CN111336100A - Water pump fault diagnosis system - Google Patents
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- CN111336100A CN111336100A CN202010281313.4A CN202010281313A CN111336100A CN 111336100 A CN111336100 A CN 111336100A CN 202010281313 A CN202010281313 A CN 202010281313A CN 111336100 A CN111336100 A CN 111336100A
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 212
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
- F04B51/00—Testing machines, pumps, or pumping installations
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
- F04B17/00—Pumps characterised by combination with, or adaptation to, specific driving engines or motors
- F04B17/03—Pumps characterised by combination with, or adaptation to, specific driving engines or motors driven by electric motors
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
- F04B49/00—Control, e.g. of pump delivery, or pump pressure of, or safety measures for, machines, pumps, or pumping installations, not otherwise provided for, or of interest apart from, groups F04B1/00 - F04B47/00
- F04B49/10—Other safety measures
Abstract
The present disclosure provides a water pump fault diagnosis system, including: the sound wave sensor is arranged close to the water pump and used for acquiring running sound data of the water pump; the processor is electrically connected with the sound wave sensor and used for determining the fault type of the water pump according to the operation sound data; and the memory is electrically connected with the processor and used for storing the operation sound data. The water pump fault diagnosis system provided by the disclosure can automatically diagnose water pump faults.
Description
Technical Field
The utility model relates to an electron electric power technical field particularly, relates to a water pump fault diagnosis system that can automatic diagnosis water pump trouble.
Background
In non-ferrous mine enterprises, the underground drainage pump is throat equipment for mine safety production, and once a fault occurs, great economic loss is caused, so that the maintenance of the water pump becomes one of key work contents of the non-ferrous mine enterprises.
Currently, during the operation of a drain pump, the following two failure diagnosis methods are generally employed:
the method comprises the following steps: a water pump inspection worker judges the running state of the water pump according to personal experience by adopting simple methods of hearing (hearing the sound of the water pump when the water pump runs by ears), touching (monitoring the change conditions of temperature, vibration and clearance of equipment by the touch of hands of the worker) and observing by eyes (observing whether parts on the equipment have looseness, cracks, other damages and the like by the vision of the worker). Because the operating state of the water pump is judged only by inspection personnel according to personal experience, the method is time-consuming and labor-consuming, and the operating state of the water pump cannot be effectively and accurately monitored in time so as to accurately judge the fault of the water pump.
The method 2 comprises the following steps: the water pump is provided with sensors for monitoring current, temperature, vibration, pressure, flow and the like, when a parameter of one sensor exceeds a preset value, the water pump control system correspondingly makes a protection action or an alarm according to the type and the size of an overproof parameter, and a maintainer checks the water pump according to fault data and verifies fault information. Because the diagnosis method is single, the fault diagnosis is only carried out by depending on the information of a certain acquisition terminal, and the method often has the condition of false alarm or missing report, particularly when the certain acquisition terminal has a fault or has insufficient precision. Therefore, the production is stopped without reason, the machine is repeatedly started and stopped or safety accidents occur, so that the waste of manpower and material resources, the improvement of the operation cost and the influence on the safe production are caused.
Therefore, the current water pump fault diagnosis technology has the problems of time and labor waste, time shortage, inaccuracy and unreliability, error report and failure report of water pump fault information, economic loss of enterprises, influence on safety production of the enterprises and the like.
It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
The purpose of the present disclosure is to provide a water pump fault diagnosis system, which is used to overcome the problems of insufficient monitoring strength and many fault judgment errors of downhole water pump faults caused by the limitations and defects of the related art at least to a certain extent.
According to an aspect of the present disclosure, there is provided a water pump fault diagnosis system including: the sound wave sensor is arranged close to the water pump and used for acquiring running sound data of the water pump; the processor is electrically connected with the sound wave sensor and used for determining the fault type of the water pump according to the operation sound data; and the memory is electrically connected with the processor and used for storing the operation sound data.
In an exemplary embodiment of the present disclosure, the memory is further configured to store preset sound data, where the preset sound data includes a plurality of sound data generated when the water pump operates under a plurality of operating conditions; the processor is configured to: comparing the operation sound data with the preset sound data; and when the similarity between the operation sound data and at least one of the preset sound data is greater than a threshold value, determining the fault type of the water pump according to the fault type corresponding to the preset sound data with the similarity greater than the threshold value.
In an exemplary embodiment of the disclosure, one or more of the following devices are also included: the temperature sensor is arranged on a bearing and/or a motor winding of the water pump, is electrically connected with the processor and is used for transmitting the acquired temperature data to the processor; the electric signal acquisition device is arranged on a power supply device of the water pump, is electrically connected to the processor and is used for transmitting acquired current data and voltage data to the processor; the vibration sensor is arranged at the driving end and the non-driving end of the motor of the water pump, is electrically connected with the processor and is used for transmitting the collected driving end vibration signal and non-driving end vibration signal to the processor; the pressure sensor is arranged at a water outlet pipe of the water pump, is electrically connected with the processor and is used for transmitting the collected outlet water pressure data to the processor; and the flow sensor is arranged at a water outlet pipe of the water pump, is electrically connected with the processor and is used for transmitting the collected operation flow data to the processor.
In an exemplary embodiment of the disclosure, the memory stores fault signature data corresponding to a plurality of fault categories, the fault signature data includes one or more of a temperature data fault signature, a current data fault signature, a voltage data fault signature, a drive-end vibration signal fault signature, a non-drive-end vibration signal fault signature, an outlet water pressure data fault signature, and an operating flow data fault signature, and the processor is further configured to: comparing non-sound data with the fault characteristic data, wherein the non-sound data comprises one or more of temperature data, current data, voltage data, driving end vibration signals, non-driving end vibration signals, outlet water pressure data and operation flow data; and determining the fault type of the water pump according to the comparison result of the non-sound data and the fault characteristic data.
In an exemplary embodiment of the disclosure, the fault feature data includes a fault threshold, and the determining the water pump fault type according to the comparison result between the non-sound data and the fault feature data includes: determining fault data in the non-sound data, wherein the fault data belong to a fault threshold range of corresponding data in the fault characteristic data; determining the similarity between the fault data and fault data types corresponding to a plurality of preset water pump fault types; and when one or more of the similarity exceeds a preset threshold value, determining the preset water pump fault type corresponding to the maximum similarity as the water pump fault type.
In an exemplary embodiment of the disclosure, the processor is configured to: and meanwhile, determining the type of the water pump fault according to the comparison result of the non-sound data and the fault characteristic data and the comparison result of the operation sound data and preset sound data.
In an exemplary embodiment of the present disclosure, the water pump fault diagnosis system further includes: and the communication module is electrically connected with the processor and used for responding to the fault information sending request from the processor and sending the water pump fault information to a preset communication object in a preset communication mode.
In an exemplary embodiment of the present disclosure, the water pump fault diagnosis system further includes: and the alarm module is electrically connected with the processor and used for responding to the fault alarm information from the processor and operating according to an alarm mode corresponding to the fault alarm information.
In an exemplary embodiment of the present disclosure, the alarm module is installed near the water pump.
In an exemplary embodiment of the present disclosure, the alarm module includes a voice playing unit, and the voice playing unit is configured to play an alarm voice corresponding to the fault alarm information.
According to the water pump fault type judgment method and the water pump fault type judgment device, the operation sound data of the water pump are used for judging the fault type of the water pump, the hidden fault of the water pump can be automatically judged in advance when the water pump has no substantial fault, the timeliness, the accuracy and the convenience of fault diagnosis are improved, the reliability, the stability and the continuity of water pump operation are improved, the operation and maintenance cost of mine enterprises is reduced, and the safety risk and the economic loss brought to the enterprises due to improper and insufficient maintenance of the water pump are reduced.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. It is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without the exercise of inventive faculty.
Fig. 1 schematically shows a block diagram of a water pump fault diagnosis system in one embodiment of the present disclosure.
Fig. 2 schematically shows a block diagram of a water pump fault diagnosis system in yet another embodiment of the present disclosure.
Fig. 3 schematically illustrates a block diagram of a water pump fault diagnosis system in yet another embodiment of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and the like. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.
Further, the drawings are merely schematic illustrations of the present disclosure, in which the same reference numerals denote the same or similar parts, and thus, a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
The following detailed description of exemplary embodiments of the disclosure refers to the accompanying drawings.
Fig. 1 schematically illustrates a block diagram of a water pump fault diagnosis system in an exemplary embodiment of the present disclosure.
Referring to fig. 1, a water pump fault diagnosis system 100 may include:
the sound wave sensor 1 is arranged close to the water pump and used for collecting operation sound data of the water pump;
the processor 2 is electrically connected with the acoustic wave sensor 1 and used for determining the fault type of the water pump according to the operation sound data;
and the memory 3 is electrically connected to the processor 2 and is used for storing the operation sound data.
The acoustic wave sensor 1 can convert various sound signals generated in the water pump operation site into electric signals, and in the embodiment of the disclosure, the collection range of the acoustic wave sensor 1 can be set to completely cover the sound frequency (for example, 20Hz to 12.5kHz) of the water pump operation site. When the water pump is operated, the sound wave sensor 1 can be arranged beside the water pump, is close to the water pump as much as possible, needs to be installed firmly and cannot shake. In order to prevent dust and water droplet pollution, the acoustic wave sensor 1 can be covered with a dustproof plastic cover (which cannot be tightened) or other dustproof and waterproof measures can be taken.
The memory 3 may be used to store the operating sound data collected by the acoustic wave sensor 1 for extraction and processing by the processor 2. Furthermore, in an embodiment of the present disclosure, the memory 3 may also store in advance an expert database for the processor 2 to perform water pump fault diagnosis. The expert database can record the corresponding relation between the running sound data of the water pump and the running state of the water pump, namely record the preset sound data corresponding to various running states of the water pump.
The processor 2 may be any one of a single chip, a server, a data center, a central monitor, a desktop computer, a notebook computer, a mobile phone, a tablet computer, and the like, for example, and the disclosure is not limited thereto.
The processor 2 can judge whether the water pump is in failure by reading the operation sound data from the acoustic wave sensor 1, and judge the type of the water pump failure when judging that the water pump is in failure. In an exemplary embodiment of the present disclosure, the operation sound data may be compared with preset sound data to determine whether the similarity between the operation sound data and at least one of the plurality of preset sound data is greater than a threshold. The method of comparison may be, for example, audio spectrum comparison based on a spectrum vector.
The real-time collected operation sound data can record more information, and the granularity of the operation sound data is compared with the preset sound data more finely, so that various types of water pump faults can be identified more accurately, and the monitoring efficiency and the diagnosis accuracy of the water pump faults can be greatly improved.
The water pump runs stably, when the performance is normal, the sound generated by running is very small, and the frequency, the amplitude and the timbre basically keep stable and orderly. Different faults caused by different elements, different parts and different working conditions cause abnormal different changes of frequency, amplitude and timbre of sound, such as: when the water pump part with relatively small size and relatively high strength has local defects or micro cracks, the generated sound is crisp and sharp, and the frequency of the sound is high; when larger cracks or defects occur on the parts of the water pump with relatively larger size and relatively lower strength, the generated sound is low in turbidity and lower in frequency. Therefore, the water pump fault diagnosis system provided by the application can automatically analyze the operation state of the water pump according to the collected operation sound data, and provide technical support for automatically providing a sound fault diagnosis report for a user subsequently and recommending pump maintenance measures to be taken.
In some embodiments, the water pump fault type corresponding to the preset sound data may be a hidden fault or an explicit fault. The operation of the water pump is not influenced by hidden faults, the water pump with the faults can normally complete work, but the overt faults are likely to occur after the water pump operates for a period of time; a dominant fault is a fault that affects the proper operation of the pump, such as a shutdown, a short circuit, a severe drop in flow, etc.
In the related art, only a dominant fault can be found by a general monitoring means, and a maintenance person is dispatched to a site to diagnose and repair a detailed kind of the dominant fault when the dominant fault occurs. Stealth failures are often difficult to detect while the pump is still operating properly. Because in the non-ferrous mine enterprise, the water pump is usually installed in the pit, and the recessive trouble often is difficult to monitor through conventional monitoring means such as voltage electric current, if the recessive trouble is to be found, avoid follow-up apparent trouble that influences the water pump operation that appears, need often send the on-the-spot inspection of people, greatly waste manpower, material resources and time. However, if diagnosis or repair is performed only when the overt failure occurs, economic loss is often unavoidable.
In this disclosed embodiment, can record the water pump operation sound that all kinds of hidden trouble correspond in advance to through comparing the operation sound data of real-time collection and the sound data of predetermineeing that all kinds of hidden trouble or dominant fault correspond, discover in time all kinds of hidden trouble or dominant fault, effectively avoid hidden trouble to evolve into the dominant fault and cause economic loss, can diagnose each type of trouble more accurately in time simultaneously, provide timely effectual warning and reference for maintainer field maintenance.
In the embodiment shown in fig. 1, because the operation sound data is of various types, preprocessing may be performed after the operation sound data is obtained, so as to extract audio features that are helpful for spectral vector analysis, thereby improving data analysis efficiency and comparison accuracy. Of course, the collected original operation sound data can also be used for comparison to ensure that any possible fault sound is not missed.
In the embodiment of the present disclosure, a threshold may be set for the spectrum vector analysis process, and when the similarity between the operation sound data and at least one of the plurality of preset sound data is greater than the threshold, the water pump fault type may be determined, or only a certain audio feature or certain audio features of the operation sound data and the preset sound data may be compared to determine which type of water pump fault type the operation sound data corresponds to.
For example, when the preset sound data corresponding to the water pump fault category of "small part cracks" is compared, the sound frequency in the operation sound data is determined according to the preset comparison characteristic "sound frequency" corresponding to the preset sound data, and if the difference value between the sound frequency in the operation sound data and the sound frequency in the preset sound data is within the preset range, it may be determined that the operation sound data and the water pump fault category have a higher corresponding probability.
In some embodiments, the probability value of the operation sound data corresponding to each water pump fault category may also be determined according to the numerical range of the similarity or the range of the difference between the audio features, and a judgment conclusion of a grade such as "suspected" or "highly suspected" may be given, so as to facilitate further diagnosis and repair by subsequent maintenance personnel. The fault type can be determined by comparing each characteristic in an isolated manner, or a plurality of characteristics can be connected for diagnosis, for example, the fault type of the water pump which may correspond to each characteristic can be determined when the plurality of audio characteristics are judged to be under the preset condition.
Besides audio comparison, in the embodiment of the present disclosure, other means may be assisted to perform more detailed water pump fault diagnosis.
Fig. 2 schematically illustrates a block diagram of a water pump fault diagnosis system in an exemplary embodiment of the present disclosure.
Referring to fig. 2, the water pump fault diagnosis system 200 may include:
the sound wave sensor 1 is arranged close to the water pump and used for collecting operation sound data of the water pump;
the processor 2 is electrically connected with the acoustic wave sensor 1 and used for determining the fault type of the water pump according to the operation sound data;
the memorizer 3, connect electrically to the processor 2, is used for storing and operating the sound data;
one or more of the following devices:
the temperature sensor 4 is arranged on a bearing of the water pump and/or a motor winding, is electrically connected with the processor and is used for transmitting the acquired temperature data to the processor;
the electric signal acquisition device 5 is arranged on a power supply device of the water pump, is electrically connected to the processor 2 and is used for transmitting acquired current data and voltage data to the processor 2;
the vibration sensor 6 is arranged at the driving end and the non-driving end of the motor of the water pump, is electrically connected to the processor 2, and is used for transmitting the collected driving end vibration signal and non-driving end vibration signal to the processor 2;
the pressure sensor 7 is arranged at a water outlet pipe of the water pump, is electrically connected with the processor 2 and is used for transmitting the collected outlet water pressure data to the processor 2;
and the flow sensor 8 is arranged at a water outlet pipe of the water pump, is electrically connected with the processor 2, and is used for transmitting the collected operation flow data to the processor 2.
The vibration sensor 6 can convert the mechanical vibration parameter into an electric signal, the electric signal is displayed and recorded after being amplified by an electronic circuit, and the signal can be output to the processor 2 in a current signal (such as 4-20 mA) or other forms.
The pressure sensor 7 is a device capable of converting pressure into an electric signal for control and remote transmission, and is capable of converting a pressure parameter of water sensed by a load cell (e.g., a pressure sensor) into a standard electric signal (e.g., 4-20 mA). It can be installed at the outlet pipe of the drain pump, monitor the outlet pressure of the drain pump, and send the collected signal to the processor 2.
The flow sensor 8 can measure the water flow in the water pipe in real time and send the collected signals to the processor 2.
In the embodiment shown in fig. 2, that is, when the water pump fault diagnosis system includes one or more of the devices 4 to 8, fault feature data corresponding to a plurality of fault types may be stored in the memory 3, where the fault feature data includes one or more of a temperature data fault feature, a current data fault feature, a voltage data fault feature, a driving-end vibration signal fault feature, a non-driving-end vibration signal fault feature, an outlet water pressure data fault feature, and an operating flow data fault feature, and corresponds to the device included in the water pump fault diagnosis system 200.
At this time, the processor 2 may compare the non-sound data with the fault feature data, and then determine the type of the water pump fault according to the comparison result of the non-sound data and the fault feature data. The non-sound data includes one or more of temperature data, current data, voltage data, driving-end vibration signals, non-driving-end vibration signals, outlet water pressure data and operation flow data, and corresponds to the equipment included in the water pump fault diagnosis system 200.
In the embodiment of the present disclosure, the fault feature data may include a fault threshold, and the processor 2 may first determine fault data in the non-acoustic data, which belongs to a fault threshold range of corresponding data in the fault feature data, then determine similarity between the fault data and fault data categories corresponding to a plurality of preset water pump fault categories, and finally determine the preset water pump fault category corresponding to the maximum similarity as the water pump fault category when one or more similarities exceed the preset threshold.
For example, one or more water pump fault categories to which such current values are likely to correspond may be determined based on a range of current values when the current exceeds a current threshold in the current data fault signature. If only the current exceeds the current threshold, determining the fault type of the water pump according to the current; if the data such as voltage, vibration and the like exceed the corresponding voltage threshold and vibration threshold in addition to the current, the fault type of the water pump can be comprehensively determined according to the type (current, voltage, vibration) of the data exceeding the threshold. Therefore, the data type of the super-threshold value and the numerical range of the data of the super-threshold value corresponding to each water pump fault type can be preset, so that the water pump fault type can be assisted and determined according to the comparison result of the non-sound data and the fault characteristic data.
If the water pump fault type determined according to the operation sound data is A and the water pump fault type determined according to the non-sound data is also A, determining that the water pump fault type is A; and if the water pump fault type determined according to the operation sound data is A and the water pump fault type determined according to the non-sound data is B, taking A and B as a suspected fault forming judgment result. In addition, when the types of the water pump faults pointed by the two comparison results are not identical, the confidence coefficient can be determined for each comparison result, and the comparison result with higher confidence coefficient is selected as the judgment result of the type of the water pump fault. There may be various methods for determining the type of the water pump fault using the comparison result of the operation sound data and the comparison result of the non-sound data, and the disclosure is not particularly limited thereto.
In an embodiment of the disclosure, the water pump fault type may be determined according to a comparison result of the non-sound data and the fault feature data, and a comparison result of the operation sound data and the preset sound data. For example, a corresponding fault data type and a fault data range may be set for each water pump fault type, and one or more fault data may be formed when one or more characteristics in the operation sound data exceed a preset threshold. These fault data from the operating sound data will be used as a reference for determining the type of water pump fault, along with fault data from the non-sound data.
For example, if it is determined that the values of the characteristic data 1 and the characteristic data 2 (such as frequency and amplitude) in the operating sound data exceed the threshold, and at the same time, it is determined that the characteristic data 3, 4 and 5 (such as temperature, pressure and current) in the non-sound data exceed the threshold, one with a higher matching degree can be found in the fault data category corresponding to each water pump fault category, and if it is finally determined that the fault a corresponds to the above characteristic data 1-5 and exceeds the threshold, it is convenient to determine that the water pump fault is a. Various comparison modes can be provided for the comprehensive operation sound data and the non-sound data, and the technical personnel in the field can set the comparison modes according to the experimental results under various working conditions.
FIG. 3 is a block diagram of a water pump fault diagnostic system in yet another embodiment of the present disclosure.
Referring to fig. 3, in addition to the devices 1-8, the water pump fault diagnosis system 300 may further include:
the communication module 9 is electrically connected to the processor 2, and is configured to respond to a fault information sending request from the processor 2 and send water pump fault information to a preset communication object in a preset communication manner;
the alarm module 10 is electrically connected to the processor 2 and is configured to respond to the fault alarm information from the processor 2 and operate in an alarm mode corresponding to the fault alarm information;
and the human-computer interaction module 11 is electrically connected to the processor and is used for providing an interaction interface for maintenance personnel and the processor 2.
The preset communication mode includes but is not limited to wired network, wireless network, cellular communication, infrared, bluetooth, short wave communication, etc., and the communication module 9 may also support various communication modes such as industrial ethernet, fieldbus, 485 bus, etc., and support various industrial ethernet protocols, various fieldbus protocols and Modbus protocols, wherein the Modbus protocol (Modbus protocol) is a serial communication protocol published by schneider electrical for communication using a programmable logic controller.
The water pump fault information can include not only diagnosed water pump fault types or water pump fault reports generated according to the water pump fault types, but also maintenance suggestions formed according to the water pump fault types, various historical data of the water pump and the like, so that maintenance personnel can improve the efficiency of well maintenance.
The alarm module 10 can be installed close to the water pump or the human-computer interaction module 11. When the alarm modules 10 are installed close to the water pumps, one alarm module 10 can be installed near each water pump or on the pump body shell, so that maintenance personnel can quickly locate a faulty water pump; when the alarm module 10 is installed near the human-computer interaction module 11, it can be installed in one or more monitoring rooms to remind maintenance personnel to check the fault report of the water pump.
In some embodiments, the alarm module 10 may include a voice playing unit for playing an alarm voice corresponding to the malfunction alarm information. In addition, the alarm module 10 may further include an LED warning light, a buzzer, and a noise reduction device. When a fault occurs, the LED warning lamp continuously flickers, the buzzer sends out warning sound, and the voice playing unit automatically broadcasts fault information to prompt maintenance personnel to check the equipment. The silencing device can be used for a user to close the voice playing unit or the buzzer, and the LED warning lamp can be automatically closed or manually closed after alarming or fault elimination.
The human-computer interaction module 11 includes, but is not limited to, a touch screen, a keyboard, a mouse, buttons, a display, and the like. The human-machine interaction module 11 may be provided, for example, in a monitoring room as an input/output interface of the processor 2.
In one embodiment of the present disclosure, the water pump fault diagnostic system 300 may be separately located as a unit near the water pump. For example, an electronic device including the acoustic sensor 1, the processor 2, the memory 3, the temperature sensor 4, the electric signal acquisition device 5, the vibration sensor 5, the pressure sensor 7, the flow sensor 8, the communication module 9, the alarm module 10 and the human-computer interaction module 11 may be provided corresponding to each water pump, so as to provide real-time monitoring, analysis and diagnosis for each water pump. The communication module 9 is connected with the remote monitoring platform in a preset communication mode, and sends a water pump fault diagnosis report, a maintenance suggestion and historical data to the remote monitoring platform in the monitoring room to remind maintenance personnel to maintain the water pump.
In another embodiment of the present disclosure, a water pump diagnostic system may also be provided for a plurality of water pumps on site. For example, a set of sound wave sensor 1, a set of temperature sensor 4, a set of electric signal acquisition device 5, a set of vibration sensor 5, a set of pressure sensor 7 and a set of flow sensor 8 may be separately provided for each water pump, the sound wave sensor 1, the temperature sensor 4, the set of electric signal acquisition device 5, the set of vibration sensor 5, the set of pressure sensor 7 and the set of flow sensor 8 of each water pump are all electrically connected with the same processor 2, and the processor 2 is only connected with one path of memory 3, the communication module 9 and the human-computer interaction module 11. In such embodiments, the alarm module 10 may be separately disposed beside each water pump, or may be disposed near the human-computer interaction module 11 to remind maintenance personnel to repair the water pump. At this time, the physical distance between the processor 2 and the water pump can be far, but the stable signal transmission distance of each sensor cannot be exceeded. The processor 2 can still be connected with a remote monitoring platform through the communication module 9, and sends a water pump fault diagnosis report, a maintenance suggestion and historical data to the remote monitoring platform in the monitoring room to remind maintenance personnel to maintain the water pump.
To sum up, this application is through inserting the sound when the water pump moves and the voltage, electric current, temperature, vibration and drain pipe pressure when the water pump moves, flow isoparametric inserts the treater together to carry out the integration of multidata degree of depth, synthesize according to expert's database and study and judge, can make the preliminary judgement to the recessive trouble of water pump is automatic, and can improve fault diagnosis's timeliness, accuracy, convenience, increase water pump reliability of operation, stability, continuity, reduce the fortune dimension cost of mine enterprise, reduce because of the water pump maintenance is improper, the security risk and the economic loss that bring for the enterprise of undermaintenance, the fault diagnosis who has solved current water pump fault diagnosis method existence wastes time and energy, untimely, inaccurate, the mistake reports, the fault scheduling problem is not reported.
It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
Furthermore, the above-described figures are merely schematic illustrations of processes involved in methods according to exemplary embodiments of the invention, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
Claims (10)
1. A water pump fault diagnostic system, comprising:
the sound wave sensor is arranged close to the water pump and used for acquiring running sound data of the water pump;
the processor is electrically connected with the sound wave sensor and used for determining the fault type of the water pump according to the operation sound data;
and the memory is electrically connected with the processor and used for storing the operation sound data.
2. The water pump fault diagnosis system of claim 1, wherein the memory is further configured to store preset sound data, the preset sound data including a plurality of sound data generated when the water pump operates under a plurality of operating conditions; the processor is configured to:
comparing the operation sound data with the preset sound data;
and when the similarity between the operation sound data and at least one of the preset sound data is greater than a threshold value, determining the fault type of the water pump according to the fault type corresponding to the preset sound data with the similarity greater than the threshold value.
3. The water pump fault diagnostic system of claim 1, further comprising one or more of the following:
the temperature sensor is arranged on a bearing and/or a motor winding of the water pump, is electrically connected with the processor and is used for transmitting the acquired temperature data to the processor;
the electric signal acquisition device is arranged on a power supply device of the water pump, is electrically connected to the processor and is used for transmitting acquired current data and voltage data to the processor;
the vibration sensor is arranged at the driving end and the non-driving end of the motor of the water pump, is electrically connected with the processor and is used for transmitting the collected driving end vibration signal and non-driving end vibration signal to the processor;
the pressure sensor is arranged at a water outlet pipe of the water pump, is electrically connected with the processor and is used for transmitting the collected outlet water pressure data to the processor;
and the flow sensor is arranged at a water outlet pipe of the water pump, is electrically connected with the processor and is used for transmitting the collected operation flow data to the processor.
4. A water pump fault diagnostic system as claimed in claim 3, wherein the memory stores fault signature data corresponding to a plurality of fault categories, the fault signature data including one or more of a temperature data fault signature, a current data fault signature, a voltage data fault signature, a drive-end vibration signal fault signature, a non-drive-end vibration signal fault signature, an outlet water pressure data fault signature, and an operating flow data fault signature, the processor further configured to:
comparing non-sound data with the fault characteristic data, wherein the non-sound data comprises one or more of temperature data, current data, voltage data, driving end vibration signals, non-driving end vibration signals, outlet water pressure data and operation flow data;
and determining the fault type of the water pump according to the comparison result of the non-sound data and the fault characteristic data.
5. The water pump fault diagnosis system according to claim 4, wherein the fault feature data includes a fault threshold, and the determining the water pump fault type according to the comparison result between the non-acoustic data and the fault feature data includes:
determining fault data in the non-sound data, wherein the fault data belong to a fault threshold range of corresponding data in the fault characteristic data;
determining the similarity between the fault data and fault data types corresponding to a plurality of preset water pump fault types;
and when one or more of the similarity exceeds a preset threshold value, determining the preset water pump fault type corresponding to the maximum similarity as the water pump fault type.
6. A water pump fault diagnosis system according to claim 4 or 5, wherein the processor is arranged to:
and meanwhile, determining the type of the water pump fault according to the comparison result of the non-sound data and the fault characteristic data and the comparison result of the operation sound data and preset sound data.
7. The water pump fault diagnostic system of claim 1, further comprising:
and the communication module is electrically connected with the processor and used for responding to the fault information sending request from the processor and sending the water pump fault information to a preset communication object in a preset communication mode.
8. The water pump fault diagnostic system of claim 1, further comprising:
and the alarm module is electrically connected with the processor and used for responding to the fault alarm information from the processor and operating according to an alarm mode corresponding to the fault alarm information.
9. The water pump fault diagnostic system of claim 8, wherein the alarm module is mounted proximate to the water pump.
10. The water pump fault diagnosis system according to claim 8 or 9, wherein the alarm module includes a voice playing unit, and the voice playing unit is configured to play an alarm voice corresponding to the fault alarm information.
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| CN202010281313.4A CN111336100A (en) | 2020-04-10 | 2020-04-10 | Water pump fault diagnosis system |
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| CN112460040A (en) * | 2020-11-23 | 2021-03-09 | 中国华能集团清洁能源技术研究院有限公司 | Pump sound wave monitoring system and method |
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