CN113048073B - Predictive maintenance method and storage device for submersible sewage pump equipment - Google Patents
Predictive maintenance method and storage device for submersible sewage pump equipment Download PDFInfo
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- CN113048073B CN113048073B CN202110318573.9A CN202110318573A CN113048073B CN 113048073 B CN113048073 B CN 113048073B CN 202110318573 A CN202110318573 A CN 202110318573A CN 113048073 B CN113048073 B CN 113048073B
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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
- F04D15/0077—Safety measures
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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
- F04D15/0088—Testing machines
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05D—INDEXING SCHEME FOR ASPECTS RELATING TO NON-POSITIVE-DISPLACEMENT MACHINES OR ENGINES, GAS-TURBINES OR JET-PROPULSION PLANTS
- F05D2260/00—Function
- F05D2260/80—Diagnostics
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05D—INDEXING SCHEME FOR ASPECTS RELATING TO NON-POSITIVE-DISPLACEMENT MACHINES OR ENGINES, GAS-TURBINES OR JET-PROPULSION PLANTS
- F05D2260/00—Function
- F05D2260/82—Forecasts
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Abstract
The invention relates to the field of maintenance of submersible sewage pump equipment, in particular to a predictive maintenance method and storage equipment for submersible sewage pump equipment. The predictive maintenance method of an submersible sewage pump apparatus includes the steps of: collecting data for monitoring different sensors of the submersible sewage pump apparatus; performing preprocessing operation on the data of the different sensors according to historical data and a preset threshold, wherein the preprocessing operation comprises one or more of the following operations: early warning classification, calculation of maintenance weight, calculation of a life added value of the submersible sewage pump and calculation of a life loss value of the submersible sewage pump; and calculating the current health value of the submersible sewage pump according to the data after the pretreatment operation and the historical data, predicting the health state of the water pump according to the current health value, and judging whether the water pump needs to be maintained or repaired. According to the judgment result, the aging health condition of the submersible sewage pump equipment can be predicted in advance, so that the maintenance and replacement plan of the equipment is made in advance, and the normal operation of a pump room is guaranteed.
Description
Technical Field
The invention relates to the field of maintenance of submersible sewage pump equipment, in particular to a predictive maintenance method and storage equipment for submersible sewage pump equipment.
Background
At present, the aging health condition of water pump equipment installed and used in a subway pump room is discovered through equipment faults and abnormal events, and then the equipment is maintained or replaced after the equipment faults and abnormal events occur. Therefore, the aging health condition of the equipment cannot be accurately monitored and predicted, and the equipment replacement time is often overlong after the equipment is replaced, so that the normal operation of the pump room is influenced. Therefore, how to predict the aging health condition of the water pump equipment in the pump room in advance becomes a problem which needs to be solved urgently for preventive protection.
Disclosure of Invention
Therefore, a predictive maintenance method for the submersible sewage pump equipment is needed to be provided, and the problem that the aging health condition of the water pump equipment in a pump room cannot be predicted in advance and preventive protection cannot be performed in the prior art is solved. The specific technical scheme is as follows:
a method of predictive maintenance of submersible sewage pump equipment, comprising the steps of:
collecting data for monitoring different sensors of the submersible sewage pump apparatus;
performing preprocessing operation on the data of the different sensors according to historical data and a preset threshold, wherein the preprocessing operation comprises one or more of the following operations: the method comprises the steps of early warning classification, maintenance weight calculation, life added value calculation of the submersible sewage pump and life loss value calculation of the submersible sewage pump;
and calculating the current health value of the submersible sewage pump according to the data after the pretreatment operation and the historical data, predicting the health state of the water pump according to the current health value, and judging whether the water pump needs to be maintained or repaired. Further, the "preprocessing the data of the different sensors according to the historical data and the preset threshold value" specifically includes the steps of:
and performing early warning classification on the data of the different sensors according to a preset threshold and a preset early warning classification rule, wherein the early warning classification includes but is not limited to: class A and class B;
calculating a repair weight based on historical data, the historical data comprising: maintenance weight of each maintenance record;
the added value of the life of the submersible pump is (life expectancy/life promised by the manufacturer) a;
the life loss value of the submersible sewage pump is Min (alpha, untreated A-type early warning number weight) + Min (beta, untreated B-type early warning number weight) + Min (sigma, maintenance weight accumulated value);
the method for calculating the current health value of the submersible sewage pump according to the data after the preprocessing operation and the historical data specifically comprises the following steps:
the current health value of the submersible sewage pump is b + the added value of the service life of the submersible sewage pump-the service life loss value of the submersible sewage pump;
wherein a, b, α, β, σ are constants, and a + b is 100, and α + β + σ is 90.
Further, the different sensors include one or more of: the device comprises a current and voltage acquisition terminal, a vibration sensor, a liquid level sensor, a pressure sensor, a flow sensor and a sludge thickness sensor;
the method for collecting data used for monitoring different sensors of the submersible sewage pump equipment specifically comprises the following steps:
the water pump operation control detection cabinet is connected through a current and voltage acquisition terminal, and the current and voltage values of the water pump during operation are acquired;
the vibration sensor is attached to the top end surface of the water pump rotor, and a vibration value of the water pump during operation is collected;
the water level sensor is placed at a proper position in a pump room pool, and the real-time height of the water level before, during and after the operation of the water pump is collected;
the pressure sensor is arranged at the water outlet pipe of the water pump, and when the water pump runs, the water outlet pressure of the water pump is monitored;
monitoring the water outlet flow of the water pump through a flow sensor, and monitoring the flow when the water pump runs;
the sludge thickness sensor is placed at a proper position in the pump room pool, and the real-time sludge level height of the pump room pool is collected to monitor the running environment of the water pump.
In order to solve the technical problem, the storage device is further provided, and the specific technical scheme is as follows:
a storage device having stored therein a set of instructions for performing:
collecting data for monitoring different sensors of the submersible sewage pump apparatus;
performing preprocessing operation on the data of the different sensors according to historical data and a preset threshold, wherein the preprocessing operation comprises one or more of the following operations: early warning classification, calculation of maintenance weight, calculation of a life added value of the submersible sewage pump and calculation of a life loss value of the submersible sewage pump;
and calculating the current health value of the submersible sewage pump according to the data after the pretreatment operation and the historical data, predicting the health state of the water pump according to the current health value, and judging whether the water pump needs to be maintained or repaired.
Further, the set of instructions is further for performing: the method for preprocessing the data of the different sensors according to the historical data and the preset threshold specifically comprises the following steps of:
and performing early warning classification on the data of the different sensors according to a preset threshold and a preset early warning classification rule, wherein the early warning classification includes but is not limited to: class A and class B;
calculating a repair weight based on historical data, the historical data comprising: maintenance weight of each maintenance record;
the added value of the life of the submersible pump (expected life/manufacturer committed life) a;
the life loss value of the submersible sewage pump is Min (alpha, untreated A-type early warning number weight) + Min (beta, untreated B-type early warning number weight) + Min (sigma, maintenance weight accumulated value);
the method for calculating the current health value of the submersible sewage pump according to the data after the preprocessing operation and the historical data specifically comprises the following steps:
the current health value of the submersible sewage pump is b + the added value of the life of the submersible sewage pump-the loss value of the life of the submersible sewage pump;
wherein a, b, α, β, σ are constants, and a + b is 100, and α + β + σ is 90.
Further, the different sensors include one or more of: the device comprises a current and voltage acquisition terminal, a vibration sensor, a liquid level sensor, a pressure sensor, a flow sensor and a sludge thickness sensor.
The invention has the beneficial effects that: collecting data for monitoring different sensors of the submersible sewage pump apparatus; performing preprocessing operation on the data of the different sensors according to historical data and a preset threshold, wherein the preprocessing operation comprises one or more of the following operations: early warning classification, calculation of maintenance weight, calculation of a life added value of the submersible sewage pump and calculation of a life loss value of the submersible sewage pump; and calculating the current health value of the submersible sewage pump according to the data after the pretreatment operation and the historical data, predicting the health state of the water pump according to the current health value, and judging whether the water pump needs to be maintained or repaired. According to the judgment result, the aging health condition of the submersible sewage pump equipment can be predicted in advance, so that the maintenance and replacement plan of the equipment is made in advance, and the normal operation of a pump room is guaranteed.
Drawings
FIG. 1 is a flow chart of a method of predictive maintenance of an submersible sewage pump arrangement according to an embodiment;
fig. 2 is a schematic block diagram of a storage device according to an embodiment.
Description of reference numerals:
200. a storage device.
Detailed Description
To explain technical contents, structural features, and objects and effects of the technical solutions in detail, the following detailed description is given with reference to the accompanying drawings in conjunction with the embodiments.
Referring to FIG. 1, in the present embodiment, the predictive maintenance method for an submersible sewage pump device may be applied to a memory device that may be used to acquire data for monitoring various sensors of the submersible sewage pump device, including but not limited to: personal computers, servers, general purpose computers, special purpose computers, network appliances, embedded appliances, programmable appliances, etc.
In this embodiment, first, data of various sensors are provided on the submersible sewage pump apparatus to monitor the operation state of the submersible sewage pump apparatus. The different sensors include one or more of: the device comprises a current and voltage acquisition terminal, a vibration sensor, a liquid level sensor, a pressure sensor, a flow sensor and a sludge thickness sensor; the specific data acquisition process of different sensors is as follows:
1. current-voltage acquisition terminal: the water pump operation control detection cabinet is connected through a Current and Voltage acquisition terminal, and the Current and the Voltage under the actual operation environment when the water pump operates are acquired;
2. a vibration sensor: the method comprises the following steps of (1) attaching a vibration sensor to the top end surface of a water pump, and collecting vibration Vibrate when the water pump runs;
3. a liquid level sensor: the method comprises the steps that a liquid Level sensor is placed at a proper position in a pump room pool, and the real-time height Level of the water Level before, during and after the operation of a water pump is collected;
4. a pressure sensor: the pressure sensor is arranged at the water outlet pipe of the water pump, and when the water pump runs, the outlet water pressure Press of the water pump is monitored;
5. a flow sensor: monitoring the water outlet Flow of the water pump through a Flow sensor, and monitoring the Flow when the water pump runs;
6. a sludge thickness sensor: the Sludge level height Sludge of the pump house is arranged in a pump house pool through a Sludge thickness sensor when a water pump is collected to run.
Different sensors can send the acquired data to the storage device in real time or at regular time.
The specific implementation process is as follows:
step S101: data is collected for monitoring various sensors of the submersible sewage pump apparatus.
Step S102: performing preprocessing operation on the data of the different sensors according to historical data and a preset threshold, wherein the preprocessing operation comprises one or more of the following operations: the method comprises the steps of early warning classification, maintenance weight calculation, service life added value calculation and service life loss value calculation.
It should be noted that, in this embodiment, the early warning classification includes, but is not limited to: class a and class B. And rules are set in advance for what interval the value of each sensor is in class a specifically and in what interval is in class B specifically. Explaining by acquiring the water Level height Level when the water pump runs:
the subway pump room operator provides the lowest value and the highest value of the water level early warning of each pump room according to different factors such as the terrain height, the size of the pump room, the drainage condition and the like of each different pump room. The water level is higher than the fixed height of the water collecting well (class A), the water level reaches the high water level (class B) of a certain height, and the water level is lower than the certain water level (class B). The method comprises the following specific steps:
high water level:
1. interval water accumulation, fire-fighting pipeline pipe explosion, long-time high water level alarm, A class when the water level exceeds the depth of a sump of each pump room, 2, damage of a water pump clamp foreign matter or an impeller, long-time idling, high water level below (class B), 3, damage of a liquid level meter (class B), 4, system program disorder and false alarm (class B);
low water level:
1. the damage of the liquid level meter (type B), 2, the actuation of a water pump contactor, the long-time running of a water pump, the low water level (type B), and 3, the damage of a float switch (type B).
Step S102 specifically includes the steps of:
and performing early warning classification on the data of the different sensors according to a preset threshold and a preset early warning classification rule, wherein the early warning classification includes but is not limited to: class a and class B.
Calculating a repair weight based on historical data, the historical data comprising: maintenance weight per maintenance record. The method specifically comprises the following steps: and determining whether the component is damaged or not and whether the core component needs to be replaced or not according to the maintenance evaluation reason, wherein the maintenance weight is determined by a maintenance department according to a maintenance manual, such as: and when the water pump is in fault, the water pump is dismantled to a maintenance department. The maintenance department removes the water pump, checks the spare parts, if the core spare part is damaged, need to change the water pump entirety, the maintenance weight is 30 at this moment; if the core parts need to be replaced, the maintenance weight is recorded as 20, if only the non-core parts need to be replaced, the maintenance weight is recorded as 10, and if the parts do not need to be replaced, only the blockage in the water pump needs to be dredged, the maintenance weight is recorded as 5. I.e. each repair requires its repair weight to be calculated.
The submersible pump has a life added value (life expectancy/life committed by the manufacturer) a, and the parameter a may preferably be 10 in the present embodiment. Wherein the expected life is the life promised by the manufacturer-service time. For example, if the manufacturer promises that the equipment is used for 10 years, and the equipment is used for 1 year at present, the service life of the submersible sewage pump is added to (9/10) × 10. If it is not used immediately after shipment, it is (10/10) × 10.
The life loss value of the submersible pump is Min (α, untreated class a warning score weight) + Min (β, untreated class B warning score weight) + Min (σ, maintenance weight accumulated value), where α + β + σ is 90, and in the present embodiment, it is preferable that: α ═ β ═ σ ═ 30. Wherein the A-type early warning number is a system statistic. When the system judges that the A-type alarm condition is met, reporting an A-type alarm, and increasing the A-type early warning number by 1 correspondingly. The specific determination condition for class a is set in advance. The B-type early warning number is the system statistics number, when the system judges that the B-type alarm condition is met, a B-type alarm is reported, and the B-type early warning number is correspondingly increased by 1. The weight of the unprocessed A-type early warning number is temporarily 80%, the weight of the unprocessed B-type early warning number is temporarily 20%, and the specific weights of the A-type early warning number and the B-type early warning number can be modified according to the requirements of practical application.
After the life addition value of the submersible sewage pump and the life loss value of the submersible sewage pump are calculated, the step S103 is executed: and calculating the current health value of the submersible sewage pump according to the data after the pretreatment operation and the historical data. The method specifically comprises the following steps:
the current health value of the submersible pump is b + added value of life of the submersible pump-loss value of life of the submersible pump, in this embodiment, the parameter b is preferably 90. In this embodiment, the health values are classified into three grades of good, and bad according to 80-100, 60-79, and 0-59.
In the above parameters, a, b, α, β, σ are constants, and a + b is 100, and α + β + σ is 90, and how to adjust the specific values can be adjusted according to practical applications.
Step S104: and predicting the health state of the water pump according to the current health value and judging whether the water pump needs to be maintained or repaired. The method specifically comprises the following steps: when the current health value is excellent, maintenance is not needed; when the current health value is good, the system records and informs the system, and system maintenance personnel pay attention to the score; when the current health value is poor, system maintenance personnel check specific scores and check reasons for over-low scores, and judge whether to dismantle the water pump for repair or on-site maintenance or not by combining historical data.
Collecting data for monitoring different sensors of the submersible sewage pump apparatus; performing preprocessing operation on the data of the different sensors according to historical data and a preset threshold, wherein the preprocessing operation comprises one or more of the following operations: the method comprises the steps of early warning classification, maintenance weight calculation, life added value calculation of the submersible sewage pump and life loss value calculation of the submersible sewage pump; and calculating the current health value of the submersible sewage pump according to the data after the pretreatment operation and the historical data, predicting the health state of the water pump according to the current health value, and judging whether the water pump needs to be maintained or repaired. According to the judgment result, the aging health condition of the submersible sewage pump equipment can be predicted in advance, so that the maintenance and replacement plan of the equipment is made in advance, and the normal operation of a pump room is guaranteed.
Referring to fig. 2, in the present embodiment, a memory device 200 is implemented as follows:
a storage device 200 having stored therein a set of instructions for performing:
collecting data for monitoring different sensors of the submersible sewage pump apparatus;
performing preprocessing operation on the data of the different sensors according to historical data and a preset threshold, wherein the preprocessing operation comprises one or more of the following operations: the method comprises the steps of early warning classification, maintenance weight calculation, life added value calculation of the submersible sewage pump and life loss value calculation of the submersible sewage pump.
It should be noted that, in this embodiment, the early warning classification includes, but is not limited to: class a and class B. And rules are set in advance for what interval the value of each sensor is in class a specifically and in what interval is in class B specifically. Explaining by acquiring the water Level height Level when the water pump runs:
the subway pump room operator provides the lowest value and the highest value of the water level early warning of each pump room according to different factors such as the terrain height, the size of the pump room, the drainage condition and the like of each different pump room. The water level is higher than the fixed height of the water collecting well (class A), the water level reaches the high water level (class B) of a certain height, and the water level is lower than the certain water level (class B). The method comprises the following specific steps:
high water level:
1. interval water accumulation, fire-fighting pipeline pipe explosion, long-time high water level alarm, A class when the water level exceeds the depth of a sump of each pump room, 2, damage of a water pump clamp foreign matter or an impeller, long-time idling, high water level below (class B), 3, damage of a liquid level meter (class B), 4, system program disorder and false alarm (class B);
low water level:
1. the damage of the liquid level meter (type B), 2, the actuation of a water pump contactor, the long-time running of a water pump, the low water level (type B), and 3, the damage of a float switch (type B).
Further, the set of instructions is further for performing: the method for preprocessing the data of the different sensors according to the historical data and the preset threshold specifically comprises the following steps of:
and carrying out early warning classification on the data of the different sensors according to a preset threshold and a preset early warning classification rule, wherein the early warning classification comprises but is not limited to the following steps: class A and class B;
calculating a repair weight based on historical data, the historical data comprising: maintenance weight per maintenance record. The method specifically comprises the following steps: whether the component is damaged or not and whether the core component needs to be replaced are determined according to the maintenance evaluation reason, and the maintenance weight is determined by a maintenance department according to a maintenance manual, such as: and when the water pump is in fault, the water pump is dismantled to a maintenance department. The maintenance department removes the water pump, looks over spare part, if the core spare part damages, need to change the whole water pump, the maintenance weight is 30 at this moment; if the core parts need to be replaced, the maintenance weight is recorded as 20, if only the non-core parts need to be replaced, the maintenance weight is recorded as 10, and if the parts do not need to be replaced, only the blockage in the water pump needs to be dredged, the maintenance weight is recorded as 5. I.e. each repair requires its repair weight to be calculated.
The submersible pump has a life added value (life expectancy/life promised by the manufacturer) a, and in this embodiment the parameter a may preferably be 10. Wherein the expected life is the life promised by the manufacturer-service time. For example, if the manufacturer promises a lifetime of 10 years for the equipment and is currently using for 1 year, the total lifetime of the submersible pump is (9/10) × 10. If it is not used immediately after shipment, it is (10/10) × 10.
The life loss value of the submersible pump is Min (α, untreated class a warning score weight) + Min (β, untreated class B warning score weight) + Min (σ, maintenance weight accumulated value), where α + β + σ is 90, and in the present embodiment, it is preferable that: α ═ β ═ σ ═ 30. Wherein the A-type early warning number is a system statistic. When the system judges that the A-type alarm condition is met, reporting an A-type alarm, and increasing the A-type early warning number by 1 correspondingly. The specific determination condition for class a is set in advance. The number of the B-type early warning is also the system statistics, when the system judges that the B-type warning condition is reached, a B-type warning is reported, and at the moment, the number of the B-type early warning is correspondingly increased by 1. The weight of the unprocessed A-type early warning number is temporarily 80%, the weight of the unprocessed B-type early warning number is temporarily 20%, and the specific weights of the A-type early warning number and the B-type early warning number can be modified according to the requirements of practical application.
After the service life added value of the submersible sewage pump and the service life loss value of the submersible sewage pump are calculated, the current health value of the submersible sewage pump is calculated according to the data after the preprocessing operation and the historical data, and the method specifically comprises the following steps:
the current health value of the submersible pump is b + added value of life of the submersible pump-loss value of life of the submersible pump, in this embodiment, the parameter b is preferably 90.
In this embodiment, the health values are classified into three grades of good, and bad according to 80-100, 60-79, and 0-59.
In the above parameters, a, b, α, β, σ are constants, and a + b is 100 and α + β + σ is 90, and how the specific values can be adjusted according to the actual application.
And predicting the health state of the water pump according to the current health value and judging whether the water pump needs to be maintained or repaired. The method specifically comprises the following steps: when the current health value is excellent, maintenance is not needed; when the current health value is good, the system records and informs the current health value, and system maintenance personnel pay attention to the score; when the current health value is poor, system maintenance personnel check specific scores and check reasons for over-low scores, and judge whether to dismantle the water pump for repair or on-site maintenance or not by combining historical data.
Further, the different sensors include one or more of: the device comprises a current and voltage acquisition terminal, a vibration sensor, a liquid level sensor, a pressure sensor, a flow sensor and a sludge thickness sensor.
The following commands are executed by the instruction set on the storage device 200: collecting data for monitoring different sensors of the submersible sewage pump apparatus; performing preprocessing operation on the data of the different sensors according to historical data and a preset threshold, wherein the preprocessing operation comprises one or more of the following operations: early warning classification, calculation of maintenance weight, calculation of a life added value of the submersible sewage pump and calculation of a life loss value of the submersible sewage pump; and calculating the current health value of the submersible sewage pump according to the data after the pretreatment operation and the historical data, predicting the health state of the water pump according to the current health value, and judging whether the water pump needs to be maintained or repaired. According to the judgment result, the aging health condition of the submersible sewage pump equipment can be predicted in advance, so that the maintenance and replacement plan of the equipment is made in advance, and the normal operation of a pump room is guaranteed.
It should be noted that, although the above embodiments have been described herein, the invention is not limited thereto. Therefore, based on the innovative concepts of the present invention, the technical solutions of the present invention can be directly or indirectly applied to other related technical fields by changing and modifying the embodiments described herein or by using the equivalent structures or equivalent processes of the content of the present specification and the attached drawings, and are included in the scope of the present invention.
Claims (4)
1. A method of predictive maintenance of submersible sewage pump equipment, comprising the steps of:
collecting data for monitoring different sensors of the submersible sewage pump apparatus;
performing preprocessing operation on the data of the different sensors according to historical data and a preset threshold, wherein the preprocessing operation comprises one or more of the following operations: the method comprises the steps of early warning classification, maintenance weight calculation, life added value calculation of the submersible sewage pump and life loss value calculation of the submersible sewage pump;
calculating a current health value of the submersible sewage pump according to the data after the pretreatment operation and the historical data, predicting the health state of the water pump according to the current health value, and judging whether the water pump needs to be maintained or repaired; the preprocessing operation is carried out on the data of the different sensors according to the historical data and a preset threshold, and the method specifically comprises the following steps:
and carrying out early warning classification on the data of the different sensors according to a preset threshold and a preset early warning classification rule, wherein the early warning classification comprises but is not limited to the following steps: the early warning system comprises a class A and a class B, wherein when the value of a sensor is in a first preset interval range, the early warning is classified into the class A, when the value of the sensor is in a second preset interval range, the early warning is classified into the class B, and the first preset interval range and the second preset interval range are preset;
calculating a repair weight based on historical data, the historical data comprising: maintenance weight of each maintenance record;
the added value of the life of the submersible pump (expected life/manufacturer committed life) a;
the life loss value of the submersible sewage pump is Min (alpha, untreated A-type early warning number weight) + Min (beta, untreated B-type early warning number weight) + Min (sigma, maintenance weight accumulated value);
the method for calculating the current health value of the submersible sewage pump according to the data after the preprocessing operation and the historical data specifically comprises the following steps:
the current health value of the submersible sewage pump is b + the added value of the life of the submersible sewage pump-the loss value of the life of the submersible sewage pump;
wherein a, b, α, β, σ are constants, and a + b is 100, and α + β + σ is 90.
2. The method of claim 1, wherein the different sensors comprise one or more of: the device comprises a current and voltage acquisition terminal, a vibration sensor, a liquid level sensor, a pressure sensor, a flow sensor and a sludge thickness sensor;
the collecting is used for monitoring data of different sensors of the submersible sewage pump device, and specifically comprises the following steps:
the water pump running control detection cabinet is connected through a current and voltage acquisition terminal, and the current and voltage values of the water pump during running are acquired;
the vibration sensor is attached to the top end surface of the water pump rotor, and a vibration value of the water pump during operation is collected;
the water level sensor is placed at a proper position in a pump room pool, and the real-time height of the water level before, during and after the operation of the water pump is collected;
the pressure sensor is arranged at the water outlet pipe of the water pump, and when the water pump runs, the water outlet pressure of the water pump is monitored;
monitoring the water outlet flow of the water pump through a flow sensor, and monitoring the flow when the water pump runs;
the sludge thickness sensor is placed at a proper position in the pump room pool, and the real-time sludge level height of the pump room pool is collected so as to monitor the running environment of the water pump.
3. A memory device having a set of instructions stored therein, the set of instructions being configured to perform:
collecting data for monitoring different sensors of the submersible sewage pump apparatus;
performing preprocessing operation on the data of the different sensors according to historical data and a preset threshold, wherein the preprocessing operation comprises one or more of the following operations: the method comprises the steps of early warning classification, maintenance weight calculation, life added value calculation of the submersible sewage pump and life loss value calculation of the submersible sewage pump;
calculating the current health value of the submersible sewage pump according to the data after the pretreatment operation and the historical data, predicting the health state of the water pump according to the current health value, and judging whether the water pump needs to be maintained or repaired;
the set of instructions is further for performing: the method for preprocessing the data of the different sensors according to the historical data and the preset threshold specifically comprises the following steps:
and performing early warning classification on the data of the different sensors according to a preset threshold and a preset early warning classification rule, wherein the early warning classification includes but is not limited to: the early warning system comprises a class A and a class B, wherein when the value of a sensor is within a first preset interval range, the early warning is classified into the class A, when the value of the sensor is within a second preset interval range, the early warning is classified into the class B, and the first preset interval range and the second preset interval range are preset;
calculating a repair weight from historical data, the historical data comprising: maintenance weight of each maintenance record;
the added value of the life of the submersible pump (expected life/manufacturer committed life) a;
the life loss value of the submersible sewage pump is Min (alpha, untreated A-type early warning number weight) + Min (beta, untreated B-type early warning number weight) + Min (sigma, maintenance weight accumulated value);
the method for calculating the current health value of the submersible sewage pump according to the data after the preprocessing operation and the historical data specifically comprises the following steps:
the current health value of the submersible sewage pump is b + the added value of the life of the submersible sewage pump-the loss value of the life of the submersible sewage pump;
wherein a, b, α, β, σ are constants, and a + b is 100, and α + β + σ is 90.
4. A storage device according to claim 3, wherein the different sensors comprise one or more of: the device comprises a current and voltage acquisition terminal, a vibration sensor, a liquid level sensor, a pressure sensor, a flow sensor and a sludge thickness sensor.
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