Screw pump state on-line monitoring platform

Abstract

The utility model discloses a screw pump state on-line monitoring platform in the technical field of on-line monitoring, which comprises a screw pump assembly, a monitoring module and a state module, and is characterized in that the screw pump assembly comprises a frequency converter, and the frequency converter is used for adjusting the rotating speed of a screw pump; the monitoring module comprises a frequency monitor and a flow meter. The frequency of the frequency converter of the screw pump is monitored through the detection module, the flow of the liquid outlet of the screw pump is monitored at the same time, the detection module inputs monitored data into the state module, and the state module calculates the current efficiency of the screw pump according to the frequency of the frequency converter and the flow of the liquid outlet. By comparing the current screw pump efficiency with the set efficiency range, the state of the screw pump is directly judged, the state of the screw pump is directly quantified through data so as to achieve the purpose of online monitoring, the state of production equipment can be mastered in real time through a unified standard without long-term manual working experience, and the production efficiency is improved. And the dependence on the experience and proficiency of personnel is eliminated.

Description

TECHNICAL FIELD

[0001] The utility model relates to online monitoring technical field, concretely is screw rod pump state online monitoring platform. BACKGROUND

[0002] Screw rod pump, also known as Archimedes screw pump, is a kind of pump that makes water body spiral rise along the axial direction by the rotation of spiral blade, compared with other hydraulic pumps, screw rod pump has the advantages of compact structure, small volume, no pulsation of flow and pressure, low noise, high allowable speed, strong self-priming capacity, long service life, therefore, it is widely used in water plant, in the use process of screw rod pump, the running parameters and indexes of screw rod pump equipment need to be monitored by host computer industrial control software mainly, but whether the state of screw rod pump equipment is normal still depends on artificial judgment, the current host computer software can only make judgment when screw rod pump equipment fails, host computer platform is used to show real-time production data, data is not processed and has no saving function, cannot directly give personnel the conclusion of current screw rod pump state, needs operating personnel to judge in real time according to data, and artificial judgment is very dependent on experience, artificial judgment can cause omissions, miss the best intervention period, cause greater loss. SUMMARY

[0003] The utility model aims at providing screw rod pump state online monitoring platform to solve the problems that current host computer platform cannot directly give personnel the conclusion of current screw rod pump state, needs operating personnel to judge in real time according to data, and artificial judgment is very dependent on experience.

[0004] To achieve the above object, the utility model provides the following technical scheme:

[0005] Screw rod pump state online monitoring platform, including screw rod pump assembly, monitoring module and state module, the screw rod pump assembly includes frequency converter, the frequency converter is used to adjust the rotational speed of screw rod pump, monitoring module, the monitoring module includes frequency monitor and flowmeter, the frequency monitor is electrically connected frequency converter, the frequency monitor is used to monitor the frequency H of frequency converter, the flowmeter is installed at screw rod pump liquid outlet, the flowmeter is used to monitor the flow Q of screw rod pump liquid outlet, state module, the state module is electrically connected monitoring module, the state module receives the frequency H data and flow Q transmitted by monitoring module, the frequency H is multiplied by fixed coefficient A to obtain design flow, the state module establishes screw rod pump efficiency The state module compares the calculated screw rod pump efficiency η and set efficiency value range, and then judges the screw rod pump state.

[0006] As a further scheme of the utility model: the screw pump state includes the wear degree, the wear degree reflects the wear state of the internal moving part of the screw pump, the wear degree is provided with several grades, the grade of the wear degree corresponds to the set efficiency value range, the screw pump efficiency η and the wear degree grade are compared to determine the wear grade of the screw pump.

[0007] As a further scheme of the utility model: the state module further includes the health degree B, the health degree B=(real-time screw pump efficiency η-minimum set efficiency value) X 100%, the health degree B is provided with several grades, and the health degree B is used to determine the health state of the screw pump.

[0008] As a further scheme of the utility model: the several grades of the health degree B are marked and displayed through colors, so that the corresponding mark color displays the health degree grade of the screw pump.

[0009] As a further scheme of the utility model: further include a prediction module, the prediction module is electrically connected with the state module, the state module receives the screw pump efficiency η data, the prediction module calculates the average efficiency drop value according to the screw pump running to the current screw pump efficiency η The prediction module establishes the expected service life So as to display the expected remaining service life of the screw pump.

[0010] As a further scheme of the utility model: the prediction module further includes an alarm device, when the expected remaining service life of the screw pump is less than a set value, the alarm device is started to warn the use state of the screw pump.

[0011] As a further scheme of the utility model: the alarm device includes a warning light and a buzzer, and the warning light and the buzzer respectively give light and sound warnings when the expected remaining service life of the screw pump is less than a set value.

[0012] Compared with the prior art, the utility model has the beneficial effects that:

[0013] 1、In the utility model, the frequency of the frequency converter of the screw pump is monitored through the detection module, and the outlet flow of the screw pump is monitored, the detection module inputs the monitored data into the state module, the state module calculates the current screw pump efficiency according to the frequency of the frequency converter and the outlet flow, compares the current screw pump efficiency with the set efficiency range, directly judges the state of the screw pump, quantifies the state of the screw pump through data, so as to achieve the purpose of online monitoring, and the personnel experience and proficiency are not relied on, and the unified standard is used to master the state of the production equipment itself in real time without long-term work experience of artificial, so that the use effect is good.

[0014] 2. The utility model discloses a life expectancy formula is established to the screw rod pump's life expectancy through the prediction module, and the service life of screw rod pump is expected through the life expectancy, and the service life of screw rod pump equipment is guided, and the subsequent arrangement screw rod pump's maintenance is convenient, and the prediction module still includes alarm equipment, and the alarm is carried out through the alarm equipment, when the screw rod pump expected remaining service life is less than the setting, the alarm equipment sends the alarm to remind the administrator timely maintenance replacement. BRIEF DESCRIPTION OF DRAWINGS

[0015] Figure 1 It is the monitoring platform structure schematic drawing of the utility model;

[0016] Figure 2 It is the monitoring module structure schematic drawing of the utility model;

[0017] Figure 3 It is the prediction module connecting structure schematic drawing of the utility model;

[0018] Figure 4 It is the prediction module structure schematic drawing of the utility model.

[0019] In the drawing: 1, screw rod pump assembly;2, monitoring module;3, state module;4, prediction module. DETAILED DESCRIPTION

[0020] The technical scheme in the embodiments of the utility model will be described clearly and completely below in conjunction with the drawings in the embodiments of the utility model. Obviously, the described embodiments are only part of the embodiments of the utility model, not all the embodiments. Based on the embodiments in the utility model, all other embodiments obtained by those skilled in the art without creative labor belong to the scope of protection of the utility model.

[0021] Embodiment:

[0022] Please refer to Figure 1 And Figure 2 In the embodiments of the utility model, the screw rod pump state online monitoring platform includes screw rod pump assembly 1, monitoring module 2 and state module 3, and the screw rod pump assembly 1 includes frequency converter, and the frequency converter is used to adjust the rotating speed of the screw rod pump;Monitoring module 2, the monitoring module 2 includes frequency monitor and flowmeter, and the frequency monitor is electrically connected with the frequency converter, and the frequency monitor is used to monitor the frequency H of the frequency converter, and the flowmeter is installed at the liquid outlet of the screw rod pump, and the flowmeter is used to monitor the flow Q of the liquid outlet of the screw rod pump;State module 3, the state module 3 is electrically connected with the monitoring module 2, and the state module 3 receives the frequency H data and flow Q transmitted by the monitoring module 2, and the frequency H is multiplied by the fixed coefficient A to obtain the design flow, and the state module 3 establishes the screw rod pump efficiency The state module 3 compares the calculated screw pump efficiency η with the set efficiency value range, and then judges the screw pump state.

[0023] The screw pump state online monitoring platform is applied to the screw pump detection in a water treatment plant.

[0024] The utility model discloses a detection module to screw pump's frequency converter's frequency is monitored, and the liquid outlet flow of screw pump is monitored simultaneously, and the detection module inputs the data of monitoring to state module 3, and state module 3 calculates the current screw pump efficiency according to the frequency of frequency converter and the liquid outlet flow, compares the current screw pump efficiency with the set efficiency range, judges the state of screw pump directly after comparing the current screw pump efficiency with the set efficiency range, and the state of screw pump is directly quantified through data, to reach the purpose of online monitoring, and the state of screw pump is judged without manual experience, saves manpower cost, and does not need to process and statistics complicated primary data, and the state of production equipment can be mastered in real time through unified standard without long-term work experience, eliminates the dependence on personnel experience and proficiency, and the use effect is good.

[0025] Specifically, the set efficiency value range has multiple ranges, and the multiple ranges are specifically ≥0.9,

[0026] [0.5,0.9), (0.12, 0.5), ≤0.12, when the current screw efficiency η is in the above range, correspond to the healthy state, the attention state, the warning state and the abnormal state respectively, the healthy state indicates that the screw pump is normal, the attention state indicates that the screw pump state needs attention, the warning state indicates that the screw pump needs warning and arrangement of screw pump maintenance, and the abnormal state indicates that the screw pump equipment is abnormal and cannot normally undertake the production task.

[0027] The screw pump speed and the frequency of the frequency converter have a direct proportional relationship, the frequency converter controls the speed of the screw pump by adjusting the frequency of the input power supply, when the frequency output by the frequency converter increases, the speed of the screw pump also increases accordingly, and vice versa, when the frequency output by the frequency converter decreases, the speed of the screw pump also decreases. This relationship is based on the calculation formula of motor speed: n=60×f / p, wherein n is the speed, f is the power frequency, and p is the pole pair number of the motor. Therefore, the output frequency f of the frequency converter can accurately obtain the speed n of the screw pump, the frequency of the frequency converter and the theoretical flow of the screw pump are fitted as a fixed coefficient A, and the frequency of the frequency converter of the corresponding type screw pump and the corresponding fixed coefficient are multiplied, so that the theoretical conveying flow of the corresponding type screw pump can be obtained. In addition, the frequency converter can not only adjust the frequency, but also adjust the output voltage to protect the motor from overvoltage, so as to ensure the safe operation of the motor.

[0028] Further, the frequency monitoring of the frequency monitor on the frequency converter can be realized by the following methods:

[0029] Analog method:

[0030] Direct measurement: Directly measure the output voltage and current of the frequency converter using an ammeter and a voltmeter, then calculate the actual operating frequency based on these values. Note that this method requires conversion according to the proportional relationship between the output frequency and output voltage of the frequency converter.

[0031] Digital display: Use devices such as tachometers to convert analog quantities to digital quantities for display. This method is relatively simple, but requires converting analog signals to digital signals, which may require the use of corresponding conversion modules or software.

[0032] AD module and PLC: Through PLC or other controllers, use AD modules to collect analog quantities and convert them to digital quantities, and then obtain the output frequency of the frequency converter. This method requires understanding of communication protocols and frequency converter communication instructions, and reading and analyzing data according to the specified method of the protocol.

[0033] Communication method:

[0034] Communication-based monitoring: The frequency converter supports communication methods, which can be connected to the host computer through communication cables, and then write corresponding programs in the host computer to read the output frequency of the frequency converter. This method requires understanding of communication protocols and frequency converter communication instructions, and reading and analyzing data according to the specified method of the protocol.

[0035] In this embodiment (not shown in the figure), the screw pump state includes the wear degree, which reflects the wear state of the moving parts inside the screw pump. The wear degree is set to several levels, and the level of the wear degree corresponds to the set efficiency value range. The screw pump efficiency η is compared with the wear degree level to determine the wear level of the screw pump. In the set efficiency value range matching the corresponding wear level, the wear level includes first wear, second wear, third wear, and fourth wear. First wear indicates that the wear degree of the screw pump is normal, second wear indicates that the wear degree of the screw pump is rising, third wear indicates that the wear degree of the screw pump is at a warning level and maintenance of the screw pump is arranged, and fourth wear indicates that the screw pump equipment is abnormally worn and cannot normally undertake production tasks, and needs to be stopped for repair.

[0036] In this embodiment (not shown in the figure), the state module 3 also includes a health degree B, and the health degree B = (real-time screw pump efficiency η - lowest set efficiency value) X 100%. The health degree B is set to several levels, and the health degree B is used to determine the health state of the screw pump. The real-time screw pump efficiency η is converted into the health degree B, and through the corresponding level of the health degree B value, the use state of the screw pump is better reflected, which is convenient for the user to observe.

[0037] Further, the health degree value is expressed in percentage, and the health degree grades are specifically 100%-90% (including 90%), 90%-80% (including 80%), 80%-60% (including 60%), and 60%-0, which correspond to health, attention, alert, and abnormality in turn.

[0038] In the embodiment (not shown in the figure), several grades of the health degree B are marked and displayed by colors, so that the corresponding mark colors display the screw pump health degree grades. The corresponding health degrees from high to low are green, yellow, orange, and red in turn, green represents normal, yellow represents a state of decline that needs attention, orange represents an abnormal device that needs attention, and red represents an abnormal device that cannot normally undertake production tasks.

[0039] Further, the health degree can also be marked by other colors, including but not limited to any four colors in red, orange, yellow, green, blue, and purple or any four colors formed by mixing three primary colors.

[0040] In the embodiment, as shown in Figure 3 , the prediction module 4 is further included, the prediction module 4 is electrically connected to the state module 3, the state module 3 receives the screw pump efficiency η data, and the prediction module 4 calculates the average efficiency decline value The prediction module 4 establishes the expected service life D of the screw pump according to the average efficiency decline value to display the expected remaining service life of the screw pump. The expected service life of the screw pump is calculated by the expected service life D formula established by the prediction module 4, the service life of the screw pump is expected by the expected service life, the service life of the screw pump device is guided, and the subsequent arrangement of the screw pump maintenance is facilitated, and the use effect is good.

[0041] In the embodiment, as shown in Figure 4 , the prediction module 4 further includes an alarm device, and the alarm device is started when the expected remaining service life of the screw pump is less than a set value, so as to warn the use state of the screw pump. The alarm device is alarmed, and when the expected remaining service life of the screw pump is less than a set value, the alarm device issues an alarm to remind the manager to maintain and replace in time.

[0042] In the embodiment, as shown in Figure 4 , the alarm device includes a warning light and a buzzer, and the warning light and the buzzer respectively perform light and sound warning when the expected remaining service life of the screw pump is less than a set value. The light and sound warning is performed by the warning light and the buzzer, and the manager is reminded in time by various alarm modes, and the use effect is good.

[0043] The above merely describes a preferred embodiment of the present application, and the protection scope of the present application is not limited thereto, and any skilled person in the art, according to the technical scheme and the inventive concept of the present application, makes equivalent replacement or change within the technical range disclosed by the present application, which should be covered within the protection scope of the present application.

Claims

1. A screw pump condition online monitoring platform, characterized in that, Comprising: A screw pump assembly, the screw pump assembly comprising a frequency converter, the frequency converter for adjusting the rotation speed of the screw pump; A monitoring module, the monitoring module comprising a frequency monitor and a flow meter, the frequency monitor electrically connected to the frequency converter, the frequency monitor for monitoring the frequency H of the frequency converter, the flow meter installed at the outlet of the screw pump, the flow meter for monitoring the flow Q of the outlet of the screw pump; A state module is electrically connected to the monitoring module, receives the frequency H data and flow Q transmitted by the monitoring module, multiplies the frequency H with a fixed coefficient A to obtain a design flow, and establishes a screw pump efficiency The state module compares the calculated screw pump efficiency η with a set efficiency value range, and further judges the screw pump state.

2. The online monitoring platform of screw pump condition according to claim 1, characterized in that: The screw pump state comprises a wear degree, the wear degree reflecting the wear state of the moving parts inside the screw pump, the wear degree being provided with a plurality of levels, the levels of the wear degree corresponding to the set efficiency value range, the screw pump efficiency η being compared with the wear degree level to determine the wear level of the screw pump.

3. The online monitoring platform of the screw pump state according to claim 2, characterized in that: The state module further comprises a health degree score B, the health degree B = (real-time screw pump efficiency η - lowest set efficiency value) X 100%, the health degree B being provided with a plurality of levels, the health degree B being used to determine the health state of the screw pump.

4. The online monitoring platform of screw pump condition according to claim 3, characterized in that: The plurality of levels of the health degree B are marked and displayed by colors, and the corresponding mark color displays the health degree level of the screw pump.

5. The online monitoring platform of screw pump condition according to claim 1, characterized in that: Also included is a prediction module electrically connected to the status module, the status module receiving screw pump efficiency η data, the prediction module calculating an average efficiency drop value from the current screw pump efficiency η based on the screw pump operation to display the expected remaining useful life of the screw pump.

6. The online monitoring platform of the screw pump status according to claim 5, characterized in that: The prediction module further comprises an alarm device, the alarm device being started when the expected remaining service life of the screw pump is less than a set value, to alert the use state of the screw pump.

7. The online monitoring platform of the screw pump status according to claim 6, characterized in that: The alarm device comprises a warning light and a buzzer, the warning light and the buzzer respectively giving light and sound alerts when the expected remaining service life of the screw pump is less than a set value.

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