A substation intelligent device automatic control system and method based on a cloud platform

Abstract

This invention belongs to the field of intelligent monitoring technology for substations based on cloud platforms. It proposes an automatic control system and method for intelligent substation equipment based on a cloud platform, which mainly includes: acquiring substation work process information through a cloud platform and generating inspection area information, inspection instructions, and preset communication frequency information; setting a second sensor in the inspection unit, and when receiving the inspection area information, inspection instructions, and communication frequency information from the cloud platform, generating inspection path information based on the inspection area information, and inspecting the intelligent equipment in the inspection area according to the inspection instructions and the inspection path information; during the inspection process, acquiring the second state information of the intelligent equipment and the first state information of the intelligent equipment under the preset communication frequency through the second sensor, and determining whether to generate early warning information based on the first state information and / or the second state information.

Description

Technical Field

[0001] This invention relates to the field of intelligent monitoring technology for substations based on cloud platforms, and particularly to an automatic control system and method for intelligent substation equipment based on a cloud platform. Background Technology

[0002] With the increasing maturity of wind power, solar power and hydrogen production technologies, their application in substations is becoming more and more widespread.

[0003] In traditional substations, components requiring monitoring, such as transformers, incoming lines, outgoing lines, and switchgear, are located in different positions depending on the substation's operational process. For example, in substations primarily responsible for storing electrical energy, power typically comes from transmission lines, wind power, and solar power lines to the transformer. After voltage conversion by the transformer, the energy is stored in large-capacity capacitors. In this case, the monitoring needs to include the corresponding circuit breaker switches, the turns ratio of the transformer's primary and secondary sides, and the energy storage status of each energy storage capacitor. Furthermore, if the stored energy in each energy storage capacitor reaches its storage capacity threshold, the management may directly supply the user load from the transformer's secondary side. In this case, the switches corresponding to the voltage output terminals of the transformer's secondary side also need to be monitored. In other cases, for transformers primarily responsible for power transmission, the substation typically steps up the voltage of various incoming lines (including wind and solar power) and directly transmits it as high voltage through the outgoing lines. Although many substations also consider storing some energy for backup, the focus here is more on controlling the opening and closing status of the circuit breakers at each output terminal.

[0004] Therefore, under different substation work procedures, due to the large differences in the distribution of the components that need to be monitored, even if an automatic inspection method is used for monitoring, there will still be problems such as difficulty in path planning and low inspection efficiency. Summary of the Invention

[0005] The purpose of this invention is to provide an automatic control system and method for intelligent equipment in substations based on a cloud platform. This system can configure the inspection area and inspection path of the inspection unit in conjunction with the work procedures of the substation, and combine it with the self-monitoring function of the intelligent equipment to avoid the problems of difficult path planning and low inspection efficiency in the automatic inspection process.

[0006] The technical solution adopted by this invention to solve its technical problem is as follows: On one hand, the present invention provides an automatic control system for intelligent equipment in substations based on a cloud platform, comprising: The first sensor is installed in the intelligent equipment in the substation to monitor the first status information of the intelligent equipment in real time. The cloud platform is used to acquire the work process information of the substation, and based on the work process information, generate the inspection area information, inspection instructions and preset communication frequency information of the inspection unit when it conducts inspection in the corresponding inspection area and communicates with the corresponding first sensor in the intelligent device, and send them to the corresponding inspection unit. The inspection unit is equipped with a second sensor. When it receives inspection area information, inspection instructions, and communication frequency information from the cloud platform, it generates inspection path information based on the inspection area information and inspects the smart devices in the inspection area according to the inspection instructions and the inspection path information. During the inspection, it obtains the second status information of the smart devices and the first status information of the smart devices under the preset communication frequency through the second sensor, and determines whether to generate warning information based on the first status information and / or the second status information.

[0007] In some embodiments, the cloud platform stores unique identification information corresponding to the inspection unit in the substation; After the smart devices in the substation are installed, the unique identification information is obtained from the cloud platform.

[0008] In some embodiments, after the equipment in the substation obtains unique identification information from the cloud platform, and before the inspection unit inspects the smart devices in its inspection area according to the inspection instructions and inspection path information, the method further includes: The inspection unit sends the inspection path information to the cloud platform, which then sends it to the smart devices in the corresponding inspection area of ​​the substation. The inspection path information of the inspection area includes the inspection nodes and the inspection time of the corresponding inspection nodes.

[0009] In some embodiments, each smart device in the substation includes a first processor and a first memory; The first memory is used to store the parameter threshold of the first state information of the current smart device, the inspection path information of the inspection unit in the inspection area, and the unique identification information of the inspection unit in the inspection area. The first processor is used to obtain the first state information of the smart device monitored in real time by the first sensor, and compare it with the parameter threshold of the first state information in the first memory, and determine whether to generate the initial warning information based on the comparison result.

[0010] In some embodiments, the first sensor is a displacement sensor; The first state information of the intelligent device refers to the displacement information when the selected switch is opened or closed. The parameter threshold of the first state information of the intelligent device refers to the displacement value of the displacement component being greater than or equal to the first preset displacement value when the selected switch is determined to be open, and the displacement value of the displacement component being less than or equal to the second preset displacement value when the selected switch is determined to be closed.

[0011] In some embodiments, the first processor obtains the first state information of the smart device monitored in real time by the first sensor, compares it with the parameter threshold of the first state information stored in the first memory, and determines whether to generate initial warning information based on the comparison result. This means: The first processor obtains the switching control command of the selected switch from the smart device from the cloud platform and obtains the displacement information of the selected switch from the first sensor: If the switch control command is to control the selected switch to open the gate, the first processor obtains the displacement information of the selected switch through the first sensor, and compares the displacement value corresponding to the displacement information with the first preset displacement value. If it is greater than or equal to the first preset displacement value, it is determined that no initial warning information is generated; otherwise, an initial warning information is generated. If the switch control command is to control the selected switch to close, the first processor obtains the displacement information of the selected switch through the first sensor and compares the displacement value corresponding to the displacement information with the second preset displacement value. If it is less than or equal to the second preset displacement value, it is determined that no initial warning information is generated; otherwise, an initial warning information is generated.

[0012] In some embodiments, the first memory further stores the first location information of the current smart device; The second sensor is an image sensor; The second state information of the smart device refers to the image information of the selected switch in the smart device obtained by the second sensor at the corresponding inspection node and inspection time.

[0013] In some embodiments, the inspection unit is a drone or an intelligent robot, and the inspection unit includes a positioning module, a second processor, and a second memory; The positioning module is used to obtain the second location information of the inspection unit during the inspection process; The second storage unit is used to store parameter thresholds, inspection area information, inspection instructions, preset communication frequency information, and inspection path information of the second state information; The second processor is used to inspect the corresponding time at each inspection node in the inspection area according to the inspection path in the inspection area according to the inspection instruction, and to judge in real time whether each inspection node and the inspection path under the inspection time are normal during the inspection process through the second location information. If it is normal, the processor configures the communication frequency for the inspection unit under the current inspection path to communicate with the corresponding smart device at each inspection node, and obtains the first location information of the corresponding smart device under the communication frequency. It is used to match the smart devices used for monitoring by the inspection nodes based on the first and second location information, and to obtain the image information of the selected switch in the matched smart device through the second sensor at each inspection node, and to parse it into a displacement value and compare it with the parameter threshold of the second state information, and to determine whether to generate real-time early warning information based on the comparison result.

[0014] In some embodiments, the second processor matches the smart device used for monitoring by the inspection node based on the first location information and the second location information, which means: Calculate the difference between the first location information corresponding to the smart device and the second location information under each inspection node, and select the one with the smallest difference as the smart device to be matched with the inspection node for monitoring. The step of determining whether to generate a real-time warning based on the comparison result refers to: The second processor, at a preset communication frequency, acquires the switching command for monitoring smart devices that matches the current inspection unit and determines whether there is an initial warning message. If the switch control command is to control the selected switch to open the gate, the second processor obtains the image information of the selected switch through the second sensor and compares the displacement value corresponding to the image information with the first preset displacement value. If it is greater than or equal to the first preset displacement value and there is no initial warning information, it is determined that no real-time warning information will be generated; otherwise, real-time warning information will be generated. If the switch control command is to control the selected switch to close, the second processor obtains the image information of the selected switch through the second sensor and compares the displacement value corresponding to the image information with the second preset displacement value. If it is less than or equal to the second preset displacement value and there is no initial warning information, it is determined that no real-time warning information will be generated; otherwise, real-time warning information will be generated.

[0015] On the other hand, the present invention also provides an automatic control method for intelligent substation equipment based on a cloud platform, applied to an automatic control system for intelligent substation equipment based on a cloud platform as described above, comprising the following steps: A first sensor is installed in the intelligent equipment in the substation, and the first sensor monitors the first status information of the intelligent equipment in real time. The system obtains the substation's work procedure information through the cloud platform, and generates inspection area information, inspection instructions, and preset communication frequency information for the inspection unit to communicate with the corresponding first sensor's intelligent device when the inspection unit is conducting inspections in the corresponding inspection area based on the work procedure information, and sends them to the corresponding inspection unit. A second sensor is set up in the inspection unit. When it receives the inspection area information, inspection instructions and communication frequency information from the cloud platform, it generates inspection path information based on the inspection area information, and performs inspection on the smart devices in the inspection area according to the inspection instructions and the inspection path information. During the inspection, the second sensor acquires the second state information of the smart device and the first state information of the smart device at a preset communication frequency. Based on the first state information and / or the second state information, it is determined whether to generate an early warning message.

[0016] The beneficial effects of this invention are as follows: On the one hand, this invention utilizes the substation's work procedures to calculate the inspection area and inspection path, avoiding the problems of difficult path planning and low inspection efficiency caused by the scattered distribution of monitored intelligent devices in traditional automatic inspections. On the other hand, this invention can utilize the centralized management function of a cloud platform to manage multiple substations simultaneously. It also utilizes the data monitoring and data processing functions of the monitored intelligent devices themselves, combined with the inspection unit for two-level early warning monitoring, thereby further ensuring the accuracy of the monitored intelligent device status during automatic inspections. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of the composition structure of a cloud platform-based automatic control system for substation intelligent equipment in Embodiment 1 of the present invention. Figure 2 This is a flowchart of an automatic control method for intelligent substation equipment based on a cloud platform, according to Embodiment 2 of the present invention. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0019] Example 1

[0020] This embodiment provides an automatic control system for intelligent equipment in a substation based on a cloud platform. See the schematic diagram of its structure below. Figure 1 The system may include: The first sensor is installed in the intelligent equipment in the substation to monitor the first status information of the intelligent equipment in real time. The cloud platform is used to acquire the work process information of the substation, and based on the work process information, generate the inspection area information, inspection instructions and preset communication frequency information of the inspection unit when it conducts inspection in the corresponding inspection area and communicates with the corresponding first sensor in the intelligent device, and send them to the corresponding inspection unit. The inspection unit is equipped with a second sensor. When it receives inspection area information, inspection instructions, and communication frequency information from the cloud platform, it generates inspection path information based on the inspection area information and inspects the smart devices in the inspection area according to the inspection instructions and the inspection path information. During the inspection, it obtains the second status information of the smart devices and the first status information of the smart devices under the preset communication frequency through the second sensor, and determines whether to generate warning information based on the first status information and / or the second status information.

[0021] In practical applications, the work procedures of a substation are generally determined by the main work processes it undertakes at a specific time. For example, if a substation mainly undertakes voltage boosting, the intelligent devices to be monitored would be transformers, circuit breakers, or smart switches related to voltage boosting. If a substation mainly undertakes energy storage, the intelligent devices to be monitored would be capacitors or other energy storage units related to energy storage. Generally, the division of substation work procedures depends on the substation's hardware configuration and software implementation conditions, as well as the management plans of managers for substations in different regions. However, regardless of the work procedure, the main unmanned inspection and monitoring objects generally have built-in self-monitoring modules, such as temperature warning modules, voltage monitoring modules, and transformer self-monitoring modules. These built-in self-monitoring modules may not be able to transmit alarm information to the management terminal in a timely manner due to their distribution location, or they may no longer have alarm functions due to equipment damage. Therefore, the implementation of automatic inspection is more in line with the comprehensive monitoring needs of substations.

[0022] It should be noted that regardless of the work process of the substation, the standard for judging whether it is normal is the opening and closing status of the switches in the monitored intelligent equipment. The intelligent equipment in the substation has been given corresponding data processing capabilities. The traditional self-monitoring and self-alarm function of intelligent equipment is only to issue an alarm when the opening and closing status of the built-in switch does not meet the expectations. However, in order to more comprehensively realize the comprehensive monitoring needs of the entire substation, this embodiment introduces an inspection unit. At the same time, a cloud platform is introduced to centrally monitor and manage substations in different areas.

[0023] It should be noted that after an inspection unit is deployed in a substation, the traditional inspection path planning problem still relies on the location information of the monitored equipment in the substation. In other words, the location distribution of the monitored equipment directly affects the difficulty of the path planning algorithm. Therefore, to avoid large differences in path planning and over-reliance on path planning algorithms, this embodiment needs to rely on the substation's work procedures and generate inspection area information, inspection instructions, and preset communication frequency information for the inspection unit to communicate with the corresponding intelligent device containing the first sensor when conducting inspections in the corresponding inspection area, based on the work procedure information, on the cloud platform, and then send these to the corresponding inspection unit.

[0024] In practical applications, substations utilize various types of intelligent devices, and not all devices require monitoring under different work processes. Furthermore, even across all work processes, not all intelligent devices need to be monitored by the inspection unit. This results in a large number of signal frequency bands during wireless signal transmission due to the diverse types of intelligent devices in the substation, potentially leading to signal loss. Therefore, in this embodiment, while generating inspection area information and inspection commands for the inspection unit, it is also necessary to determine the communication frequency between the inspection unit and the intelligent device containing the first sensor during inspection within the inspection area to avoid signal loss.

[0025] To prevent different inspection units from communicating with smart devices in other inspection areas within their respective inspection areas, this embodiment needs to ensure that the inspection units in the current inspection area can identify the corresponding monitored smart devices during inspection. Therefore, a unique identifier can be set for each inspection unit and stored in the smart devices monitored during inspection. Thus, in this embodiment, the cloud platform stores the unique identifier information corresponding to the inspection units in the substation; after the smart devices in the substation are installed, the unique identifier information is obtained from the cloud platform.

[0026] In practical applications, after the equipment in the substation obtains unique identification information from the cloud platform, and before the inspection unit inspects the intelligent equipment in its inspection area according to the inspection instructions and inspection path information, the process may further include: The inspection unit sends the inspection path information to the cloud platform, which then sends it to the smart devices in the corresponding inspection area of ​​the substation. The inspection path information of the inspection area includes the inspection nodes and the inspection time of the corresponding inspection nodes.

[0027] Here, the setting of inspection nodes and inspection time needs to be based on the inspection area. Staff can adjust it based on the location distribution of smart devices in the inspection area. However, once set, the inspection unit should strictly follow the order of inspection nodes and the corresponding inspection time when conducting inspections. If the inspection time of a certain inspection node exceeds the preset inspection time, the inspection unit may be malfunctioning or the inspection path information may need to be adjusted.

[0028] In order to realize the self-monitoring function of the intelligent device and the inspection and monitoring function realized by its communication with the inspection unit, in this embodiment, each intelligent device in the substation includes a first processor and a first memory. The first memory is used to store the parameter threshold of the first state information of the current smart device, the inspection path information of the inspection unit in the inspection area, and the unique identification information of the inspection unit in the inspection area. The first processor is used to obtain the first state information of the smart device monitored in real time by the first sensor, and compare it with the parameter threshold of the first state information in the first memory, and determine whether to generate the initial warning information based on the comparison result.

[0029] Generally, intelligent devices require the selection of monitored objects. In this embodiment, even though the intelligent devices to be monitored differ depending on the work process of the substation, they are generally switches in different processes. The self-monitoring of the switch's open and closed state can be determined by the displacement information of the switch's blade (displacement component). Therefore, the first sensor in the intelligent device is generally a displacement sensor. Since the inspection unit needs to monitor the intelligent device subsequently, the second sensor in the inspection unit can be an image sensor. Therefore, in this embodiment, the first sensor is a displacement sensor. The first state information of the intelligent device refers to the displacement information when the selected switch is open or closed. The parameter threshold of the first state information of the intelligent device refers to the displacement value of the displacement component being greater than or equal to the first preset displacement value when the selected switch is determined to be open, and the displacement value of the displacement component being less than or equal to the second preset displacement value when the selected switch is determined to be closed.

[0030] Specifically, the first processor acquires the first state information of the smart device being monitored in real time by the first sensor, compares it with the parameter threshold of the first state information stored in the first memory, and determines whether to generate initial warning information based on the comparison result. The first processor obtains the switching control command of the selected switch from the smart device from the cloud platform and obtains the displacement information of the selected switch from the first sensor: If the switch control command is to control the selected switch to open the gate, the first processor obtains the displacement information of the selected switch through the first sensor, and compares the displacement value corresponding to the displacement information with the first preset displacement value. If it is greater than or equal to the first preset displacement value, it is determined that no initial warning information is generated; otherwise, an initial warning information is generated. If the switch control command is to control the selected switch to close, the first processor obtains the displacement information of the selected switch through the first sensor and compares the displacement value corresponding to the displacement information with the second preset displacement value. If it is less than or equal to the second preset displacement value, it is determined that no initial warning information is generated; otherwise, an initial warning information is generated.

[0031] Here, after the initial warning information is generated, the traditional processing method is to send it directly to the cloud platform or to the management terminal. However, at this time, due to the damage of the switch or the loss or false alarm of the warning information, the alarm can be triggered after the real-time warning information of the subsequent inspection unit is generated.

[0032] Since this embodiment relies on the location information of the smart device and the location information of the inspection unit during the generation of the inspection path information of the inspection unit, the first memory also stores the first location information of the current smart device; the second sensor is an image sensor; at this time, the second state information of the smart device refers to the image information of the selected switch in the smart device obtained by the second sensor at the corresponding inspection node and inspection time.

[0033] It should be noted that, since most of the intelligent devices that need to be inspected and monitored are located in ground substation cabinets, robots can be used as inspection units in this case. However, in some cases, the intelligent devices being monitored may be located at a high position or in a complex space. In this case, only drones can be used for aerial inspection. Therefore, in this embodiment, the inspection unit can be a drone or an intelligent robot. The inspection unit includes a positioning module, a second processor, and a second memory. The positioning module is used to obtain the second location information of the inspection unit during the inspection process; The second storage unit is used to store parameter thresholds, inspection area information, inspection instructions, preset communication frequency information, and inspection path information of the second state information; The second processor is used to inspect the corresponding time at each inspection node in the inspection area according to the inspection path in the inspection area according to the inspection instruction, and to judge in real time whether each inspection node and the inspection path under the inspection time are normal during the inspection process through the second location information. If it is normal, the processor configures the communication frequency for the inspection unit under the current inspection path to communicate with the corresponding smart device at each inspection node, and obtains the first location information of the corresponding smart device under the communication frequency. It is used to match the smart devices used for monitoring by the inspection nodes based on the first and second location information, and to obtain the image information of the selected switch in the matched smart device through the second sensor at each inspection node, and to parse it into a displacement value and compare it with the parameter threshold of the second state information, and to determine whether to generate real-time early warning information based on the comparison result.

[0034] Therefore, this embodiment can realize the overall monitoring function of inspection unit inspection and intelligent device self-monitoring.

[0035] In practical applications, due to differences in the types of intelligent devices and communication frequency bands within the substation during the inspection process, some information may be lost during transmission. Therefore, this embodiment needs to set the communication frequency between the inspection unit and the monitored intelligent device in the current inspection area. Thus, in this embodiment, the second processor matches the intelligent device used for monitoring by the inspection node based on the first and second location information, which means: Calculate the difference between the first location information corresponding to the smart device and the second location information under each inspection node, and select the one with the smallest difference as the smart device to be matched with the inspection node for monitoring. The step of determining whether to generate a real-time warning based on the comparison result refers to: The second processor, at a preset communication frequency, acquires the switching command for monitoring smart devices that matches the current inspection unit and determines whether there is an initial warning message. If the switch control command is to control the selected switch to open the gate, the second processor obtains the image information of the selected switch through the second sensor and compares the displacement value corresponding to the image information with the first preset displacement value. If it is greater than or equal to the first preset displacement value and there is no initial warning information, it is determined that no real-time warning information will be generated; otherwise, real-time warning information will be generated. If the switch control command is to control the selected switch to close, the second processor obtains the image information of the selected switch through the second sensor and compares the displacement value corresponding to the image information with the second preset displacement value. If it is less than or equal to the second preset displacement value and there is no initial warning information, it is determined that no real-time warning information will be generated; otherwise, real-time warning information will be generated.

[0036] Example 2

[0037] Based on Embodiment 1, this embodiment provides a cloud platform-based automatic control method for intelligent substation equipment, applied to the cloud platform-based automatic control system for intelligent substation equipment described in Embodiment 1. See the flowchart below. Figure 2 The method may include the following steps: S1. Install a first sensor in the intelligent equipment in the substation, and monitor the first status information of the intelligent equipment in real time through the first sensor; S2. Obtain the substation's work procedure information through the cloud platform, and generate the inspection area information, inspection instructions, and preset communication frequency information for the inspection unit to communicate with the corresponding first sensor's intelligent device when the inspection unit is conducting inspections in the corresponding inspection area based on the work procedure information, and send them to the corresponding inspection unit. S3. A second sensor is set in the inspection unit. When it receives the inspection area information, inspection instructions and communication frequency information from the cloud platform, it generates inspection path information based on the inspection area information, and performs inspection on the smart devices in the inspection area according to the inspection instructions and the inspection path information. S4. During the inspection process, the second state information of the intelligent device is obtained through the second sensor and the first state information of the intelligent device under the preset communication frequency is obtained. Based on the first state information and / or the second state information, it is determined whether to generate a warning information.

[0038] As can be seen from the description of Embodiment 1, the application scenario and implementation principle of this embodiment are the same as those of Embodiment 1, so they will not be repeated here.

[0039] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A cloud-based automatic control system for intelligent equipment in substations, characterized in that, include: The first sensor is installed in the intelligent equipment in the substation to monitor the first status information of the intelligent equipment in real time. The cloud platform is used to acquire the work process information of the substation, and based on the work process information, generate the inspection area information, inspection instructions and preset communication frequency information of the inspection unit when it conducts inspection in the corresponding inspection area and communicates with the corresponding first sensor in the intelligent device, and send them to the corresponding inspection unit. The inspection unit is equipped with a second sensor, which is used to generate inspection path information based on the inspection area information when it receives inspection area information, inspection instructions and communication frequency information from the cloud platform, and to inspect the smart devices in the inspection area according to the inspection instructions and the inspection path information. During the inspection process, the second sensor is used to obtain the second status information of the smart devices and the first status information of the smart devices under the preset communication frequency, and to determine whether to generate warning information based on the first status information and / or the second status information. Each intelligent device in the substation includes a first processor and a first memory; The first memory is used to store the parameter threshold of the first state information of the current smart device, the inspection path information of the inspection unit in the inspection area, and the unique identification information of the inspection unit in the inspection area. The first processor is used to obtain the first state information of the smart device monitored in real time by the first sensor, and compare it with the parameter threshold of the first state information in the first memory, and determine whether to generate the initial warning information based on the comparison result. The first memory also stores the first location information of the current smart device; The second sensor is an image sensor; The second state information of the smart device refers to the image information of the selected switch in the smart device obtained by the second sensor at the corresponding inspection node and inspection time. The inspection unit is a drone or an intelligent robot, and the inspection unit includes a positioning module, a second processor, and a second memory. The positioning module is used to obtain the second location information of the inspection unit during the inspection process; The second memory is used to store parameter thresholds, inspection area information, inspection instructions, preset communication frequency information, and inspection path information for the second state information; The second processor is used to inspect the corresponding time at each inspection node in the inspection area according to the inspection path in the inspection area according to the inspection instruction, and to judge in real time whether each inspection node and the inspection path under the inspection time are normal during the inspection process through the second location information. If it is normal, the processor configures the communication frequency for the inspection unit under the current inspection path to communicate with the corresponding smart device at each inspection node, and obtains the first location information of the corresponding smart device under the communication frequency. It is used to match the smart devices used for monitoring of the inspection nodes based on the first and second location information, and to obtain the image information of the selected switch in the matched smart device through the second sensor at each inspection node, and to parse it into a displacement value and compare it with the parameter threshold of the second state information, and to determine whether to generate real-time early warning information based on the comparison result. The second processor matches the smart device used for monitoring by the inspection node based on the first location information and the second location information, which means: Calculate the difference between the first location information corresponding to the smart device and the second location information under each inspection node, and select the one with the smallest difference as the smart device to be matched with the inspection node for monitoring. The step of determining whether to generate a real-time warning based on the comparison result refers to: The second processor, at a preset communication frequency, acquires the switching command for monitoring smart devices that matches the current inspection unit and determines whether there is an initial warning message. If the switch control command is to control the selected switch to open the gate, the second processor obtains the image information of the selected switch through the second sensor and compares the displacement value corresponding to the image information with the first preset displacement value. If it is greater than or equal to the first preset displacement value and there is no initial warning information, it is determined that no real-time warning information will be generated; otherwise, real-time warning information will be generated. If the switch control command is to control the selected switch to close, the second processor obtains the image information of the selected switch through the second sensor and compares the displacement value corresponding to the image information with the second preset displacement value. If it is less than or equal to the second preset displacement value and there is no initial warning information, it is determined that no real-time warning information will be generated; otherwise, real-time warning information will be generated.

2. The automatic control system for intelligent substation equipment based on a cloud platform according to claim 1, characterized in that, The cloud platform stores unique identification information corresponding to the inspection unit in the substation; After the smart devices in the substation are installed, the unique identification information is obtained from the cloud platform.

3. The automatic control system for intelligent equipment in a substation based on a cloud platform according to claim 2, characterized in that, After the equipment in the substation obtains its unique identifier from the cloud platform, and before the inspection unit inspects the intelligent equipment in its inspection area according to the inspection instructions and inspection path information, the process also includes: The inspection unit sends the inspection path information to the cloud platform, which then sends it to the smart devices in the corresponding inspection area of ​​the substation. The inspection path information of the inspection area includes the inspection nodes and the inspection time of the corresponding inspection nodes.

4. The automatic control system for intelligent equipment in a substation based on a cloud platform according to claim 1, characterized in that, The first sensor is a displacement sensor; The first state information of the intelligent device refers to the displacement information when the selected switch is opened or closed. The parameter threshold of the first state information of the intelligent device refers to the displacement value of the displacement component being greater than or equal to the first preset displacement value when the selected switch is determined to be open, and the displacement value of the displacement component being less than or equal to the second preset displacement value when the selected switch is determined to be closed.

5. The automatic control system for intelligent equipment in a substation based on a cloud platform according to claim 4, characterized in that, The first processor acquires the first state information of the smart device being monitored in real time by the first sensor, compares it with the parameter threshold of the first state information stored in the first memory, and determines whether to generate initial warning information based on the comparison result. The first processor obtains the switching control command of the selected switch from the smart device from the cloud platform and obtains the displacement information of the selected switch from the first sensor: If the switch control command is to control the selected switch to open the gate, the first processor obtains the displacement information of the selected switch through the first sensor, and compares the displacement value corresponding to the displacement information with the first preset displacement value. If it is greater than or equal to the first preset displacement value, it is determined that no initial warning information is generated; otherwise, an initial warning information is generated. If the switch control command is to control the selected switch to close, the first processor obtains the displacement information of the selected switch through the first sensor and compares the displacement value corresponding to the displacement information with the second preset displacement value. If it is less than or equal to the second preset displacement value, it is determined that no initial warning information is generated; otherwise, an initial warning information is generated.

6. A cloud-based automatic control method for intelligent substation equipment, applied to the cloud-based automatic control system for intelligent substation equipment as described in any one of claims 1-5, characterized in that, Includes the following steps: A first sensor is installed in the intelligent equipment in the substation to monitor the first status information of the intelligent equipment in real time. The system obtains the substation's work procedure information through the cloud platform, and generates inspection area information, inspection instructions, and preset communication frequency information for the inspection unit to communicate with the corresponding first sensor's intelligent device when the inspection unit is conducting inspections in the corresponding inspection area based on the work procedure information, and sends them to the corresponding inspection unit. A second sensor is set up in the inspection unit. When it receives the inspection area information, inspection instructions and communication frequency information from the cloud platform, it generates inspection path information based on the inspection area information, and performs inspection on the smart devices in the inspection area according to the inspection instructions and the inspection path information. During the inspection, the second sensor acquires the second state information of the smart device and the first state information of the smart device at a preset communication frequency. Based on the first state information and / or the second state information, it is determined whether to generate an early warning message.

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