CN115342064A - Axial flow pump running state monitoring method and system - Google Patents
Axial flow pump running state monitoring method and system Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D15/00—Control, e.g. regulation, of pumps, pumping installations or systems
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D15/00—Control, e.g. regulation, of pumps, pumping installations or systems
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
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Abstract
The invention relates to the field of axial flow pumps and discloses a method and a system for monitoring the running state of an axial flow pump, wherein the method comprises the following steps: step1: establishing a monitoring database, setting a cloud backup period, and receiving all collected and operated data; step2: recording data of each axial flow pump to be monitored, deploying a vibration monitoring component at the axial flow pump, periodically acquiring vibration of each bearing and each shell and throw data of a pump shaft in the actual operation process after starting, deploying a hydraulic monitoring component, periodically acquiring water pressure and pulsation conditions of each overflowing component after starting, comparing and analyzing the vibration data and the hydraulic data with flow data by periodically acquiring the vibration data and the hydraulic data in the operation process of the axial flow pump, formulating a safe operation threshold value, timely compensating and adjusting after the acquired data exceed the safe threshold value range, directly butting rainfall historical adjustment parameters by matching and acquiring the rainfall and power supply data, and helping to subsequently finish rapid adjustment.
Description
Technical Field
The invention relates to the technical field of axial flow pumps, in particular to a method and a system for monitoring the running state of an axial flow pump.
Background
The axial-flow pump is a pump which makes liquid conveyed along the axial direction by the acting force of the blade of the rotary impeller on the liquid, and has a plurality of types of vertical, horizontal, inclined and through-flow, along with the universal development of the computer monitoring system of the water conservancy pump station, the automation degree of the water conservancy project is increasingly improved, the equipment management system which takes the MIS system as the leading part is also applied in a large quantity, the final purpose of the equipment management system is to finish the maintenance and the service of the equipment in the process, prolong the service life of the equipment, monitor the running state of the water pump unit, master the running state change trend of the equipment, effectively carry out preventive maintenance in time, realize online monitoring by the pump equipment running state monitoring and evaluating system, the working condition regulation of the axial-flow pump unit is an important means for adapting to the running condition change and ensuring the safe and efficient running of the unit;
however, the current method and system for monitoring the operation state of the axial flow pump have many disadvantages:
1. the method is characterized in that a measure for periodically acquiring the vibration data and the hydraulic data in the operation process of the axial flow pump and comparing and analyzing the vibration data and the hydraulic data with the flow data is lacked, a safe operation threshold range cannot be established by analyzing safe operation values in different flow states in the actual operation process, and after the acquired data exceed the safe threshold range, the adjustment cannot be rapidly and timely made up, so that the abnormal condition cannot be automatically repaired and prevented from being damaged or the loss is reduced;
2. the method is lack of a measure for tracing the source of the abnormal source, is difficult to help a user to know the fault hazard degree in time, and is difficult to quickly find out the adjacent child nodes at the fault position, so that the fault repair is delayed, and the loss is gradually enlarged;
3. the adjustment of the working condition of the axial-flow pump cannot be directly completed by analyzing the rainfall data and the power supply data in the next time interval, the learning through historical adjustment data is difficult, the adjustment work is automatically completed, and the shortening of the processing time and the reduction of loss are not facilitated.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects in the prior art, the invention provides an axial flow pump running state monitoring method and system, which can effectively solve the problems that the axial flow pump running state monitoring method and system in the prior art lack measures for periodically acquiring vibration data, hydraulic data and flow data in the running process of an axial flow pump to carry out comparison analysis, a safe running threshold range cannot be established by analyzing safe running numerical values in different flow states in the actual operation process, the acquired data cannot be quickly and timely compensated and adjusted after exceeding the safe threshold range, abnormal conditions are difficult to automatically repair and stop damage or reduce loss, measures for tracing abnormal sources are lacked, users are difficult to know the fault hazard degree in time, adjacent sub-nodes at fault positions are difficult to quickly troubleshoot, and further fault repair delay and loss are gradually enlarged.
(II) technical scheme
In order to achieve the above objects, the present invention is achieved by the following technical solutions,
the invention discloses an axial flow pump running state monitoring method, which comprises the following steps:
step1: establishing a monitoring database, setting a cloud backup period, and receiving all collected and operated data;
step2: linking an Internet of things end, acquiring current rainfall data in real time, intervening a hydraulic power grid, acquiring power supply data, recording axial flow pump data to be monitored, deploying a vibration and oscillation monitoring component at an axial flow pump, periodically acquiring vibration of bearings and shells and swing data of a pump shaft in the actual operation process after starting, deploying the hydraulic monitoring component, periodically acquiring water pressure and pulsation conditions of flow passing components after starting, setting a collection period in a user-defined mode, keeping the collection period of the rainfall data and the power supply data consistent with the collection period of the axial flow data pump, analyzing the collected data, and delivering the analyzed data to a management end;
step3: a flow monitoring component is arranged at an impeller water inlet of each axial flow pump to be monitored, a flow control component is arranged at a position where a water inlet pool is communicated with the impeller water inlet, the Internet of things is linked, a self-adaptive adjusting threshold value is set, and a control authority submitting management end is controlled;
step4: classifying the flow states, collecting numerical values of the oscillation data and the hydraulic data in the flow states of all levels, extracting the highest numerical value and the lowest numerical value to form a value range, and taking the value range as a safety parameter interval of the flow state of the corresponding level;
step5: after the axial flow pump is put into actual operation, receiving the oscillation data and the hydraulic data submitted in each period, comparing the data of the safety parameter interval in the current flow state, and when the received data is not hit, adjusting the flow control component within the self-adaptive adjustment threshold range, and opening the control authority corresponding to the flow control component at the axial flow pump;
step6: when the received data exceeds the value and the direction of the safety parameter interval, the flow control component performs downward adjustment in the range of the self-adaptive adjustment threshold value, and when the received data is lower than the value and the direction of the safety parameter interval, the flow control component performs upward adjustment in the range of the self-adaptive adjustment threshold value;
step7: analyzing the influence parameters of rainfall on the work load of the axial-flow pump in the next period, analyzing the current power supply fluctuation parameters, generating a corresponding label after abnormal data are collected, recording the corresponding adjustment parameters in Step6, automatically performing data matching on the collected rainfall parameters and the power supply fluctuation parameters in a database in the subsequent operation process, submitting the adjustment parameters of the corresponding label when hit occurs, and directly issuing execution end adjustment.
Step8: developing state self-checking of the monitoring equipment, and sending an operation parameter report to a management end;
step9: tracing the source of the abnormal source, recording source data and problem data, calculating the running efficiency of the axial flow pump, running to generate early warning information and submitting the early warning information to a management end;
step10: the management end issues early warning information and a processing command to adjacent child nodes at an abnormal source;
the specific process of downward adjustment and upward adjustment in Step6 comprises the following steps:
step601: judging downward adjustment, re-receiving the runout data and the hydraulic data, and executing gradual downward adjustment operation by using the adjustment logic when the secondary received data is lower than the primary received data until the received data hits a safe parameter interval;
step602: judging downward adjustment, re-receiving the runout data and the hydraulic data, and executing gradual upward adjustment operation by using the adjustment logic when the secondary received data is increased compared with the primary received data until the received data hits a safe parameter interval;
step603: in the gradual upward and downward adjustment process, when a data miss condition occurs and the adjustment logic is violated, the adaptive adjustment operation of the flow control unit is immediately terminated.
Further, specific monitoring objects of the runout monitoring component in Step2 include: the vibration of a pump shaft swing degree, the vibration of an impeller shell, the vibration of a water pump guide bearing, the vibration of a water pump combination bearing, the vibration of a high-speed bearing and a low-speed bearing of a gear box, a free end bearing of a motor and a drive end bearing of the motor.
Further, specific monitoring objects of the hydraulic monitoring component in Step2 include: impeller inlet pressure pulsation, impeller outlet pressure pulsation, guide vane inlet pressure pulsation, guide vane outlet pressure pulsation, and impeller front guide vane rear differential pressure.
Further, the calculation formula of the operation efficiency of the axial flow pump in Step8 is as follows: QUOTE
(ii) a In the formula, QUOTE
Represents axial flow pump efficiency in%; QUOTE
Representing the input power of the device, and the unit is kW; q represents the unit flow rate in QUOTE
/s； QUOTE 
Representing the axial-flow pump lift, and the unit is m; p represents the density of the liquid delivered by the axial pump in kg/QUOTE
。
An axial flow pump operating condition monitoring system, comprising:
the main control module is used for managing the operation of the system and editing and sending control instructions;
the oscillation acquisition module is used for acquiring hydraulic data of pressure pulsation, pressure and differential pressure measuring points of the axial flow pump and converting the hydraulic data into readable electric signals;
the hydraulic power acquisition module is used for acquiring the oscillation characteristic parameters of all parts of the axial flow pump and converting the oscillation characteristic parameters into readable electric signals;
the flow acquisition module is used for acquiring flow parameters output by the axial flow pump and converting the flow parameters into readable electric signals;
the analysis and comparison module is used for carrying out integrated analysis and comparison on the acquired data and calculating a numerical value according to the operation logic;
the flow regulating module is used for regulating and controlling the output flow of the axial pump;
the self-adaptive adjusting module is used for automatically editing, modifying and sending the flow adjusting command of the axial flow pump;
the early warning module is used for editing and sending alarm information after capturing abnormal data;
the distribution network module is used for configuring a link network of the monitored equipment and providing remote control operation authority of the monitored equipment;
the self-checking module is used for self-checking monitoring of the system, including real-time monitoring of the state of the sensor, and reporting when the state monitoring system or the sensor fails;
the storage module is used for storing all the acquired data and the operational data and supporting external reading and writing;
the login end is used for verifying login account information of the main node or the sub-node user;
and the source tracing module is used for tracing the source of the abnormal data.
Furthermore, a storage module is deployed on the main control module, the vibration and oscillation acquisition module, the hydraulic acquisition module and the flow acquisition module are connected with each other through a wireless network, the analysis and comparison module, the vibration and oscillation acquisition module, the hydraulic acquisition module and the flow acquisition module are connected with each other through a wireless network, the flow acquisition module is electrically connected with the flow regulation module, the flow regulation module is electrically connected with the distribution network module, the flow regulation module is connected with the early warning module through a wireless network, the flow regulation module is electrically connected with the self-adaptive regulation module, the main control module is electrically connected with the self-checking module, the main control module is connected with the tracing module through a wireless network, and the main control module is connected with the login end through a wireless network.
Furthermore, the distribution network module adopts a W5200 control chip and uses a TCP/IP protocol to support a low power consumption mode and a high-speed SPI interface.
Furthermore, the tracing content of the tracing module comprises axial flow pump lift, power, blade angle, water level of a water inlet tank, water level of a water outlet tank and monitoring hydraulic conditions.
(III) advantageous effects
Compared with the prior art, the technical scheme provided by the invention has the following beneficial effects,
1. according to the method, the vibration data and the hydraulic data in the operation process of the axial flow pump are periodically collected, the vibration data, the hydraulic data and the flow data are compared and analyzed, the safe operation numerical values of all parts of the axial flow pump in different levels of flow states are calculated, the safe operation threshold value is further formulated, the operation standard with the reference value is helped to be determined, the rainfall data and the power supply fluctuation data are synchronously collected, the adjustment parameters under the current data can be recorded when abnormal conditions occur, the matching can be performed in the subsequent collection process of the rainfall data and the power supply fluctuation data, the analysis stage of the axial flow pump data can be directly skipped when the rainfall data and the power supply fluctuation data are hit, the historical adjustment parameters are directly issued, the collection of the rainfall data can be facilitated, early warning measures can be conveniently made in advance, automatic adjustment can be performed in the continuous learning process, intelligent adjustment can save the processing time, loss is reduced or avoided to the greatest extent, and the safety in the operation or maintenance process is improved.
2. After the acquired data exceed the safety threshold range, the method can quickly and timely make up for adjustment, autonomously repair and stop loss or reduce loss of abnormal conditions, reduce economic loss caused by the failure of the axial flow pump, reduce the cost of maintenance expenditure, and improve the safety and stability of the axial flow pump during operation.
3. According to the method, the measures of timely tracing the abnormal source are added, the abnormal source is analyzed, the running efficiency of the loss of the axial flow pump is calculated, the information of the abnormal source is known in multiple aspects, a user is helped to know the abnormal hazard degree in time, a management end is helped to rapidly find out the adjacent sub-nodes of the fault position, a maintenance processing command is sent, the fault is further promoted to be repaired, and the loss is prevented from being continuously enlarged.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 is a schematic flow diagram of a method for monitoring an operating condition of an axial flow pump;
FIG. 2 is a schematic diagram of an axial flow pump operation state monitoring system;
FIG. 3 is a schematic flow chart of downward adjustment and upward adjustment according to the present invention;
the reference numbers in the figure respectively represent 1 and a main control module; 2. a runout acquisition module; 3. a hydraulic power acquisition module; 4. a flow acquisition module; 5. an analysis comparison module; 6. a flow regulation module; 7. self-adaptive adjusting modules; 8. an early warning module; 9. a network distribution module; 10. a self-checking module; 11. a storage module; 12. a login end; 13. and a source tracing module.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
The present invention will be further described with reference to the following examples.
Example 1
The method and system for monitoring the running state of the axial flow pump in the embodiment, as shown in fig. 1, include the following steps:
step1: establishing a monitoring database, setting a cloud backup period, and receiving all collected and operated data;
step2: linking an Internet of things end, acquiring current rainfall data in real time, intervening a hydraulic power grid, acquiring power supply data, recording data of each axial flow pump to be monitored, deploying a vibration monitoring component at the axial flow pump, periodically acquiring vibration of each bearing and each shell and throw data of a pump shaft in the actual operation process after starting, deploying the hydraulic monitoring component, periodically acquiring water pressure and pulsation conditions of each flow passage component after starting, performing custom setting on an acquisition cycle, keeping the acquisition cycle of the rainfall data and the power supply data consistent with that of the axial flow data pump, analyzing the acquired data and submitting the analyzed data to a management end;
step3: deploying a flow monitoring component at an impeller water inlet of each axial flow pump to be monitored, deploying a flow control component at a communication part of a water inlet pool and the impeller water inlet, linking the Internet of things, setting a self-adaptive adjusting threshold value and controlling a permission submission management end;
step4: classifying the flow state, collecting numerical values of the runout data and the hydraulic data in each level of flow state, extracting the highest numerical value and the lowest numerical value to form a value range, and taking the value range as a safety parameter interval of the corresponding level of flow state;
step5: after the axial flow pump is put into actual operation, receiving the oscillation data and the hydraulic data submitted in each period, comparing the data of the safety parameter interval in the current flow state, and when the received data is not hit, adjusting the flow control component within the self-adaptive adjustment threshold range, and opening the control authority corresponding to the flow control component at the axial flow pump;
step6: when the received data exceeds the value and the direction of the safety parameter interval, the flow control component performs downward adjustment in the range of the self-adaptive adjustment threshold value, and when the received data is lower than the value and the direction of the safety parameter interval, the flow control component performs upward adjustment in the range of the self-adaptive adjustment threshold value;
step7: analyzing the influence parameters of rainfall on the work load of the axial-flow pump in the next period, analyzing the current power supply fluctuation parameters, generating a corresponding label after abnormal data are collected, recording the corresponding adjustment parameters in Step6, automatically performing data matching on the collected rainfall parameters and the power supply fluctuation parameters in a database in the subsequent operation process, submitting the adjustment parameters of the corresponding label when hit occurs, and directly issuing execution end adjustment.
Step8: developing state self-check of the monitoring equipment, and sending an operation parameter report to a management end;
specific monitoring objects of the runout monitoring component in Step2 include: the vibration of a pump shaft swing degree, the vibration of an impeller shell, the vibration of a water pump guide bearing, the vibration of a water pump combination bearing, the vibration of a high-speed bearing and a low-speed bearing of a gear box, a free end bearing of a motor and a drive end bearing of the motor.
Specific monitoring objects of the hydraulic monitoring component in Step2 comprise: impeller inlet pressure pulsation, impeller outlet pressure pulsation, guide vane inlet pressure pulsation, guide vane outlet pressure pulsation, and front guide vane and rear guide vane differential pressure of the impeller.
In the embodiment, during specific implementation, by means of measures of periodically acquiring the oscillation data and the hydraulic data in the operation process of the axial flow pump, the oscillation data, the hydraulic data and the flow data are compared and analyzed, safe operation values of all parts of the axial flow pump in different levels of flow states are calculated, a safe operation threshold value is further formulated, an operation standard with a reference value is helped to be determined, the acquisition period can be set in a user-defined mode according to actual operation requirements, after the acquired data exceed the range of the safe threshold value, timely compensation and adjustment are performed, and autonomous repair loss prevention or loss reduction is performed on abnormal conditions;
the rainfall data and the power supply fluctuation data are synchronously acquired, the adjustment parameters under the current data can be recorded when abnormal conditions occur, the subsequent rainfall data and power supply fluctuation data can be matched in the acquisition process, the analysis stage of the axial flow pump data can be directly skipped when hits occur, the historical adjustment parameters are directly issued, automatic adjustment is carried out, the processing time can be saved through intelligent adjustment, and losses are avoided to the maximum extent.
Example 2
The present embodiment provides an axial-flow pump running state monitoring system, as shown in fig. 2, including:
the main control module 1 is used for managing the operation of the system and editing and sending control instructions;
the oscillation acquisition module 2 is used for acquiring hydraulic data of pressure pulsation, pressure and differential pressure measuring points of the axial flow pump and converting the hydraulic data into readable electric signals;
the hydraulic power acquisition module 3 is used for acquiring the oscillation characteristic parameters of all parts of the axial flow pump and converting the oscillation characteristic parameters into readable electric signals;
the flow acquisition module 4 is used for acquiring the flow parameters output by the axial flow pump and converting the flow parameters into readable electric signals;
the analysis and comparison module 5 is used for carrying out integrated analysis and comparison on the acquired data and calculating a numerical value according to an operation logic;
the flow regulating module 6 is used for regulating and controlling the output flow of the axial pump;
the self-adaptive adjusting module 7 is used for automatically editing, modifying and sending the flow adjusting command of the axial flow pump;
the early warning module 8 is used for editing and sending alarm information after capturing abnormal data;
the distribution network module 9 is used for configuring a link network of the monitored equipment and providing remote control operation permission of the monitored equipment;
the self-checking module 10 is used for self-checking monitoring of the system, including real-time monitoring of the state of the sensor, and reporting when the state monitoring system or the sensor fails;
the storage module 11 is used for storing all the acquired data and the operational data and supporting external reading and writing;
the login end 12 is used for verifying login account information of a main node user or a sub-node user;
and the source tracing module 13 is configured to trace a source of the abnormal data.
As shown in fig. 2, a storage module 11 is deployed on a main control module 1, the main control module 1, a vibration acquisition module 2, a hydraulic acquisition module 3 and a flow acquisition module 4 are interconnected through a wireless network, an analysis comparison module 5, the vibration acquisition module 2, the hydraulic acquisition module 3 and the flow acquisition module 4 are interconnected through a wireless network, the flow acquisition module 4 and a flow regulation module 6 are electrically connected, the flow regulation module 6 and a distribution network module 9 are electrically connected, the flow regulation module 6 and an early warning module 8 are interconnected through a wireless network, the flow regulation module 6 and a self-adaptive regulation module 7 are electrically connected, the main control module 1 and a self-inspection module 10 are electrically connected, the main control module 1 and a traceability module 13 are interconnected through a wireless network, and the main control module 1 and a login end 12 are interconnected through a wireless network.
The distribution network module 9 adopts a W5200 control chip and uses a TCP/IP protocol to support a low power consumption mode and a high-speed SPI interface.
The tracing content of the tracing module 13 comprises axial flow pump lift, power, blade angle, water level of a water inlet tank, water level of a water outlet tank and monitoring hydraulic conditions.
In the specific implementation of the embodiment, the overall situation is controlled by the main control module 1, the oscillation acquisition module 2, the hydraulic acquisition module 3 and the flow acquisition module 4 are deployed to an axial flow pump to be monitored, oscillation data is acquired by the hydraulic acquisition module 3, the hydraulic data is acquired by the oscillation acquisition module 2, the flow data is acquired by the flow acquisition module 4, the analysis and comparison module 5 provides operation and comparison of data, an error value is calculated, important information of frequency relevance and amplitude relevance is obtained, whether the value exceeds the standard or not and whether the value has resonance properties can be judged, the adaptive adjustment module 7 controls the flow adjustment module 6 to perform flow adjustment according to analysis data, the early warning data and adjustment data are reported by the early warning module 8, the distribution network module 9 is used for system link and provides the control authority of the flow adjustment module 6, the storage module 11 stores all operation data and acquisition data, the source tracing is performed on an abnormal source by the tracing module 13, an instruction is issued to an adjacent sub-node user, the sub-node logs in after verifying information by the distribution network module 12, the processing instruction is logged in, the operation of the system, the monitoring module 10 can check the self-monitoring operation condition of the system, the operation of the pump, and the self-checking, the operation condition can be judged, and the pump can be stably operated under the working condition that the water pump, and the working condition that the pump is stable water pump.
Example 3
In this embodiment, a specific flow of downward adjustment and upward adjustment of the flow control component is provided, as shown in fig. 3, including the following steps:
step601: judging downward adjustment, re-receiving the runout data and the hydraulic data, and executing downward adjustment operation step by using the adjustment logic when the secondary received data is lower than the primary received data until the received data hits a safe parameter interval;
step602: judging downward adjustment, re-receiving the runout data and the hydraulic data, and executing gradual upward adjustment operation by using the adjustment logic when the secondary received data is increased compared with the primary received data until the received data hits a safe parameter interval;
step603: in the gradual upward and downward adjustment process, when a data miss condition occurs and the adjustment logic is violated, the adaptive adjustment operation of the flow control unit is immediately terminated.
Through the arrangement, the system can be helped to gradually repair the abnormal condition, further gradually reduce or terminate the abnormal condition, and avoid the loss to a greater extent before the follow-up maintenance is implemented.
Example 4
In this embodiment, as shown in fig. 1, a tracing process is further provided, which includes:
step9: tracing an abnormal source, recording source data and problem data, calculating the operation efficiency of the axial flow pump, and generating early warning information by operation and submitting the early warning information to a management end;
step10: and the management end issues the early warning information and the processing command to the adjacent child nodes at the abnormal source.
The calculation formula of the operation efficiency of the axial flow pump in Step8 is as follows: QUOTE
(ii) a In the formula, QUOTE
Represents axial flow pump efficiency in%; quote
Representing the input power of the device, and the unit is kW; q represents the unit flow rate in QUOTE
/s； QUOTE 
Representing the axial-flow pump lift, and the unit is m; p represents the density of the liquid delivered by the axial flow pump in kg/QUOTE
。
According to the device, the abnormal source is analyzed, the running efficiency of the axial flow pump loss is calculated, information of the abnormal position is known in multiple aspects, a user is helped to know the abnormal hazard degree in time, the management end is helped to fast find out the adjacent sub-nodes of the fault position, the maintenance processing command is sent, and the fault repair is helped to be promoted.
In summary, in the invention, by taking measures of periodically acquiring the oscillation data and the hydraulic data in the operation process of the axial flow pump, the oscillation data, the hydraulic data and the flow data are compared and analyzed, safe operation values of all components of the axial flow pump in different levels of flow states are calculated, a safe operation threshold is further formulated, an operation standard with a reference value is helped to be determined, the acquisition period can be set by user according to actual operation needs, after the acquired data exceed the safe threshold range, compensation and adjustment are timely carried out, and autonomous repair and loss prevention or loss reduction are carried out on abnormal conditions;
the rainfall data and the power supply fluctuation data are synchronously acquired, the adjustment parameters under the current data can be recorded in case of abnormal conditions, the matching can be carried out in the subsequent acquisition process of the rainfall data and the power supply fluctuation data, the analysis stage of the axial flow pump data can be directly skipped when the rainfall data and the power supply fluctuation data are hit, the historical adjustment parameters are directly issued and automatically adjusted, the processing time can be saved by intelligent adjustment, the loss can be avoided to the maximum extent,
the abnormal source is analyzed, the running efficiency of the axial flow pump loss is calculated, abnormal information is known in multiple aspects, a user is helped to know the abnormal hazard degree in time, the management end is helped to fast find out adjacent child nodes at the fault position, maintenance processing commands are sent, and the fault repair is helped to be promoted.
In the actual operation process, the main control module 1 is used for controlling the overall situation, the oscillation acquisition module 2, the hydraulic acquisition module 3 and the flow acquisition module 4 are deployed to an axial flow pump to be monitored, oscillation data are acquired through the hydraulic acquisition module 3, the hydraulic data are acquired through the oscillation acquisition module 2, the flow data are acquired through the flow acquisition module 4, the analysis comparison module 5 is used for providing operation and comparison of data, calculating an error value to obtain important information of frequency relevance and amplitude relevance, whether the numerical value exceeds the standard or not and whether the numerical value has resonance property or not can be judged, the self-adaptive adjustment module 7 is used for controlling the flow adjustment module 6 to adjust the flow according to the analysis data, the early warning module 8 is used for reporting alarm data and adjustment data, the distribution network module 9 is used for system link and providing the control authority of the flow adjustment module 6, the storage module 11 is used for storing all the operation data and the acquisition data, the tracing on abnormal sources is performed through the tracing module 13, instructions are distributed to adjacent sub-node users, the sub-node user logs in the system after verifying information through the login terminal 12, logs in the processing instructions, the monitoring module 10 can check the operation conditions of the operation of the water pump, and can judge whether the operation stability of the operation of the pump, and the operation condition of the pump, and the operation of the pump, and the working condition of the pump.
The above examples are only intended to illustrate the technical solution of the present invention, and not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (8)
1. An axial flow pump running state monitoring method is characterized by comprising the following steps:
step1: establishing a monitoring database, setting a cloud backup period, and receiving all collected and operated data;
step2: linking an Internet of things end, acquiring rainfall data, intervening in a hydraulic power grid, acquiring power supply data, recording data of each axial flow pump to be monitored, deploying a vibration and oscillation monitoring component at the axial flow pump, periodically acquiring vibration data of each bearing and each shell and swing data of a pump shaft in the actual operation process after starting, deploying the hydraulic monitoring component, periodically acquiring water pressure and pulsation conditions of each flow passage component after starting, performing custom setting on an acquisition cycle, keeping the acquisition cycle of the rainfall data and the power supply data consistent with the acquisition cycle of the axial flow data pump, analyzing the acquired data, and submitting the analyzed data to a management end;
step3: deploying a flow monitoring component at an impeller water inlet of each axial flow pump to be monitored, deploying a flow control component at a communication part of a water inlet pool and the impeller water inlet, linking the Internet of things, setting a self-adaptive adjusting threshold value and controlling a permission submission management end;
step4: classifying the flow state, collecting numerical values of the runout data and the hydraulic data in each level of flow state, extracting the highest numerical value and the lowest numerical value to form a value range, and taking the value range as a safety parameter interval of the corresponding level of flow state;
step5: after the axial flow pump is put into actual operation, receiving the oscillation data and the hydraulic data submitted in each period, performing data comparison on a safety parameter interval in the current flow state, and when the received data is not hit, adjusting the flow control component within the self-adaptive adjustment threshold range to open the control authority corresponding to the flow control component at the axial flow pump;
step6: when the received data exceeds the position of the safety parameter interval, the flow control component performs downward adjustment in the range of the self-adaptive adjustment threshold value, and when the received data is lower than the position of the safety parameter interval, the flow control component performs upward adjustment in the range of the self-adaptive adjustment threshold value;
step7: analyzing the influence parameters of rainfall on the working capacity of the axial-flow pump in the next period, analyzing the current power supply fluctuation parameters, generating corresponding labels after abnormal data are collected, recording the corresponding adjustment parameters in Step6, automatically performing data matching on the collected rainfall parameters and the power supply fluctuation parameters in a database in the subsequent operation process, submitting the adjustment parameters of the corresponding labels when hit conditions occur, and directly issuing execution end adjustment;
step8: developing state self-checking of the monitoring equipment, and sending an operation parameter report to a management end;
step9: tracing the source of the abnormal source, recording source data and problem data, calculating the running efficiency of the axial flow pump, running to generate early warning information and submitting the early warning information to a management end;
step10: the management end issues early warning information and a processing command to adjacent child nodes at an abnormal source;
the specific process of downward adjustment and upward adjustment in Step6 comprises the following steps:
step601: judging downward adjustment, re-receiving the runout data and the hydraulic data, and executing downward adjustment operation step by using the adjustment logic when the secondary received data is lower than the primary received data until the received data hits a safe parameter interval;
step602: judging downward adjustment, re-receiving the runout data and the hydraulic data, and executing gradual upward adjustment operation by using the adjustment logic when the secondary received data rises compared with the primary received data until the received data hits a safe parameter interval;
step603: in the gradual upward and downward adjustment process, when a data miss condition occurs and the adjustment logic is violated, the adaptive adjustment operation of the flow control unit is immediately terminated.
2. The method for monitoring the running state of the axial flow pump according to claim 1, wherein specific monitoring objects of the runout monitoring component in Step2 comprise: the vibration of the pump shaft throw, the vibration of the impeller shell, the vibration of a guide bearing of the water pump, the vibration of a combined bearing of the water pump, the high-speed and low-speed bearings of the gear box, the free end bearing of the motor and the vibration of a drive end bearing of the motor.
3. The method for monitoring the running state of the axial flow pump according to claim 1, wherein specific monitoring objects of the hydraulic monitoring component in Step2 comprise: impeller inlet pressure pulsation, impeller outlet pressure pulsation, guide vane inlet pressure pulsation, guide vane outlet pressure pulsation, and impeller front guide vane rear differential pressure.
4. The method for monitoring the running state of the axial flow pump according to claim 1, wherein the calculation formula of the running efficiency of the axial flow pump in Step8 is as follows:
QUOTE
；
in the formula, QUOTE
Represents axial flow pump efficiency in%;
QUOTE 
representing the input power of the device, and the unit is kW;
q represents the unit flow rate in QUOTE
/s；
QUOTE 
Representing the axial-flow pump lift, and the unit is m;
p represents the density of the liquid delivered by the axial pump in kg/QUOTE
。
5. An axial flow pump operation state monitoring system for implementing the axial flow pump operation state monitoring method according to any one of claims 1 to 5, comprising:
the main control module (1) is used for managing the operation of the system and editing and sending control instructions;
the oscillation acquisition module (2) is used for acquiring hydraulic data of pressure pulsation, pressure and differential pressure measuring points of the axial flow pump and converting the hydraulic data into readable electric signals;
the hydraulic power acquisition module (3) is used for acquiring the characteristic parameters of the runout of each component of the axial-flow pump and converting the characteristic parameters into readable electric signals;
the flow acquisition module (4) is used for acquiring the flow parameters output by the axial flow pump and converting the flow parameters into readable electric signals;
the analysis and comparison module (5) is used for carrying out integrated analysis and comparison on the acquired data and calculating a numerical value according to the operation logic;
the flow regulating module (6) is used for regulating and controlling the output flow of the axial pump;
the self-adaptive adjusting module (7) is used for automatically editing, modifying and sending the flow adjusting command of the axial flow pump;
the early warning module (8) is used for editing and sending alarm information after capturing abnormal data;
the distribution network module (9) is used for configuring a link network of the monitored equipment and providing remote control operation permission of the monitored equipment;
the self-checking module (10) is used for self-checking monitoring of the system, including real-time monitoring of the state of the sensor, and reporting when the state monitoring system or the sensor fails;
the storage module (11) is used for storing all the acquired data and the operational data and supporting external reading and writing;
the login end (12) is used for verifying login account information of the main node or the sub-node user;
and the source tracing module (13) is used for tracing the source of the abnormal data.
6. The system for monitoring the running state of the axial flow pump according to claim 5, wherein a storage module (11) is deployed on the main control module (1), the oscillation acquisition module (2), the hydraulic acquisition module (3) and the flow acquisition module (4) are interconnected through a wireless network, the analysis and comparison module (5), the oscillation acquisition module (2), the hydraulic acquisition module (3) and the flow acquisition module (4) are interconnected through a wireless network, the flow acquisition module (4) is electrically connected with the flow regulation module (6), the flow regulation module (6) is electrically connected with the distribution network module (9), the flow regulation module (6) is interactively connected with the early warning module (8) through a wireless network, the flow regulation module (6) is electrically connected with the adaptive regulation module (7), the main control module (1) is electrically connected with the self-inspection module (10), the main control module (1) is interactively connected with the tracing module (13) through a wireless network, and the main control module (1) is interconnected with the login end (12) through a wireless network.
7. The system for monitoring the running state of the axial-flow pump according to claim 5, wherein the distribution network module (9) adopts a W5200 control chip and uses a TCP/IP protocol to support a low-power consumption mode and a high-speed SPI interface.
8. The system for monitoring the running state of the axial flow pump according to claim 5, wherein the tracing content of the tracing module (13) comprises axial flow pump lift, power, blade angle, intake basin water level, outtake basin water level and monitoring hydraulic conditions.
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