Dust remover fault self-diagnosis system

Abstract

The invention relates to a dust remover fault self-diagnosis system, and belongs to the technical field of industrial automation and environmental protection. The system comprises a dust concentration monitoring device, a vibration sensor, a spray water quantity monitoring device, an operation resistance monitoring device and a central processing unit. And the central processing unit receives the data acquired by each monitoring device, performs fault diagnosis according to preset fault judgment logic, and outputs a diagnosis result. The system can also adjust the operation parameters of the dust remover according to the dust concentration data, such as wind speed, spray water quantity and the like, so as to improve the dust removal efficiency. In addition, the system can be connected with a remote monitoring system to realize remote monitoring and fault diagnosis. The method can automatically diagnose the fault of the dust remover, improves the operation efficiency and reliability of the dust remover, and guarantees the production safety and environment quality.

Description

Technical Field

[0001] The invention belongs to the technical field of industrial automation and environmental protection, and relates to a dust collector fault self-diagnosis system. Background Art

[0002] Dust collectors are commonly used environmental protection equipment in industrial production. They are used to collect and purify dust generated during the production process, prevent dust from polluting the environment, and protect the health of workers. The normal operation of dust collectors is crucial to ensuring production safety and environmental quality.

[0003] However, during the use of the dust collector, various faults may occur, such as damage to the dynamic balance of the impeller, damage to the spray rack, clogging of the nozzle, clogging or damage of the filter, etc. These faults will cause the dust removal efficiency of the dust collector to decrease or even fail to work normally, thus affecting production safety and environmental quality.

[0004] The existing dust collector fault diagnosis method mainly relies on manual experience to make judgments, which is inefficient and prone to misjudgment. In addition, the existing dust collector monitoring system cannot realize automatic diagnosis of dust collector faults.

[0005] Therefore, developing a system that can automatically diagnose dust collector faults is of great significance for improving the operating efficiency and reliability of dust collectors and ensuring production safety and environmental quality. Summary of the invention

[0006] In view of this, an object of the present invention is to provide a dust collector fault self-diagnosis system.

[0007] In order to achieve the above object, the present invention provides the following technical solutions:

[0008] Dust collector fault self-diagnosis system, including:

[0009] A dust concentration monitoring device, used to monitor the dust concentration at the front end of the dust collector, the device adopts a rod-shaped detection electrode structure and is manufactured by 3D printing and machinery;

[0010] Vibration sensor to monitor dust collector vibration;

[0011] Spray water volume monitoring device, used to monitor the spray water volume of the dust collector;

[0012] Operation resistance monitoring device, used to monitor the operation resistance of the dust collector;

[0013] The central processing unit is used to receive dust concentration, vibration, spray water volume and running resistance data, and perform fault diagnosis according to the preset fault judgment logic and output the diagnosis result.

[0014] Further, the fault judgment logic includes:

[0015] When the vibration of the dust collector is detected to increase to a preset threshold, it is judged that the dynamic balance of the impeller is destroyed;

[0016] When the amount of water sprayed by the dust collector increases to a preset threshold, it is judged that the spray rack is damaged;

[0017] When the amount of water sprayed by the dust collector is detected to be reduced to a preset threshold, it is judged that the nozzle is clogged;

[0018] When the running resistance of the dust collector is detected to exceed the upper limit, it is judged that the filter is clogged;

[0019] When the operating resistance of the dust collector is monitored to be lower than the lower limit value, it is judged that the filter is damaged.

[0020] Furthermore, the central processor can also adjust the operating parameters of the dust collector, such as wind speed, spray water volume, etc., according to the dust concentration data to improve the dust removal efficiency.

[0021] Furthermore, the dust collector fault self-diagnosis system is connected to a remote monitoring system to achieve remote monitoring and fault diagnosis.

[0022] The beneficial effects of the present invention are:

[0023] (1) By real-time monitoring of the dust collector's operating status and timely detection and handling of faults, the dust collector's operating efficiency can be improved and energy consumption can be reduced.

[0024] (2) By automatically diagnosing dust collector failures, potential fault hazards can be discovered in a timely manner and preventive maintenance can be performed, thereby reducing the failure rate of the dust collector and extending the service life of the equipment.

[0025] (3) Timely handling of dust collector failures can prevent dust leakage and protect worker health and production safety.

[0026] (4) Improving the dust removal efficiency of the dust collector can effectively reduce dust emissions and improve environmental quality.

[0027] (5) By automatically diagnosing dust collector faults, the workload of manual maintenance can be reduced and maintenance costs can be reduced.

[0028] (6) The system can be connected to the remote monitoring system to realize remote monitoring and fault diagnosis, which is convenient for users to remotely understand the operating status of the dust collector and deal with faults in time.

[0029] Other advantages, objectives and features of the present invention will be described in the following description to some extent, and to some extent, will be obvious to those skilled in the art based on the following examination and study, or can be taught from the practice of the present invention. The objectives and other advantages of the present invention can be realized and obtained through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention will be described in detail below in conjunction with the accompanying drawings, wherein:

[0031] Figure 1 It is a technical solution diagram of the present invention. DETAILED DESCRIPTION

[0032] The following describes the embodiments of the present invention by specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the illustrations provided in the following embodiments only illustrate the basic concept of the present invention in a schematic manner, and the following embodiments and features in the embodiments can be combined with each other without conflict.

[0033] Among them, the drawings are only used for illustrative explanations, and they only represent schematic diagrams rather than actual pictures, and should not be understood as limitations on the present invention. In order to better illustrate the embodiments of the present invention, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the size of actual products. For those skilled in the art, it is understandable that some well-known structures and their descriptions in the drawings may be omitted.

[0034] The same or similar numbers in the drawings of the embodiments of the present invention correspond to the same or similar parts; in the description of the present invention, it should be understood that if the terms "upper", "lower", "left", "right", "front", "rear", etc. indicate the orientation or position relationship, they are based on the orientation or position relationship shown in the drawings, which is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation. Therefore, the terms describing the position relationship in the drawings are only used for illustrative purposes and cannot be understood as limiting the present invention. For ordinary technicians in this field, the specific meanings of the above terms can be understood according to specific circumstances.

[0035] See also Figure 1 , is a dust collector fault self-diagnosis system, which consists of five main components:

[0036] Dust concentration monitoring device: This device is responsible for monitoring the dust concentration entering the front end of the dust collector and providing key input data for the system. In the present invention, the device adopts a rod-shaped detection electrode structure, and a monitoring device prototype is manufactured by 3D printing and machinery, and installed on the air inlet duct of the dust collector. The rod-shaped detection electrode structure has the advantages of simple structure, high measurement accuracy, and strong anti-interference ability.

[0037] Vibration sensor: This sensor is used to monitor the vibration of the dust collector. By analyzing the vibration data, it can be determined whether the impeller of the dust collector has problems such as dynamic balance damage. Vibration sensors can be of various types, such as acceleration sensors, velocity sensors, etc.

[0038] Spray water volume monitoring device: This device is used to monitor the spray water volume of the dust collector. By analyzing the spray water volume data, it can be determined whether the spray rack of the dust collector is damaged or the nozzle is blocked. The spray water volume monitoring device can be of various types, such as flow meters, liquid level sensors, etc.

[0039] Operation resistance monitoring device: This device is used to monitor the resistance of the dust collector during operation. By analyzing the resistance data, it can be determined whether the filter of the dust collector is blocked or damaged. The operation resistance monitoring device can be of various types, such as pressure sensors, differential pressure sensors, etc.

[0040] Central Processing Unit: This processor is the core of the entire system. It is responsible for receiving the data collected by the above monitoring devices, performing fault diagnosis according to the preset fault judgment logic, and finally outputting the diagnosis results. The processor can also adjust the operating parameters of the dust collector, such as wind speed, spray water volume, etc., according to the dust concentration data to improve the dust removal efficiency. The central processing unit can be of various types, such as single-chip microcomputer, PLC, etc.

[0041] Impeller dynamic balance is broken: When the vibration sensor detects that the vibration of the dust collector increases to the preset threshold, the system determines that the impeller dynamic balance is broken. The preset threshold can be adjusted according to the specific situation of the dust collector.

[0042] Spray rack damage: When the spray water volume monitoring device detects that the spray water volume increases to a preset threshold, the system determines that the spray rack is damaged. The preset threshold can be adjusted according to the specific situation of the dust collector.

[0043] Nozzle blockage: When the spray water volume monitoring device detects that the spray water volume is reduced to the preset threshold, the system determines that the nozzle is blocked. The preset threshold can be adjusted according to the specific situation of the dust collector.

[0044] Filter blockage: When the running resistance monitoring device detects that the running resistance of the dust collector exceeds the upper limit, the system determines that the filter is blocked. The upper limit can be adjusted according to the specific situation of the dust collector.

[0045] Filter damage: When the running resistance monitoring device detects that the running resistance of the dust collector is lower than the lower limit, the system determines that the filter is damaged. The lower limit can be adjusted according to the specific situation of the dust collector.

[0046] The function of the central processor can adjust the operating parameters of the dust collector, such as wind speed, spray water volume, etc., according to the dust concentration data. This function can improve the dust removal efficiency and reduce energy consumption. For example, when the dust concentration is high, the wind speed and spray water volume can be increased to improve the dust removal efficiency; when the dust concentration is low, the wind speed and spray water volume can be reduced to reduce energy consumption.

[0047] The dust collector fault self-diagnosis system can be connected to the remote monitoring system to achieve remote monitoring and fault diagnosis. This function can facilitate users to remotely understand the operating status of the dust collector, and handle faults in a timely manner to improve the operating efficiency of the equipment. The remote monitoring system can adopt various types, such as Internet-based monitoring systems, wireless network-based monitoring systems, etc.

[0048] Example 1

[0049] In this embodiment, the dust collector fault self-diagnosis system includes the following components:

[0050] Dust concentration monitoring device: A rod-shaped detection electrode structure is used, and a monitoring device prototype is manufactured through 3D printing and machinery, and installed on the air inlet duct of the dust collector.

[0051] Vibration sensor: An acceleration sensor is used and installed near the dust collector impeller.

[0052] Spray water volume monitoring device: uses a flow meter and is installed on the spray system.

[0053] Operation resistance monitoring device: adopts differential pressure sensor, installed on the inlet and outlet pipes of the dust collector.

[0054] Central Processing Unit: A single-chip microcomputer is used to receive the data collected by each sensor, perform fault diagnosis according to the preset fault judgment logic, and output the diagnosis results.

[0055] The preset fault judgment logic is as follows:

[0056] When the vibration sensor detects that the vibration acceleration of the dust collector exceeds 2m / s 2 When the impeller is damaged, it is judged that the dynamic balance of the impeller is destroyed.

[0057] When the spray water volume monitoring device detects that the spray water volume exceeds 10L / min, it is judged that the spray rack is damaged.

[0058] When the spray water volume monitoring device detects that the spray water volume is lower than 2L / min, it is judged that the nozzle is clogged.

[0059] When the operating resistance monitoring device detects that the differential pressure of the dust collector inlet and outlet pipes exceeds 1000Pa, it is judged that the filter is clogged.

[0060] When the operating resistance monitoring device detects that the differential pressure of the dust collector inlet and outlet pipes is lower than 500Pa, it is judged that the filter is damaged.

[0061] The CPU can also adjust the dust collector’s operating parameters, such as wind speed, spray water volume, etc., based on the dust concentration data. For example, when the dust concentration exceeds 10mg / m 3 When the dust is removed, the central processing unit can automatically increase the wind speed and spray water volume to improve the dust removal efficiency.

[0062] In this embodiment, the dust collector fault self-diagnosis system can also be connected to the remote monitoring system to achieve remote monitoring and fault diagnosis.

[0063] Example 2

[0064] Vibration sensor: A speed sensor is used and installed near the dust collector impeller.

[0065] Spray water volume monitoring device: uses a liquid level sensor and is installed on the spray water tank.

[0066] Operation resistance monitoring device: uses a pressure sensor and is installed on the inlet and outlet pipes of the dust collector.

[0067] Central Processing Unit: PLC is used to receive the data collected by each sensor, perform fault diagnosis according to the preset fault judgment logic, and output the diagnosis results.

[0068] The preset fault judgment logic is the same as that of Example 1.

[0069] Example 3

[0070] Dust concentration monitoring device: uses an optical sensor and is installed on the air inlet duct of the dust collector.

[0071] Vibration sensor: An acceleration sensor is used and installed near the dust collector impeller.

[0072] Spray water volume monitoring device: uses a flow meter and is installed on the spray system.

[0073] Operation resistance monitoring device: adopts differential pressure sensor, installed on the inlet and outlet pipes of the dust collector.

[0074] Central Processing Unit: An industrial computer is used to receive the data collected by each sensor, perform fault diagnosis according to the preset fault judgment logic, and output the diagnosis results.

[0075] The preset fault judgment logic is the same as that of Example 1.

[0076] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the purpose and scope of the technical solution, which should be included in the scope of the claims of the present invention.

Claims

1. Dust collector fault self-diagnosis system, characterized by: include: A dust concentration monitoring device, used to monitor the dust concentration at the front end of the dust collector, the device adopts a rod-shaped detection electrode structure and is manufactured by 3D printing and machinery; Vibration sensor to monitor dust collector vibration; Spray water volume monitoring device, used to monitor the spray water volume of the dust collector; Operation resistance monitoring device, used to monitor the operation resistance of the dust collector; The central processing unit is used to receive dust concentration, vibration, spray water volume and running resistance data, and perform fault diagnosis according to the preset fault judgment logic and output the diagnosis result.

2. The dust collector fault self-diagnosis system according to claim 1 is characterized in that: The fault judgment logic includes: When the vibration of the dust collector is detected to increase to a preset threshold, it is judged that the dynamic balance of the impeller is destroyed; When the amount of water sprayed by the dust collector increases to a preset threshold, it is judged that the spray rack is damaged; When the amount of water sprayed by the dust collector is detected to be reduced to a preset threshold, it is judged that the nozzle is clogged; When the running resistance of the dust collector is detected to exceed the upper limit, it is judged that the filter is clogged; When the operating resistance of the dust collector is monitored to be lower than the lower limit value, it is judged that the filter is damaged.

3. The dust collector fault self-diagnosis system according to claim 1 is characterized in that: The central processor can also adjust the operating parameters of the dust collector, such as wind speed, spray water volume, etc., according to the dust concentration data to improve the dust removal efficiency.

4. The dust collector fault self-diagnosis system according to claim 1 is characterized in that: The dust collector fault self-diagnosis system is connected to the remote monitoring system to achieve remote monitoring and fault diagnosis.

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