Power plant feed pump state monitoring and fault diagnosis device
By introducing a seat frame and an electric slide platform into the power plant water supply pump monitoring device, all-round monitoring of water supply pumps in larger power plants is solved, and the problem of incomplete detection of traditional devices is improved, and the accuracy and accuracy of fault diagnosis are improved.
Patent Information
- Application Number
- CN202420987770.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2024-05-09
- Publication Date
- 2025-01-03
- Estimated Expiration
- 2034-05-09
AI Technical Summary
During the detection process, the water supply pump status monitoring device of traditional power plant is difficult to fully detect the water supply pump of a larger power plant, resulting in low fault diagnosis accuracy.
A lifting detection movable frame structure including a seat frame, an electric slide table and a stepper motor is designed. By adjusting the height and rotating the movable frame, the water supply pump can be fully monitored and the accuracy of fault diagnosis is increased.
By adjusting the height and rotational range of the lifting and detection movable frame, comprehensive monitoring of water supply pumps in larger power plants is achieved, and the accuracy and accuracy of fault diagnosis are improved.
Smart Images

Figure CN222296528U_ABST
Abstract
Description
Technical Field
[0001] The utility model belongs to the technical field of monitoring and diagnosing water supply pumps in power plants, and in particular relates to a state monitoring and fault diagnosis device for water supply pumps in power plants. Background Art
[0002] The power plant feed water pump status monitoring and fault diagnosis device is an instrument that uses a variety of sensor devices to monitor the status of the working power plant feed water pump and perform fault diagnosis based on the monitoring data. In the traditional monitoring process, its sensor equipment is specified in a specified position, so it is not convenient to fully detect the larger power plant feed water pump, which leads to errors in the fault diagnosis process. Utility Model Content
[0003] In order to solve the above technical problems, the utility model provides a power plant feed water pump status monitoring and fault diagnosis device, which realizes the function of adjusting the monitoring sensor equipment after installation, so as to perform comprehensive detection on larger power plant feed water pumps to increase the accuracy of fault diagnosis.
[0004] The technical solution is as follows: a power plant feed water pump status monitoring and fault diagnosis device, including a hanger frame, a mounting plate welded to the lower end of the hanger frame; the hanger frame is supported by a first electric cylinder on the left bolt at the upper end; a control cabinet is installed on the right lower bolt of the outer wall of the hanger frame, and a central processing unit, an Internet of Things module and an A / D converter, a vibration sensor, and a lifting and detection movable frame structure are respectively inlaid inside the control cabinet, characterized in that the lifting and detection movable frame structure includes an electric slide, and the upper bolts of the electric slide are connected to a stepper motor; the lower end bolts of the stepper motor are installed with a hanging box; and the lower part of the electric slide is installed with an integrated protective shell structure.
[0005] Preferably, the upper end of the hanging box is bolted to the output shaft of the first electric cylinder.
[0006] Compared with the prior art, the beneficial effects of the utility model are:
[0007] In the utility model, the first electric cylinder is arranged to adjust the height of the lifting detection movable frame structure, thereby increasing the monitoring range.
[0008] In the utility model, the arrangement of the hanging box and the stepper motor enables the integrated protective shell structure to rotate around the water pump, thereby increasing the accuracy of monitoring different positions, thereby increasing the accuracy of water pump fault diagnosis.
[0009] In the utility model, the arrangement of the electric slide increases the range of movement of the integrated protective shell structure for applicability. BRIEF DESCRIPTION OF THE DRAWINGS
[0010] Figure 1 It is a structural schematic diagram of the utility model.
[0011] Figure 2 It is a structural schematic diagram of the lifting and testing movable frame structure of the utility model.
[0012] Figure 3 It is a structural schematic diagram of the integrated protective shell structure of the utility model.
[0013] In the figure:
[0014] 1. Suspension bracket; 2. First electric cylinder; 3. Mounting plate; 4. Control cabinet; 5. Central processing unit; 6. Internet of Things module; 7. A / D converter; 8. Vibration sensor; 9. Lifting detection movable frame structure; 91. Electric slide; 92. Suspension box; 93. Stepper motor; 94. Integrated protective shell structure; 941. Box body; 942. Cooling fan; 943. Infrared thermal imaging sensor; 944. Camera; 945. Sound sensor. DETAILED DESCRIPTION
[0015] The utility model is further described below in conjunction with the accompanying drawings:
[0016] Example:
[0017] As attached Figure 1 As shown, a power plant feed water pump status monitoring and fault diagnosis device includes a hanger frame 1, a mounting plate 3 is welded at the lower end of the hanger frame 1; the hanger frame 1 is supported by a first electric cylinder 2 by the left bolts at the upper end; a control cabinet 4 is installed by the right lower bolts of the outer wall of the hanger frame 1, and a central processing unit 5, an Internet of Things module 6 and an A / D converter 7, a vibration sensor 8, and a hoisting detection movable frame structure 9 are embedded inside the control cabinet 4.
[0018] As attached Figure 2 As shown, in the above embodiment, specifically, the hoisting detection movable frame structure 9 includes an electric slide 91, and the upper part of the electric slide 91 is bolted to a stepper motor 93; the lower end of the stepper motor 93 is bolted to a hanging box 92; the lower part of the electric slide 91 is installed with an integrated protective shell structure 94; the stepper motor 93 is driven to drive the electric slide 91 to rotate and adjust, and the electric slide 91 is driven to drive the box body 941 to move horizontally and adjust.
[0019] As attached Figure 3 As shown, in the above embodiment, specifically, the integrated protective shell structure 94 includes a box body 941, and cooling fans 942 are respectively embedded on the left and right sides of the rear of the box body 941; the lower volume inside the box body 941 is embedded with an infrared thermal imaging sensor 943, a camera 944 and a sound sensor 945.
[0020] In the above embodiment, specifically, the output shaft of the stepper motor 93 passes through the hanging box 92 and is connected to the electric slide 91 .
[0021] In the above embodiment, specifically, the lower movable part of the electric slide 91 is connected with the box body 941 by bolts, driving the box body 941 to move laterally and adjust.
[0022] In the above embodiment, specifically, the heat dissipation fan 942 corresponds to the infrared thermal imaging sensor 943, the camera 944 and the sound sensor 945 respectively, so as to facilitate heat dissipation protection.
[0023] In the above embodiment, specifically, the first electric cylinder 2 is electrically connected to the central processing unit 5, the Internet of Things module 6 is electrically connected to the central processing unit 5, the A / D converter 7 is electrically connected to the central processing unit 5, the electric slide 91 is electrically connected to the central processing unit 5, the stepper motor 93 is electrically connected to the central processing unit 5, the cooling fan 942 is electrically connected to the central processing unit 5, the camera 944 is electrically connected to the central processing unit 5, the vibration sensor 8, the infrared thermal imaging sensor 943 and the sound sensor 945 are respectively electrically connected to the A / D converter 7, and the right side of the control cabinet 4 is respectively inlaid with buttons and a display, which are respectively electrically connected to the central processing unit 5.
[0024] How it works
[0025] The working principle of the utility model: when monitoring the status of the power plant's feed water pump and realizing fault diagnosis, first make the hanger frame 1 bolted to the installation place through the mounting plate 3, and make the camera 944, infrared thermal imaging sensor 943 and sound sensor 945 correspond to the feed water pump, and then make the vibration sensor 8 bolted to the feed water pump. After completion, use the sensor equipment to detect the data and cooperate with the central processor 5 and the Internet of Things module 6 to transmit it to the connected computer for monitoring. During the monitoring process, check the data to perform fault diagnosis. When adjusting during the working process, drive the first electric cylinder 2 to drive the hanging box 92 to descend, and then drive the stepper motor 93 to drive the electric slide 91 to rotate, and finally drive the electric slide 91 to drive the box body 941 to move horizontally to perform a comprehensive inspection around the feed water pump.
[0026] Utilizing the technical solution described in the utility model, or those skilled in the art designing similar technical solutions inspired by the technical solution of the utility model to achieve the above-mentioned technical effects, all fall within the protection scope of the utility model.
Claims
1. A power plant feed water pump status monitoring and fault diagnosis device, comprising a hanger frame (1), a mounting plate (3) welded to the lower end of the hanger frame (1); a first electric cylinder (2) is supported by a left bolt on the upper end of the hanger frame (1); a control cabinet (4) is installed by a right lower bolt on the outer wall of the hanger frame (1), and a central processing unit (5), an Internet of Things module (6) and an A / D converter (7), a vibration sensor (8), and a lifting detection movable frame structure (9) are respectively embedded in the control cabinet (4), characterized in that: The described hanging detection movable frame structure (9) comprises an electric slide (91), the upper part of the electric slide (91) is bolted to a stepping motor (93); the lower end of the stepping motor (93) is bolted to a hanging box (92); and the lower part of the electric slide (91) is installed with an integrated protective shell structure (94).
2. The power plant feedwater pump status monitoring and fault diagnosis device according to claim 1, characterized in that: The integrated protective shell structure (94) comprises a box body (941), and cooling fans (942) are respectively embedded on the left and right sides of the rear of the box body (941); and the lower volume inside the box body (941) is embedded with an infrared thermal imaging sensor (943), a camera (944) and a sound sensor (945).
3. The power plant feedwater pump status monitoring and fault diagnosis device according to claim 1, characterized in that: The upper end of the hanging box (92) is bolted to the output shaft of the first electric cylinder (2).
4. The power plant feedwater pump status monitoring and fault diagnosis device according to claim 1, characterized in that: The output shaft of the stepping motor (93) passes through the hanging box (92) and is connected to the electric slide (91).
5. The power plant feedwater pump status monitoring and fault diagnosis device according to claim 2, characterized in that: The lower movable part of the electric slide (91) is connected to the box body (941) by bolts.
6. The power plant feedwater pump status monitoring and fault diagnosis device according to claim 2, characterized in that: The heat dissipation fan (942) corresponds to the infrared thermal imaging sensor (943), the camera (944) and the sound sensor (945) respectively.
