An Internet of Things-based real-time monitoring system, method, device and medium for the temperature and vibration conditions of a water guide pump

Abstract

The present invention discloses a real-time monitoring system, method, device and medium for the temperature and vibration conditions of a water guide pump based on the Internet of Things. By utilizing the feature of the one-use-one-backup operation of the water guide pump, two intelligent temperature and vibration wireless sensors are arranged on the water guide pump motor. Each of the two intelligent temperature and vibration wireless sensors measures a set of temperature and vibration data of the operating water guide pump and a set of temperature and vibration data of the standby water guide pump, and uses the temperature and vibration data of the standby water guide pump to eliminate the temperature and vibration data of the operating water guide pump and the background noise of the operating environment. Then, the data is analyzed, and according to the fault warning value and fault criterion, fault warning or fault type determination is carried out. In the present invention, the two intelligent temperature and vibration wireless sensors are arranged in the same direction, and the vibration measurement value of the standby pump is cleverly used as the background noise of the vibration measurement value of the main pump, and the approximate true value of the vibration of the main pump is obtained through calculation, avoiding the interference caused by environmental vibration to a certain extent, and realizing the monitoring of the actual vibration of the equipment installed on the unstable base surface.

Description

Technical Field

[0001] The present invention belongs to the technical field of hydroelectric power station water guide monitoring, and particularly relates to a real-time monitoring system, method, device and medium for the temperature, vibration and working conditions of a water guide pump based on the Internet of Things. Background Technique

[0002] The water guide bearing of large hydro-generating units often adopts a shaftless collar structure, and a forced oil circulation system is formed by an oil pump to realize the lubrication and cooling of the water guide bearing bush. This oil pump (water guide pump) usually adopts a main and a standby configuration. During the operation of the system, the main pump always maintains operation, and the standby pump is started after the main pump fails. If both water guide pumps fail simultaneously, it may cause the unit to be shut down unexpectedly, and even cause the accident of burning the water guide bearing bush, thus causing huge direct and indirect economic losses. Therefore, as one of the core auxiliary equipment of the shaftless collar hydro-generating unit, the health status of the water guide pump has always been the focus of operation monitoring.

[0003] Currently, for the monitoring of the abnormal operation state of the water guide pump, it mainly relies on two methods: monitoring system alarm and manual inspection. As Figure 1 shown.

[0004] Monitoring system alarm: The monitoring data such as the pressure and flow of the water guide pump are sent to the power station monitoring system through hard wiring. Each measured value is displayed in real time in the monitoring system, and an alarm value is set; when the measured value exceeds the limit, the monitoring system sends an alarm signal to remind the operator to check and handle.

[0005] Manual inspection: Through the daily equipment inspection by the operator, directly observe the operation state of the equipment and the measured values of each pressure gauge and flowmeter to judge whether the water guide pump is operating normally.

[0006] Both of the above two methods have certain monitoring inconveniences and monitoring blind spots.

[0007] Discovering the abnormal operation state of the water guide pump through the monitoring system alarm relies on the local control unit of each unit, with complex wiring and inconvenient maintenance. Data viewing can only be carried out through the operator station in the central control room, which has limitations. In addition, the monitoring parameters are only data such as the outlet oil pressure and flow of the water guide pump, which reflect the operation state of the water guide pump from the side, lacking monitoring means for directly reflecting the working conditions such as the running temperature and vibration of the water guide pump body.

[0008] Discovering the abnormal operation state of the water guide pump through manual inspection has high requirements for the experience of the inspection personnel. The water guide pump is often installed in the turbine top cover and will be interfered by various factors such as environmental temperature and unit vibration during operation. The operation environment is complex, and it is inconvenient for personnel to conduct inspections and anomalies cannot be discovered in time.

[0009] Neither of the above two methods has a data analysis function, lacking the data and technical support for evaluating the operating status of the water guide pump, being unable to conduct quantitative analysis on abnormal working conditions that are occurring or about to occur, and also unable to trace the history or give early warnings of trends for the abnormal working conditions of the pump. Summary of the Invention

[0010] The purpose of the present invention is to propose a real-time monitoring system, method, device and medium for the temperature and vibration conditions of a water guide pump based on the Internet of Things in view of the deficiencies of the prior art. By the characteristics of the one-use-one-backup operation of the water guide pump, two intelligent temperature and vibration wireless sensors are arranged on the radiator fins of the water guide pump motor in the same direction. Each of the two intelligent temperature and vibration wireless sensors measures a set of temperature and vibration data of the operating water guide pump and a set of temperature and vibration data of the standby water guide pump, and sends them to the outdoor industrial base station through wireless communication; the base station then accesses the production area wireless WIFI network cabinet through an Ethernet twisted pair, and accesses the power station WiFi local area network; on the upper computer in the power station WiFi environment, this system runs to obtain the temperature and vibration condition information of each unit's water guide pump, and processes the temperature and vibration data information through the data processing module, and decomposes the vibration data into the vibration data of the vertical axis (Z-axis) and the horizontal axes (X, Y axes) of the water guide pump; after the data noise reduction module eliminates the background noise of the water guide pump operating environment, the data analysis module conducts data analysis, and at the same time views the temperature and vibration waveforms through the waveform export function, and saves the waveforms according to the analysis requirements. After the analysis is completed, according to the fault warning value and fault criterion, fault warning or fault type determination is carried out.

[0011] In one aspect of the present invention, a real-time monitoring system for the temperature and vibration conditions of a water guide pump based on the Internet of Things is provided, including:

[0012] A data acquisition module, which includes intelligent temperature and vibration wireless sensors, an outdoor industrial base station and a power station WiFi local area network that are matched with the intelligent temperature and vibration wireless sensors. The data acquisition module is used to collect the temperature and vibration data of the water guide pump, convert the communication protocol through the outdoor industrial base station and then access the power station WiFi local area network, and transmit the collected temperature and vibration data to the data processing module;

[0013] A data processing module, which is used to receive the temperature and vibration data sent to the power station WiFi local area network by the data acquisition module, obtain and record the temperature and vibration data, and display the processed data in a graphical interface;

[0014] A data noise reduction module, which is used to eliminate the background noise caused by the water guide pump operating environment in the temperature and vibration data;

[0015] A data analysis module, which is used to calculate the average temperature value, maximum temperature value, average vibration value, maximum vibration value, vibration frequency value, temperature and vibration change trend and rate, and vibration fundamental wave and harmonic content after the temperature and vibration data noise reduction module eliminates the background noise;

[0016] The waveform export and recording module is used to export and record data waveforms, establish a historical database, and achieve historical traceability. The waveform recording methods include manually recording waveforms and automatically recording waveforms when an over-limit alarm occurs;

[0017] The fault warning module is used to issue an alarm when the temperature and vibration data are close to the limit values for manual inspection decision-making;

[0018] The fault diagnosis module is used to compare the over-limit values with the preset fault characteristics to determine the fault type.

[0019] On the other hand, the present invention provides a real-time monitoring method for the temperature and vibration conditions of a water guide pump based on the Internet of Things, including the following steps:

[0020] S1 Use two water guide pumps, one in use and one in standby, as the monitoring objects. Install an intelligent temperature and vibration wireless sensor on each of the two water guide pumps. Arrange the two intelligent temperature and vibration wireless sensors in the same direction to collect the motor temperature and vibration data of the two water guide pumps respectively, and access the power station WIFI local area network after converting the communication protocol through an outdoor industrial base station;

[0021] S2 Receive the temperature and vibration data sent to the power station WIFI local area network, obtain and record the temperature and vibration data, and display the processed data in a graphical interface;

[0022] S3 Eliminate the background noise in the temperature and vibration data caused by the operating environment of the water guide pump;

[0023] S4 After eliminating the background noise, calculate the average temperature value, maximum temperature value, average vibration value, maximum vibration value, vibration frequency value, temperature and vibration change trend and rate, vibration fundamental wave and harmonic content;

[0024] S5 Export and record the data waveforms, establish a historical database, and achieve historical traceability;

[0025] S6 Issue an alarm when the temperature and vibration data are close to the limit values for manual inspection decision-making;

[0026] S7 When the temperature and vibration data exceed the limit values, compare the over-limit values with the preset fault characteristics to determine the fault type.

[0027] Preferably, step S3 specifically includes the following steps:

[0028] S31 Collect the vibration data of the X, Y, and Z axes of the operating pump and the standby pump respectively;

[0029] S32 Use the vibration data of the standby pump as the environmental background noise data, and subtract the vibration data of the standby pump corresponding to the X, Y, and Z axes from the vibration data of the operating pump on the X, Y, and Z axes, that is, calculate the approximate true vibration data of the operating pump.

[0030] Preferably, step S7 specifically includes the following steps:

[0031] S71 Preset the following fault characteristics and fault types:

[0032] The fault type is voltage imbalance of the oil pump motor, air gap or magnetic circuit imbalance, and the corresponding fault characteristic is that the fundamental vibration frequency is twice the power supply frequency, i.e., 2f = 100HZ; the vibration amplitude is positively correlated with the motor load, and the motor heat generation increases, and the temperature measurement value rises;

[0033] The fault type is looseness of the stator core or stator coil, and the corresponding fault characteristic is that the fundamental vibration frequency is twice the power supply frequency, i.e., 2f = 100HZ, and at the same time, harmonic components of 4f, 6f, and 8f will also appear;

[0034] The fault type is bending of the oil pump shaft or eccentricity between the rotor and the shaft, and loosening of the motor base foot screws. The corresponding fault characteristic is that the fundamental vibration frequency is twice the power supply frequency, i.e., 2f = 100HZ, and the vibration amplitude is positively correlated with the motor load;

[0035] The fault type is abnormal rotor winding, including broken rotor bars and poor rotor contact. The corresponding fault characteristic is that sidebands of ±2sf appear on both sides of the fundamental frequency in the frequency spectrum diagram, and the larger the sidebands, the more serious the fault; when the motor load increases, the vibration increases accordingly, and it is significant when the load exceeds 50%;

[0036] The fault type is overload of the oil pump motor and blockage of the oil pipe, and the corresponding fault characteristic is a significant increase in the motor heat generation;

[0037] S72 Set the limit values of temperature and vibration data under normal working conditions;

[0038] S73 When the temperature and vibration data exceed the limit values, compare the over-limit values with the preset fault characteristics to determine the fault type.

[0039] On the other hand, the present invention provides an electronic device, including a memory and a processor. When the computer program stored in the memory is executed by the processor, the processor executes the steps of the real-time monitoring method for the temperature and vibration conditions of the water guide pump based on the Internet of Things described in any one of the above.

[0040] On the other hand, the present invention provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed, the real-time monitoring method for the temperature and vibration conditions of the water guide pump based on the Internet of Things described in any one of the above is realized.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] 1. The present invention adopts a data transmission mode based on the Internet of Things, without laying cables or adding relevant equipment to the electrical circuit of the water guide pump, and does not affect the normal operation of the external water circulation system and other equipment of the water guide; the system is deployed locally to realize remote real-time monitoring of the operating status of the water guide pump in a local area network environment.

[0043] 2. By taking advantage of the one-use-one-backup operation characteristic of the water guide pump, the present invention arranges two intelligent temperature and vibration wireless sensors in the same direction, and cleverly uses the vibration measurement value of the standby pump as the background noise of the vibration measurement value of the main pump, and calculates the approximate true value of the vibration of the main pump, avoiding the interference caused by environmental vibration to a certain extent, and realizing the monitoring of the actual vibration of the equipment installed on an unstable base surface.

[0044] 3. The present invention sets corresponding judgment criteria in the system according to the characteristics of various faults, and can automatically judge most of the faults of the water guide pump, improving the efficiency and accuracy of fault diagnosis.

[0045] 4. The system of the present invention has great scalability and strong applicability. According to the different operating environments of the water guide pump, data such as oil pressure, oil temperature, and humidity can be accessed according to requirements, the type of detection data can be expanded, and comprehensive data analysis can be carried out. At the same time, it can be applied to the real-time status monitoring of other motors, such as governor pressure oil pumps, high-pressure oil pumps, deep well pumps in sump wells, etc. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 It is a monitoring flowchart of the abnormal operating state of the water guide pump in a hydropower station in the prior art mentioned in the background art of the present invention.

[0047] Figure 2 It is a structural block diagram of a real-time monitoring system for the temperature and vibration conditions of a water guide pump based on the Internet of Things provided in Embodiment 1 of the present invention.

[0048] Figure 3 It is a topology diagram of a real-time monitoring system for the temperature and vibration conditions of a water guide pump based on the Internet of Things provided in Embodiment 1 of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0049] The embodiment of the present invention provides a real-time monitoring system, method, device and medium for the temperature and vibration conditions of a water guide pump based on the Internet of Things, realizing the networking, integration and intelligence of the real-time monitoring of the temperature and vibration conditions of the water guide pump, and greatly improving the accuracy, convenience and real-time performance of the monitoring and fault diagnosis of the temperature and vibration conditions of the water guide pump. The present invention reduces the workload of operating personnel and solves the problems of data isolation, low automation level and inability to quantitatively analyze existing in the operation management process of the existing water guide pump.

[0050] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0051] Refer to Figure 2 and Figure 3 , Figure 2 FIG. Figure 2 is a structural block diagram of a real-time monitoring system for the temperature and vibration conditions of a water guide pump based on the Internet of Things provided in the first embodiment of the present invention. Figure 3 FIG. Figure 3 is a topology diagram of a real-time monitoring system for the temperature and vibration conditions of a water guide pump based on the Internet of Things provided in the first embodiment of the present invention.

[0052] As a preferred embodiment of the present invention, this embodiment provides a real-time monitoring system for the temperature and vibration conditions of a water guide pump based on the Internet of Things, including:

[0053] A data acquisition module, which includes intelligent temperature and vibration wireless sensors, an outdoor industrial base station and a power station WIFI local area network that are compatible with the intelligent temperature and vibration wireless sensors. The data acquisition module is used to collect the temperature and vibration data of the water guide pump, convert the communication protocol through the outdoor industrial base station and then access the power station WIFI local area network, and transmit the collected temperature and vibration data to the data processing module;

[0054] A data processing module, which is used to receive the temperature and vibration data sent from the data acquisition module to the power station WIFI local area network, obtain and record the temperature and vibration data, and display the processed data in a graphical interface;

[0055] A data noise reduction module, which is used to eliminate the background noise caused by the operating environment of the water guide pump in the temperature and vibration data;

[0056] A data analysis module, which is used to calculate the average temperature value, the maximum temperature value, the average vibration value, the maximum vibration value, the vibration frequency value, the temperature and vibration change trend and rate, and the vibration fundamental wave and harmonic content after the temperature and vibration data noise reduction module eliminates the background noise;

[0057] A waveform export and recording module, which is used to export and record the data waveforms, establish a historical database, and realize historical traceability. The waveform recording methods include manually recording waveforms and automatically recording waveforms for out-of-limit alarms;

[0058] A fault warning module, which is used to issue an alarm when the temperature and vibration data are close to the limit values for manual inspection decision-making;

[0059] A fault diagnosis module, which is used to compare the out-of-limit values with the preset fault characteristics to determine the fault type.

[0060] In this embodiment, the intelligent temperature and vibration wireless sensor sends signals to the base station through LoRa wireless communication, and the base station then accesses the power station WiFi local area network through Ethernet twisted pair; the user realizes functions such as remote real-time monitoring, fault alarm, and data processing of the running state of the water guide pump on the upper computer in the power station WiFi local area network environment by running and logging in to the real-time monitoring system of the water guide pump temperature and vibration condition.

[0061] As another preferred embodiment of the present invention, this embodiment provides a method for real-time monitoring of the temperature and vibration condition of a water guide pump based on the Internet of Things, including the following steps:

[0062] S1 Take two water guide pumps with one in use and one in reserve as the monitoring objects, install an intelligent temperature and vibration wireless sensor on each of the two water guide pumps, arrange the two intelligent temperature and vibration wireless sensors in the same direction, respectively collect the motor temperature and vibration data of the two water guide pumps, and access the power station WIFI local area network after converting the communication protocol through an outdoor industrial base station;

[0063] S2 Receive the temperature and vibration data sent to the power station WIFI local area network, obtain and record the temperature and vibration data, and display the processed data in a graphical interface;

[0064] S3 Eliminate the basic noise in the temperature and vibration data caused by the operating environment of the water guide pump;

[0065] S4 After eliminating the basic noise, calculate the average temperature value, maximum temperature value, average vibration value, maximum vibration value, vibration frequency value, temperature and vibration change trend and rate, vibration fundamental wave and harmonic content;

[0066] S5 Export and record the data waveform, establish a historical database, and realize historical traceability;

[0067] S6 When the temperature and vibration data are close to the limit value, issue an alarm for manual inspection decision-making;

[0068] S7 When the temperature and vibration data exceed the limit value, compare the over-limit value with the preset fault characteristics to determine the fault type.

[0069] In some preferred embodiments, step S3 in the above embodiment specifically includes the following steps:

[0070] S31 Respectively collect the vibration data of the X, Y, and Z axes of the running pump and the standby pump;

[0071] S32 Take the vibration data of the standby pump as the environmental background noise data, and subtract the vibration data of the running pump on the X, Y, and Z axes from the corresponding vibration data of the standby pump on the X, Y, and Z axes, that is, calculate the approximate true vibration data of the running pump.

[0072] In some other preferred embodiments, step S7 in the above embodiments specifically includes the following steps:

[0073] S71 Preset the following fault characteristics and fault types:

[0074] The fault type is voltage imbalance of the oil pump motor, air gap or magnetic circuit imbalance, and the corresponding fault characteristic is that the fundamental frequency vibration frequency is twice the power supply frequency, that is, 2f = 100HZ; the vibration amplitude is positively correlated with the motor load, and the heat generation of the motor increases, and the temperature measurement value rises;

[0075] The fault type is looseness of the stator core or stator coil, and the corresponding fault characteristic is that the fundamental frequency vibration frequency is twice the power supply frequency, that is, 2f = 100HZ, and at the same time, harmonic components of 4f, 6f, and 8f will also appear;

[0076] The fault type is bending of the oil pump shaft or eccentricity between the rotor and the shaft, and loosening of the motor base foot screws. The corresponding fault characteristic is that the fundamental frequency vibration frequency is twice the power supply frequency, that is, 2f = 100HZ, and the vibration amplitude is positively correlated with the motor load;

[0077] The fault type is abnormal rotor winding, including broken rotor bars and poor rotor contact. The corresponding fault characteristic is that sidebands of ±2sf appear on both sides of the fundamental frequency in the frequency spectrum diagram, and the greater the sideband, the more serious the fault; when the motor load increases, the vibration increases accordingly, and it is significant when the load exceeds 50%;

[0078] The fault type is overload of the oil pump motor and blockage of the oil pipe. The corresponding fault characteristic is that the heat generation of the motor increases significantly;

[0079] S72 Set the limit values of temperature and vibration data under normal operating conditions;

[0080] S73 When the temperature and vibration data exceed the limit values, compare the values exceeding the limit with the preset fault characteristics to determine the fault type.

[0081] In the present invention, the data noise reduction module is used to eliminate the background noise of the operating environment of the water guide pump. Since the water guide pump is installed inside the turbine cover, when the unit is operating, affected by the vibration of the cover, the measured value (cover vibration value) when the pump is stationary accounts for about 50% of the measured value during its operation. Therefore, the data during the operation of the pump needs to be noise-reduced to obtain an approximate true value of the vibration of the water guide pump. Utilizing the characteristic of one water guide pump in use and one in standby operation, two intelligent temperature and vibration wireless sensors are arranged in the same direction, and the vibration data of the stationary pump is used as the background noise data, and the approximate true vibration data of the operating pump can be calculated.

[0082] Specifically, the principle of data noise reduction: The vibration of the water guide pump belongs to forced vibration in terms of vibration type, but the vibration amplitude is small. According to Fourier decomposition, it can be approximately numerically calculated as simple harmonic vibration. According to the calculation method of simple harmonic vibration, subtract the vibration data of the X, Y, and Z axes of the standby pump from the vibration data of the X, Y, and Z axes of the operating pump at each time node, and the actual vibration values of the operating pump in each coordinate axis direction can be obtained.

[0083] As another embodiment of the present invention, this embodiment provides an electronic device, including a memory and a processor. A computer program is stored in the memory. When the computer program is executed by the processor, the processor executes the steps of the method for real-time monitoring of the temperature and vibration conditions of the water guide pump based on the Internet of Things described in any one of the above embodiments.

[0084] The memory can be an electronic memory such as flash memory, EEPROM (electrically erasable programmable read-only memory), EPROM, hard disk, or ROM. The memory has a storage space for program codes for executing any method steps in the above methods. For example, the storage space for program codes can include respective program codes for implementing various steps in the above methods. These program codes can be read from or written into one or more computer program products. These computer program products include program code carriers such as hard disks, compact discs (CDs), memory cards, or floppy disks. The program codes can be compressed in an appropriate form. When these codes are run by a computing processing device, the computing processing device is caused to execute each of the steps in the method described above.

[0085] As another embodiment of the present invention, this embodiment provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed, it implements the method for real-time monitoring of the temperature and vibration conditions of the water guide pump based on the Internet of Things described in any one of the above.

[0086] Through the above examples, it can be understood that the present invention organically combines the work processes such as water guide temperature and vibration data monitoring, water guide fault alarm, and water guide fault analysis involved in the operation and operation of hydropower stations through Internet of Things-based technical means; realizes the networking, integration, and intelligence of real-time monitoring of the temperature and vibration conditions of the water guide pump, greatly improves the accuracy, convenience, and real-time performance of monitoring and fault diagnosis of the temperature and vibration conditions of the water guide pump, reduces the workload of operating personnel, and solves the problems of data isolation, low automation level, and inability to perform quantitative analysis existing in the operation and management process of existing water guide pumps.

[0087] In several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be in an electrical, mechanical, or other form.

[0088] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered by the scope of the claims of the present invention.

Claims

1. A real-time monitoring method for the temperature and vibration conditions of a water guiding pump based on the Internet of Things. The water guiding pump is installed inside the top cover of a water turbine, and is characterized in that, The method includes the following steps: S1 Take two water guide pumps with one in use and one in reserve as the monitoring objects. Install an intelligent temperature and vibration wireless sensor on each of the two water guide pumps. Arrange the two intelligent temperature and vibration wireless sensors in the same direction, respectively collect the motor temperature and vibration data of the two water guide pumps, and access the power station WIFI local area network after converting the communication protocol through an outdoor industrial base station; S2 Receive the temperature and vibration data sent to the power station WIFI local area network, obtain and record the temperature and vibration data, and display the data in a graphical interface after processing; S3 Eliminate the basic noise in the temperature and vibration data caused by the operating environment of the water guide pump; Step S3 specifically includes the following steps: S31 Collect the vibration data of the X, Y, and Z axes of the operating pump and the standby pump respectively; S32 Take the vibration data of the standby pump as the environmental background noise data, and subtract the vibration data of the operating pump on the X, Y, and Z axes from the corresponding vibration data of the standby pump on the X, Y, and Z axes, that is, calculate the approximate true vibration data of the operating pump; S4 After eliminating the basic noise, calculate the average temperature value, maximum temperature value, average vibration value, maximum vibration value, vibration frequency value, temperature and vibration change trend and rate, vibration fundamental wave and harmonic content; S5 Export and record the data waveform, establish a historical database, and realize historical traceability; S6 When the temperature and vibration data are close to the limit value, issue an alarm for manual inspection decision-making; S7 When the temperature and vibration data exceed the limit value, compare the exceeded limit value with the preset fault characteristics to determine the fault type.

2. The real-time monitoring method for the temperature and vibration conditions of a water guide pump based on the Internet of Things according to claim 1, wherein Step S7 specifically includes the following steps: S71 Preset the following fault characteristics and fault types: The fault type is unbalanced motor voltage, unbalanced air gap or magnetic circuit of the water guide pump, and the corresponding fault characteristics are that the fundamental vibration frequency is twice the power supply frequency, that is, 2f = 100HZ; the vibration amplitude is positively correlated with the motor load, and the motor heat generation increases, and the temperature measurement value rises; The fault type is loose stator core or stator coil, and the corresponding fault characteristics are that the fundamental vibration frequency is twice the power supply frequency, that is, 2f = 100HZ, and at the same time, harmonic components of 4f, 6f, and 8f will also appear; The fault type is bending of the water guide pump shaft or non-concentricity between the rotor and the shaft, loose motor base foot screws, and the corresponding fault characteristics are that the fundamental vibration frequency is twice the power supply frequency, that is, 2f = 100HZ, and the vibration amplitude is positively correlated with the motor load; The fault type is abnormal rotor winding, including broken rotor bars and poor rotor contact, and the corresponding fault characteristics are that side frequencies of ±2sf appear on both sides of the fundamental frequency in the frequency spectrum diagram, and the greater the side frequency, the more serious the fault; when the motor load increases, the vibration increases accordingly, and it is significant when the load exceeds 50%; The fault type is overload of the water guide pump motor and blocked oil pipe, and the corresponding fault characteristics are a significant increase in the motor heat generation; S72 Set the limit values of temperature and vibration data under normal working conditions; S73 When the temperature and vibration data exceed the limit value, compare the exceeded limit value with the preset fault characteristics to determine the fault type.

3. An electronic device, characterized in that, It includes a memory and a processor. A computer program is stored in the memory. When the computer program is executed by the processor, the processor is caused to execute the steps of the method for real-time monitoring of the temperature and vibration conditions of a water guide pump based on the Internet of Things as claimed in claim 1 or 2.

4. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed, it implements the method for real-time monitoring of the temperature and vibration conditions of a water guide pump based on the Internet of Things as claimed in claim 1 or 2.

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