Post-curing energy-saving system and method for wind power blade

Abstract

The invention provides a post-curing energy-saving system and a post-curing energy-saving method for a wind power blade. The post-curing energy-saving system for the wind power blade comprises a wireless temperature sensor and a state monitoring device, and the wireless temperature sensor and the state monitoring device are used for collecting multi-point temperature data Ti (i = 1, 2, 3,..., n) of a wind power blade mold and the state Sh of a mold heating system and transmitting the multi-point temperature data Ti (i = 1, 2, 3,..., n) and the state Sh to a central processing unit. According to the post-curing energy-saving system for the wind power blade and the method of the post-curing energy-saving system, real-time acquisition and transmission of multi-point temperatures of a wind power blade mold are realized by introducing a wireless temperature sensor and a state monitoring device, and high efficiency and reliability of data transmission are ensured by utilizing a LoRa low-power protocol. The central processing unit adopts a process logic control model and a dynamic energy efficiency optimization model, dynamically adjusts the working parameters of the heating and vacuum system according to the real-time temperature and the equipment operation state, and optimizes the energy use efficiency and the temperature distribution uniformity in the curing process.

Description

Technical Field

[0001] The present invention relates to the technical field of curing energy-saving systems, and in particular to a post-curing energy-saving system and method for wind turbine blades. Background Art

[0002] With the increase in the size of wind turbine blades and the demand for lightweight, the requirements for FRP molding process in blade manufacturing are becoming increasingly stringent, especially for the TG value (glass transition temperature of FRP). In order to meet this requirement, manufacturers usually take measures to accurately control the rubber ratio and heating temperature and duration, and use a vacuum environment to ensure the molding quality. In the current process, the heating system and vacuum system are key factors in ensuring quality. Manufacturers generally extend the heating time to ensure the safety factor and quality of the blades. Although this approach ensures the molding effect of FRP to a certain extent, it also brings problems such as high energy consumption, increased equipment maintenance costs, and production line time occupancy, affecting the overall production efficiency and cost.

[0003] The main problem with current technology is that it is impossible to accurately control the heating and insulation time. Usually, the heating time is extended to ensure quality, which leads to huge energy waste and reduced production efficiency. The existing technology is still relatively traditional in the control system, lacks intelligent management methods, and cannot monitor and adjust the status of the heating and vacuum systems in real time, nor can it issue alarms and push information in time, which affects the smoothness and accuracy of production. The control accuracy of temperature and heating status during the production process is low, and the curing process cannot be completed in the shortest time, resulting in too long production line time, which increases the manufacturing cost of the blades and brings greater operational pressure to the company. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention provides a post-curing energy-saving system and method for wind turbine blades, which solves the problem that the state of the heating and vacuum systems cannot be monitored and adjusted in real time, affecting the smoothness and accuracy of production; and the control accuracy of the heating state is low, and the curing process cannot be completed in the shortest time.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0006] A post-curing energy-saving system for wind turbine blades, comprising an input module: a wireless temperature sensor and a state monitoring device, collecting multi-point temperature data T of a wind turbine blade mold i (i=1,2,3,…,n) and mold heating system status S h , and transmitted to the central processing unit;

[0007] Central processing unit: through the process logic control model and user program, determine whether the overall state of the mold meets the set requirements:

[0008] T avg ≥T target

[0009] Among them, T avg is the average temperature of the mold, T target is the target temperature;

[0010] According to the user set the insulation time t hold , start the timer:

[0011] t start ≤t≤t start +t hold

[0012] When the conditions are met, a control signal is output to shut down the heating system, vacuum pump and blade root fan;

[0013] Output module: controls the operating status of the vacuum spring, electric heating system and blade root fan through relays; T(t) and equipment status S(t);

[0014] Alarm module: When the timing ends or an abnormality occurs, an alarm push is triggered:

[0015] Alarm trigger condition: T avg <T target or S h ≠Normal.

[0016] Preferably, the wireless temperature sensor transmits T via the LoRa low power consumption protocol i , and the signal quality is ensured by the following signal transmission formula:

[0017] P loss =P tx -P rx ,P loss ≤P threshold

[0018] Among them, P tx and P rx are the transmit and receive powers respectively.

[0019] Preferably, the central processing unit has a built-in dynamic energy efficiency optimization model to dynamically adjust the equipment operation state according to the real-time power P(t):

[0020]

[0021] Among them, E total is the total energy consumption of the equipment, and the energy consumption is minimized by adjusting P(t).

[0022] Preferably, the user program monitors the temperature curve T(t) and countdown information t of the mold in real time. hold -t, provides dynamic feedback to operators, the alarm module detects abnormal conditions in real time through logical judgment formulas:

[0023] Alarm conditions: or S h =0

[0024] Among them, T min and T max The temperature threshold set by the user.

[0025] Preferably, the input module supports multi-point distributed temperature acquisition {T i}, the temperature gradient is calculated by the following formula

[0026]

[0027] The temperature gradient is used to determine the uniformity of the mold temperature distribution.

[0028] Preferably, the relay control of the output module complies with the following switch logic:

[0029]

[0030] The system supports recording and storing the temperature curve T(t), insulation time t hold And energy consumption data E total , and automatically generate production reports. The communication module realizes remote management through the following signal transmission logic:

[0031] Data packet format: Header+Payload+CRC, ensuring the integrity and reliability of data transmission.

[0032] Preferably, the central processing unit can automatically adjust the temperature according to the ambient temperature T env Adjust the heating power P heat , and its calculation formula is:

[0033] P heat = k·(T target -T env )

[0034] Wherein, k is the power coefficient of the heating system. The system supports multiple process modes, including low-temperature preheating mode, high-temperature insulation mode and rapid demoulding mode, to meet the production requirements of different blades. The control logic of the output module supports distributed regulation, and temperature uniformity is achieved through the regional heating power allocation formula:

[0035]

[0036] Among them, P zone is the power of a single region, and n is the number of regions.

[0037] A post-curing energy-saving method for wind turbine blades includes the following steps: data collection, mold state judgment, dynamic energy efficiency optimization, output control, abnormality detection and alarm, temperature gradient analysis, ambient temperature adaptive adjustment, record and report generation, and process mode support.

[0038] The present invention provides a post-curing energy-saving system and method for wind turbine blades.

[0039] Beneficial effects:

[0040] The post-curing energy-saving system and method for wind turbine blades realizes the real-time collection and transmission of multi-point temperatures of wind turbine blade molds by introducing wireless temperature sensors and status monitoring devices, and uses the LoRa low-power protocol to ensure the efficiency and reliability of data transmission. The central processing unit adopts a process logic control model and a dynamic energy efficiency optimization model to dynamically adjust the working parameters of the heating and vacuum systems according to the real-time temperature and equipment operating status, thereby optimizing the energy efficiency and temperature distribution uniformity of the curing process. Compared with traditional solutions, the precise control capability of the heating state is significantly improved, and the curing process is completed in the shortest time, thereby improving the fluency and efficiency of production.

[0041] The present invention establishes a complete intelligent management system by combining user programs, alarm modules and output modules. The user program supports real-time monitoring of the mold's temperature curve and insulation countdown information, and can generate a complete production report of temperature distribution and energy consumption; the alarm module can detect abnormal conditions in a timely manner through logical judgment, and remind operators through multiple channels to effectively reduce production risks. The system supports multiple process modes, and can adaptively adjust the heating power according to the ambient temperature to maximize energy-saving effects, reduce production costs, and meet the production needs of different blades. It has extremely high versatility and promotion value. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a schematic diagram of the internal structure of the present invention.

[0043] Figure 2 Module logic diagram for controlling communication.

[0044] Figure 3 This is the logic diagram of the timer alternating control.

[0045] Figure 4 This is the logic diagram of the counter.

[0046] Figure 5 This is a comparator logic diagram.

[0047] Figure 6 Logic for sending and receiving data for the module.

[0048] Figure 7 Input and data processing diagram.

[0049] Figure 8 For the timer and output control diagram.

[0050] Fig. 9 This is a data range determination chart. DETAILED DESCRIPTION

[0051] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0052] like Figure 1-9 As shown, an embodiment of the present invention provides a post-curing energy-saving system for a wind turbine blade, including:

[0053] Input module: including wireless temperature sensors and status monitoring devices. Wireless temperature sensors are arranged at key points such as blade tip, blade root, leading and trailing edge joint seams to ensure comprehensive collection of temperature data and collect multi-point temperature data of wind turbine blade molds. i (i=1,2,3,…,n) and mold heating system status S h , and transmitted to the central processing unit, the wireless temperature sensor transmits T via the LoRa low-power protocol i , and the signal quality is ensured by the following signal transmission formula:

[0054] P loss =P tx -P rx ,P loss ≤P threshold

[0055] Among them, P tx and P rx The input module supports multi-point distributed temperature acquisition {T i}, the temperature gradient is calculated by the following formula

[0056]

[0057] The temperature gradient is used to determine the uniformity of the mold temperature distribution;

[0058] Central processing unit: through the process logic control model and user program, determine whether the overall state of the mold meets the set requirements:

[0059] T avg ≥T target

[0060] Among them, T avg is the average temperature of the mold, T target The central processing unit can automatically adjust the target temperature according to the ambient temperature T env Adjust the heating power P heat , and its calculation formula is:

[0061] P heat = k·(T target -T env )

[0062] Where k is the power coefficient of the heating system. The system supports multiple process modes, including low-temperature preheating mode, high-temperature insulation mode and rapid demoulding mode, to meet the production requirements of different blades. The control logic of the output module supports distributed regulation and achieves temperature uniformity through the regional heating power allocation formula:

[0063]

[0064] Among them, P zone is the power of a single zone, n is the number of zones, and the user program monitors the temperature curve T(t) and countdown information t of the mold in real time hold -t, provides dynamic feedback to operators, and the alarm module detects abnormal conditions in real time through logical judgment formulas:

[0065] Alarm conditions: or S h =0

[0066] Among them, T min and T max For the temperature threshold set by the user, the central processing unit has a built-in dynamic energy efficiency optimization model to dynamically adjust the device operation status according to the real-time power P(t):

[0067]

[0068] Among them, E total is the total energy consumption of the equipment, and the energy consumption is minimized by adjusting P(t);

[0069] According to the user set the insulation time t hold , start the timer:

[0070] t start ≤t≤t start +t hold

[0071] When the conditions are met, a control signal is output to shut down the heating system, vacuum pump and blade root fan;

[0072] Output module: Controls the operating status of the vacuum spring, electric heating system and blade root fan through relays; T(t) and equipment status S(t). The relay control of the output module complies with the following switch logic:

[0073]

[0074] The system supports recording and storing the temperature curve T(t) and holding time t of each production process. hold And energy consumption data E total , and automatically generate production reports. The communication module realizes remote management through the following signal transmission logic:

[0075] Data packet format: Header+Payload+CRC, ensuring the integrity and reliability of data transmission;

[0076] Alarm module: When the timing ends or an abnormality occurs, an alarm push is triggered:

[0077] Alarm trigger condition: T avg <T target or S h ≠Normal.

[0078] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A post-curing energy-saving system for wind turbine blades, characterized in that: include: Input module: including wireless temperature sensor and status monitoring device, collecting multi-point temperature data of wind turbine blade mold i (i=1,2,3,…,n) and mold heating system status S h , and transmitted to the central processing unit; Central processing unit: through the process logic control model and user program, determine whether the overall state of the mold meets the set requirements: Among them, T avg is the average temperature of the mold, T target is the target temperature; According to the user set the insulation time t hold , start the timer: t start ≤t≤t start +t hold When the conditions are met, a control signal is output to shut down the heating system, vacuum pump and blade root fan; Output module: controls the operating status of the vacuum spring, electric heating system and blade root fan through relays; T(t) and equipment status S(t); Alarm module: When the timing ends or an abnormality occurs, an alarm push is triggered: Alarm trigger condition: T avg <T target or S h ≠Normal.

2. A post-curing energy-saving system for wind turbine blades according to claim 1, characterized in that: The wireless temperature sensor transmits T via the LoRa low power protocol i , and the signal quality is ensured by the following signal transmission formula: P loss =P tx -P rx ,P loss ≤P threshold Among them, P tx and P rx are the transmit and receive powers respectively.

3. A post-curing energy-saving system for wind turbine blades according to claim 1, characterized in that: The central processing unit has a built-in dynamic energy efficiency optimization model to dynamically adjust the equipment operation status according to the real-time power P(t): Among them, E total is the total energy consumption of the equipment, and the energy consumption is minimized by adjusting P(t).

4. A post-curing energy-saving system for wind turbine blades according to claim 1, characterized in that: The user program monitors the mold temperature curve T(t) and countdown information t in real time. hold -t, provides dynamic feedback to operators, the alarm module detects abnormal conditions in real time through logical judgment formulas: Alarm conditions: or S h =0 Among them, T min and T max The temperature threshold set by the user.

5. The post-curing energy-saving system for wind turbine blades according to claim 1, characterized in that: The input module supports multi-point distributed temperature acquisition {T i }, the temperature gradient is calculated by the following formula The temperature gradient is used to determine the uniformity of the mold temperature distribution.

6. A post-curing energy-saving system for wind turbine blades according to claim 1, characterized in that: The relay control of the output module complies with the following switching logic: The system supports recording and storing the temperature curve T(t), insulation time t hold And energy consumption data E total , and automatically generate production reports. The communication module realizes remote management through the following signal transmission logic: Data packet format: Header+Payload+CRC, ensuring the integrity and reliability of data transmission.

7. A post-curing energy-saving system for wind turbine blades according to claim 1, characterized in that: The central processing unit can automatically adjust the ambient temperature T env Adjust the heating power P heat , and its calculation formula is: P heat =k·(T target -T env ) Wherein, k is the power coefficient of the heating system. The system supports multiple process modes, including low-temperature preheating mode, high-temperature insulation mode and rapid demoulding mode, to meet the production requirements of different blades. The control logic of the output module supports distributed regulation, and temperature uniformity is achieved through the regional heating power allocation formula: Among them, P zone is the power of a single region, and n is the number of regions.

8. A post-curing energy-saving method for wind turbine blades, characterized in that: The following steps are involved: Data collection, mold status judgment, dynamic energy efficiency optimization, output control, abnormal detection and alarm, temperature gradient analysis, adaptive adjustment of ambient temperature, record and report generation, and process mode support.

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