Intelligent variable frequency drive method, system, storage medium and terminal

Abstract

The present invention relates to an intelligent variable frequency drive method, system, storage medium and terminal, and relates to the technical field of circulating water pumps. The method includes: obtaining the real-time output current of the frequency converter and the real-time operating speed of the ship; when and only when the real-time output current is less than the preset reference output current, the estimated continuous operation time of the ship is determined according to the real-time operating speed and the preset reference operating state; calculating the product of the real-time output current and the estimated continuous operation time and using it as the real-time output electric energy; obtaining the real-time reserve electric energy of the energy storage device; determining the current output information according to the comparison between the real-time output electric energy and the real-time reserve electric energy; controlling the frequency converter to stop output and outputting the current output information to the energy storage device so that the preset circulating water pump continues to operate. The present application has the effect of reducing energy consumption.

Description

Technical Field

[0001] The present invention relates to the technical field of circulating water pumps, and in particular to an intelligent variable frequency driving method, system, storage medium and terminal. Background Art

[0002] At present, the intelligent variable frequency circulating water pump is a device that uses a frequency converter to change the speed of the circulating water pump, and is used to supply cooling water to the generators, diesel engines and other devices that generate heat during operation on ships. The circulating water pump is equipped with multiple cooling water collection and discharge functions.

[0003] In the prior art, during the operation of a heat generating device, the temperature of each heat generating device and the temperature of seawater are detected in real time, and parameters such as temperature and heat transfer are combined and calculated through components in the frequency converter, thereby obtaining the amount of seawater required for cooling and the speed information corresponding to each circulating water pump and outputting them to the corresponding circulating water pump. The seawater is collected by the circulating water pump set by the operator. When the temperature of the collected seawater reaches a point where it is not easy to produce cooling, the collected seawater is discharged through other circulating water pumps.

[0004] With respect to the above-mentioned related technologies, during the operation of the heat-generating device, the device continues to generate heat and needs to be cooled, and the circulating water pump needs to continue to operate, resulting in the inverter continuing to output to generate energy consumption. Summary of the invention

[0005] In order to reduce energy consumption, the present invention provides an intelligent variable frequency driving method, system, storage medium and terminal.

[0006] In a first aspect, the present invention provides an intelligent variable frequency driving method, which adopts the following technical solution:

[0007] An intelligent variable frequency driving method, comprising:

[0008] Obtain the real-time output current of the inverter and the real-time running speed of the ship;

[0009] If and only if the real-time output current is less than the preset reference output current, the estimated continuous operation time of the ship is determined according to the real-time operation speed and the preset reference operation state;

[0010] Calculate the product of the real-time output current and the estimated continuous operation time and use it as the real-time output electric energy;

[0011] Obtain real-time reserve power of the energy storage device;

[0012] Determine the current output information according to the comparison between the real-time output electric energy and the real-time reserve electric energy;

[0013] The inverter is controlled to stop output and output current output information to the energy storage device so that the preset circulating water pump continues to operate.

[0014] By adopting the above technical solution, when the real-time output current of the inverter is less than the reference output current, the current output information is output to the energy storage device by comparing the real-time output electric energy with the real-time reserve electric energy, so that the operation of the inverter can be stopped and the circulating water pump can continue to operate, thereby reducing the power consumption of the inverter.

[0015] Optional, real-time reserve power acquisition method:

[0016] Obtain the real-time travel direction of the ship and the location information of the energy storage device;

[0017] Determine the ship vector parameters and the water flow vector parameters according to the real-time running speed and the real-time running direction;

[0018] Calculate the sum of the water flow vector parameter and the ship vector parameter and use it as the optimal collection parameter;

[0019] Determine the optimal flow rate of water based on the optimal collection parameters;

[0020] Match the water flow input current per unit time from a preset water flow database based on the optimal water flow velocity;

[0021] Determine the real-time conversion of electrical energy generated by the energy storage device after exposure to sunlight based on the real-time driving direction and location information;

[0022] Calculate the product of the water flow input current and the estimated continuous operation time and use it as the water flow reserve power;

[0023] The sum of the real-time conversion electric energy and the water flow reserve electric energy is calculated and used as the real-time reserve electric energy.

[0024] By adopting the above technical solution, the optimal collection parameters of the energy storage device for collecting the real-time water flow velocity are determined by the ship vector parameters and the water flow vector parameters, and then the water flow input current is determined by the optimal collection parameters and the product of the estimated continuous operation time is used as the water flow reserve electric energy, and the sum of the water flow reserve electric energy and the real-time converted electric energy is calculated as the real-time reserve electric energy, so that the amount of electricity in the energy storage device can be accurately known.

[0025] Optionally, the method further includes the following specific steps before matching the water flow input current per unit time:

[0026] Determine the best collection direction based on the best collection parameters;

[0027] Determine the real-time offset angle according to the best collection direction and the real-time driving direction;

[0028] Determine whether the real-time offset angle is greater than a preset reference offset angle;

[0029] If it is not greater than, the real-time offset angle is used as offset control information and output to the energy storage device;

[0030] If it is greater than, the reference offset angle is used as offset control information and output to the energy storage device, and the maximum water flow rate of the energy storage device per unit time is obtained;

[0031] The parameters matched from the water flow database based on the maximum water flow velocity are used as the water flow input current.

[0032] By adopting the above technical solution, when it is not easy for the energy storage device to achieve a real-time offset angle, the maximum water flow rate is determined by the maximum water flow rate, and the water flow input current is determined by the maximum water flow rate, so that the mechanical energy corresponding to the kinetic energy of the water can be converted into electrical energy to the maximum extent and stored in the energy storage device.

[0033] Optional, real-time method for determining the converted electrical energy:

[0034] Obtain the ambient temperature and humidity values ​​around the ship;

[0035] Determine the sun exposure time based on the location information;

[0036] Determine season information according to location information, ambient temperature value and ambient humidity value;

[0037] Retrieve sunlight intensity based on seasonal information;

[0038] Based on the sunlight illumination, the benchmark conversion electric energy per unit time is matched from the preset conversion database;

[0039] Calculate the product of the benchmark conversion electric energy and the solar radiation time and use it as the benchmark conversion total electric energy;

[0040] The estimated total conversion electric energy is determined based on the benchmark total conversion electric energy and seasonal information, and the estimated total conversion electric energy is used as the real-time conversion electric energy.

[0041] By adopting the above technical solution, the solar radiation time is determined by the season in which the energy storage device is located, and the product of the benchmark conversion electric energy and the solar radiation time is calculated to obtain the benchmark conversion total electric energy. The estimated total conversion electric energy of the solar energy conversion of the energy storage device is determined by the benchmark total conversion electric energy and the seasonal information, so that the amount of electricity converted from solar energy by the energy storage device can be accurately known.

[0042] Optionally, the specific steps after determining the estimated total converted electrical energy are also included:

[0043] Calculate the difference between the real-time reserve power and the water flow reserve power and use it as the actual conversion power;

[0044] Determine the electric energy error value based on the consistency between the actual converted electric energy and the estimated total converted electric energy;

[0045] If and only if the electric energy error value is greater than the preset reference error value, the actual illuminance per unit time is determined based on the real-time conversion of electric energy and the solar radiation time;

[0046] Determine the change in dust thickness based on actual light intensity and sunlight intensity;

[0047] Obtain natural wind force vector parameters and real-time rotation direction of solar energy devices;

[0048] Determine the dust adhesion force corresponding to different dust thicknesses according to the change of dust thickness and the natural wind force vector parameter;

[0049] Based on the change of dust thickness, the dust adhesion force corresponding to the minimum dust thickness is selected as the minimum adhesion force;

[0050] Calculate the natural wind vector parameters and the ship vector parameters to determine the operating wind vector parameters;

[0051] Determine the operating wind force and the operating wind direction according to the operating wind force vector parameters;

[0052] If and only if the operating wind force is less than the minimum adhesion force, the current angle is determined according to the operating wind direction and the real-time rotation direction;

[0053] Calculate the difference between the operating wind force and the minimum adhesion force and use it as the wind force deviation value;

[0054] The adjustment angle is determined according to the wind force deviation value and the current angle, and the adjustment angle is used as blowing cleaning information and output to the solar device to blow away the dust.

[0055] By adopting the above technical solution, when there is dust on the solar device that affects the collection of solar energy, different dust adhesion forces are determined by the change in dust thickness, natural wind force vector parameters and ambient humidity values, and then the operating wind force is determined by the operating wind force vector parameters, and the difference between the operating wind force and the minimum adhesion force is calculated and used as the wind force deviation value, and then the adjustment angle is determined by the wind force deviation value and the current angle and output to the solar device, thereby blowing away the dust on the solar device and reducing the impact of dust on the collection of solar energy by the solar device.

[0056] Optionally, a self-checking device preset in the circulating water pump is controlled to adjust the current of the frequency converter, and the adjusted real-time output current is re-acquired as the adjusted output current;

[0057] After the inverter output adjusts the output current, the real-time flow rate of the circulating water pump per unit time is obtained;

[0058] Based on the adjusted output current, a reference flow rate per unit time is matched from a water flow database;

[0059] Determine whether the real-time flow rate is consistent with the reference flow rate;

[0060] If they are consistent, continue to obtain the real-time output current;

[0061] If they are inconsistent, the difference between the real-time flow rate and the reference flow rate is calculated and used as the flow rate deviation value;

[0062] Determine whether the flow rate deviation value falls within a preset reference deviation range;

[0063] If it does not fall into the category, the preset warning prompt information is output;

[0064] If it falls in, the reference flow velocity area and reference flow direction of the water flowing through the circulating water pump are obtained;

[0065] Determine the estimated dirt thickness based on the reference velocity area and the velocity deviation value;

[0066] The pre-cleaning information is determined based on the reference water flow direction and the estimated dirt thickness and output to the circulating water pump.

[0067] By adopting the above technical scheme, the reference flow velocity area is determined by whether the flow velocity deviation value falls within the reference deviation range, and the presence of dirt on the pipe in the circulating water pump is determined by the reference flow velocity area and the flow velocity deviation value. When the water flow in the pipe with dirt reaches a certain flow velocity, the current of the inverter needs to be increased accordingly, so that the dirt in the pipe can be detected and cleaned.

[0068] Optionally, the method for determining the pre-cleaning information is:

[0069] Obtain water quality detection information of water flow in circulating water pump;

[0070] Determine the direction of the cleaning water flow based on the reference water flow direction;

[0071] Determine the pipe diameter of the circulating water pump based on the reference flow rate area;

[0072] Calculate the product of the reference velocity area, the pipe diameter and the preset water flow density and use it as the water flow pressure value;

[0073] Determine the type of dirt based on water quality test information and water flow density;

[0074] Determine the estimated dirt adhesion force based on the estimated dirt thickness, water flow pressure value and dirt type;

[0075] Based on the estimated dirt adhesion force, the cleaning flow rate and the cleaning output current corresponding to the cleaning flow rate are matched from the water flow database;

[0076] The cleaning output current is combined with the cleaning water flow direction to form pre-cleaning information.

[0077] By adopting the above technical solution, when there is dirt in the pipes of the circulating water pump, the cleaning water flow direction is determined by the reference water flow direction, and the estimated dirt adhesion is determined by estimating the dirt thickness, water flow pressure value and dirt type. Then, the cleaning output current is determined by the estimated dirt adhesion and combined with the cleaning water flow direction as pre-cleaning information, so that the stains in the pipes corresponding to the circulating water pump can be cleaned.

[0078] In a second aspect, the present application provides an intelligent variable frequency drive system, which adopts the following technical solution:

[0079] An intelligent variable frequency drive system, comprising:

[0080] An acquisition module is used to obtain real-time output current, real-time running speed, real-time reserve power, real-time driving direction, location information, maximum water flow velocity, ambient temperature value, ambient humidity value, natural wind force vector parameter, real-time rotation direction, real-time flow velocity, reference flow velocity area, reference water flow direction, water quality detection information, pipeline length and pipeline material information;

[0081] A memory for storing a program of an intelligent variable frequency driving method;

[0082] The program in the memory can be loaded and executed by the processor to realize an intelligent variable frequency driving method.

[0083] In a third aspect, the present application provides a computer storage medium capable of storing corresponding programs, which is convenient for reducing energy consumption and adopts the following technical solutions:

[0084] A computer-readable storage medium stores a computer program that can be loaded by a processor and execute the above-mentioned intelligent variable frequency driving method.

[0085] In a fourth aspect, the present application provides an intelligent terminal, which adopts the following technical solution:

[0086] An intelligent terminal comprises a memory and a processor, wherein the memory stores a computer program which can be loaded by the processor and execute the above-mentioned intelligent variable frequency driving method.

[0087] In summary, the present application includes at least one of the following beneficial technical effects:

[0088] 1. When the real-time output current of the inverter is less than the reference output current, the current output information is output to the energy storage device by comparing the real-time output electric energy with the real-time reserve electric energy, so that the operation of the inverter can be stopped and the circulating water pump can continue to operate, thereby reducing the power consumption of the inverter;

[0089] 2. Determine the optimal collection parameters of the energy storage device for collecting the real-time water flow velocity through the ship vector parameters and the water flow vector parameters, and then determine the product of the water flow input current and the estimated continuous operation time through the optimal collection parameters as the water flow reserve energy, and calculate the sum of the water flow reserve energy and the real-time conversion energy as the real-time reserve energy, so as to accurately know the amount of electricity in the energy storage device;

[0090] 3. When there is dirt in the pipes of the circulating water pump, the direction of the cleaning water flow is determined by the reference water flow direction, and the estimated dirt adhesion is determined by estimating the dirt thickness, water flow pressure value and dirt type. The cleaning output current is then determined by the estimated dirt adhesion and combined with the cleaning water flow direction as pre-cleaning information, so that the stains in the pipes corresponding to the circulating water pump can be cleaned. BRIEF DESCRIPTION OF THE DRAWINGS

[0091] Figure 1 This is a flow chart of a method for intelligent variable frequency driving according to an embodiment of the present invention;

[0092] Figure 2 is a method flow chart of a method for acquiring real-time reserve electric energy according to an embodiment of the present invention;

[0093] Figure 3 It is a method flow chart of the specific steps after determining the estimated total converted electrical energy according to an embodiment of the present invention. DETAILED DESCRIPTION

[0094] The following is combined with Figures 1 to 3 The present invention is further described in detail with examples.

[0095] An intelligent variable frequency drive method, system, storage medium and terminal detect the current of the inverter to adjust the operation of an energy storage device instead of the inverter, and further adjust the operation of the energy storage device instead of the inverter according to the electric energy situation in the energy storage device, the detection situation of the inverter, the presence of dirt in the pipeline of the circulating water pump and the method for cleaning the dirt, thereby reducing the energy consumption of the inverter.

[0096] Reference Figure 1 The present application discloses an intelligent variable frequency driving method, comprising the following steps:

[0097] Step S100: obtaining the real-time output current of the inverter and the real-time running speed of the ship.

[0098] The real-time output current refers to the current output by the inverter on the intelligent variable frequency circulating water pump in real time. The parameter detected by the current sensor preset on the inverter is used as the real-time output current. The real-time operating speed refers to the real-time operating speed of the ship equipped with the intelligent variable frequency circulating water pump. The real-time operating speed is formed by combining the corresponding real-time displayed speed parameter when the ship is traveling with the real-time water flow speed parameter, so as to facilitate subsequent analysis.

[0099] Step S101: When and only when the real-time output current is less than the preset reference output current, the estimated continuous operation time of the ship is determined according to the real-time operation speed and the preset reference operation state.

[0100] The reference output current refers to the reference current output by the inverter on the intelligent variable frequency circulating water pump in real time, which is formed by the operator's pre-setting and storage. The reference operating state refers to the state corresponding to the ship's uniform speed or stationary state, which is formed by the operator's pre-recording and storage.

[0101] The estimated continuous operation time refers to the estimated duration of the ship maintaining the reference operating state and the real-time operating speed. By judging whether the real-time output current is less than the reference output current, it can be judged whether the inverter can perform the current output replacement. When the real-time output current is not less than the reference output current, it means that the inverter cannot perform the current output replacement, and the inverter output current continues to be controlled. When the real-time output current is less than the reference output current, it means that the inverter can perform the current output replacement, and the estimated time for the ship to run at the real-time operating speed and maintain the reference operating state is used as the estimated continuous operation time.

[0102] Step S102: Calculate the product of the real-time output current and the estimated continuous operation time and use it as the real-time output power.

[0103] Real-time output electric energy refers to the amount of electricity output by the inverter on the intelligent variable frequency circulating water pump in real time. The product of the real-time output current and the estimated continuous running time is calculated and used as the real-time output electric energy.

[0104] Step S103: Acquire the real-time reserve electric energy of the energy storage device.

[0105] Real-time reserve electric energy refers to the electric energy stored in the energy storage device in real time. The real-time reserve electric energy is calculated by calculating the sum of the kinetic energy of water and the electric energy converted by the energy storage device to solar energy. The energy storage device is a device used to store the sum of the kinetic energy of water and the electric energy converted by solar energy and replace the inverter output current. The energy storage device includes a battery pack, a propeller blade connected to the battery pack and located in the water, and a solar device connected to the battery pack. The propeller blade refers to a device used to collect the mechanical energy generated by the flow of water and convert it into electric energy. The propeller blade is installed outside the ship and located in the water and is connected to the battery pack of the energy storage device by wires to output current. The solar device refers to a device used to convert solar energy into electric energy and can rotate. The solar device is located in the best sunlight position on the ship and is connected to the battery pack of the energy storage device by wires to output current.

[0106] Step S104: determining current output information according to a comparison between the real-time output power and the real-time reserve power.

[0107] The current output information refers to the control information that controls the energy storage device to replace the inverter output current. The real-time output electric energy is compared with the real-time reserve electric energy. When the real-time output electric energy is less than the real-time reserve electric energy, it means that the energy storage device can replace the inverter output current. The real-time output current is combined with the parameters corresponding to the estimated continuous operating time to form the current output information.

[0108] Step S105: Control the frequency converter to stop output and output the current output information to the energy storage device so that the preset circulating water pump continues to run.

[0109] The circulating water pump is a device used to provide cooling water to heat-generating devices in ships. The inverter continuously outputs current to the circulating water pump, so that the circulating water pump can continue to run. When the circulating water pump is running, the energy storage device automatically collects the kinetic energy of water and solar energy, so as to power the circulating water pump, and then replace the inverter output to achieve the effect of reducing the inverter's power consumption.

[0110] exist Figure 1 In step S103, in order to further ensure the rationality of the method for obtaining the real-time reserve power, it is necessary to further analyze and calculate the method for obtaining the real-time reserve power. Figure 2 The steps shown are explained in detail.

[0111] Reference Figure 2 , real-time reserve power acquisition method:

[0112] Step S200: Acquire the real-time traveling direction of the ship and the location information of the energy storage device.

[0113] The real-time travel direction refers to the real-time travel direction of the ship, which is detected by the GPS positioning system preset on the ship as the real-time travel direction. The location information refers to the longitude and latitude of the location of the ship when it is traveling and the season corresponding to the location, etc., which is detected by the GPS positioning system preset on the ship as the real-time longitude and latitude of the ship as the location information.

[0114] Step S201: Determine the ship vector parameters and the water flow vector parameters according to the real-time running speed and the real-time traveling direction.

[0115] The ship vector parameter refers to the vector parameter corresponding to the ship during real-time driving, and is obtained by combining the parameters corresponding to the real-time driving direction and the real-time running speed.

[0116] The water flow vector parameter refers to the parameter of water flow based on the ship. The difference between the speed parameter displayed on the ship and the real-time running speed is calculated as the real-time water flow velocity, and the positive and negative conditions of the real-time water flow velocity are used to determine whether the water flow and the ship are flowing in the same direction or in the opposite direction. The direction parameter obtained by comparing the straight line of the water flow with the straight line direction corresponding to the ship's real-time driving direction is used as the real-time water flow direction. The real-time water flow direction is combined with the parameters corresponding to the real-time water flow velocity and used as the water flow vector parameter.

[0117] Step S202: Calculate the sum of the water flow vector parameter and the ship vector parameter and use it as the optimal collection parameter.

[0118] The optimal collection parameters refer to the optimal parameters for the propeller blades to collect water to generate mechanical energy. The vector sum between the water flow vector parameters and the ship vector parameters is calculated, and the calculated parameters are used as the optimal collection parameters.

[0119] For example, based on the direction of the ship's movement, the ship speed is 10 knots (one knot is one nautical mile) and the direction is due east, then the ship vector parameter is (10, 0), the real-time water flow direction relative to the direction of the ship's movement is 30° east of north, and the real-time water flow speed is 3 knots, then the northeast direction is divided into due east and due north, the speed in the due east direction is 3×cos30°≈2.6 knots, and the speed in the due north direction is 3×sin30°=1.5 knots. Because the water flow is in the same direction as the actual travel direction, the water flow vector parameter is (2.6, 1.5), then the optimal collection parameter is (10+2.6, 0+1.5)=(12.6, 1.5), the direction angle θ is arctan12.6 / 1.5≈6.8°, then the direction is 6.8° east of south.

[0120] Step S203: obtaining the optimal water flow rate based on the optimal collection parameters.

[0121] The optimal water flow velocity refers to the optimal flow velocity at which a ship can collect water to generate mechanical energy during its travel. The optimal water flow velocity is obtained by calculating the values ​​of the optimal collection parameters using the Pythagorean theorem.

[0122] For example, the optimal water flow rate is , 12.7 knots is the optimal water flow rate.

[0123] Step S204: matching the water flow input current per unit time from a preset water flow database based on the optimal water flow velocity.

[0124] The water flow input current refers to the current per unit time when the mechanical energy generated by the water is converted by the propeller blades and input into the energy storage device. The water flow input current is retrieved and matched from the preset water flow database by the optimal water flow velocity. The water flow database is artificially pre-stored with the current per unit time input into the energy storage device corresponding to the flow velocity and pressure of different water flows, which will not be elaborated here.

[0125] Step S205: Determine the real-time conversion electric energy generated by the energy storage device under the sun's irradiation according to the real-time driving direction and position information.

[0126] Real-time conversion of electric energy refers to the amount of electricity that is converted in real time by the solar device under sunlight and input into the energy storage device. The real-time conversion of electric energy is obtained by analyzing the parameters corresponding to the real-time driving direction and position information.

[0127] Step S206: Calculate the product of the water flow input current and the estimated continuous operation time and use it as the water flow reserve power.

[0128] Water flow reserve electric energy refers to the total amount of electricity that is converted into mechanical energy generated by water and output to the energy storage device during the estimated continuous operation time. The product of the water flow input current and the estimated continuous operation time is calculated and used as the water flow reserve electric energy.

[0129] Step S207: Calculate the sum of the real-time conversion electric energy and the water flow reserve electric energy and use it as the real-time reserve electric energy.

[0130] By calculating the sum of the real-time converted electrical energy and the water flow reserve electrical energy and using it as the real-time reserve electrical energy, the accuracy of the sum of the mechanical energy generated by water and the electrical energy converted from solar energy can be further improved.

[0131] exist Figure 2 In step S204 shown, in order to further ensure the rationality of the specific steps before matching the water flow input current per unit time, it is necessary to perform further separate analysis and calculation on the specific steps before matching the water flow input current per unit time, which is specifically described in detail through the steps shown below.

[0132] It also includes specific steps before matching the water flow input current per unit time:

[0133] Step S300: obtaining the best collection direction based on the best collection parameters.

[0134] The best collection direction refers to the best direction of mechanical energy generated by the spiral blades collecting the flow of water, and the parameters of the corresponding direction are retrieved from the best collection parameters as the best collection direction. For example, 6.8° east by south calculated in step S202 is used as the best collection direction.

[0135] Step S301: determining a real-time offset angle according to the optimal collection direction and the real-time driving direction.

[0136] The real-time offset angle refers to the angle at which the propeller blades are offset in real time. The angle parameter in the best collection direction obtained by calculating the best collection direction and the real-time driving direction is used as the real-time offset angle. For example, when the ship is traveling due east, the east-south direction is a negative angle offset, and 6.8° is used as the value of the offset angle, then the real-time offset angle is -6.8°.

[0137] Step S302: Determine whether the real-time offset angle is greater than the preset reference offset angle. If not, jump to step S303. If yes, jump to step S304.

[0138] The reference offset angle refers to the maximum angle at which the spiral blade can be offset, which is set and stored in advance by the operator. By judging whether the real-time offset angle is greater than the preset reference offset angle, it is judged whether the spiral blade can achieve the offset operation of the real-time offset angle.

[0139] Step S303: The real-time offset angle is used as offset control information and output to the energy storage device.

[0140] The offset control information refers to the control information for controlling the mechanical energy offset operation of the spiral fan blades. When the real-time offset angle is not greater than the preset reference offset angle, it means that the spiral fan blades can realize the offset operation of the real-time offset angle. By using the parameters corresponding to the real-time offset angle as the offset control information and outputting the offset control information to the energy storage device, the mechanical energy generated by the water flow can be collected to the maximum extent, thereby improving the efficiency of converting the mechanical energy generated by the water flow into electrical energy.

[0141] Step S304: The reference offset angle is used as offset control information and output to the energy storage device, and the maximum water flow rate of the energy storage device per unit time is obtained.

[0142] The maximum water flow rate refers to the maximum flow rate of water collected by the spiral fan blades after they are offset by the reference offset angle. When the real-time offset angle is greater than the reference offset angle, it means that the spiral fan blades cannot achieve the offset operation of the real-time offset angle. The impeller flow sensor preset on the spiral fan blades detects the parameters of the spiral fan blade rotation as the maximum water flow rate.

[0143] Step S305: Parameters matched from the water flow database based on the maximum water flow velocity are used as water flow input current.

[0144] By using the parameters matched from the water flow database through the maximum water flow velocity as the water flow input current, it is possible to know the maximum flow velocity of the water collected by the propeller blades when they are at their maximum deflection, thereby improving the accuracy of the electrical energy in the energy storage device.

[0145] exist Figure 2 In step S205 shown, in order to further ensure the rationality of the method for determining the real-time conversion of electric energy, it is necessary to perform further separate analysis and calculation on the method for determining the real-time conversion of electric energy, which is specifically described in detail through the following steps.

[0146] Method for determining the real-time conversion of electrical energy:

[0147] Step S400: Acquire the ambient temperature and humidity around the ship.

[0148] The ambient temperature value refers to the temperature value of the surrounding environment when the ship is sailing, and the ambient humidity value refers to the humidity value of the surrounding environment when the ship is sailing. The parameters detected by the temperature sensor and humidity sensor preset on the ship are used as the ambient temperature value and the ambient humidity value.

[0149] Step S401: Determine the solar radiation time according to the location information.

[0150] The solar radiation time refers to the maximum time that the ship can be exposed to the sun at its location. The solar radiation time is obtained by performing a network search using the longitude and latitude retrieved from the location information.

[0151] Step S402: Determine season information according to location information, ambient temperature value, and ambient humidity value.

[0152] Seasonal information refers to the season at the location of the ship and the solar illumination corresponding to the season. The area where the ship is located is determined by retrieving the longitude and latitude from the location information, and the area where the ship is located, the ambient temperature value, and the ambient humidity value are combined for analysis to determine the season information.

[0153] Step S403: Retrieve the sunlight illumination based on the season information.

[0154] Solar irradiance refers to the irradiance corresponding to the sun shining on the solar energy device, and the solar irradiance parameter is retrieved from the seasonal information as the solar irradiance.

[0155] Step S404: matching the reference conversion electric energy per unit time from a preset conversion database based on the solar illumination.

[0156] The reference conversion electric energy refers to the reference electric energy converted by the solar device with the sunlight illumination per unit time. The reference conversion electric energy is retrieved from the conversion database after searching and matching with the sunlight illumination. The conversion database stores the corresponding conversion electric energy of different solar illumination in advance through manual operation, which will not be elaborated here.

[0157] Step S405: Calculate the product of the reference conversion electric energy and the solar radiation time and use it as the reference conversion total electric energy.

[0158] The benchmark total conversion electric energy refers to the total amount of electricity that a solar energy device can convert during the solar radiation time. The product of the benchmark conversion electric energy and the solar radiation time is calculated and used as the benchmark total conversion electric energy.

[0159] Step S406: Determine the estimated total conversion power according to the benchmark total conversion power and the season information, and use the estimated total conversion power as the real-time conversion power.

[0160] The estimated total converted electrical energy refers to the estimated total amount of electricity input to the energy storage device in the season in which the ship is located. The temperature of the solar radiation corresponding to the ambient temperature in the seasonal information, and the temperature of the solar radiation continuously irradiates the solar energy device during the solar radiation time to cause it to continue to heat up, so as to generate deviation parameters for the electrical energy converted by the solar energy device. The deviation parameters are combined with the benchmark total converted electrical energy for analysis to obtain the estimated total converted electrical energy.

[0161] For example, when the ship is in summer, the ambient temperature is higher than that in other seasons, and the temperature of the sun shining on the solar device is also higher than that in other seasons. During the corresponding exposure time in summer, the solar device continues to heat up and causes attenuation and deviation of the current transmission in the solar device.

[0162] In step S406 shown above, in order to further ensure the rationality of the specific steps after determining the estimated total converted electric energy, it is necessary to further analyze and calculate the specific steps after determining the estimated total converted electric energy. Figure 3 The steps shown are explained in detail.

[0163] Reference Figure 3 , and also includes the specific steps after determining the estimated total converted electrical energy:

[0164] Step S500: Calculate the difference between the real-time reserve power and the water flow reserve power and use it as the actual converted power.

[0165] The actual converted electrical energy refers to the amount of electricity actually converted by the solar device during the solar radiation period. The difference between the real-time reserve electrical energy and the water flow reserve electrical energy is calculated and used as the actual converted electrical energy.

[0166] Step S501: determining an electric energy error value according to the consistency between the actual converted electric energy and the estimated total converted electric energy.

[0167] The electric energy error value refers to the error value of the converted electric energy of the solar energy device. The actual converted electric energy is compared with the estimated total converted electric energy. When the actual converted electric energy is consistent with the estimated total converted electric energy, it means that there is no deviation in the solar energy device. When the actual converted electric energy is inconsistent with the estimated total converted electric energy, it means that there is a deviation in the solar energy device. The difference between the actual converted electric energy and the estimated total converted electric energy is calculated and used as the electric energy error value.

[0168] Step S502: When and only when the electric energy error value is greater than a preset reference error value, the actual illuminance per unit time is determined based on the real-time converted electric energy and the solar radiation time.

[0169] The reference error value refers to the error value of the electric energy conversion of the solar device in different seasons, which is set and stored by the operator in advance. The actual illuminance refers to the actual illuminance of the sun received by the solar device. The corresponding parameters are retrieved and matched from the conversion database through real-time conversion of electric energy, and the quotient of the retrieved parameters and the solar radiation time is calculated as the actual illuminance.

[0170] By judging whether the difference between the two is greater than the preset reference error value, it is judged whether there is dust or other impurities on the solar device that affect the conversion of electric energy. When the difference between the two is not greater than the reference error value, it means that there is no dust or other impurities on the solar device that affect the conversion of electric energy. When the difference between the two is greater than the reference error value, it means that there is dust or other impurities on the solar device that affect the conversion of electric energy.

[0171] Step S503: Determine the change in dust thickness according to the actual light intensity and the sunlight intensity.

[0172] The dust thickness variation refers to the different dust thicknesses on the surface of the solar device that collects sunlight. The difference between the actual illuminance at each position on the solar device and the sunlight illuminance is calculated and used as the illuminance deviation value. The illuminance deviation value is analyzed to obtain the parameter of dust covering the illuminance as the dust thickness variation.

[0173] Step S504: Obtain natural wind force vector parameters.

[0174] The natural wind vector parameter refers to the vector parameter of the wind direction and wind speed corresponding to the wind naturally formed when the ship is running. The wind direction or wind force parameters detected by the mechanical wind speed sensor preset on the ship are combined as the natural wind vector parameter.

[0175] Step S505: determining the dust adhesion force corresponding to different dust thicknesses according to the dust thickness variation and the natural wind force vector parameter.

[0176] The dust adhesion force refers to the adhesion force corresponding to each dust thickness adhering to the solar device. The minimum adhesion force corresponding to different dust thicknesses in the dust thickness change condition is determined by the natural wind force in the natural wind force vector parameter as the dust adhesion force.

[0177] The operating wind vector parameter refers to the vector parameter of the optimal wind direction and wind speed corresponding to the intersection of the wind force naturally formed when the ship is sailing and the wind force of the ship's sailing. The operating wind vector parameter is determined by calculating the vector sum between the natural wind vector parameter and the ship's vector parameter.

[0178] Step S506: based on the dust thickness variation, the dust adhesion force corresponding to the minimum dust thickness is selected as the minimum adhesion force.

[0179] The minimum adhesion force refers to the dust adhesion force corresponding to the minimum dust thickness in the dust thickness variation situation, and the dust adhesion force corresponding to the minimum dust thickness is selected from different dust thicknesses in the dust thickness variation situation as the minimum adhesion force.

[0180] The best wind direction refers to the wind direction where the wind force naturally generated when the ship is sailing and the wind force generated by the ship are combined to form the maximum wind force. The best wind direction is obtained by calculating the direction angle parameter in the operating wind vector parameter. The best wind speed refers to the wind speed where the wind force naturally generated when the ship is sailing and the wind force generated by the ship are combined to form the maximum wind force. The best wind speed is obtained by calculating the value in the best collection parameter using the Pythagorean theorem.

[0181] Step S507: Calculate the natural wind vector parameter and the ship vector parameter to determine the operating wind vector parameter.

[0182] The operating wind vector parameter refers to the vector parameter of the intersection of the wind force in the relative direction generated when the ship is running and the natural wind force. The vector sum between the natural wind vector parameter and the ship vector parameter is calculated, and the vector sum parameter is used as the operating wind vector parameter.

[0183] Step S508: Determine the operating wind force and the operating wind direction according to the operating wind force vector parameters.

[0184] The operating wind force refers to the wind force corresponding to the wind speed in the operating wind force vector parameter. The operating wind speed is retrieved from the operating wind force vector parameter and then retrieved and matched from the wind force database. The wind force corresponding to different wind speeds is manually pre-set in the wind force database, which will not be described in detail here. The operating wind direction refers to the wind direction in the operating wind force vector parameter. The direction parameter is retrieved from the operating wind force vector parameter as the operating wind direction.

[0185] Step S509: When and only when the operating wind force is less than the minimum adhesion force, the current angle is determined according to the operating wind direction and the real-time rotation direction.

[0186] The current angle refers to the current distance between the solar panel on the solar device and the running wind direction. The current angle is the angle formed by the intersection of the straight line of the current solar panel and the straight line corresponding to the running wind direction.

[0187] Step S510: Calculate the difference between the operating wind force and the minimum adhesion force and use it as the wind force deviation value.

[0188] The wind force deviation value refers to the deviation value between the operating wind force and the minimum adhesion force. The difference between the operating wind force and the minimum adhesion force is calculated and used as the wind force deviation value.

[0189] Step S511: determining an adjustment angle according to the wind force deviation value and the current angle, and outputting the adjustment angle as blowing cleaning information to the solar device to blow away the dust.

[0190] The blowing cleaning information refers to control information for controlling the solar device to clean dust in the running direction. The parameters corresponding to the adjustment angle are used as the blowing cleaning information and output to the solar device.

[0191] exist Figure 1 In step S100 shown, in order to further ensure the rationality of the specific steps before obtaining the real-time output current of the inverter, it is necessary to perform further separate analysis and calculation on the specific steps before obtaining the real-time output current of the inverter, which is specifically described in detail through the steps shown below.

[0192] It also includes the specific steps before obtaining the real-time output current of the inverter:

[0193] Step S600: controlling the self-checking device preset in the circulating water pump to adjust the current of the frequency converter, and reacquiring the adjusted real-time output current as the adjusted output current.

[0194] The adjusted output current refers to the current output by the inverter after adjustment. The self-checking device refers to the device corresponding to the abnormality of the inverter by changing the current output of the inverter. After the inverter current is adjusted by controlling the self-checking device preset in the circulating water pump, the parameters detected by the current sensor preset on the inverter are used as the adjusted output current.

[0195] Step S601: After the inverter output adjusts the output current, the real-time flow rate of the circulating water pump per unit time is obtained.

[0196] The real-time flow rate refers to the real-time flow rate of the circulating water pump per unit time after the inverter output adjusts the output current. The parameter obtained by real-time detection by the water flow sensor preset in the circulating water pump is used as the real-time flow rate.

[0197] Step S602: matching a reference flow rate per unit time from a water flow database based on the adjusted output current.

[0198] The reference flow rate refers to the flow rate corresponding to the water flow in the circulating water pump when the inverter output adjusts the output current. The reference flow rate per unit time is retrieved and matched from the water flow database by adjusting the output current.

[0199] Step S603: Determine whether the real-time flow rate is consistent with the reference flow rate. If yes, jump to step S604. If no, jump to step S605.

[0200] By judging whether the real-time flow rate is consistent with the reference flow rate, it can be judged whether the frequency converter has deviation.

[0201] Step S604: continue to obtain the real-time output current.

[0202] When the real-time flow rate is consistent with the reference flow rate, it indicates that there is no deviation in the frequency converter, and then step S100 is continued.

[0203] Step S605: Calculate the difference between the real-time flow rate and the reference flow rate and use it as the flow rate deviation value.

[0204] The flow rate deviation value refers to the deviation between the real-time flow rate and the reference flow rate. When the real-time flow rate is inconsistent with the reference flow rate, it means that the frequency converter has a deviation. The difference between the real-time flow rate and the reference flow rate is calculated and used as the flow rate deviation value.

[0205] Step S606: Determine whether the flow rate deviation value falls within the preset reference deviation range. If not, jump to step S607. If yes, jump to step S608.

[0206] The reference deviation range refers to the maximum deviation value of the water flow rate that can occur when the frequency converter controls the operation of the circulating water pump. By judging whether the flow rate deviation value falls within the preset reference deviation range, it can be judged whether the frequency converter has an abnormality.

[0207] Step S607: Output the preset warning prompt information.

[0208] The early warning information refers to the information that the inverter is abnormal and warns the operator. It is set and stored by the operator in advance. When the flow rate deviation value does not fall within the reference deviation range, it means that the inverter is abnormal, and the early warning information is output to warn the staff.

[0209] Step S608: Obtain a reference flow velocity area and a reference water flow direction of the water flowing through the circulating water pump.

[0210] The reference velocity area refers to the cross-sectional area of ​​the pipe in the circulating water pump. When the velocity deviation value falls within the reference deviation range, it means that the inverter is not abnormal. Then, the diameter of the pipe corresponding to the circulating water pump is manually input and the cross-sectional area of ​​the pipe is calculated as the reference velocity area. The reference water flow direction refers to the reference flow direction of the water flow transported by the pipe corresponding to the circulating water pump for cooling the heating device. The operator pre-sets the water flow direction corresponding to the circulating water pump for collecting water flow and the circulating water pump for discharging water as the reference water flow direction.

[0211] Step S609: Determine the estimated dirt thickness according to the reference flow velocity area and the flow velocity deviation value.

[0212] The estimated dirt thickness refers to the estimated thickness of dirt on the inner wall of the pipe in the circulating water pump. The product of the reference flow rate area and the flow rate deviation value is calculated as the volume of water corresponding to the deviation flow rate per unit time, and the quotient of the volume of water corresponding to the deviation flow rate per unit time and the water flow rate per unit time corresponding to the circulating water pump is calculated as the deviation area. Then, the diameter corresponding to the cross-sectional area of ​​the pipe with deviation is calculated, and the difference between the calculated diameter and the diameter of the input pipe is used as the estimated dirt thickness.

[0213] Step S610: Determine pre-cleaning information according to the reference water flow direction and the estimated dirt thickness and output it to the circulating water pump.

[0214] Pre-cleaning information refers to control information for pre-cleaning the dirt on the inner wall of the pipe corresponding to the circulating water pump. The pre-cleaning information is obtained by combining and analyzing the reference water flow direction and the parameters corresponding to the estimated dirt thickness, and the pre-cleaning information is output to the circulating water pump to clean the dirt.

[0215] In the above-mentioned step S610, in order to further ensure the rationality of the method for determining the pre-cleaning information, it is necessary to perform further separate analysis and calculation on the method for determining the pre-cleaning information, which is specifically described in detail through the following steps.

[0216] Method for determining pre-cleaning information:

[0217] Step S700: Acquire water quality detection information of water flow in a circulating water pump.

[0218] Water quality detection information refers to the information obtained after detecting the water quality in the pipeline of the circulating water pump. The water is transported to the water tank used for cooling the heating device through the circulating water pump, and the parameter information obtained by the water quality detection device preset on the water pool is used as the water quality detection information.

[0219] Step S701: Determine the cleaning water flow direction based on the reference water flow direction.

[0220] The cleaning water flow direction refers to the real-time water flow direction used to clean dirt in the pipe. The water flow in the pipe is made to flow in the opposite direction to the reference water flow as the cleaning water flow direction, and the circulating water pump that collects the water flow is used to discharge the water flow, while the circulating water pump that discharges the water flow is used to collect the water flow, thereby achieving counter-flow of the water flow in the pipe.

[0221] Step S702: Determine the pipe diameter of the circulating water pump according to the reference flow rate area.

[0222] The pipe diameter refers to the diameter of the pipe in the circulating water pump. The diameter parameter is obtained by calculating the base flow rate area through the circle area.

[0223] Step S703: Calculate the product of the reference flow velocity area, the pipe diameter and the preset water flow density and use it as the water flow pressure value.

[0224] Water flow density refers to the density of the water flow collected by the circulating water pump. The water flow density is formed after the operator has tested it in advance and stored the results. The water flow pressure value refers to the pressure value corresponding to the water flow collected by the circulating water pump. The product value of the reference flow area, pipe diameter and preset water flow density is calculated and used as the water flow pressure value.

[0225] Step S704: Determine the type of dirt based on the water quality detection information and the water flow density.

[0226] The type of dirt refers to the type of dirt existing on the inner wall of the pipe in the circulating water pump. The density corresponding to the type of dirt produced by microorganisms and bacteria in the water is determined by the water flow density and the density of the normal water flow. The type of dirt produced by microorganisms and bacteria in the water quality detection information is combined with the density of the existing microorganisms and bacteria to obtain the type of dirt.

[0227] Step S705: Determine the estimated dirt adhesion force according to the estimated dirt thickness, water flow pressure value and dirt type.

[0228] The estimated dirt adhesion force refers to the adhesion force corresponding to the dirt on the inner wall of the pipe in the circulating water pump. The interaction force corresponding to the types of dirt produced by various microorganisms and bacteria is retrieved from the dirt types, and the combination of dirt corresponding to the estimated dirt thickness and the pressure adsorption of dirt by the water pressure value are combined and analyzed to obtain the estimated dirt adhesion force.

[0229] Step S706: Match the cleaning flow rate and the cleaning output current corresponding to the cleaning flow rate from the water flow database based on the estimated dirt adhesion force.

[0230] The cleaning flow rate refers to the flow rate of water corresponding to the dirt on the inner wall of the pipe in the circulating water pump. The cleaning output current refers to the current output by the inverter or energy storage device corresponding to the collection of the circulating water pump at the cleaning flow rate. The cleaning flow rate and the cleaning output current corresponding to the cleaning flow rate are retrieved and matched from the water flow database by estimating the dirt adhesion force. When the electric energy corresponding to the cleaning output current is less than the real-time reserve electric energy, it means that the energy storage device can replace the inverter output current, and the energy storage device output cleaning output current is selected. When the electric energy corresponding to the cleaning output current is not less than the real-time reserve electric energy, it means that the energy storage device is not easy to replace the inverter output current, and the inverter output cleaning output current is selected.

[0231] Step S707: Combine the cleaning output current and the cleaning water flow direction to form pre-cleaning information.

[0232] In step S707 shown above, in order to further ensure the rationality of the specific steps after combining the cleaning output current with the cleaning water flow direction to form the pre-cleaning information, it is necessary to perform further separate analysis and calculation on the specific steps after combining the cleaning output current with the cleaning water flow direction to form the pre-cleaning information, which is specifically explained in detail through the steps shown below.

[0233] Also included are specific steps after combining the cleaning output current with the cleaning water flow direction to form pre-cleaning information:

[0234] Step S800: Obtain the pipe length and pipe material information of the circulating water pump.

[0235] The pipe length refers to the length of the pipe in the circulating water pump, and the pipe material information refers to information such as the amplitude propagation rate of the material corresponding to the pipe in the circulating water pump. The pipe length and pipe material information are obtained through manual input by the operator.

[0236] Step S801: Retrieve the amplitude propagation rate based on the pipeline material information.

[0237] The amplitude propagation rate refers to the propagation rate of the amplitude propagated by the pipe material in the circulating water pump. The amplitude propagation rate is obtained from the pipe material information.

[0238] Step S802: Determine the center position of the pipeline based on the length of the pipeline.

[0239] The center position of the pipeline refers to the center position of the pipeline in the circulating water pump. It is calculated by calculating half of the pipeline length and taking the corresponding value on the pipeline as the center position of the pipeline.

[0240] Step S803: matching the vibration amplitude from a preset vibration database based on the estimated dirt adhesion force.

[0241] The vibration amplitude refers to the amplitude required to clean the dirt on the inner wall of the pipe in the circulating water pump. The vibration amplitude is matched from the vibration database by estimating the dirt adhesion. The vibration amplitude corresponding to the adhesion of different dirt is artificially stored in the vibration database in advance, which will not be elaborated here.

[0242] Step S804: determining the amplitude propagation distance according to the amplitude propagation rate and the vibration amplitude.

[0243] The amplitude propagation distance refers to the distance that the vibration amplitude can propagate on the pipeline. The total distance of vibration propagation is calculated by calculating the product of the amplitude propagation rate and the vibration amplitude, and the distance not greater than the distance corresponding to the vibration amplitude is selected from the total distance as the amplitude propagation distance.

[0244] Step S805: Determine whether the pipeline length is greater than the amplitude propagation distance. If not, jump to step S806. If yes, jump to step S807.

[0245] By judging whether the pipeline length is greater than the amplitude propagation distance, it can be determined whether multiple vibration-generating locations are required.

[0246] Step S806: The pipeline center position and vibration amplitude are used as vibration control information and output to a preset vibration generating device.

[0247] The vibration generating device refers to a device for generating vibration in the pipeline, and the vibration generating device may be a mechanical arm or other device capable of knocking. The vibration control information refers to the control information for controlling the vibration generating device to generate vibration in the pipeline. When the pipeline length is not greater than the amplitude propagation distance, it means that multiple vibration generating positions are not required, and the parameters corresponding to the pipeline center position and the vibration amplitude are combined to form the vibration control information.

[0248] Step S807: Calculate the quotient of the pipeline length and the amplitude propagation distance and use it as the maximum amplitude generation quantity.

[0249] The maximum amplitude generation number refers to the number of corresponding position points at which the vibration generating device causes the entire pipeline to generate amplitude. When the pipeline length is greater than the amplitude propagation distance, it means that multiple vibration-generating positions are required. The quotient of the pipeline length and the amplitude propagation distance is calculated and used as the maximum amplitude generation number.

[0250] Step S808: The bottom of the pipeline corresponding to the center position of the pipeline is used as the basic amplitude position, and the number corresponding to the basic amplitude position is used as the basic amplitude number.

[0251] The basic amplitude position refers to the basic position where the vibration generating device generates the amplitude of the pipeline. The bottom of the pipeline corresponding to the center position of the pipeline is taken as the basic amplitude position. The basic amplitude quantity refers to the number of basic amplitude positions required on the pipeline. The number of position points corresponding to the basic amplitude positions on the pipeline is taken as the basic amplitude quantity.

[0252] Step S809: Calculate the difference between the maximum amplitude generation quantity and the basic amplitude quantity and use it as the remaining amplitude quantity.

[0253] The remaining amplitude quantity refers to the quantity corresponding to the remaining positions on the pipeline that need to generate amplitude. The difference between the maximum amplitude generation quantity and the basic amplitude quantity is calculated and used as the remaining amplitude quantity.

[0254] Step S810: determining the remaining amplitude position based on the relative position on the pipeline corresponding to the remaining amplitude quantity and the basic amplitude position.

[0255] The remaining amplitude position refers to the position on the pipeline where the amplitude is required to be generated. The position corresponding to the left and right sides of the basic amplitude position in the relative direction of the basic amplitude position is used as the remaining amplitude position.

[0256] Step S811: combining the basic amplitude position, the residual amplitude position and the vibration amplitude to form vibration control information and output it to the vibration generating device.

[0257] Vibration control information refers to control information that drives the vibration generating device to vibrate the pipeline. The vibration control information is formed by combining the basic amplitude position, the residual amplitude position and the parameters corresponding to the vibration amplitude, and cross-arranging the residual amplitude position with the basic amplitude position to form the vibration control information. This allows the pipeline to be vibrated evenly, further improving the efficiency of cleaning dirt on the inner wall of the pipeline.

[0258] Based on the same inventive concept, an embodiment of the present invention provides an intelligent variable frequency drive system, including:

[0259] The acquisition module is used to obtain real-time output current, real-time operating speed, real-time reserve power, real-time driving direction, location information, maximum water flow velocity, ambient temperature value, ambient humidity value, natural wind vector parameters, real-time rotation direction, real-time flow velocity, reference flow velocity area, reference water flow direction, water quality detection information, pipeline length and pipeline material information.

[0260] The memory is used to store a program of an intelligent variable frequency driving method.

[0261] The program in the memory can be loaded and executed by the processor to realize an intelligent variable frequency driving method.

[0262] An embodiment of the present invention provides a computer-readable storage medium storing a computer program that can be loaded by a processor and executed by a smart variable frequency driving method.

[0263] The various processes and processing described above, such as an intelligent variable frequency drive method, can be executed by a CPU. For example, in some embodiments, an intelligent variable frequency drive method can be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a memory. In some embodiments, part or all of the computer program can be loaded and / or installed on a computing device via a ROM and / or a communication unit. When the computer program is loaded into RAM and executed by the CPU, an intelligent variable frequency drive method or multiple actions described above can be executed.

[0264] The present disclosure relates to methods, computing devices, computer-readable storage media, and / or computer program products. The computer program product may include computer-readable program instructions for executing various aspects of the present disclosure.

[0265] A computer-readable storage medium may be a tangible device that can hold and store instructions used by an instruction execution device. A computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the above. More specific examples (a non-exhaustive list) of computer-readable storage media include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a raised structure in a groove on which instructions are stored, and any suitable combination of the above. The computer-readable storage medium used herein is not to be interpreted as a transient signal itself, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through a fiber optic cable), or an electrical signal transmitted through a wire.

[0266] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network may include copper transmission cables, optical fiber transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge computing devices. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in each computing / processing device.

[0267] The computer program instructions for performing the operations of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages, such as Smalltalk, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. The computer-readable program instructions may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer, partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to connect through the Internet). In some embodiments, by using the state information of the computer-readable program instructions to personalize an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), the electronic circuit may execute the computer-readable program instructions, thereby implementing various aspects of the present disclosure.

[0268] These computer-readable program instructions can be provided to a processing unit of a general-purpose computer, a special-purpose computer, or other programmable data processing device, thereby producing a machine, so that when these instructions are executed by the processing unit of the computer or other programmable data processing device, a device that implements the functions / actions specified in one or more boxes in the flow chart and / or block diagram is generated. These computer-readable program instructions can also be stored in a computer-readable storage medium, and these instructions enable the computer, programmable data processing device, and / or other equipment to work in a specific manner, so that the computer-readable medium storing the instructions includes a manufactured product, which includes instructions for implementing various aspects of an intelligent variable frequency drive method or multiple actions.

[0269] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing device, or other device, so that a series of operating steps are executed on the computer, other programmable data processing device, or other device to produce a computer-implemented process, thereby causing the instructions executed on the computer, other programmable data processing device, or other device to implement an intelligent variable frequency drive method or multiple actions.

[0270] The embodiments of the present disclosure have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or technical improvements in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.

[0271] Based on the same inventive concept, an embodiment of the present invention provides an intelligent terminal, including a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute an intelligent variable frequency driving method.

Claims

1. An intelligent variable frequency driving method, characterized in that: include: Obtain the real-time output current of the inverter and the real-time running speed of the ship; If and only if the real-time output current is less than the preset reference output current, the estimated continuous operation time of the ship is determined according to the real-time operation speed and the preset reference operation state, and the estimated continuous operation time refers to the estimated duration when the ship maintains the reference operation state and the real-time operation speed; Calculate the product of the real-time output current and the estimated continuous operation time and use it as the real-time output electric energy; Obtain real-time reserve power of the energy storage device; Determine the current output information according to the comparison between the real-time output electric energy and the real-time reserve electric energy; The inverter is controlled to stop output and output current output information to the energy storage device so that the preset circulating water pump continues to operate.

2. The intelligent variable frequency driving method according to claim 1, characterized in that: Method for obtaining real-time reserve power: Obtain the real-time travel direction of the ship and the location information of the energy storage device; Determine the ship vector parameters and the water flow vector parameters according to the real-time running speed and the real-time running direction; Calculate the sum of the water flow vector parameter and the ship vector parameter and use it as the optimal collection parameter; Determine the optimal flow rate of water based on the optimal collection parameters; Match the water flow input current per unit time from a preset water flow database based on the optimal water flow velocity; Determine the real-time conversion of electrical energy generated by the energy storage device after exposure to sunlight based on the real-time driving direction and location information; Calculate the product of the water flow input current and the estimated continuous operation time and use it as the water flow reserve power; The sum of the real-time conversion electric energy and the water flow reserve electric energy is calculated and used as the real-time reserve electric energy.

3. The intelligent variable frequency driving method according to claim 2, characterized in that: It also includes specific steps before matching the water flow input current per unit time: Determine the best collection direction based on the best collection parameters; Determine the real-time offset angle according to the best collection direction and the real-time driving direction; Determine whether the real-time offset angle is greater than a preset reference offset angle; If it is not greater than, the real-time offset angle is used as offset control information and output to the energy storage device; If it is greater than, the reference offset angle is used as offset control information and output to the energy storage device, and the maximum water flow rate of the energy storage device per unit time is obtained; The parameters matched from the water flow database based on the maximum water flow velocity are used as the water flow input current.

4. The intelligent variable frequency driving method according to claim 2, characterized in that: Method for determining the real-time conversion of electrical energy: Obtain the ambient temperature and humidity values ​​around the ship; Determine the sun exposure time based on the location information; Determine season information according to location information, ambient temperature value and ambient humidity value; Retrieve sunlight intensity based on seasonal information; Based on the sunlight illumination, the benchmark conversion electric energy per unit time is matched from the preset conversion database; Calculate the product of the benchmark conversion electric energy and the solar radiation time and use it as the benchmark conversion total electric energy; The estimated total conversion electric energy is determined based on the benchmark total conversion electric energy and seasonal information, and the estimated total conversion electric energy is used as the real-time conversion electric energy.

5. The intelligent variable frequency driving method according to claim 4, characterized in that: It also includes the specific steps after determining the estimated total electrical energy converted: Calculate the difference between the real-time reserve power and the water flow reserve power and use it as the actual conversion power; Determine the electric energy error value based on the consistency between the actual converted electric energy and the estimated total converted electric energy; If and only if the electric energy error value is greater than the preset reference error value, the actual illuminance per unit time is determined based on the real-time conversion of electric energy and the solar radiation time; Determine the change in dust thickness based on actual light intensity and sunlight intensity; Obtain natural wind force vector parameters and real-time rotation direction of solar energy devices; Determine the dust adhesion force corresponding to different dust thicknesses according to the change of dust thickness and the natural wind force vector parameter; Based on the change of dust thickness, the dust adhesion force corresponding to the minimum dust thickness is selected as the minimum adhesion force; Calculate the natural wind vector parameters and the ship vector parameters to determine the operating wind vector parameters; Determine the operating wind force and the operating wind direction according to the operating wind force vector parameters; If and only if the operating wind force is less than the minimum adhesion force, the current angle is determined according to the operating wind direction and the real-time rotation direction; Calculate the difference between the operating wind force and the minimum adhesion force and use it as the wind force deviation value; The adjustment angle is determined according to the wind force deviation value and the current angle, and the adjustment angle is used as blowing cleaning information and output to the solar device to blow away the dust.

6. The intelligent variable frequency driving method according to claim 1, characterized in that: It also includes the specific steps before obtaining the real-time output current of the inverter: Control the self-checking device preset in the circulating water pump to adjust the current of the frequency converter, and re-acquire the adjusted real-time output current as the adjusted output current; After the inverter output adjusts the output current, the real-time flow rate of the circulating water pump per unit time is obtained; Based on the adjusted output current, a reference flow rate per unit time is matched from a water flow database; Determine whether the real-time flow rate is consistent with the reference flow rate; If they are consistent, continue to obtain the real-time output current; If they are inconsistent, the difference between the real-time flow rate and the reference flow rate is calculated and used as the flow rate deviation value; Determine whether the flow rate deviation value falls within a preset reference deviation range; If it does not fall into the category, the preset warning prompt information is output; If it falls in, the reference flow velocity area and reference flow direction of the water flowing through the circulating water pump are obtained; Determine the estimated dirt thickness based on the reference velocity area and the velocity deviation value; The pre-cleaning information is determined based on the reference water flow direction and the estimated dirt thickness and output to the circulating water pump.

7. The intelligent variable frequency driving method according to claim 6, characterized in that: Method for determining pre-cleaning information: Obtain water quality detection information of water flow in circulating water pump; Determine the direction of the cleaning water flow based on the reference water flow direction; Determine the pipe diameter of the circulating water pump based on the reference flow rate area; Calculate the product of the reference velocity area, the pipe diameter and the preset water flow density and use it as the water flow pressure value; Determine the type of dirt based on water quality test information and water flow density; Determine the estimated dirt adhesion force based on the estimated dirt thickness, water flow pressure value and dirt type; Based on the estimated dirt adhesion force, the cleaning flow rate and the cleaning output current corresponding to the cleaning flow rate are matched from the water flow database; The cleaning output current is combined with the cleaning water flow direction to form pre-cleaning information.

8. An intelligent variable frequency drive system, characterized in that: include: An acquisition module is used to obtain real-time output current, real-time running speed, real-time reserve power, real-time driving direction, location information, maximum water flow velocity, ambient temperature value, ambient humidity value, natural wind force vector parameter, real-time rotation direction, real-time flow velocity, reference flow velocity area, reference water flow direction, water quality detection information, pipeline length and pipeline material information; A memory, used to store a program of an intelligent variable frequency driving method according to any one of claims 1 to 7; The program in the memory can be loaded and executed by the processor to implement an intelligent variable frequency drive method as described in any one of claims 1 to 7.

9. A computer-readable storage medium, characterized in that: A computer program capable of being loaded by a processor and executing an intelligent variable frequency driving method according to any one of claims 1 to 7 is stored.

10. An intelligent terminal, characterized in that: The invention comprises a memory and a processor, wherein the memory stores a computer program which can be loaded by the processor and executes an intelligent variable frequency driving method according to any one of claims 1 to 7.

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