are configured for each monitoring location. In practical applications, stored temperature and pressure values ​​can be retrieved from memory, or real-time temperature and pressure values ​​can be directly received from the sensors.

[0022] Furthermore, considering the varying contributions of data from different monitoring locations to the overall equipment status assessment, corresponding data weights can be assigned based on location importance. For example, weight values ​​can be set by combining factors such as the distance between the location and the wind turbine, and the safety risks of the surrounding area. The higher the weight, the greater the impact of the data at that location on the final decision. Specific weight assignment mechanisms can be set manually or calculated automatically.

[0023] In one feasible implementation, the temperature values ​​at multiple locations within the electric shovel and the average distance between each location and N fans are obtained; the reciprocal of the average distance is taken and normalized to obtain the data weight for each location; and the temperature values ​​at all locations are weighted based on the data weight to obtain the target temperature value.

[0024] First, the three-dimensional coordinates of each monitoring location and all fans are measured. For any given monitoring location, the straight-line distance between it and each fan is calculated. These distances are summed and divided by the total number of fans to obtain the average distance for that monitoring location. Then, the reciprocal of the average distance is taken to obtain the initial weight for that monitoring location. Finally, the initial weights of all monitoring locations are summed, and then the initial weights of each monitoring location are divided by this sum for normalization, resulting in the final data weights within the range [0,1]. Then, the temperature value at each location is multiplied by its corresponding data weight, and all products are summed to obtain the weighted target temperature value, which characterizes the overall temperature state of the electric shovel.

[0025] The above scheme objectively quantifies the weight allocation through spatial distance, enabling the weight value to accurately reflect the degree of influence of the wind turbine. Compared with subjective experience judgment, it is more scientific and reliable, thus providing a scientific basis for the condition monitoring and evaluation of electric shovels, and making the final result have good spatial representativeness.

[0026] Step 102: Based on the target temperature value and pressure difference, determine the target fan among the N fans, and the operating parameters of each target fan.

[0027] Step 103: Control the operation of each target wind turbine based on its operating parameters.

[0028] Optionally, independent parameter control can be adopted, that is, the target fan is determined based on whether the target temperature value exceeds the temperature threshold, and the fan operating parameters are determined based on whether the pressure difference exceeds the pressure difference threshold.

[0029] Alternatively, a combined strategy mapping can be employed, which involves pre-establishing a mapping relationship between temperature-pressure difference combinations and fan control strategies. During actual operation, this mapping relationship is directly matched based on the target temperature and pressure difference to obtain the corresponding fan control strategy, thereby determining the target fan and its operating parameters. Finally, the target fan is activated and controlled to operate according to the set parameters, achieving more efficient fan operation and saving energy consumption.

[0030] Specifically, based on the electric shovel's design specifications, historical operating data, and expert experience, one or more temperature and differential pressure thresholds are pre-set to divide the continuous temperature and differential pressure ranges into several sub-ranges. Then, a mapping table is constructed, whose input is all possible combinations of temperature and differential pressure sub-ranges, and whose output is the uniquely corresponding fan control strategy. During actual operation, based on the acquired target temperature and differential pressure values, the sub-range to which they belong is determined. By querying the mapping table, the corresponding fan control strategy can be obtained, and the target fan and its operating parameters can be determined accordingly.

[0031] For example, a first temperature threshold (e.g., 50°C), a second temperature threshold (e.g., 70°C), a differential pressure threshold (e.g., 150Pa), a first set power (e.g., 50% power), a second set power (75% power), and a third set power (100% power) are preset.

[0032] Combination 1 (Low Temperature + High Pressure Difference): When the target temperature is less than the first temperature threshold and the pressure difference is greater than the pressure difference threshold, select A target fans from N fans and determine the operating parameters of each target fan as the first set power (50%).

[0033] Combination 2 (Low Temperature + Low Pressure Difference): When the target temperature is less than the first temperature threshold and the pressure difference is less than or equal to the pressure difference threshold, select B target fans from N fans and determine the operating parameters of each target fan as the value between the first set power and the second set power (e.g., 60%).

[0034] Combination 3 (Medium Temperature + High Pressure Difference): When the target temperature is greater than or equal to the first temperature threshold and less than the second temperature threshold, and the pressure difference is greater than the pressure difference threshold, select C target fans from N fans and determine the operating parameters of each target fan as the second set power (75%).

[0035] Combination 4 (Medium Temperature + Low Pressure Difference): When the target temperature is greater than or equal to the first temperature threshold and less than the second temperature threshold, and the pressure difference is less than or equal to the pressure difference threshold, select D target fans from N fans, and determine the operating parameters of each target fan as the value between the second set power and the third set power (e.g., 85%).

[0036] Combination 5 (High Temperature + High Pressure Difference): When the target temperature value is greater than or equal to the first temperature threshold and the pressure difference is greater than the pressure difference threshold, select E target fans from N fans and determine the operating parameters of each target fan as the third set power (100%). Combination 6 (High Temperature + Low Pressure Difference): When the target temperature value is greater than or equal to the first temperature threshold and the pressure difference is less than or equal to the pressure difference threshold, select F target fans from N fans and determine the operating parameters of each target fan to be greater than the third set power value (e.g., 110%, in which case the fan overload protection needs to be enabled).

[0037] In this system, A, B, C, D, E, and F are all positive integers greater than 1, where A is less than or equal to B, C is less than or equal to D, and E is less than or equal to F. For example, when the total number of fans N=3, A=1, B=2, C=3, D=3, E=3, and F=3 can be set. When the total number of fans N=4, A=2, B=3, C=4, D=4, E=4, and F=4 can be set.

[0038] For combinations 2, 4, and 6 where the differential pressure is less than or equal to the differential pressure threshold, linear interpolation can be used to determine the set power, achieving a continuous mapping between differential pressure and power. Specifically, based on the proportion by which the current differential pressure exceeds the differential pressure threshold, a corresponding power value relative to the set power can be calculated as an operating parameter. Taking combination 2 as an example, its operating power should be between the first set power and the second set power. Based on the proportion by which the current differential pressure exceeds the differential pressure threshold, a precise power value between the two set power values ​​can be calculated. This setting allows for smooth adjustment of operating parameters within a preset set power range based on continuous changes in differential pressure, achieving fine control of continuously variable transmission and improving stability.

[0039] For the six typical operating conditions mentioned above, an optimal control parameter combination table that has been verified in the field has been established. This mapping relationship supports online modification and continuous optimization, ensuring that the control strategy always keeps pace with actual operating requirements.

[0040] In addition, a fan control strategy based on rate of change prediction can be introduced. The specific implementation steps are as follows: First, a preset time period (e.g., 5 minutes) is set as the calculation window for the data rate of change. The temperature rate of change is calculated based on multiple target temperature values ​​within this preset time period, and the pressure difference rate of change is calculated using the same method. The calculated data rate of change is compared with a preset rate of change threshold: if the temperature rate of change does not exceed the temperature rate of change threshold and the pressure difference rate of change does not exceed the pressure difference rate of change threshold, the state change is determined to be stable, and the conventional control process based on the current value continues. If either the temperature rate of change or the pressure difference rate of change exceeds its corresponding threshold, it is determined that the rate of change is out of limit, and the predictive control process is triggered. At this time, the linear extrapolation method is used to predict the predicted temperature value and predicted pressure difference at a preset time node (e.g., 1 minute later). The calculation formula is: predicted value = current value + rate of change × prediction duration. Subsequently, based on the predicted temperature value and predicted pressure difference, the required target fan and operating parameters are determined in advance, and corresponding control is executed. This solution, by introducing feedforward control, significantly improves the ability to cope with dynamic loads and sudden situations, and maximizes the safe and stable operation of the electric shovel.

[0041] In addition, a safety threshold can be preset. When the temperature or pressure difference at any location exceeds the preset safety threshold, a safety emergency mode will be immediately triggered. In this mode, N fans are designated as target fans, and the operating parameters of each target fan are set to the maximum set power. An alarm signal is also activated to provide a notification. If this state persists for a specified period of time without being resolved, automatic power-off will be performed to ensure equipment safety.

[0042] In this embodiment, considering the uneven distribution of heat load inside the electric shovel and the inability of a single measuring point to accurately characterize the overall operating condition, a globally representative target temperature value is obtained by comprehensively collecting local data and combining the weight of each location. This reduces misjudgments caused by sensor false alarms or sudden increases in local temperature. Based on this, a temperature-pressure difference coupling analysis mechanism is introduced to establish a collaborative control strategy with temperature and pressure difference as dual objectives. This strategy not only achieves precise regulation of the electric shovel's operating temperature, keeping it always within the optimal operating range, but also effectively prevents the intrusion of external dust and other contaminants by maintaining a stable positive pressure environment inside the shed, ensuring the long-term reliable operation of the electrical equipment.

[0043] Figure 1 This is a flowchart illustrating the electric shovel blower control method in one embodiment. It should be understood that, although... Figure 1 The steps in the flowchart are shown sequentially as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise explicitly stated herein, there is no strict order in which these steps are executed, and they can be performed in other orders. Figure 1At least a part of the steps may include multiple sub-steps or multiple stages, and these sub-steps or stages do not necessarily need to be completed at the same moment. Instead, they can be executed at different moments, and the execution order of these sub-steps or stages does not necessarily need to be sequential. Instead, they can be executed alternately or in rotation with at least a part of other steps or sub-steps or stages of other steps.

[0044] Exemplarily, Figure 2 A brief flow schematic diagram of an electric shovel fan control method is provided. Specifically: The temperature inside the machine shed is divided into three temperature ranges: low, medium, and high, which are represented by T_low, T_medium, and T_high respectively. The threshold value of the pressure difference between the inside and outside of the machine shed is represented by Pe. The set power of the fan includes three levels: low, medium, and high.

[0045] First, determine the target temperature value T (°C) based on the temperature values at multiple positions inside the electric shovel machine shed, and obtain the pressure difference P (MPa) between the inside and outside of the machine shed.

[0046] Secondly, determine the target fan and operating parameters: When T < T_low and P > Pe, select A target fans, and the power is low power; When T < T_low and P ≤ Pe, select B target fans, and the power is a value between low power and medium power; When T_low ≤ T < T_high and P > Pe, select C target fans, and the power is medium power; When T_low ≤ T < T_high and P ≤ Pe, select D target fans, and the power is a value between medium power and high power; When T ≥ T_high and P > Pe, select E target fans, and the power is high power; When T ≥ T_high and P ≤ Pe, select F target fans, and the power is set to a value greater than high power.

[0047] Among them, when the total number of fans N = 3, A = 1, B = 2, C = 3, D = 3, E = 3, F = 3 can be set. When the total number of fans N = 4, A = 2, B = 3, C = 4, D = 4, E = 4, F = 4 can be set.

[0048] Finally, control the target fans to work according to the operating parameters.

[0049] The system re-detects the temperature T inside the machine shed and the pressure difference P between the inside and outside of the machine shed, and repeats the above control process to achieve continuous adaptive adjustment.

[0050] In one embodiment, as Figure 3 shown, an electric shovel fan control device 300 is provided, including a parameter acquisition module, a parameter determination module, and a fan control module, where: The parameter acquisition module 301 is used to acquire the target temperature value and pressure difference corresponding to the electric shovel. The target temperature value is used to characterize the average temperature inside the electric shovel shed, and the pressure difference is used to characterize the air pressure difference between the inside and outside of the electric shovel shed. The parameter determination module 302 is used to determine the target fan among the N fans, as well as the operating parameters of each target fan, based on the target temperature value and pressure difference. The fan control module 303 is used to control the operation of each target fan based on the operating parameters of each target fan.

[0051] The electric shovel blower control device includes a processor and a memory. The parameter acquisition module, parameter determination module, and blower control module mentioned above are all stored as program units in the memory. The processor executes the program modules stored in the memory to implement the corresponding functions.

[0052] The processor contains a kernel, which retrieves the corresponding program unit from memory. One or more kernels can be configured, and the control method for the electric shovel blower is achieved by adjusting the kernel parameters.

[0053] The memory may include non-permanent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0054] This application provides an electric shovel, including the aforementioned electric shovel blower control device.

[0055] This application provides a storage medium storing a program that, when executed by a processor, implements the above-described electric shovel blower control method.

[0056] This application provides a processor for running a program, wherein the program executes the above-described electric shovel blower control method during runtime.

[0057] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 4As shown. The computer device includes a processor A01, a network interface A02, a memory (not shown), and a database (not shown) connected via a system bus. The processor A01 provides computing and control capabilities. The memory includes internal memory A03 and a non-volatile storage medium A04. The non-volatile storage medium A04 stores an operating system B01, a computer program B02, and a database (not shown). The internal memory A03 provides an environment for the operation of the operating system B01 and the computer program B02 stored in the non-volatile storage medium A04. The database stores target temperature values, etc. The network interface A02 is used for communication with external terminals via a network connection. When executed by the processor A01, the computer program B02 implements a method for controlling an electric shovel blower.

[0058] Those skilled in the art will understand that Figure 4 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0059] This application provides a computer (electronic) device, which includes a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, it implements the steps of any of the above electric shovel blower control methods.

[0060] This application also provides a computer program product that, when executed on a data processing device, is suitable for executing a program that initializes the steps of a method for controlling an electric shovel blower.

[0061] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0062] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0063] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0064] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0065] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0066] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0067] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0068] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0069] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method for controlling an electric shovel blower, characterized in that, The method is applied to an electric shovel, which includes N fans, where N is a positive integer greater than 1. The method includes: The target temperature value and pressure difference corresponding to the electric shovel are obtained. The target temperature value is used to characterize the average temperature inside the electric shovel shed, and the pressure difference is used to characterize the air pressure difference inside and outside the electric shovel shed. Based on the target temperature value and the pressure difference, determine the target fan among the N fans, and the operating parameters of each target fan; The operation of each target wind turbine is controlled based on its operating parameters.

2. The electric shovel blower control method according to claim 1, characterized in that, Based on the target temperature value and the pressure difference, determine the target fan among the N fans, and the operating parameters of each target fan, including: If the target temperature is less than the first temperature threshold and the pressure difference is greater than the pressure difference threshold, select A target fans from the N fans and determine the operating parameters of each target fan as the first set power. When the target temperature value is less than the first temperature threshold and the pressure difference is less than or equal to the pressure difference threshold, B target fans are selected from the N fans, and the operating parameters of each target fan are determined to be a value between the first set power and the second set power, where A and B are positive integers greater than 1, A is less than or equal to B, and the first set power is less than the second set power.

3. The electric shovel blower control method according to claim 1, characterized in that, Based on the target temperature value and the pressure difference, determine the target fan among the N fans, and the operating parameters of each target fan, including: If the target temperature value is greater than or equal to the first temperature threshold and less than the second temperature threshold, and the pressure difference is greater than the pressure difference threshold, then select C target fans from the N fans, and determine the operating parameters of each target fan as the second set power. When the target temperature value is greater than or equal to the first temperature threshold and less than the second temperature threshold, and the pressure difference is less than or equal to the pressure difference threshold, D target fans are selected from the N fans, and the operating parameters of each target fan are determined to be a value between the second set power and the third set power, where C and D are positive integers greater than 1, C is less than or equal to D, and the second set power is less than the third set power.

4. The electric shovel blower control method according to claim 1, characterized in that, Based on the target temperature value and the pressure difference, determine the target fan among the N fans, and the operating parameters of each target fan, including: If the target temperature value is greater than or equal to the first temperature threshold and the pressure difference is greater than the pressure difference threshold, select E target fans from the N fans and determine the operating parameters of each target fan as the third set power. When the target temperature value is greater than or equal to the first temperature threshold and the pressure difference is less than or equal to the pressure difference threshold, F target fans are selected from the N fans, and the operating parameters of each target fan are determined to be greater than the third set power value, where E and F are positive integers greater than 1, and E is less than or equal to F.

5. The electric shovel blower control method according to claim 1, characterized in that, The method further includes: Determine the rate of change of the target temperature value and the pressure difference within a preset time period; If the rate of change of the data is greater than a preset rate of change threshold, the predicted temperature value and the predicted pressure difference at a preset time node are determined based on the rate of change of the data. Based on the predicted temperature value and the predicted pressure difference, determine the target fan among the N fans, and the operating parameters of each target fan; The operation of each target wind turbine is controlled based on its operating parameters.

6. The electric shovel blower control method according to claim 1, characterized in that, The method further includes: The temperature values ​​at multiple locations within the electric shovel, and the average distance between each location and the N fans, are obtained. The average distance is reciprocal and normalized to obtain the data weight for each location. The temperature values ​​of all locations are then weighted based on the data weights to obtain the target temperature value.

7. The electric shovel blower control method according to claim 6, characterized in that, The method further includes: If the temperature value or pressure difference at any location is greater than a preset safety threshold, all N fans are determined to be target fans, and the operating parameters of each target fan are the maximum set power.

8. A control device for an electric shovel blower, characterized in that, include: The parameter acquisition module is used to acquire the target temperature value and pressure difference corresponding to the electric shovel. The target temperature value is used to characterize the average temperature inside the electric shovel shed, and the pressure difference is used to characterize the air pressure difference inside and outside the electric shovel shed. The parameter determination module is used to determine the target fan among the N fans, and the operating parameters of each target fan, based on the target temperature value and the pressure difference. The wind turbine control module is used to control the operation of each target wind turbine based on the operating parameters of each target wind turbine.

9. An electric shovel, characterized in that, The electric shovel includes the electric shovel fan control device according to claim 8.

10. A machine-readable storage medium storing instructions thereon, characterized in that, When executed by a processor, this instruction causes the processor to be configured to perform the electric shovel blower control method according to any one of claims 1 to 7.