A secondary water supply pump damage early warning method, system, device and medium

Abstract

The present disclosure relates to a secondary water supply pump damage early warning method, system, device and medium, the method comprises the following steps: obtaining water consumption and peak water period data in a future period of time; according to the water consumption and peak water period data in the future period of time, the predicted running data of the secondary water supply pump is obtained under the condition of meeting the water demand, the running data includes start-stop times, continuous working time; according to the monitored historical water pump running data and the predicted running data, the expected service life of the secondary water supply pump is calculated. The present disclosure can obtain the predicted running condition of the secondary water pump motor according to the predicted water consumption data and the peak water period data, estimate the motor service life according to the predicted motor running condition, which can change according to the future actual use of the motor, thus improving the prediction accuracy of the motor service life.

Description

Technical Field

[0001] This disclosure relates to the field of secondary water supply, and in particular to a method, system, equipment and medium for early warning of damage to secondary water supply pumps. Background Technology

[0002] The water pumps in secondary water supply systems are used to pressurize the secondary water supply to meet the water needs of high-rise residents. Water pumps range in price from tens of thousands to millions of yuan, making them arguably the most expensive equipment in a secondary water supply pump room. The most crucial aspect of the water pump is the operation of its motor. To monitor motor malfunctions, parameters such as temperature, current, and vibration are typically monitored to indicate whether the motor is operating under overload or unstable conditions. This helps determine if a motor failure has occurred or predicts when it might happen, thus enabling motor protection and lifespan prediction.

[0003] However, relying solely on the existing motor operating status to provide early warning or prediction of secondary water supply pump failures means that even if a pump failure is detected, a certain amount of time is still needed for maintenance or replacement. Furthermore, predicting pump failure time based solely on historical data is not accurate. In reality, the lifespan of a water pump is related to future usage conditions, such as the number of start-stop cycles, operating power, and operating duration, all of which directly or indirectly affect the lifespan of the pump motor. Summary of the Invention

[0004] This disclosure provides a method for early warning of secondary water supply pump failure, which can solve the problems of inaccurate predictions due to existing pump failure monitoring or lifespan prediction methods not considering future usage conditions, or the need for backup pumps to meet continuous water supply demands due to long maintenance times for pump motors after failures. To solve the above technical problems, this disclosure provides the following technical solution:

[0005] According to one aspect of the present disclosure, a method for early warning of damage to a secondary water supply pump is provided, comprising the following steps:

[0006] Obtain water consumption and peak water usage data for a future period of time;

[0007] Based on the water consumption and peak water consumption data for the future period, and assuming that water demand is met, the predicted operating data of the secondary water supply pump is obtained. The operating data includes the number of start-stop cycles and the continuous working time.

[0008] The expected lifespan of the secondary water supply pumps is calculated based on the monitored historical pump operation data and predicted operation data.

[0009] Optionally, the steps for obtaining water consumption and peak water consumption data for a future period are as follows:

[0010] Obtain the number of minimum water-consuming units that currently require water supply, and based on the occupancy patterns of secondary water supply users, predict the number of minimum water-consuming units for a future period of time.

[0011] Water consumption and peak water usage periods are estimated based on the predicted number of minimum water-using units and seasonal, weather, and temperature information for the coming period.

[0012] Optionally, the specific steps to obtain the predicted operating data of the secondary water supply pump are as follows:

[0013] Based on water consumption and peak water usage data for a future period, plan the continuous operating time and start / stop frequency of the motor for that period.

[0014] Optionally, the motor's load capacity and historical operating status can also be taken into account when planning the motor's continuous operating time and number of start-stop cycles over a future period.

[0015] Optionally, the continuous operating time of the motor is determined by the automatic control strategy of the automatic constant pressure variable flow secondary water supply equipment, wherein the automatic control strategy is as follows:

[0016] Determine whether the remaining lifespan of the water pump exceeds the threshold; if it does not exceed the threshold, control the operation of the water pump in the secondary water supply equipment according to the secondary water supply pressure, and calculate the water pump operating time and the number of start-stop cycles.

[0017] If the predicted probability of water pump failure or the predicted failure time exceeds the threshold, the water pump is deemed abnormal. Other water pumps in the secondary water supply equipment that are not deemed abnormal are then started, and the required running time and number of start-stop cycles for the other water pumps are calculated.

[0018] Optionally, the specific steps for calculating the expected lifespan of the secondary water supply pump based on the monitored historical pump operation data and predicted operation data are as follows:

[0019] Acquire data on the motor's three-phase current imbalance, temperature, and vibration.

[0020] A remaining lifetime model was established and the remaining lifetime was estimated based on three-phase current imbalance, temperature and vibration data.

[0021] The expected lifespan is estimated based on predicted operating data and remaining lifespan.

[0022] Optionally, the remaining lifetime model is specifically as follows:

[0023]

[0024]

[0025] Where f(t) is the remaining lifetime function, α and β are weighting coefficients, α + β < 1, and εi (t) is the current unbalance function, i a (t), i b (t), i c (t) represents the value of the three-phase current of the motor at time t, while T(t) is the temperature value at time t, and x(t) is the proportional function of the amplitude exceeding the preset amplitude threshold at time t.

[0026] According to another aspect of the embodiments of this disclosure, a secondary water supply pump damage early warning system is provided, comprising:

[0027] The water consumption data prediction module is used to obtain water consumption and peak water consumption period data for a future period of time;

[0028] The operation data calculation module, based on the water consumption and peak water consumption data for the future period, obtains the predicted operation data of the secondary water supply pump under the condition of meeting water demand. The operation data includes the number of start-stop cycles and the continuous working time.

[0029] The lifespan estimation module is used to calculate the expected lifespan of the secondary water supply pumps based on the monitored historical pump operation data and predicted operation data.

[0030] According to another aspect of the present disclosure, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program to implement the above-described method for early warning of damage to a secondary water supply pump.

[0031] According to another aspect of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored, characterized in that, when the program is executed by a processor, it implements the steps of the above-described method for early warning of damage to a secondary water supply pump.

[0032] The beneficial effects of this disclosure are: the predicted operating conditions of the secondary water pump motor are obtained based on the predicted water consumption data and peak water consumption period data, and the motor life is estimated based on the predicted motor operating conditions, which can vary according to the actual future use of the motor, thus improving the accuracy of motor life prediction; when calculating the expected life of the motor, the imbalance of the three-phase motor current, temperature, vibration and historical operating data are combined to comprehensively consider the actual problems that are likely to occur in actual use, and the cumulative impact of various factors on the expected life of the motor can be reflected. Attached Figure Description

[0033] Figure 1 A flowchart of the secondary water supply pump damage early warning method in Embodiment 1 is shown;

[0034] Figure 2A flowchart illustrating the calculation of the expected lifespan of the secondary water supply pump in Example 1 is shown.

[0035] Figure 3 The diagram illustrates a secondary water supply pump malfunction warning system. Detailed Implementation

[0036] The technical solutions of the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this disclosure, and not all embodiments. Based on the embodiments of this disclosure, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this disclosure.

[0037] Example 1

[0038] According to one aspect of the embodiments of this disclosure, a method for early warning of damage to a secondary water supply pump is provided, such as... Figure 1 As shown, it includes the following steps:

[0039] S102. Obtain water consumption and peak water consumption period data for a future period of time; the future period can be 7-30 days or longer. Estimate the water consumption and peak water consumption period data for the future period, such as 7 days, based on the available weather data or seasonal temperature data, as well as historical water consumption data and peak water consumption periods obtained from historical statistics.

[0040] S104. Based on the water consumption and peak water consumption data for the future period, and assuming the water demand is met, predictive operating data for the secondary water supply pump is obtained. This operating data includes the number of start-stop cycles and the continuous operating time. For example, if all components of the secondary water supply pump are functioning normally, water demand is prioritized. In this case, the predicted operating data for the secondary water supply pump may not represent its optimal operating state (i.e., there is no excessive load or increased probability of damage from prolonged operation). If historical monitoring data shows an increased probability of damage to the secondary water supply pump, the predicted operating data needs to be adjusted based on the pump's overall operating status to ensure that the pump operates at its best possible condition while meeting water demand, such as by reducing the number of start-stop cycles and / or the continuous operating time.

[0041] S106. Calculate the expected lifespan of the secondary water supply pump based on the monitored historical pump operation data and predicted operation data. The predicted lifespan includes predicted failure time and predicted failure probability, etc.

[0042] In some embodiments, the steps for obtaining water consumption and peak water consumption period data for a future period are as follows:

[0043] Obtain the number of minimum water-using units currently requiring water supply (e.g., the number of households in high-rise buildings), and predict the number of minimum water-using units for a future period based on the occupancy patterns of secondary water supply users. The occupancy patterns can refer to the occupancy patterns of nearby communities from handover to occupancy. For example, by statistically analyzing changes in the number of water-using households, the occupancy increase rate of multiple nearby communities during the same period can be used as an occupancy pattern for reference. Because the occupancy patterns are roughly the same when the locations are similar and the conditions are similar, even if there are no new communities occupied nearby this year, statistics can be obtained from other similar communities through big data.

[0044] Water consumption and peak water usage periods are estimated based on the predicted number of minimum water-using units and seasonal, weather, and temperature information for a future period. Seasonal, weather, and temperature information for the future period can be calculated from the current date, or obtained from weather websites or meteorological departments, providing daily weather and temperature data for a future period such as 7 days. Information such as perceived temperature and humidity can also be taken into account. By combining historical water usage data with similar seasonal, weather, and temperature information, the total water consumption for 7 days and the peak water usage periods for 7 days can be estimated.

[0045] In some embodiments, the specific steps for obtaining the predicted operating data of the secondary water supply pump are as follows:

[0046] Based on water consumption and peak water usage data for a future period, the continuous operating time and start-stop frequency of the secondary water supply pump motors can be planned for that period. For example, after obtaining the water consumption data for 7 days and the water consumption corresponding to peak water usage periods, the continuous operating time and start-stop frequency of the secondary water supply pump motors can be planned while meeting water demand.

[0047] In some embodiments, the motor load capacity and historical operating status are also taken into account when planning the continuous operating time and start-stop frequency of the motor over a future period. Since the motors in secondary water supply pumps are expensive and prone to damage from prolonged operation, it is advisable to ensure that the motor's operating time does not exceed its load capacity while meeting water supply requirements. Furthermore, if an abnormal historical operating status of the motor is detected, an alarm should be triggered for maintenance, and the maintenance should ensure that no further abnormalities occur after maintenance, such as increased three-phase current imbalance, significantly increased vibration amplitude, motor stall, or abnormal winding temperature.

[0048] In some embodiments, the continuous operating time of the motor is determined by the automatic control strategy of the automatic constant pressure variable flow secondary water supply equipment. The automatic constant pressure variable flow secondary water supply equipment refers to equipment that maintains a constant water pressure for high-rise users, while changing the pump flow rate according to water demand. The automatic control strategy is as follows:

[0049] Determine whether the expected lifespan of the water pump exceeds a threshold; if it does not exceed the threshold, control the operation of the water pump in the secondary water supply equipment according to the secondary water supply pressure, and calculate the water pump operating time and the number of start-stop cycles; the threshold is a preset empirical value, the water pump operating time can be determined by dividing the estimated water consumption by the average water output, and the number of start-stop cycles can be estimated based on the historical number of start-stop cycles.

[0050] If the expected lifespan exceeds the threshold, the water pump is considered abnormal. Other water pumps in the secondary water supply system that are not considered abnormal are then started, and the required operating time and number of start-stop cycles for the other pumps are calculated. A typical secondary water supply system will have at least two sets of water pumps. If the predicted failure probability or predicted failure time of one of the pumps exceeds the threshold, an alarm will be triggered immediately, and maintenance will be scheduled, preferably during off-peak water usage periods.

[0051] In some embodiments, such as Figure 2 As shown, the specific steps for calculating the expected lifespan of the secondary water supply pump based on the monitored historical pump operation data and predicted operation data are as follows:

[0052] S1062. Obtain the three-phase current imbalance, temperature, and vibration data of the motor;

[0053] S1064. Establish a remaining life model and estimate the remaining life based on three-phase current imbalance, temperature and vibration data.

[0054] S1066. Estimate the expected lifespan based on predicted operating data and remaining lifespan.

[0055] In some embodiments, the remaining lifetime model specifically refers to:

[0056]

[0057]

[0058] Where f(t) is the remaining lifetime function, α and β are weighting coefficients, α + β < 1, and ε i (t) is the current unbalance function, i a (t), i b (t), i cT(t) represents the value of the three-phase current of the motor at time t, while T(t) represents the temperature value at time t, which is the winding temperature. It can monitor whether the accumulated temperature of the winding is abnormal when the motor is overloaded, stalled, or has winding problems, exceeds the range within time t. If it exceeds a certain range, for example, the product of the obtained temperature value and the weighting coefficient β exceeds the preset threshold, it can be determined that the motor life is within a certain period of time and should be repaired or replaced. x(t) is the proportional function of the amplitude at time t exceeding the preset amplitude threshold. It monitors the vibration of the motor casing. When the motor has abnormal vibration, other amplitudes can also be judged as abnormal when the abnormality accumulates to a certain extent. For example, if the rated amplitude is u0, then x(t) = u(t) / u0, which is the ratio of the amplitude at time t to the rated amplitude. In addition, the weighting coefficients of α and β can be determined based on expert scoring, that is, the proportion of each item is determined according to the number and probability of the problems that are likely to occur. In this way, the remaining life function f(t) with respect to time can be obtained by comprehensively considering the current imbalance, winding temperature and motor vibration amplitude, and thus obtain a more accurate expected life value.

[0059] In this embodiment, the expected lifespan is the remaining lifespan calculated by subtracting the remaining lifespan from the historical data, which corresponds to the predicted operating data.

[0060] Example 2

[0061] According to another aspect of the embodiments of this disclosure, in order to cooperate with the implementation of the method in Embodiment 1, this embodiment also provides a secondary water supply pump damage early warning system 100, such as... Figure 3 As shown, it includes:

[0062] Water usage data prediction module 1 is used to obtain water consumption and peak water usage periods for a future period of time; the future period can be 7-30 days or longer. It estimates the water consumption and peak water usage periods for the future period, such as 7 days, based on available weather or seasonal temperature data, historical water consumption data, and historically statistically derived peak water usage periods.

[0063] The operation data calculation module 2, based on the water consumption and peak water consumption data for a future period, obtains predicted operation data for the secondary water supply pump while meeting water demand. This operation data includes the number of start-stop cycles and continuous operating time. For example, if all components of the secondary water supply pump are functioning normally, water demand is prioritized. In this case, the predicted operation data may not represent the pump's optimal operating condition (i.e., there is no excessive load or increased probability of damage from prolonged operation). If historical monitoring data shows an increased probability of damage, the predicted operation data needs to be adjusted based on the pump's overall operating status to ensure optimal operation while meeting water demand, such as reducing the number of start-stop cycles and / or continuous operating time.

[0064] The lifespan estimation module 3 is used to calculate the expected lifespan of the secondary water supply pump based on the monitored existing pump operation data and predicted operation data.

[0065] In some embodiments, the water usage data prediction module 1 is used to obtain the number of minimum water-using units that currently require water supply (such as the number of households in high-rise buildings), and to obtain the predicted number of minimum water-using units in the future period based on the occupancy pattern of the secondary water supply object; the occupancy pattern can refer to the occupancy pattern of nearby communities from handover to occupancy, such as by statistically analyzing the changes in the number of water-using households to calculate the occupancy increase ratio of multiple nearby communities in the same period as the occupancy pattern for reference, because the occupancy patterns are roughly the same when the locations are similar and the conditions are similar, even if there are no new communities occupied this year nearby, it can be statistically analyzed based on other similar communities through big data.

[0066] Water consumption and peak water usage periods are estimated based on the predicted number of minimum water-using units and seasonal, weather, and temperature information for a future period. Seasonal, weather, and temperature information for the future period can be calculated from the current date, or obtained from weather websites or meteorological departments, providing daily weather and temperature data for a future period such as 7 days. Information such as perceived temperature and humidity can also be taken into account. By combining historical water usage data with similar seasonal, weather, and temperature information, the total water consumption for 7 days and the peak water usage periods for 7 days can be estimated.

[0067] In some embodiments, the running data calculation module 2 is further configured to:

[0068] Based on water consumption and peak water usage data for a future period, the continuous operating time and start-stop frequency of the secondary water supply pump motors can be planned for that period. For example, after obtaining the water consumption data for 7 days and the water consumption corresponding to peak water usage periods, the continuous operating time and start-stop frequency of the secondary water supply pump motors can be planned while meeting water demand.

[0069] In some embodiments, the motor load capacity and historical operating status are also taken into account when planning the continuous operating time and start-stop frequency of the motor over a future period. Since the motors in secondary water supply pumps are expensive and prone to damage from prolonged operation, it is advisable to ensure that the motor's operating time does not exceed its load capacity while meeting water supply requirements. Furthermore, if an abnormal historical operating status of the motor is detected, an alarm should be triggered for maintenance, and the maintenance should ensure that no further abnormalities occur after maintenance, such as increased three-phase current imbalance, significantly increased vibration amplitude, motor stall, or abnormal winding temperature.

[0070] In some embodiments, the continuous operating time of the motor is determined by the automatic control strategy of the automatic constant pressure variable flow secondary water supply equipment. The automatic constant pressure variable flow secondary water supply equipment refers to equipment that maintains a constant water pressure for high-rise users, while changing the pump flow rate according to water demand. The automatic control strategy is as follows:

[0071] Determine whether the expected lifespan of the water pump exceeds a threshold; if it does not exceed the threshold, control the operation of the water pump in the secondary water supply equipment according to the secondary water supply pressure, and calculate the water pump operating time and the number of start-stop cycles; the threshold is a preset empirical value, the water pump operating time can be determined by dividing the estimated water consumption by the average water output, and the number of start-stop cycles can be estimated based on the historical number of start-stop cycles.

[0072] If the expected lifespan exceeds the threshold, the water pump is considered abnormal. Other water pumps in the secondary water supply system that are not considered abnormal are then started, and the required operating time and number of start-stop cycles for the other pumps are calculated. A typical secondary water supply system will have at least two sets of water pumps. If the predicted failure probability or predicted failure time of one of the pumps exceeds the threshold, an alarm will be triggered immediately, and maintenance will be scheduled, preferably during off-peak water usage periods.

[0073] In some embodiments, the lifetime estimation module 3 is specifically used for:

[0074] Acquire data on the motor's three-phase current imbalance, temperature, and vibration.

[0075] A remaining lifetime model was established and the remaining lifetime was estimated based on three-phase current imbalance, temperature and vibration data.

[0076] The expected lifespan is estimated based on predicted operating data and remaining lifespan.

[0077] In some embodiments, the remaining lifetime model specifically refers to:

[0078]

[0079]

[0080] Where f(t) is the remaining lifetime function, α and β are weighting coefficients, α + β < 1, and ε i (t) is the current unbalance function, i a (t), i b (t), i c T(t) represents the value of the three-phase current of the motor at time t, while T(t) represents the temperature value at time t, specifically the winding temperature. This temperature is used to monitor whether the accumulated temperature exceeds a certain range when the motor is overloaded, stalled, or experiencing winding problems. If it exceeds a certain range, for example, if the product of the obtained temperature value and the weighting coefficient β exceeds a preset threshold, it can be determined that the motor's lifespan is within a certain period and it should be repaired or replaced. x(t) is the proportional function of the amplitude exceeding the preset threshold at time t, monitoring the vibration of the motor casing. When abnormal vibration occurs in the motor, other amplitudes can also be judged as abnormal when their abnormality accumulates to a certain level. For example, the weighting coefficients of α and β can be determined based on expert scoring, i.e., determining the proportion of each item based on the frequency and probability of common problems. The resulting remaining lifespan function f(t) considering current imbalance, winding temperature, and motor vibration amplitude provides a more accurate expected lifespan value.

[0081] In this embodiment, the expected lifespan is the remaining lifespan calculated by subtracting the remaining lifespan from the historical data, which corresponds to the predicted operating data.

[0082] Implement column 3

[0083] This embodiment provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the secondary water supply pump damage early warning method in Embodiment 1.

[0084] The embodiments of the present invention are merely examples and should not impose any limitations on the functionality and scope of use of the embodiments of the present invention.

[0085] Electronic devices can take the form of general-purpose computing devices, such as server devices. Components of an electronic device may include, but are not limited to: at least one processor, at least one memory, and buses connecting different system components (including memory and processor).

[0086] The bus includes a data bus, an address bus, and a control bus.

[0087] The memory may include volatile memory, such as random access memory (RAM) and / or cache memory, and may further include read-only memory (ROM).

[0088] The memory may also include program tools having a set (at least one) of program modules, including but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of these examples may include an implementation of a network environment.

[0089] The processor performs various functional applications and data processing by running computer programs stored in memory.

[0090] Electronic devices can also communicate with one or more external devices (such as keyboards, pointing devices, etc.). This communication can be achieved through input / output (I / O) interfaces. Furthermore, electronic devices can communicate with one or more networks (such as local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) via network adapters. The network adapter communicates with other modules of the electronic device via a bus. It should be understood that, although not shown in the figures, other hardware and / or software modules can be used in conjunction with the electronic device, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems.

[0091] It should be noted that although several units / modules or sub-units / modules of the electronic device have been mentioned in the detailed description above, this division is merely exemplary and not mandatory. In fact, according to the embodiments of this application, the features and functions of two or more units / modules described above can be embodied in one unit / module. Conversely, the features and functions of one unit / module described above can be further divided and embodied by multiple units / modules.

[0092] Implement column 4

[0093] This embodiment provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the secondary water supply pump damage early warning method in Embodiment 1.

[0094] The readable storage medium may be more specifically adopted, including but not limited to: portable disk, hard disk, random access memory, read-only memory, erasable programmable read-only memory, optical storage device, magnetic storage device, or any suitable combination thereof.

[0095] In a possible implementation, the present invention can also be implemented as a program product comprising program code, wherein when the program product is run on a terminal device, the program code is used to cause the terminal device to perform the steps of implementing the secondary water supply pump damage early warning method described in Embodiment 1.

[0096] The program code for executing the present invention can be written in any combination of one or more programming languages. The program code can be executed entirely on the user device, partially on the user device, as a standalone software package, partially on the user device and partially on a remote device, or entirely on a remote device.

[0097] Although embodiments of the present disclosure have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the present disclosure, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A secondary water supply pump damage early warning method, characterized by, The method comprises the following steps: obtaining water consumption and peak water consumption period data in a future period of time; including: obtaining the number of existing minimum water consumption units that need to be supplied with water, obtaining the predicted number of minimum water consumption units in the future period of time according to the occupancy law of the secondary water supply object, and estimating the water consumption and peak water consumption period data according to the predicted number of minimum water consumption units and seasonal, weather and temperature information in the future period of time; obtaining predicted operation data of the secondary water supply pump under the condition of meeting the water demand according to the water consumption and peak water consumption period data in the future period of time, the operation data including the number of start-stop times and the duration of continuous operation; the specific steps of obtaining the predicted operation data of the secondary water supply pump are as follows: planning the duration of continuous operation of the motor of the secondary water supply pump and the number of start-stop times of the secondary water supply pump in the future period of time according to the water consumption and peak water consumption period data in the future period of time; the duration of continuous operation of the motor is determined by an automatic control strategy of the automatic constant-pressure variable-flow secondary water supply equipment, and the automatic control strategy is: judging whether the remaining life of the pump exceeds a threshold value; if none of the pumps exceeds the threshold value, then controlling the pump in the secondary water supply equipment according to the secondary water supply pressure, and calculating the operation time and the number of start-stop times of the pump; when it is judged that the predicted failure probability or the predicted failure time of the pump exceeds the threshold value, it is determined that the pump is abnormal, other pumps in the secondary water supply equipment that are not determined to be abnormal are started, and the time and the number of start-stop times that the other pumps need to operate are calculated; calculating the expected life of the secondary water supply pump according to the monitored historical pump operation data and the predicted operation data; including: obtaining three-phase current unbalance degree, temperature and vibration data of the motor of the secondary water supply pump; establishing a remaining life model according to the three-phase current unbalance degree, temperature and vibration data and estimating the remaining life; and estimating the expected life according to the predicted operation data and the remaining life.

2. The method of claim 1, wherein the method further comprises: determining whether the water level of the water tank is lower than a predetermined level; and if the water level of the water tank is lower than the predetermined level, displaying a message on the display unit to notify that the water tank is empty. The motor load capacity and the historical operation state of the motor are also considered when planning the duration of continuous operation of the motor of the secondary water supply pump and the number of start-stop times in the future period of time.

3. The method of claim 1, wherein the method further comprises: determining whether the water level of the water tank is lower than a predetermined level; and if the water level of the water tank is lower than the predetermined level, displaying a message on the display unit to notify that the water tank is empty. The remaining life model is specifically as follows: ， wherein the is a remaining life function, , is a weight coefficient, + <1, the is a current imbalance function, , , are respectively values of three-phase currents of the motor at time t, and is a temperature value at time t, is a proportion function of the amplitude exceeding a preset amplitude threshold at time t.

4. A secondary water supply pump damage early warning system, characterized by, The method comprises the following steps: a water consumption data prediction module for obtaining water consumption and peak water consumption period data in a future period of time; including: obtaining the number of existing minimum water consumption units that need to be supplied with water, obtaining the predicted number of minimum water consumption units in the future period of time according to the occupancy law of the secondary water supply object, and estimating the water consumption and peak water consumption period data according to the predicted number of minimum water consumption units and seasonal, weather and temperature information in the future period of time; The operation data calculation module obtains predicted operation data of the secondary water supply pump under the condition of meeting water demand according to the water consumption and peak water consumption period data in the future period of time, and the operation data includes start-stop times and continuous working time. The specific steps of obtaining the predicted operation data of the secondary water supply pump are as follows: planning the continuous working time and start-stop times of the motor of the secondary water supply pump in the future period of time according to the water consumption and peak water consumption period data in the future period of time; the continuous working time of the motor is determined by the automatic control strategy of the automatic constant pressure variable flow secondary water supply equipment, and the automatic control strategy is: judging whether the remaining life of the water pump exceeds a threshold value; if none of them exceeds the threshold value, then controlling the water pump in the secondary water supply equipment according to the secondary water supply pressure, and calculating the working time and start-stop times of the water pump; when it is judged that the predicted damage probability or the predicted damage time of the water pump exceeds the threshold value, it is determined that the water pump is abnormal, other water pumps in the secondary water supply equipment that are not determined to be abnormal are started, and the working time and start-stop times of the other water pumps are calculated. The life estimation module is used for calculating the expected life of the secondary water supply pump according to the monitored historical water pump operation data and the predicted operation data, and includes: obtaining three-phase current unbalance degree, temperature and vibration data of the motor of the secondary water supply pump; establishing a remaining life model according to the three-phase current unbalance degree, temperature and vibration data and estimating the remaining life; and estimating the expected life according to the predicted operation data and the remaining life.

5. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor executes the computer program to realize the secondary water supply pump damage early warning method of any one of claims 1 to 3.

6. A computer-readable storage medium having stored thereon a computer program, characterized in that, The program is executed by the processor to realize the steps of the secondary water supply pump damage early warning method of any one of claims 1 to 3.

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