Pumped storage power station equipment monitoring system and method

Abstract

The invention provides a pumped storage power station equipment monitoring system and method, and belongs to the field of pumped storage power station equipment monitoring, and the system comprises a bidirectional energy flow collection module, a rotating speed-torque combined collection module, a pumping working condition hydraulic parameter collection module, a data fusion processing module and a working condition recognition module. The bidirectional energy flow acquisition module synchronously acquires three-phase voltage and current signals and constructs an instantaneous power sequence. The bidirectional energy flow acquisition module is arranged to acquire three-phase voltage and three-phase current data in a synchronous sampling mode, an instantaneous power sequence is constructed through unified time service, and the flow direction of electric energy between a power grid and a unit is identified according to positive and negative values of instantaneous power. The real-time monitoring of the negative power characteristics of the pumped storage unit in the energy absorption stage is realized, and the starting, load climbing, power oscillation and stable intervals of the pumping mode can be accurately identified at a millisecond level by utilizing the real-time power curve, so that the state judgment of the pumping mode is improved from the traditional single-value monitoring to the whole-process monitoring based on the time sequence characteristics.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of pumped storage power station operation monitoring, in particular to a pumped storage power station equipment monitoring system and method. BACKGROUND

[0002] As a special power station that undertakes important roles such as peak regulation, frequency regulation, emergency backup and black start in the power system, the pumped storage power station needs to frequently switch between the "power generation mode" and the "pumping mode": in the power generation mode, it outputs electric energy to the power grid; in the pumping mode, it absorbs electric energy from the power grid to drive the water pump. Since the pumping mode belongs to the reverse energy conversion process from electric energy to water energy, its operation involves many dynamic parameters such as energy absorption current fluctuation, mechanical torque response, water pump head change, water loss and efficiency range change, which puts forward significantly higher requirements on the time resolution, parameter coverage range and data synchronization capability of the monitoring system than the conventional hydropower station. In the existing disclosed technology, the disclosed patent CN209589132U is a hydropower station whole plant monitoring system based on big data, which builds a monitoring architecture for the power generation operation of the traditional hydropower station. The system collects basic operating parameters such as current, voltage, water level and flow, and performs data analysis, comparison and alarm through the central processor and cloud database, realizing basic monitoring of the state of the conventional hydropower station. However, this monitoring architecture is based on the one-way power generation mode of the traditional hydropower station, only collects primary quantities such as current and voltage, does not build an instantaneous power model, and cannot distinguish whether the unit is outputting electric energy to the power grid or absorbing electric energy from the power grid. Therefore, it cannot reflect the negative power absorption curve and dynamic change trend of the pumped storage unit in the pumping mode, nor can it determine the start-up, transition and stable interval of the pumping mode. In addition, the static quantities such as conventional current, voltage, water level and flow are collected, and the necessary parameters such as torque, speed derivative, inlet and outlet pressure and head under pumping conditions are not collected, which cannot calculate the pumping efficiency and monitor whether the water pump working condition is abnormal, resulting in that the operation state, health degree and safety of the pumped storage unit cannot be effectively evaluated. Therefore, a pumped storage power station equipment monitoring system is proposed. SUMMARY

[0003] Therefore, the present application provides a pumped storage power station equipment monitoring system and method to solve or alleviate the technical problems in the prior art, at least providing a beneficial choice.

[0004] The technical solution of the present application is as follows: a pumped storage power station equipment monitoring system, comprising a bidirectional energy flow acquisition module, a speed-torque joint acquisition module, a pumping condition hydraulic parameter acquisition module, a data fusion processing module, a working condition identification module and a monitoring terminal. The bidirectional energy flow acquisition module is arranged at the power generation bus and the pumped power loop of the pumped storage unit, contains three-phase voltage and three-phase current acquisition channels, and synchronously acquires three-phase voltage Ua, Ub, Uc and three-phase current la, lb, lc under the control of the same sampling clock source at a sampling frequency of ≥10 kHz, calculates the instantaneous power sequence , and determines the energy flow direction of the unit according to the sign change of P(t); The three-phase voltage and three-phase current acquisition channel adopts an isolated synchronous sampling structure, performs parallel sampling under the same trigger clock, and the phase synchronization error is not more than 0.1°, and uses an analog-to-digital conversion chip with a precision of more than 16 bits.

[0005] The speed-torque joint acquisition module includes a high-resolution speed sensor and a strain torque sensor, which respectively generate a speed pulse sequence and a torque strain sequence with a unified time stamp, for reflecting the speed change rate and torque change trend of the pumped energy absorption process; The speed sensor is an optical encoder with a pulse number of ≥2048 pulses / revolution, and the pulse sequence is transmitted in a differential signal mode and processed by a digital filter circuit; The torque sensor is a torque detection structure based on a bridge strain gauge, and the output signal is processed by a temperature compensation, nonlinear strain calibration and zero automatic tracking circuit, and then input into the data fusion processing module.

[0006] The pumped working condition hydraulic parameter acquisition module includes a water pump inlet pressure measuring point, a water pump outlet pressure measuring point, a water pump inlet water level measuring point and an electromagnetic flowmeter, for constructing an instantaneous lift , and calculating the pumped efficiency combined with the instantaneous power sequence; The output accuracy of the electromagnetic flowmeter in the pumped working condition hydraulic parameter acquisition module is not less than ±0.5%FS, and the pressure measuring point adopts a double pressure difference structure composed of an inlet negative pressure measuring point and an outlet high pressure measuring point.

[0007] The data fusion processing module is connected with the above-mentioned modules respectively, realizes the time base alignment of the power, speed, torque, lift and pumped efficiency sequences through a unified time source, and constructs an operation characteristic matrix , P(t) is the power sequence, ω(t) is the speed sequence, T(t) is the torque sequence, H(t) is the lift sequence, and η(t) is the efficiency sequence; The data fusion processing module includes a time stamp calibration unit, and the time stamp calibration unit synchronizes the clocks of all acquisition modules in an IEEE1588 or GPS-PPS time source manner.

[0008] The working condition recognition module judges whether the unit is in the pumping condition according to the power sign, the torque change slope and the head stability in the operation characteristic matrix. The operation characteristic matrix is constructed by using a sliding window with a length of 100-500 ms, and the first-order, second-order and third-order difference features of the power, torque and head sequence are extracted in the window.

[0009] The monitoring terminal is used to receive the pumping condition operation characteristic matrix and display and upload. The working condition recognition module judges the pumping condition according to the following combined conditions: (1) the average value of the power sequence P(t) < 0; (2) the torque sequence dT / dt exceeds the preset pumping start threshold; (3) the head sequence stable interval fluctuation rate is less than 5%; According to the three conditions, it is confirmed that the unit enters the pumping condition.

[0010] After the working condition recognition module judges that the unit is in the pumping condition, the pumping mode special monitoring parameter model is called, and the monitoring parameter model includes the pumping efficiency threshold interval, the head sudden drop identification threshold, the negative power fluctuation limit and the speed drop critical value.

[0011] Further preferably, the monitoring terminal includes a parameter curve display interface, a trend analysis module and a communication interface, the trend analysis module is used to generate the pumping power curve, the torque change curve and the pumping efficiency trend graph, and the pumping operation data is sent to the dispatching center through the encrypted communication protocol.

[0012] A pumping storage power station equipment monitoring method, comprising the following steps: S1, the unit power, the motor speed change rate, the torque change trend and the water pump inlet pressure, outlet pressure, flow and head data in the pumping process are collected by the bidirectional energy flow acquisition module, the speed-torque joint acquisition module and the pumping condition hydraulic parameter acquisition module; S2, the data fusion processing module is connected with the bidirectional energy flow acquisition module, the speed-torque joint acquisition module and the pumping condition hydraulic parameter acquisition module respectively, the time base alignment of the power, speed, torque, head and pumping efficiency sequence is realized through a unified time source, and an operation characteristic matrix is constructed , P(t) is the power sequence, ω(t) is the speed sequence, T(t) is the torque sequence, H(t) is the head sequence, and η(t) is the efficiency sequence; S3, the working condition recognition module judges whether the unit is in the pumping condition according to the power sequence, the torque sequence and the head sequence in the operation characteristic matrix, and the pumping condition operation characteristic matrix is received by the monitoring terminal and displayed and uploaded.

[0013] The embodiment of the present application has the following advantages due to the adoption of the above technical solutions. Firstly, the present application acquires three-phase voltage and three-phase current data in a synchronous sampling manner through the setting of the bidirectional energy flow acquisition module, constructs an instantaneous power sequence through unified time assignment, and identifies the flow direction of electric energy between the power grid and the unit according to the positive and negative values of the instantaneous power, thereby realizing real-time monitoring of the negative power characteristics of the pumped storage unit in the energy absorption stage. By using the real-time power curve, the start of the pumping mode, load climbing, power oscillation and stable interval can be accurately identified in milliseconds, thereby solving the problems that the prior art cannot identify the energy direction and cannot monitor the dynamic changes of the pumping energy absorption, and enabling the state judgment of the pumping mode to be upgraded from the traditional single-value monitoring to the whole-process monitoring based on the timing characteristics.

[0014] Secondly, the present application monitors the change rate of the motor speed, the torque trend and the inlet pressure, outlet pressure, flow and lift of the water pump of the unit during the pumping process through the setting of the speed-torque joint acquisition module and the pumping working condition hydraulic parameter acquisition module, and constructs evaluation parameters such as pump efficiency and hydraulic loss in the data fusion processing module; through the joint monitoring of the above mechanical quantities and water quantities, it can be judged in real time whether the water pump is in the normal pumping interval, whether the efficiency deviates from the optimum working point, and whether the lift abnormally decreases, so that the operation performance, safety and stability of the pumped storage unit are supported.

[0015] The above summary is only for the purpose of the description and is not intended to limit in any way. In addition to the illustrative aspects, embodiments and features described above, further aspects, embodiments and features will be readily apparent to those skilled in the art by reference to the drawings and the following detailed description. BRIEF DESCRIPTION OF DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without any creative effort on the basis of these drawings.

[0017] Figure 1 The system module architecture of the present application. DETAILED DESCRIPTION

[0018] In the following, only some exemplary embodiments are simply described. As those skilled in the art can recognize, the described embodiments can be modified in various different ways without departing from the spirit or scope of the present application. Therefore, the drawings and the description are considered to be exemplary in nature rather than limiting.

[0019] The embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0020] like Figure 1 As shown, the pumped storage power station equipment monitoring system provided in this embodiment of the invention includes a bidirectional energy flow acquisition module installed on the generator bus side and the pumping power circuit side, a speed-torque joint acquisition module installed on the generator shaft system, a pumping operation hydraulic parameter acquisition module installed on the pumping pump flow channel and hydraulic components, a data fusion processing module for realizing the fusion processing of multi-source sampling data, and an operation condition identification module for determining the operation condition based on the fusion feature matrix. The system also includes a monitoring terminal that is interconnected with the unit monitoring system. The entire monitoring system constructs a consistent time reference through a unified time synchronization mechanism to achieve time alignment between different acquisition modules, thereby completely reconstructing the transient operating state changes during the pumping and energy absorption phase. In this embodiment, a bidirectional energy flow acquisition module is used to synchronously sample the three-phase voltages Ua, Ub, and Uc and the three-phase currents Ia, Ib, and Ic at a sampling frequency of ≥10kHz. This invention uses an isolated synchronous sampling structure to ensure that there is no phase shift between voltage and current acquisition, so that the three voltage channels and the three current channels are all triggered by the same sampling clock source, and the sampling phase error is controlled within 0.1°. The sampled data is converted into digital signals by a 16-bit or higher precision analog-to-digital converter to ensure the resolution and phase accuracy of instantaneous power calculation. The bidirectional energy flow acquisition is about the construction of the instantaneous power sequence. The power direction can be directly determined using the formula; Where P(t)>0 indicates that the unit is outputting electrical energy to the grid and is in power generation mode; P(t) < 0 indicates that the unit is absorbing electrical energy from the grid and is in pumping mode; By continuously monitoring the instantaneous power sequence, this invention can capture the rapid changes in stages such as pumping mode entry, pumping load increase, pumping load oscillation, and pumping cut-off in real time.

[0021] For example, at a certain sampling moment, if the three-phase voltages are respectively The three-phase currents are respectively The instantaneous power is approximately That is, approximately 1.89 MW; in this invention, when P(t) calculated above is positive, it indicates that the unit is outputting electrical energy to the grid and is in power generation mode; when P(t) is negative, it indicates that the unit is absorbing electrical energy from the grid and is in pumping energy absorption mode. Through continuous monitoring of the instantaneous power sequence, the system can capture in real time the rapid changes in stages such as entering pumping mode, pumping load increase, pumping load oscillation, and pumping cut-off.

[0022] Secondly, the system monitors the dynamic characteristics of the unit's mechanical operation side, including the rate of change of speed and the trend of torque change. This invention uses a photoelectric encoder with a pulse count of ≥2048 pulses / revolution as a speed sensor. The encoder generates a high-resolution angular displacement sequence through high-density pulse output and eliminates jitter noise through a digital filtering circuit, thereby reconstructing the transient speed change curve of the unit at a sampling frequency of not less than 5kHz. In scenarios such as unit pumping start-up, pumping speed increase, and pumping load changes, the transient rate of change of speed sequence can reflect the mechanical response of the motor during energy absorption. Especially under heavy load energy absorption, the speed change shows a significant downward trend. The speed and torque acquisition described in this invention use a unified timestamp marker to align with the power sequence within milliseconds, thereby forming a unified operating feature matrix data source.

[0023] The torque signal is acquired using a strain gauge torque sensor, which forms a torque measurement unit through a bridge strain circuit. In this embodiment, a temperature compensation circuit, a nonlinear correction circuit, and an automatic zero-point tracking mechanism are set on the sensor output side. The temperature compensation circuit corrects the strain bridge output based on the output of the additional temperature sensor. The nonlinear correction circuit performs piecewise linearization based on the torque-strain curve obtained during calibration. The zero-point automatic tracking mechanism automatically updates the zero-point offset value when the unit is stopped or under light load and stable conditions, so that the sensor keeps the torque measurement error within 1% of the full scale in the 0 to 100% load range.

[0024] For example, during calibration, the full-scale torque can be set to 100 kN·m. The output error at different torque stages can be verified by applying a load. After the temperature compensation and linearization circuits are implemented, its... The errors at typical points are all controlled within 1 kN·m, i.e., less than 1%. The torque change rate dT / dt is an important parameter for identifying whether the unit is in the pumping start-up stage. During the pumping mode entry stage, the motor torque will rapidly rise from a near-zero state to a certain stable value in a short period of time. dT / dt can be obtained by performing a first-order difference on the torque sequence. When dT / dt is continuously greater than the preset threshold, it can be determined that the unit is in the pumping start-up stage.

[0025] Furthermore, to obtain hydraulic performance information of the water pump under pumping conditions, the hydraulic parameter acquisition module for pumping conditions provided by this invention includes a water pump inlet pressure measuring point, a water pump outlet pressure measuring point, an electromagnetic flowmeter, and a water pump inlet water level measuring point. The inlet pressure measuring point is generally located in a negative pressure region, while the outlet pressure measuring point is located in a high pressure region, forming a dual pressure difference structure. This helps to reduce transient pressure distortion caused by water hammer oscillation. In actual pumping, the pump head is determined by the pressure difference. Calculate the instantaneous head; Where ρ is the density of water and g is the acceleration due to gravity; For example, under a certain operating condition, if the pump outlet pressure Import pressure Then the pressure difference is 1.0 MPa, that is Water density gravitational acceleration The head is approximately The pump head can be approximated as 102m. The electromagnetic flowmeter outputs a high-precision flow rate value Q at a sampling frequency of not less than 1kHz. In engineering applications, the flowmeter's range and accuracy are configured according to the unit capacity; for example, a range of... Accuracy is At that time, The flow measurement error under operating conditions shall not exceed ± ; After obtaining the head H and flow rate Q, the instantaneous pumping efficiency η can be further calculated. This invention uses the following formula for estimation: Where P(t) is the aforementioned instantaneous electrical power, when the ratio of instantaneous hydraulic input power ρgQH to electrical power P(t) is between 0 and 1, it can reflect the energy conversion efficiency of the current pumping operation. For example, under a typical pumping condition, if the flow rate... Head H≈100m, water density Instantaneous power Then the hydraulic power is The pumping efficiency is Through this calculation process, maintenance personnel can intuitively understand the meaning of the physical quantities corresponding to the efficiency calculation and their numerical range. In actual operation, the reasonable operating range of η can be set to, for example, 75% to 90%. When the efficiency is lower than the lower limit of this range for a long time, it can indicate that there may be abnormal hydraulic loss or the operating condition deviates from the optimal point. After completing the comprehensive acquisition of energy flow, mechanical quantities, and hydraulic parameters, this invention uses a data fusion processing module to perform unified time alignment, window filtering, and feature extraction on the aforementioned multi-source data. The data fusion processing module uses a timestamp calibration unit to synchronize the clocks of all acquisition modules with IEEE1588 or GPS-PPS time synchronization, ensuring that the time alignment error between different modules does not exceed 0.1ms. This guarantees that the calculations of power, speed, torque, head, and flow rate originate from the real physical state at the same time or within the same sampling window. Based on this, the data fusion processing module uses a sliding window with a length of 100–500ms to segment each sequence. Within each window, first-order difference operations dP / dt, dω / dt, dT / dt, and dH / dt are performed on the power sequence P(t), speed sequence ω(t), torque sequence T(t), head sequence H(t), and efficiency sequence η(t). Second-order and third-order differences can be calculated as needed to describe the changing trends, oscillation frequencies, and abrupt change characteristics of the operating indicators.

[0026] After completing the construction of the operating feature matrix, the operating condition identification module determines the pumping status based on three main parameters in the feature matrix: power sign, torque change rate, and head stability. The operating condition identification module first averages the power sequence P(t) within the current sliding window. When the average power P̄(t) < 0, it determines that the unit is in the direction of energy absorption. Then, it calculates the first-order difference of torque dT / dt. When dT / dt is continuously greater than the preset threshold Tth (e.g., 5% / 100ms of full scale) for several sampling periods within the window, it determines that the motor is transferring energy to the water pump. Furthermore, by statistically analyzing the variance or relative volatility of the pumping sequence within the current window, when the volatility is less than 5%, it is determined that the pump operating point has entered a stable range. Only when the above three criteria are met simultaneously can the operating condition identification module confirm that the unit is in a stable pumping condition, so as to avoid misjudgment during load fluctuations in power generation mode or short-term operating condition switching.

[0027] After confirming that the unit is in pumping operation, the operation condition identification module will call the pumping-specific monitoring parameter model to conduct targeted analysis on pumping efficiency, head changes and negative power fluctuations. For example, the reasonable range of pumping efficiency can be set to 75% to 90%. When η is lower than 75% for several consecutive windows, the system will mark the event as "low efficiency pumping", indicating that there may be problems such as impeller scaling, flow channel blockage or mismatch of water pump selection. For head drop detection, the mean value Havg and standard deviation σH of head H can be statistically analyzed based on historical normal operation data. If H drops by more than 2σH in a short period of time and the flow rate Q does not drop significantly, it is determined that there is a risk of "abnormal head drop", which may be related to pipeline leakage or valve abnormality. For negative power fluctuations, the standard deviation of P(t) can be statistically analyzed. When it exceeds the set limit, it is recorded as "excessive pumping power fluctuation", indicating that there may be grid voltage fluctuations or excitation control abnormalities. Through the aforementioned threshold model and statistical criteria, this invention further enables the assessment and early warning of the health status of the pumping conditions, based on the identification of pumping conditions.

[0028] The monitoring terminal is used to display trend graphs such as pumping power curve, torque change curve, and pumping efficiency change curve. It also uploads the complete pumping operation status to the dispatch center through an encrypted communication protocol. The terminal display interface supports multi-parameter overlay, multi-time scale switching, and historical curve backtracking, enabling operation and maintenance personnel to analyze the stability and economy of the pumping mode based on trend changes.

[0029] In summary, this invention, through the collaborative work of a bidirectional energy flow acquisition module, a speed-torque joint acquisition module, and a pumping operation hydraulic parameter acquisition module, simultaneously acquires key operational information from the electrical, mechanical, and hydraulic sides during the pumping and energy absorption process of a pumped storage unit. A multi-dimensional operational feature matrix is ​​constructed using unified time synchronization and sliding window feature extraction. The operational condition is then determined by the operational condition identification module based on power sign, torque change rate, and head stability. Finally, a comprehensive assessment of the pumping operation status and health is achieved by combining this with a dedicated pumping monitoring parameter model.

[0030] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various variations or substitutions within the technical scope disclosed in the present invention, and these should all be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A pumped hydroelectric plant equipment monitoring system, characterized by: The monitoring terminal comprises a bidirectional energy flow acquisition module, a rotating speed-torque joint acquisition module, a water pumping working condition hydraulic parameter acquisition module, a data fusion processing module, a working condition identification module and a monitoring terminal. The rotating speed-torque joint acquisition module comprises a high-resolution rotating speed sensor and a strain torque sensor, and generates a rotating speed pulse sequence and a torque strain sequence with a unified time stamp respectively, for reflecting the rotating speed change rate and torque change trend of the water pumping energy absorption process. The water pumping working condition hydraulic parameter acquisition module comprises a water pump inlet pressure measuring point, a water pump outlet pressure measuring point, a water pump inlet water level measuring point and an electromagnetic flowmeter, for constructing an instantaneous lift H=(Pout-Pin) / pg, and calculating a water pumping efficiency η=ρgQH / P(t) in combination with the instantaneous power sequence. The data fusion processing module is connected with the bidirectional energy flow acquisition module, the rotating speed-torque joint acquisition module and the water pumping working condition hydraulic parameter acquisition module respectively, realizes time base alignment of the power, rotating speed, torque, lift and water pumping efficiency sequences through a unified time source, and constructs an operation characteristic matrix M=[P(t), ω(t), T(t), H(t), η(t)], wherein P(t) is the power sequence, ω(t) is the rotating speed sequence, T(t) is the torque sequence, H(t) is the lift sequence, and η(t) is the efficiency sequence. The working condition identification module judges whether the unit is in the water pumping working condition according to the power sequence, torque sequence and lift sequence in the operation characteristic matrix. The monitoring terminal is used for receiving the water pumping working condition operation characteristic matrix and displaying and uploading.

2. A pumped storage power plant equipment monitoring system according to claim 1, characterized in that: The bidirectional energy flow acquisition module is arranged at a power generation bus and a water pumping power supply loop of the pumped storage unit, comprises three-phase voltage and three-phase current acquisition channels, and synchronously acquires three-phase voltages Ua, Ub, Uc and three-phase currents Ia, Ib, Ic under the control of the same sampling clock source at a sampling frequency of ≥10 kHz, calculates an instantaneous power sequence P(t)=Ua(t)Ia(t)+Ub(t)Ib(t)+Uc(t)Ic(t), and determines the energy flow direction of the unit according to the sign change of P(t). The three-phase voltage and three-phase current acquisition channels adopt an isolated synchronous sampling structure and are sampled in parallel under the same trigger clock.

3. A pumped storage power plant equipment monitoring system according to claim 1, characterized in that: The rotating speed sensor is an optical encoder with a pulse number of ≥2048 pulses / revolution, and the pulse sequence is transmitted in a differential signal mode and processed by a digital filter circuit.

4. A pumped storage power plant equipment monitoring system according to claim 1, characterized in that: The torque sensor is a torque detection structure based on a bridge-type strain gauge, and the output signal is processed by a temperature compensation, nonlinear strain calibration and zero point automatic tracking circuit and then input into the data fusion processing module.

5. A pumped storage power plant equipment monitoring system according to claim 1, characterized in that: The output accuracy of the electromagnetic flowmeter in the water pumping working condition hydraulic parameter acquisition module is not less than ±0.5%FS, and the pressure measuring points adopt a double pressure difference structure composed of an inlet negative pressure measuring point and an outlet high pressure measuring point.

6. A pumped storage power plant equipment monitoring system according to claim 1, characterized in that: The data fusion processing module comprises a time stamp calibration unit, which synchronizes the clocks of the bidirectional energy flow acquisition module, the rotating speed-torque joint acquisition module and the water pumping working condition hydraulic parameter acquisition module in an IEEE1588 or GPS-PPS time source mode.

7. A pumped storage power plant equipment monitoring system according to claim 1, characterized in that: The operation feature matrix is constructed by using a sliding window with a length of 100-500 ms, and first-order, second-order and third-order difference features of the power, torque and head sequence are extracted in the window.

8. The pumped storage power station equipment monitoring system according to claim 1, characterized in that: The working condition recognition module judges the pumping working condition according to the following combination conditions: (1) the average value of the power sequence P(t) < 0; (2) the torque change rate dT / dt exceeds the preset pumping start threshold; (3) the fluctuation rate of the head stable interval is less than 5%; The unit is determined to enter the pumping working condition when the three conditions are met simultaneously.

9. A pumped storage power plant equipment monitoring system according to claim 1, characterized in that: After judging that the unit is in the pumping working condition, the working condition recognition module calls a pumping mode special monitoring parameter model, the monitoring parameter model includes a pumping efficiency threshold interval, a head sudden drop identification threshold, a negative power fluctuation limit value and a rotating speed drop critical value; the monitoring terminal includes a parameter curve display interface, a trend analysis module and a communication interface, the trend analysis module is used to generate a pumping power curve, a torque change curve and a pumping efficiency trend graph, and sends the pumping operation data to the dispatching center through an encrypted communication protocol.

10. A pumped storage power plant equipment monitoring method characterized by, The method comprises the following steps: S1, collecting the unit power, motor rotating speed change rate, torque change trend, and water pump inlet pressure, outlet pressure, flow and head data during the pumping process through the bidirectional energy flow acquisition module, rotating speed-torque joint acquisition module and pumping working condition hydraulic parameter acquisition module; S2, connecting the data fusion processing module with the bidirectional energy flow acquisition module, rotating speed-torque joint acquisition module and pumping working condition hydraulic parameter acquisition module respectively, aligning the time bases of the power, rotating speed, torque, head and pumping efficiency sequence through a unified time source, and constructing an operation feature matrix M=[P(t), ω(t), T(t), H(t), η(t)], P(t) is the power sequence, ω(t) is the rotating speed sequence, T(t) is the torque sequence, H(t) is the head sequence, and η(t) is the efficiency sequence; S3, the working condition recognition module judges whether the unit is in the pumping working condition according to the power sequence, torque sequence and head sequence in the operation feature matrix, and receives the pumping working condition operation feature matrix through the monitoring terminal and displays and uploads it.

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