A circulating water pump operation system based on a big data evaluation model

Abstract

The application discloses a circulating water pump operation method based on a big data evaluation model, which comprises a detection unit, a model establishment unit and a training unit.The detection unit is used for detecting the load data of a circulating water pump and a condenser and the water consumption in real time.The model establishment unit is used for establishing a balance relationship based on different t time values according to the detected load data and water consumption.The training unit is used for storing the load value and water consumption of each t time value into a database based on the balance relationship of the model establishment unit, training a network, making the network learn the internal law of time series, and predicting the load value and water consumption of the circulating water pump and the condenser at t time through the law.The control unit is used for controlling the load of the circulating water pump and the condenser according to the predicted load value at the next time.The application establishes a big data evaluation model of the circulating water amount and the economic working condition of the condenser under the reasonable parallel operation of the circulating pump, finds the most economic circulating pump operation mode suitable for each working condition of the steam turbine by using the model, and realizes fine adjustment of the circulating pump operation mode.

Description

Technical Field

[0001] This invention relates to the field of circuit optimization scheduling, and more specifically to a circulating water pump operation system based on a big data evaluation model. Background Technology

[0002] In power plants, circulating water pumps, along with feedwater pumps and condensate pumps, are collectively known as the three major pumps. The function of circulating water pumps is to supply cooling water to the turbine condenser to condense the turbine exhaust steam. In power plants, circulating water pumps also supply cooling water to oil coolers, water coolers, and generator air coolers.

[0003] During operation, the circulating water pump is kept at maximum load to prevent the turbine from overheating and causing danger. However, under normal circumstances, the circulating water pump does not need to operate at high load. During periods of low workload, simply controlling the load of the circulating water pump results in energy waste.

[0004] Therefore, how to establish a reasonable big data evaluation model for circulating water pumps under economically beneficial conditions, and how to establish a suitable operating mode for circulating water pumps based on the evaluation model, has become an urgent problem to be solved in this field. Summary of the Invention

[0005] In view of this, the present invention establishes a big data evaluation model for the circulating water volume and the economic operating conditions of the condenser under the parallel operation of circulating pumps. Using this model, the most economical circulating pump operation mode suitable for various turbine operating conditions is found, and the circulating pump operation mode can be finely adjusted.

[0006] To achieve the above objectives, the present invention provides the following technical solution:

[0007] A circulating water pump operation system based on a big data evaluation model, characterized in that it includes a circulating water pump, a condenser, and a cooling tower water storage tank:

[0008] The detection unit is connected to the drive device of the circulating water pump, the load of the condenser, and the electrical signal of the cooling tower water storage tank. It is used to detect the load data of the circulating water pump and the condenser in real time and to detect the water consumption in real time.

[0009] The model building unit is signal-connected to the detection unit and establishes a balance relationship based on the detected load data and water consumption at different time t values.

[0010] The training unit establishes the balance relationship of the unit based on the model, stores the load value and water consumption at each time t in the database, substitutes them into the formula, trains the network to learn the inherent pattern of the time series, and predicts the load value and water consumption of the circulating water pump and the condenser at time t through the pattern.

[0011] The control unit is signal-connected to the training unit and electrical-connected to the circulating water pump and the condenser, and controls the load of the circulating water pump and the condenser according to the predicted load value at the next time step t.

[0012] Preferably, in the above-mentioned circulating water pump operation system based on a big data evaluation model, the detection unit includes:

[0013] A power sensor is connected to the drive device of the circulating water pump via electrical signal and is used to detect the working load of the circulating water pump in real time.

[0014] Power sensor 2 is connected to the electrical signal of the condenser load condensate quantity and is used to detect the working load of the condenser in real time.

[0015] A water flow sensor is installed at the outlet of the cooling tower's water storage tank to monitor the water consumption F in real time.

[0016] Preferably, in the above-mentioned circulating water pump operation system based on a big data evaluation model, the balance relationship established by the model building unit includes:

[0017] P1(t) t+P2(t) t = {P1(t) + P2(t)} t (t=1,2,3...24)

[0018] P1(t) t = W1(t);

[0019] In the formula, t is the time value, and the time interval is 1 hour; P1 is the load used by the circulating water pump at time t, P2 is the load of the condenser at time t; W1 is the work done by the pump to draw water F at time t, W1=F h, where h is the fixed pump head of the water in the cooling tower's water storage tank.

[0020] Preferably, in the above-mentioned circulating water pump operation system based on a big data evaluation model, the training steps of the training unit include:

[0021] Step 1: Use historical data on the load of the circulating water pumps, the load of the condenser, and the water consumption within the plant as a training dataset, with a time interval of 1 hour between data points; store the training dataset in the database.

[0022] Step 2: Substitute the circulating water pump load, condenser load, and water consumption at each time point in the training dataset into the formula, and store the resulting formula in the value database.

[0023] Step 3: Take the average value of the circulating water pump load, condenser load and water consumption at the same time each day in the database; use the formula after averaging the values ​​at each time as the application dataset, and store the application dataset in the database.

[0024] Preferably, in the above-mentioned circulating water pump operation system based on a big data evaluation model, the control process of the control unit includes:

[0025] At t=1, the circulating water pump load, condenser load, and water consumption are derived from the formula at t=1 in the application dataset, and the load of the driving device of the circulating water pump is controlled to reach the circulating water pump load at t=1, and the load of the condenser is controlled to reach the condenser load at t=1; and the circulating water pump load, condenser load, and water consumption at t+1 in the application dataset are derived in advance. When t=2, the load of the driving device of the circulating water pump and the load of the condenser are controlled to be equal to the circulating water pump load and condenser load at t+1 in the application dataset;

[0026] Let t = t + 1, and repeat the above steps until t = 24.

[0027] Preferably, in the above-mentioned circulating water pump operation system based on a big data evaluation model, the control process further includes: inputting the circulating water pump load, the condenser load, and water consumption at t=1,2,3...24 into the application data storage set, recalculating the average value of each parameter to form a new application dataset, and replacing the original application dataset with the new application dataset.

[0028] Preferably, the circulating water pump operation system based on the big data evaluation model described above also includes an alarm unit:

[0029] The alarm unit is connected to the detection unit and the database signal. When the real-time detected circulating water pump load, condenser load and water consumption are different from the circulating water pump load, condenser load and water consumption in the application dataset in the database, the alarm unit sends an alarm command to the terminal, indicating that the control unit is faulty; the terminal is controlled by the staff.

[0030] Preferably, in the above-mentioned circulating water pump operation system based on a big data evaluation model, the alarm command includes:

[0031] Compare the load of the circulating water pump detected in real time with the load of the circulating water pump in the application dataset to obtain the water pump load error A; preset the water pump load error matrix A0 (A1, A2, A3), where A1 is the first preset error, A2 is the second preset error, A3 is the third preset error, and A1 < A2 < A3; generate an alarm instruction E (E1, E2, E3, E4) according to the water pump load error A; when A < A1, the alarm unit sends a first-level instruction E1 to the terminal; when A1 < A < A2, the alarm unit sends a second-level instruction E2 to the terminal; when A2 < A < A3, the alarm unit sends a third-level instruction E3 to the terminal; when A > A3, the alarm unit sends a fourth-level instruction E4 to the terminal;

[0032] Compare the load of the condenser detected in real time with the load of the condenser in the application dataset to obtain the condenser load error B; preset the condenser load error matrix B0 (B1, B2, B3), where B1 is the first preset error, B2 is the second preset error, B3 is the third preset error, and B1 < B2 < B3; generate an alarm instruction F (F1, F2, F3, F4) according to the condenser load error B; when B < B1, the alarm unit sends a first-level instruction F1 to the terminal; when B1 < B < B2, the alarm unit sends a second-level instruction F2 to the terminal; when B2 < B < B3, the alarm unit sends a third-level instruction F3 to the terminal; when B > B3, the alarm unit sends a fourth-level instruction F4 to the terminal;

[0033] Compare the water consumption detected in real time with the water consumption rate in the application dataset to obtain the water consumption error C; preset the water consumption error matrix C0 (C1, C2, C3), where C1 is the first preset error, C2 is the second preset error, C3 is the third preset error, and C1 < C2 < C3; generate an alarm instruction G (G1, G2, G3, G4) according to the water consumption load error C; when C < C1, the alarm unit sends a first-level instruction G1 to the terminal; when C1 < C < C2, the alarm unit sends a second-level instruction G2 to the terminal; when C2 < C < C3, the alarm unit sends a third-level instruction G3 to the terminal; when C > C3, the alarm unit sends a fourth-level instruction G4 to the terminal.

[0034] The technical effect of the present invention is that a reasonable big data evaluation model for the circulating water volume and the economic working condition of the condenser under the parallel operation of the circulating water pumps is established, and the most economical operation mode of the circulating water pumps suitable for various working conditions of the steam turbine is found by using this model, realizing the refined adjustment of the operation mode of the circulating water pumps.

[0035] The beneficial effect of the present invention is:

[0036] 1. This invention can store the daily and hourly working load and water consumption of the circulating water pump and condenser, making it convenient to display the working status at different times;

[0037] 2. This invention can control the daily and hourly workload of the circulating water pump and condenser, thereby reducing energy consumption;

[0038] 3. This invention can predict the working load of the circulating water pump and condenser at time t, which facilitates the adjustment of the circulating water pump. Attached Figure Description

[0039] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0040] Figure 1 The attached figure is a schematic diagram of the overall structure of the present invention. Detailed Implementation

[0041] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0042] In this invention, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance; the term "multiple" refers to two or more unless otherwise explicitly defined. The terms "install," "connect," "link," and "fix" should be interpreted broadly. For example, "connect" can be a fixed connection, a detachable connection, or an integral connection; "link" can be a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0043] In the description of this invention, it should be understood that the terms "upper," "lower," "left," "right," "front," "rear," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or unit referred to must have a specific orientation or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0044] In the description of this specification, the terms "one embodiment," "some embodiments," "specific embodiment," etc., refer to a specific feature, structure, material, or characteristic described in connection with that embodiment or example, which is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0045] This invention discloses a circulating water pump operation system based on a big data evaluation model, specifically including:

[0046] In one embodiment, please refer to the appendix. Figure 1 A circulating water pump operation system based on a big data evaluation model includes a circulating water pump, a condenser, and a cooling tower water storage tank.

[0047] The detection unit is connected to the drive unit of the circulating water pump, the load of the condenser, and the electrical signal of the cooling tower water storage tank. It is used to detect the load data of the circulating water pump and the condenser in real time, and to detect the water consumption in real time.

[0048] The model building unit is connected to the detection unit by signal. Based on the detected load data and water consumption at different time t values, it establishes a balance relationship.

[0049] The training unit establishes the balance relationship of the units based on the model, stores the load value and water consumption at each time t in the database, substitutes them into the formula, trains the network so that it learns the inherent laws of the time series, and predicts the load value and water consumption of the circulating water pump and condenser at time t through the laws.

[0050] The control unit is connected to the training unit via signal and to the circulating water pump and condenser via electrical signal. It controls the load of the circulating water pump and condenser based on the predicted load value at the next time step from time t.

[0051] The detection unit includes:

[0052] Power sensor 1 is electrically connected to the drive unit of the circulating water pump and is used to detect the working load of the circulating water pump in real time.

[0053] Power sensor 2 is connected to the electrical signal of the condenser load condensate quantity and is used to detect the working load of the condenser in real time.

[0054] A water flow sensor is installed at the outlet of the cooling tower's water storage tank to monitor water consumption F in real time.

[0055] The equilibrium relationships established by the model building units include:

[0056] P1(t) t+P2(t) t = {P1(t) + P2(t)} t (t=1,2,3...24)

[0057] P1(t) t = W1(t);

[0058] In the formula, t is the time value, and the time interval is 1 hour; P1 is the load used by the circulating water pump at time t, P2 is the load of the condenser at time t; W1 is the work done by the pump to draw water F at time t, W1=F h, where h is the fixed pump head of the water in the cooling tower's water storage tank.

[0059] Among them, power sensors and water flow sensors are existing technologies. A power sensor is an instrument that can convert the measured active and reactive loads into DC outputs. The converted DC current or voltage is a linear proportional output and can reflect the transmission direction of the measured load in the line. They are suitable for various single-phase and three-phase lines. With appropriate indicating instruments or devices, they can be widely used in power plants, power transmission and transformation systems, and other places with high load measurement requirements. Power sensors, also known as load cell probes, convert high-frequency electrical signals into directly detectable electrical signals. Power sensors use dedicated load transformation circuits to convert AC load signals into standard DC current and voltage signals with a linear relationship. After active filtering and linear amplification, they output constant current or constant voltage analog quantities, giving the transmitter high accuracy and stable operation. The output is a constant current or constant signal. At the same time, the load signal can also be output as pulses. Only by counting the pulses can the electricity value be obtained. Therefore, the KCE-P / Q transmitter also has the characteristics of being easy to use and cost-effective. This sensor is used to measure and transform single-phase and three-phase active or reactive loads of various characteristic loads.

[0060] The beneficial effects of the above embodiments are: the balance relationship of the evaluation model is set, which makes it convenient to store the parameters and calculate the water consumption through the balance relationship; and the operating parameters of the circulating water pump are determined.

[0061] In one embodiment, please refer to the appendix. Figure 1A circulating water pump operation system based on a big data evaluation model, the training steps of the training unit include:

[0062] Step 1: Use historical data on plant circulating water pump load, condenser load, and water consumption as the training dataset, with a time interval of 1 hour between data points; store the training dataset in the database.

[0063] Step 2: Substitute the circulating water pump load, condenser load, and water consumption at each time point in the training dataset into the formula, and store the resulting formula in the value database.

[0064] Step 3: Take the average value of the circulating water pump load, condenser load and water consumption at the same time each day in the database; use the formula after averaging the values ​​at each time as the application dataset, and store the application dataset in the database;

[0065] The control process of the control unit includes:

[0066] At t=1, the circulating water pump load, condenser load, and water consumption are derived from the formula at t=1 in the application dataset. The load of the circulating water pump drive device is controlled to reach the circulating water pump load at t=1, and the load of the condenser is controlled to reach the condenser load at t=1. The circulating water pump load, condenser load, and water consumption at t+1 in the application dataset are derived in advance. When t=2, the load of the circulating water pump drive device and the load of the condenser are controlled to be equal to the circulating water pump load and condenser load at t+1 in the application dataset.

[0067] Let t = t + 1, and repeat the above steps until t = 24;

[0068] The control process also includes: inputting the circulating water pump load, condenser load and water consumption at t=1,2,3...24 into the application data storage set, recalculating the average value of each parameter to form a new application dataset, and replacing the original application dataset with the new application dataset.

[0069] The beneficial effects of the above embodiments are: they can determine the parameter values ​​for each time period in 24 hours, which facilitates prediction and control; they can add the newly collected data each day to the original data using an averaging algorithm to obtain new data, which helps to narrow the data range and make it more consistent with reality.

[0070] In one embodiment, please refer to the appendix. Figure 1 A circulating water pump operation system based on a big data evaluation model also includes an alarm unit:

[0071] The alarm unit is signal-connected to the detection unit and the database. When there are errors between the real-time detected circulating water pump load, condenser load, and water consumption and the circulating water pump load, condenser load, and water consumption in the application dataset in the database, the alarm unit sends an alarm instruction to the terminal, indicating that there is a fault in the control unit; the terminal is carried by the staff;

[0072] The alarm instruction includes: comparing the real-time detected circulating water pump load with the circulating water pump load in the application dataset to obtain the water pump load error A; presetting the water pump load error matrix A0 (A1, A2, A3), where A1 is the first preset error, A2 is the second preset error, A3 is the third preset error, and A1 < A2 < A3; generating an alarm instruction E (E1, E2, E3, E4) based on the water pump load error A; when A < A1, the alarm unit sends a first-level instruction E1 to the terminal; when A1 < A < A2, the alarm unit sends a second-level instruction E2 to the terminal; when A2 < A < A3, the alarm unit sends a third-level instruction E3 to the terminal; when A > A3, the alarm unit sends a fourth-level instruction E4 to the terminal;

[0073] Comparing the real-time detected condenser load with the condenser load in the application dataset to obtain the condenser load error B; presetting the condenser load error matrix B0 (B1, B2, B3), where B1 is the first preset error, B2 is the second preset error, B3 is the third preset error, and B1 < B2 < B3; generating an alarm instruction F (F1, F2, F3, F4) based on the condenser load error B; when B < B1, the alarm unit sends a first-level instruction F1 to the terminal; when B1 < B < B2, the alarm unit sends a second-level instruction F2 to the terminal; when B2 < B < B3, the alarm unit sends a third-level instruction F3 to the terminal; when B > B3, the alarm unit sends a fourth-level instruction F4 to the terminal;

[0074] Comparing the real-time detected water consumption with the water consumption rate in the application dataset to obtain the water consumption error C; presetting the water consumption error matrix C0 (C1, C2, C3), where C1 is the first preset error, C2 is the second preset error, C3 is the third preset error, and C1 < C2 < C3; generating an alarm instruction G (G1, G2, G3, G4) based on the water consumption load error C; when C < C1, the alarm unit sends a first-level instruction G1 to the terminal; when C1 < C < C2, the alarm unit sends a second-level instruction G2 to the terminal; when C2 < C < C3, the alarm unit sends a third-level instruction G3 to the terminal; when C > C3, the alarm unit sends a fourth-level instruction G4 to the terminal.

[0075] The beneficial effects of the above embodiments are: they can monitor faults that occur during operation and send alarm instructions to staff based on the faults, so that staff can know which link has a problem; and different levels of work instructions can remind staff of the degree of fault, thereby ensuring the safety of staff and playing a maintenance role in the operation of the circulating water pump.

[0076] It should be noted that the system provided in the above embodiments is only illustrated by the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the modules or steps in the embodiments of the present invention can be further decomposed or combined. For example, the modules in the above embodiments can be merged into one module, or further divided into multiple sub-modules to complete all or part of the functions described above. The names of the modules and steps involved in the embodiments of the present invention are only for distinguishing the various modules or steps and are not considered as an improper limitation of the present invention.

[0077] The term "comprising" or any other similar term is intended to cover non-exclusive inclusion, such that a process, system, article, or device / apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to those processes, systems, articles, or devices / apparatus.

[0078] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

[0079] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims and their equivalents, this invention is also intended to include these modifications and variations in the above description of the disclosed embodiments, enabling those skilled in the art to implement or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, this invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A circulating water pump operation system based on a big data evaluation model, characterized in that, Including circulating water pumps, condensers, and cooling tower water storage tanks: The detection unit is connected to the drive device of the circulating water pump, the load of the condenser, and the electrical signal of the cooling tower water storage tank. It is used to detect the load data of the circulating water pump and the condenser in real time and to detect the water consumption in real time. The model building unit is signal-connected to the detection unit and establishes a balance relationship based on the detected load data and water consumption at different time t values. The training unit establishes the balance relationship of the unit based on the model, stores the load value and water consumption at each time t in the database, substitutes them into the formula, trains the network to learn the inherent pattern of the time series, and predicts the load value and water consumption of the circulating water pump and the condenser at time t through the pattern. The control unit is signal-connected to the training unit and electrical-connected to the circulating water pump and the condenser, and controls the load of the circulating water pump and the condenser according to the predicted load value at the next time step t.

2. The circulating water pump operation system based on a big data evaluation model according to claim 1, characterized in that, The detection unit includes: A power sensor is connected to the drive device of the circulating water pump via electrical signal and is used to detect the working load of the circulating water pump in real time. Power sensor 2 is connected to the electrical signal of the condenser load condensate quantity and is used to detect the working load of the condenser in real time. A water flow sensor is installed at the outlet of the cooling tower's water storage tank to monitor the water consumption F in real time.

3. The circulating water pump operation system based on a big data evaluation model according to claim 1, characterized in that, The balance relationships established by the model building unit include: P1(t) t+P2(t) t={P1(t)+P2(t)} t(t=1,2,3...24) P1(t) t=W1(t); In the formula, t is the time value, and the time interval is 1 hour; P1 is the load used by the circulating water pump at time t, P2 is the load of the condenser at time t; W1 is the work done by the pump to draw water F at time t, W1=F h, where h is the fixed pump head of the water in the cooling tower's water storage tank.

4. The circulating water pump operation system based on a big data evaluation model according to claim 3, characterized in that, The training steps of the training unit include: Step 1: Use historical data on the load of the circulating water pumps, the load of the condenser, and the water consumption within the plant as a training dataset, with a time interval of 1 hour between data points; store the training dataset in the database. Step 2: Substitute the circulating water pump load, condenser load, and water consumption at each time point in the training dataset into the formula, and store the resulting formula in the database; Step 3: Take the average value of the circulating water pump load, condenser load and water consumption at the same time each day in the database; use the formula after averaging the values ​​at each time as the application dataset, and store the application dataset in the database.

5. A circulating water pump operation system based on a big data evaluation model according to claim 4, characterized in that, The control process of the control unit includes: At t=1, the circulating water pump load, condenser load, and water consumption are derived from the formula at t=1 in the application dataset, and the load of the driving device of the circulating water pump is controlled to reach the circulating water pump load at t=1, and the load of the condenser is controlled to reach the condenser load at t=1; and the circulating water pump load, condenser load, and water consumption at t+1 in the application dataset are derived in advance. When t=2, the load of the driving device of the circulating water pump and the load of the condenser are controlled to be equal to the circulating water pump load and condenser load at t+1 in the application dataset; Let t = t + 1, and repeat the above steps until t = 24.

6. A circulating water pump operation system based on a big data evaluation model according to claim 5, characterized in that, The control process further includes: inputting the load of the circulating water pump, the load of the condenser, and the water consumption at t = 1, 2, 3... 24 into the application data storage center, recalculating the average value of each parameter to form a new application data set, and replacing the original application data set with the new one.

7. A circulating water pump operation system based on a big data evaluation model according to claim 1, characterized in that, It further includes an alarm unit: The alarm unit is signal-connected to the detection unit and the database. When there are errors between the load of the circulating water pump, the load of the condenser, and the water consumption detected in real time and those in the application data set in the database, the alarm unit sends an alarm instruction to the terminal, indicating that there is a fault in the control unit; the terminal is controlled by the staff.

8. A circulating water pump operation system based on a big data evaluation model according to claim 7, characterized in that, The alarm instruction includes: Comparing the load of the circulating water pump detected in real time with that in the application data set to obtain the water pump load error A; presetting a water pump load error matrix A0 (A1, A2, A3), where A1 is the first preset error, A2 is the second preset error, A3 is the third preset error, and A1 < A2 < A3; generating an alarm instruction E (E1, E2, E3, E4) according to the water pump load error A; when A < A1, the alarm unit sends a first-level instruction E1 to the terminal; when A1 < A < A2, the alarm unit sends a second-level instruction E2 to the terminal; when A2 < A < A3, the alarm unit sends a third-level instruction E3 to the terminal; when A > A3, the alarm unit sends a fourth-level instruction E4 to the terminal; Comparing the load of the condenser detected in real time with that in the application data set to obtain the condenser load error B; presetting a condenser load error matrix B0 (B1, B2, B3), where B1 is the first preset error, B2 is the second preset error, B3 is the third preset error, and B1 < B2 < B3; generating an alarm instruction F (F1, F2, F3, F4) according to the condenser load error B; when B < B1, the alarm unit sends a first-level instruction F1 to the terminal; when B1 < B < B2, the alarm unit sends a second-level instruction F2 to the terminal; when B2 < B < B3, the alarm unit sends a third-level instruction F3 to the terminal; when B > B3, the alarm unit sends a fourth-level instruction F4 to the terminal; Comparing the water consumption detected in real time with the water consumption rate in the application data set to obtain the water consumption error C; presetting a water consumption error matrix C0 (C1, C2, C3), where C1 is the first preset error, C2 is the second preset error, C3 is the third preset error, and C1 < C2 < C3; generating an alarm instruction G (G1, G2, G3, G4) according to the water consumption error C; when C < C1, the alarm unit sends a first-level instruction G1 to the terminal; when C1 < C < C2, the alarm unit sends a second-level instruction G2 to the terminal; when C2 < C < C3, the alarm unit sends a third-level instruction G3 to the terminal; when C > C3, the alarm unit sends a fourth-level instruction G4 to the terminal.

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