CN114576152A

CN114576152A - Water pump state monitoring system, monitoring method, device, electronic equipment and medium

Info

Publication number: CN114576152A
Application number: CN202011399008.1A
Authority: CN
Inventors: 史立群; 俞方杰; 闵新勇; 徐兰
Original assignee: Grundfos Holdings AS
Current assignee: Grundfos Holdings AS
Priority date: 2020-12-01
Filing date: 2020-12-01
Publication date: 2022-06-03
Anticipated expiration: 2040-12-01
Also published as: CN114576152B

Abstract

The disclosure provides a water pump state monitoring system, a water pump state monitoring method, a water pump state monitoring device, electronic equipment and a medium, and relates to the technical field of water pump control. Wherein, water pump condition monitoring system includes: the water pump controller is used for controlling the operation of the water pump and outputting a first group of working condition data of the water pump; the sensor is arranged on the water pump and used for acquiring a second group of working condition data of the water pump; the collector is respectively electrically connected with the water pump controller and the sensor and is used for receiving the first group of working condition data and the second group of working condition data; the collector executes a primary diagnosis operation on the running state of the water pump based on the first group of working condition data and/or the second group of working condition data to obtain a primary diagnosis result; the monitoring system further comprises: and the server is in communication connection with the collector and is used for receiving the primary diagnosis result sent by the collector and carrying out secondary diagnosis operation on the running state of the water pump according to the primary diagnosis result. According to the technical scheme, the running states of the water pumps are cooperatively monitored, diagnosed and detected.

Description

Water pump state monitoring system, monitoring method, device, electronic equipment and medium

Technical Field

The present disclosure relates to the field of water pump technologies, and in particular, to a water pump state monitoring system, a water pump state monitoring method, a water pump state monitoring apparatus, an electronic device, and a computer-readable storage medium.

Background

The water pump is a key device in the aspects of commercial buildings, district heating, civil buildings, industrial processes, industrial equipment, municipal water supply, municipal sewage and the like, and can cause great loss if a fault occurs.

And in order to monitor the running state of the water pump, the working condition data of the water pump is collected by arranging sensors with different functions in different areas of the water pump so as to detect whether running faults occur or not based on the working condition data.

Because just need set up a plurality of sensors on single water pump, if there is the operating mode that needs a plurality of water pumps operation in coordination, then need gather all operating mode data of a plurality of sensors on a plurality of water pumps, lead to there being following defect:

data irrelevant to the diagnosis of the operation fault of the water pump exists in all the working condition data acquired by the sensors, and if fault diagnosis is carried out based on all the working condition data, the reliability of a diagnosis result is influenced.

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 present disclosure is directed to a water pump condition monitoring system, a water pump condition monitoring apparatus, an electronic device, and a computer-readable storage medium, which overcome, at least to some extent, the problem of improving reliability of fault diagnosis of a water pump in the related art.

Additional features and advantages of the disclosure will be set forth in the detailed description which follows, or in part will be obvious from the description, or may be learned by practice of the disclosure.

According to an aspect of the present disclosure, there is provided a water pump condition monitoring system, including: the water pump controller is used for controlling the operation of the water pump and outputting a first group of working condition data of the water pump; the sensor is arranged on the water pump and used for acquiring a second group of working condition data of the water pump; the collector is respectively electrically connected with the water pump controller and the sensor and is used for receiving the first group of working condition data and the second group of working condition data; the collector is further used for carrying out primary diagnosis operation on the running state of the water pump based on the first group of working condition data and/or the second group of working condition data to obtain a primary diagnosis result; the water pump state detection system also comprises a server; and the server is in communication connection with the collector and is used for receiving the primary diagnosis result sent by the collector and carrying out secondary diagnosis operation on the running state according to the primary diagnosis result so as to obtain a secondary diagnosis result of the running state.

In one embodiment, the server is further configured to store historical operating condition data of the water pump and hardware data of the water pump, where the historical operating condition data includes a historical first set of operating condition data and a historical second set of operating condition data, set a diagnostic threshold based on the historical operating condition data and the hardware data, and send the diagnostic threshold to the collector; the collector is further configured to perform frequency-domain processing on the first set of operating condition data and the second set of operating condition data to obtain primary diagnostic data, and perform the primary diagnostic operation on the primary diagnostic data based on the diagnostic threshold to obtain the primary diagnostic result.

In one embodiment, the first set of operating condition data and/or the second set of operating condition data further includes a plurality of energy consumption parameters of the water pump; the collector is further used for receiving energy consumption parameters of the water pumps and configuring the operation modes of the water pumps based on the energy consumption parameters of the water pumps.

In one embodiment, the sensor comprises at least one of a vibration sensor, a temperature sensor, a flow sensor, a pressure sensor and a water level sensor, wherein the vibration sensor is mounted on at least one of a base, an outer cylinder, a pump head, a support base, a volute, a coupling and a motor of the water pump by means of magnetic attraction, threads or gluing.

In one embodiment, the collector is further used for generating a first alarm signal based on the primary diagnosis result and executing an alarm operation based on the first alarm signal; and/or water pump state monitoring system still includes monitor terminal, monitor terminal with server communication connection, the server is based on receiving first diagnostic result generates the second alarm signal, and will the second alarm signal send to monitor terminal, the server still be used for with the secondary diagnosis result send to monitor terminal.

According to another aspect of the present disclosure, there is provided a water pump condition monitoring method, including: receiving a first group of working condition data output by a water pump controller and/or a second group of working condition data acquired by a sensor; performing primary diagnosis operation on the running state of the water pump based on the first group of working condition data and/or the second group of working condition data to obtain a primary diagnosis result; and sending the primary diagnosis result to a server so that the server carries out secondary diagnosis operation on the running state of the water pump according to the primary diagnosis result.

In one embodiment, the performing a primary diagnostic operation on the operating state of the water pump based on the first set of operating condition data and/or the second set of operating condition data to obtain a primary diagnostic result includes: receiving a diagnosis threshold value sent by the server; performing frequency domain processing on the first group of working condition data and/or the second group of working condition data to obtain primary diagnosis data; and performing the primary diagnosis operation on the primary diagnosis data based on the diagnosis threshold value to obtain the primary diagnosis result.

In one embodiment, the first set of operating condition parameters and/or the second set of operating condition data further includes a plurality of energy consumption parameters of the water pump, the method further comprising: configuring a plurality of operating modes of the water pumps based on energy consumption parameters of the plurality of water pumps.

In one embodiment, before performing a primary diagnostic operation on the operating state of the water pump based on the first set of operating condition data and/or the second set of operating condition data to obtain a primary diagnostic result, the method further comprises: acquiring the first group of working condition data as historical first working condition data according to a preset acquisition period, and acquiring the second group of working condition data as historical second working condition data; and sending the historical first working condition data and the historical second working condition data to a server so that the server generates a historical fault library based on the historical first working condition data and the historical second working condition data.

In one embodiment, further comprising: and when the water pump is determined to be out of order based on the primary diagnosis result, generating a first alarm signal, and executing an alarm operation based on the first alarm signal.

According to still another aspect of the present disclosure, there is provided a water pump condition monitoring method, including: receiving a primary diagnosis result sent by a collector, wherein the primary diagnosis result is generated based on a primary diagnosis operation of the collector on the water pump; and performing secondary diagnosis operation on the operation state of the water pump based on the primary diagnosis result to obtain a secondary diagnosis result of the operation state.

In one embodiment, the primary diagnosis result includes a plurality of pieces of diagnosis information received in succession, and the performing a secondary diagnosis operation on the operation state of the water pump based on the primary diagnosis result to obtain the secondary diagnosis result of the operation state includes: performing a merge operation on the plurality of diagnostic information to generate a secondary diagnostic event; and executing secondary diagnosis operation on the secondary diagnosis event based on a preset diagnosis model to obtain a secondary diagnosis result, wherein the diagnosis model comprises an expert diagnosis model and/or a vibration fault rule model.

In one embodiment, the receiving the primary diagnosis result sent by the collector further includes: receiving associated diagnostic information of the primary diagnostic result sent by the collector, wherein the associated diagnostic information comprises a first group of working condition data and/or a second group of working condition data in a time period adjacent to the receiving time of the primary diagnostic result; generating a primary diagnostic waveform curve based on the primary diagnostic result and the correlated diagnostic information.

In one embodiment, each of the diagnostic information corresponds to one of the diagnostic profiles, and the performing a merge operation on the plurality of diagnostic information to generate a secondary diagnostic event includes: and performing overlapping operation on the time domain on the plurality of diagnostic waveform curves to obtain an overlapped waveform curve, so as to represent the secondary diagnostic event by adopting the overlapped waveform curve.

In one embodiment, the vibration fault rule model includes a historical fault library and a diagnosis rule library, the fault of the water pump includes a vibration fault, the secondary diagnosis operation is performed on the secondary diagnosis event based on a preset diagnosis model, and obtaining the secondary diagnosis result includes: extracting a fault characteristic curve matched with the superposed waveform curve from the historical fault library; performing fault detection processing on the fault characteristic curve based on the diagnosis rule base to determine a detection result of the vibration fault; and generating the secondary diagnosis result based on the detection result of the vibration fault.

In one embodiment, the vibration fault includes at least one of a bearing fault, a balance fault, a centering fault, a cavitation fault, a water hammer fault and an impeller fault, and the performing fault detection processing on the fault characteristic curve based on the diagnosis rule base to determine the detection result of the vibration fault includes: detecting the bearing fault based on a kurtosis of the fault signature curve waveform; and/or carrying out Fourier transform on the waveform frequency of the fault characteristic curve waveform to obtain a conversion parameter, and detecting the balance fault and/or the centering fault based on the conversion parameter; and/or detecting the cavitation fault and/or the water hammer fault based on a waveform frequency of the fault characteristic curve waveform; and/or detecting an impeller failure of the water pump based on the number of impeller blades.

In one embodiment, the generating the secondary diagnostic result based on the detection result of the vibration failure includes: when a plurality of detection results of the vibration faults are detected, calculating the confidence coefficient of the detection result of each vibration fault; and determining the detection result of the vibration fault with the highest confidence coefficient as the secondary diagnosis result.

In one embodiment, further comprising: and pushing the secondary diagnosis result to an adaptive monitoring terminal.

According to still another aspect of the present disclosure, there is provided a water pump condition monitoring apparatus including: the receiving module is used for receiving a first group of working condition data output by the water pump controller and/or a second group of working condition data acquired by the sensor; the pre-diagnosis module is used for performing primary diagnosis operation on the running state of the water pump based on the first group of working condition data and/or the second group of working condition data to obtain a primary diagnosis result; and the sending module is used for sending the primary diagnosis result to a server so that the server carries out secondary diagnosis operation on the running state of the water pump according to the primary diagnosis result.

According to still another aspect of the present disclosure, there is provided a water pump condition monitoring apparatus including: the receiving module is used for receiving a primary diagnosis result sent by a collector, and the primary diagnosis result is generated based on a primary diagnosis operation of the collector on the water pump; and the secondary diagnosis module is used for carrying out secondary diagnosis operation on the operation state of the water pump based on the primary diagnosis result so as to obtain a secondary diagnosis result of the operation state.

According to yet another aspect of the present disclosure, there is provided an electronic device including: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to execute any of the above described water pump condition monitoring systems via execution of executable instructions.

According to a seventh aspect of the present disclosure, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the water pump condition monitoring system of any one of the above.

The water pump state monitoring system and the method provided by the embodiment of the disclosure are characterized in that a collector which respectively establishes a connection relationship with a water pump controller, a sensor and a server is arranged, the collector generates failure monitoring data based on a first group of working condition data sent by the water pump controller and/or a second group of working condition data sent by the sensor, and sends a primary diagnosis result to the server,

(1) the collector is arranged to receive and collect the working condition data of the water pumps, and further, the generated primary diagnosis result is combined to realize the cooperative monitoring and diagnosis of the running states of the water pumps.

(2) The initial diagnosis result generated on the collector can realize the detection of whether the collector generates faults on the water pump or not so as to respond in time when the faults of the water pump such as vibration and the like are detected.

(3) The screening and preprocessing of the data before the data are sent to the server can be realized by the primary diagnosis result obtained based on the first group of working condition data and/or the second group of working condition data sent by the sensor, so that the pressure of data transmission between the server and the server is reduced, and the receiving and judging delay of invalid data by the server is reduced.

(4) Further, the server is used for completing secondary diagnosis operation based on the primary diagnosis result, and obtaining a more detailed secondary diagnosis result, so that the manufacturing cost and the operation power consumption of the collector 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 is a schematic diagram of a system structure of a water pump state monitoring system according to an embodiment of the present disclosure;

FIG. 2 shows a block diagram of a water pump condition monitoring system according to an embodiment of the present disclosure;

FIG. 3 is a block diagram of another water pump condition monitoring system according to an embodiment of the present disclosure;

FIG. 4 is a block diagram of a water pump condition monitoring system according to another embodiment of the present disclosure;

FIG. 5 is a flow chart illustrating a method for monitoring a water pump condition according to an embodiment of the present disclosure;

FIG. 6 is a flow chart illustrating another method of monitoring a condition of a water pump according to an embodiment of the present disclosure;

FIG. 7 is a flowchart illustrating a method for monitoring a water pump state according to another embodiment of the disclosure

FIG. 8 is a flow chart illustrating a method for monitoring a water pump status according to another embodiment of the disclosure

FIG. 9 is a flow chart illustrating a method for monitoring a water pump status according to another embodiment of the disclosure

FIG. 10 is a diagram illustrating a time-domain vibration waveform of a water pump according to an embodiment of the disclosure;

FIG. 11 shows a normal point waveform spectrum corresponding to FIG. 10;

FIG. 12 shows an anomaly waveform spectrum corresponding to FIG. 10;

FIG. 13 is a schematic diagram of a water pump condition monitoring apparatus according to an embodiment of the disclosure;

FIG. 14 is a schematic diagram of another water pump condition monitoring device in an embodiment of the present disclosure;

fig. 15 shows a schematic diagram of an electronic device in an embodiment of the 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.

Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description 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 water pump state monitoring system and the water pump state monitoring method can achieve monitoring of the running state of the water pump, and achieve comparison and analysis operation of the running trend of the water pump based on cloud platforms such as the server and the like, energy consumption analysis and optimization of the water pump system, maintenance planning of the water pump based on the cloud platforms, service life analysis and other functions by sending data including but not limited to primary diagnosis information to the server.

In addition, based on the water pump state monitoring system and method defined by the disclosure, the system and method can be applied to the water supply industry through monitoring the running state of the water pump, and based on a freezing/cooling water quality cloud monitoring platform, operations such as water use trend analysis and water supply quality cloud platform monitoring can be carried out.

Fig. 1 shows a schematic diagram of a water pump state monitoring system in an embodiment of the present disclosure, including:

and the water pump controller 140 is used for controlling the operation of the water pump 120 and outputting a first set of operating condition data of the water pump 120.

The water pump controller 140 may be installed on the water pump 120, and the water pump controller 140 may be a water pump unit controller for controlling a water pump having a plurality of motor drivers, or may be a motor driver for directly driving a motor to operate.

The water pump controller 140 establishes a wireless transmission channel with the collector 180 through wireless connection modes such as infrared connection, bluetooth connection, lan connection, and the like, and sends first operating condition data to the collector 180 based on the wireless transmission channel.

Additionally, water pump controller 140 may also obtain a first set of operating condition data for water pump 120, including, but not limited to, current, voltage, motor 1208 speed, water pump 120 energy consumption, runtime, and motor 1208 temperature, among others.

And the sensors 160 are arranged on the water pumps 120 and used for collecting a second group of operating condition data of the water pumps 120, wherein each water pump 120 is provided with at least one sensor 160.

Types of sensors 160 include, but are not limited to:

the wired vibration sensor 260 shown in fig. 2, the wireless vibration sensor 360 shown in fig. 3, and the temperature sensor 466, the flow sensor 462, the pressure sensor 464, the water level sensor (not shown in the figure) and the like shown in fig. 4,

the wired vibration sensor 260 in fig. 2 and the wireless vibration sensor 360 in fig. 3 use a connection mode and a data transmission mode as distinguishing points, the wired vibration sensor 260 is provided with a wired socket, and the wireless vibration sensor 360 is provided with a wireless transmission module.

In addition, the data acquisition mode is used as a distinguishing point, and the vibration sensor includes but is not limited to a mechanical vibration sensor, an optical vibration sensor, an electrical measurement vibration sensor and the like.

Accordingly, the second set of operating condition data includes, but is not limited to, vibration signals, temperature signals, flow signals, pressure signals, water level signals, and the like.

By combining the above-mentioned acquisition modes of the first group of working condition data and the second group of working condition data, the working condition data can be divided into four types, including: vibration data, process data, electrical appliance data and oil data.

And the output of the first set of operating condition data by the water pump controller 140 is also beneficial to reducing the number of sensors 160 that collect these operating condition data.

And the collector 180 is electrically connected with the water pump controller 140 and the sensor 160 respectively and is used for receiving the first group of working condition data and the second group of working condition data.

The collector 180 is further configured to perform a primary diagnosis operation on the operation state of the water pump 120 based on the first set of operating condition data and/or the second set of operating condition data, so as to obtain a primary diagnosis result.

The running states of the water pump comprise the running states of a bearing, an impeller, a shaft seal and a motor.

The collector 180 is provided with a wireless transmission module, such as a Wi-Fi module, a GPRS module, etc., and is connected to the controller and the sensor 160 through a wireless connection, and the collector 180 communicates with the water pump controller 140 through a Modbus-RTU communication protocol, a ModbusTCP communication protocol, a TCP/IP protocol, etc.

Or the collector 180 is provided with a wired transmission interface and is connected with the controller and the sensor 160 through wired connection.

Or the collector 180 is simultaneously provided with a wireless transmission module and a wired transmission interface, and is connected with one of the controller and the sensor 160 through wired connection, and is connected with the other of the controller and the sensor 160 through wireless connection.

Where the water pump controller 140 is a stack controller, the stack controller may control the operation of one or more water pumps 120.

When the water pump controller 140 is a motor driver, each motor driver correspondingly controls one water pump 120, and the plurality of controllers are all connected with the collector 180, so as to receive the first set of operating parameters and the second set of operating parameters of the plurality of water pumps 120.

Further, the collector 180 may perform a primary diagnosis operation only based on the first set of operating condition data, may perform a primary diagnosis operation only based on the second set of operating condition data, and may perform a primary diagnosis operation based on the first set of operating condition data and the second set of operating condition data.

The initial diagnosis operation may include a plurality of different embodiments, one embodiment is a preprocessing operation on the working condition data, that is, filtering out interference data based on a filtering operation to obtain an initial diagnosis result, if the obtained initial diagnosis result is obviously abnormal, the acquisition unit 180 directly generates an early warning signal, and further sends the initial diagnosis result to the server 200, and the server 200 performs specific fault diagnosis to complete the initial diagnosis operation in this manner.

Another way is that a pre-diagnosis model is pre-stored in the collector 180, the pre-diagnosis model is used to detect an operation fault affecting the safety of the water pump 120, a pre-diagnosis result is obtained by inputting the collected first set of operating condition data and/or the second set of operating condition data into the pre-diagnosis model, and if the pre-diagnosis result is abnormal, the pre-diagnosis result is sent to the second server 200 as a primary diagnosis result, so that the second server 200 further detects the generation cause of the operation fault and other potential operation faults based on the primary diagnosis result.

In addition, based on the four types of the division of the working condition data, the collected first group of working condition data and/or the second group of working condition data are clustered to obtain the working condition data to be processed, and the primary diagnosis result is obtained by combining the primary diagnosis operation.

Or performing fusion processing on all the first group of working condition data and/or the second group of working condition data to obtain multi-source comprehensive working condition data, and obtaining a primary diagnosis result by combining primary diagnosis operation.

Based on the above description, as shown in fig. 1, the collector 180 may be directly connected to the water pump controller 140 and the sensor 160, and upload the data to the cloud server 200, and perform monitoring, diagnosis and analysis together with the sensor 160 data collected and uploaded by the collector 180, so as to make an optimization suggestion.

The monitoring system further comprises a server 200, and the server 200 is in communication connection with the collector 180.

In order to establish a wireless transmission link with the corresponding server 200, the collector 180 sets a wireless transmission module to perform wireless communication by establishing a wireless transmission link with the server 200.

The server 200 is specifically configured to receive the primary diagnosis result sent by the collector 180, and perform a secondary diagnosis operation on the operation state according to the primary diagnosis result to obtain a secondary diagnosis result of the operation state.

The secondary diagnosis operation includes, but is not limited to, a fault diagnosis of an operation unbalance of the water pump 120, a fault diagnosis of a coupling misalignment of the water pump 120, a fault diagnosis of a bearing, a fault diagnosis of an impeller, a fault diagnosis of a cavitation fault, a fault diagnosis of a water hammer, a fault diagnosis of a dry-running fault, and the like.

The server 200 can more accurately determine the components that have failed and the cause of the failure by receiving the primary diagnosis result, detecting the operating state of the water pump 120, and finding a bad phenomenon in time, and issuing an alarm in the secondary diagnosis operation performed at the server 200 side compared to the primary diagnosis operation.

In this embodiment, by setting the collector 180 that establishes a connection relationship with the water pump controller 140, the sensor 160, and the server 200, the collector 180 generates an initial diagnosis result based on a first set of operation condition data sent by the water pump controller 140 and/or a second set of operation condition data sent by the sensor 160, and sends the initial diagnosis result to the server 200, on one hand, the collector 180 is set to receive and summarize operation condition data of a plurality of water pumps 120, and further, the generated initial diagnosis result is combined to implement cooperative monitoring and diagnosis of operation states of the plurality of water pumps 120, on the other hand, the initial diagnosis result generated on the collector 180 can implement detection of whether the water pump has a fault by the collector 180, so as to respond in time when a water pump fault such as vibration is detected, and on the other hand, the initial diagnosis result obtained based on the first set of operation condition data and/or the second set of operation condition data sent by the sensor can also implement detection of whether the water pump has a fault by the collector 180, and on the other hand, the initial diagnosis result obtained based on the first set of operation condition data and/or the second set of operation condition data sent by the sensor can also implement real time Now, the data is screened and preprocessed before being sent to the server 200, so that the pressure of data transmission with the server 200 is reduced, and the delay of receiving and judging invalid data by the server 200 is reduced.

Further, the server 200 completes the secondary diagnosis operation based on the primary diagnosis result and obtains a more detailed secondary diagnosis result, which is beneficial to reducing the manufacturing cost and the operation power consumption of the collector 180.

In one embodiment, the server 200 is further configured to store historical operating condition data of the water pump and hardware data of the water pump, where the historical operating condition data includes a historical first set of operating condition data and a historical second set of operating condition data, set a diagnostic threshold based on the historical operating condition data and the hardware data, and send the diagnostic threshold to the collector 180.

The hardware data includes, but is not limited to, static data input in advance, such as an index threshold calculated based on a water pump model, an installation condition, and a bearing type.

In addition, based on the national standard of water pump vibration, the vibration threshold is determined according to the installation height and the model.

The first set of operating condition data and the historical second set of operating condition data are adjusted in combination with the indicator threshold and the vibration threshold to determine a diagnostic threshold.

The historical operating condition data of water pump 120 is a first set of operating condition data and a second set of operating condition data received prior to a current operating time, including operating condition data received during a historical operating phase of water pump 120 prior to the current operating time, and operating condition parameters received prior to the current operating time during the current operating phase of water pump 120.

In addition, the server can also adjust the diagnosis threshold value based on a self-adaptive threshold value algorithm, and send the adjusted diagnosis threshold value to the collector to update and replace the original preset threshold value.

A first way to set diagnostic thresholds based on historical operating condition data includes: firstly classifying the working condition data to obtain a plurality of types of diagnostic data, such as the vibration data, the process data, the electrical appliance data and the oil data, and then respectively clustering each type of diagnostic data to obtain a diagnostic threshold value of each type of working condition data.

A second way to set diagnostic thresholds based on historical operating condition data includes: and performing fusion processing on all historical working condition data to obtain multi-source historical comprehensive working condition data, and performing clustering operation on the historical comprehensive working condition data to obtain a comprehensive diagnosis threshold value.

The collector 180 is further configured to perform frequency-domain processing on the first set of operating condition data and the second set of operating condition data to obtain primary diagnostic data, and perform a primary diagnostic operation on the primary diagnostic data based on a diagnostic threshold to obtain a primary diagnostic result. .

One implementation manner of performing the initial diagnosis operation on the first group of operating condition data and/or the second group of operating condition data based on the diagnosis threshold value includes classifying the first group of operating condition data and/or the second group of operating condition data, or after fusing the first group of operating condition data and/or the second group of operating condition data, comparing the classified first group of operating condition data and/or the second group of operating condition data with the diagnosis threshold value, and if the classified first group of operating condition data and/or the second group of operating condition data are not within a threshold value interval of the diagnosis threshold value, determining the classified first group of operating condition data and/or the second group of operating condition data as the initial diagnosis result.

In the embodiment, the first diagnosis data is obtained by performing frequency-domain processing (including integration, fourier transform and the like) on the first group of operating condition data and/or the second group of operating condition data, and the first diagnosis result is obtained by performing the first diagnosis operation on the first diagnosis data based on the diagnosis threshold, so that the pre-diagnosis operation at the collector end is realized, and the reliability of the first diagnosis result is favorably ensured.

In one embodiment, the first set of operating condition data and/or the second set of operating condition data includes flow and head, and the water pump controller 140 is further configured to output a flow head curve of the water pump 120 when the water pump unit controller is used as the water pump controller.

The collector 180 is further configured to obtain a flow head curve, and determine one of the flow and the head based on the flow head curve when the other of the flow and the head is received.

In this embodiment, the collector 180 obtains a water pump performance curve including a flow head curve stored in the controller, and thus, as long as one data of the flow and the head can be received, another data can be calculated based on the flow head curve, and the setting of the flow sensor 462 or the pressure sensor 464 can be reduced while ensuring the reliability of data acquisition.

In one embodiment, the first set of operating condition data and/or the second set of operating condition data further includes an energy consumption parameter of the plurality of water pumps 120.

The energy consumption parameter is used for reflecting a data index of energy consumption, and can be obtained by calculating received voltage data and current data.

The collector 180 is further configured to receive energy consumption parameters of the plurality of water pumps 120, and configure the operation modes of the plurality of water pumps 120 based on the energy consumption parameters of the plurality of water pumps 120.

In this embodiment, the collector 180 may extract energy consumption parameters from the first set of operating condition data and/or the second set of operating condition data, and compare the energy consumption parameters between the plurality of water pumps 120, so as to determine the water pumps 120 that are relatively energy-saving, and then, when the operation requirement of the water pumps 120 is met, configure the operation modes of the corresponding plurality of water pumps 120 based on energy-saving measures, so as to determine the water pumps 120 that need to be started, so as to implement an energy-saving scheme based on the collector 180, and control the operation of the corresponding water pumps 120 based on the energy-saving scheme.

For example, as shown in fig. 1, the plurality of water pumps 120 include No. 1 water pump 120, No. 2 water pump 120, and No. 3 water pump 120, as shown in fig. 13, if the collector 180 detects that the energy consumption of a single water pump 120 in the operation mode is significantly better than that of a plurality of water pumps 120 in parallel, the operation mode of a single No. 3 water pump 120 is executed, the collector 180 detects that the operation performance of No. 1 water pump 120 and No. 2 water pump 120 is higher than that of No. 3 water pump 120 in 3 water pumps 120 of the same model, and when the plurality of water pumps 120 are required to be operated in parallel, the No. 1 water pump 120 and No. 2 water pump 120 are preferentially operated under the condition of meeting the requirement of the operating condition.

In addition, as shown in fig. 2 And fig. 4, the collector 280 may also be connected to an SCADA system 220(Supervisory Control And Data Acquisition system, i.e., a Data Acquisition And monitoring Control system), so as to realize linkage joint Control with a working condition field.

Specifically, the sensor 160 is mounted in at least one of the water pumps 120 by magnetic attraction, threading, or gluing.

As shown in fig. 2, the collector 280 is separately provided outside the water pump 120.

As an arrangement of the wired vibration sensor 260, if one wired vibration sensor 260 is provided, the wired vibration sensor 260 is provided on one of the water pump base 1022, the water pump outer cylinder 1204, the water pump head 1206, the motor 1208, and the coupling 1210.

As another arrangement of the wired vibration sensor 260, if a plurality of wired vibration sensors 260 are provided, the plurality of wired vibration sensors 260 are respectively provided on the water pump base 1022, the water pump outer cylinder 1204, the water pump head 1206, the motor 1208 and the coupling 1210, so as to more accurately reflect the vibration condition of the water pump 120 based on the vibration data by collecting the vibration data of different positions of the water pump 120.

As shown in fig. 2, the wired vibration sensor 260 is a wired vibration sensor 260, and the wired vibration sensor 260 may be installed at the coupling 1210, the motor 1208, and the like. The water pump controller 140 controls one or more water pumps 120 to operate, and the collector 280180 may receive the operating condition data from the wired vibration sensor 260 and the water pump controller 140, respectively.

As shown in fig. 2, the vibration sensor is a wired vibration sensor 260, and the collector 280180 filters and uploads a signal, such as electromagnetic environment interference data, to ensure that the data is correct and stable.

As shown in fig. 3, the vibration sensor may also be a wireless vibration sensor 360, and as a preferred arrangement, the wireless vibration sensor 360 is disposed on the motor 1208 and/or the water pump supporting seat 1212, and the collector 380 may be integrated inside the wireless vibration sensor 360, so that in fig. 3, only the wireless vibration sensor 360 is visible, and after the collector 380 inside the wireless vibration sensor 360 performs pre-diagnosis on the second set of operating condition data received by the collector and the first set of operating condition data received by the water pump controller 140 through wireless communication, a primary diagnosis result is generated and uploaded to the server 200.

The wireless vibration sensor 360 has a battery built therein to supply power to the internal collector 380, the arithmetic chip, the wireless communication module, and the like.

Wireless vibration sensor 360 still has the characteristics of deployment convenience and explosion-proof etc. on the one hand, makes things convenient for current project to reform transform, and the specially adapted space requires lowly, requires to reform transform and implements fast scene, and on the other hand can be used for abominable operating mode environment, for example: boiler rooms, gas rooms, and the like.

In addition to the wired vibration sensor 260 shown in fig. 2 and the wireless vibration sensor 360 shown in fig. 3, as shown in fig. 4, the sensors further include a flow sensor 462, a pressure sensor 464, a temperature sensor 466, and the like, wherein the flow sensor 462 and the pressure sensor 464 may be installed at the water pump water outlet 1216, the water pump water outlet 1216 is disposed on the water pump volute 1214, and the temperature sensor 466 may be disposed on the outer wall of the motor 1208. The flow sensor 462, the pressure sensor 464 and the temperature sensor 466 are connected with the collector 480 to send collected flow condition data, water flow pressure condition data domain temperature condition data and the like to the collector 480.

In addition, the water pump has a sensor of a bearing or other components, and can also be connected to the data collector 480.

When determining that a fault is generated based on the primary diagnosis result, the system includes, but is not limited to, the following alarm modes:

in a first mode, the collector is further configured to generate a first alarm signal based on the primary diagnosis result, and perform an alarm operation based on the first alarm signal.

In a second mode, the water pump state monitoring system further comprises a monitoring terminal, the monitoring terminal is in communication connection with the server, the server generates a second alarm signal based on the received primary diagnosis result and sends the second alarm signal to the monitoring terminal, and the server is further used for sending the secondary diagnosis result to the monitoring terminal.

Hereinafter, each step in the water pump condition monitoring method according to the present exemplary embodiment will be described in more detail with reference to the drawings and examples.

Fig. 5 shows a flow chart of a water pump condition monitoring system in an embodiment of the present disclosure.

As shown in fig. 5, the collector executes a water pump state monitoring method, which includes:

step S502, receiving a first set of working condition data output by a water pump controller and/or a second set of working condition data collected by a sensor.

The first set of operating condition data and the second set of operating condition data are described in the foregoing, and are not limited herein.

And step S504, performing primary diagnosis operation on the running state of the water pump based on the first group of working condition data and/or the second group of working condition data to obtain a primary diagnosis result.

The primary diagnosis operation is used for detecting whether faults occur or not and for screening data.

And step S506, transmitting the primary diagnosis result to the server so that the server performs secondary diagnosis operation on the operation state of the water pump according to the primary diagnosis result.

In the embodiment, the collector which is respectively connected with the water pump controller, the sensor and the server is arranged, the collector generates a primary diagnosis result based on a first group of working condition data sent by the water pump controller and/or a second group of working condition data sent by the sensor, and sends the primary diagnosis result to the server, on one hand, the collector can receive and collect the working condition data of a plurality of water pumps, further, the generated primary diagnosis result is combined to realize the cooperative monitoring and diagnosis of the operation states of the plurality of water pumps, on the other hand, the primary diagnosis result is the diagnosis data for monitoring whether the water pumps have failure working conditions, on the other hand, the primary diagnosis result is sent to the server, on the other hand, the server can ensure the accuracy of the diagnosis of the water pump state by combining the characteristic that the server can collect big data, on the other hand, only the primary diagnosis result is sent to the server by controlling the collector end, the data transmission pressure between the server and the server is reduced, and the receiving of invalid data by the server is reduced.

In one embodiment, performing a primary diagnostic operation on an operating condition of the water pump based on the first set of operating condition data and/or the second set of operating condition data, the obtaining a primary diagnostic result includes: receiving a diagnosis threshold value sent by a server; carrying out frequency-domain processing on the first group of working condition data and/or the second group of working condition data to obtain primary diagnosis data; and performing primary diagnosis operation on the primary diagnosis data based on the diagnosis threshold value to obtain a primary diagnosis result.

In one embodiment, before performing a primary diagnosis operation on the operation state of the water pump based on the first set of operating condition data and/or the second set of operating condition data, the method further includes: acquiring a first group of working condition data as historical first working condition data according to a preset acquisition period, and acquiring a second group of working condition data as historical second working condition data; and sending the historical first working condition data and the historical second working condition data to a server so that the server generates a historical fault library based on the historical first working condition data and the historical second working condition data. In the embodiment, the first group of working condition data and the second group of working condition data are periodically received, the first group of working condition data and the second group of working condition data which are collected in a preset number of periods are used as historical working condition data, the duration working condition data are sent to the server, so that the server obtains a historical fault library based on the historical working condition data, and fault monitoring operation is further performed based on the historical fault library.

In one embodiment, the first set of operating condition data and/or the second set of operating condition data includes flow and water pump, the method further comprising: upon receiving one of the flow or the head of the water pump, the other of the flow or the head is determined based on the acquired flow head curve.

In this embodiment, the collector acquires the water pump performance curve including the flow head curve stored in the controller, and thus, as long as one data of the flow and the head can be received, another data can be calculated based on the flow head curve, and the setting of the flow sensor or the pressure sensor can be reduced while the reliability of data acquisition is ensured.

In one embodiment, the second set of operating condition data further includes energy consumption parameters for the plurality of water pumps, and the method further comprises: and configuring the operation modes of the plurality of water pumps based on the energy consumption parameters of the plurality of water pumps.

In this embodiment, the collector obtains the water pump performance curve including the flow head curve that is stored in the controller, so long as can receive one data in flow and the head, just can calculate another data based on the flow head curve like this, when guaranteeing data acquisition reliability, can reduce flow sensor or pressure sensor's setting.

The initial diagnosis operation of the collector can specifically comprise the following process state monitoring operation and alarm management operation.

The method comprises the steps of generating fusion data, and performing primary diagnosis operation on the overall running state of the water pump as an implementation mode of process state monitoring operation and alarm management operation.

Specifically, the first group of working condition data and the second group of working condition data are classified according to vibration data, process data, electrical appliance data and oil data, each type of data is endowed with a weight value, the data are fused based on the weight values to obtain fused data, the fused data are used as multi-source comprehensive indexes, and the overall operation state of the water pump is diagnosed in real time based on the multi-source comprehensive indexes.

Correspondingly, the diagnosis threshold corresponding to the fusion data is also a fusion threshold, and diagnosis of different operating states of the water pump is obtained by comparing the relationship between the fusion data and the fusion threshold.

The fusion threshold value can be automatically generated after self-learning according to the operation condition of the water pump.

As another embodiment of the process state monitoring operation and the alarm management operation, vibration data associated with the vibration is extracted from the first set of operating condition data and the second set of operating condition data to generate a vibration index to detect a vibration state of the water pump based on the vibration index.

Accordingly, the diagnosis threshold corresponding to the vibration index is a vibration diagnosis threshold, and the diagnosis of the vibration state of the water pump is obtained by comparing the relationship between the vibration index and the vibration diagnosis threshold.

As shown in fig. 6, a specific setting method of the diagnostic threshold includes:

and step S602, the water pump is started to operate.

And step S604, detecting that the water pump enters a stable operation state, and receiving a first group of working condition data and a second group of working condition data according to a preset detection period.

Step S606, when detecting that the number of the detection cycles reaches the preset number, determining the received first group of working condition data as historical first group of working condition data, and determining the second group of working condition data as historical second group of working condition data.

Step S608, detecting that the quality of the working condition data meets the calculation requirement, and setting a diagnosis threshold value based on the historical working condition data of the water pump.

As another implementation mode of the process state monitoring operation and the alarm management operation, each known fault type is subjected to index monitoring, and a diagnosis threshold value is used as a detection threshold value so as to realize pre-diagnosis of the fault state of the water pump.

Further, the collector can also integrate early warning program, and early warning program includes threshold value early warning and trend early warning, and wherein, threshold value early warning program includes: and when the condition data is detected to exceed the diagnosis threshold value, executing fault early warning, wherein the trend early warning program comprises the following steps: and when the fault trend is detected, early warning is carried out in advance.

Fig. 7 shows a flow chart of a water pump state monitoring system in an embodiment of the present disclosure.

As shown in fig. 7, the server executes a water pump state monitoring method, including:

and step S702, receiving a primary diagnosis result sent by the collector, wherein the primary diagnosis result is generated based on the primary diagnosis operation of the collector on the water pump.

And step S704, performing secondary diagnosis operation on the operation state of the water pump based on the primary diagnosis result to obtain a secondary diagnosis result of the operation state.

The secondary diagnosis result includes, but is not limited to, a specific fault type, a specific component generating a fault, and the like.

In the embodiment, the server end receives the primary diagnosis result, so that secondary diagnosis operation based on the primary diagnosis result is completed, and a more detailed secondary diagnosis result is obtained, and the manufacturing cost and the operation power consumption of the collector are reduced.

In one embodiment, the primary diagnosis result includes a plurality of pieces of diagnosis information received continuously, and performing a secondary diagnosis operation on the operation state of the water pump based on the primary diagnosis result to obtain the secondary diagnosis result of the operation state includes: performing a merge operation on the plurality of diagnostic information to generate a secondary diagnostic event; and executing secondary diagnosis operation on the secondary diagnosis event based on a preset diagnosis model to obtain a secondary diagnosis result, wherein the diagnosis model comprises an expert diagnosis model and/or a vibration fault rule model.

In this embodiment, a continuous plurality of diagnostic information (e.g., alarms spaced less than 5 minutes apart, limited to data from a single sensor) generated by the collector is used to facilitate the server in diagnosing particular vibration fault information based on the plurality of diagnostic information.

In one embodiment, receiving the primary diagnosis result sent by the collector further includes: receiving associated diagnostic information of a primary diagnostic result sent by a collector, wherein the associated diagnostic information comprises a first group of working condition data and/or a second group of working condition data in a time period adjacent to the receiving moment of the primary diagnostic result; a primary diagnostic waveform curve is generated based on the primary diagnostic result and the associated diagnostic information.

In one embodiment, each diagnostic information corresponds to a diagnostic waveform curve, and performing a merge operation on a plurality of diagnostic information to generate a secondary diagnostic event comprises: and performing superposition operation on the time domain on the plurality of diagnostic waveform curves to obtain a superposed waveform curve, so as to represent the secondary diagnostic event by adopting the superposed waveform curve.

In one embodiment, the vibration fault rule model includes a historical fault library and a diagnosis rule library, the fault of the water pump includes a vibration fault, a secondary diagnosis operation is performed on a secondary diagnosis event based on a preset diagnosis model, and obtaining a secondary diagnosis result includes: extracting a fault characteristic curve matched with the superposed waveform curve from a historical fault library; performing fault detection processing on the fault characteristic curve based on the diagnosis rule base to determine a detection result of the vibration fault; and generating a secondary diagnosis result based on the detection result of the vibration fault.

In one embodiment, further comprising: and pushing the secondary diagnosis result to the adaptive monitoring terminal.

And (4) performing primary judgment on each kind of data, and giving the corresponding probability of the threshold interval of each variable according to expert experience. The diagnosis result is given by the maximum probability and the confidence degree in the descending order.

A fault type corresponds to a group of failure monitoring parameters, fault diagnosis of unbalanced operation of a water pump is executed based on the failure monitoring parameters, fault diagnosis of misalignment of a coupler of the water pump, diagnosis of bearing faults, diagnosis of impeller faults, diagnosis of cavitation faults, diagnosis of water hammer faults, diagnosis of dry-running faults and the like are performed.

Specifically, as shown in fig. 8, the server executes a method for monitoring a state of the water pump, and further includes:

step S802, receiving the primary diagnosis result sent by the collector.

In step S804, a rotation speed waveform of the water pump is configured based on the primary diagnosis result.

In step S806, a bearing fault is detected based on the kurtosis of the rotation speed waveform.

And step S808, carrying out Fourier transform on the waveform frequency of the rotating speed waveform to obtain a conversion parameter, and detecting a balance fault and/or a centering fault based on the conversion parameter.

In step S810, a cavitation fault and/or a water hammer fault is detected based on a waveform frequency of the rotational speed waveform.

In step S812, the number of impeller blades of the water pump is determined based on the primary diagnosis result.

And step S814, detecting the impeller fault of the water pump based on the number of the impeller pieces.

Step S816 calculates confidence levels of a plurality of diagnostic faults.

And step S818, sequencing the plurality of diagnosed faults according to the confidence degrees, and pushing the sequencing results to the adaptive monitoring terminal.

In particular, the motor speed of the received failure monitoring parameter may be used as diagnostic data.

And carrying out Fourier transform on the frequency of the waveform corresponding to the rotating speed of the motor to obtain time-frequency domain information of the vibration signal, and diagnosing unbalanced faults and misaligned faults based on the time-frequency domain information.

In addition, the kurtosis of the waveform corresponding to the rotation speed of the motor is detected, and the fault of the bearing is detected based on the kurtosis.

And judging the impeller faults according to the number of the impeller pieces.

And if the high-frequency waveform of the waveform corresponding to the motor rotating speed is detected, judging that the cavitation fault occurs, and if the low-frequency waveform occurs, judging that the water hammer fault occurs.

The following further describes a state monitoring scheme of the water pump by combining data interaction between the collector and the server, and the state monitoring method of the water pump further comprises the following steps:

in step S902, the collector receives the first set of operating parameters and the second set of operating parameters.

In step S904, the collector receives the diagnosis threshold sent by the server.

And step S906, performing primary diagnosis operation on the first group of working condition parameters and the second group of working condition parameters based on the diagnosis threshold value and the pre-diagnosis model.

Step S908 is to generate a primary diagnosis result, and perform abnormality detection and warning operation based on the primary diagnosis result.

Step S910, performing fusion operation on the primary diagnosis result, and sending the fused primary diagnosis result to a server.

In step S912, the server generates an event to be diagnosed based on the primary diagnosis result.

In step S914, a secondary diagnosis operation is performed on the time to be diagnosed based on the expert experience.

Step S916, performing a secondary diagnosis operation on the time to be diagnosed based on a preset rule.

In step S918, a secondary diagnosis result is obtained.

For the failure processing mode, the server side may perform the following operations:

and performing fault diagnosis aiming at threshold value alarm based on the fault diagnosis result, and giving a fault diagnosis report which comprises fault positions, fault reasons, fault influences, fault processing suggestions and the like.

And setting different fault diagnosis algorithms based on water pumps of different models so as to realize self-adaptive adjustment of diagnosis operation.

In addition, a plurality of sensors of different types are arranged on the water pump to collect working condition data of different types, so that the fault diagnosis algorithm can be adaptively adjusted based on different operating conditions of the water pump, for example, the fault diagnosis algorithm can be adaptively adjusted along with the change of the rotating speed and the flow of the water pump.

In addition, a fault library can be arranged at the server side, fault diagnosis depends on the fault library, and the fault library comprises information such as fault representation, fault reasons, influences, processing suggestions and the like of typical faults.

The fault library also has a management function and supports the operations of checking, adding, editing, deleting and the like of faults.

On the premise of executing fault diagnosis based on a server, a work order is required to be developed by depending on a third-party work order system after a fault processing suggestion is formed, a work order state tracking function is achieved, and a fault database can be updated and adjusted according to the difference between the expected and actual conditions of the system after the work order is executed.

As shown in FIG. 10, two threshold curves T1 and T2 are shown in FIG. 10, and an accidental alarm occurs because the vibration quantity of the water pump exceeds the curve T1 occasionally.

The fault detection processing is performed on the time domain curve in fig. 10, and includes: the waveform spectrum analysis is performed on the normal alarm points to obtain a frequency curve as shown in fig. 11, and the waveform spectrum analysis is performed on the abnormal alarm points to obtain a frequency curve as shown in fig. 12, as shown in fig. 11 and 12, the main reason for causing the abnormal alarm is that the 242.5Hz component is increased, and simultaneously, the frequency doubling harmonic wave and the bottom lifting field are accompanied.

And (5) secondary diagnosis results: therefore, it is determined that cavitation may occur due to the influence of pressure or flow during the start-stop process of the pump.

And (4) trend prediction is carried out aiming at the trend alarm, the development direction of the fault is obtained, the normal operation time of the equipment is determined, and the occurrence probability is given so as to give the fault reason and maintenance suggestion of the fault.

And (4) predicting a maintenance plan, and giving a recommended maintenance time window and a maintenance method according to the result of the trend prediction and the production plan of the plant.

In addition, the residual service life of the water pump (based on a certain service life evaluation index) and the residual service life of the main components can be given based on fault case data and algorithm

It is to be noted that the above-mentioned figures are only schematic illustrations of the processes involved in the method according to an exemplary embodiment 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.

As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or program product. Thus, various aspects of the invention may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.

A water pump condition monitoring apparatus 1300 according to this embodiment of the invention is described below with reference to fig. 13. The water pump condition monitoring apparatus 1300 shown in fig. 13 is merely an example, and should not impose any limitation on the function and range of use of the embodiment of the present invention.

The water pump condition monitoring device 1300 is represented in the form of a hardware module. The components of the water pump condition monitoring apparatus 1300 may include, but are not limited to: a receiving module 1302, configured to receive a first set of operating condition data output by a water pump controller and/or a second set of operating condition data acquired by a sensor; a pre-diagnosis module 1304, configured to perform a primary diagnosis operation on an operation state of the water pump based on the first set of operating condition data and/or the second set of operating condition data, so as to obtain a primary diagnosis result; and a sending module 1306, configured to send the primary diagnosis result to the server, so that the server performs a secondary diagnosis operation on the operation state of the water pump according to the primary diagnosis result.

The water pump condition monitoring apparatus 1400 according to this embodiment of the invention is described below with reference to fig. 14. The water pump condition monitoring apparatus 1400 shown in fig. 14 is merely an example, and should not impose any limitation on the function and range of use of the embodiment of the present invention.

The water pump condition monitoring apparatus 1400 is represented in the form of a hardware module. The components of the water pump condition monitoring device 1400 may include, but are not limited to: the receiving module 1402 is configured to receive a primary diagnosis result sent by the collector, where the primary diagnosis result is generated based on a primary diagnosis operation of the collector on the water pump; and a secondary diagnosis module 1404, configured to perform a secondary diagnosis operation on the operation state of the water pump based on the primary diagnosis result to obtain a secondary diagnosis result of the operation state.

An electronic device 1500 according to this embodiment of the invention is described below with reference to fig. 15. The electronic device 1500 shown in fig. 15 is only an example and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.

As shown in fig. 15, electronic device 1500 is in the form of a general purpose computing device. The components of electronic device 1500 may include, but are not limited to: the at least one processing unit 1510, the at least one memory unit 1520, and the bus 1530 that connects the various system components (including the memory unit 1520 and the processing unit 1510).

Where the memory unit stores program code that may be executed by the processing unit 1010 to cause the processing unit 1510 to perform steps according to various exemplary embodiments of the present invention as described in the "exemplary methods" section above in this specification. For example, the processing unit 1010 may perform steps S502, S504 to S506 shown in fig. 5, steps S702 and S704 shown in fig. 7, and other steps defined in the water pump condition monitoring system of the present disclosure.

The storage unit 1520 may include readable media in the form of volatile storage units, such as a random access memory unit (RAM)15201 and/or a cache memory unit 15202, and may further include a read only memory unit (ROM) 15203.

Storage unit 1520 may also include a program/utility 15204 having a set (at least one) of program modules 15205, such program modules 15205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.

Bus 1530 may be any bus representing one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

The electronic device 1500 may also communicate with one or more external devices 1560 (e.g., keyboard, pointing device, Bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 1500 to communicate with one or more other computing devices. Such communications may be conducted through input/output (I/O) interfaces 1540. Also, electronic device 1500 can communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) through network adapter 1550. As shown, the network adapter 1550 communicates with the other modules of the electronic device 1500 over a bus 1530. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.

Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.

In an exemplary embodiment of the present disclosure, there is also provided a computer-readable storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, the various aspects of the invention may also be implemented in the form of a program product comprising program code means for causing a terminal device to carry out the steps according to various exemplary embodiments of the invention described in the above-mentioned "exemplary methods" section of this specification, when the program product is run on the terminal device.

According to the program product for realizing the method, the portable compact disc read only memory (CD-ROM) can be adopted, the program code is included, and the program product can be operated on terminal equipment, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

A computer readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).

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.

Moreover, although the steps of the methods of the present disclosure are depicted in the drawings in a particular order, this does not require or imply that the steps must be performed in this particular order, or that all of the depicted steps must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions, etc.

Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a mobile terminal, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.

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

1. A water pump condition monitoring system, comprising:

the water pump controller is used for controlling the operation of the water pump and outputting a first group of working condition data of the water pump;

the sensor is arranged on the water pump and used for acquiring a second group of working condition data of the water pump;

the collector is respectively electrically connected with the water pump controller and the sensor and is used for receiving the first group of working condition data and the second group of working condition data;

the collector is further used for carrying out primary diagnosis operation on the running state of the water pump based on the first group of working condition data and/or the second group of working condition data to obtain a primary diagnosis result;

the water pump state detection system also comprises a server;

and the server is in communication connection with the collector and is used for receiving the primary diagnosis result sent by the collector and carrying out secondary diagnosis operation on the running state according to the primary diagnosis result so as to obtain a secondary diagnosis result of the running state.

2. The water pump condition monitoring system of claim 1,

the server is further used for storing historical working condition data of the water pump and hardware data of the water pump, the historical working condition data comprises a historical first group of working condition data and a historical second group of working condition data, a diagnosis threshold value is set based on the historical working condition data and the hardware data, and the diagnosis threshold value is sent to the collector;

the collector is further configured to perform frequency-domain processing on the first set of operating condition data and the second set of operating condition data to obtain primary diagnostic data, and perform the primary diagnostic operation on the primary diagnostic data based on the diagnostic threshold to obtain the primary diagnostic result.

3. The water pump condition monitoring system of claim 1, wherein the first set of operating condition data and/or the second set of operating condition data further comprises energy consumption parameters of a plurality of the water pumps;

the collector is further used for receiving energy consumption parameters of the water pumps and configuring the operation modes of the water pumps based on the energy consumption parameters of the water pumps.

4. The water pump condition monitoring system according to any one of claims 1 to 3, wherein the sensor includes at least one of a vibration sensor, a temperature sensor, a flow sensor, a pressure sensor, and a water level sensor,

the vibration sensor is arranged at least one of the base, the outer barrel, the pump head, the supporting seat, the volute, the coupling and the motor of the water pump in a magnetic attraction, thread or gluing mode.

5. The water pump condition monitoring system according to any one of claims 1 to 3,

the collector is also used for generating a first alarm signal based on the primary diagnosis result and executing alarm operation based on the first alarm signal; and/or

The water pump state monitoring system further comprises a monitoring terminal, the monitoring terminal is in communication connection with the server, the server generates a second alarm signal based on the received primary diagnosis result and sends the second alarm signal to the monitoring terminal, and the server is further used for sending the secondary diagnosis result to the monitoring terminal.

6. A water pump state monitoring method is characterized in that a collector applied to a water pump state monitoring system comprises the following steps:

receiving a first group of working condition data output by a water pump controller and/or a second group of working condition data acquired by a sensor;

performing primary diagnosis operation on the running state of the water pump based on the first group of working condition data and/or the second group of working condition data to obtain a primary diagnosis result;

and sending the primary diagnosis result to a server so that the server performs secondary diagnosis operation on the running state of the water pump according to the primary diagnosis result.

7. The water pump condition monitoring method of claim 6, wherein performing a primary diagnostic operation on the operating condition of the water pump based on the first set of operating condition data and/or the second set of operating condition data to obtain a primary diagnostic result comprises:

receiving a diagnosis threshold value sent by the server;

performing frequency domain processing on the first group of working condition data and/or the second group of working condition data to obtain primary diagnosis data;

and performing the primary diagnosis operation on the primary diagnosis data based on the diagnosis threshold value to obtain the primary diagnosis result.

8. The water pump condition monitoring method of claim 6, wherein the first set of operating condition parameters and/or the second set of operating condition data further comprises a plurality of energy consumption parameters of the water pump, the method further comprising:

configuring a plurality of operation modes of the water pumps based on energy consumption parameters of the plurality of water pumps.

9. The water pump condition monitoring method according to any one of claims 6 to 8, wherein before performing a primary diagnostic operation on an operating condition of the water pump based on the first set of operating condition data and/or the second set of operating condition data to obtain a primary diagnostic result, the method further comprises:

acquiring the first group of working condition data as historical first working condition data according to a preset acquisition period, and acquiring the second group of working condition data as historical second working condition data;

and sending the historical first working condition data and the historical second working condition data to a server so that the server generates a historical fault library based on the historical first working condition data and the historical second working condition data.

10. The water pump condition monitoring method according to any one of claims 6 to 8, further comprising:

and when the water pump is determined to be out of order based on the primary diagnosis result, generating a first alarm signal, and executing an alarm operation based on the first alarm signal.

11. A water pump state monitoring method is characterized in that a server applied to a water pump state monitoring system comprises the following steps:

receiving a primary diagnosis result sent by a collector, wherein the primary diagnosis result is generated based on a primary diagnosis operation of the collector on the water pump;

and performing secondary diagnosis operation on the operation state of the water pump based on the primary diagnosis result to obtain a secondary diagnosis result of the operation state.

12. The water pump condition monitoring method according to claim 11, wherein the primary diagnostic result includes a plurality of pieces of diagnostic information that are continuously received, and the performing a secondary diagnostic operation on the operating condition of the water pump based on the primary diagnostic result to obtain the secondary diagnostic result of the operating condition includes:

performing a merge operation on the plurality of diagnostic information to generate a secondary diagnostic event;

and executing secondary diagnosis operation on the secondary diagnosis time based on a preset first diagnosis model to obtain a secondary diagnosis result.

13. The method for monitoring the state of the water pump according to claim 11, wherein the receiving the primary diagnosis result sent by the collector further comprises:

receiving associated diagnostic information of the primary diagnostic result sent by the collector, wherein the associated diagnostic information comprises a first group of working condition data and/or a second group of working condition data in a time period adjacent to the receiving time of the primary diagnostic result;

generating a primary diagnostic waveform based on the primary diagnostic result and the correlated diagnostic information.

14. The water pump condition monitoring method according to claim 13, wherein the performing a secondary diagnostic operation on the operating condition of the water pump based on the primary diagnostic result to obtain a secondary diagnostic result of the operating condition to generate a secondary diagnostic event comprises:

performing a time-domain superposition operation on the plurality of diagnostic waveform curves to obtain superposed waveform curves;

and performing secondary diagnosis operation on the superposed waveform curve based on a preset second diagnosis model to obtain a secondary diagnosis result, wherein the second diagnosis model comprises an expert diagnosis model and/or a vibration fault rule model.

15. The water pump condition monitoring method according to claim 14, wherein the vibration fault rule model includes a historical fault library and a diagnosis rule library, the fault of the water pump includes a vibration fault, and performing a secondary diagnosis operation on the superimposed waveform curve based on a preset second diagnosis model to obtain the secondary diagnosis result includes:

extracting a fault characteristic curve matched with the superposed waveform curve from the historical fault library;

performing fault detection processing on the fault characteristic curve based on the diagnosis rule base to determine a detection result of the vibration fault;

and generating the secondary diagnosis result based on the detection result of the vibration fault.

16. The water pump condition monitoring method according to claim 15, wherein the vibration fault includes at least one of a bearing fault, a balance fault, a centering fault, a cavitation fault, a water hammer fault, and an impeller fault, and the performing fault detection processing on the fault characteristic curve based on the diagnostic rule base to determine the detection result of the vibration fault includes:

detecting the bearing fault based on a kurtosis of the fault signature curve waveform; and/or

Carrying out Fourier transform on the waveform frequency of the fault characteristic curve waveform to obtain a conversion parameter, and detecting the balance fault and/or the centering fault based on the conversion parameter; and/or

Detecting the cavitation fault and/or the water hammer fault based on a waveform frequency of the fault signature curve waveform; and/or

Detecting an impeller failure of the water pump based on the number of impeller blades.

17. The water pump condition monitoring method according to claim 15, wherein the generating the secondary diagnostic result based on the detection result of the vibration fault includes:

when a plurality of detection results of the vibration faults are detected, calculating the confidence coefficient of the detection result of each vibration fault;

and determining the detection result of the vibration fault with the highest confidence coefficient as the secondary diagnosis result.

18. The water pump condition monitoring method according to any one of claims 11 to 17, further comprising:

and pushing the secondary diagnosis result to an adaptive monitoring terminal.

19. The utility model provides a water pump condition monitoring devices which characterized in that is applied to water pump condition monitoring system's collector, includes:

the receiving module is used for receiving a first group of working condition data output by the water pump controller and/or a second group of working condition data acquired by the sensor;

the pre-diagnosis module is used for performing primary diagnosis operation on the running state of the water pump based on the first group of working condition data and/or the second group of working condition data to obtain a primary diagnosis result;

and the sending module is used for sending the primary diagnosis result to a server so that the server carries out secondary diagnosis operation on the operation state of the water pump according to the primary diagnosis result and carries out the primary diagnosis result.

20. The utility model provides a water pump condition monitoring devices which characterized in that is applied to water pump condition monitoring system's server, includes:

the receiving module is used for receiving a primary diagnosis result sent by a collector, and the primary diagnosis result is generated based on a primary diagnosis operation of the collector on the water pump;

and the secondary diagnosis module is used for carrying out secondary diagnosis operation on the operation state of the water pump based on the primary diagnosis result so as to obtain a primary diagnosis result of the secondary diagnosis result of the operation state.

21. An electronic device, comprising:

a processor; and

a memory for storing executable instructions of the processor;

wherein the processor is configured to perform the water pump condition monitoring method of any one of claims 6 to 10 or the water pump condition monitoring method of any one of claims 11 to 18 via execution of the executable instructions.

22. A computer-readable storage medium on which a computer program is stored, wherein the computer program, when executed by a processor, implements the method for evaluating the water pump condition monitoring method according to any one of claims 6 to 18.