A big data-based smart park energy operation and maintenance management method

Abstract

The application relates to a smart park energy operation and maintenance management method based on big data applied to the technical field of energy operation and maintenance management, wherein through the design of a fault prediction unit and a power consumption redistribution unit, power consumption equipment can be reselected at least twice, so that the power supply mode of the power consumption equipment is maintained in a safe and stable state, compared with the prior art, the occurrence of unplanned power outage is greatly reduced, and the economic loss caused by the unplanned power outage to the production activities of the smart park is effectively reduced; in cooperation with the setting of a contact precooling unit, the switch contact of a static switch (STS) can be pre-cooled in advance before power supply switching, the temperature peak value of the switch contact after switching can be effectively reduced in the vertical direction, the cooling time of the switch contact after switching can be reduced in the horizontal direction, the stable switching of the static switch (STS) to the power supply mode is effectively maintained, the smart power supply in the park is effectively maintained, and the stable operation of the power consumption equipment in the park is ensured.

Description

Technical Field

[0001] This invention relates to a method for energy operation and maintenance management in industrial parks, and more particularly to a smart industrial park energy operation and maintenance management method based on big data, applied in the field of energy operation and maintenance management technology. Background Technology

[0002] A smart park refers to a group of standard buildings or buildings that are generally planned and constructed by the government (or in cooperation with private enterprises), with complete and reasonable layout of water supply, power supply, gas supply, communication, roads, warehousing and other supporting facilities, and can meet the needs of production and scientific experiments in a specific industry. "Including industrial parks, industrial parks, logistics parks, urban industrial parks, science and technology parks, creative parks, etc."

[0003] Industrial parks typically house multiple factories and production workshops. Smart parks are generally powered by mains electricity. However, during the summer, the mains power supply is under heavy load, leading to unplanned power outages within the park. For production workshops, unplanned power outages can disrupt the continuous and stable production of their products, and cause damage or failure of some materials due to the inability to use them in time, resulting in significant economic losses.

[0004] To address the aforementioned issues, existing technologies generally employ renewable energy generation to reduce reliance on grid power. For example, Chinese Patent Specification CN117578420B discloses a data analysis-based industrial park power management system and method. However, renewable energy generation is heavily influenced by weather conditions. For instance, wind power and photovoltaic power generation cannot generate electricity continuously on windless or rainy days, affecting the park's power supply. Therefore, some industrial parks adopt a combination of renewable energy generation and grid power supply to mitigate the impact of unexpected grid power outages during peak electricity consumption periods on production within the park. For example, Chinese Patent Specification CN116979688A discloses an energy-saving industrial park power storage management system and method.

[0005] However, in the combination of renewable energy generation and grid power supply, voltage instability is prone to occur during the switching process between the two power supply methods. This can lead to sudden voltage drops, affecting the stability of electrical equipment. Furthermore, since both renewable energy generation and grid power supply have inherent instability, and current technologies often lack a clear definition of the switching timing when both are used together, the effectiveness in eliminating the instability of either power supply is limited. Summary of the Invention

[0006] In view of the above-mentioned prior art, the technical problem to be solved by the present invention is that both new energy power generation and mains power supply have certain instability, and when switching between these two power supply methods, there is a risk of sudden voltage drop, which affects the stability of electrical equipment.

[0007] To address the aforementioned issues, this invention provides a smart park energy operation and maintenance management method based on big data. This method is based on an energy operation and maintenance management system, which includes a management center, a multi-source data acquisition module connected to the management center, a cloud platform analysis module, and an operation and maintenance decision module. The cloud platform analysis module includes a data storage unit, a data processing unit, and a fault prediction unit. The operation and maintenance decision module includes an alarm unit, a maintenance strategy generation module, a scheduling unit, and a power supply switching unit. The power supply switching unit includes a pre-synchronization controller and a static switch (STS) installed on the power lines of the electrical equipment. The pre-synchronization controller is connected to the photovoltaic power generation module and the inverter in the mains power distribution module.

[0008] Energy operation and maintenance management methods include the following steps:

[0009] S1. Determining the power supply mode: First, select the appropriate power supply mode for the electrical equipment in the park according to different time points;

[0010] S2. Safety monitoring of power supply mode: When the mains power supply is used, the temperature, vibration and arc of the power distribution room, transformer and switch cabinet involved in the mains power supply module are monitored in real time through the multi-source data acquisition module. When the photovoltaic power supply is used, the hot spots, temperature, power and insulation performance of the photovoltaic modules and energy storage units are monitored in real time. The monitored data will be transmitted to the cloud platform analysis module for data storage and processing. Based on the data processing results, the fault prediction unit predicts the fault probability.

[0011] S21. When the predicted fault probability is greater than 70%, the power supply mode is switched directly through the power supply switching unit. At the same time, the maintenance strategy generation module automatically generates maintenance strategies based on the predicted fault points for maintenance personnel to refer to, and dispatches the corresponding maintenance personnel to carry out fault maintenance through the scheduling unit.

[0012] S22. When the predicted failure probability is between 50% and 70%, the maintenance strategy generation module also generates a maintenance strategy, prepares for power switching, and issues an alarm.

[0013] S23. When the predicted failure probability is less than 50%, only an alarm will be issued.

[0014] In the aforementioned smart park energy operation and maintenance management method based on big data, the design of fault prediction unit and power redistribution unit can reselect electrical equipment at least two levels, thereby maintaining the power supply mode of the electrical equipment in a safe and stable state. Compared with existing technologies, this significantly reduces the occurrence of unplanned power outages and effectively reduces the economic losses caused by unplanned power outages to the production activities of the smart park. Furthermore, the design of two independent batteries in the energy storage unit allows the backup energy storage battery to be temporarily connected to the circuit to maintain voltage during power switching or power abnormalities. Combined with the function of static switch (STS), seamless switching without power outages can be achieved to maintain the continuity of electrical equipment operation.

[0015] As a further improvement of this application, in step S1, before confirming the power supply mode, it is also necessary to classify the various electrical devices in the smart park to obtain level 1 electrical devices, level 2 electrical devices, and level 3 electrical devices. The classification standard is the degree of impact of unexpected power outages on the production process, and the degree of impact of level 1 electrical devices, level 2 electrical devices, and level 3 electrical devices on the production process decreases in that order after an unexpected power outage.

[0016] As a further improvement to this application, the operation and maintenance decision module also includes a power redistribution unit, which is connected to the power signal switch signal of each electrical device.

[0017] As a further improvement to this application, the energy operation and maintenance management method for selecting the power supply mode includes the following steps:

[0018] S11. First, confirm the current electricity consumption period and make a preliminary selection of the power supply mode: use photovoltaic power generation modules to supply power during peak electricity consumption periods and use the mains power distribution mode to supply power during off-peak electricity consumption periods.

[0019] S12. The power supply mode of each electrical device is selected a second time through the power redistribution unit:

[0020] A1. Detect the power of the energy storage unit in the photovoltaic power generation module. When the power is higher than 95%, switch to the photovoltaic power generation module to provide independent power to the electrical equipment during off-peak hours.

[0021] A2. When the energy storage unit's power is between 30% and 60%, it directly switches to the mains power distribution module for power supply during off-peak hours. During peak hours, the power redistribution unit switches the power supply mode of secondary and tertiary electrical equipment to the mains power distribution module for power supply, while primary electrical equipment independently uses photovoltaic power generation mode for power supply.

[0022] A3. When the energy storage unit's power drops below 30%, the power redistribution unit switches the power supply mode of the primary electrical equipment to the mains power distribution module. During off-peak hours, the energy storage unit is also connected to the mains power distribution module for auxiliary charging until the power consumption rises back to above 30%, ensuring that the energy storage unit always has power and preventing the power from dropping suddenly to zero, thus effectively guaranteeing stable power supply for the electrical equipment.

[0023] As a further improvement of this application, before each power supply switch, the pre-synchronization controller controls the inverter phase, frequency and voltage of the target power supply module to be consistent with the phase, frequency and voltage of the current power supply module, thereby changing the switching process from "power outage switching" to "seamless switching" and providing grid-level power supply reliability for smart parks.

[0024] As a further improvement of this application, the energy operation and maintenance management system also includes a power monitoring unit for the energy storage unit. The power monitoring unit includes a current detection resistor, a timer, a calculation unit and a counter connected in series with the energy storage unit. The energy storage unit includes a main energy storage battery and a backup energy storage battery. The maximum energy storage capacity of the main energy storage battery is greater than the maximum energy storage capacity of the backup energy storage battery. The main energy storage battery and the backup energy storage battery are also connected to the power supply circuit through a static switch (STS). Under normal circumstances, the backup energy storage battery is not connected to the power supply circuit.

[0025] As a further improvement to this application, when charging the energy storage unit in step A3, the charging status is monitored simultaneously, and the specific steps are as follows:

[0026] A31. When the main energy storage battery is connected to the mains power for charging, the change in its power is detected by the current detection resistor. With the cooperation of the timer and the calculation unit, the power growth data a1 of the main energy storage battery per unit time is calculated and compared with the preset power growth data b1 per unit time. The difference between a1 and b1 is preset to be |X|.

[0027] A32. Stop charging when the battery level rises to more than 30%, or at least 45%.

[0028] A33. The timer is reset to zero and starts timing. It records the time a2 when the main energy storage battery's charge drops below 30% again, and compares it with the preset drop time b2. The preset difference between a2 and b2 is |Y|.

[0029] A34. When a1 is less than b1 and a2 is less than b2, the fault prediction unit predicts the performance degradation of the main energy storage battery and issues an alarm.

[0030] A35. Next, a difference comparison is performed. When the absolute value of the difference between a1 and b1 is greater than |X|, and the absolute value of the difference between a2 and b2 is greater than |Y|, the fault prediction unit predicts that the main energy storage battery is damaged. At this time, the backup energy storage battery is connected to the circuit to maintain the voltage of the energy storage unit. Then, the power switching unit switches the power supply of each electrical device to the mains power distribution module.

[0031] As a further improvement of this application, the outer surface of the switch contact of the static switch STS is attached with a contact precooling unit. The contact precooling unit includes a common heat sink, a common cold plate, and multiple matrix-distributed thermoelectric coolers located between the common heat sink and the common cold plate. The outer end of the thermoelectric cooler is connected to two pins. The multiple thermoelectric coolers are connected in parallel to each other and connected to the same power supply. The common cold plate is in contact with the outer wall of the switch contact.

[0032] As a further improvement of this application, a contact plate is provided between two adjacent rows of thermoelectric coolers. The contact plate is fixedly connected to a common heat sink. An insulating layer is fixedly embedded in the middle of the contact plate. The insulating layer divides the contact plate into two independent contact units. Two electromagnetic adsorption plates are fixedly connected to each of the two contact units. The two electromagnetic adsorption plates on the two contact units are staggered. The two contact units correspond to the pins of the two adjacent thermoelectric coolers, respectively.

[0033] As a further improvement of this application, a spiral wire is fixedly connected to the lower end of the pin, and a conductive sheet is fixedly connected to the lower end of the spiral wire. When energized, the electromagnetic adsorption sheet generates a magnetic attraction force on the conductive sheet.

[0034] In summary, through the design of the fault prediction unit and the power redistribution unit, at least two levels of reselection can be performed for electrical equipment, thereby maintaining the power supply mode of the equipment in a safe and stable state. Compared with existing technologies, this significantly reduces the occurrence of unplanned power outages and effectively reduces the economic losses caused by unplanned power outages to the production activities of the smart park. With the addition of the contact pre-cooling unit, the switch contacts of the static switch STS can be pre-cooled in advance before power supply switching. This effectively reduces the temperature peak of the switch contacts after switching in the vertical direction and reduces the cooling time of the switch contacts after switching in the horizontal direction, thereby effectively maintaining the stable switching of power supply mode by the static switch STS, thus effectively maintaining the smart power supply in the park and ensuring the stable operation of the park's electrical equipment. Attached Figure Description

[0035] Figure 1 The following is a block diagram illustrating the main principle of two power supply methods in the first embodiment of this application;

[0036] Figure 2 This is a main system block diagram of the first embodiment of this application;

[0037] Figure 3 This is a schematic block diagram illustrating fault prediction for mains power supply-related equipment according to the first embodiment of this application;

[0038] Figure 4 This is a schematic block diagram illustrating fault prediction for photovoltaic power supply-related equipment according to the first embodiment of this application;

[0039] Figure 5 A logic block diagram for multi-level selection of power supply mode in the first embodiment of this application;

[0040] Figure 6 This is a schematic diagram illustrating the switching between mains power supply and photovoltaic power supply in the first embodiment of this application;

[0041] Figure 7 A schematic diagram of a contact precooling unit provided on the surface of the switch contact of the static switch STS according to the second embodiment of this application;

[0042] Figure 8 This is a cross-sectional view of the contact precooling unit according to the second embodiment of this application;

[0043] Figure 9 This is a top view schematic diagram of the contact precooling unit according to the second embodiment of this application;

[0044] Figure 10 This is a top view of the contact piece according to the second embodiment of this application;

[0045] Figure 11 This is a top view of the second embodiment of this application when the contact piece and the pin are connected.

[0046] Figure 12 This is a schematic diagram showing the connection between the contact piece and the pin in the second embodiment of this application;

[0047] Figure 13 This is a temperature change curve during power supply switching when the switch contacts in the prior art do not have a contact pre-cooling unit.

[0048] Figure 14 This is a temperature change curve during power supply switching when a contact pre-cooling unit is provided at the switch contact in the second embodiment of this application.

[0049] Explanation of the labels in the diagram:

[0050] 1. Contact precooling unit, 11. Shared heat sink, 12. Semiconductor cooling chip, 13. Shared cold plate, 2. Pin, 201. Spiral wire, 202. Conductive sheet, 3. Connecting sheet, 301. Insulating layer, 302. Electromagnetic adsorption sheet. Detailed Implementation

[0051] The two embodiments of this application will be described in detail below with reference to the accompanying drawings.

[0052] First implementation method:

[0053] Figure 1-2 This paper illustrates a smart park energy operation and maintenance management method based on big data. The energy operation and maintenance management method is based on an energy operation and maintenance management system. The energy operation and maintenance management system includes a management center, a multi-source data acquisition module connected to the management center, a cloud platform analysis module, and an operation and maintenance decision module. The cloud platform analysis module includes a data storage unit, a data processing unit, and a fault prediction unit. The operation and maintenance decision module includes an alarm unit, a maintenance strategy generation module scheduling unit, and a power supply switching unit. The power supply switching unit includes a pre-synchronization controller and a static switch STS installed on the power line of the electrical equipment. The pre-synchronization controller is connected to the inverters in the photovoltaic power generation module and the mains power distribution module.

[0054] The energy operation and maintenance management method includes the following steps:

[0055] S1, such as Figure 5 Determining the power supply mode: First, select the appropriate power supply mode for the electrical equipment in the park according to different time points;

[0056] In step S1, before confirming the power supply mode, it is necessary to classify the electrical equipment in the smart park to obtain level 1 electrical equipment, level 2 electrical equipment, and level 3 electrical equipment. The classification standard is the degree of impact of unexpected power outages on the production process, and the degree of impact of unexpected power outages on the production process decreases sequentially from level 1 electrical equipment to level 2 electrical equipment and level 3 electrical equipment. The operation and maintenance decision module also includes a power redistribution unit, which is connected to the power signal switch signal of each electrical equipment.

[0057] The selection of the power supply mode and the energy operation and maintenance management method include the following steps:

[0058] S11. First, confirm the current electricity consumption period and make a preliminary selection of the power supply mode: use photovoltaic power generation modules to supply power during peak electricity consumption periods and use the mains power distribution mode to supply power during off-peak electricity consumption periods.

[0059] S12. The power supply mode of each electrical device is selected a second time through the power redistribution unit:

[0060] A1. Detect the power of the energy storage unit in the photovoltaic power generation module. When the power is higher than 95%, switch to the photovoltaic power generation module to provide independent power to the electrical equipment during off-peak hours.

[0061] A2. When the energy storage unit's power is between 30% and 60%, it directly switches to the mains power distribution module for power supply during off-peak hours. During peak hours, the power redistribution unit switches the power supply mode of secondary and tertiary electrical equipment to the mains power distribution module for power supply, while primary electrical equipment independently uses photovoltaic power generation mode for power supply.

[0062] A3. When the energy storage unit's power drops below 30%, the power redistribution unit switches the power supply mode of the primary electrical equipment to the mains power distribution module. During off-peak hours, the energy storage unit is also connected to the mains power distribution module for auxiliary charging until the power consumption rises back to above 30%, ensuring that the energy storage unit always has power and preventing the power from dropping suddenly to zero, thus effectively guaranteeing stable power supply for the electrical equipment.

[0063] S2. Safety monitoring of power supply mode: When the mains power supply is used, the temperature, vibration and arc of the power distribution room, transformer and switch cabinet involved in the mains power supply module are monitored in real time through the multi-source data acquisition module. When the photovoltaic power supply is used, the hot spots, temperature, power and insulation performance of the photovoltaic modules and energy storage units are monitored in real time. The monitored data will be transmitted to the cloud platform analysis module for data storage and processing. Based on the data processing results, the fault prediction unit predicts the fault probability.

[0064] S21. When the predicted fault probability is greater than 70%, the power supply mode is switched directly through the power supply switching unit. At the same time, the maintenance strategy generation module automatically generates maintenance strategies based on the predicted fault points for maintenance personnel to refer to, and dispatches the corresponding maintenance personnel to carry out fault maintenance through the scheduling unit.

[0065] S22. When the predicted failure probability is between 50% and 70%, the maintenance strategy generation module also generates a maintenance strategy, prepares for power switching, and issues an alarm.

[0066] S23. When the predicted failure probability is less than 50%, only an alarm will be issued.

[0067] As a further improvement of this application, before each power supply switch, the pre-synchronization controller controls the inverter phase, frequency, and voltage of the target power supply module to be consistent with the phase, frequency, and voltage of the current power supply module, thereby changing the switching process from "power outage switching" to "seamless switching", providing grid-level power supply reliability for smart parks and maintaining the stability of electrical equipment.

[0068] The energy operation and maintenance management system also includes a power monitoring unit for the energy storage unit. The power monitoring unit includes a current detection resistor, a timer, a calculation unit, and a counter connected in series with the energy storage unit. The energy storage unit includes a main energy storage battery and a backup energy storage battery. The maximum storage capacity of the main energy storage battery is greater than the maximum storage capacity of the backup energy storage battery. The main energy storage battery and the backup energy storage battery are also connected to the power supply circuit through a static switch (STS). Under normal circumstances, the backup energy storage battery is not connected to the power supply circuit.

[0069] During step A3, when charging the energy storage unit, the charging status is monitored simultaneously. The specific steps are as follows:

[0070] A31. When the main energy storage battery is connected to the mains power for charging, the change in its power is detected by the current detection resistor. With the cooperation of the timer and the calculation unit, the power growth data a1 of the main energy storage battery per unit time is calculated and compared with the preset power growth data b1 per unit time. The difference between a1 and b1 is preset to be |X|.

[0071] A32. Stop charging when the battery level rises to more than 30%, or at least 45%.

[0072] A33. The timer is reset to zero and starts timing. It records the time a2 when the main energy storage battery's charge drops below 30% again, and compares it with the preset drop time b2. The preset difference between a2 and b2 is |Y|.

[0073] A34. When a1 is less than b1 and a2 is less than b2, the fault prediction unit predicts the performance degradation of the main energy storage battery and issues an alarm.

[0074] A35. Next, a difference comparison is performed. When the absolute value of the difference between a1 and b1 is greater than |X|, and the absolute value of the difference between a2 and b2 is greater than |Y|, the fault prediction unit predicts that the main energy storage battery is damaged. At this time, the backup energy storage battery is connected to the circuit to maintain the voltage of the energy storage unit. Then, the power switching unit switches the power supply of each electrical device to the mains power distribution module. At the same time, the operation and maintenance decision module issues an alarm so that the staff can carry out the corresponding maintenance in a timely manner.

[0075] Through the design of fault prediction units and power redistribution units, at least two levels of reselection can be performed for electrical equipment, thereby maintaining the power supply mode of the equipment in a safe and stable state. Compared with existing technologies, this significantly reduces the occurrence of unplanned power outages and effectively reduces the economic losses caused by unplanned power outages to the production activities of smart parks. Furthermore, the design of two independent batteries in the energy storage unit allows the backup energy storage battery to be temporarily connected to the circuit to maintain voltage during power switching or power abnormalities. Combined with the function of static switch (STS), seamless switching without power interruption can be achieved to maintain the continuity of operation of electrical equipment.

[0076] Second implementation method:

[0077] This embodiment adds a contact precooling unit 1 based on the first embodiment, while the rest remains the same as the first embodiment.

[0078] Figure 7-9 As shown, the outer surface of the switch contact of the static switch STS is attached with a contact pre-cooling unit 1. The contact pre-cooling unit 1 includes a common heat sink 11, a common cold plate 13, and multiple matrix-distributed thermoelectric coolers 12 located between the common heat sink 11 and the common cold plate 13. Two pins 2 are connected to the outer end of each thermoelectric cooler 12. Multiple thermoelectric coolers 12 are connected in parallel and connected to the same power supply. The common cold plate 13 is in contact with the outer wall of the switch contact. During switching, the contact temperature rises rapidly due to the electric arc and inrush current. Because of the contact pre-cooling unit 1, its power supply can be turned on before switching to allow for rapid cooling. Figure 13-14 This directly pre-cools the switch contacts, causing their initial temperature to drop rapidly. Consequently, the peak temperature rise at the switch contacts during switching is reduced, and the cooling speed to normal temperature is increased and the time is shortened. This helps protect the switch from low temperatures and prevents abnormalities such as sticking or melting due to temporary abnormal high temperatures, thus effectively ensuring the stable operation of the static switch (STS).

[0079] The common heat sink 11 can be cooled by water or air, as is the case with existing technologies, which will not be elaborated on here. The common cold plate 13 is made of a high thermal conductivity material, such as copper.

[0080] like Figure 9-11 A contactor 3 is disposed between two adjacent rows of thermoelectric coolers 12. The contactor 3 is fixedly connected to a common heat sink 11. An insulating layer 301 is fixedly embedded in the middle of the contactor 3, dividing the contactor 3 into two independent contact units. Two electromagnetic adsorption plates 302 are fixedly connected to each of the two contact units, and the two electromagnetic adsorption plates 302 on the two contact units are staggered. The two contact units correspond to the pins 2 of the two adjacent thermoelectric coolers 12, respectively. Figure 12 A spiral wire 201 is fixedly connected to the lower end of pin 2, and a conductive sheet 202 is fixedly connected to the lower end of the spiral wire 201. When energized, the electromagnetic adsorption sheet 302 generates a magnetic attraction force on the conductive sheet 202.

[0081] By controlling the energization of different electromagnetic adsorption plates 302, the energized electromagnetic adsorption plate 302 will attract its corresponding conductive plate 202, causing the spiral wire 201 to extend and approach the electromagnetic adsorption plate 302 until it contacts the electromagnetic adsorption plate 302. This, in turn, energizes the corresponding thermoelectric cooler 12, thus initiating cooling. This allows for selective control of the number of energized thermoelectric coolers 12, enabling the overall cooling capacity to be controlled according to actual needs. For example, before switching, all thermoelectric coolers 12 can be connected to the circuit to fully pre-cool the switch contacts. When no switching is required, one or more thermoelectric coolers 12 can be energized to cool the interface, assisting in the cooling of existing technologies such as cooling fans that forcefully increase gas flow for heat dissipation, so that it maintains a relatively stable temperature under normal conditions, facilitating the stability of subsequent power supply switching.

[0082] With the addition of a contact pre-cooling unit, the switch contacts of the static switch STS can be pre-cooled before power switching, such as... Figure 13-14 Where c1 and c2 represent the temperature rise of the switch contact during switching with and without the contact pre-cooling unit 1, respectively, and d1 and d2 represent the time span for cooling down to normal temperature with and without the contact pre-cooling unit 1, respectively. Vertically, it can effectively reduce the temperature peak of the switch contact after switching, and horizontally, it can reduce the cooling time of the switch contact after switching. Under this bidirectional effect, it can effectively ensure the stable switching of the power supply mode by the static switch STS, and is less likely to cause the contact to melt and stick due to excessive temperature during switching, thus preventing the failure to switch in time. This effectively maintains the smart power supply in the park and ensures the stable operation of the park equipment.

[0083] In light of current practical needs, the above-described embodiments adopted in this application are not limited to these. Any changes made within the scope of knowledge possessed by those skilled in the art without departing from the concept of this application still fall within the protection scope of this invention.

Claims

1. A smart park energy operation and maintenance management method based on big data, characterized in that: The energy operation and maintenance management method is based on an energy operation and maintenance management system. The energy operation and maintenance management system includes a management center, a multi-source data acquisition module connected to the management center, a cloud platform analysis module, and an operation and maintenance decision module. The cloud platform analysis module includes a data storage unit, a data processing unit, and a fault prediction unit. The operation and maintenance decision module includes an alarm unit, a maintenance strategy generation module, a scheduling unit, and a power supply switching unit. The power supply switching unit includes a pre-synchronization controller and a static switch (STS) installed on the power lines of the electrical equipment. The pre-synchronization controller is connected to the inverters in the photovoltaic power generation module and the mains power distribution module. The operation and maintenance decision module also includes a power redistribution unit, which is connected to the power signal switch of each electrical equipment. The energy operation and maintenance management method includes the following steps: S1. Determining the power supply mode: First, select the appropriate power supply mode for the electrical equipment in the park according to different time points; S11. First, confirm the current electricity consumption period and make a preliminary selection of the power supply mode: use photovoltaic power generation modules to supply power during peak electricity consumption periods and use the mains power distribution mode to supply power during off-peak electricity consumption periods. S12. The power supply mode of each electrical device is selected a second time through the power redistribution unit: A1. Detect the power of the energy storage unit in the photovoltaic power generation module. When the power is higher than 95%, switch to the photovoltaic power generation module to provide independent power to the electrical equipment during off-peak hours. A2. When the energy storage unit's power is between 30% and 60%, it directly switches to the mains power distribution module for power supply during off-peak hours. During peak hours, the power redistribution unit switches the power supply mode of secondary and tertiary electrical equipment to the mains power distribution module for power supply, while primary electrical equipment independently uses photovoltaic power generation mode for power supply. A3. When the energy storage unit's power drops below 30%, the power redistribution unit switches the power supply mode of the primary electrical equipment to the mains power distribution module. During off-peak hours, the energy storage unit is also connected to the mains power distribution module for auxiliary charging until the power consumption rises back to above 30%, ensuring that the energy storage unit always has power and preventing the power from dropping suddenly to zero, thus effectively guaranteeing stable power supply for the electrical equipment. S2. Safety monitoring of power supply mode: When the mains power supply is used, the temperature, vibration and arc of the power distribution room, transformer and switch cabinet involved in the mains power distribution module are monitored in real time through the multi-source data acquisition module. When the photovoltaic power supply is used, the hot spots, temperature, power and insulation performance of the photovoltaic modules and energy storage units are monitored in real time. The monitored data is transmitted to the cloud platform analysis module for data storage and processing. Based on the data processing results, the fault prediction unit predicts the fault probability. S21. When the predicted fault probability is greater than 70%, the power supply mode is switched directly through the power supply switching unit. At the same time, the maintenance strategy generation module automatically generates maintenance strategies based on the predicted fault points for maintenance personnel to refer to, and dispatches the corresponding maintenance personnel to carry out fault maintenance through the scheduling unit. S22. When the predicted failure probability is between 50% and 70%, the maintenance strategy generation module also generates a maintenance strategy, prepares for power switching, and issues an alarm. S23. When the predicted failure probability is less than 50%, only an alarm will be issued.

2. The smart park energy operation and maintenance management method based on big data according to claim 1, characterized in that: In step S1, before confirming the power supply mode, it is necessary to classify the electrical equipment in the smart park to obtain level 1 electrical equipment, level 2 electrical equipment, and level 3 electrical equipment. The classification standard is the degree of impact of unexpected power outage on the production process, and the degree of impact of level 1 electrical equipment, level 2 electrical equipment, and level 3 electrical equipment on the production process decreases in that order after an unexpected power outage.

3. The smart park energy operation and maintenance management method based on big data according to claim 1, characterized in that: Before each power supply switch, the pre-synchronization controller controls the inverter phase, frequency, and voltage of the target power supply module to be consistent with the phase, frequency, and voltage of the current power supply module.

4. The smart park energy operation and maintenance management method based on big data according to claim 3, characterized in that: The energy operation and maintenance management system also includes a power monitoring unit for the energy storage unit. The power monitoring unit includes a current detection resistor, a timer, a calculation unit, and a counter connected in series with the energy storage unit. The energy storage unit includes a main energy storage battery and a backup energy storage battery. The maximum storage capacity of the main energy storage battery is greater than the maximum storage capacity of the backup energy storage battery. The main energy storage battery and the backup energy storage battery are also connected to the power supply circuit through a static switch (STS). Under normal circumstances, the backup energy storage battery is not connected to the power supply circuit.

5. The smart park energy operation and maintenance management method based on big data according to claim 4, characterized in that: During step A3, when charging the energy storage unit, the charging status is monitored simultaneously. The specific steps are as follows: A31. When the main energy storage battery is connected to the mains power for charging, the change in its power is detected by the current detection resistor. With the cooperation of the timer and the calculation unit, the power growth data a1 of the main energy storage battery per unit time is calculated and compared with the preset power growth data b1 per unit time. The difference between a1 and b1 is preset to be |X|. A32. Stop charging when the battery level rises to more than 30%, or at least 45%. A33. The timer is reset to zero and starts timing. It records the time a2 when the main energy storage battery's charge drops below 30% again, and compares it with the preset drop time b2. The preset difference between a2 and b2 is |Y|. A34. When a1 is less than b1 and a2 is less than b2, the fault prediction unit predicts the performance degradation of the main energy storage battery and issues an alarm. A35 then performs a difference comparison. When the absolute value of the difference between a1 and b1 is greater than |X|, and the absolute value of the difference between a2 and b2 is greater than |Y|, the fault prediction unit predicts that the main energy storage battery is damaged. At this time, it controls the backup energy storage battery to connect to the circuit to maintain the voltage of the energy storage unit. Then, the power switching unit switches the power supply of each electrical device to the mains power distribution module.

6. The smart park energy operation and maintenance management method based on big data according to claim 5, characterized in that: The static switch STS has a contact precooling unit (1) attached to the outer surface of the switch contact. The contact precooling unit (1) includes a common heat sink (11), a common cold plate (13), and a plurality of matrix-distributed semiconductor cooling chips (12) located between the common heat sink (11) and the common cold plate (13). The semiconductor cooling chips (12) have two pins (2) connected to their outer ends. The plurality of semiconductor cooling chips (12) are connected in parallel to each other and connected to the same power supply. The common cold plate (13) is in contact with the outer wall of the switch contact.

7. The smart park energy operation and maintenance management method based on big data according to claim 6, characterized in that: A contact plate (3) is provided between two adjacent rows of semiconductor cooling chips (12). The contact plate (3) is fixedly connected to a common heat sink (11). An insulating layer (301) is fixedly embedded in the middle of the contact plate (3). The insulating layer (301) divides the contact plate (3) into two independent contact units. Two electromagnetic adsorption plates (302) are fixedly connected to each of the two contact units. The two electromagnetic adsorption plates (302) on the two contact units are staggered. The two contact units correspond to the pins (2) of the two adjacent semiconductor cooling chips (12).

8. The smart park energy operation and maintenance management method based on big data according to claim 7, characterized in that: The lower end of the pin (2) is fixedly connected to a spiral wire (201), and the lower end of the spiral wire (201) is fixedly connected to a conductive sheet (202). When energized, the electromagnetic adsorption sheet (302) generates a magnetic attraction force on the conductive sheet (202).

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