An automated scheduling method, system and storage medium based on electric prefabricated cabin

Abstract

The present invention relates to the field of electric power dispatching technology, and specifically discloses an automated dispatching method, system and storage medium based on an electric power prefabricated cabin. The method can accurately assess the risk impact factors of the environment on the operation of the electric power prefabricated cabin by monitoring the operating environment parameters of the electric power prefabricated cabin, thereby being able to start the environmental automation dispatching process in a targeted manner, and enhance the adaptability and resistance of the electric power prefabricated cabin to extreme weather. Secondly, the communication parameters of the electric power prefabricated cabin are acquired and analyzed, and the communication reliability level is accurately quantified, which provides a strong basis for communication automation dispatching and ensures that the information transmission between the electric power prefabricated cabins and between the electric power prefabricated cabins and the control center is stable and efficient. Finally, the electric power operating parameters of the electric power prefabricated cabin are collected and analyzed, and the electric power imbalance evaluation factor can be quickly determined, potential electric power imbalance problems can be identified in time, and based on this, it is decided whether to start the electric power automation dispatching process, thereby effectively maintaining the stability and safety of the power system.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power dispatching, and in particular to an automated dispatching method, system and storage medium based on an electric power prefabricated cabin. Background Art

[0002] With the transformation of energy structure and the continuous growth of electricity demand, prefabricated power cabins have shown significant advantages in distributed energy access, microgrid construction and power supply in remote areas due to their modularity, standardization and rapid deployment. At the same time, in terms of automated scheduling methods, existing technologies have realized remote monitoring and control of equipment inside prefabricated power cabins, providing rich data support for scheduling decisions.

[0003] For example, the invention patent with announcement number CN115276024B announces an automated dispatching system for a prefabricated power cabin, including a detection module, a variable resistor, a power-off protection device, a fault alarm device, and a central control module. The central control module is used to adjust the output voltage of the prefabricated power cabin according to the detection results of the detection module. The central control module calculates the power balance parameter S based on the historical data of the power consumption parameters and sets the output voltage of the prefabricated power cabin according to the power balance parameter S. When the prefabricated power cabin is running, the central control module determines whether the actual voltage U in the transmission line is normal based on the detection results of the detection module, and adjusts the voltage when the central control module determines that the voltage exceeds the normal range.

[0004] For example, the invention patent with publication number CN115173469A discloses an autonomous decentralized power dispatching and control method under the distributed power source access network; the method constructs a distributed autonomous decentralized dispatching and control model, in which the nodes of the distributed power source can act as a homogeneous node to autonomously filter data in multiple data domain networks, and effectively carry out distributed autonomous self-regulation and management through autonomous coordination and control methods, breaking the constraints of the mainstream centralized dispatching mode and expanding more diversified online business models.

[0005] However, in the process of implementing the embodiments of the present application, it was found that the above technology has at least the following technical problems: the above application only focuses on the analysis and strategy formulation of the power dispatching process. This approach may cause the power equipment to be unable to fully demonstrate its due potential, thereby causing a series of failures and performance problems. Ultimately, it is difficult for the power equipment to achieve efficient and stable power distribution and regulation according to the originally set ideal power dispatching plan. Summary of the Invention

[0006] In view of the deficiencies in the prior art, the present invention provides an automated scheduling method, system and storage medium based on a prefabricated power cabin, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: In a first aspect, the present invention provides an automated scheduling method based on a prefabricated power cabin, comprising: step one, decentralized control of the service area through the prefabricated power cabin, monitoring the operating environment parameters of the prefabricated power cabin, evaluating the risk impact factor of the operating environment of the prefabricated power cabin, and comparing it with the risk impact threshold; if the risk impact factor of the operating environment of the prefabricated power cabin is greater than the risk impact threshold, performing an automated environmental scheduling process for the prefabricated power cabin, and obtaining the communication parameters of the prefabricated power cabin; if the risk impact factor of the operating environment of the prefabricated power cabin is less than or equal to the risk impact threshold, directly obtaining the communication parameters of the prefabricated power cabin; step two. Step 2: Based on the communication parameters of the power prefabricated cabin and the risk influencing factors of the operating environment of the power prefabricated cabin, the communication reliability index of the power prefabricated cabin is analyzed and compared with the communication reliability threshold. If the communication reliability index of the power prefabricated cabin is less than or equal to the communication reliability threshold, the communication automation scheduling process of the power prefabricated cabin is carried out, and the power operation parameters of the power prefabricated cabin are collected. If the communication reliability index of the power prefabricated cabin is greater than the communication reliability threshold, the power operation parameters of the power prefabricated cabin are directly collected. Step 3: Based on the power operation parameters of the power prefabricated cabin and the communication reliability index of the power prefabricated cabin, the power imbalance evaluation factor of the power prefabricated cabin is analyzed to determine whether to carry out the power automation scheduling process of the power prefabricated cabin.

[0008] As a further method, the environmental automation scheduling process of the power prefabricated cabin is specifically as follows: according to the risk influencing factors of the operating environment of the power prefabricated cabin, the environmental automation scheduling plan of the power prefabricated cabin is matched from the control database, and the power prefabricated cabin executes the environmental automation scheduling plan of the power prefabricated cabin, thereby completing the environmental automation scheduling process of the power prefabricated cabin.

[0009] As a further method, the communication automation scheduling process of the power prefabricated cabin is specifically as follows: according to the communication reliability index of the power prefabricated cabin, the communication automation scheduling plan of the power prefabricated cabin is matched from the control database, and the communication automation scheduling plan of the power prefabricated cabin is executed by the power prefabricated cabin until the communication reliability index of the power prefabricated cabin is greater than the communication reliability threshold, thereby completing the communication automation scheduling process of the power prefabricated cabin.

[0010] As a further method, the determination of whether to perform the power automation dispatch process of the power prefabricated cabin is as follows: comparing the power imbalance evaluation factor of the power prefabricated cabin with the power imbalance evaluation threshold; if the power imbalance evaluation factor of the power prefabricated cabin is greater than the power imbalance evaluation threshold, determining to perform the power automation dispatch process of the power prefabricated cabin; if the power imbalance evaluation factor of the power prefabricated cabin is less than or equal to the power imbalance evaluation threshold, determining that the power automation dispatch process of the power prefabricated cabin is not required, and continuously monitoring the operating environment parameters of the power prefabricated cabin; the power automation dispatch process of the power prefabricated cabin is as follows: matching the power automation dispatch plan of the power prefabricated cabin from the control database according to the power imbalance evaluation factor of the power prefabricated cabin, and executing the power automation dispatch plan of the power prefabricated cabin by the power prefabricated cabin until the power imbalance evaluation factor of the power prefabricated cabin is less than or equal to the power imbalance evaluation threshold, and generating a power automation dispatch log for feedback to the control center, thereby completing the power automation dispatch process of the power prefabricated cabin.

[0011] The second aspect of the present invention provides a system for applying the automated scheduling method based on a prefabricated electric power cabin as described above, comprising: an environmental assessment module for decentralized control of the service area through the prefabricated electric power cabin, monitoring the operating environment parameters of the prefabricated electric power cabin, evaluating the risk impact factor of the operating environment of the prefabricated electric power cabin, and comparing it with the risk impact threshold; if the risk impact factor of the operating environment of the prefabricated electric power cabin is greater than the risk impact threshold, the environmental automated scheduling process of the prefabricated electric power cabin is performed, and the communication parameters of the prefabricated electric power cabin are obtained; if the risk impact factor of the operating environment of the prefabricated electric power cabin is less than or equal to the risk impact threshold, the communication parameters of the prefabricated electric power cabin are directly obtained; a communication analysis module for analyzing the risk impact factor of the operating environment of the prefabricated electric power cabin based on the risk impact factor of the prefabricated electric power cabin. Based on the communication parameters of the power prefabricated cabin and the risk influencing factors of the operating environment of the power prefabricated cabin, the communication reliability index of the power prefabricated cabin is analyzed and compared with the communication reliability threshold. If the communication reliability index of the power prefabricated cabin is less than or equal to the communication reliability threshold, the communication automation scheduling process of the power prefabricated cabin is carried out and the power operation parameters of the power prefabricated cabin are collected. If the communication reliability index of the power prefabricated cabin is greater than the communication reliability threshold, the power operation parameters of the power prefabricated cabin are directly collected; the power analysis module is used to analyze the power imbalance evaluation factor of the power prefabricated cabin based on the power operation parameters of the power prefabricated cabin and the communication reliability index of the power prefabricated cabin, thereby determining whether to carry out the power automation scheduling process of the power prefabricated cabin.

[0012] A third aspect of the present invention provides a computer-readable storage medium for storing a program, wherein when the program is executed by a processor, the program implements the automated scheduling method based on the power prefabricated cabin as described above.

[0013] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0014] (1) The present invention provides an automated dispatching method, system and storage medium based on a prefabricated power cabin. By monitoring the operating environment parameters of the prefabricated power cabin, the risk impact factor of the environment on the operation of the prefabricated power cabin can be accurately assessed, so that the automated environmental dispatching process can be started in a targeted manner to ensure that timely and effective protective measures can be taken, and the adaptability and resistance of the prefabricated power cabin to extreme weather can be enhanced, thereby ensuring the continuous and stable operation of the prefabricated power cabin and effectively reducing the risk of failure. Secondly, the communication parameters of the prefabricated power cabin are obtained and analyzed, and the communication reliability level is accurately quantified, which provides a strong basis for automated communication dispatching, ensures that the information transmission between the prefabricated power cabins and between the prefabricated power cabins and the control center is stable and efficient, and avoids power dispatching errors caused by communication failures. Finally, the power operating parameters of the prefabricated power cabin are collected and analyzed, and the power imbalance evaluation factor can be quickly determined, potential power imbalance problems can be identified in time, and based on this, it is decided whether to start the automated power dispatching process, thereby effectively maintaining the stability and safety of the power system and reducing the occurrence of power accidents.

[0015] (2) The present invention can autonomously execute targeted environmental automation scheduling processes by monitoring the operating environment parameters of the power prefabricated cabin, so that the power prefabricated cabin can automatically adapt to harsh environments such as plateaus and deserts, ensuring that its performance is maintained at a high level. More importantly, the environmental automation scheduling process adopts a fully automated design and does not require additional communication feedback with the control center. In addition, since the environment-related adjustment equipment is streamlined and the communication is simple, there is no need to pre-analyze the communication environment. This feature simplifies information processing, thereby ensuring that the power prefabricated cabin can be quickly adjusted in a complex and changing environment and maintain continuous, stable and efficient operation.

[0016] (3) The present invention comprehensively evaluates the power operation parameters and communication reliability index of the power prefabricated cabin, accurately determines the power imbalance evaluation factor, and intuitively displays the imbalance status. At the same time, communication with the control center becomes the key. This communication link not only ensures that the control center can receive accurate and timely power imbalance information in real time, improving the detection accuracy and reliability, but also enables the control center to continuously update the personalized power automation scheduling plan based on the real-time changes in local power demand. This dynamic adjustment capability not only enhances the control center's comprehensive control over the operating status of the power prefabricated cabin, but also effectively reduces system failures or safety hazards that may be caused by power imbalance, ensuring that the entire power system maintains stable operation and efficient power supply while meeting diverse power needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The present invention is further described with reference to the accompanying drawings. However, the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative effort.

[0018] Figure 1 Schematic diagram of the method steps of the present invention.

[0019] Figure 2 This is a schematic diagram of system module connections of the present invention.

[0020] Figure 3 The figure is a schematic diagram of the output current variation curve of the power prefabricated cabin involved in the present invention during the power detection cycle.

[0021] Reference numerals: 1, highest point of the curve; 2, lowest point of the curve. DETAILED DESCRIPTION

[0022] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0023] Reference Figure 1 As shown, the first aspect of the present invention provides an automated scheduling method based on a prefabricated power cabin, including: step 1, decentralized control of the service area through the prefabricated power cabin, monitoring the operating environment parameters of the prefabricated power cabin, evaluating the risk impact factor of the operating environment of the prefabricated power cabin, and comparing it with the risk impact threshold; if the risk impact factor of the operating environment of the prefabricated power cabin is greater than the risk impact threshold, performing the environmental automated scheduling process of the prefabricated power cabin, and obtaining the communication parameters of the prefabricated power cabin; if the risk impact factor of the operating environment of the prefabricated power cabin is less than or equal to the risk impact threshold, directly obtaining the communication parameters of the prefabricated power cabin.

[0024] The above-mentioned risk impact threshold represents the maximum value of the reasonable range of the risk impact factor of the operating environment to which the power prefabricated cabin belongs, and is extracted from the control database; the above-mentioned service area may be a plateau area or a desert area; the above-mentioned decentralized control of the service area through the power prefabricated cabin is specifically as follows: in the decentralized control of the power prefabricated cabin, each power prefabricated cabin is equipped with an independent control unit (such as a controller and I / O card, etc.), which is responsible for directly controlling the field equipment (such as sensors, actuators, etc.). These control units are interconnected through a high-speed communication network to form a distributed control system. When power dispatch or control is required for the service area, control instructions will be sent to each power prefabricated cabin, and these instructions will be received and executed by each control unit.

[0025] In a specific embodiment, the present invention can autonomously execute a targeted environmental automation scheduling process by monitoring the operating environment parameters of the power prefabricated cabin, so that the power prefabricated cabin can automatically adapt to harsh environments such as plateaus and deserts, ensuring that its performance is maintained at a high level. What is more important is that the environmental automation scheduling process adopts a fully automated design, without the need for additional communication feedback with the control center, and because the environment-related adjustment equipment is streamlined and the communication is simple, there is no need to pre-analyze the communication environment. This feature simplifies information processing, thereby ensuring that the power prefabricated cabin can be quickly adjusted in a complex and changing environment and maintain continuous, stable and efficient operation.

[0026] Specifically, the environmental automation scheduling process for the power prefabricated cabin is as follows: according to the risk impact factor of the operating environment of the power prefabricated cabin, the environmental automation scheduling plan of the power prefabricated cabin is matched from the control database, and the power prefabricated cabin executes the environmental automation scheduling plan of the power prefabricated cabin, thereby completing the environmental automation scheduling process of the power prefabricated cabin; the control database stores the environmental automation scheduling plan corresponding to each risk impact factor interval. In an example embodiment, assuming that the risk impact factor of the operating environment of a certain power prefabricated cabin belongs to a certain risk impact factor interval stored in the control database, the environmental automation scheduling plan corresponding to the risk impact factor interval includes: automatically adjusting the air conditioning or heating system in the power prefabricated cabin until the cabin temperature is maintained between 30 degrees Celsius and 40 degrees Celsius; automatically adjusting the dehumidification system in the power prefabricated cabin, Reduce the humidity in the cabin to below 40%; automatically start the cabin sealing system, close all vents and doors and windows to prevent sand and dust from entering, and start the air purification system to use high-efficiency filters to remove sand and dust particles in the cabin until the monitored average sand and dust concentration is less than the average sand and dust concentration limit value; the environmental automation scheduling plan for the power prefabricated cabin matched with the risk influencing factors of the operating environment to which the power prefabricated cabin belongs includes: automatically adjusting the air conditioning or heating system in the power prefabricated cabin until the cabin temperature is maintained between 30 degrees Celsius and 40 degrees Celsius; automatically adjusting the dehumidification system in the power prefabricated cabin to reduce the humidity in the cabin to below 40%; automatically start the cabin sealing system, close all vents and doors and windows to prevent sand and dust from entering, and start the air purification system to use high-efficiency filters to remove sand and dust particles in the cabin until the monitored average sand and dust concentration is less than the average sand and dust concentration limit value.

[0027] It needs to be explained that after executing the environmental automation scheduling plan, the power prefabricated cabin can be in the best working state under the environment. Therefore, after completing the environmental automation scheduling process of the power prefabricated cabin, the communication parameters of the power prefabricated cabin can be obtained and the communication analysis of the power prefabricated cabin can be performed.

[0028] In this exemplary embodiment, the risk impact factors of the operating environment of the above-mentioned power prefabricated cabin and the changes in their corresponding parameters are shown in Table 1:

[0029] Table 1 Risk impact factors of the operating environment of the power prefabricated cabin and changes in their corresponding parameters

[0030]

[0031]

[0032] In this example embodiment, the average dust concentration limit is set to 5 mg / m3, the reference average wind speed is set to 5.5 m / s, and the dew point temperature difference is set to 8 degrees Celsius. It can be seen from Table 1 that when the dust concentration is small (i.e., 0.2 mg / m3), the average wind speed and the dew point temperature difference are close to the corresponding reference values (i.e., the difference between 5 m / s and 5.5 m / s is small, and the difference between 10 degrees Celsius and 8 degrees Celsius is small), it indicates that the current environment of the power prefabricated cabin is good, which is specifically manifested in a small risk impact factor of 132.6%.

[0033] Furthermore, the risk influencing factors of the operating environment of the power prefabricated cabin are evaluated, and the specific evaluation process is as follows: the operating environment parameters of the power prefabricated cabin include the average dust concentration of the operating environment of the power prefabricated cabin during the environmental monitoring period, the average wind speed of the operating environment of the power prefabricated cabin during the environmental monitoring period, the average temperature of the operating environment of the power prefabricated cabin during the environmental monitoring period, and the average water vapor pressure of the operating environment of the power prefabricated cabin during the environmental monitoring period; the above-mentioned environmental monitoring period represents the time period for detecting the operating environment of the power prefabricated cabin, and the specific duration is determined by the equipment development engineer and set in the power prefabricated cabin; the above-mentioned average dust concentration refers to the average content of dust particles (in this embodiment, dust particles refer to particles with a particle size of less than 20 microns) in the environment where the power prefabricated cabin is located during the environmental monitoring period, which is usually expressed as the mass of dust per unit volume, and is measured by optical scattering method. The dust concentration monitor measures the real-time dust concentration of the operating environment of the power prefabricated cabin during the environmental monitoring period, and the average dust concentration is obtained by averaging. The above-mentioned average wind speed refers to the average value of the wind speed in the environment in which the power prefabricated cabin is located during the environmental monitoring period, and the real-time wind speed of the operating environment of the power prefabricated cabin during the environmental monitoring period is measured by an anemometer, and the average wind speed is obtained by averaging. The above-mentioned average temperature refers to the average value of the temperature of the environment in which the power prefabricated cabin is located during the environmental monitoring period, and the real-time temperature of the operating environment of the power prefabricated cabin during the environmental monitoring period is measured by a temperature sensor, and the average temperature is obtained by averaging. The above-mentioned average water vapor pressure refers to the average value of the pressure generated by water vapor molecules in the environment in which the power prefabricated cabin is located on the wall of the power prefabricated cabin during the environmental monitoring period, and the real-time water vapor pressure of the operating environment of the power prefabricated cabin during the environmental monitoring period is measured by a water vapor pressure sensor, and the average water vapor pressure is obtained by averaging.

[0034] The average water vapor pressure of the operating environment of the power prefabricated cabin during the environmental monitoring period is processed to obtain the average dew point temperature of the operating environment of the power prefabricated cabin during the environmental monitoring period, and the difference between the average dew point temperature and the average temperature of the operating environment of the power prefabricated cabin during the environmental monitoring period is processed, and the processing result is marked as the dew point temperature difference of the operating environment of the power prefabricated cabin during the environmental monitoring period; the average dew point temperature of the operating environment of the power prefabricated cabin during the environmental monitoring period represents the average value of the dew point temperature of the environment in which the power prefabricated cabin is located during the specified environmental monitoring period, wherein the dew point temperature refers to the temperature corresponding to the saturation state of water vapor in the air under the average water vapor pressure of the operating environment of the power prefabricated cabin during the environmental monitoring period; the above data processing is specifically as follows: Wherein, TL is the average dew point temperature of the operating environment of the power prefabricated cabin during the environmental monitoring period, and P is the average water vapor pressure of the operating environment of the power prefabricated cabin during the environmental monitoring period. The dew point temperature difference of the operating environment of the power prefabricated cabin during the environmental monitoring period represents the difference between the average dew point temperature and the average temperature of the operating environment of the power prefabricated cabin during the environmental monitoring period.

[0035] The average dust concentration of the operating environment of the power prefabricated cabin during the environmental monitoring period, the average wind speed of the operating environment of the power prefabricated cabin during the environmental monitoring period, and the dew point temperature difference of the operating environment of the power prefabricated cabin during the environmental monitoring period are comprehensively evaluated to obtain a risk impact factor of the operating environment of the power prefabricated cabin. In this embodiment, the risk impact factor of the operating environment of the power prefabricated cabin represents the degree of negative impact of the operating environment of the power prefabricated cabin on the power prefabricated cabin. The specific evaluation method is as follows:

[0036]

[0037] In the formula, ROP is the risk influencing factor of the operating environment of the power prefabricated cabin, LB is the average dust concentration of the operating environment of the power prefabricated cabin during the environmental monitoring period, AVP is the average wind speed of the operating environment of the power prefabricated cabin during the environmental monitoring period, DP is the dew point temperature difference of the operating environment of the power prefabricated cabin during the environmental monitoring period, and LB is the average dust concentration of the operating environment of the power prefabricated cabin during the environmental monitoring period. ΔJ is the average dust concentration limit value preset in the control database, ΔAVP is the reference average wind speed preset in the control database, ΔDP is the reference dew point temperature difference preset in the control database, and e is a natural constant.

[0038] The above-mentioned average dust concentration limit value indicates the maximum allowable average dust concentration in the operating environment during the environmental monitoring period; the above-mentioned reference average wind speed indicates the reference value of the average wind speed in the operating environment of the power prefabricated cabin during the environmental monitoring period; the above-mentioned reference dew point temperature difference indicates the reference value of the dew point temperature difference in the operating environment of the power prefabricated cabin during the environmental monitoring period.

[0039] It should be explained that the average dust concentration directly affects the cleanliness of the environment. For example, high concentrations of dust often have an adverse effect on the operating efficiency of the power prefabricated cabin by increasing mechanical wear and blocking heat dissipation channels. At the same time, the average wind speed not only determines the range and speed of dust diffusion, but also indirectly affects the operating stability of the power prefabricated cabin by affecting the cooling effect of the power prefabricated cabin. An average wind speed significantly greater than the reference average wind speed may intensify the erosion of dust on the power prefabricated cabin, while an average wind speed significantly less than the reference average wind speed may result in poor heat dissipation of the power prefabricated cabin. Good. Furthermore, a significant deviation of the dew point temperature difference from the reference dew point temperature difference will affect the condensation of water vapor in the air, leading to a humidity difference inside and outside the power prefabricated cabin. This difference, under the combined effects of dust and wind speed, may exacerbate internal corrosion of the equipment and degrade insulation performance. In summary, the three parameters of average dust concentration, average wind speed, and dew point temperature difference are intertwined and act together on the operating environment of the power prefabricated cabin. By affecting multiple aspects of the cabin, such as physical wear, heat dissipation efficiency, and insulation performance, they comprehensively determine the degree of risk impact of the operating environment of the power prefabricated cabin.

[0040] Step 2: Based on the communication parameters of the power prefabricated cabin and the risk influencing factors of the operating environment of the power prefabricated cabin, the communication reliability index of the power prefabricated cabin is analyzed and compared with the communication reliability threshold. If the communication reliability index of the power prefabricated cabin is less than or equal to the communication reliability threshold, the communication automation scheduling process of the power prefabricated cabin is carried out, and the power operation parameters of the power prefabricated cabin are collected. If the communication reliability index of the power prefabricated cabin is greater than the communication reliability threshold, the power operation parameters of the power prefabricated cabin are directly collected.

[0041] The above communication reliability threshold represents the minimum value of a reasonable range of the communication reliability index of the power prefabricated cabin, and is extracted from the control database.

[0042] Specifically, the communication automation scheduling process of the power prefabricated cabin is as follows: according to the communication reliability index of the power prefabricated cabin, the communication automation scheduling plan of the power prefabricated cabin is matched from the control database, and the communication automation scheduling plan of the power prefabricated cabin is executed by the power prefabricated cabin until the communication reliability index of the power prefabricated cabin is greater than the communication reliability threshold, thereby completing the communication automation scheduling process of the power prefabricated cabin; the control database stores the communication automation scheduling plan corresponding to each communication reliability index interval; in an example embodiment, assuming that the communication reliability index of a certain power prefabricated cabin belongs to a certain communication reliability index interval stored in the control database, the communication reliability index The communication automation scheduling scheme corresponding to the interval includes: optimizing the operating frequency of each device in the power prefabricated cabin, avoiding frequency conflicts and interference, automatically triggering the fault switching process, switching the backup communication link, and dynamically adjusting the communication protocol (such as adjusting to 5G) according to the magnetic field environment to adapt to communication needs and environmental conditions; the communication automation scheduling scheme of the power prefabricated cabin obtained by matching the communication reliability index of the power prefabricated cabin includes: optimizing the operating frequency of each device in the power prefabricated cabin, avoiding frequency conflicts and interference, automatically triggering the fault switching process, switching the backup communication link, and dynamically adjusting the communication protocol (such as adjusting to 5G) according to the magnetic field environment to adapt to communication needs and environmental conditions.

[0043] The communication automation scheduling scheme, which has been strictly verified and implemented, can significantly improve the communication reliability index of the power prefabricated cabin, ensuring that the communication reliability index of the power prefabricated cabin is greater than the communication reliability threshold after execution. This communication optimization mechanism has redundant configuration and fault switching mechanism, and is highly adaptable and stable. It will not lead to a decrease in optimization efficiency due to the decline in the performance of the power prefabricated cabin. Therefore, during normal use, there is no need to frequently adjust or reconstruct the established communication automation scheduling scheme.

[0044] Specifically, the communication reliability index of the electric prefabricated cabin is analyzed, and the specific analysis process is: the communication parameters of the electric prefabricated cabin include the average transmission power of the electric prefabricated cabin during the communication monitoring period, the average electromagnetic field strength of the operating environment of the electric prefabricated cabin during the communication monitoring period, the frequency of each transmission signal of the electric prefabricated cabin during the communication monitoring period, and the reference signal frequency corresponding to each transmission signal; the above-mentioned communication monitoring period refers to the time period for monitoring the communication process of the electric prefabricated cabin, and the specific duration is determined by the equipment development engineer and set in the electric prefabricated cabin; the above-mentioned average transmission power refers to the average power level of the signal transmitted by the communication equipment in the electric prefabricated cabin to the control center, etc. during the communication monitoring period. The real-time transmission power of the electric prefabricated cabin during the communication monitoring period can be measured by a power meter, and the average transmission power of the electric prefabricated cabin during the communication monitoring period is obtained by averaging. Radio power; the above-mentioned average electromagnetic field strength refers to the average strength of the electromagnetic field in the environment where the power prefabricated cabin is located during the communication monitoring period. The real-time electromagnetic field strength of the power prefabricated cabin during the communication monitoring period can be measured by a high-frequency electromagnetic field strength tester, and the average electromagnetic field strength of the power prefabricated cabin during the communication monitoring period can be obtained by averaging; the above-mentioned sending signal frequencies refer to the frequencies of the signals sent by the communication equipment in the power prefabricated cabin during the communication monitoring period, which can be obtained by analysis with a spectrum analyzer; the reference signal frequencies corresponding to the above-mentioned sending signals refer to the signal frequency reference values corresponding to the sending signal frequencies, which can be extracted from the operating standard manual of the power prefabricated cabin. Ideally, the sending signal frequency and the reference signal frequency should be consistent, but due to various factors in the transmission process (such as multipath effects and frequency offset, etc.), the received signal frequency may deviate from the sending signal frequency.

[0045] According to the average electromagnetic field strength of the operating environment of the power prefabricated cabin during the communication monitoring period, the reference transmission power of the operating environment of the power prefabricated cabin during the communication monitoring period is matched from the control database; the specific matching process is: the reference transmission power corresponding to each average electromagnetic field strength interval is stored in the control database, and the average electromagnetic field strength interval to which the average electromagnetic field strength of the operating environment of the power prefabricated cabin during the communication monitoring period belongs is queried, and the reference transmission power corresponding to the average electromagnetic field strength interval is the reference transmission power of the operating environment of the power prefabricated cabin during the communication monitoring period.

[0046] The difference processing is performed on the frequency of each transmitted signal of the power prefabricated cabin within the communication monitoring period and the reference signal frequency corresponding to each transmitted signal to obtain the deviation of each signal frequency of the power prefabricated cabin within the communication monitoring period, and the average processing is performed to obtain the average signal frequency offset of the power prefabricated cabin within the communication monitoring period; the above-mentioned average signal frequency offset of the power prefabricated cabin within the communication monitoring period refers to the average value of the difference between each transmitted signal frequency of the power prefabricated cabin within the communication monitoring period and the reference signal frequency corresponding to each transmitted signal within the communication monitoring period.

[0047] A comprehensive analysis is performed of the risk influencing factors of the operating environment of the power prefabricated cabin, the average transmission power of the power prefabricated cabin during the communication monitoring period, the reference transmission power of the operating environment of the power prefabricated cabin during the communication monitoring period, the average electromagnetic field strength of the operating environment of the power prefabricated cabin during the communication monitoring period, and the average signal frequency offset of the power prefabricated cabin during the communication monitoring period to obtain a communication reliability index of the power prefabricated cabin. In this embodiment, the communication reliability index of the power prefabricated cabin represents a numerical value of the communication reliability of the power prefabricated cabin.

[0048] Furthermore, the communication reliability index of the power prefabricated cabin is specifically analyzed by the following method:

[0049]

[0050] Where CRI is the communication reliability index of the power prefabricated cabin, ROP is the risk impact factor of the operating environment of the power prefabricated cabin, A is the weight factor corresponding to the risk impact factor preset in the control database, RFO is the average signal frequency offset of the power prefabricated cabin during the communication monitoring period, TR is the average electromagnetic field strength of the operating environment of the power prefabricated cabin during the communication monitoring period, EF is the average transmission power of the power prefabricated cabin during the communication monitoring period, ΔRFO is the average signal frequency offset preset in the control database, and TR ΔJ It is the limit value of the average electromagnetic field strength preset in the control database, ΔEF is the reference transmission power of the operating environment of the power prefabricated cabin during the communication monitoring period, and e is a natural constant.

[0051] The weight factors corresponding to the above-mentioned risk impact factors represent the proportion of the risk impact factors of the operating environment of the power prefabricated cabin to which the risk impact factors of the operating environment to which the power prefabricated cabin belongs to the communication reliability index of the power prefabricated cabin. The control database stores the corresponding relationship between the risk impact factors of the operating environment to which the power prefabricated cabin belongs and their corresponding weight factors. For example, the risk impact factors of the operating environment to which the power prefabricated cabin belongs are input into the control database, and the control database can match the weight factors corresponding to the risk impact factors.

[0052] The above-mentioned average signal frequency limit offset indicates the maximum allowable value of the average signal frequency offset of the power prefabricated cabin during the communication monitoring period; the above-mentioned average electromagnetic field strength limit value indicates the maximum allowable value of the average electromagnetic field strength of the operating environment to which the power prefabricated cabin belongs during the communication monitoring period; the above-mentioned reference transmission power indicates the reference value of the average transmission power of the power prefabricated cabin during the communication monitoring period.

[0053] It should be explained that the physical conditions in the environment may directly interfere with the transmission of communication signals. For example, sand and dust particles can scatter and absorb signals, resulting in signal attenuation and distortion. Therefore, the risk influencing factors of the operating environment of the power prefabricated cabin and the communication reliability index of the power prefabricated cabin are integrated and analyzed. At the same time, the average signal frequency offset reflects a key indicator of the stability of the communication signal, which may increase due to interference from the electromagnetic environment or aging of the equipment itself. This offset will not only reduce the communication quality, but may also affect the accuracy of data transmission between the power prefabricated cabin and the control center by increasing the bit error rate. The average electromagnetic field strength represents the level of electromagnetic radiation in the environment. High Strong electromagnetic fields may interfere with the communication equipment in the power prefabricated cabin, causing frequency deviations in signal reception and transmission, thereby affecting the communication reliability level. At the same time, the average transmission power of the power prefabricated cabin, as an important parameter for measuring its communication capabilities, will also be affected by the above factors. In order to overcome the communication difficulties caused by electromagnetic interference and frequency deviation, the power prefabricated cabin may need to increase the transmission power to ensure communication quality, causing the average transmission power to deviate significantly from the corresponding reference value, but this may exacerbate the complexity of the electromagnetic environment, forming a vicious cycle. Therefore, the above parameters jointly act on the communication reliability index of the power prefabricated cabin, determining the communication performance of the power prefabricated cabin in a complex environment.

[0054] Step 3: Analyze the power imbalance evaluation factor of the power prefabricated cabin based on the power operation parameters of the power prefabricated cabin and the communication reliability index of the power prefabricated cabin, and determine whether to perform the power automation dispatch process of the power prefabricated cabin.

[0055] In a specific embodiment, the present invention comprehensively evaluates the power operating parameters and communication reliability index of the power prefabricated cabin, accurately determines the power imbalance evaluation factor, and intuitively displays the imbalance status. At the same time, communication with the control center becomes the key. This communication link not only ensures that the control center can receive accurate and timely power imbalance information in real time, improving detection accuracy and reliability, but also enables the control center to continuously update personalized power automation scheduling plans based on real-time changes in local power demand. This dynamic adjustment capability not only enhances the control center's comprehensive control over the operating status of the power prefabricated cabin, but also effectively reduces system failures or safety hazards that may be caused by power imbalance, ensuring that the entire power system maintains stable operation and efficient power supply while meeting diverse power needs.

[0056] Specifically, the determination of whether to perform the power automation dispatch process of the power prefabricated cabin is as follows: comparing the power imbalance evaluation factor of the power prefabricated cabin with the power imbalance evaluation threshold; if the power imbalance evaluation factor of the power prefabricated cabin is greater than the power imbalance evaluation threshold, then determining to perform the power automation dispatch process of the power prefabricated cabin; the above-mentioned power imbalance evaluation threshold represents the maximum value of a reasonable range of the power imbalance evaluation factor of the power prefabricated cabin, and is extracted from the control database.

[0057] If the power imbalance evaluation factor of the power prefabricated cabin is less than or equal to the power imbalance evaluation threshold, it is determined that there is no need to perform the power automation dispatch process of the power prefabricated cabin, and the operating environment parameters of the power prefabricated cabin are continuously monitored.

[0058] The power automation dispatching process of the power prefabricated cabin is specifically as follows: according to the power imbalance evaluation factor of the power prefabricated cabin, the power automation dispatching plan of the power prefabricated cabin is matched from the control database, and the power prefabricated cabin executes the power automation dispatching plan of the power prefabricated cabin until the power imbalance evaluation factor of the power prefabricated cabin is less than or equal to the power imbalance evaluation threshold, and at the same time, a power automation dispatching log is generated and fed back to the control center, thereby completing the power automation dispatching process of the power prefabricated cabin; the control database stores the power automation dispatching plan corresponding to each power imbalance evaluation factor interval. In an example embodiment, assuming that the power imbalance evaluation factor of a certain power prefabricated cabin belongs to a certain power imbalance evaluation factor interval stored in the control database, the power automation dispatching plan corresponding to the power imbalance evaluation factor interval includes: releasing 50% of the electric energy in the energy storage unit to cope with the power shortage, automatically cutting off the faulty equipment to prevent failure the fault is not expanded, and the power consumption of non-critical loads is reduced through smart meters; the matched power automation scheduling plan for the power prefabricated cabin includes: releasing 50% of the electric energy in the energy storage unit to cope with the power shortage, automatically cutting off the faulty equipment to prevent the fault from expanding, and reducing the power consumption of non-critical loads through smart meters; the above-mentioned generation of the power automation scheduling log and feedback to the control center refers to putting the process of the power prefabricated cabin executing the power automation scheduling plan of the power prefabricated cabin into the power automation scheduling log, and uploading the power automation scheduling log to the control center through communication. The management personnel of the control center judge the performance of the power prefabricated cabin based on the power automation scheduling log, and can adjust and update the power automation scheduling plan in the control database based on the power automation scheduling log, so that the power automation scheduling plan can continuously ensure that the power imbalance evaluation factor of the power prefabricated cabin is less than or equal to the power imbalance evaluation threshold.

[0059] The power automation scheduling plan for the power prefabricated cabin may not be able to meet the expected requirements as the performance of the power prefabricated cabin deteriorates. For example, if the power prefabricated cabin has been in use for a long time and the energy storage unit has stored 90% of the initial energy storage, it is necessary to release 50% of the power in the energy storage unit in the power automation scheduling plan to release a larger proportion of power. Therefore, in order to better perform remote automated power adjustment, the management personnel of the control center need to update the power automation scheduling plan.

[0060] The above-mentioned control center refers to a center that centrally manages and controls all power prefabricated cabins. The control center has management personnel to centrally manage and control the controlled power prefabricated cabins, thereby realizing remote control of the power prefabricated cabins.

[0061] Furthermore, the power imbalance evaluation factor of the power prefabricated cabin is analyzed, and the specific judgment process is as follows: the power operation parameters of the power prefabricated cabin include the real-time output power factor of the power prefabricated cabin during the power detection period, the output current change curve of the power prefabricated cabin during the power detection period, and the average output frequency of the power prefabricated cabin during the power detection period; the above-mentioned power detection period refers to the time period for analyzing the power operation status of the power prefabricated cabin, and the specific duration is determined by the equipment development engineer and set in the power prefabricated cabin; the above-mentioned real-time output power factor represents the ratio of the real-time output active power to the apparent power of the power prefabricated cabin during the power detection period, and the power parameters of the main power supply of the power prefabricated cabin to which the power prefabricated cabin belongs can be collected in real time through the power factor meter, thereby obtaining to its real-time power factor; the above-mentioned output current change curve represents a graphical representation of the output current change over time of the main power supply of the power prefabricated cabin during the power detection period. The output current of the main power supply of the power prefabricated cabin can be collected in real time by a current sensor during the power detection period, and connected into a curve after denoising processing by matrix laboratory software, thereby obtaining the output current change curve of the power prefabricated cabin during the power detection period; the above-mentioned average output frequency represents the average value of the frequency of the output alternating current of the main power supply of the power prefabricated cabin during the power detection period. The output frequency of the main power supply of the power prefabricated cabin during the power detection period can be monitored in real time by a frequency meter, and the average output frequency of the power prefabricated cabin during the power detection period can be obtained by performing average processing.

[0062] It should be explained that in the scenario where a prefabricated power cabin is used to implement decentralized control of the service area, due to the complexity of the internal equipment structure of the prefabricated power cabin, it is rather cumbersome to conduct an in-depth analysis of its components. Therefore, in this embodiment, the focus is on the power operation parameters of the main power supply of the prefabricated power cabin for analysis. It is worth noting that although the prefabricated power cabin is not only equipped with a main power supply, but also a backup power supply to enhance the reliability of the prefabricated power cabin, a detailed analysis of the operating status of the main power supply can still indirectly provide insight into the basic status of the backup power supply. This analysis strategy aims to simplify the analysis process while ensuring an accurate grasp of the overall performance of the power supply system of the prefabricated power cabin.

[0063] The real-time output power factor of the electric prefabricated cabin within the electric power detection cycle is processed to obtain the real-time phase difference of the electric prefabricated cabin within the electric power detection cycle, and the maximum value is extracted from the real-time phase difference of the electric prefabricated cabin within the electric power detection cycle, which is marked as the maximum phase difference of the electric prefabricated cabin within the electric power detection cycle; the real-time phase difference of the above-mentioned electric prefabricated cabin within the electric power detection cycle represents the real-time relative position difference between the voltage waveform and the current waveform in the electric prefabricated cabin. In an AC circuit, the voltage and current are often sinusoidal waveforms. When these two sinusoidal waveforms complete a complete waveform cycle within one cycle, if their relative positions at a certain moment are different, that is, one waveform is at the peak, and the other waveform may still be in the trough or the rising or falling stage of the wave, then there is a phase difference between them; the specific processing process of the above-mentioned data processing is: SH=cos φ, where SH is the real-time output power factor of the prefabricated power cabin at a certain moment in the power detection cycle, and the absolute value of φ is the real-time phase difference of the prefabricated power cabin at that moment in the power detection cycle (the positive or negative value of the phase difference φ is used to indicate the advance or lag of the current waveform relative to the voltage waveform on the time axis. Specifically, when φ is positive, it indicates that the current waveform lags relative to the voltage waveform; and when φ is negative, it indicates that the current waveform leads relative to the voltage waveform. However, in this embodiment, the main focus is on the specific numerical value of the phase difference, that is, the numerical part of φ, which is used as the real-time phase difference of the prefabricated power cabin in the power detection cycle). The real-time phase difference of the prefabricated power cabin in the power detection cycle can be obtained through this process; the maximum phase difference of the prefabricated power cabin in the power detection cycle indicates the maximum value of the real-time phase difference of the prefabricated power cabin in the power detection cycle.

[0064] The average output current of the prefabricated power cabin during the power detection period is obtained, and the highest point and the lowest point of the curve are located on the output current change curve of the prefabricated power cabin during the power detection period, and the current at the highest point of the curve and the current at the lowest point of the curve are obtained for difference processing. The difference processing result is ratio-processed with the average output current of the prefabricated power cabin during the power detection period, and the processing result is marked as the output current fluctuation factor of the prefabricated power cabin during the power detection period; the average output current of the prefabricated power cabin during the power detection period represents the average value of the output current of the main power supply to which the prefabricated power cabin belongs during the power detection period, and the average output current of the prefabricated power cabin during the power detection period can be obtained by averaging the output current at each power detection time point in the output current change curve of the prefabricated power cabin during the power detection period. In an exemplary embodiment, the output current change curve of the prefabricated power cabin during the power detection period is as follows: Figure 3 As shown, the horizontal axis is the power detection time point in minutes, and the vertical axis is the output current in amperes, which clearly shows the output current change of the main power supply of the power prefabricated cabin during the power detection period. The output current at the highest point 1 of the curve and the output current at the lowest point 2 of the curve are obtained for difference processing, and the difference processing result is ratio processed with the average output current of the power prefabricated cabin during the power detection period to obtain the output current fluctuation factor of the power prefabricated cabin during the power detection period; the output current fluctuation factor of the power prefabricated cabin during the power detection period indicates the degree of fluctuation of the output current of the main power supply of the power prefabricated cabin relative to the average output current.

[0065] A power imbalance evaluation factor of the prefabricated power cabin is obtained by comprehensively analyzing the communication reliability index of the prefabricated power cabin, the maximum phase difference of the prefabricated power cabin during the power detection period, the output current fluctuation factor of the prefabricated power cabin during the power detection period, and the average output frequency of the prefabricated power cabin during the power detection period. In this embodiment, the power imbalance evaluation factor of the prefabricated power cabin represents the numerical value of the power imbalance degree of the prefabricated power cabin. The specific analysis method is as follows:

[0066]

[0067] Where PIE is the power imbalance evaluation factor of the power prefabricated cabin, CRI is the communication reliability index of the power prefabricated cabin, B is the weight factor corresponding to the communication reliability index preset in the control database, MPD is the maximum phase difference of the power prefabricated cabin within the power detection period, CP is the output current fluctuation factor of the power prefabricated cabin within the power detection period, FD is the average output frequency of the power prefabricated cabin within the power detection period, t1 is the power imbalance evaluation influencing factor corresponding to the maximum phase difference unit value preset in the control database, ΔCP is the output current fluctuation factor reference value preset in the control database, ΔFD is the reference average output frequency preset in the control database, and e is a natural constant.

[0068] The weight factor corresponding to the above-mentioned communication reliability index represents the proportion of the communication reliability index of the power prefabricated cabin to the power imbalance evaluation factor of the power prefabricated cabin. The control database stores the corresponding relationship between the communication reliability index of the power prefabricated cabin and its corresponding weight factor. For example, if the communication reliability index of the power prefabricated cabin is input into the control database, the control database can match the weight factor corresponding to the communication reliability index.

[0069] The power imbalance evaluation influence factor corresponding to the above-mentioned maximum phase difference unit value represents the degree of influence of the maximum phase difference unit value on the power imbalance evaluation factor of the power prefabricated cabin. The control database stores the corresponding relationship between the maximum phase difference and its corresponding power imbalance evaluation influence factor. For example, when the maximum phase difference is input into the control database, the control database can match the power imbalance evaluation influence factor corresponding to the maximum phase difference unit value.

[0070] The above-mentioned output current fluctuation factor reference value represents the reference value of the output current fluctuation factor of the power prefabricated cabin during the power detection period; the above-mentioned reference average output frequency represents the reference value of the average output frequency of the power prefabricated cabin during the power detection period.

[0071] It needs to be explained that when power imbalance occurs in the power prefabricated cabin, such as current fluctuation, phase deviation or output power mismatch, these imbalances will not only affect the overall stable operation of the power system, but may also have a negative impact on the communication quality through electromagnetic interference and other means. Therefore, there is a close connection between the communication and power operation of the power prefabricated cabin. Therefore, the communication reliability index of the power prefabricated cabin and the power imbalance evaluation factor of the power prefabricated cabin are integrated and analyzed. At the same time, when the maximum phase difference of the power prefabricated cabin is large, it indicates that the power factor of the power prefabricated cabin decreases, which further causes the output current fluctuation factor to deviate significantly from the output current fluctuation factor reference value. The output current fluctuation factor is an important indicator for measuring current stability. If the output current fluctuation factor deviates significantly from the output current fluctuation factor reference value, it indicates that the power prefabricated cabin is in a state of power imbalance. The current changes more dramatically during the detection cycle, which may be caused by reasons such as load instability or fluctuations in the power grid, which further causes the average output frequency to deviate significantly from the reference average output frequency. The average output frequency is another important parameter of the operating status of the power prefabricated cabin, and its stability is crucial to the stable operation of the power system. When the average output frequency deviates from its reference value, it may mean that there is a mismatch between the output power of the power prefabricated cabin and the power grid demand. This mismatch further leads to an increase in the power imbalance evaluation factor. The power imbalance evaluation factor is a key indicator for measuring the balance state of the power output of the power prefabricated cabin. Its increase indicates that the stability of the power output of the power prefabricated cabin during the power detection cycle has decreased. Therefore, by analyzing the above parameters, the power anomaly of the power prefabricated cabin can be accurately identified.

[0072] In a specific embodiment, the present invention provides an automated scheduling method based on a prefabricated power cabin. By monitoring the operating environment parameters of the prefabricated power cabin, the risk impact factor of the environment on the operation of the prefabricated power cabin can be accurately assessed, so that the environmental automated scheduling process can be started in a targeted manner to ensure that timely and effective protective measures can be taken, and the adaptability and resistance of the prefabricated power cabin to extreme weather are enhanced, thereby ensuring the continuous and stable operation of the prefabricated power cabin and effectively reducing the risk of failure. Secondly, the communication parameters of the prefabricated power cabin are obtained and analyzed, and the communication reliability level is accurately quantified, which provides a strong basis for communication automated scheduling, ensures that the information transmission between the prefabricated power cabins and between the prefabricated power cabins and the control center is stable and efficient, and avoids power scheduling errors caused by communication failures. Finally, the power operating parameters of the prefabricated power cabin are collected and analyzed, and the power imbalance evaluation factor can be quickly determined, potential power imbalance problems can be identified in time, and based on this, it is decided whether to start the power automated scheduling process, thereby effectively maintaining the stability and safety of the power system and reducing the occurrence of power accidents.

[0073] Reference Figure 2As shown, the second aspect of the present invention provides a system applying the automated scheduling method based on the power prefabricated cabin as described above, including: an environmental assessment module, a communication analysis module and a power analysis module.

[0074] The second aspect of the present invention provides a system for applying an automated scheduling method based on a prefabricated power cabin as described above, and also includes a control database, which is used to store the average dust concentration limit value, the reference average wind speed, the reference dew point temperature difference, the environmental automation scheduling plan of the prefabricated power cabin, the reference transmission power of the operating environment of the prefabricated power cabin during the communication monitoring period, the weight factor corresponding to the risk impact factor, the average signal frequency limit offset, the average electromagnetic field strength limit value, the reference transmission power, the communication automation scheduling plan of the prefabricated power cabin, the weight factor corresponding to the communication reliability index, the power imbalance evaluation factor corresponding to the maximum phase difference unit value, the output current fluctuation factor reference value, the reference average output frequency, the power automation scheduling plan of the prefabricated power cabin, the risk impact threshold, the communication reliability threshold and the power imbalance evaluation threshold.

[0075] The environmental assessment module is connected to the communication analysis module, the communication analysis module is connected to the power analysis module, and the environmental assessment module, the communication analysis module and the power analysis module are all connected to the control database.

[0076] The environmental assessment module is used to perform decentralized control of the service area through the power prefabricated cabin, monitor the operating environment parameters of the power prefabricated cabin, evaluate the risk impact factor of the operating environment of the power prefabricated cabin, and compare it with the risk impact threshold. If the risk impact factor of the operating environment of the power prefabricated cabin is greater than the risk impact threshold, the environmental automation scheduling process of the power prefabricated cabin is carried out, and the communication parameters of the power prefabricated cabin are obtained. If the risk impact factor of the operating environment of the power prefabricated cabin is less than or equal to the risk impact threshold, the communication parameters of the power prefabricated cabin are directly obtained.

[0077] The communication analysis module is used to analyze the communication reliability index of the power prefabricated cabin based on the communication parameters of the power prefabricated cabin and the risk influencing factors of the operating environment of the power prefabricated cabin, and compare it with the communication reliability threshold. If the communication reliability index of the power prefabricated cabin is less than or equal to the communication reliability threshold, the communication automation scheduling process of the power prefabricated cabin is carried out, and the power operation parameters of the power prefabricated cabin are collected. If the communication reliability index of the power prefabricated cabin is greater than the communication reliability threshold, the power operation parameters of the power prefabricated cabin are directly collected.

[0078] The power analysis module is used to analyze the power imbalance evaluation factor of the power prefabricated cabin based on the power operation parameters of the power prefabricated cabin and the communication reliability index of the power prefabricated cabin, thereby determining whether to perform the power automation scheduling process of the power prefabricated cabin.

[0079] A third aspect of the present invention provides a computer-readable storage medium for storing a program, wherein when the program is executed by a processor, the program implements the automated scheduling method based on the power prefabricated cabin as described above.

[0080] The above content is merely an example and explanation of the structure of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they should all fall within the scope of protection of the present invention.

Claims

1. An automated dispatching method based on a power prefabricated cabin, characterized in that: include: Step 1: Decentralize the service area through the power prefabricated cabin, monitor the operating environment parameters of the power prefabricated cabin, and comprehensively evaluate the average dust concentration of the operating environment of the power prefabricated cabin during the environmental monitoring period, the average wind speed of the operating environment of the power prefabricated cabin during the environmental monitoring period, and the dew point temperature difference of the operating environment of the power prefabricated cabin during the environmental monitoring period, so as to evaluate the risk impact factor of the operating environment of the power prefabricated cabin and compare it with the risk impact threshold. If the risk impact factor of the operating environment of the power prefabricated cabin is greater than the risk impact threshold, the environmental automation scheduling process of the power prefabricated cabin is carried out, and the communication parameters of the power prefabricated cabin are obtained. If the risk impact factor of the operating environment of the power prefabricated cabin is less than or equal to the risk impact threshold, the communication parameters of the power prefabricated cabin are directly obtained. Step 2: Comprehensively analyze the risk influencing factors of the operating environment of the power prefabricated cabin, the average transmission power of the power prefabricated cabin during the communication monitoring period, the reference transmission power of the operating environment of the power prefabricated cabin during the communication monitoring period, the average electromagnetic field strength of the operating environment of the power prefabricated cabin during the communication monitoring period, and the average signal frequency offset of the power prefabricated cabin during the communication monitoring period, thereby analyzing the communication reliability index of the power prefabricated cabin and comparing it with the communication reliability threshold. If the communication reliability index of the power prefabricated cabin is less than or equal to the communication reliability threshold, the communication automation scheduling process of the power prefabricated cabin is carried out, and the power operation parameters of the power prefabricated cabin are collected. If the communication reliability index of the power prefabricated cabin is greater than the communication reliability threshold, the power operation parameters of the power prefabricated cabin are directly collected. Step 3: Comprehensively analyze the communication reliability index of the power prefabricated cabin, the maximum phase difference of the power prefabricated cabin during the power detection cycle, the output current fluctuation factor of the power prefabricated cabin during the power detection cycle, and the average output frequency of the power prefabricated cabin during the power detection cycle, so as to analyze the power imbalance evaluation factor of the power prefabricated cabin and determine whether to carry out the power automation dispatch process of the power prefabricated cabin.

2. The automated dispatching method based on the electric prefabricated cabin according to claim 1 is characterized in that: The risk impact factors of the operating environment of the power prefabricated cabin are evaluated. The specific evaluation process is as follows: The operating environment parameters of the power prefabricated cabin include the average dust concentration of the operating environment of the power prefabricated cabin during the environmental monitoring period, the average wind speed of the operating environment of the power prefabricated cabin during the environmental monitoring period, the average temperature of the operating environment of the power prefabricated cabin during the environmental monitoring period, and the average water vapor pressure of the operating environment of the power prefabricated cabin during the environmental monitoring period; The average water vapor pressure of the operating environment of the power prefabricated cabin during the environmental monitoring period is processed to obtain the average dew point temperature of the operating environment of the power prefabricated cabin during the environmental monitoring period, and the difference between the average water vapor pressure and the average temperature of the operating environment of the power prefabricated cabin during the environmental monitoring period is processed, and the processing result is marked as the dew point temperature difference of the operating environment of the power prefabricated cabin during the environmental monitoring period; Comprehensively evaluate the average dust concentration, average wind speed, and dew point temperature difference of the operating environment of the power prefabricated cabin during the environmental monitoring period to obtain the risk impact factor of the operating environment of the power prefabricated cabin; The specific assessment method for the risk impact factor of the operating environment of the power prefabricated cabin is as follows: ； Where, is the risk influencing factor of the operating environment of the power prefabricated cabin, is the average dust concentration of the operating environment of the power prefabricated cabin during the environmental monitoring period, is the average wind speed of the operating environment of the power prefabricated cabin during the environmental monitoring period, It is the dew point temperature difference of the operating environment of the power prefabricated cabin during the environmental monitoring period. To control the average dust concentration limit value preset in the database, To control the reference average wind speed preset in the database, is the reference dew point temperature difference preset in the control database, and e is a natural constant.

3. The automated dispatching method based on the electric prefabricated cabin according to claim 1 is characterized in that: The specific process of the environmental automation scheduling process for the power prefabricated cabin is as follows: According to the risk influencing factors of the operating environment of the power prefabricated cabin, the environmental automation scheduling plan of the power prefabricated cabin is matched from the control database, and the power prefabricated cabin executes the environmental automation scheduling plan of the power prefabricated cabin, thereby completing the environmental automation scheduling process of the power prefabricated cabin.

4. The automated dispatching method based on the electric prefabricated cabin according to claim 1 is characterized in that: The communication reliability index of the power prefabricated cabin is analyzed, and the specific analysis process is as follows: The communication parameters of the power prefabricated cabin include the average transmission power of the power prefabricated cabin during the communication monitoring period, the average electromagnetic field strength of the operating environment of the power prefabricated cabin during the communication monitoring period, the frequency of each transmitted signal of the power prefabricated cabin during the communication monitoring period, and the reference signal frequency corresponding to each transmitted signal; According to the average electromagnetic field strength of the operating environment of the power prefabricated cabin during the communication monitoring period, matching the reference transmission power of the operating environment of the power prefabricated cabin during the communication monitoring period from the control database; Performing difference processing on the frequency of each transmitted signal of the electric prefabricated cabin during the communication monitoring period and the reference signal frequency corresponding to each transmitted signal to obtain the frequency deviation of each signal of the electric prefabricated cabin during the communication monitoring period, and performing mean processing to obtain the average signal frequency offset of the electric prefabricated cabin during the communication monitoring period; The communication reliability index of the power prefabricated cabin is obtained by comprehensively analyzing the risk influencing factors of the power prefabricated cabin's operating environment, the average transmission power of the power prefabricated cabin during the communication monitoring period, the reference transmission power of the power prefabricated cabin's operating environment during the communication monitoring period, the average electromagnetic field strength of the power prefabricated cabin's operating environment during the communication monitoring period, and the average signal frequency offset of the power prefabricated cabin during the communication monitoring period. The communication reliability index of the power prefabricated cabin is specifically analyzed as follows: ； Where, The communication reliability index of the power prefabricated cabin, is the risk influencing factor of the operating environment of the power prefabricated cabin, To control the weight factors corresponding to the risk impact factors preset in the database, is the average signal frequency deviation of the power prefabricated cabin during the communication monitoring period, is the average electromagnetic field strength of the operating environment of the power prefabricated cabin during the communication monitoring period, is the average transmission power of the power prefabricated cabin during the communication monitoring period, Defines an offset to the mean signal frequency preset in the control database, The average electromagnetic field strength limit value preset in the control database is is the reference transmission power of the operating environment of the power prefabricated cabin during the communication monitoring period, and e is a natural constant.

5. The automated dispatching method based on the electric power prefabricated cabin according to claim 1 is characterized in that: The communication automation dispatch process of the power prefabricated cabin is as follows: According to the communication reliability index of the power prefabricated cabin, the communication automation scheduling plan of the power prefabricated cabin is matched from the control database, and the communication automation scheduling plan of the power prefabricated cabin is executed by the power prefabricated cabin until the communication reliability index of the power prefabricated cabin is greater than the communication reliability threshold, thereby completing the communication automation scheduling process of the power prefabricated cabin.

6. The automated dispatching method based on the electric prefabricated cabin according to claim 1 is characterized in that: The power imbalance evaluation factor of the power prefabricated cabin is analyzed, and the specific analysis process is as follows: The power operation parameters of the power prefabricated cabin include the real-time output power factor of the power prefabricated cabin during the power detection period, the output current change curve of the power prefabricated cabin during the power detection period, and the average output frequency of the power prefabricated cabin during the power detection period; Processing the real-time output power factor of the prefabricated power cabin during the power detection period to obtain the real-time phase difference of the prefabricated power cabin during the power detection period, and extracting the maximum value from the real-time phase difference of the prefabricated power cabin during the power detection period, marking it as the maximum phase difference of the prefabricated power cabin during the power detection period; Obtaining an average output current of the prefabricated power cabin during a power detection period, locating the highest point and the lowest point of the curve on an output current change curve of the prefabricated power cabin during the power detection period, obtaining the output current at the highest point of the curve and the output current at the lowest point of the curve, performing difference processing, performing ratio processing on the difference processing result and the average output current of the prefabricated power cabin during the power detection period, and marking the processing result as the output current fluctuation factor of the prefabricated power cabin during the power detection period; The power imbalance evaluation factor of the power prefabricated cabin is obtained by comprehensively analyzing the communication reliability index of the power prefabricated cabin, the maximum phase difference of the power prefabricated cabin during the power detection cycle, the output current fluctuation factor of the power prefabricated cabin during the power detection cycle, and the average output frequency of the power prefabricated cabin during the power detection cycle. The specific analysis method of the power imbalance evaluation factor of the power prefabricated cabin is as follows: ； Where, is the power imbalance evaluation factor of the power prefabricated cabin, The communication reliability index of the power prefabricated cabin, To control the weight factor corresponding to the communication reliability index preset in the database, is the maximum phase difference of the power prefabricated cabin during the power detection cycle, is the output current fluctuation factor of the power prefabricated cabin during the power detection cycle, is the average output frequency of the power prefabricated cabin during the power detection period, The power imbalance evaluation impact factor corresponding to the maximum phase difference unit value preset in the control database is: To control the output current fluctuation factor reference value preset in the database, is the reference average output frequency preset in the control database, and e is a natural constant.

7. The automated dispatching method based on the electric power prefabricated cabin according to claim 1 is characterized in that: The specific process of determining whether to perform the power automation dispatching process of the power prefabricated cabin is as follows: Comparing the power imbalance evaluation factor of the power prefabricated cabin with the power imbalance evaluation threshold; if the power imbalance evaluation factor of the power prefabricated cabin is greater than the power imbalance evaluation threshold, it is determined that the power automation dispatch process of the power prefabricated cabin will be carried out; If the power imbalance evaluation factor of the power prefabricated cabin is less than or equal to the power imbalance evaluation threshold, it is determined that there is no need to perform the power automation dispatch process of the power prefabricated cabin, and the operating environment parameters of the power prefabricated cabin are continuously monitored; The specific process of the power automation dispatching process of the power prefabricated cabin is as follows: According to the power imbalance evaluation factor of the power prefabricated cabin, the power automation dispatch plan of the power prefabricated cabin is matched from the control database, and the power automation dispatch plan of the power prefabricated cabin is executed by the power prefabricated cabin until the power imbalance evaluation factor of the power prefabricated cabin is less than or equal to the power imbalance evaluation threshold. At the same time, a power automation dispatch log is generated and fed back to the control center, thereby completing the power automation dispatch process of the power prefabricated cabin.

8. A system using the automated dispatching method based on a power prefabricated cabin according to any one of claims 1 to 7, characterized in that: include: The environmental assessment module is used to decentralized control the service area through the power prefabricated cabin, monitor the operating environment parameters of the power prefabricated cabin, evaluate the risk impact factor of the operating environment of the power prefabricated cabin, and compare it with the risk impact threshold. If the risk impact factor of the operating environment of the power prefabricated cabin is greater than the risk impact threshold, the environmental automation scheduling process of the power prefabricated cabin is carried out and the communication parameters of the power prefabricated cabin are obtained. If the risk impact factor of the operating environment of the power prefabricated cabin is less than or equal to the risk impact threshold, the communication parameters of the power prefabricated cabin are directly obtained; The communication analysis module is used to analyze the communication reliability index of the power prefabricated cabin based on the communication parameters of the power prefabricated cabin and the risk influencing factors of the operating environment of the power prefabricated cabin, and compare it with the communication reliability threshold. If the communication reliability index of the power prefabricated cabin is less than or equal to the communication reliability threshold, the communication automation scheduling process of the power prefabricated cabin is carried out and the power operating parameters of the power prefabricated cabin are collected. If the communication reliability index of the power prefabricated cabin is greater than the communication reliability threshold, the power operating parameters of the power prefabricated cabin are directly collected; The power analysis module is used to analyze the power imbalance evaluation factor of the power prefabricated cabin based on the power operation parameters of the power prefabricated cabin and the communication reliability index of the power prefabricated cabin, thereby determining whether to carry out the power automation dispatch process of the power prefabricated cabin.

9. A computer-readable storage medium for storing a program, wherein when the program is executed by a processor, the program implements the automated scheduling method based on the power prefabricated cabin according to any one of claims 1 to 7.

Images