CN115342064B - Method and system for monitoring running state of axial flow pump - Google Patents
Method and system for monitoring running state of axial flow pump 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 acting force generated by blades of a rotating impeller on the liquid, and has a plurality of types of vertical, horizontal, inclined and through-flow, along with the widespread development of computer monitoring systems of water conservancy pumping stations, the automation degree of water conservancy projects is increasingly improved, an equipment management system which takes an MIS system as a leading part is also greatly applied, the final purpose of the equipment management system is to finish the maintenance of equipment in the process, prolong the service life of the equipment, monitor the running state of a water pump unit in order to strengthen the running state of the water pump unit, master the running state change trend of the equipment, effectively perform preventive maintenance in time, realize online monitoring through a monitoring and evaluating system of the running state of the pump unit, and the working condition adjustment of the axial-flow pump unit is an important means for adapting to the change of the running conditions 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 has the advantages that the method lacks measures for periodically acquiring the vibration data and the hydraulic data in the operation process of the axial flow pump and comparing and analyzing the hydraulic data and the flow data, the safe operation threshold range cannot be established by analyzing the safe operation values in different flow states in the actual operation process, and the method cannot quickly and timely make up and adjust after the acquired data exceed the safe threshold range, so that the abnormal condition cannot be automatically repaired and loss is prevented or 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 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 flow passage 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 pump data, 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, 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 value range of the safety parameter interval, the flow control component performs downward adjustment in the self-adaptive adjustment threshold range, and when the received data is lower than the value range of the safety parameter interval, the flow control component performs upward adjustment in the self-adaptive adjustment threshold range;
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 the subsequent operation process, submitting the adjustment parameters of the corresponding label when a hit condition 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;
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 rises compared with the primary received data until the received data hits a safe parameter interval;
step603: during the stepwise up and down adjustments, the adaptive adjustment operation of the flow control means is terminated immediately when a data miss condition occurs and the adjustment logic is violated.
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 front guide vane and rear guide vane differential pressure of the impeller.
Further, the calculation formula of the operation efficiency of the axial flow pump in Step9 is as follows:
(ii) a In the formula (I), the compound is shown in the specification,
represents axial flow pump efficiency in units of%;
representing plant input power in kW; q represents the unit flow rate in units of
/s；
Representing the axial flow pump lift, and the unit is m; p represents the density in kg of the liquid delivered by the axial pump
。
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 oscillation characteristic parameters of all components of the axial-flow pump and converting the oscillation characteristic parameters into readable electric signals;
the hydraulic 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 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 flow 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 proposal provided by the invention has the following advantages that,
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 and the hydraulic data are compared with the flow data 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 carried out 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 hits occur, the historical adjustment parameters are directly issued, the rainfall data are collected, early warning measures can be conveniently made in advance, automatic adjustment is carried out in the continuous learning process, the intelligent adjustment can save the processing time, the 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 status 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 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 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 flow passage 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 pump data, 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, 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 value range 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 range 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 the subsequent operation process, submitting the adjustment parameters of the corresponding label when a hit condition 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;
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 impeller front guide vane rear differential pressure.
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 operation 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 oscillation characteristic parameters of all components of the axial-flow pump and converting the oscillation characteristic parameters into readable electric signals;
the hydraulic power acquisition module 3 is used for acquiring hydraulic power data of pressure pulsation, pressure and differential pressure measuring points of the axial flow pump and converting the hydraulic power data 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 numerical values according to 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 and monitoring of the system, comprises real-time monitoring of the state of the sensor, and reports 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 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 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 and the flow regulation module 6 are electrically connected, the flow regulation module 6 and the distribution network module 9 are electrically connected, the flow regulation module 6 and the early warning module 8 are interconnected through a wireless network, the flow regulation module 6 and the self-adaptive regulation module 7 are electrically connected, the main control module 1 and the self-checking module 10 are electrically connected, the main control module 1 and the source tracing module 13 are interconnected through a wireless network, and the main control module 1 and the 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 embodiment, when the system is implemented specifically, the master 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 is acquired through the hydraulic acquisition module 3, the hydraulic data is acquired through the oscillation acquisition module 2, the flow data is acquired through the flow acquisition module 4, the analysis and comparison module 5 is used for providing operation and comparison of data, calculating an error value, obtaining 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 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 control authority of the flow adjustment module 6, the storage module 11 is used for storing all the operation data and acquisition data, the tracing on abnormal sources is performed through the tracing module 13, instructions are sent to adjacent sub-node users, the sub-node user logs in the process of checking the information after logging in the information is verified through the distribution network module 9, the operation of the system, the self-checking and the operation condition of the water pump can be combined with the self-checking, the operation condition of the self-monitoring module 10, and the operation of the self-checking of the pump, the operation of the pump, and the working condition can be judged, and the working condition of the pump can be combined with the working condition of the 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: during the stepwise up and down adjustments, the adaptive adjustment operation of the flow control means is terminated immediately when a data miss condition occurs and the adjustment logic is violated.
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, including:
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: 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 Step9 is as follows:
(ii) a In the formula (I), the compound is shown in the specification,
represents axial flow pump efficiency in%;
representing the input power of the device, and the unit is kW; q represents the unit flow rate in units of
/s；
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
。
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 conclusion, the method provided by the invention has the advantages that by taking the 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, the safe operation values of all parts of the axial-flow pump under different levels of flow states are calculated, the safe operation threshold is further formulated, the operation standard with the reference value is helped to be determined, the acquisition period can be set in a self-defining manner according to the actual operation requirement, and after the acquired data exceed the safe threshold range, compensation and adjustment are timely carried out, and the automatic 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 when abnormal conditions occur, 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 data are hit, the historical adjustment parameters are directly issued, the adjustment is automatically carried out, 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 rapidly find out the 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, but 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 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 data 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, carrying out custom setting on an acquisition period, keeping the acquisition period of the rainfall data and the power supply data consistent with the acquisition period of the axial flow pump data, analyzing the acquired data, and submitting 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 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 value range of the safety parameter interval, the flow control component performs downward adjustment in the self-adaptive adjustment threshold range, and when the received data is lower than the value range of the safety parameter interval, the flow control component performs upward adjustment in the self-adaptive adjustment threshold range;
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 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 a hit condition 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;
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: during the stepwise up and down adjustments, the adaptive adjustment operation of the flow control means is terminated immediately when a data miss condition occurs and the adjustment logic is violated.
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 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.
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 running efficiency of the axial flow pump in Step9 is calculated by the formula:
in the formula (I), the compound is shown in the specification,
represents axial flow pump efficiency in units of%;
q represents the unit flow rate in units of
/s；
p represents the density of the liquid delivered by the axial pump in kg
。
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 4, comprising:
the main control module (1) is used for managing the operation of the system and editing and sending control instructions;
the runout acquisition module (2) is used for acquiring runout characteristic parameters of all components of the axial flow pump and converting the runout characteristic parameters into readable electric signals;
the hydraulic acquisition module (3) 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 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 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, characterized in that the distribution network module (9) adopts a W5200 control chip, and uses a TCP/IP protocol to support a low-power 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, water level of a water inlet tank, water level of a water outlet tank and monitoring hydraulic conditions.
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