Intelligent control methods and systems based on power supply and temperature / humidity

Abstract

This application discloses an intelligent control method and system based on power supply and temperature / humidity. The method includes: acquiring the total power load of the temperature and humidity monitoring device and the temperature and humidity control device, the output power of the photovoltaic power generation module, and the output power of the thermoelectric conversion module, and calculating the net power consumption accordingly; acquiring the battery state of charge of the battery pack; based on the power supply operating mode setting rules, obtaining the operating mode of the power supply system according to the net power and the battery state of charge, and controlling the power supply system to execute the operating mode; acquiring the ambient temperature and humidity, and controlling the operation of the temperature and humidity control device accordingly based on the temperature and humidity control operation strategy. This application realizes intelligent automatic control of power supply and temperature / humidity, enabling optimal use of power supply, saving energy, accurately controlling temperature and humidity, and improving the working efficiency of the system.

Description

Technical Field

[0001] This application relates to the field of intelligent control technology, and in particular to an intelligent control method and system based on power supply and temperature and humidity. Background Technology

[0002] Current temperature and humidity control devices generally consist of several components, including a power supply, a control system, and a temperature and humidity module. The power supply uses conventional batteries or direct AC power. Temperature and humidity control signals are sent manually to the control system, which then controls the temperature and humidity module to adjust the temperature and humidity in an indoor or enclosed space. However, existing control methods cannot achieve intelligent temperature and humidity adjustment, and they consume a lot of power, resulting in energy waste. Summary of the Invention

[0003] This application provides an intelligent control method and system based on power supply and temperature and humidity to solve the problems that existing control methods cannot achieve intelligent adjustment of temperature and humidity, and at the same time consume a lot of power, resulting in energy waste.

[0004] In a first aspect, embodiments of this application provide an intelligent control method based on power supply and temperature / humidity, the method comprising the following steps:

[0005] Obtain the total power load of the temperature and humidity monitoring device and the temperature and humidity control device, the output power of the photovoltaic power generation module, and the output power of the thermoelectric conversion module, and calculate the net power consumption accordingly;

[0006] Obtain the state of charge of the battery pack;

[0007] Based on the power operating mode setting rules, the operating mode of the power system is obtained according to the net power and the battery state of charge, and the power system is controlled to execute the operating mode.

[0008] The system acquires ambient temperature and humidity, and controls the operation of the temperature and humidity control device accordingly based on the temperature and humidity control operation strategy.

[0009] Furthermore, the calculation of net power consumption includes:

[0010] The net power consumption of the intelligent control system is:

[0011] P net =P load -P PV -P TEG ;

[0012] Among them, P load P represents the total electrical load of the temperature and humidity monitoring and control devices. PV P represents the output power of the photovoltaic power generation module.TEG is the output power of the thermoelectric conversion module.

[0013] Further, based on the power supply operation mode setting rules, according to the net power and the state of charge of the battery, the operating mode of the power supply system is obtained and the power supply system is controlled to execute this operating mode, including:

[0014] Judge the numerical intervals of the net power and the state of charge of the battery respectively;

[0015] If the net power P net > 0 and the state of charge of the battery 10% < SOC < 90%, the photovoltaic power generation module executes the MPPT control strategy, the thermoelectric conversion module executes the constant power control strategy, and the battery pack executes the droop discharge control strategy;

[0016] If the net power P net > 0 and the state of charge of the battery SOC < 10%, the main power supply is used to supply power to the temperature and humidity monitoring device and the temperature and humidity control device;

[0017] If the net power P net < 0 and the state of charge of the battery 10% < SOC < 90%, the photovoltaic power generation module executes the MPPT control strategy, the thermoelectric conversion module executes the constant power control strategy, and the battery pack executes the droop charging control strategy;

[0018] If the net power P net < 0 and the state of charge of the battery SOC > 90%, both the photovoltaic power generation module and the thermoelectric conversion module adopt the constant voltage control strategy, and the battery pack adopts the constant current charging control strategy.

[0019] Further, the photovoltaic power generation module executing the MPPT control strategy includes:

[0020] Adopt a particle swarm optimization algorithm combined with an inertia weight coefficient, a self-cognition coefficient and a social cognition coefficient to adjust the photovoltaic power generation module so that the photovoltaic power generation module operates at the maximum power point;

[0021] Among them, the inertia weight coefficient is set as a random number obeying a certain random distribution, the self-cognition coefficient is set as a linearly decreasing coefficient, and the social cognition coefficient is set as a linearly increasing coefficient.

[0022] Further, before adopting the particle swarm optimization algorithm combined with the inertia weight coefficient, the self-cognition coefficient and the social cognition coefficient, it also includes:

[0023] Perform the initialization setting of the parameters of the particle swarm optimization algorithm;

[0024] Measure the current voltage and current of each particle, and calculate the photovoltaic output power corresponding to each particle:

[0025] Pj (k)=u j (k)·i j (k);

[0026] Among them, u j (k) represents the current voltage of each particle, i j (k) represents the current of each particle;

[0027] Update particle velocity:

[0028] v j (k+1)=ω·v j (k)+c1·r1·[p j -x j (k)]+c2·r2·[p g -x j (k)];

[0029] Update particle positions:

[0030] x j (k+1)=x j (k)+v j (k+1);

[0031] Where ω is the weight coefficient reflecting the magnitude of the particle's own inertia, c1 and c2 are the weight coefficients reflecting the particle's self-awareness and social awareness respectively, r1 and r2 are random numbers between 0 and 1, and k is the current iteration number.

[0032] Update inertia weight coefficients:

[0033] ω=μ min +(μ max -μ min )·rand()+σ·randn();

[0034] Where, μ min The minimum value of the random inertia weight; μ max ω is the maximum value of the random inertia weight; rand() is a uniformly distributed random number in the range [0, 1]; randn() is a normally distributed random number; σ is the variance, used to measure the degree of deviation between ω and its mean;

[0035] Update self-awareness index:

[0036]

[0037] Updated social cognition coefficient:

[0038]

[0039] Among them, c 1max c1min These represent the maximum and minimum values ​​of the self-awareness weighting coefficient c1, respectively. 2max c 2min These are the maximum and minimum values ​​of the social cognitive ability weight coefficient c2, respectively, and N is the maximum value of the number of iterations.

[0040] Calculate the rate of change of power between two consecutive intervals:

[0041]

[0042] If dP < 0.1%, then the particle swarm optimization algorithm has converged.

[0043] Furthermore, the battery pack implements a droop discharge control strategy, including:

[0044] The battery pack uses the droop factor of the battery's state of charge to control discharge, thereby regulating the battery's discharge voltage.

[0045] The battery pack implements a droop charging control strategy, including:

[0046] The battery pack uses the droop factor of the battery's state of charge to control charging and adjust the battery's charging voltage.

[0047] Furthermore, before the battery pack executes the droop discharge control strategy or the battery pack executes the droop charge control strategy, it also includes:

[0048] The port voltage of the energy storage unit in the battery pack is:

[0049] U i =U ref -I i R i ;

[0050] Among them, U i I is the port voltage of the energy storage unit. i R is the output current of the energy storage unit. i U is the set droop coefficient. ref The set bus reference voltage;

[0051] Define the relationship between the droop factor and the battery state of charge:

[0052]

[0053] Where R0 is the initial droop coefficient and n is the power exponent of the battery's state of charge.

[0054] Furthermore, the temperature and humidity control device includes a ventilation module and a thermoelectric cooling temperature control and dehumidification device;

[0055] The acquisition of ambient temperature and humidity, and the corresponding control of the operation of the temperature and humidity control device based on the temperature and humidity control operation strategy, includes:

[0056] The ambient temperature and humidity are detected by a temperature and humidity detection device; the ambient temperature includes the external ambient temperature and the internal ambient temperature, and the ambient humidity includes the external ambient humidity and the internal ambient humidity.

[0057] Compare the humidity levels of the external and internal environments;

[0058] When the external ambient humidity is lower than the internal ambient humidity, turn on the ventilation module;

[0059] When the external ambient humidity is lower than the internal ambient humidity, or when the internal ambient humidity is higher than the set relative humidity value, the thermoelectric cooling temperature control and dehumidification device will be activated.

[0060] Compare the magnitudes of the external ambient temperature and the internal ambient temperature;

[0061] When the external ambient temperature is lower than the internal ambient temperature, the thermoelectric cooling temperature control and dehumidification device is activated.

[0062] In a second aspect, embodiments of this application also provide an intelligent control system based on power supply and temperature and humidity, including: an intelligent control system, a power supply system, a temperature and humidity monitoring device, and a temperature and humidity control device. The power supply system includes a photovoltaic power generation module, a battery pack, and a thermoelectric conversion module. The intelligent control system is connected to the power supply system, the temperature and humidity monitoring device, and the temperature and humidity control device.

[0063] The intelligent control system acquires the total power load of the temperature and humidity monitoring device and the temperature and humidity control device, the output power of the photovoltaic power generation module, and the output power of the thermoelectric conversion module, and calculates the net power consumption accordingly.

[0064] The intelligent control system acquires the battery state of charge of the battery pack, sets rules based on the power operating mode, obtains the operating mode of the power system according to the net power and the battery state of charge, and controls the power system to execute the operating mode.

[0065] The intelligent control system acquires the ambient temperature and humidity detected by the temperature and humidity monitoring device, and controls the operation of the temperature and humidity control device accordingly based on the temperature and humidity control operation strategy.

[0066] Furthermore, the temperature and humidity control device includes a ventilation module and a thermoelectric cooling temperature control and dehumidification device; the temperature monitoring device includes a self-powered module and an environmental heat generation device, the self-powered module and the environmental heat generation device are connected, and the self-powered module is used to convert the heat energy generated by the environmental heat generation device into electrical energy to power the temperature monitoring device.

[0067] This application embodiment obtains the total power load of the temperature and humidity monitoring device and the temperature and humidity control device, the output power of the photovoltaic power generation module, and the output power of the thermoelectric conversion module, and calculates the net power consumption accordingly; obtains the battery state of charge of the battery pack; based on the power operating mode setting rules, according to the net power and the battery state of charge, obtains the operating mode of the power system and controls the power system to execute the operating mode; obtains the ambient temperature and humidity, and controls the operation of the temperature and humidity control device accordingly based on the temperature and humidity control operation strategy; this application embodiment realizes intelligent automatic control of power supply and temperature and humidity, so as to optimize the use of power supply, save energy, accurately control temperature and humidity, and improve the working efficiency of the system. Attached Figure Description

[0068] Figure 1 This is a flowchart of an intelligent control method based on power supply and temperature and humidity provided in an embodiment of this application;

[0069] Figure 2 This is a schematic diagram of the structure of an intelligent control system based on power supply and temperature and humidity provided in an embodiment of this application;

[0070] Figure 3 This is a flowchart of another intelligent control method based on power supply and temperature and humidity provided in the embodiments of this application;

[0071] Figure 4 This is a diagram illustrating the operating mode of a power system based on an intelligent control method for power supply and temperature / humidity, as provided in an embodiment of this application.

[0072] Figure 5 This is a flowchart of another intelligent control method based on power supply and temperature and humidity provided in the embodiments of this application;

[0073] Figure 6 This is a schematic diagram of the structure of a computer device provided in an embodiment of this application. Detailed Implementation

[0074] To make the objectives, technical solutions, and advantages of this application clearer, specific embodiments of this application will be described in further detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely for explaining this application and not for limiting it. It should also be noted that, for ease of description, only the parts relevant to this application are shown in the drawings, not all of them. Before discussing exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe operations (or steps) as sequential processes, many of these operations can be performed in parallel, concurrently, or simultaneously. Furthermore, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but may also have additional steps not included in the drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, etc.

[0075] This application establishes an intelligent control method based on power supply and temperature and humidity, which solves the problems of existing control methods being unable to achieve intelligent adjustment of temperature and humidity, while consuming a lot of power and causing energy waste.

[0076] The intelligent control method based on power supply and temperature / humidity provided in this embodiment can be executed by an intelligent control system based on power supply and temperature / humidity. This intelligent control system can be implemented through software and / or hardware and integrated into an intelligent control device based on power supply and temperature / humidity. The intelligent control device based on power supply and temperature / humidity can be a computer or similar device.

[0077] Figure 1 This document presents a flowchart illustrating an intelligent control method based on power supply and temperature / humidity, as provided in an embodiment of this application. The intelligent control method based on power supply and temperature / humidity is applied to an intelligent control system; please refer to [link / reference needed]. Figure 2 The intelligent control system includes an intelligent control system, a power supply system, a temperature and humidity monitoring device, and a temperature and humidity control device. The power supply system includes a photovoltaic power generation module, a battery bank, and a thermoelectric conversion module. The intelligent control system connects the power supply system, the temperature and humidity monitoring device, and the temperature and humidity control device. The method includes the following steps:

[0078] Step 110: Obtain the total power load of the temperature and humidity monitoring device and the temperature and humidity control device, the output power of the photovoltaic power generation module, and the output power of the thermoelectric conversion module, and calculate the net power consumption accordingly.

[0079] Optionally, the total power load of the temperature and humidity monitoring device and the temperature and humidity control device, the output power of the photovoltaic power generation module, and the output power of the thermoelectric conversion module are obtained in real time by a power measuring instrument and sent to the intelligent control system. The intelligent control system calculates the net power consumption of the intelligent control system according to the total power load of the temperature and humidity monitoring device and the temperature and humidity control device, the output power of the photovoltaic power generation module, the output power of the thermoelectric conversion module, and the set net power calculation rules.

[0080] In some embodiments, the net power consumption of the intelligent control system is:

[0081] P net =P load -P PV -P TEG ;

[0082] Among them, P load P represents the total electrical load of the temperature and humidity monitoring and control devices. PV P represents the output power of the photovoltaic power generation module. TEG This refers to the output power of the thermoelectric conversion module.

[0083] Understandably, by calculating the net power consumption of the intelligent control system, the power mode or strategy of the photovoltaic power generation module and the thermoelectric conversion module can be adjusted based on the net power consumption, so as to supply power to the temperature and humidity monitoring device and the temperature and humidity control device while saving energy as much as possible.

[0084] Optionally, the photovoltaic power generation module in the power system is designed according to the application scenario and the optimal annual output power is selected. The battery pack is configured with capacity and control strategy according to the load characteristics of the application environment. The thermoelectric conversion module is arranged according to the application scenario and directly converts the thermal energy of the environment and the equipment itself into electrical energy and stores it in the battery pack.

[0085] Step 120: Obtain the battery state of charge of the battery pack.

[0086] Specifically, the battery pack sends the real-time state of charge of the batteries to the intelligent control system, which then adjusts the operation of the power system based on the state of charge of the batteries.

[0087] Step 130: Based on the power supply operating mode setting rules, obtain the operating mode of the power supply system according to the net power and battery state of charge, and control the power supply system to execute the operating mode.

[0088] Specifically, the intelligent control system, based on stored power operating mode setting rules, matches the operating mode of the power system corresponding to the calculated net power and battery state of charge, and sends control signals to the power system, including the photovoltaic power generation module, battery bank, and thermoelectric conversion module. Thus, the photovoltaic power generation module, battery bank, and thermoelectric conversion module execute their respective operating modes according to the control signals, achieving intelligent automatic power regulation, optimizing power use, and saving energy. The power operating mode setting rules can be configured according to specific needs, and this application embodiment does not impose any limitations on this.

[0089] Step 140: Obtain the ambient temperature and humidity, and control the operation of the temperature and humidity control device accordingly based on the temperature and humidity control operation strategy.

[0090] In some embodiments, the temperature and humidity control device includes a ventilation module and a thermoelectric cooling temperature control and dehumidification device. Specifically, the ambient temperature and humidity are detected by the temperature and humidity monitoring device and sent to the intelligent control system. The intelligent control system controls the operation of the ventilation module and the thermoelectric cooling temperature control and dehumidification device according to the stored temperature and humidity control operation strategy, thereby adjusting the ambient temperature and humidity in the space to accurately control the temperature and humidity and improve the working efficiency of the system.

[0091] Based on the above embodiments, Figure 3 A flowchart of another intelligent control method based on power supply and temperature / humidity provided in this application embodiment is given. This intelligent control method based on power supply and temperature / humidity is a concretization of the aforementioned intelligent control method based on power supply and temperature / humidity. (Reference) Figure 3 This intelligent control method based on power supply and temperature / humidity includes:

[0092] 1301. Determine the numerical ranges of net power and battery state of charge respectively.

[0093] Specifically, in this application embodiment, the intelligent control system determines the value range of the net power consumption of the intelligent control system and the state of charge of the battery pack, respectively. According to the storage power working mode setting rules, it determines the operating mode of the power system corresponding to the value range of the net power and the state of charge of the battery, and controls the power system to execute the corresponding operating mode to adjust the power system.

[0094] Optional, please refer to Figure 4 The power system in this application embodiment has four operating modes.

[0095] 1302. If the net power P netWhen >0 and the state of charge of the battery 10% < SOC < 90%, the photovoltaic power generation module executes the MPPT control strategy, the thermoelectric conversion module executes the constant power control strategy, and the battery pack executes the droop discharge control strategy.

[0096] Specifically, at this time, the operating mode of the power supply system is operating mode one, P net >0 indicates that the photovoltaic power generation module and the thermoelectric conversion module are less than the load demand. At this time, the photovoltaic power generation module and the thermoelectric conversion module are kept working at the maximum output power state. Therefore, the photovoltaic power generation module executes the MPPT control strategy, and the thermoelectric conversion module executes the constant power control strategy; the state of charge of the battery pack 10% < SOC < 90%, in the healthy working area (10% < SOC < 90%), so the battery pack executes the droop discharge control strategy.

[0097] In some embodiments, the photovoltaic power generation module executing the MPPT control strategy includes: using a particle swarm optimization algorithm combined with an inertia weight coefficient, a self-awareness coefficient, and a social awareness coefficient to adjust the photovoltaic power generation module so that the photovoltaic power generation module operates at the maximum power point; among them, the inertia weight coefficient is set as a random number obeying a certain random distribution, the self-awareness coefficient is set as a linearly decreasing coefficient, and the social awareness coefficient is set as a linearly increasing coefficient.

[0098] It should be noted that before using the particle swarm optimization algorithm combined with the inertia weight coefficient, the self-awareness coefficient, and the social awareness coefficient, it also includes: optimizing the particle swarm optimization algorithm.

[0099] Specifically, first, initialize the parameters of the particle swarm optimization algorithm. Among them, the parameters of the particle swarm optimization algorithm include: the minimum value of the random inertia weight, the maximum value of the random inertia weight, the variance of the inertia weight coefficient, the maximum and minimum values of the self-awareness ability weight coefficient, the maximum and minimum values of the social awareness ability weight coefficient, and the maximum value of the number of iterations.

[0100] Preferably, the minimum value of the random inertia weight μ min = 0.2, the maximum value of the random inertia weight μ max = 0.9, the variance of the inertia weight coefficient σ = 1, the maximum value of the self-awareness ability weight coefficient c 1max = 2 and the minimum value c 1min = 1, the maximum value of the social awareness ability weight coefficient c 2max = 2 and the minimum value c 2min = 1, the maximum value of the number of iterations N = 30.

[0101] Measure the current voltage and current of each particle, and calculate the photovoltaic output power corresponding to each particle:

[0102] P j (k) = uj (k)·i j (k);

[0103] Among them, u j (k) represents the current voltage of each particle, i j (k) represents the current current of each particle.

[0104] Update particle velocity:

[0105] v j (k+1)=ω·v j (k)+c1·r1·[p j -x j (k)]+c2·r2·[p g -x j (k)];

[0106] Update particle positions:

[0107] x j (k+1)=x j (k)+v j (k+1);

[0108] Where ω is the weight coefficient reflecting the magnitude of the particle's own inertia, c1 and c2 are the weight coefficients reflecting the particle's self-awareness and social awareness respectively, r1 and r2 are random numbers between 0 and 1, and k is the current iteration number.

[0109] Update inertia weight coefficients:

[0110] ω=μ min +(μ max -μ min )·rand()+σ·randn();

[0111] Where, μ min The minimum value of the random inertia weight; μ max ω is the maximum value of random inertia weight; rand() is a uniformly distributed random number in the range [0, 1]; randn() is a normally distributed random number; σ is the variance, used to measure the degree of deviation between ω and its mean; it can be understood that the role of σ is to promote the evolution of ω towards the desired weight direction, based on the fact that under normal circumstances, the experimental error follows a normal distribution.

[0112] Update self-awareness index:

[0113]

[0114] Updated social cognition coefficient:

[0115]

[0116] Among them, c 1max c 1min These represent the maximum and minimum values ​​of the self-awareness weighting coefficient c1, respectively. 2max c 2min These are the maximum and minimum values ​​of the social cognitive ability weight coefficient c2, respectively, and N is the maximum value of the number of iterations.

[0117] Calculate the rate of change of power between two consecutive intervals:

[0118]

[0119] If dP < 0.1%, then the particle swarm optimization algorithm has converged.

[0120] Understandably, the MPPT control strategy uses an improved particle swarm optimization algorithm with improved inertia weight coefficient, self-cognition coefficient, and social cognition coefficient to ensure that the output result of the maximum power point is more accurate, so that the photovoltaic power generation module can operate at the maximum output power.

[0121] In some embodiments, the battery pack implements a droop discharge control strategy, specifically: the battery pack uses a droop coefficient based on the battery's state of charge to control discharge, thereby adjusting the discharge voltage of the battery pack.

[0122] In addition, constant power control strategy is a widely used grid-connected inverter control strategy. Its purpose is to optimize and allocate the command power to each distributed power source according to the maximum power point tracking control so that it can output the corresponding active and reactive power, and its output power does not change with the grid frequency and voltage. When in working mode one, the thermoelectric conversion module executes the constant power control strategy, and the thermoelectric conversion module always maintains the maximum output power state.

[0123] 1303. If the net power P net When the battery's state of charge (SOC) is greater than 0 and less than 10%, the temperature and humidity monitoring and control devices are powered by mains electricity.

[0124] Specifically, at this time, the power system operates in operating mode two, P net If the value is >0, it indicates that the photovoltaic power generation module and the thermoelectric conversion module are less than the load demand. The photovoltaic power generation module will implement the MPPT control strategy, and the thermoelectric conversion module will implement the constant power control strategy. If the state of charge (SOC) of the battery is <10%, it is in the over-discharge range (SOC<10% or SOC>90%), and the mains power will be used directly for power supply.

[0125] 1304. If the net power P netWhen 0 < SOC < 10% or 90% < SOC, the photovoltaic power generation module executes the MPPT control strategy, the thermoelectric conversion module executes the constant power control strategy, and the battery pack executes the droop charging control strategy.

[0126] Specifically, the operating mode of the power supply system at this time is operating mode three, P net <0, indicating that the photovoltaic power generation module and the thermoelectric conversion module are greater than the load demand. The photovoltaic power generation module executes the MPPT control strategy, the thermoelectric conversion module executes the constant power control strategy, and the state of charge of the battery is 10% < SOC < 90%, which is in the healthy working (10% < SOC < 90%) area. That is, the battery pack can fully absorb the redundant power of the microgrid. Therefore, the battery pack executes the droop charging control strategy.

[0127] In some embodiments, the battery pack executes the droop charging control strategy, specifically: the battery pack uses the droop coefficient of the state of charge of the battery for charging control to adjust the charging voltage of the battery pack.

[0128] It can be understood that the battery pack executing the droop control strategy, including the droop discharge control strategy and the droop charging control strategy, both need to optimize the droop parameters first to obtain the functional relationship between the state of charge of the battery pack and the droop coefficient. Optionally, the state of charge of the battery pack and the droop coefficient adopt the calculation method of SOC power exponent, specifically:

[0129] The port voltage of the energy storage unit of the battery pack is:

[0130] U i = U ref - I i R i ;

[0131] Among them, U i is the port voltage of the energy storage unit, I i is the output current of the energy storage unit, R i is the set droop coefficient, and U ref is the set bus reference voltage.

[0132] The relational expression for setting the droop coefficient and the state of charge of the battery:

[0133]

[0134] Among them, R0 is the initial droop coefficient, and n is the power exponent of the state of charge of the battery; optionally, the value of R0 can be set according to specific requirements. Preferably, in the embodiments of the present application, R0 is set to 6. It can be understood that n can also be set according to specific requirements, which can be set as a fixed value or dynamically adjusted during the calculation process.

[0135] 1305. If the net power P net When the battery's state of charge (SOC) is less than 0 and greater than 90%, both the photovoltaic power generation module and the thermoelectric conversion module adopt a constant voltage control strategy, while the battery pack adopts a constant current charging control strategy.

[0136] Specifically, at this time, the power system operates in mode four, P net A value <0 indicates that the photovoltaic (PV) power generation module and thermoelectric conversion module exceed the load demand, and the battery's state of charge (SOC) is >90%, placing it in the overcharge range. Therefore, the battery bank should implement a constant current charging strategy. By controlling the power supply of the battery bank, the output current should be kept constant. The battery bank cannot fully absorb the redundant power of the microgrid, and a large amount of redundant power in the microgrid will cause the bus voltage to rise continuously. Therefore, both the PV power generation module and the thermoelectric conversion module adopt a constant voltage control strategy. By controlling the voltage of the PV power generation module and the thermoelectric conversion module, the PV power generation module and the thermoelectric conversion module can operate at a constant voltage.

[0137] Based on the above embodiments, Figure 5 A flowchart of another intelligent control method based on power supply and temperature / humidity provided in this application embodiment is given. This intelligent control method based on power supply and temperature / humidity is a concretization of the aforementioned intelligent control method based on power supply and temperature / humidity. (Reference) Figure 5 This intelligent control method based on power supply and temperature / humidity includes:

[0138] 1401. Detect the ambient temperature and ambient humidity using a temperature and humidity detection device; wherein, the ambient temperature includes the external ambient temperature and the internal ambient temperature, and the ambient humidity includes the external ambient humidity and the internal ambient humidity.

[0139] Specifically, the external ambient temperature, internal ambient temperature, external ambient humidity, and internal ambient humidity are detected by the temperature and humidity detection device and sent to the intelligent control system. The intelligent control system sends control signals to the temperature and humidity control device based on the received temperature and humidity data to adjust the ambient humidity and ambient temperature in the space, thereby realizing intelligent automatic temperature and humidity control.

[0140] 1402. Compare the humidity levels of the external environment and the internal environment.

[0141] 1403. When the external ambient humidity is lower than the internal ambient humidity, turn on the ventilation module.

[0142] Specifically, the intelligent control system compares the external humidity with the internal humidity. When the external humidity is lower than the internal humidity, it indicates that the internal humidity is too high and ventilation is needed. The system then sends a control signal to the ventilation module to activate the ventilation module and ventilate the space to reduce the humidity.

[0143] 1404. When the external ambient humidity is lower than the internal ambient humidity, and the internal ambient humidity is higher than the set relative humidity value, the thermoelectric cooling temperature control and dehumidification device will be activated.

[0144] It is understood that when the external ambient humidity is lower than the internal ambient humidity, ventilation is not required and the ventilation module does not need to work. At the same time, when the intelligent control system detects that the internal ambient humidity is higher than the set relative humidity value, it sends a control signal to control the thermoelectric cooling temperature control and dehumidification device to start and dehumidify. The set relative humidity value can be set according to specific usage requirements. This application embodiment does not limit the specific value of the set relative humidity value.

[0145] 1405. Compare the magnitudes of the external ambient temperature and the internal ambient temperature.

[0146] 1406. When the external ambient temperature is lower than the internal ambient temperature, start the thermoelectric cooling temperature control and dehumidification device.

[0147] Specifically, the intelligent control system compares the external ambient temperature with the internal ambient temperature. When the external ambient temperature is lower than the internal ambient temperature, it indicates that the internal ambient temperature is too high and needs to be cooled down. The intelligent control system then sends a control signal to the thermoelectric cooling temperature control and dehumidification device to activate the device and cool the space to lower the temperature and achieve temperature control.

[0148] Understandably, when the external ambient temperature is higher than the internal ambient temperature, there is no need for cooling, and the thermoelectric cooling temperature control and dehumidification device does not need to work.

[0149] Based on the above embodiments, please refer to Figure 2 This application provides an intelligent control system based on power supply and temperature and humidity. The intelligent control system based on power supply and temperature and humidity specifically includes: an intelligent control system, a power supply system, a temperature and humidity monitoring device, and a temperature and humidity control device. The power supply system includes a photovoltaic power generation module, a battery pack, and a thermoelectric conversion module. The intelligent control system is connected to the power supply system, the temperature and humidity monitoring device, and the temperature and humidity control device.

[0150] The intelligent control system acquires the total power load of the temperature and humidity monitoring device and the temperature and humidity control device, the output power of the photovoltaic power generation module, and the output power of the thermoelectric conversion module, and calculates the net power consumption accordingly. The intelligent control system acquires the state of charge of the battery pack, sets power operating mode rules, and determines the operating mode of the power system based on the net power and the battery state of charge, and controls the power system to execute this operating mode. The intelligent control system acquires the ambient temperature and humidity detected by the temperature and humidity monitoring device, and controls the operation of the temperature and humidity control device accordingly based on the temperature and humidity control operation strategy.

[0151] Understandably, the photovoltaic power generation modules in the power system are designed according to the application scenario and the optimal annual output power. The battery pack is configured with capacity and control strategy according to the load characteristics of the application environment. The thermoelectric conversion module is arranged according to the application scenario and directly converts the thermal energy of the environment and the equipment itself into electrical energy and stores it in the battery pack.

[0152] In some embodiments, the temperature and humidity control device includes a ventilation module and a thermoelectric cooling temperature control and dehumidification device; the temperature monitoring device includes a self-powered module and an environmental heat generation device, the self-powered module and the environmental heat generation device are connected, and the self-powered module is used to convert the heat energy generated by the environmental heat generation device into electrical energy to power the temperature monitoring device.

[0153] Understandably, the self-powered module is based on thermoelectric conversion technology, which directly converts the heat energy of the equipment body into electrical energy. The purpose is to recover energy, which not only recovers electrical energy but also reduces the temperature of the equipment and improves its operating performance. As long as the equipment generates heat, the self-powered module will output electrical energy, which will be used to power the temperature monitoring device first. If the self-powered module does not generate electrical energy, it will power the temperature monitoring device through the power system or the mains power.

[0154] As environmental heat sources are widely distributed, this application provides an original environmental heat energy harvesting solution, which combines available heat sources, power management, and ease of installation. It enables continuous charging and storage of electricity and stable output of 2.4 to 5V power at a temperature difference of only 3°C, meeting the core needs of the development of passive Internet of Things (no wiring and no battery replacement).

[0155] The above-mentioned methods include: obtaining the total power load of the temperature and humidity monitoring device and the temperature and humidity control device, the output power of the photovoltaic power generation module, and the output power of the thermoelectric conversion module, and calculating the net power consumption accordingly; obtaining the battery state of charge of the battery pack; obtaining the operating mode of the power system based on the power operating mode setting rules, according to the net power and the battery state of charge, and controlling the power system to execute the operating mode; obtaining the ambient temperature and humidity, and controlling the operation of the temperature and humidity control device accordingly based on the temperature and humidity control operation strategy; and realizing intelligent automatic control of power supply and temperature and humidity, thereby optimizing the use of power supply, saving energy, accurately controlling temperature and humidity, and improving the working efficiency of the system.

[0156] The intelligent control system based on power supply and temperature and humidity provided in this application embodiment can be used to execute the intelligent control method based on power supply and temperature and humidity provided in the above embodiment, and has corresponding functions and beneficial effects.

[0157] This application also provides a computer device that can integrate the intelligent control system based on power supply and temperature and humidity provided in this application. Figure 6 This is a schematic diagram of the structure of a computer device provided in an embodiment of this application. (Reference) Figure 6 The computer device includes an input device 63, an output device 64, a memory 62, and one or more processors 61. The memory 62 stores one or more programs. When the one or more programs are executed by the one or more processors 61, the one or more processors 61 implement the intelligent control method based on power supply and temperature / humidity provided in the above embodiments. The input device 63, output device 64, memory 62, and processors 61 can be connected via a bus or other means. Figure 6 Taking the example of a connection between China and Israel via a bus.

[0158] The processor 61 executes various functional applications and data processing of the device by running software programs, instructions and modules stored in the memory 62, thereby realizing the above-mentioned intelligent control method based on power supply and temperature and humidity.

[0159] The computer equipment provided above can be used to execute the intelligent control method based on power supply and temperature and humidity provided in the above embodiments, and has corresponding functions and beneficial effects.

[0160] This application embodiment also provides a storage medium containing computer-executable instructions. When executed by a computer processor, the computer-executable instructions are used to execute an intelligent control method based on power supply and temperature and humidity. The intelligent control method based on power supply and temperature and humidity includes: acquiring the total power load of the temperature and humidity monitoring device and the temperature and humidity control device, the output power of the photovoltaic power generation module, and the output power of the thermoelectric conversion module, and calculating the net power consumption accordingly; acquiring the battery state of charge of the battery pack; based on the power supply operating mode setting rules, obtaining the operating mode of the power system according to the net power and the battery state of charge, and controlling the power system to execute the operating mode; acquiring the ambient temperature and ambient humidity, and controlling the operation of the temperature and humidity control device accordingly based on the temperature and humidity control operation strategy.

[0161] Storage medium – any type of memory device or storage device. The term “storage medium” is intended to include: mounting media, such as CD-ROM, floppy disk, or magnetic tape devices; computer device memory or random access memory, such as DRAM, DDRRAM, SRAM, EDORAM, Rambus RAM, etc.; non-volatile memory, such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc. Storage medium may also include other types of memory or combinations thereof. Additionally, storage medium may reside in a first computer device in which a program is executed, or it may reside in a different second computer device connected to the first computer device via a network (such as the Internet). The second computer device may provide program instructions to the first computer for execution. The term “storage medium” may include two or more storage media that may reside in different locations (e.g., in different computer devices connected via a network). Storage medium may store program instructions (e.g., specifically implemented as a computer program) executable by one or more processors.

[0162] Of course, the computer-executable instructions provided in the embodiments of this application are not limited to the intelligent control method based on power and temperature and humidity as described above, but can also execute related operations in the intelligent control method based on power and temperature and humidity provided in any embodiment of this application.

[0163] The intelligent control system, storage medium, and computer equipment based on power supply and temperature and humidity provided in the above embodiments can execute the intelligent control method based on power supply and temperature and humidity provided in any embodiment of this application. For technical details not described in detail in the above embodiments, please refer to the intelligent control method based on power supply and temperature and humidity provided in any embodiment of this application.

[0164] The above description is merely a preferred embodiment and the technical principles employed in this application. This application is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions that can be made by those skilled in the art will not depart from the scope of protection of this application. Therefore, although this application has been described in detail through the above embodiments, this application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of this application, the scope of which is determined by the scope of the claims.

Claims

1. An intelligent control method based on power supply and temperature / humidity, characterized in that, The method includes the following steps: Obtain the total power load of the temperature and humidity monitoring device and the temperature and humidity control device, the output power of the photovoltaic power generation module, and the output power of the thermoelectric conversion module, and calculate the net power consumption accordingly; Obtain the state of charge of the battery pack; Based on the power operating mode setting rules, the operating mode of the power system is obtained according to the net power and the battery state of charge, and the power system is controlled to execute the operating mode. The ambient temperature and humidity are acquired, and the operation of the temperature and humidity control device is controlled accordingly based on the temperature and humidity control operation strategy. The net power consumption for calculation includes: The net power consumption of the intelligent control system is: P net =P load -P PV -P TEG ; Where Pload is the total power load of the temperature and humidity monitoring device and the temperature and humidity control device, PPV is the output power of the photovoltaic power generation module, and PTEG is the output power of the thermoelectric conversion module. The power supply operating mode setting rules, based on net power and battery state of charge, determine the operating mode of the power system and control the power system to execute that operating mode, including: Determine the numerical ranges for net power and battery state of charge, respectively; If the net power P net > 0 and the state of charge of the battery is 10% <SOC <90%, the photovoltaic power generation module executes the MPPT control strategy, the thermoelectric conversion module executes the constant power control strategy, and the battery pack executes the droop discharge control strategy; If the net power P net When the battery's state of charge (SOC) is greater than 0 and less than 10%, the temperature and humidity monitoring device and the temperature and humidity control device are powered by mains power. If the net power P net < 0 and when the state of charge of the battery is 10% < SOC < 90%, the photovoltaic power generation module executes the MPPT control strategy, the thermoelectric conversion module executes the constant power control strategy, and the battery pack executes the droop charging control strategy; If the net power P net When the battery's state of charge (SOC) is less than 0 and greater than 90%, both the photovoltaic power generation module and the thermoelectric conversion module adopt a constant voltage control strategy, while the battery pack adopts a constant current charging control strategy.

2. The intelligent control method based on power supply and temperature / humidity according to claim 1, characterized in that, The photovoltaic power generation module implements the MPPT control strategy, including: A particle swarm optimization algorithm based on a combination of inertia weight coefficient, self-cognition coefficient, and social cognition coefficient is used to adjust the photovoltaic power generation module so that the photovoltaic power generation module operates at the maximum power point. Among them, the inertia weight coefficient is set to a random number that follows a certain random distribution, the self-cognition coefficient is set to a linearly decreasing coefficient, and the social cognition coefficient is set to a linearly increasing coefficient.

3. The intelligent control method based on power supply and temperature / humidity according to claim 2, characterized in that, Before employing the particle swarm optimization algorithm based on a combination of inertia weight coefficient, self-awareness coefficient, and social awareness coefficient, the algorithm also includes: Initialize the parameters of the particle swarm optimization algorithm; Measure the current voltage and current of each particle, and calculate the photovoltaic output power corresponding to each particle: P j (k)=u j (k)·i j (k); Among them, u j (k) represents the current voltage of each particle, i j (k) represents the current of each particle; Update particle velocity: ； Update particle positions: ； Where ω is a weighting coefficient reflecting the magnitude of the particle's own inertia. , These are weighting coefficients reflecting the particle's self-awareness and social awareness, respectively. , All numbers are random numbers between 0 and 1, and k is the current iteration number; Update inertia weight coefficients: ； in, This represents the minimum value of the random inertia weight. This represents the maximum value of the random inertia weight. A uniformly distributed random number within the range [0,1]. These are normally distributed random numbers. Variance is used to measure... The degree of deviation from its mean; Update self-awareness index: ； Updated social cognition coefficient: ； in, , These are the weighting coefficients of self-awareness ability. The maximum and minimum values, , These are the weighting coefficients of social cognitive ability. The maximum and minimum values, where N is the maximum value of the number of iterations; Calculate the rate of change of power between two consecutive intervals: ； If dP < 0.1%, then the particle swarm optimization algorithm has converged.

4. The intelligent control method based on power supply and temperature / humidity according to claim 1, characterized in that, The battery pack implements a droop discharge control strategy, including: The battery pack uses the droop factor of the battery's state of charge to control discharge, thereby regulating the battery's discharge voltage. The battery pack implements a droop charging control strategy, including: The battery pack uses the droop factor of the battery's state of charge to control charging and adjust the battery's charging voltage.

5. The intelligent control method based on power supply and temperature / humidity according to claim 4, characterized in that, Before the battery pack executes the droop discharge control strategy, or before the battery pack executes the droop charge control strategy, the following method is also included: The port voltage of the energy storage unit in the battery pack is: ； in, This refers to the port voltage of the energy storage unit. The output current of the energy storage unit. The set droop coefficient, The set bus reference voltage; Define the relationship between the droop factor and the battery state of charge: ； in, is the initial droop coefficient, and n is the power exponent of the battery's state of charge.

6. The intelligent control method based on power supply and temperature / humidity according to claim 1, characterized in that, The temperature and humidity control device includes a ventilation module and a thermoelectric cooling temperature control and dehumidification device. The acquisition of ambient temperature and humidity, and the corresponding control of the operation of the temperature and humidity control device based on the temperature and humidity control operation strategy, includes: The ambient temperature and humidity are detected by a temperature and humidity detection device; the ambient temperature includes the external ambient temperature and the internal ambient temperature, and the ambient humidity includes the external ambient humidity and the internal ambient humidity. Compare the humidity levels of the external and internal environments; When the external ambient humidity is lower than the internal ambient humidity, turn on the ventilation module; When the external ambient humidity is lower than the internal ambient humidity, or when the internal ambient humidity is higher than the set relative humidity value, the thermoelectric cooling temperature control and dehumidification device will be activated. Compare the magnitudes of the external ambient temperature and the internal ambient temperature; When the external ambient temperature is lower than the internal ambient temperature, the thermoelectric cooling temperature control and dehumidification device is activated.

7. An intelligent control system based on power supply and temperature / humidity, characterized in that, include: The system includes an intelligent control system, a power supply system, a temperature and humidity monitoring device, and a temperature and humidity control device. The power supply system includes a photovoltaic power generation module, a battery pack, and a thermoelectric conversion module. The intelligent control system connects the power supply system, the temperature and humidity monitoring device, and the temperature and humidity control device. The intelligent control system acquires the total power load of the temperature and humidity monitoring device and the temperature and humidity control device, the output power of the photovoltaic power generation module, and the output power of the thermoelectric conversion module, and calculates the net power consumption accordingly. The intelligent control system acquires the battery state of charge of the battery pack, sets rules based on the power operating mode, obtains the operating mode of the power system according to the net power and the battery state of charge, and controls the power system to execute the operating mode. The intelligent control system acquires the ambient temperature and humidity detected by the temperature and humidity monitoring device, and controls the operation of the temperature and humidity control device accordingly based on the temperature and humidity control operation strategy. The net power consumption for calculation includes: The net power consumption of the intelligent control system is: P net =P load -P PV -P TEG ; Where Pload is the total power load of the temperature and humidity monitoring device and the temperature and humidity control device, PPV is the output power of the photovoltaic power generation module, and PTEG is the output power of the thermoelectric conversion module. The power supply operating mode setting rules, based on net power and battery state of charge, determine the operating mode of the power system and control the power system to execute that operating mode, including: Determine the numerical ranges for net power and battery state of charge, respectively; If the net power P net > 0 and when the state of charge of the battery is 10% < SOC < 90%, the photovoltaic power generation module executes the MPPT control strategy, the thermoelectric conversion module executes the constant power control strategy, and the battery pack executes the droop discharge control strategy; If the net power P net When the battery's state of charge (SOC) is greater than 0 and less than 10%, the temperature and humidity monitoring device and the temperature and humidity control device are powered by mains power. If the net power P net <0 and when the state of charge of the battery is 10% < SOC < 90%, the photovoltaic power generation module executes the MPPT control strategy, the thermoelectric conversion module executes the constant power control strategy, and the battery pack executes the droop charging control strategy; If the net power P net When the battery's state of charge (SOC) is less than 0 and greater than 90%, both the photovoltaic power generation module and the thermoelectric conversion module adopt a constant voltage control strategy, while the battery pack adopts a constant current charging control strategy.

8. The intelligent control method based on power supply and temperature / humidity according to claim 7, characterized in that, The temperature and humidity control device includes a ventilation module and a thermoelectric cooling temperature control and dehumidification device; the temperature monitoring device includes a self-powered module and an environmental heat generation device, the self-powered module and the environmental heat generation device are connected, and the self-powered module is used to convert the heat energy generated by the environmental heat generation device into electrical energy to power the temperature monitoring device.

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