A monitoring method and system for new energy power generation equipment

Abstract

This invention relates to the field of power generation equipment monitoring technology, and particularly to a monitoring method and system for new energy power generation equipment. The method includes: delineating the geographical boundaries of the new energy power generation equipment; reading the deployment locations of the monitoring equipment; collecting monitoring data; identifying the monitoring equipment closest to the geographical boundary and defining it as a source point; using the source point and a preset nearest neighbor algorithm to link all monitoring equipment to obtain a monitoring network topology; configuring the receiving distance of the gateway terminals pre-integrated in the monitoring equipment; and dividing the monitoring network topology into several segments, constructing multi-hop links in each segment. This invention utilizes drones for inspecting new energy power generation equipment, which greatly improves inspection efficiency. It also allows the inspection drones to serve as relay nodes for all monitoring data, saving on ground equipment deployment costs and time, and avoiding significant infrastructure investment and maintenance costs.

Description

Technical Field

[0001] This invention relates to the field of power generation equipment monitoring technology, and in particular to a monitoring method and system for new energy power generation equipment. Background Technology

[0002] New energy power generation equipment is equipment that uses renewable energy to produce electricity, mainly including solar, wind, and hydropower. In actual production, sensors are used to monitor the key parameters of new energy power generation equipment, and the collected sensor data is sent to the processing center. However, whether it is solar power generation or wind power generation, the power generation equipment is generally deployed in remote areas. Because these remote areas are far from cities and lack communication infrastructure, commonly used traditional communication methods, such as cellular networks and fiber optics, may not have sufficient coverage. How to stably and timely transmit the monitoring data to the processing center has become a key issue.

[0003] Therefore, "how to integrate monitoring data using a multi-hop network and transmit it via an inspection drone" is the technical problem that this invention aims to solve. Summary of the Invention

[0004] The purpose of this invention is to provide a monitoring method and system for new energy power generation equipment, so as to solve the problem mentioned in the background art of "how to integrate monitoring data using a multi-hop network and transmit it through an inspection drone".

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] A method for monitoring new energy power generation equipment, the method comprising:

[0007] The geographical boundaries of the new energy power generation equipment are defined, the deployment locations of the monitoring equipment are read, monitoring data is collected, the monitoring equipment closest to the geographical boundary is found and defined as the source point, and all monitoring equipment are linked using the source point and a preset nearest neighbor algorithm to obtain the monitoring network topology;

[0008] Configure the receiving distance of the gateway terminal pre-integrated in the monitoring device, and divide the monitoring network topology into several segments, and construct multi-hop links in each segment;

[0009] Create a data block corresponding to each monitoring device. Link the data blocks according to the multi-hop link to obtain several data chains. Upload the monitoring data corresponding to the monitoring device to the corresponding data block. Define the last data block in each data chain as the tail block. Build a forward transmission sequence with the tail block as the endpoint. Write the monitoring data in each data block into the tail block sequentially. Read the load of the tail block. If the load is greater than a preset threshold, build a reverse transmission sequence with the tail block as the starting point and correct the data chain.

[0010] Locate the position coordinates of the tail blocks in all data chains, integrate the source point and position coordinates, generate inspection routes, set inspection times, and integrate them to obtain an inspection timetable. Send the inspection timetable to the inspection drone, obtain the processing results of the monitoring data, and update the inspection timetable.

[0011] Furthermore, the steps of delineating the geographical boundary of the new energy power generation equipment, reading the deployment location of the monitoring equipment, collecting monitoring data, and finding the monitoring equipment closest to the geographical boundary and defining it as the source point include:

[0012] Configure the signal strength of the gateway terminal in each monitoring device, select the relay devices, and calculate the number of the relay devices;

[0013] According to the preset relay rules, all monitoring data in the tail blocks are sent to the relay device.

[0014] Furthermore, the method also includes:

[0015] The deployment location of the relay device is defined as the target location. The source point and the target location are integrated to generate a data collection route, and the inspection route is updated.

[0016] Set a fluctuation range corresponding to each monitoring data point. If the monitoring data exceeds the fluctuation range, generate a trigger signal, send the trigger signal to the inspection drone via the relay device, and create a takeoff command.

[0017] Furthermore, the step of configuring the receiving distance of the gateway terminal pre-integrated in the monitoring device includes:

[0018] Based on the monitoring network topology, the distance between two adjacent monitoring devices is calculated. If the distance is greater than the receiving distance, the monitoring network topology is segmented.

[0019] The order of the monitoring network topology is read, and the monitoring devices in each segment are numbered sequentially.

[0020] Furthermore, the step of uploading the monitoring data corresponding to the monitoring device to the corresponding data block, and defining the last data block in each data chain as the tail block, includes:

[0021] All the monitoring data are packetized to obtain data packets, and a mapping between data packets, numbers, and deployment locations is established.

[0022] Establish a data transmission link between the tail block and the inspection drone, and send all received data packets from the tail block to the inspection drone via the transmission link.

[0023] Furthermore, the step of reading the load of the tail block, and if the load is greater than a preset threshold, constructing a reverse transmission order starting from the tail block and correcting the data chain includes:

[0024] Configure the network attributes of the tail block, wherein the network attributes include at least: throughput, bandwidth, and cache capacity;

[0025] The network attribute is divided into several individual items, and real-time data of each individual item is collected. If the real-time data is greater than a preset threshold, a reverse transmission sequence is constructed.

[0026] Furthermore, the method also includes:

[0027] According to the numbering, select the first block, the second block, and the third block from each number chain;

[0028] An identifier is inserted into the first data block, a hash function is selected, and the identifier and the monitoring data in the first data block are hashed to obtain a first hash value;

[0029] The first hash value is sent to the second data block, and the monitoring data in the first and second data blocks are integrated to obtain the second hash value, and so on.

[0030] In each chain, the hash value received by the tail block is defined as a verification token. All verification tokens are integrated to obtain a verification list, which is then sent to the inspection drone.

[0031] Furthermore, the module is used to delineate the geographical boundaries of the new energy power generation equipment, read the deployment location of the monitoring equipment, collect monitoring data, find the monitoring equipment closest to the geographical boundary and define it as the source point, and use the source point and a preset nearest neighbor algorithm to link all the monitoring equipment to obtain the monitoring network topology;

[0032] The module is used to configure the receiving distance of the gateway terminal pre-integrated in the monitoring device, and to divide the monitoring network topology into several segments, and to build multi-hop links in each segment;

[0033] The correction module is used to create data blocks that correspond one-to-one with the monitoring devices, link the data blocks according to the multi-hop link to obtain several data chains, upload the monitoring data corresponding to the monitoring devices to the corresponding data blocks, and define the last data block in each data chain as the tail block. With the tail block as the endpoint, a forward transmission sequence is constructed, and the monitoring data in each data block is written into the tail block in sequence. The load of the tail block is read out. If the load is greater than a preset threshold, a reverse transmission sequence is constructed with the tail block as the starting point, and the data chain is corrected.

[0034] The update unit is used to locate the position coordinates of the tail block in all data chains, integrate the source point and position coordinates, generate the inspection route, set the inspection time, and integrate them to obtain the inspection timetable. The inspection timetable is then sent to the inspection drone to obtain the processing results of the monitoring data and update the inspection timetable.

[0035] Furthermore, the obtaining module includes:

[0036] The calculation unit is used to configure the signal strength of the gateway terminal in each monitoring device, select the relay device, and calculate the number of the relay device;

[0037] The transmitting unit is used to transmit the monitoring data in all tail blocks to the relay device according to the preset relay rules.

[0038] Furthermore, the building module includes:

[0039] The segmentation unit is used to calculate the distance between two adjacent monitoring devices based on the monitoring network topology. If the distance is greater than the receiving distance, the monitoring network topology is segmented.

[0040] The numbering unit is used to read the order of the monitoring network topology and number the monitoring devices in each segment in turn.

[0041] Compared with the prior art, the beneficial effects of the present invention are:

[0042] By constructing a monitoring network topology, the distribution of monitoring equipment can be displayed intuitively, reducing the workload of inspection drones. By constructing multi-hop links, the transmission method of monitoring data can be optimized, saving bandwidth and avoiding high communication costs caused by long-distance transmission. By constructing forward and reverse transmission sequences, the load of each gateway terminal can be balanced, optimizing transmission efficiency and expanding network coverage. By using inspection drones to inspect new energy power generation equipment, the inspection efficiency can be greatly improved. At the same time, the inspection drones can also serve as relay nodes for all monitoring data, saving the cost and time of ground equipment deployment, and also greatly improving the stability of monitoring data transmission. Attached Figure Description

[0043] Figure 1 A flowchart illustrating the monitoring method for new energy power generation equipment provided in an embodiment of the present invention;

[0044] Figure 2 This is a first sub-flowchart of the monitoring method for new energy power generation equipment provided in an embodiment of the present invention;

[0045] Figure 3 This is a second sub-flowchart of the monitoring method for new energy power generation equipment provided in an embodiment of the present invention;

[0046] Figure 4 This is a third sub-flowchart of the monitoring method for new energy power generation equipment provided in an embodiment of the present invention;

[0047] Figure 5 This is a block diagram of the monitoring system for new energy power generation equipment provided in an embodiment of the present invention;

[0048] Figure 6 A block diagram of the modules obtained in the monitoring system for new energy power generation equipment provided in the embodiments of the present invention;

[0049] Figure 7 A block diagram illustrating the composition of the building modules in the monitoring system for new energy power generation equipment provided in this embodiment of the invention;

[0050] Figure 8 This is a block diagram of the correction module in the monitoring system for new energy power generation equipment provided in an embodiment of the present invention. Detailed Implementation

[0051] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0052] In Example 1, Figure 1The implementation flow of the monitoring method for new energy power generation equipment provided in the embodiment of the present invention is shown below in detail:

[0053] S100: Define the geographical boundary of the new energy power generation equipment, read the deployment location of the monitoring equipment, collect monitoring data, find the monitoring equipment closest to the geographical boundary, define it as the source point, and use the source point and the preset nearest neighbor algorithm to link all the monitoring equipment to obtain the monitoring network topology.

[0054] Using geographic information systems and remote sensing data, combined with the construction plan of new energy power plants, the geographical boundaries of new energy power generation equipment are delineated, and the deployment locations of monitoring equipment within the area formed by these geographical boundaries are determined. The monitoring equipment includes electrical parameter monitoring equipment, environmental monitoring equipment, temperature, pressure, and stress monitoring equipment, etc. Monitoring data is collected at the deployment locations using these devices. Based on the deployment locations, the monitoring equipment closest to the geographical boundary is identified and defined as the source point. The source point has no special meaning; it is only used to represent the monitoring equipment closest to the geographical boundary. Starting from the source point, the nearest neighbor algorithm in existing technology is used to sequentially connect the monitoring equipment closest to the source point, forming a monitoring network topology from points to lines.

[0055] Using the monitoring device closest to the geographical boundary as the source point is only for quickly determining the starting point of the monitoring network topology; the source point can also be other monitoring devices.

[0056] For example, if there are five deployment locations A, B, C, D, and E, with C as the source point, then starting from C, find the monitoring device that is closest to C among A, B, D, and E. If it is B, then connect B to C, and so on, connecting all the monitoring devices in sequence to obtain the monitoring network topology; such as the CBADE monitoring network topology.

[0057] S200: Configure the receiving distance of the gateway terminal pre-integrated in the monitoring device, and divide the monitoring network topology into several segments, and construct a multi-hop link in each segment.

[0058] A gateway terminal is deployed in the new energy power generation equipment corresponding to each monitoring device. The gateway terminal has wireless communication capabilities (such as Wi-Fi, LoRa, and Zigbee) to form a wireless communication network, enabling data communication between new energy power generation equipment without relying on traditional 4G / 5G networks. The receiving distance of the gateway terminal is read from the equipment parameters. If the receiving distance is greater than the distance between the monitoring devices, the corresponding position in the monitoring network topology is segmented. After segmentation, multiple segments are obtained, and a multi-hop link is constructed using each segment. The multi-hop link is a data transmission method that forwards data through multiple relay nodes to transmit the data to the final target location.

[0059] For example, if only the gateway terminal signal of B can be retrieved within the receiving range of device A, then CBADE is divided into two segments, CBA and DE; and a multi-hop link is constructed, that is, in the CBA segment, the monitoring data in C is transmitted to B, the monitoring data of C and B are integrated, and forwarded to A at the same time. The DE segment is handled in the same way, thus constructing two multi-hop links.

[0060] S300: Create data blocks corresponding one-to-one with the monitoring devices, link the data blocks according to the multi-hop link to obtain several data chains, upload the monitoring data corresponding to the monitoring devices to the corresponding data blocks, and define the last data block in each data chain as the tail block. With the tail block as the endpoint, construct a forward transmission sequence, write the monitoring data in each data block into the tail block in sequence, read the load of the tail block, and if the load is greater than a preset threshold, construct a reverse transmission sequence with the tail block as the starting point and correct the data chain.

[0061] A data block is created for each monitoring device. The data block is the basic structure for storing data and is mainly used to represent the monitoring device. The monitoring data corresponding to each monitoring device is written into the corresponding data block. According to the data forwarding order in the multi-hop link, the data blocks in each segment are linked to obtain several data chains. The data chain is a set composed of data blocks. The last data block in the data chain is defined as the tail block. Specifically, in the CBA and DE multi-hop links (data chains), A and E are the tail blocks.

[0062] A forward transmission sequence is established, in which the monitoring data in each data chain is transmitted sequentially to the tail block, and the network load of each monitoring device is monitored. If the load exceeds a preset threshold, the monitoring data is transmitted using a reverse transmission sequence.

[0063] Continuing with the example in S200, in the CBA data chain, a forward transmission sequence is constructed from C to B to A. Following this forward transmission sequence, monitoring data from data block C is transmitted to data block B. In data block B, the received monitoring data is combined with its corresponding monitoring data, and the combined monitoring data is transmitted to data block A. Furthermore, if the network load in data block B exceeds a threshold, a reverse transmission sequence is constructed (i.e., from A to B to C), transmitting monitoring data from data block A to data block B. Data block B then transmits its received monitoring data and its corresponding monitoring data to data block C. This approach helps prevent network congestion and improves the stability and reliability of monitoring data transmission.

[0064] It is important to note that when constructing the forward transmission sequence, C is the tail block, and when constructing the reverse transmission sequence, A is the tail block.

[0065] S400: Locate the position coordinates of the tail block in all data chains, integrate the source point and position coordinates, generate the inspection route, set the inspection time, and integrate to obtain the inspection timetable. Send the inspection timetable to the inspection drone, obtain the processing results of the monitoring data, and update the inspection timetable.

[0066] Based on the construction plan of the new energy power plant, the location coordinates of each tail block are determined, with the source point as the starting and ending point, and the location coordinates of all tail blocks as waypoints (where waypoints can also be important equipment or nodes determined by professionals). Inspection routes are generated, and inspection times are determined, with the inspection times pre-determined by the management personnel of the new energy power plant. All inspection routes and times are integrated to generate an inspection timetable, which is then distributed to inspection drones. The inspection drones are used to inspect the tail blocks or important nodes. When the distance between the inspection drone and the tail block is less than the receiving distance, all monitoring data received from the tail block is uploaded to the inspection drone. The inspection drone then sends all monitoring data to a pre-set processing platform. The processing platform analyzes the monitoring data and updates the inspection timetable, including shortening or extending inspection monitoring periods.

[0067] Continuing with the example in S300, an inspection route is generated using the source point as the starting and ending point and the deployment locations of A and E as waypoints. The inspection drone inspects the monitoring equipment according to the inspection route. When the inspection drone enters the receiving range of A and E, all monitoring data from A and E are sent to the inspection drone, which then uploads the monitoring data to the processing platform. If the processing platform finds safety hazards in the new energy power generation equipment through analysis of the monitoring data, the inspection schedule is adjusted to shorten the inspection interval.

[0068] Depending on the specific equipment resources of the new energy power plant, 4G / 5G equipment can also be deployed near the tail block to replace drones in transmitting data to the processing platform, but this may result in high communication costs.

[0069] In Example 2, Figure 2 The implementation flow of the monitoring method for new energy power generation equipment provided in this embodiment of the invention is shown below. The steps of delineating the geographical boundary of the new energy power generation equipment, reading the deployment location of the monitoring equipment, collecting monitoring data, finding the monitoring equipment closest to the geographical boundary, and defining it as the source point are described in detail below:

[0070] S101: Configure the signal strength of the gateway terminal in each monitoring device, select the relay device, and calculate the number of the relay device.

[0071] Signal strength tests are performed on the gateway terminals in each monitoring device, and the gateway terminal with the best signal strength in each segment is selected and defined as a relay device. After the tail block receives all the monitoring data, it forwards the monitoring data in the tail block to the relay device, which then sends it to the inspection drone. The advantage of this is that it can improve data transmission efficiency and shorten the flight time of the inspection drone.

[0072] S102: According to the preset relay rules, send the monitoring data in all tail blocks to the relay device.

[0073] The relay rules are specific relay methods; for example, if a data chain has a large number of blocks, multiple relay devices can be selected, with each relay device responsible for uploading data from different tail blocks, and data transmission can be performed in parallel.

[0074] In Embodiment 3, unlike Embodiment 1, the method further includes:

[0075] The deployment location of the relay device is defined as the target location. The source point and the target location are integrated to generate a data collection route, and the inspection route is updated.

[0076] Set a fluctuation range corresponding to each monitoring data point. If the monitoring data exceeds the fluctuation range, generate a trigger signal, send the trigger signal to the inspection drone via the relay device, and create a takeoff command.

[0077] Once the relay device is identified, the inspection drone no longer needs to pass through the tail block. The tail block's location coordinates are removed from the inspection route, and the target location is determined as the waypoint. Using the source point and the target location, a data collection route is generated and covers the inspection route.

[0078] A fluctuation range is set for each monitoring data point. If the monitoring data exceeds the fluctuation range, it means that the corresponding monitoring equipment may be abnormal. A trigger signal is then generated and sent to the inspection drone to generate a takeoff command. At the same time, the next takeoff time of the inspection drone is determined. By creating takeoff commands and takeoff times, a customized inspection schedule can be created to promptly detect abnormalities in new energy power generation equipment.

[0079] In Example 4, Figure 3 The implementation flow of the monitoring method for new energy power generation equipment provided by an embodiment of the present invention is shown. The following details the step of configuring the receiving distance of the gateway terminal pre-integrated in the monitoring equipment:

[0080] S201: Based on the monitoring network topology, calculate the distance between two adjacent monitoring devices. If the distance is greater than the receiving distance, then divide the monitoring network topology.

[0081] According to the order of the monitoring network topology, the distance between two adjacent monitoring devices is calculated sequentially. If the distance is greater than the receiving distance, the monitoring network topology corresponding to the two monitoring devices is divided. For example, in the example of S200, the distance between A and D is greater than the receiving distance, so it is divided.

[0082] S202: Read the order of the monitoring network topology and number the monitoring devices in each segment in turn.

[0083] After the segmentation, the monitoring equipment in each segment is numbered, and the specific numbering rules are pre-determined by the management personnel of the new energy power plant.

[0084] In Example 5, Figure 4 The implementation flow of the monitoring method for new energy power generation equipment provided by an embodiment of the present invention is shown. The following details the steps of uploading the monitoring data corresponding to the monitoring equipment to the corresponding data blocks and defining the last data block in each data chain as the tail block:

[0085] S301: Encapsulate all the monitoring data to obtain data packets, and establish a mapping between data packets, numbers, and deployment locations.

[0086] The monitoring data in each block is packaged to obtain the corresponding data packet; each data packet corresponds to a number and deployment location.

[0087] S302: Establish a data transmission link between the tail block and the inspection drone, and send all received data packets from the tail block to the inspection drone via the transmission link.

[0088] Once the inspection drone enters the receiving range of the tail block (i.e., the distance between them is less than the receiving distance), a data transmission link is established between the tail block and the inspection drone, and all data packets received in the tail block are sent to the inspection drone.

[0089] In Example 6, Figure 4 The implementation flow of the monitoring method for new energy power generation equipment provided by an embodiment of the present invention is illustrated. The following details the steps of reading the load of the tail block, constructing a reverse transmission sequence starting from the tail block if the load is greater than a preset threshold, and correcting the data chain:

[0090] S303: Configure the network attributes of the tail block, wherein the network attributes include at least: throughput, bandwidth and cache capacity.

[0091] Each tail block corresponds to a monitoring device, determining the network attributes of each monitoring device, such as throughput, bandwidth, and cache capacity.

[0092] S304: Divide the network attribute into several individual items, collect real-time data for each individual item, and if the real-time data is greater than a preset threshold, construct a reverse transmission sequence.

[0093] Network attributes are segmented into multiple individual items, such as throughput, bandwidth, and cache capacity. This allows for more detailed monitoring and adjustment of each individual item, enabling the timely detection of potential network bottlenecks. Real-time data for each item is collected. If the real-time data is less than or equal to a preset threshold, it indicates that the current network load is good, and data transmission continues in the forward transmission order. If the real-time data for a certain item exceeds the preset threshold, data transmission proceeds in the reverse transmission order.

[0094] In Example 7, unlike Example 1, the method further includes:

[0095] According to the numbering, select the first block, the second block, and the third block from each number chain;

[0096] An identifier is inserted into the first data block, a hash function is selected, and the identifier and the monitoring data in the first data block are hashed to obtain a first hash value;

[0097] The first hash value is sent to the second data block, and the monitoring data in the first and second data blocks are integrated to obtain the second hash value, and so on.

[0098] In each chain, the hash value received by the tail block is defined as a verification token. All verification tokens are integrated to obtain a verification list, which is then sent to the inspection drone.

[0099] The monitoring data in the first data block is defined as the first data, and the monitoring data in the second data block is defined as the second data. An identifier is inserted into the first data block, the first data and the identifier are integrated, and a hash function (such as MD5 or SHA-1) is used to perform hashing. The resulting hash value is defined as the first hash value. The first hash value is transferred to the second data block, the second data and the first hash value are integrated, and hashing continues. This process is repeated until the hash value received in the last block is defined as the verification token. When new monitoring data is generated, the verification token is updated to obtain a verification list, which is then sent to the inspection drone. The inspection drone then sends the verification list to the processing platform. In the processing platform, the first data and the identifier in the first data block are hashed using the same method. It is then determined whether the verification token in the last block is the same as the verification list. If they are the same, it means that the monitoring data has not been tampered with during transmission and processing. This approach improves the security of monitoring data during transmission and processing.

[0100] Figure 5 This invention provides a block diagram illustrating the structural composition of a monitoring system for new energy power generation equipment, wherein the monitoring system 1 for new energy power generation equipment includes:

[0101] Module 11 is used to delineate the geographical boundary of the new energy power generation equipment, read the deployment location of the monitoring equipment, collect monitoring data, find the monitoring equipment closest to the geographical boundary and define it as the source point, and use the source point and the preset nearest neighbor algorithm to link all the monitoring equipment to obtain the monitoring network topology;

[0102] The construction module 12 is used to configure the receiving distance of the gateway terminal pre-integrated in the monitoring device, and to divide the monitoring network topology into several segments, and to construct a multi-hop link in each segment;

[0103] The correction module 13 is used to create data blocks that correspond one-to-one with the monitoring devices, link the data blocks according to the multi-hop link to obtain several data chains, upload the monitoring data corresponding to the monitoring devices to the corresponding data blocks, define the last data block in each data chain as the tail block, construct a forward transmission sequence with the tail block as the endpoint, write the monitoring data in each data block into the tail block in sequence, read the load of the tail block, and if the load is greater than a preset threshold, construct a reverse transmission sequence with the tail block as the starting point and correct the data chains.

[0104] The update unit 14 is used to locate the position coordinates of the tail block in all data chains, integrate the source point and position coordinates, generate the inspection route, set the inspection time, and integrate them to obtain the inspection timetable. The inspection timetable is then sent to the inspection drone to obtain the processing results of the monitoring data and update the inspection timetable.

[0105] Figure 6 This invention provides a block diagram of the composition of a monitoring system for new energy power generation equipment, wherein the obtaining module 11 includes:

[0106] The calculation unit 111 is used to configure the signal strength of each monitoring device, select relay devices, and calculate the number of relay devices;

[0107] The transmitting unit 112 is used to transmit the monitoring data in all tail blocks to the relay device according to the preset relay rules.

[0108] Figure 7 This invention provides a block diagram illustrating the structural composition of a monitoring system for new energy power generation equipment, wherein the building module 12 includes:

[0109] The segmentation unit 121 is used to calculate the distance between two adjacent monitoring devices according to the monitoring network topology, and if the distance is greater than the receiving distance, the monitoring network topology is segmented.

[0110] Numbering unit 122 is used to read the order of the monitoring network topology and number the monitoring devices in each segment in turn.

[0111] Figure 8 This invention provides a block diagram of the composition of a monitoring system for new energy power generation equipment, wherein the correction module 13 includes:

[0112] Mapping unit 131 is used to encapsulate all the monitoring data to obtain data packets and establish a mapping between data packets, numbers and deployment locations;

[0113] The setup unit 132 is used to establish a data transmission link between the tail block and the inspection drone, and to send all received data packets from the tail block to the inspection drone via the transmission link.

[0114] Configuration unit 133 is used to configure the network attributes of the tail block, wherein the network attributes include at least: throughput, bandwidth and cache capacity;

[0115] The comparison unit 134 is used to divide the network attribute into several individual items, collect real-time data of each individual item, and construct a reverse transmission order if the real-time data is greater than a preset threshold.

[0116] The module 11 is mainly used to complete step S100, the module 12 is mainly used to complete step S200, the module 13 is mainly used to complete step S300, and the update unit 14 is mainly used to complete step S400.

[0117] The calculation unit 111 is mainly used to complete step S101, and the sending unit 112 is mainly used to complete step S102.

[0118] The segmentation unit 121 is mainly used to complete step S201, and the numbering unit 122 is mainly used to complete step S202;

[0119] The mapping unit 131 is mainly used to complete step S301, the building unit 132 is mainly used to complete step S302, the configuration unit 133 is mainly used to complete step S303, and the comparison unit 134 is mainly used to complete step S304.

[0120] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0121] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

[0122] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A monitoring method for new energy power generation equipment, characterized in that, The method includes: The geographical boundaries of the new energy power generation equipment are defined, the deployment locations of the monitoring equipment are read, monitoring data is collected, the monitoring equipment closest to the geographical boundary is found and defined as the source point, and all monitoring equipment are linked using the source point and a preset nearest neighbor algorithm to obtain the monitoring network topology; Configure the receiving distance of the gateway terminal pre-integrated in the monitoring device, and divide the monitoring network topology into several segments, and construct multi-hop links in each segment; Create a data block corresponding to each monitoring device. Link the data blocks according to the multi-hop link to obtain several data chains. Upload the monitoring data corresponding to the monitoring device to the corresponding data block. Define the last data block in each data chain as the tail block. Build a forward transmission sequence with the tail block as the endpoint. Write the monitoring data in each data block into the tail block sequentially. Read the load of the tail block. If the load is greater than a preset threshold, build a reverse transmission sequence with the tail block as the starting point and correct the data chain. Locate the position coordinates of the tail blocks in all data chains, integrate the source point and position coordinates, generate inspection routes, set inspection times, and integrate them to obtain an inspection timetable. Send the inspection timetable to the inspection drone, obtain the processing results of the monitoring data, and update the inspection timetable.

2. The monitoring method for new energy power generation equipment according to claim 1, characterized in that, The steps of delineating the geographical boundary of the new energy power generation equipment, reading the deployment location of the monitoring equipment, collecting monitoring data, and finding the monitoring equipment closest to the geographical boundary and defining it as the source point include: Configure the signal strength of the gateway terminal in each monitoring device, select the relay devices, and calculate the number of the relay devices; According to the preset relay rules, all monitoring data in the tail blocks are sent to the relay device.

3. The monitoring method for new energy power generation equipment according to claim 2, characterized in that, The method further includes: The deployment location of the relay device is defined as the target location. The source point and the target location are integrated to generate a data collection route, and the inspection route is updated. Set a fluctuation range corresponding to each monitoring data point. If the monitoring data exceeds the fluctuation range, generate a trigger signal, send the trigger signal to the inspection drone via the relay device, and create a takeoff command.

4. The monitoring method for new energy power generation equipment according to claim 1, characterized in that, The step of configuring the receiving distance of the gateway terminal pre-integrated in the monitoring device includes: Based on the monitoring network topology, the distance between two adjacent monitoring devices is calculated. If the distance is greater than the receiving distance, the monitoring network topology is segmented. The order of the monitoring network topology is read, and the monitoring devices in each segment are numbered sequentially.

5. The monitoring method for new energy power generation equipment according to claim 1, characterized in that, The step of uploading the monitoring data corresponding to the monitoring device to the corresponding data block, and defining the last data block in each data chain as the tail block, includes: All the monitoring data are packetized to obtain data packets, and a mapping between data packets, numbers, and deployment locations is established. Establish a data transmission link between the tail block and the inspection drone, and send all received data packets from the tail block to the inspection drone via the transmission link.

6. The monitoring method for new energy power generation equipment according to claim 1, characterized in that, The step of reading the load of the tail block, and if the load is greater than a preset threshold, constructing a reverse transmission order starting from the tail block and correcting the data chain includes: Configure the network attributes of the tail block, wherein the network attributes include at least: throughput, bandwidth, and cache capacity; The network attribute is divided into several individual items, and real-time data of each individual item is collected. If the real-time data is greater than a preset threshold, a reverse transmission sequence is constructed.

7. The monitoring method for new energy power generation equipment according to claim 4, characterized in that, The method further includes: According to the numbering, select the first block, the second block, and the third block from each number chain; An identifier is inserted into the first data block, a hash function is selected, and the identifier and the monitoring data in the first data block are hashed to obtain a first hash value; The first hash value is sent to the second data block, and the monitoring data in the first and second data blocks are integrated to obtain the second hash value, and so on. In each chain, the hash value received by the tail block is defined as a verification token. All verification tokens are integrated to obtain a verification list, which is then sent to the inspection drone.

8. A monitoring system for new energy power generation equipment, characterized in that, The system includes: The module is used to delineate the geographical boundaries of new energy power generation equipment, read the deployment location of monitoring equipment, collect monitoring data, find the monitoring equipment closest to the geographical boundary and define it as the source point, and use the source point and a preset nearest neighbor algorithm to link all monitoring equipment to obtain the monitoring network topology; The module is used to configure the receiving distance of the gateway terminal pre-integrated in the monitoring device, and to divide the monitoring network topology into several segments, and to build multi-hop links in each segment; The correction module is used to create data blocks that correspond one-to-one with the monitoring devices, link the data blocks according to the multi-hop link to obtain several data chains, upload the monitoring data corresponding to the monitoring devices to the corresponding data blocks, and define the last data block in each data chain as the tail block. With the tail block as the endpoint, a forward transmission sequence is constructed, and the monitoring data in each data block is written into the tail block in sequence. The load of the tail block is read out. If the load is greater than a preset threshold, a reverse transmission sequence is constructed with the tail block as the starting point, and the data chain is corrected. The update unit is used to locate the position coordinates of the tail block in all data chains, integrate the source point and position coordinates, generate the inspection route, set the inspection time, and integrate them to obtain the inspection timetable. The inspection timetable is then sent to the inspection drone to obtain the processing results of the monitoring data and update the inspection timetable.

9. The monitoring system for new energy power generation equipment according to claim 8, characterized in that, The obtained module includes: The calculation unit is used to configure the signal strength of the gateway terminal in each monitoring device, select the relay device, and calculate the number of the relay device; The transmitting unit is used to transmit the monitoring data in all tail blocks to the relay device according to the preset relay rules.

10. The monitoring system for new energy power generation equipment according to claim 8, characterized in that, The building module includes: The segmentation unit is used to calculate the distance between two adjacent monitoring devices based on the monitoring network topology. If the distance is greater than the receiving distance, the monitoring network topology is segmented. The numbering unit is used to read the order of the monitoring network topology and number the monitoring devices in each segment in turn.

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