Intelligent regulation and control method and system for power distribution environment, and medium

Abstract

The invention relates to a power distribution environment intelligent regulation and control method and system and a medium. The system is composed of an environment monitoring module, a regulation and control module, an intelligent algorithm module and an early warning module. The current temperature T and humidity H data are obtained in real time through the system and compared with the set target temperature Ttarget and the set target humidity Htarget, it is ensured that the environment condition is within the safety range, the system can dynamically adjust the running state of the fan according to the current environment condition through the adjusting expression of the fan rotating speed Nf and the air volume Qf so as to adapt to the changing temperature and humidity, and the safety of the system is improved. The beneficial effect of dehumidification and condensation prevention of the distribution room through real-time monitoring is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of power distribution network optimization, and specifically to a method, system and medium for intelligent control of a power distribution environment. Background Art

[0002] The internal and external environment of an existing facility is crucial to its operational stability and safety. The ideal construction environment should meet requirements such as good ventilation, effective heat dissipation, and protection from water, moisture, and small animals.

[0003] However, in reality, some existing rooms (institutes) may have problems such as poor ventilation, poor heat dissipation, and inadequate waterproofing due to age, low design standards, or insufficient maintenance. These problems not only affect the normal operation of equipment but may also pose safety risks. Summary of the Invention

[0004] In response to the shortcomings of the existing technology, the present invention provides a method, system and medium for intelligent control of the power distribution environment, which has the advantages of real-time monitoring of dehumidification and anti-condensation in the distribution room, and adjusting the ventilation intensity according to the temperature to avoid high-temperature failures in the distribution station, thereby solving the problems of the above-mentioned technology.

[0005] Technical solution:

[0006] To achieve the above objectives, in a first aspect, an embodiment of the present application provides an intelligent control system for a power distribution environment, the system comprising an environment monitoring module, a regulation control module, an intelligent algorithm module, and an early warning module;

[0007] The environmental monitoring module is used to monitor indoor temperature and humidity in real time, detect dust and other harmful substances in the indoor air, detect condensation, and transmit data to the regulation and control module;

[0008] The regulation control module is used to automatically adjust the fan speed and air volume according to real-time temperature and humidity data, automatically start and stop the dehumidification equipment, adjust the humidity level to prevent condensation, and automatically turn on the heating equipment when the temperature is too low to prevent ice and equipment damage;

[0009] The intelligent algorithm module is used to analyze historical data, predict potential problems, and provide optimization suggestions. It automatically adjusts ventilation and dehumidification parameters based on real-time data to ensure the optimal environment.

[0010] The warning module is used to automatically issue an alarm and notify relevant personnel when the temperature and humidity exceed the set range;

[0011] The environmental monitoring module consists of a temperature and humidity sensor, an air quality sensor, and a condensation sensor.

[0012] Preferably, the temperature measurement expression in the environmental monitoring module is:

[0013] T=k T *S T +b T

[0014] Where: T is the indoor temperature; S T is the original signal of the temperature sensor; k T is the calibration coefficient of the temperature sensor; b T is the offset of the temperature sensor;

[0015] The humidity measurement expression is: H = k H *S H +b H

[0016] Where: H is the indoor humidity; S H is the original signal of the humidity sensor; k H is the calibration coefficient of the humidity sensor; b H is the humidity sensor offset.

[0017] Preferably, the dust concentration measurement expression in the environmental monitoring module is:

[0018] D=k D *S D +b D

[0019] Where: D is the dust concentration; S D is the original signal of the dust sensor; k D is the calibration coefficient of the dust sensor; b D is the offset of the dust sensor;

[0020] The expression for measuring the concentration of harmful substances is:

[0021] C=k C *S C +b C

[0022] Where: C is the concentration of harmful substances; S C is the original signal of the harmful substance sensor; k C is the calibration factor of the hazardous substance sensor; b C is the offset of the hazardous material sensor;

[0023] The condensation phenomenon detection expression is:

[0024]

[0025] Condensation is the detection result of condensation phenomenon: 1 means there is condensation, 0 means there is no condensation; Tdew is the dew point temperature; H dew is the dew point humidity.

[0026] Preferably, the fan speed expression in the regulating control module is:

[0027] N f =k N *(T target -T)+b N

[0028] Where: N f is the fan speed; T target is the target temperature; T is the current temperature; k N is the adjustment coefficient of the fan speed; b N is the offset of the fan speed;

[0029] The air volume expression is:

[0030] Q f =k Q *(H target -H)+b Q

[0031] Where: Q f is the air volume of the fan; H tar get is the target humidity; H is the current humidity; k Q is the adjustment coefficient of air volume; b Q is the offset of the air volume.

[0032] Preferably, the dehumidification equipment control expression in the regulation control module is:

[0033]

[0034] Where: D dehumidifier It is the control status of the dehumidification equipment: 1 means on, 0 means off; H is the current humidity; H set is the set humidity threshold;

[0035] The humidity adjustment expression in the adjustment control module is:

[0036]

[0037] Among them: H adjust is the humidity adjustment amount; H current is the current humidity; H tar get is the target humidity; is the humidity adjustment factor.

[0038] Preferably, the problem prediction model expression in the intelligent algorithm module is:

[0039] P=f(H history ,T history ,D history ,C history )

[0040] Where: P is the predicted potential problem level; H history is the historical humidity data; T history is the historical temperature data; D history is the historical dust concentration data; C history is the historical hazardous substance concentration data; f is the prediction model function, which is a regression model or a time series model.

[0041] Preferably, the optimization suggestion expression in the intelligent algorithm module is:

[0042] Suggestion=g(P,T current ,H current ,D current ,C current )

[0043] Among them: Suggestion is the optimization suggestion: the suggestion of adjusting parameters; P is the predicted value of potential problems; T current is the current temperature; H current is the current humidity; D current is the current dust concentration; C current is the current concentration of hazardous substances; g is the optimization suggestion generation function, which provides adjustment suggestions based on the prediction results and current data;

[0044] The ventilation adjustment expression is:

[0045]

[0046] Where: N f is the fan speed; T target is the target temperature; T current is the current temperature; is the adjustment factor of the fan speed; is the fan speed offset.

[0047] Preferably, the dehumidification parameter adjustment expression in the intelligent algorithm module is:

[0048]

[0049] Among them: H adjust is the humidity adjustment amount; H current is the current humidity; H target is the target humidity; is the humidity adjustment factor; is the humidity adjustment offset.

[0050] Preferably, the temperature and humidity warning expression in the warning module is:

[0051]

[0052] Among them: Alert is the warning status: 1 means the alarm is issued, 0 means no alarm is issued; T is the current temperature; H is the current humidity; T min and T max It is the lower and upper limit of the temperature setting range; H min and H max These are the lower and upper limits of the humidity setting range.

[0053] In a second aspect, an embodiment of the present application provides a method for intelligently controlling a power distribution environment, comprising the following steps:

[0054] Step 1: Environmental monitoring: Real-time monitoring of indoor temperature, humidity, dust and harmful substances, monitoring of condensation, and transmission of data to the regulation and control module;

[0055] Step 2: Adjustment and control: Automatically adjust the fan speed and air volume according to real-time data, automatically start and stop the dehumidification equipment to prevent condensation, and automatically turn on the heating equipment at low temperatures to prevent freezing;

[0056] Step 3: Intelligent algorithm analysis: Analyze historical data, predict potential problems, and automatically adjust ventilation and dehumidification parameters to maintain the optimal environment;

[0057] Step 4. Early warning mechanism: When the temperature and humidity exceed the set range, an alarm will be automatically issued and relevant personnel will be notified.

[0058] In a third aspect, an embodiment of the present application provides a computer-readable storage medium, which stores program code. When the program code is executed by a processor, the steps of the intelligent control method for the power distribution environment are implemented as described above.

[0059] Compared with the prior art, the present invention has the following beneficial effects:

[0060] 1. The present invention obtains the current temperature T and humidity H data in real time through the system, and compares them with the set target temperature T target and target humidity H target Compare to ensure that the environmental conditions are within the safe range, fan speed N f and air volume Q f The regulation expression enables the system to dynamically adjust the operating state of the fan according to the current environmental conditions to adapt to the changing temperature and humidity. Dynamic regulation helps to quickly respond to environmental changes and prevent condensation. The control expression of the dehumidification equipment is D dehumidifierEnsure that the dehumidification equipment is automatically turned on when the humidity exceeds the set threshold, thereby effectively reducing the indoor humidity and preventing condensation. The humidity adjustment amount H adjust The calculation enables the system to make appropriate humidity adjustments based on the difference between the current humidity and the target humidity, further optimizing the environmental conditions and achieving the beneficial effect of real-time monitoring on dehumidification and anti-condensation in the distribution room.

[0061] 2. The present invention monitors the current temperature T in real time through the system current and the target temperature T target For comparison, the expression N is adjusted by ventilation f , the system can dynamically adjust the fan speed N according to the difference between the current temperature and the target temperature f When the current temperature is higher than the target temperature, the fan speed will increase, thereby increasing the ventilation intensity and helping to lower the indoor temperature, adjusting the coefficient and offset The setting makes the adjustment of ventilation intensity more flexible and accurate. The system can optimize the ventilation strategy according to actual conditions to ensure sufficient cooling effect under high temperature conditions. The temperature and humidity warning expression Alert can issue an alarm when the temperature exceeds the set maximum value, reminding managers to take timely measures. This warning mechanism helps to prevent the occurrence of high-temperature faults and achieves the beneficial effect of adjusting the ventilation intensity according to the temperature to avoid high-temperature faults in the distribution station. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 It is a structural schematic diagram of the present invention. DETAILED DESCRIPTION

[0063] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0064] See also Figure 1 , a power distribution environment intelligent control system, the system consists of an environmental monitoring module, a regulation control module, an intelligent algorithm module and an early warning module;

[0065] The environmental monitoring module is used to monitor indoor temperature and humidity in real time, detect dust and other harmful substances in the indoor air, detect condensation, and transmit data to the regulation and control module;

[0066] The regulation control module is used to automatically adjust the fan speed and air volume according to real-time temperature and humidity data, automatically start and stop the dehumidification equipment, adjust the humidity level to prevent condensation, and automatically turn on the heating equipment when the temperature is too low to prevent ice and equipment damage;

[0067] The intelligent algorithm module is used to analyze historical data, predict potential problems, and provide optimization suggestions. It automatically adjusts ventilation and dehumidification parameters based on real-time data to ensure the optimal environment.

[0068] The warning module is used to automatically issue an alarm and notify relevant personnel when the temperature and humidity exceed the set range;

[0069] The environmental monitoring module is composed of a temperature and humidity sensor, an air quality sensor, and a condensation sensor. Preferably, the temperature measurement expression in the environmental monitoring module is:

[0070] T=k T *S T +b T

[0071] Where: T is the indoor temperature; S T is the original signal of the temperature sensor; k T is the calibration coefficient of the temperature sensor; b T is the offset of the temperature sensor;

[0072] The humidity measurement expression is:

[0073] H=k H *S H +b H

[0074] Where: H is the indoor humidity; S H is the original signal of the humidity sensor; k H is the calibration coefficient of the humidity sensor; b H is the humidity sensor offset.

[0075] Preferably, the dust concentration measurement expression in the environmental monitoring module is:

[0076] D=k D *S D +b D

[0077] Where: D is the dust concentration; S D is the original signal of the dust sensor; k D is the calibration coefficient of the dust sensor; b D is the offset of the dust sensor;

[0078] The expression for measuring the concentration of harmful substances is:

[0079] C=k C *S C +b C

[0080] Where: C is the concentration of harmful substances; S C is the original signal of the harmful substance sensor; k C is the calibration factor of the hazardous substance sensor; b C is the offset of the hazardous material sensor;

[0081] The condensation phenomenon detection expression is:

[0082]

[0083] Condensation is the detection result of condensation phenomenon: 1 means there is condensation, 0 means there is no condensation; T dew is the dew point temperature; H dew is the dew point humidity.

[0084] Preferably, the fan speed expression in the regulating control module is:

[0085] N f =k N *(T tar get -T)+b N

[0086] Where: N f is the fan speed; T tar get is the target temperature; T is the current temperature; k N is the adjustment coefficient of the fan speed; b N is the offset of the fan speed;

[0087] The air volume expression is:

[0088] Q f =k Q *(H target -H)+b Q

[0089] Where: Q f is the air volume of the fan; H tar get is the target humidity; H is the current humidity; k Q is the adjustment coefficient of air volume; b Q is the offset of the air volume.

[0090] Preferably, the dehumidification equipment control expression in the regulation control module is:

[0091]

[0092] Where: D dehumidifier It is the control status of the dehumidification equipment: 1 means on, 0 means off; H is the current humidity; H set is the set humidity threshold;

[0093] The humidity adjustment expression in the adjustment control module is:

[0094]

[0095] Among them: H adjust is the humidity adjustment amount; H current is the current humidity; H target is the target humidity; is the humidity adjustment factor.

[0096] Preferably, the problem prediction model expression in the intelligent algorithm module is:

[0097] P=f(H history ,T history ,D history ,C history )

[0098] Where: P is the predicted potential problem level; H history is the historical humidity data; T history is the historical temperature data; D history is the historical dust concentration data; C history is the historical hazardous substance concentration data; f is the prediction model function, which is a regression model or a time series model.

[0099] Preferably, the optimization suggestion expression in the intelligent algorithm module is:

[0100] Suggestion=g(P,T current ,Hc urrent ,D current ,C current )

[0101] Among them: Suggestion is the optimization suggestion: the suggestion of adjusting parameters; P is the predicted value of potential problems; T current is the current temperature; H current is the current humidity; D current is the current dust concentration; C current is the current concentration of hazardous substances; g is the optimization suggestion generation function, which provides adjustment suggestions based on the prediction results and current data;

[0102] The ventilation adjustment expression is:

[0103]

[0104] Where: Nf is the fan speed; T target is the target temperature; T current is the current temperature; is the adjustment factor of the fan speed; is the fan speed offset.

[0105] Preferably, the dehumidification parameter adjustment expression in the intelligent algorithm module is:

[0106]

[0107] Among them: H adjust is the humidity adjustment amount; H current is the current humidity; H target is the target humidity; is the humidity adjustment factor; is the humidity adjustment offset.

[0108] Preferably, the temperature and humidity warning expression in the warning module is:

[0109]

[0110] Among them: Alert is the warning status: 1 means the alarm is issued, 0 means no alarm is issued; T is the current temperature; H is the current humidity; T min and T max It is the lower and upper limit of the temperature setting range; H min and H max These are the lower and upper limits of the humidity setting range.

[0111] By obtaining the current temperature T and humidity H data in real time, and comparing it with the set target temperature T target and target humidity H target Compare to ensure that the environmental conditions are within the safe range, fan speed N f and air volume Q f The regulation expression enables the system to dynamically adjust the operating state of the fan according to the current environmental conditions to adapt to the changing temperature and humidity. This dynamic regulation helps to quickly respond to environmental changes and prevent condensation. The control expression of the dehumidification equipment is D dehumidifier Ensure that the dehumidification equipment is automatically turned on when the humidity exceeds the set threshold, thereby effectively reducing the indoor humidity and preventing condensation. The humidity adjustment amount H adjust The calculation enables the system to make appropriate humidity adjustments based on the difference between the current humidity and the target humidity.

[0112] Monitor the current temperature T in real time through the system current and the target temperature T target For comparison, the expression N is adjusted by ventilation f, the system can dynamically adjust the fan speed N according to the difference between the current temperature and the target temperature f When the current temperature is higher than the target temperature, the fan speed will increase, thereby increasing the ventilation intensity and helping to lower the indoor temperature, adjusting the coefficient and offset The setting makes the adjustment of ventilation intensity more flexible and accurate. The system can optimize the ventilation strategy according to the actual situation to ensure sufficient cooling effect under high temperature conditions. The temperature and humidity warning expression Alert can issue an alarm when the temperature exceeds the set maximum value, reminding managers to take timely measures. This warning mechanism helps prevent high temperature failures

[0113] The present invention provides a method for intelligently controlling a power distribution environment, including the following steps:

[0114] Step 1: Environmental monitoring: Real-time monitoring of indoor temperature, humidity, dust and harmful substances, monitoring of condensation, and transmission of data to the regulation and control module;

[0115] Step 2: Adjustment and control: Automatically adjust the fan speed and air volume according to real-time data, automatically start and stop the dehumidification equipment to prevent condensation, and automatically turn on the heating equipment at low temperatures to prevent freezing;

[0116] Step 3: Intelligent algorithm analysis: Analyze historical data, predict potential problems, and automatically adjust ventilation and dehumidification parameters to maintain the optimal environment;

[0117] Step 4. Early warning mechanism: When the temperature and humidity exceed the set range, an alarm will be automatically issued and relevant personnel will be notified.

[0118] An embodiment of the present application also provides a computer-readable storage medium, which stores program code. When the program code is executed by a processor, the steps of the intelligent control method for the power distribution environment are implemented as described above.

[0119] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0120] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0121] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0122] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0123] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0124] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0125] Computer-readable media includes permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0126] The above description is merely an embodiment of the present application and is not intended to limit the scope of protection of the present application. For those skilled in the art, various modifications and variations of the present application are possible. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

Claims

1. A power distribution environment intelligent control system, characterized in that: The system consists of an environmental monitoring module, a regulation and control module, an intelligent algorithm module and an early warning module; The environmental monitoring module is used to monitor indoor temperature and humidity in real time, detect dust and other harmful substances in the indoor air, detect condensation, and transmit data to the regulation control module; The regulation control module is used to automatically adjust the speed and air volume of the fan according to the real-time temperature and humidity data, automatically start and stop the dehumidification equipment, adjust the humidity level to prevent condensation, and automatically turn on the heating equipment when the temperature is too low to prevent icing and equipment damage; The intelligent algorithm module is used to analyze historical data, predict potential problems, and provide optimization suggestions, automatically adjusting ventilation and dehumidification parameters based on real-time data to ensure the best state of the environment; The warning module is used to automatically send out an alarm and notify relevant personnel when the temperature and humidity exceed the set range; The environmental monitoring module is composed of a temperature and humidity sensor, an air quality sensor and a condensation sensor.

2. The intelligent control system for power distribution environment according to claim 1, characterized in that: The temperature measurement expression in the environmental monitoring module is: T=k T *S T +b T Where: T is the indoor temperature; S T is the original signal of the temperature sensor; k T is the calibration coefficient of the temperature sensor; b T is the offset of the temperature sensor; The humidity measurement expression is: H=k H *S H +b H Where: H is the indoor humidity; S H is the original signal of the humidity sensor; k H is the calibration factor of the humidity sensor; b H is the humidity sensor offset.

3. The intelligent control system for power distribution environment according to claim 2 is characterized in that: The dust concentration measurement expression in the environmental monitoring module is: D=k D *S D +b D Where: D is the dust concentration; S D is the original signal of the dust sensor; k D is the calibration coefficient of the dust sensor; b D is the offset of the dust sensor; The expression for measuring the concentration of harmful substances is: C=k C *S C +b C Where: C is the concentration of harmful substances; S C is the original signal of the harmful substance sensor; k C is the calibration factor of the hazardous substance sensor; b C is the offset of the hazardous material sensor; The condensation phenomenon detection expression is: Where: Condensation is the detection result of condensation phenomenon: 1 means the presence of condensation, 0 means the absence of condensation; T dew is the dew point temperature; H dew is the dew point humidity.

4. The intelligent control system for power distribution environment according to claim 3 is characterized in that: The fan speed expression in the regulating control module is: N f =k N *(T target -T)+b N Where: N f is the speed of the fan; T target is the target temperature; T is the current temperature; k N is the adjustment coefficient of the fan speed; b N is the fan speed offset; The air volume expression is: Q f =k Q *(H target -H)+b Q Where: Q f is the air volume of the fan; H target is the target humidity; H is the current humidity; k Q is the adjustment coefficient of air volume; b Q is the wind volume offset.

5. The intelligent control system for power distribution environment according to claim 4 is characterized in that: The control expression of the dehumidification equipment in the regulation control module is: Where: D dehumidifier is the control status of the dehumidification equipment: 1 means on, 0 means off; H is the current humidity; H set is the set humidity threshold; The humidity adjustment expression in the adjustment control module is: Where: H adjust is the humidity adjustment amount; H curent is the current humidity; H target is the target humidity; is the humidity adjustment factor.

6. The intelligent control system for power distribution environment according to claim 1, characterized in that: The problem prediction model expression in the intelligent algorithm module is: P=f(H history ,T history ,D history ,C history ) Where: P is the predicted potential problem level; H history is the historical humidity data; T history is the historical temperature data; D history is the historical dust concentration data; C history is the historical hazardous substance concentration data; f is the prediction model function, which is a regression model or a time series model.

7. The intelligent control system for power distribution environment according to claim 6, characterized in that: The optimization suggestion expression in the intelligent algorithm module is: Suggestion=g(P,T current ,H current ,D current ,C current ) Among them: Suggestion is the optimization suggestion: the suggestion of adjusting parameters; P is the predicted value of potential problems; T current is the current temperature; H current is the current humidity; D current is the current dust concentration; C current is the current concentration of hazardous substances; g is the optimization suggestion generation function, which provides adjustment suggestions based on the prediction results and current data; The ventilation adjustment expression is: Where: N f is the speed of the fan; T target is the target temperature; T current is the current temperature; is the adjustment factor of the fan speed; is the fan speed offset; The dehumidification parameter adjustment expression in the intelligent algorithm module is: Where: H adjust is the humidity adjustment amount; H current is the current humidity; H target is the target humidity; is the humidity adjustment factor; is the humidity adjustment offset.

8. The intelligent control system for power distribution environment according to claim 1, characterized in that: The temperature and humidity warning expressions in the warning module are: Among them: Alert is the warning status: 1 means an alarm is issued, 0 means no alarm is issued; T is the current temperature; H is the current humidity; T min and T max is the lower and upper limits of the temperature setting range; H min and H max These are the lower and upper limits of the humidity setting range.

9. A method for intelligently controlling a power distribution environment, the method being used in the control system of claim 1, characterized in that: The steps of the control method are: Step 1: Environmental monitoring: real-time monitoring of indoor temperature, humidity, dust and harmful substances, monitoring of condensation, and transmission of data to the regulation control module; Step 2: Adjustment and control: Automatically adjust the fan speed and air volume according to real-time data, automatically start and stop the dehumidification equipment to prevent condensation, and automatically turn on the heating equipment at low temperatures to prevent freezing; Step 3: Intelligent algorithm analysis: Analyze historical data, predict potential problems, and automatically adjust ventilation and dehumidification parameters to maintain the best environment; Step 4: Early warning mechanism: When the temperature and humidity exceed the set range, an alarm will be automatically issued and relevant personnel will be notified.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores program code, and when the program code is executed by a processor, the steps of the method for intelligent control of power distribution environment as claimed in claim 9 are implemented.

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