Water pump fault prediction system

Abstract

The invention discloses a water pump fault prediction system, and relates to the field of water pump fault prediction.The water pump fault prediction system comprises a historical fault data preprocessing module, a fault data analysis module and a fault prediction module.The water pumps in a factory are screened, and the water pumps which are the same as a target water pump in type and have the same basic function parameters are obtained; the historical working data, the historical fault data and the historical maintenance data of the water pumps of the same type and with the same basic function parameters are screened for data analysis, so that the reliability and the effectiveness of fault prediction of the target water pump are indirectly improved; the historical working data, the historical fault data and the historical maintenance data of the water pumps of the same type and with the same basic function parameters are subjected to data screening matching, and screening is performed through the maintenance data, so that interference of maintenance on fault prediction is avoided, and the accuracy of reference data is improved; and the reliability and effectiveness of fault prediction of the target water pump are indirectly improved.

Description

Technical Field

[0001] The present application relates to the field of water pump fault prediction, and in particular to a water pump fault prediction system. Background Art

[0002] By real-time monitoring of the various operating parameters and historical data of the water pump, and using data analysis and prediction models, potential hidden faults can be discovered in advance. For example, when the vibration, temperature and other parameters of the water pump show abnormal change trends, the system can promptly issue an alarm to remind maintenance personnel to conduct inspections and repairs to avoid further development of the fault, thereby greatly improving the reliability of the water pump and reducing the time of unexpected downtime. The prediction results can help companies better plan maintenance work and reasonably arrange resources such as maintenance personnel, tools and spare parts. It avoids unnecessary maintenance work and waste of resources, improves the efficiency and benefits of maintenance work, and reduces overall maintenance costs; In complex industrial systems, water pumps are often a key link, and their failure may affect the normal operation of the entire system. Through accurate prediction and timely maintenance, the stable operation of the water pump can be guaranteed, thereby ensuring the continuity and stability of the entire system, providing reliable protection for the production activities of the enterprise. The existing technology still has the following shortcomings: Existing technologies usually detect faults through changes in a single piece of monitoring data. Such fault prediction will make the maintenance and management of the corresponding equipment in the factory inefficient, affect the normal production of the factory, reduce production efficiency and increase maintenance costs, and cannot provide reliable protection for the company's production activities. Summary of the invention

[0003] The object of the present invention is to provide a water pump fault prediction system to solve the problems raised in the above background technology.

[0004] To achieve the above object, the present invention provides the following technical solution: a water pump fault prediction system, comprising: Historical fault data preprocessing module: used to obtain the basic conditions of each water pump in the industrial park and conduct preliminary analysis and screening to obtain the fault comparison set corresponding to the target water pump; Fault data analysis module: used to perform data analysis on the fault comparison set corresponding to the target water pump to obtain the fault data reference set corresponding to the target water pump; Fault prediction module: used to perform data analysis based on the fault data reference set corresponding to the target water pump to obtain the fault prediction result corresponding to the target water pump.

[0005] The preferred solution of the present invention is that the specific implementation method of the historical fault data preprocessing module is as follows: Get the pump type and basic function parameters of each pump in the industrial park; Acquire a water pump type and basic function parameters of a target water pump, wherein one water pump type corresponds to a plurality of different basic function parameters; By performing an initial data match between the pump type and basic function parameters of the target pump and the pump type and basic function parameters of each pump in the industrial park, each pump having the same pump type and the same basic function parameters as the target pump is recorded as each first-level reference pump corresponding to the target pump, and each pump having the same pump type and different basic function parameters as the target pump is recorded as each second-level reference pump corresponding to the target pump; The water pump operation and maintenance log of the industrial park is obtained, where the work log includes the working data, fault data and maintenance data of each water pump in the industrial park, and the working data, fault data and maintenance data of the target water pump, each first-level comparison water pump and each second-level comparison water pump are obtained by screening, and the working data, fault data and maintenance data of the target water pump, each first-level comparison water pump and each second-level comparison water pump are recorded as the fault comparison set corresponding to the target water pump.

[0006] The preferred solution of the present invention is that the specific execution mode of the fault data analysis module is as follows: Establish a data extraction relationship between the fault data analysis module and the database, and extract the limit flow threshold interval corresponding to each pump type and basic function parameter stored in the database; Extract the theoretical monitoring data of water pumps corresponding to various task requirements for each water pump type and basic functional parameters stored in the database, where the theoretical monitoring data of water pumps refers to the theoretical values ​​of various monitoring data of water pumps in the process of completing task requirements; The working data includes the working tasks corresponding to the water pump, the task requirements corresponding to the working tasks, and the starting time and ending time corresponding to the working tasks, wherein the task requirements include the running time and flow change curve corresponding to the water pump; The flow rate refers to the amount of liquid delivered by the pump per unit time; The fault data includes each fault corresponding to the water pump, the fault time point corresponding to each fault and the monitoring data set used for each fault; The maintenance data includes each maintenance corresponding to the water pump and the maintenance time point corresponding to each maintenance; Obtain the maintenance time points of the latest maintenance and the next latest maintenance corresponding to the target water pump, record the maintenance time period between the latest maintenance and the next latest maintenance as the reference time period of the target water pump, and obtain the reference duration of the reference time period corresponding to the target water pump, where the next latest maintenance refers to the maintenance before the latest maintenance; The working data of the target water pump within the reference time period is obtained by screening the reference time period of the target water pump, and the working data of the target water pump within the reference time period is extracted and data analysis is performed with the limit flow threshold interval corresponding to each water pump type and basic function parameter stored in the database to obtain the task data and working operation data of the target water pump within the reference time period, wherein the task data includes each task of the target water pump within the reference time period, the start time and end time corresponding to each task, the running time of each task in the limit flow threshold interval and the interval time of each task, and the working operation data includes the task frequency of the target water pump within the reference time period, the total running time of the water pump and the total running time of the water pump in the limit flow threshold interval, and the task data and working operation data of the target water pump within the reference time period are recorded as the working data reference set corresponding to the target water pump; Obtain the preset allowable deviation range of primary data; The first-level data allowable deviation range refers to the various types of task data and various types of work operation data corresponding to the work data reference set within the allowable data deviation that can be used as reference data; Data interception is performed through the maintenance data of each first-level comparison water pump to obtain each maintenance time period corresponding to each first-level comparison water pump and the duration of each maintenance time period, and data analysis is performed on the working data of each maintenance time period corresponding to each first-level comparison water pump and the limit flow threshold interval corresponding to each water pump type and basic function parameter to obtain a reference set of working data of each first-level comparison water pump corresponding to each maintenance time period; In combination with the preset allowable deviation interval of the first-level data, the reference duration of the reference time period corresponding to the target water pump is first matched with the duration of each maintenance time period corresponding to each first-level comparison water pump, and then the working data reference set corresponding to the maintenance time period corresponding to the duration that matches the reference duration of the reference time period is matched, so as to obtain the maintenance time periods of each first-level comparison water pump that match the working data reference set corresponding to the target water pump and the reference duration of the reference time period, and the maintenance time periods of each first-level comparison water pump that match are recorded as the reference maintenance time periods of each first-level comparison water pump corresponding to the target water pump; Obtaining a preset secondary data ratio reference correction model; The secondary data ratio reference correction model refers to scaling the task data and working operation data in the working data reference set of each secondary reference water pump to the same degree of difference according to the degree of difference between the basic functional parameters of each secondary reference water pump and the target water pump; Data interception is performed through the maintenance data of each secondary comparison water pump to obtain each maintenance time period corresponding to each secondary comparison water pump and the duration of each maintenance time period, and data analysis is performed on the working data of each maintenance time period corresponding to each secondary comparison water pump and the limit flow threshold interval corresponding to each water pump type and basic function parameter to obtain a reference set of working data of each secondary comparison water pump corresponding to each maintenance time period; The working data reference set of each secondary comparison water pump corresponding to each maintenance time period is processed by the secondary data ratio reference correction model to obtain the corrected working data reference set of each secondary comparison water pump corresponding to each maintenance time period; Data matching is performed on the reference duration of the reference time period corresponding to the target water pump and the duration of each maintenance time period corresponding to each secondary comparison water pump, and then data matching is performed on the modified working data reference set corresponding to the maintenance time period corresponding to the duration that matches the reference duration of the reference time period, to obtain the maintenance time periods of each secondary comparison water pump that match the working data reference set corresponding to the target water pump and the reference duration of the reference time period, and the maintenance time periods of each matched secondary comparison water pump are recorded as the reference maintenance time periods of each secondary comparison water pump corresponding to the target water pump; The fault data of the target water pump within the reference time period is obtained by screening the reference time period of the target water pump, and the working data of the target water pump within the reference time period is extracted and analyzed with the theoretical monitoring data of the water pump corresponding to various task requirements of each water pump type and basic functional parameters stored in the database, so as to obtain the fault data and fault operation data of the target water pump within the reference time period, wherein the fault data includes the fault time point of each fault and the data deviation of each type of monitoring data corresponding to each fault, and the fault operation data includes the number of faults and the rate of change of fault frequency within a unit time period, and the fault data and fault operation data of the target water pump within the reference time period are recorded as the fault reference set corresponding to the target water pump; Through data screening, the fault reference set of each first-level comparison water pump corresponding to each reference maintenance time period and the fault reference set of each second-level comparison water pump corresponding to each reference maintenance time period are obtained, and the working data reference set and fault reference set of each first-level and second-level comparison water pump for each reference maintenance time period are recorded as the fault data reference set corresponding to the target water pump.

[0007] A preferred solution of the present invention is that the specific implementation method of the fault prediction module is as follows: The specific implementation of the fault prediction module is as follows: Match the start and end times corresponding to each task in the working data reference set and the fault reference set in each effective reference time period of the target water pump with the fault time point of each fault, and obtain the fault probability corresponding to the intermittent duration of each task in each effective reference time period of the target water pump, and obtain the fault probability corresponding to the running time of each task in the limit flow threshold interval, and obtain the duration of the maintenance time period, the total running time of the water pump, and the total running time of the water pump in the limit flow threshold interval. The data impact set for the data deviation of various monitoring data corresponding to each fault and the fault frequency change rate within a unit time period, where the data impact set refers to the change rate of the data deviation of various monitoring data corresponding to each fault and the increase rate of the fault frequency change rate within a unit time period, and obtain the task requirements corresponding to each task; Compare the fault probability corresponding to each task interval in each effective reference time period in the target water pump with the preset fault probability. If the fault probability of a task interval is greater than the preset fault probability, a fault warning is issued for the task interval and the task interval is recorded as the first fault prediction result. Compare the failure probability corresponding to the running time of each task in the limit flow threshold interval in each effective reference time period of the target water pump with the preset failure probability. If the failure probability of a task is greater than the preset failure probability, a failure warning is issued, and the failure warning for the task is recorded as the second failure warning result; The duration of the maintenance time period in each effective reference time period of the target water pump, the total operation time of the water pump and the total operation time of the water pump in the limit flow threshold interval are compared with the change rate of the data deviation of each type of monitoring data corresponding to each fault and the increase rate of the fault frequency change rate in the unit time period with the change rate threshold and the increase rate threshold. If the change rate of the data deviation of each type of monitoring data corresponding to each fault and the increase rate of the fault frequency change rate in the unit time period are greater than the threshold, the work task and maintenance are warned, which is recorded as the third fault warning result; Obtain a task list after the latest maintenance corresponding to the target water pump, match the task list after the latest maintenance corresponding to the target water pump with fault results one, two, and three, and obtain a fault prediction result corresponding to the target water pump.

[0008] Compared with the prior art, the present invention has the following beneficial effects: The present invention screens the water pumps in the factory to obtain water pumps of the same type and with the same basic functional parameters as the target water pump, and screens the historical working data, historical fault data and historical maintenance data of the water pumps of the same type and with the same basic functional parameters for data analysis, thereby indirectly improving the reliability and effectiveness of the target water pump fault prediction; The present invention screens and matches the historical working data, historical fault data and historical maintenance data of water pumps of the same type and having the same basic functional parameters. Screening through maintenance data not only avoids the interference of maintenance on fault prediction, but also helps to improve the accuracy of reference data, thereby indirectly improving the reliability and effectiveness of fault prediction of the target water pump. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0010] Figure 1 This is a schematic diagram of module connection according to an embodiment of the present invention. DETAILED DESCRIPTION

[0011] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0012] See also Figure 1 The present invention provides a water pump fault prediction system, which includes a historical fault data preprocessing module, a fault data analysis module and a fault prediction module.

[0013] The historical fault data preprocessing module is connected to the fault data analysis module, and the fault data analysis module is connected to the fault prediction module; Historical fault data preprocessing module: used to obtain the basic conditions of each water pump in the industrial park and conduct preliminary analysis and screening to obtain the fault comparison set corresponding to the target water pump; Furthermore, the specific implementation of the historical fault data preprocessing module is as follows: Get the pump type and basic function parameters of each pump in the industrial park; Acquire a water pump type and basic function parameters of a target water pump, wherein one water pump type corresponds to a plurality of different basic function parameters; By performing an initial data match between the pump type and basic function parameters of the target pump and the pump type and basic function parameters of each pump in the industrial park, each pump having the same pump type and the same basic function parameters as the target pump is recorded as each first-level reference pump corresponding to the target pump, and each pump having the same pump type and different basic function parameters as the target pump is recorded as each second-level reference pump corresponding to the target pump; The water pump operation and maintenance log of the industrial park is obtained, where the work log includes the working data, fault data and maintenance data of each water pump in the industrial park, and the working data, fault data and maintenance data of the target water pump, each first-level comparison water pump and each second-level comparison water pump are obtained by screening, and the working data, fault data and maintenance data of the target water pump, each first-level comparison water pump and each second-level comparison water pump are recorded as the fault comparison set corresponding to the target water pump.

[0014] Fault data analysis module: used to perform data analysis on the fault comparison set corresponding to the target water pump to obtain the fault data reference set corresponding to the target water pump; Furthermore, the specific execution mode of the fault data analysis module is as follows: Establish a data extraction relationship between the fault data analysis module and the database, and extract the limit flow threshold interval corresponding to each pump type and basic function parameter stored in the database; Extract the theoretical monitoring data of water pumps corresponding to various task requirements for each water pump type and basic functional parameters stored in the database, where the theoretical monitoring data of water pumps refers to the theoretical values ​​of various monitoring data of water pumps in the process of completing task requirements; The working data includes the working tasks corresponding to the water pump, the task requirements corresponding to the working tasks, and the starting time and ending time corresponding to the working tasks, wherein the task requirements include the running time and flow change curve corresponding to the water pump; The flow rate refers to the amount of liquid delivered by the pump per unit time; The fault data includes each fault corresponding to the water pump, the fault time point corresponding to each fault and the monitoring data set used for each fault; The maintenance data includes each maintenance corresponding to the water pump and the maintenance time point corresponding to each maintenance; Obtain the maintenance time points of the latest maintenance and the next latest maintenance corresponding to the target water pump, record the maintenance time period between the latest maintenance and the next latest maintenance as the reference time period of the target water pump, and obtain the reference duration of the reference time period corresponding to the target water pump, where the next latest maintenance refers to the maintenance before the latest maintenance; The working data of the target water pump within the reference time period is obtained by screening the reference time period of the target water pump, and the working data of the target water pump within the reference time period is extracted and data analysis is performed with the limit flow threshold interval corresponding to each water pump type and basic function parameter stored in the database to obtain the task data and working operation data of the target water pump within the reference time period, wherein the task data includes each task of the target water pump within the reference time period, the start time and end time corresponding to each task, the running time of each task in the limit flow threshold interval and the interval time of each task, and the working operation data includes the task frequency of the target water pump within the reference time period, the total running time of the water pump and the total running time of the water pump in the limit flow threshold interval, and the task data and working operation data of the target water pump within the reference time period are recorded as the working data reference set corresponding to the target water pump; Obtain the preset allowable deviation range of primary data; The first-level data allowable deviation range refers to the various types of task data and various types of work operation data corresponding to the work data reference set within the allowable data deviation that can be used as reference data; Data interception is performed through the maintenance data of each first-level comparison water pump to obtain each maintenance time period corresponding to each first-level comparison water pump and the duration of each maintenance time period, and data analysis is performed on the working data of each maintenance time period corresponding to each first-level comparison water pump and the limit flow threshold interval corresponding to each water pump type and basic function parameter to obtain a reference set of working data of each first-level comparison water pump corresponding to each maintenance time period; In combination with the preset allowable deviation interval of the first-level data, the reference duration of the reference time period corresponding to the target water pump is first matched with the duration of each maintenance time period corresponding to each first-level comparison water pump, and then the working data reference set corresponding to the maintenance time period corresponding to the duration that matches the reference duration of the reference time period is matched, so as to obtain the maintenance time periods of each first-level comparison water pump that match the working data reference set corresponding to the target water pump and the reference duration of the reference time period, and the maintenance time periods of each first-level comparison water pump that match are recorded as the reference maintenance time periods of each first-level comparison water pump corresponding to the target water pump; Obtaining a preset secondary data ratio reference correction model; The secondary data ratio reference correction model refers to scaling the task data and working operation data in the working data reference set of each secondary reference water pump to the same degree of difference according to the degree of difference between the basic functional parameters of each secondary reference water pump and the target water pump; Data interception is performed through the maintenance data of each secondary comparison water pump to obtain each maintenance time period corresponding to each secondary comparison water pump and the duration of each maintenance time period, and data analysis is performed on the working data of each maintenance time period corresponding to each secondary comparison water pump and the limit flow threshold interval corresponding to each water pump type and basic function parameter to obtain a reference set of working data of each secondary comparison water pump corresponding to each maintenance time period; The working data reference set of each secondary comparison water pump corresponding to each maintenance time period is processed by the secondary data ratio reference correction model to obtain the corrected working data reference set of each secondary comparison water pump corresponding to each maintenance time period; Data matching is performed on the reference duration of the reference time period corresponding to the target water pump and the duration of each maintenance time period corresponding to each secondary comparison water pump, and then data matching is performed on the modified working data reference set corresponding to the maintenance time period corresponding to the duration that matches the reference duration of the reference time period, to obtain the maintenance time periods of each secondary comparison water pump that match the working data reference set corresponding to the target water pump and the reference duration of the reference time period, and the maintenance time periods of each matched secondary comparison water pump are recorded as the reference maintenance time periods of each secondary comparison water pump corresponding to the target water pump; The fault data of the target water pump within the reference time period is obtained by screening the reference time period of the target water pump, and the working data of the target water pump within the reference time period is extracted and analyzed with the theoretical monitoring data of the water pump corresponding to various task requirements of each water pump type and basic functional parameters stored in the database, so as to obtain the fault data and fault operation data of the target water pump within the reference time period, wherein the fault data includes the fault time point of each fault and the data deviation of each type of monitoring data corresponding to each fault, and the fault operation data includes the number of faults and the rate of change of fault frequency within a unit time period, and the fault data and fault operation data of the target water pump within the reference time period are recorded as the fault reference set corresponding to the target water pump; Through data screening, the fault reference set of each first-level comparison water pump corresponding to each reference maintenance time period and the fault reference set of each second-level comparison water pump corresponding to each reference maintenance time period are obtained, and the working data reference set and fault reference set of each first-level and second-level comparison water pump for each reference maintenance time period are recorded as the fault data reference set corresponding to the target water pump.

[0015] Fault prediction module: used to perform data analysis based on the fault data reference set corresponding to the target water pump to obtain the fault prediction result corresponding to the target water pump.

[0016] Furthermore, the specific implementation of the fault prediction module is as follows: Match the start and end times corresponding to each task in the working data reference set and the fault reference set in each effective reference time period of the target water pump with the fault time point of each fault, and obtain the fault probability corresponding to the intermittent duration of each task in each effective reference time period of the target water pump, and obtain the fault probability corresponding to the running time of each task in the limit flow threshold interval, and obtain the duration of the maintenance time period, the total running time of the water pump, and the total running time of the water pump in the limit flow threshold interval. The data impact set for the data deviation of various monitoring data corresponding to each fault and the fault frequency change rate within a unit time period, where the data impact set refers to the change rate of the data deviation of various monitoring data corresponding to each fault and the increase rate of the fault frequency change rate within a unit time period, and obtain the task requirements corresponding to each task; Compare the fault probability corresponding to each task interval in each effective reference time period in the target water pump with the preset fault probability. If the fault probability of a task interval is greater than the preset fault probability, a fault warning is issued for the task interval and the task interval is recorded as the first fault prediction result. Compare the failure probability corresponding to the running time of each task in the limit flow threshold interval in each effective reference time period of the target water pump with the preset failure probability. If the failure probability of a task is greater than the preset failure probability, a failure warning is issued, and the failure warning for the task is recorded as the second failure warning result; The duration of the maintenance time period in each effective reference time period of the target water pump, the total operation time of the water pump and the total operation time of the water pump in the limit flow threshold interval are compared with the change rate of the data deviation of each type of monitoring data corresponding to each fault and the increase rate of the fault frequency change rate in the unit time period with the change rate threshold and the increase rate threshold. If the change rate of the data deviation of each type of monitoring data corresponding to each fault and the increase rate of the fault frequency change rate in the unit time period are greater than the threshold, the work task and maintenance are warned, which is recorded as the third fault warning result; Obtain a task list after the latest maintenance corresponding to the target water pump, match the task list after the latest maintenance corresponding to the target water pump with fault results one, two, and three, and obtain a fault prediction result corresponding to the target water pump.

[0017] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A water pump fault prediction system, characterized in that: include: Historical fault data preprocessing module: used to obtain the basic conditions of each water pump in the industrial park and conduct preliminary analysis and screening to obtain the fault comparison set corresponding to the target water pump; Fault data analysis module: used to perform data analysis on the fault comparison set corresponding to the target water pump to obtain the fault data reference set corresponding to the target water pump; Fault prediction module: used to perform data analysis based on the fault data reference set corresponding to the target water pump to obtain the fault prediction result corresponding to the target water pump.

2. A water pump failure prediction system according to claim 1, characterized in that: The specific implementation method of the historical fault data preprocessing module is as follows: Get the pump type and basic function parameters of each pump in the industrial park; Acquire a water pump type and basic function parameters of a target water pump, wherein one water pump type corresponds to a plurality of different basic function parameters; By performing an initial data match between the pump type and basic function parameters of the target pump and the pump type and basic function parameters of each pump in the industrial park, each pump having the same pump type and the same basic function parameters as the target pump is recorded as each first-level reference pump corresponding to the target pump, and each pump having the same pump type and different basic function parameters as the target pump is recorded as each second-level reference pump corresponding to the target pump; The water pump operation and maintenance log of the industrial park is obtained, where the work log includes the working data, fault data and maintenance data of each water pump in the industrial park, and the working data, fault data and maintenance data of the target water pump, each first-level comparison water pump and each second-level comparison water pump are obtained by screening, and the working data, fault data and maintenance data of the target water pump, each first-level comparison water pump and each second-level comparison water pump are recorded as the fault comparison set corresponding to the target water pump.

3. A water pump failure prediction system according to claim 1, characterized in that: The specific implementation method of the fault data analysis module is as follows: Establish a data extraction relationship between the fault data analysis module and the database, and extract the limit flow threshold interval corresponding to each pump type and basic function parameter stored in the database; Extract the theoretical monitoring data of water pumps corresponding to various task requirements for each water pump type and basic functional parameters stored in the database, where the theoretical monitoring data of water pumps refers to the theoretical values ​​of various monitoring data of water pumps in the process of completing task requirements; The working data includes the working tasks corresponding to the water pump, the task requirements corresponding to the working tasks, and the starting time and ending time corresponding to the working tasks, wherein the task requirements include the running time and flow change curve corresponding to the water pump; The flow rate refers to the amount of liquid delivered by the pump per unit time; The fault data includes each fault corresponding to the water pump, the fault time point corresponding to each fault and the monitoring data set used for each fault; The maintenance data includes each maintenance corresponding to the water pump and the maintenance time point corresponding to each maintenance; Obtain the maintenance time points of the latest maintenance and the next latest maintenance corresponding to the target water pump, record the maintenance time period between the latest maintenance and the next latest maintenance as the reference time period of the target water pump, and obtain the reference duration of the reference time period corresponding to the target water pump, where the next latest maintenance refers to the maintenance before the latest maintenance; The working data of the target water pump within the reference time period is obtained by screening the reference time period of the target water pump, and the working data of the target water pump within the reference time period is extracted and data analysis is performed with the limit flow threshold interval corresponding to each water pump type and basic function parameter stored in the database to obtain the task data and working operation data of the target water pump within the reference time period, wherein the task data includes each task of the target water pump within the reference time period, the start time and end time corresponding to each task, the running time of each task in the limit flow threshold interval and the interval time of each task, and the working operation data includes the task frequency of the target water pump within the reference time period, the total running time of the water pump and the total running time of the water pump in the limit flow threshold interval, and the task data and working operation data of the target water pump within the reference time period are recorded as the working data reference set corresponding to the target water pump; Obtain the preset allowable deviation range of primary data; The first-level data allowable deviation range refers to the various types of task data and various types of work operation data corresponding to the work data reference set within the allowable data deviation that can be used as reference data; Data interception is performed through the maintenance data of each first-level comparison water pump to obtain each maintenance time period corresponding to each first-level comparison water pump and the duration of each maintenance time period, and data analysis is performed on the working data of each maintenance time period corresponding to each first-level comparison water pump and the limit flow threshold interval corresponding to each water pump type and basic function parameter to obtain a reference set of working data of each first-level comparison water pump corresponding to each maintenance time period; In combination with the preset allowable deviation interval of the first-level data, the reference duration of the reference time period corresponding to the target water pump is first matched with the duration of each maintenance time period corresponding to each first-level comparison water pump, and then the working data reference set corresponding to the maintenance time period corresponding to the duration that matches the reference duration of the reference time period is matched, so as to obtain the maintenance time periods of each first-level comparison water pump that match the working data reference set corresponding to the target water pump and the reference duration of the reference time period, and the maintenance time periods of each first-level comparison water pump that match are recorded as the reference maintenance time periods of each first-level comparison water pump corresponding to the target water pump; Obtaining a preset secondary data ratio reference correction model; The secondary data ratio reference correction model refers to scaling the task data and working operation data in the working data reference set of each secondary reference water pump to the same degree of difference according to the degree of difference between the basic functional parameters of each secondary reference water pump and the target water pump; Data interception is performed through the maintenance data of each secondary comparison water pump to obtain each maintenance time period corresponding to each secondary comparison water pump and the duration of each maintenance time period, and data analysis is performed on the working data of each maintenance time period corresponding to each secondary comparison water pump and the limit flow threshold interval corresponding to each water pump type and basic function parameter to obtain a reference set of working data of each secondary comparison water pump corresponding to each maintenance time period; The working data reference set of each secondary comparison water pump corresponding to each maintenance time period is processed by the secondary data ratio reference correction model to obtain the corrected working data reference set of each secondary comparison water pump corresponding to each maintenance time period; Data matching is performed on the reference duration of the reference time period corresponding to the target water pump and the duration of each maintenance time period corresponding to each secondary comparison water pump, and then data matching is performed on the modified working data reference set corresponding to the maintenance time period corresponding to the duration that matches the reference duration of the reference time period, to obtain the maintenance time periods of each secondary comparison water pump that match the working data reference set corresponding to the target water pump and the reference duration of the reference time period, and the maintenance time periods of each matched secondary comparison water pump are recorded as the reference maintenance time periods of each secondary comparison water pump corresponding to the target water pump; The fault data of the target water pump within the reference time period is obtained by screening the reference time period of the target water pump, and the working data of the target water pump within the reference time period is extracted and analyzed with the theoretical monitoring data of the water pump corresponding to various task requirements of each water pump type and basic functional parameters stored in the database, so as to obtain the fault data and fault operation data of the target water pump within the reference time period, wherein the fault data includes the fault time point of each fault and the data deviation of each type of monitoring data corresponding to each fault, and the fault operation data includes the number of faults and the rate of change of fault frequency within a unit time period, and the fault data and fault operation data of the target water pump within the reference time period are recorded as the fault reference set corresponding to the target water pump; Through data screening, the fault reference set of each first-level comparison water pump corresponding to each reference maintenance time period and the fault reference set of each second-level comparison water pump corresponding to each reference maintenance time period are obtained, and the working data reference set and fault reference set of each first-level and second-level comparison water pump for each reference maintenance time period are recorded as the fault data reference set corresponding to the target water pump.

4. A water pump failure prediction system according to claim 3, characterized in that: The specific implementation method of the fault prediction module is as follows: Match the start and end times corresponding to each task in the working data reference set and the fault reference set in each effective reference time period of the target water pump with the fault time point of each fault, and obtain the fault probability corresponding to the intermittent duration of each task in each effective reference time period of the target water pump, and obtain the fault probability corresponding to the running time of each task in the limit flow threshold interval, and obtain the duration of the maintenance time period, the total running time of the water pump, and the total running time of the water pump in the limit flow threshold interval. The data impact set for the data deviation of various monitoring data corresponding to each fault and the fault frequency change rate within a unit time period, where the data impact set refers to the change rate of the data deviation of various monitoring data corresponding to each fault and the increase rate of the fault frequency change rate within a unit time period, and obtain the task requirements corresponding to each task; Compare the fault probability corresponding to each task interval in each effective reference time period in the target water pump with the preset fault probability. If the fault probability of a task interval is greater than the preset fault probability, a fault warning is issued for the task interval and the task interval is recorded as the first fault prediction result. Compare the failure probability corresponding to the running time of each task in the limit flow threshold interval in each effective reference time period of the target water pump with the preset failure probability. If the failure probability of a task is greater than the preset failure probability, a failure warning is issued, and the failure warning for the task is recorded as the second failure warning result; The duration of the maintenance time period in each effective reference time period of the target water pump, the total operation time of the water pump and the total operation time of the water pump in the limit flow threshold interval are compared with the change rate of the data deviation of each type of monitoring data corresponding to each fault and the increase rate of the fault frequency change rate in the unit time period with the change rate threshold and the increase rate threshold. If the change rate of the data deviation of each type of monitoring data corresponding to each fault and the increase rate of the fault frequency change rate in the unit time period are greater than the threshold, the work task and maintenance are warned, which is recorded as the third fault warning result; Obtain a task list after the latest maintenance corresponding to the target water pump, match the task list after the latest maintenance corresponding to the target water pump with fault results one, two, and three, and obtain a fault prediction result corresponding to the target water pump.

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