Prediction method for preventive maintenance index of underground air door and control system thereof

Abstract

The invention relates to an underground air door preventive maintenance index prediction method and a control system thereof, and belongs to the technical field of underground air door preventive maintenance. The prediction method comprises the steps of obtaining current measurement values of parameters, related to preventive maintenance, of a target air door, and calculating the preventive maintenance index of the target air door based on the current measurement values and a total influence factor; and determining a predicted value of the next-stage parameter so as to determine a preventive maintenance index of the next stage of the target air door. The control system adopts a data acquisition module, a calculation module, a parameter prediction module, a decision control module and a man-machine interaction module to provide support for the prediction method. According to the method, the preventive maintenance index of the next stage can be predicted according to the currently measured parameters related to preventive maintenance, so that the preventive maintenance strategy of the target air door is adjusted according to the preventive maintenance index of the next stage, and reliable operation of the target air door is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of underground damper preventive maintenance, and in particular to a method for predicting an underground damper preventive maintenance index and a control system thereof. Background Art

[0002] Preventive maintenance (PM) refers to maintenance activities performed according to a pre-defined plan or specified technical specifications to prevent equipment performance degradation or reduce the probability of equipment failure. It is a proactive equipment maintenance strategy that primarily involves regular inspection, maintenance, cleaning, lubrication, adjustment, and replacement of wearing parts to proactively identify and resolve potential problems. This extends equipment life, improves reliability and efficiency, and ensures continuous and stable operation.

[0003] With advancements in coal mining technology, mine production continues to expand, and ventilation systems are becoming increasingly complex. The safe operation of dampers has become crucial, and preventive maintenance in coal mines has become a crucial issue.

[0004] However, existing damper preventive maintenance is still in its primitive stages, requiring inspections and maintenance at fixed intervals within a predetermined cycle. This preventive maintenance approach suffers from a flaw: it only checks the damper's current operating condition and cannot be extended to the next stage. This creates a high risk of damper failure between preventive maintenance visits, resulting in losses.

[0005] Currently, there is a lack of a good preventive maintenance method for underground air doors that can solve the above problems.

[0006] The information disclosed in this background technology section is only intended to enhance understanding of the overall background of the invention and should not be regarded as an admission or any form of suggestion that the information constitutes the prior art already known to a person skilled in the art. Summary of the Invention

[0007] The technical problem to be solved by the present invention is to overcome the above-mentioned defects and provide a prediction method for the downhole damper preventive maintenance index and a control system thereof.

[0008] In order to solve the above technical problems, on the one hand, the present invention provides a method for predicting the preventive maintenance index of an underground damper, and the prediction method includes the following steps: obtaining the current measured values of the parameters related to preventive maintenance of the target damper according to the time sequence; determining the predicted values of the parameters related to preventive maintenance in the next stage based on the current measured values and the total influencing factors affecting the parameters related to preventive maintenance in the next stage; determining the preventive maintenance index of the target damper in the next stage according to the determined predicted values of the parameters related to preventive maintenance in the next stage, and the preventive maintenance index is used to determine the preventive maintenance status of the target damper; and adjusting the preventive maintenance countermeasures of the target damper according to the preventive maintenance index in the next stage to ensure the reliable operation of the target damper.

[0009] Optionally, before obtaining the current measured values of the parameters related to preventive maintenance of the target damper according to the time sequence, the prediction method also includes: defining the preventive maintenance index according to the preset preventive maintenance countermeasures of the target damper; and determining the parameters related to preventive maintenance that need to be measured based on the defined preventive maintenance index.

[0010] Optionally, the parameters related to preventive maintenance include at least one of the following parameters: damper door gap, damper air leakage, wind pressure on both sides of the damper, and wind speed passing through the damper.

[0011] Optionally, the total impact factor is expressed by the following formula: :

[0012]

[0013] in, represents the total impact factor, Indicates the door gap influence factor, represents the air leakage influencing factor, represents the wind pressure influence factor on both sides, Represents the wind speed impact factor.

[0014] Optionally, the door gap influencing factors are expressed by the following formulas: , Air leakage influencing factors , Wind pressure influencing factors on both sides And wind speed factor :

[0015]

[0016] in, Indicates the current door gap definition value. Indicates the maximum door gap allowed by the damper. Indicates the weight coefficient of the door gap;

[0017]

[0018] in, Indicates the current air leakage definition value. Indicates the maximum air leakage allowed by the damper. Indicates the weight coefficient of air leakage;

[0019]

[0020] in, Indicates the current wind pressure definition value on both sides of the damper. Indicates the maximum wind pressure difference allowed by the damper. represents the wind pressure difference weight coefficient;

[0021]

[0022] in, Indicates the current wind speed definition value passing through the damper. Indicates the maximum wind speed allowed by the damper. Represents the wind speed weight coefficient.

[0023] Optionally, the predicted value of the parameter related to preventive maintenance in the next stage is expressed by the following formula:

[0024]

[0025] in Represents the predicted value of the damper gap in the next stage, Represents the actual measured value of the current damper door gap;

[0026]

[0027] in, Represents the predicted value of the damper leakage in the next stage, Represents the actual value of the current air leakage of the damper;

[0028]

[0029] in, Represents the predicted value of wind pressure on both sides of the damper in the next stage, Represents the actual measured value of the wind pressure on both sides of the current damper;

[0030]

[0031] in, Represents the predicted value of the damper wind speed in the next stage, Represents the actual measured value of the wind pressure on both sides of the current damper.

[0032] Optionally, in determining the predicted value of the parameter related to the preventive maintenance in the next stage, the prediction method also includes: normalizing the predicted value of the parameter related to the preventive maintenance in the next stage to obtain a processed normalized value; and determining the preventive maintenance index of the target damper in the next stage based on the normalized value.

[0033] Optionally, the preventive maintenance index of the target damper in the next stage is expressed by the following formula:

[0034]

[0035] Among them, PMI represents the preventive maintenance index of the next stage, Represents the predicted value of the door gap in the next stage, Represents the predicted value of air leakage in the next stage, Represents the predicted wind pressure value for the next stage, Represents the predicted wind speed value for the next stage, Represents the maximum allowable door gap, Represents the maximum allowable air leakage, Represents the maximum allowable wind pressure difference, Represents the maximum allowed wind speed, Represents the weight coefficient of the door gap, represents the air leakage weight coefficient, represents the wind pressure difference weight coefficient, Represents the wind speed weight coefficient.

[0036] Optionally, the preventive maintenance measures for the target damper are adjusted according to the preventive maintenance index of the next stage, including: when the predicted preventive maintenance index of the next stage is less than a preset threshold interval, the damper operates normally and records data; when the predicted preventive maintenance index of the next stage reaches the preset threshold interval, the damper sends an alarm to the user end and recommends preventive maintenance; when the predicted preventive maintenance index of the next stage is greater than the preset threshold interval, the damper is forced to shut down and the maintenance process is triggered.

[0037] On the other hand, the present invention also provides a control system for an underground damper, including a power management module, a communication module, an execution control module, a safety protection module, a storage module, a start / stop module, and a self-test and fault diagnosis module. The control system also includes the following modules: a data acquisition module, including a pressure sensor, a wind speed sensor, a displacement sensor, and a flow sensor, for collecting the current measurement values of the parameters related to preventive maintenance of the target damper; a calculation module, for calculating the total influencing factor and the preventive maintenance index that affect the parameters related to preventive maintenance in the next stage; a parameter prediction module, for predicting the parameter values related to preventive maintenance in the next stage; a decision control module, for triggering a control strategy according to the preventive maintenance index; a human-computer interaction module, for displaying parameters, indexes, and alarm information in real time, and supporting parameter configuration.

[0038] The present invention obtains the current measured value of the parameter related to preventive maintenance of the target damper, and based on this value and the total impact factor that affects the parameter related to preventive maintenance in the next stage, obtains the predicted value of the parameter related to preventive maintenance in the next stage, and uses this predicted value to determine the next stage preventive maintenance index of the target damper in the next stage. Based on this index, it is determined whether preventive maintenance is required for the target damper. Through the above method, the present invention can predict the operating conditions of the damper in the next stage, thereby adjusting the preventive maintenance countermeasures for the target damper, effectively reducing the risk of the damper malfunctioning between two preventive maintenances, and avoiding greater losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 This is a flow chart of a method for predicting a downhole damper preventive maintenance index provided by one embodiment of the present invention;

[0040] Figure 2 This is a flow chart of a method for predicting a downhole damper preventive maintenance index provided by another embodiment of the present invention;

[0041] Figure 3 It is a schematic diagram of a control system of a method for predicting a downhole damper preventive maintenance index provided by one embodiment of the present invention;

[0042] Figure 4 It is a schematic diagram of a monitoring platform of a control system for a method for predicting an underground damper preventive maintenance index provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0043] Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with the present disclosure. Rather, they are merely examples of devices consistent with certain aspects of the present disclosure, as detailed in the appended claims.

[0044] As mentioned above, existing damper preventive maintenance is still in its primitive stages, requiring inspections and maintenance to be performed at fixed intervals within a defined cycle. The drawback of this preventive maintenance approach is that it only checks the damper's current operating condition and cannot be extended to the next stage. This leads to a high risk of damper failure between preventive maintenance visits, resulting in losses.

[0045] To address this issue, the present invention proposes a method for predicting an underground damper preventive maintenance index and a control system thereof to solve the above-mentioned problem. The present invention solves the problem in the following manner.

[0046] Example 1:

[0047] Please refer to the instruction manual Figure 1 As shown in the figure, the present invention provides a method for predicting an underground damper preventive maintenance index, comprising the following steps:

[0048] S100 : Acquire current measured values of parameters related to preventive maintenance of a target damper according to a chronological order.

[0049] S200: Determine predicted values of the parameters related to preventive maintenance in the next stage based on the current measured values and the total impact factors affecting the parameters related to preventive maintenance in the next stage.

[0050] S300: Determine a preventive maintenance index of the target damper in the next stage according to the predicted value of the parameter related to preventive maintenance in the next stage, wherein the preventive maintenance index is used to determine a preventive maintenance status of the target damper.

[0051] S400: Adjust the preventive maintenance countermeasures for the target damper according to the preventive maintenance index of the next stage to ensure reliable operation of the target damper.

[0052] The present invention discloses a method for predicting a downhole damper preventive maintenance index. This method obtains the current measured value of a target damper's preventive maintenance-related parameter and, based on this value and the total influencing factor affecting the next-stage preventive maintenance-related parameter, obtains a predicted value of the next-stage preventive maintenance-related parameter. This predicted value is then used to determine the next-stage preventive maintenance index for the target damper. This index is used to determine whether preventive maintenance is necessary for the target damper. In other words, the damper's next-stage operating condition can be predicted, allowing adjustments to be made to the target damper's preventive maintenance strategy. This effectively reduces the risk of the damper failing between preventive maintenance cycles, thus avoiding further losses.

[0053] Example 2:

[0054] Based on the above embodiment, in order to further explain its technical solution clearly and completely, the present invention also provides a second embodiment. As shown in the figure, in the second embodiment,

[0055] Before S100 , the prediction method may further include: S010 , defining the preventive maintenance index according to a preset preventive maintenance strategy for the target damper.

[0056] Based on this, in the second embodiment, the preventive maintenance index can be defined as follows through data analysis and / or expert experience:

[0057] (1)

[0058] in, represents the preventive maintenance index, Represents the current damper door gap definition value, Represents the current air leakage definition value of the damper. Represents the current wind pressure definition value on both sides of the damper. Represents the wind speed definition value passing through the current damper. Represents the maximum allowable door gap, Represents the maximum allowable air leakage, Represents the maximum allowable wind pressure difference, Represents the maximum allowed wind speed, Represents the weight coefficient of the door gap, represents the air leakage weight coefficient, represents the wind pressure difference weight coefficient, Represents the wind speed weight coefficient.

[0059] S020. Determine, based on the defined preventive maintenance index, parameters related to preventive maintenance that need to be measured.

[0060] Based on this, according to formula (1), the parameters related to preventive maintenance that need to be measured can include the air door gap: , air leakage of damper , Wind pressure on both sides of the damper and the wind speed through the damper .

[0061] In the second embodiment, the total impact factor of the parameters related to preventive maintenance in the next stage is shown as follows:

[0062] (2)

[0063] in, Indicates the total impact factor (e.g., 0≤ ≤1), Indicates the door gap influence factor, represents the air leakage influencing factor, represents the wind pressure influence factor on both sides, Represents the wind speed impact factor.

[0064] Based on this, the door gap influencing factors are expressed as follows: , Air leakage influencing factors , Wind pressure influencing factors on both sides And wind speed influencing factors :

[0065] (3)

[0066] in, Indicates the current door gap definition value. Indicates the maximum door gap allowed by the damper. Indicates the weight coefficient of the door gap (for example, =0.3).

[0067] (4)

[0068] in, Indicates the current air leakage definition value. Indicates the maximum air leakage allowed by the damper. Indicates the weight coefficient of air leakage (for example: =0.3).

[0069] (5)

[0070] in, Indicates the current wind pressure definition value on both sides of the damper. Indicates the maximum wind pressure difference allowed by the damper. Indicates the wind pressure difference weight coefficient (for example: =0.2).

[0071] (6)

[0072] in, Indicates the current wind speed definition value passing through the damper. Indicates the maximum wind speed allowed by the damper. Indicates the wind speed weight coefficient (for example: =0.2).

[0073] In the second embodiment, based on the above-mentioned door gap influencing factor , Air leakage influencing factors , Wind pressure influencing factors on both sides And wind speed factor The total impact factor , it can be concluded that the predicted values of the parameters related to preventive maintenance in the next stage are as shown in the following formula:

[0074] (7)

[0075] in Represents the predicted value of the damper gap in the next stage, Represents the actual measured value of the current damper gap.

[0076] (8)

[0077] in, Represents the predicted value of the damper leakage in the next stage, Represents the actual measured value of the current damper leakage.

[0078] (9)

[0079] in, Represents the predicted value of wind pressure on both sides of the damper in the next stage, Represents the actual measured value of the wind pressure on both sides of the current damper.

[0080] (10)

[0081] in, Represents the predicted value of the damper wind speed in the next stage, Represents the actual measured value of the wind pressure on both sides of the current damper.

[0082] In S300 , the prediction method may further include: S310 , normalizing the predicted value of the parameter related to preventive maintenance in the next stage to obtain a processed normalized value (eg, normalized value=predicted value / maximum value).

[0083] S320: Determine a preventive maintenance index of the target damper in the next stage according to the normalized value.

[0084] Based on this, in the second embodiment, the preventive maintenance index of the target damper in the next stage can be expressed by the following formula:

[0085] (11)

[0086] Among them, PMI represents the preventive maintenance index of the next stage, Represents the predicted value of the door gap in the next stage, Represents the predicted value of air leakage in the next stage, Represents the predicted wind pressure value for the next stage, Represents the predicted wind speed value for the next stage, Represents the maximum allowable door gap, Represents the maximum allowable air leakage, Represents the maximum allowable wind pressure difference, Represents the maximum allowed wind speed, Represents the weight coefficient of the door gap, represents the air leakage weight coefficient, represents the wind pressure difference weight coefficient, Represents the wind speed weight coefficient.

[0087] In S400, the prediction method may further include: S410, when the predicted preventive maintenance index of the next stage is less than a preset threshold range, the damper operates normally and records data.

[0088] S420: When the predicted preventive maintenance index for the next stage reaches a preset threshold range, the damper sends an alarm to the user end and recommends preventive maintenance.

[0089] S430: When the predicted preventive maintenance index for the next stage is greater than a preset threshold range, the damper is forced to shut down and a maintenance process is triggered.

[0090] For example, the preset threshold range (eg, 0.7≤PMI≤0.9) can be determined through data analysis and / or expert experience. That is, when the predicted preventive maintenance index for the next stage is less than 0.7, the damper operates normally and records data.

[0091] When the predicted preventive maintenance index for the next stage is greater than or equal to 0.7 and less than or equal to 0.9, the damper sends an alarm to the user and recommends preventive maintenance.

[0092] When the predicted preventive maintenance index for the next stage is greater than 0.9, the damper is forced to shut down and the maintenance process is triggered.

[0093] Accordingly, the prediction method provided in the second embodiment monitors the damper door gap, damper air leakage, wind pressure on both sides of the damper, and wind speed through the damper in real time, and predicts its parameters for the next stage. Based on the obtained monitoring parameters and the predicted damper preventive maintenance index for the next stage, an effective prediction method for the damper preventive maintenance index for the next stage is established, so that the operator can adjust the preventive maintenance policy of the target damper according to the predicted damper preventive maintenance index for the next stage, which can effectively reduce the risk of damper failure between two preventive maintenances and avoid greater losses.

[0094] Example 3:

[0095] Based on the same general inventive concept, the present invention also provides a control system for a method of predicting a downhole damper preventive maintenance index. In addition to a power management module, a communication module, an execution control module, a safety protection module, a storage module, a start / stop module, and a self-test and fault diagnosis module, the control system may also include the following modules: a data acquisition module, including a pressure sensor, a wind speed sensor, a displacement sensor, and a flow sensor, for collecting current measurement values of parameters related to preventive maintenance of the target damper; a calculation module, for calculating the total influencing factors and the preventive maintenance index that affect the parameters related to preventive maintenance in the next stage; a parameter prediction module, for predicting the parameter values related to preventive maintenance in the next stage; a decision control module, for triggering a control strategy based on the preventive maintenance index; and a human-computer interaction module, for displaying parameters, indexes, and alarm information in real time, and supporting parameter configuration.

[0096] Based on this, when maintenance personnel need to adjust the preventive maintenance countermeasures according to the preventive maintenance index of the damper predicted in the next stage, the above modules can be used to control the target damper to assist maintenance personnel in completing the required preventive maintenance work.

[0097] (1) Automatic state: Infrared sensors are installed on the tunnel walls at both ends of the two dampers, forming a detection line at both ends of the dampers. When pedestrians or vehicles enter from either side of the tunnel, the sensors automatically detect and provide signals to the control equipment. When door A (i.e. Figure 4When someone passes by (the door shown in the front right of the picture of China and North Korea), the sensor sends a signal, the power source of door A is energized, and the damper A is opened. The damper is equipped with a sensor to detect the closed and closed status of the damper. When door A is opened, the sound and light alarm device receives a trigger signal and issues a warning message "Damper opening" accompanied by a flashing red light. Door B (i.e. Figure 4 The door (shown in the front left of the China-North Korea image) has an audible and visual alarm that simultaneously announces "Front Air Door Opening," accompanied by a red light. Door B is locked to prevent both doors from being opened, potentially impacting mine safety. After an appropriate delay (configurable, for example, 30 seconds), Door A automatically closes. Once the sensor detects that the door is fully closed, the warning tone and red light turn off, and the green light remains on.

[0098] (2) Manual mode: In manual mode, when a pedestrian or vehicle needs to pass through the damper, manually press the "Open" control button of Door A, Door A opens, and Door B closes at the same time. The opening and closing of the two doors are also accompanied by a voice prompt signal. Similarly, press the "Close" control button of Door A, Door A closes, and Door B opens at the same time.

[0099] (3) Each air door is equipped with infrared automatic anti-pinch function and manual anti-pinch function to prevent accidents during the transportation of materials and the passage of personnel.

[0100] (4) Electrical and mechanical double locking can be achieved between the two dampers to avoid the situation where both doors are open, which is safe and reliable.

[0101] (5) It has an emergency unlocking function, which can unlock the two dampers under special circumstances, so that both sets of dampers are locked in the open state.

[0102] (6) It has two alarm modes: LED display alarm and voice alarm. When a vehicle passes by, it can send out a variety of voice prompt signals. In the event of a fault, it can send out sound and light alarm signals. The LED display has a countdown function, so workers can know from a distance how long it will take for the damper to close.

[0103] (7) Each damper has two leaves that open and close synchronously in different and same directions. It is equipped with a perspective window through which the situation inside the door can be observed. Each damper has an adjustable wind window.

[0104] (8) The damper is made of thick galvanized steel plate with double-sided dense welding (for example, 2mm), sprayed with primer and anti-rust paint to ensure that the damper will not corrode under harsh conditions.

[0105] (9) It has damper operation function and parameter setting function.

[0106] (10) It has the function of displaying damper fault in Chinese characters and storing alarm records, which facilitates maintenance personnel to quickly inspect and troubleshoot.

[0107] (11) Reserved remote 485 communication interface, supporting PROFIBUS-DP.

[0108] It should be understood that in various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0109] Additionally, the terms "system" and "network" are often used interchangeably. The term "and / or" is simply used to describe a relationship between related objects, indicating that three possible relationships exist. For example, "A and / or B" can mean: A exists alone, A and B exist simultaneously, or B exists alone. Furthermore, the character " / " generally indicates an "or" relationship between the related objects.

[0110] It should be understood that in the embodiments of the present invention, "B corresponding to A" means that B is associated with A and B can be determined based on A. However, it should also be understood that determining B based on A does not mean determining B based solely on A; B can also be determined based on A and / or other information.

[0111] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the composition and steps of each example according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0112] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0113] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, or can be electrical, mechanical or other forms of connection.

[0114] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected according to actual needs to achieve the objectives of the embodiments of the present invention.

[0115] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0116] From the above description of the embodiments, it will be apparent to those skilled in the art that the present invention can be implemented using hardware, firmware, or a combination thereof. When implemented using software, the aforementioned functionality may be stored in a computer-readable medium or transmitted as one or more instructions or codes on the computer-readable medium. Computer-readable media include computer storage media and communication media, wherein communication media includes any medium that facilitates the transfer of computer programs from one location to another. Storage media can be any available medium that can be accessed by a computer. By way of example and not limitation, computer-readable media may include RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer. Furthermore, any suitable connection may constitute a computer-readable medium. For example, if the software is transmitted from a website, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of the medium. As used herein, the terms "disk" and "disc" include compact discs (CDs), laser discs, optical discs, digital versatile discs (DVDs), floppy disks, and Blu-ray discs. Disks typically reproduce data magnetically, while discs use lasers to reproduce data optically. Combinations of the above should also be included within the scope of protection for computer-readable media.

[0117] In short, the above description is only a preferred embodiment of the technical solution of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included in the scope of protection of the present invention.

Claims

1. A method for predicting an underground damper preventive maintenance index, characterized in that: The prediction method comprises the following steps: Obtaining current measured values of parameters related to preventive maintenance of the target damper according to a time sequence; Determining predicted values of the parameters related to preventive maintenance in the next stage based on the current measured values and a total influencing factor affecting the parameters related to preventive maintenance in the next stage; Determining a preventive maintenance index for the target damper at the next stage based on the predicted value of the parameter related to preventive maintenance at the next stage, wherein the preventive maintenance index is used to determine a preventive maintenance status of the target damper; According to the preventive maintenance index of the next stage, the preventive maintenance countermeasures of the target damper are adjusted to ensure the reliable operation of the target damper.

2. The prediction method according to claim 1, characterized in that Before obtaining the current measured values of the parameters related to preventive maintenance of the target damper according to the time sequence, the prediction method further includes: Defining the preventive maintenance index according to a preset preventive maintenance strategy for the target damper; and Based on the defined preventive maintenance index, the parameters related to preventive maintenance that need to be measured are determined.

3. The prediction method according to claim 1 or 2, characterized in that: The parameters related to preventive maintenance include at least one of the following parameters: damper door gap, damper air leakage, wind pressure on both sides of the damper, and wind speed passing through the damper.

4. The prediction method according to claim 1, wherein: The total impact factor is expressed by the following formula: : in, represents the total impact factor, Indicates the door gap influence factor, Indicates the air leakage influencing factor, represents the wind pressure influence factor on both sides, Represents the wind speed impact factor.

5. The prediction method according to claim 4, characterized in that The door gap influencing factors are expressed by the following formulas: , Air leakage influencing factors , Wind pressure influencing factors on both sides And wind speed factor : in, Indicates the current door gap definition value. Indicates the maximum door gap allowed by the damper. Indicates the weight coefficient of the door gap; in, Indicates the current air leakage definition value. Indicates the maximum air leakage allowed by the damper. Indicates the weight coefficient of air leakage; in, Indicates the current wind pressure definition value on both sides of the damper. Indicates the maximum wind pressure difference allowed by the damper. represents the wind pressure difference weight coefficient; in, Indicates the current wind speed definition value passing through the damper. Indicates the maximum wind speed allowed by the damper. Represents the wind speed weight coefficient.

6. The prediction method according to claim 5, characterized in that The predicted values of the parameters related to preventive maintenance in the next stage are expressed by the following formula: in Represents the predicted value of the damper gap in the next stage, Represents the actual measured value of the current damper door gap; in, Represents the predicted value of the damper leakage in the next stage, Represents the actual value of the current air leakage of the damper; in, Represents the predicted value of wind pressure on both sides of the damper in the next stage, Represents the actual measured value of the wind pressure on both sides of the current damper; in, Represents the predicted value of the wind speed of the damper in the next stage, Represents the actual measured value of the wind pressure on both sides of the damper.

7. The prediction method according to claim 1, wherein: After determining the predicted value of the parameter related to preventive maintenance in the next stage, the prediction method further includes: Normalizing the predicted values of the parameters related to preventive maintenance in the next stage to obtain normalized values; and A preventive maintenance index of the target damper in the next stage is determined according to the normalized value.

8. The prediction method according to claim 1, wherein: The preventive maintenance index of the target damper in the next stage is expressed by the following formula: Among them, PMI represents the preventive maintenance index of the next stage, Represents the predicted value of the door gap in the next stage, Represents the predicted value of air leakage in the next stage, Represents the predicted wind pressure value for the next stage, Represents the wind speed forecast value for the next stage, Represents the maximum allowable door gap, Represents the maximum allowable air leakage, Represents the maximum allowable wind pressure difference, Represents the maximum allowed wind speed, Represents the weight coefficient of the door gap, represents the air leakage weight coefficient, represents the wind pressure difference weight coefficient, Represents the wind speed weight coefficient.

9. The prediction method according to claim 1, characterized in that The preventive maintenance countermeasures for the target damper are adjusted according to the preventive maintenance index of the next stage, including: When the predicted preventive maintenance index for the next stage is less than the preset threshold range, the damper operates normally and records data; When the predicted preventive maintenance index for the next stage reaches the preset threshold range, the damper sends an alarm to the user and recommends preventive maintenance; When the predicted preventive maintenance index for the next stage is greater than the preset threshold range, the damper is forced to shut down and the maintenance process is triggered.

10. A control system for a downhole damper according to any one of claims 1 to 9, comprising a power management module, a communication module, an execution control module, a safety protection module, a storage module, a home module, and a self-test and fault diagnosis module, characterized in that: The control system also includes the following modules: A data acquisition module, including a pressure sensor, an air velocity sensor, a displacement sensor, and a flow sensor, for collecting current measurement values of parameters related to preventive maintenance of the target damper; a calculation module, configured to calculate a total impact factor and a preventive maintenance index that affect the parameters related to the preventive maintenance in the next stage; A parameter prediction module, used for predicting the parameter values related to the preventive maintenance in the next stage; A decision control module is used to trigger a control strategy based on the preventive maintenance index; The human-computer interaction module is used to display parameters, indexes, alarm information in real time and supports parameter configuration.

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