New energy station operation and maintenance system and method based on Mesh network

Abstract

The invention provides a new energy station operation and maintenance system and method based on a Mesh network, and belongs to the technical field of data processing, and the system comprises an arrangement module which carries out the wireless network arrangement of a new energy wind and light station; the monitoring module is used for monitoring real-time operation data and station environment data of the new energy wind and light station equipment in real time and transmitting the data to the operation and maintenance center; the analysis module is used for generating a real-time state report; the state module is used for extracting a plurality of historical state reports and determining an equipment state report of the new energy wind and light station based on the historical state reports and the real-time state reports; and the maintenance module is used for generating a maintenance task and transmitting the maintenance task to the new energy wind and light station to maintain the new energy wind and light station. The operation monitoring and fault early warning capabilities of the new energy station can be enhanced, the accuracy of the equipment prediction state can be improved, the equipment fault rate can be reduced, the intelligent operation and maintenance process can be promoted, the maintenance process can be optimized, the operation efficiency and reliability of the new energy station can be improved, and finally the sustainable development of renewable energy can be promoted.

Description

Technical Field

[0001] The present invention relates to the field of data analysis technology, and in particular to a new energy station operation and maintenance system and method based on a Mesh network. Background Art

[0002] Traditional monitoring systems for new energy stations often rely on manual inspections, have slow response speeds, and are unable to effectively respond to rapidly changing environments and equipment conditions. At the same time, they lack efficient data transmission and analysis methods, resulting in information islands and delayed decision-making. Existing technologies are mostly based on single monitoring equipment, lack systematic and intelligent comprehensive management solutions, and face problems such as insufficient real-time monitoring and fault warning.

[0003] Therefore, the present invention provides a new energy station operation and maintenance system and method based on Mesh network. Summary of the invention

[0004] The present invention provides a new energy station operation and maintenance system and method based on Mesh network. By arranging a wireless network of new energy wind and solar power stations, real-time operation data of new energy wind and solar power station equipment and station environmental data are monitored and analyzed in real time, a real-time status report is generated, and the equipment status report of the new energy wind and solar power station is determined in combination with multiple extracted historical status reports. Maintenance tasks are generated and maintenance is performed according to the equipment status report. The operation monitoring and fault warning capabilities of the new energy station can be enhanced, the transparency and response speed of equipment operation can be improved, the accuracy of equipment prediction status can be improved, the equipment failure rate can be reduced, the process of intelligent operation and maintenance can be promoted, the maintenance process can be optimized, the operation efficiency and reliability of the new energy station can be improved, and finally the sustainable development of renewable energy can be promoted.

[0005] On the one hand, the present invention provides a new energy station operation and maintenance system based on a Mesh network, comprising:

[0006] Deployment module: Deploy wireless networks for new energy wind and solar power stations, and connect the wireless networks to the optical fiber ring network of wind and solar power stations;

[0007] Monitoring module: monitors the real-time operation data of new energy wind and solar power station equipment and station environment data in real time, and transmits them to the operation and maintenance center;

[0008] Analysis module: analyzes real-time operation data and station environment data and generates real-time status reports;

[0009] Status module: extract multiple historical status reports, and determine the equipment status report of the new energy wind and solar power station based on the historical status report and the real-time status report;

[0010] Maintenance module: The operation and maintenance center generates maintenance tasks based on equipment status reports and transmits them to the new energy wind and solar power stations. Maintenance personnel maintain the new energy wind and solar power stations based on the operation and maintenance tasks.

[0011] According to the Mesh network-based new energy station operation and maintenance system provided by the present invention, the deployment module includes:

[0012] Wireless network deployment unit: The wireless network is set up in the inverter room and wind turbine in the new energy wind and solar power station. Mesh wireless self-organizing network equipment is installed by pole erection to achieve wireless signal coverage in the station;

[0013] The optical fiber transmission unit includes an optical fiber switch and an optical fiber line connected to the optical fiber ring network, and the wireless network layout unit is connected to the optical fiber ring network of the wind and solar power station through the optical fiber switch;

[0014] The signal coverage radius of the deployment module is at least 1.5 kilometers;

[0015] Connection unit: The new energy wind and solar power stations and the operation and maintenance center are remotely connected based on the transmitting device and the receiving device for data transmission.

[0016] According to the Mesh network-based new energy station operation and maintenance system provided by the present invention, the monitoring module includes:

[0017] The first monitoring unit monitors the sub-real-time operation data of each device in the new energy wind and solar power station based on the first sensor group, and determines the real-time operation data based on all the sub-real-time operation data;

[0018] The second monitoring unit is used to monitor the environmental status of the new energy station based on the second sensor group and determine the station environmental data;

[0019] The first transmission unit: The new energy wind and solar power station transmits the real-time operation data and station environment data to the operation and maintenance center based on the connection unit.

[0020] According to the Mesh network-based new energy station operation and maintenance system provided by the present invention, the analysis module includes:

[0021] Preprocessing unit: preprocesses real-time operation data and station environment data, including data cleaning, missing value processing and time synchronization;

[0022] Real-time operation vector unit: extracts features from the sub-real-time operation data of each device in the preprocessed real-time operation data, determines multiple operation features of each device, and determines the corresponding real-time operation vector based on all the features of the device;

[0023] Real-time environment vector unit: extracts features from pre-processed station environment data, determines multiple environment features based on different environments, and determines real-time environment vectors based on all environment features;

[0024] Real-time status reporting unit: Generates real-time status reports based on the time stamp after time synchronization, the real-time operation vectors of all devices, and the real-time environment vectors.

[0025] According to the Mesh network-based new energy station operation and maintenance system provided by the present invention, the status module includes:

[0026] A first history reporting unit: based on the real-time environment vector in the real-time status report, extracts historical status reports corresponding to multiple historical environment vectors similar to the real-time environment vector in which the historical device status is normal, and determines a first history report;

[0027] A second history report unit: extracting a specified number of history status reports before the real-time status report to determine a second history report;

[0028] The first status unit: determines the first status of each device of the new energy wind and solar power station based on the real-time status report and the first historical report;

[0029] A second status unit: determining a second status of each device in the new energy wind and solar power station based on the real-time status report and the second historical report;

[0030] Prediction state unit: determining the prediction state of each device of the new energy wind and solar power station based on the first state and the second state of each device of the new energy wind and solar power station;

[0031] If both the first state and the second state of the device are normal, the predicted state of the device is determined to be normal; if one of the first state or the second state of the device is an alarm, the predicted state of the device is determined to be an alarm; if one of the first state or the second state of the device is a fault, the predicted state of the device is determined to be a fault;

[0032] Equipment status reporting unit: Generates equipment status reports based on the predicted status of all equipment in the new energy wind and solar power stations.

[0033] According to the Mesh network-based new energy station operation and maintenance system provided by the present invention, the first state unit includes:

[0034] A similarity value subunit: determining a similarity value of each device based on the historical environment vectors of the multiple historical status reports in the first historical report, the historical operation vector of each device, and the real-time environment vector in the real-time status report and the real-time operation vector of each device;

[0035]

[0036] Among them, S k Re represents the similarity value of the kth device in the real-time status report, jrepresents the eigenvalue of the jth feature of the real-time environment vector in the real-time status report, He ij represents the feature value of the jth feature of the historical environment vector of the i-th historical status report, N2 represents the number of features in the real-time environment vector, and Rh jk represents the feature value of the jth feature of the real-time environment vector of the kth device in the real-time status report, Hh ijk represents the eigenvalue of the jth feature of the historical environment vector of the kth device in the ith historical status report, α represents the time decay factor, Rt represents the timestamp of the real-time status report, and Ht i represents the timestamp of the i-th historical status report, N1 represents the number of historical status reports in the first historical report, and W i represents the weight of the i-th historical status report based on the historical environment vector, γ represents the adjustment factor, and σE represents the vector variance of the historical environment vectors of all historical status reports in the first historical report;

[0037] First state subunit: if the similarity value of the device is greater than or equal to the first preset threshold, the first state of the device is determined to be a normal device; if the similarity value of the device is between the first preset threshold and the second preset threshold, the first state of the device is determined to be an alarm device; if the similarity value of the device is less than or equal to the second preset threshold, the first state of the device is determined to be a faulty device.

[0038] According to the Mesh network-based new energy station operation and maintenance system provided by the present invention, the second state unit includes:

[0039] A state transition matrix unit: determining a state transition matrix of each device based on the historical state of each device in all historical state reports in the second historical report;

[0040]

[0041] Among them, P k represents the state transition matrix of the kth device, nn k 、aa k ,ff k The number of devices in the two adjacent historical status reports in the second historical report whose device status is normal, alarm, or faulty, respectively. k 、nf k They represent the number of devices whose status of the kth device in the two adjacent historical status reports in the second historical report has changed from normal to alarm and fault, respectively. k ,af k fn respectively represent the number of devices whose device status in the two adjacent historical status reports in the second historical report has changed from alarm to normal and fault. k 、fak Respectively represent the number of device states of the kth device in two adjacent historical status reports in the second historical report that have changed from fault to normal and alarm, N3 represents the specified number in the second historical report, each row of the state transition matrix is ​​a state transition row vector, specifically, the first row of the state transition matrix is ​​a normal transition row vector, the second row of the state transition matrix is ​​an alarm transition row vector, and the third row of the state transition matrix is ​​a fault transition row vector;

[0042] A historical status unit: extracting the historical status of each device in the historical status report closest to the timestamp of the real-time status report in the second historical report;

[0043] Second state unit: based on the extracted historical state of the device and the state transition matrix of the device, determine the state transition row vector corresponding to the device, and select the state after the transition with the largest value in the state transition row vector as the second state of the device.

[0044] On the other hand, the present invention also provides a new energy station operation and maintenance method based on a Mesh network, including:

[0045] 101: Arrange a wireless network for the new energy wind and solar power station, and connect the wireless network to the optical fiber ring network of the wind and solar power station;

[0046] 102: Real-time monitoring of the real-time operation data of the new energy wind and solar power station equipment and the station environment data, and transmission to the operation and maintenance center;

[0047] 103: Analyze real-time operation data and station environment data to generate real-time status reports;

[0048] 104: extract multiple historical status reports, and determine the equipment status report of the new energy wind and solar power station based on the historical status report and the real-time status report;

[0049] 105: The operation and maintenance center generates maintenance tasks based on the equipment status report and transmits them to the new energy wind and solar power stations. The maintenance personnel maintain the new energy wind and solar power stations based on the operation and maintenance tasks.

[0050] Compared with the prior art, the beneficial effects of this application are as follows:

[0051] By deploying wireless networks in new energy wind and solar power stations, real-time monitoring and analysis of real-time operating data of new energy wind and solar power station equipment and station environmental data, real-time status reports are generated, and equipment status reports of new energy wind and solar power stations are determined by combining multiple extracted historical status reports. Maintenance tasks are generated and maintained according to the equipment status reports. This can enhance the operation monitoring and fault warning capabilities of new energy stations, improve the transparency and response speed of equipment operation, improve the accuracy of equipment prediction status, reduce equipment failure rate, promote the process of intelligent operation and maintenance, optimize maintenance processes, improve the operating efficiency and reliability of new energy stations, and ultimately promote the sustainable development of renewable energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0053] Figure 1 It is a structural diagram of a new energy station operation and maintenance system based on a Mesh network provided in an embodiment of the present invention.

[0054] Figure 2 It is a flow chart of a new energy station operation and maintenance method based on Mesh network provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] Embodiment 1:

[0057] The embodiment of the present invention provides a new energy station operation and maintenance system based on Mesh network, such as Figure 1 As shown, including:

[0058] Deployment module: Deploy wireless networks for new energy wind and solar power stations, and connect the wireless networks to the optical fiber ring network of wind and solar power stations;

[0059] Monitoring module: monitors the real-time operation data of new energy wind and solar power station equipment and station environment data in real time, and transmits them to the operation and maintenance center;

[0060] Analysis module: analyzes real-time operation data and station environment data and generates real-time status reports;

[0061] Status module: extract multiple historical status reports, and determine the equipment status report of the new energy wind and solar power station based on the historical status report and the real-time status report;

[0062] Maintenance module: The operation and maintenance center generates maintenance tasks based on equipment status reports and transmits them to the new energy wind and solar power stations. Maintenance personnel maintain the new energy wind and solar power stations based on the operation and maintenance tasks.

[0063] In this embodiment, the operating data and environmental data of the equipment in the station are monitored in real time, including collecting data on equipment performance and environmental conditions, and these data will be transmitted to the operation and maintenance center in a timely manner.

[0064] In this embodiment, multiple historical status reports are extracted and combined with the real-time status report to comprehensively judge the status of each device in the new energy wind and solar power station, and a comprehensive device status report is generated by comparing historical data with real-time data.

[0065] In this embodiment, the maintenance task includes multiple maintenance subtasks.

[0066] In this embodiment, the maintenance personnel access the operation and maintenance system based on the mobile device to view the sub-real-time status report corresponding to the maintenance sub-task;

[0067] In this embodiment, the maintenance personnel maintain the corresponding equipment based on the maintenance subtasks and sub-real-time status reports, and record the maintenance steps in the mobile device, and the mobile device transmits the maintenance steps and maintenance results to the operation and maintenance center.

[0068] The beneficial effects of the above technical solution are as follows: by arranging a wireless network of new energy wind and solar power stations, real-time monitoring and analysis of real-time operation data of new energy wind and solar power station equipment and station environmental data, generating real-time status reports, and combining multiple extracted historical status reports to determine the equipment status report of the new energy wind and solar power station, generating maintenance tasks based on the equipment status report and performing maintenance, the operation monitoring and fault warning capabilities of the new energy station can be enhanced, the transparency and response speed of equipment operation can be improved, the accuracy of equipment prediction status can be improved, the equipment failure rate can be reduced, the process of intelligent operation and maintenance can be promoted, the maintenance process can be optimized, the operating efficiency and reliability of new energy stations can be improved, and ultimately the sustainable development of renewable energy can be promoted.

[0069] Embodiment 2:

[0070] The embodiment of the present invention provides a new energy station operation and maintenance system based on a Mesh network, wherein the deployment module includes:

[0071] Wireless network deployment unit: The wireless network is set up in the inverter room and wind turbine in the new energy wind and solar power station. Mesh wireless self-organizing network equipment is installed by pole erection to achieve wireless signal coverage in the station;

[0072] The optical fiber transmission unit includes an optical fiber switch and an optical fiber line connected to the optical fiber ring network, and the wireless network layout unit is connected to the optical fiber ring network of the wind and solar power station through the optical fiber switch;

[0073] The signal coverage radius of the deployment module is at least 1.5 kilometers;

[0074] Connection unit: The new energy wind and solar power stations and the operation and maintenance center are remotely connected based on the transmitting device and the receiving device for data transmission.

[0075] In this embodiment, a wireless network is arranged in the new energy wind and solar power station, especially in the inverter room and the wind turbine, and Mesh wireless self-organizing network devices are installed by means of poles. These devices form a self-organizing network, so that the wireless signal in the station can cover the entire area, ensuring the stability and reliability of wireless communication.

[0076] In this embodiment, the first feeder line is used to provide network connection for the Mesh device of the inspection vehicle; the second feeder line is used to provide WiFi signal coverage for the mobile operation equipment of the inspection personnel, thereby realizing real-time access of the mobile device.

[0077] In this embodiment, the optical fiber switch connects the wireless network deployment unit with the optical fiber ring network of the wind and solar power station. The optical fiber ring network provides a high-bandwidth and low-latency data transmission channel and supports the transmission of a large amount of data traffic.

[0078] In this embodiment, the new energy wind and solar power station and the operation and maintenance center are remotely connected through a transmitter and a receiver. This mechanism supports real-time data transmission, ensuring that the operation and maintenance personnel can obtain and analyze the station data at any time and conduct remote monitoring and management.

[0079] In this embodiment, the Mesh wireless ad hoc network device is a wireless network device that can self-organize, expand and enhance signals to form a flexible network structure.

[0080] In this embodiment, the fiber optic switch connects and manages switches of various devices in the fiber optic network and is responsible for data routing and distribution.

[0081] In this embodiment, the optical fiber ring network is an optical fiber network with a ring structure, which can realize bidirectional transmission and redundant backup of data.

[0082] In this embodiment, the Mesh networking antenna unit is an antenna device connected via a feeder line for realizing wireless network access of the inspection vehicle.

[0083] In this embodiment, the signal coverage radius indicates the maximum radius that the wireless signal can effectively cover, reflecting the coverage range of the network.

[0084] The beneficial effects of the above technical solution are as follows: wireless networks are deployed in new energy wind and solar power stations, and the wireless networks are connected to the optical fiber ring network of the wind and solar power stations. A wireless network system suitable for high altitude areas can be deployed, and the stability, security and economy meet the on-site requirements, thereby achieving full coverage of the wireless network for smart new energy stations.

[0085] Embodiment 3:

[0086] The embodiment of the present invention provides a new energy station operation and maintenance system based on a Mesh network, wherein the monitoring module includes:

[0087] The first monitoring unit monitors the sub-real-time operation data of each device in the new energy wind and solar power station based on the first sensor group, and determines the real-time operation data based on all the sub-real-time operation data;

[0088] The second monitoring unit is used to monitor the environmental status of the new energy station based on the second sensor group and determine the station environmental data;

[0089] The first transmission unit: The new energy wind and solar power station transmits the real-time operation data and station environment data to the operation and maintenance center based on the connection unit.

[0090] In this embodiment, based on the first sensor group, the sub-real-time operation data of each device in the new energy wind and solar power station is monitored. Each device may be equipped with multiple sensors to monitor its operating status (such as voltage, power, temperature, etc.). By collecting the sub-real-time operation data of all devices, the first monitoring unit integrates this information to form comprehensive real-time operation data.

[0091] In this embodiment, the environmental status of the new energy station, such as temperature, humidity, wind speed, light intensity, etc., is monitored based on the second sensor group. These environmental data are very important for evaluating the operating conditions and efficiency of the station, because environmental factors directly affect the performance of photovoltaic cells and wind turbines. The second monitoring unit obtains these data to provide a basis for optimizing the operation of the station.

[0092] In this embodiment, based on the connection unit, the first transmission unit transmits real-time operation data and site environment data to the operation and maintenance center. The connection unit may use wireless or wired communication technology to ensure that the data can be transmitted to the operation and maintenance center in real time and stably for monitoring, analysis and decision-making.

[0093] The beneficial effects of the above technical solution are: real-time monitoring of the real-time operation data of new energy wind and solar power station equipment and station environmental data, and transmission to the operation and maintenance center, which can improve the accuracy of data collection.

[0094] Embodiment 4:

[0095] The embodiment of the present invention provides a new energy station operation and maintenance system based on a Mesh network, wherein the analysis module includes:

[0096] Preprocessing unit: preprocesses real-time operation data and station environment data, including data cleaning, missing value processing and time synchronization;

[0097] Real-time operation vector unit: extracts features from the sub-real-time operation data of each device in the preprocessed real-time operation data, determines multiple operation features of each device, and determines the corresponding real-time operation vector based on all the features of the device;

[0098] Real-time environment vector unit: extracts features from pre-processed station environment data, determines multiple environment features based on different environments, and determines real-time environment vectors based on all environment features;

[0099] Real-time status reporting unit: Generates real-time status reports based on the time stamp after time synchronization, the real-time operation vectors of all devices, and the real-time environment vectors.

[0100] In this embodiment, the real-time operation data and site environment data are preprocessed to ensure the quality and consistency of the data. The preprocessing steps include: identifying and correcting erroneous data or outliers to ensure data accuracy; filling or deleting missing data to avoid interference with subsequent analysis; and ensuring that the data collected by different devices and sensors are consistent in time to facilitate accurate comparison and analysis.

[0101] In this embodiment, feature extraction is performed on the preprocessed real-time operation data, and the sub-real-time operation data of each device is analyzed. The feature extraction process includes: determining multiple operation characteristics of each device (such as power factor, operation efficiency, etc.), reflecting the performance status of each device, and forming a corresponding real-time operation vector based on all the characteristics of the device.

[0102] In this embodiment, feature extraction is performed on the preprocessed station environment data to identify multiple environmental features (such as temperature, humidity, wind speed, etc.) under different environmental conditions, and a real-time environment vector is formed by extracting these features.

[0103] In this embodiment, a real-time status report is generated based on the time stamp after time synchronization, the real-time operation vectors of all devices, and the real-time environment vectors. The report includes the current operation status and environment conditions of all devices.

[0104] The beneficial effects of the above technical solution are: analyzing real-time operation data and station environment data, generating real-time status reports, ensuring data clarity and consistency, achieving efficient data integration and analysis, providing accurate basis for operation and maintenance decisions, greatly enhancing the operation monitoring and fault warning capabilities of new energy stations, and promoting the progress of intelligent operation and maintenance.

[0105] Embodiment 5:

[0106] The embodiment of the present invention provides a new energy station operation and maintenance system based on a Mesh network, wherein the status module includes:

[0107] A first history reporting unit: based on the real-time environment vector in the real-time status report, extracts historical status reports corresponding to multiple historical environment vectors similar to the real-time environment vector in which the historical device status is normal, and determines a first history report;

[0108] A second history report unit: extracting a specified number of history status reports before the real-time status report to determine a second history report;

[0109] The first status unit: determines the first status of each device of the new energy wind and solar power station based on the real-time status report and the first historical report;

[0110] A second status unit: determining a second status of each device in the new energy wind and solar power station based on the real-time status report and the second historical report;

[0111] Prediction state unit: determining the prediction state of each device of the new energy wind and solar power station based on the first state and the second state of each device of the new energy wind and solar power station;

[0112] If both the first state and the second state of the device are normal, the predicted state of the device is determined to be normal; if one of the first state or the second state of the device is an alarm, the predicted state of the device is determined to be an alarm; if one of the first state or the second state of the device is a fault, the predicted state of the device is determined to be a fault;

[0113] Equipment status reporting unit: Generates equipment status reports based on the predicted status of all equipment in the new energy wind and solar power stations.

[0114] In this embodiment, based on the real-time environment vector in the real-time status report, a plurality of historical records with similar historical environment vectors are found, and data with the device status being "normal" is extracted from the historical status reports under these similar environments to form a first historical report.

[0115] In this embodiment, a certain number of historical status reports (such as the most recent 10) is set, and a certain number of historical status reports are extracted from the historical data before the real-time status report and determined as the second historical reports.

[0116] In this embodiment, the judgment results of the first state and the second state are integrated to form a predicted state of the device and estimate the future state of the device.

[0117] In this embodiment, an equipment status report is generated based on the predicted status of all equipment, and the report summarizes the predicted status of each equipment in the station.

[0118] The beneficial effects of the above technical solution are: extracting multiple historical status reports, determining the equipment status report of the new energy wind and solar power station based on the historical status report and the real-time status report, which can improve the accuracy of the equipment prediction status, realize fault warning and anomaly detection, enhance the timeliness of operation and maintenance decisions, and provide a solid data foundation for the intelligent management of new energy stations, thereby improving the overall operational efficiency and reliability.

[0119] Embodiment 6:

[0120] An embodiment of the present invention provides a new energy station operation and maintenance system based on a Mesh network, wherein the first state unit includes:

[0121] A similarity value subunit: determining a similarity value of each device based on the historical environment vectors of the multiple historical status reports in the first historical report, the historical operation vector of each device, and the real-time environment vector in the real-time status report and the real-time operation vector of each device;

[0122]

[0123] Among them, S k Re represents the similarity value of the kth device in the real-time status report, j represents the eigenvalue of the jth feature of the real-time environment vector in the real-time status report, He ij represents the feature value of the jth feature of the historical environment vector of the i-th historical status report, N2 represents the number of features in the real-time environment vector, and Rh jk represents the feature value of the jth feature of the real-time environment vector of the kth device in the real-time status report, Hh ijk represents the eigenvalue of the jth feature of the historical environment vector of the kth device in the ith historical status report, α represents the time decay factor, Rt represents the timestamp of the real-time status report, and Ht i represents the timestamp of the i-th historical status report, N1 represents the number of historical status reports in the first historical report, and W i represents the weight of the i-th historical status report based on the historical environment vector, γ represents the adjustment factor, and σE represents the vector variance of the historical environment vectors of all historical status reports in the first historical report;

[0124] First state subunit: if the similarity value of the device is greater than or equal to the first preset threshold, the first state of the device is determined to be a normal device; if the similarity value of the device is between the first preset threshold and the second preset threshold, the first state of the device is determined to be an alarm device; if the similarity value of the device is less than or equal to the second preset threshold, the first state of the device is determined to be a faulty device.

[0125] In this embodiment, the i-th historical status report is based on the weight W of the historical environment vector i Represents the impact of all feature values ​​of the historical environment vector of the i-th historical status report on the similarity value of the device.

[0126] In this embodiment, It represents the effect of the time interval between the timestamp of the i-th historical status report and the timestamp of the real-time status report on the similarity value of the device in the real-time status report.

[0127] In this embodiment, a normal device refers to a device in good condition, and its operating performance is consistent with a historical normal condition.

[0128] In this embodiment, the alarm device indicates a device that may have a problem in its status and needs to attract the attention of the operation and maintenance team.

[0129] In this embodiment, the faulty device refers to a device with an abnormal operating status, which needs to be processed and repaired immediately.

[0130] The beneficial effects of the above technical solution are as follows: based on the real-time status report and the first historical report, the first status of each device in the new energy wind and solar power station is determined, which can provide a basis for judging the predicted status of the equipment, enhance the timeliness of operation and maintenance decisions, and reduce equipment failure rate.

[0131] Embodiment 7:

[0132] An embodiment of the present invention provides a new energy station operation and maintenance system based on a Mesh network, wherein the second state unit includes:

[0133] A state transition matrix unit: determining a state transition matrix of each device based on the historical state of each device in all historical state reports in the second historical report;

[0134]

[0135] Among them, P k represents the state transition matrix of the kth device, nn k 、aa k ,ff k The number of devices in the two adjacent historical status reports in the second historical report whose device status is normal, alarm, or faulty, respectively. k 、nfk They represent the number of devices whose status of the kth device in the two adjacent historical status reports in the second historical report has changed from normal to alarm and fault, respectively. k ,af k fn respectively represent the number of devices whose device status in the two adjacent historical status reports in the second historical report has changed from alarm to normal and fault. k 、fa k Respectively represent the number of device states of the kth device in two adjacent historical status reports in the second historical report that have changed from fault to normal and alarm, N3 represents the specified number in the second historical report, each row of the state transition matrix is ​​a state transition row vector, specifically, the first row of the state transition matrix is ​​a normal transition row vector, the second row of the state transition matrix is ​​an alarm transition row vector, and the third row of the state transition matrix is ​​a fault transition row vector;

[0136] A historical status unit: extracting the historical status of each device in the historical status report closest to the timestamp of the real-time status report in the second historical report;

[0137] Second state unit: based on the extracted historical state of the device and the state transition matrix of the device, determine the state transition row vector corresponding to the device, and select the state after the transition with the largest value in the state transition row vector as the second state of the device.

[0138] In this embodiment, each row and each column in the state transition matrix respectively represents a possible state of the device (normal, alarm, fault), and the value in the matrix represents the probability of transitioning from one state to another.

[0139] In this embodiment, in the second history report, the history state of each device with a timestamp closest to the current real-time state report is extracted as the state of each device before the transition.

[0140] In this embodiment, based on the extracted historical state of the device and the state transition matrix of the device, the state transition row vector corresponding to the device is determined, and the state after the transition with the largest value in the state transition row vector is selected as the second state of the device. For example: if the historical state of the device extracted is fault, the fault transition row vector in the state transition matrix corresponding to the device is determined as the state transition row vector of the device, and the largest value in the normal transition row vector is the transition from fault to normal, then normal is determined as the second state of the device.

[0141] The beneficial effects of the above technical solution are as follows: based on the real-time status report and the second historical report, the second status of each device in the new energy wind and solar power station is determined, which can provide a basis for judging the predicted status of the equipment, further enhance the timeliness of operation and maintenance decisions, and reduce equipment failure rate.

[0142] Embodiment 8:

[0143] The embodiment of the present invention provides a new energy station operation and maintenance method based on a Mesh network, including:

[0144] 101: Arrange a wireless network for the new energy wind and solar power station, and connect the wireless network to the optical fiber ring network of the wind and solar power station;

[0145] 102: Real-time monitoring of the real-time operation data of the new energy wind and solar power station equipment and the station environment data, and transmission to the operation and maintenance center;

[0146] 103: Analyze real-time operation data and station environment data to generate real-time status reports;

[0147] 104: extract multiple historical status reports, and determine the equipment status report of the new energy wind and solar power station based on the historical status report and the real-time status report;

[0148] 105: The operation and maintenance center generates maintenance tasks based on the equipment status report and transmits them to the new energy wind and solar power stations. The maintenance personnel maintain the new energy wind and solar power stations based on the operation and maintenance tasks.

[0149] The beneficial effects of the above technical solution are as follows: by arranging a wireless network of new energy wind and solar power stations, real-time monitoring and analysis of real-time operation data of new energy wind and solar power station equipment and station environmental data, generating real-time status reports, and combining multiple extracted historical status reports to determine the equipment status report of the new energy wind and solar power station, generating maintenance tasks based on the equipment status report and performing maintenance, the operation monitoring and fault warning capabilities of the new energy station can be enhanced, the transparency and response speed of equipment operation can be improved, the accuracy of equipment prediction status can be improved, the equipment failure rate can be reduced, the process of intelligent operation and maintenance can be promoted, the maintenance process can be optimized, the operating efficiency and reliability of new energy stations can be improved, and ultimately the sustainable development of renewable energy can be promoted.

[0150] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0151] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0152] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. The new energy station operation and maintenance system based on Mesh network is characterized by: include: Deployment module: Deploy wireless networks for new energy wind and solar power stations, and connect the wireless networks to the optical fiber ring network of wind and solar power stations; Monitoring module: monitors the real-time operation data of new energy wind and solar power station equipment and station environment data in real time, and transmits them to the operation and maintenance center; Analysis module: analyzes real-time operation data and station environment data and generates real-time status reports; Status module: extract multiple historical status reports, and determine the equipment status report of the new energy wind and solar power station based on the historical status report and the real-time status report; Maintenance module: The operation and maintenance center generates maintenance tasks based on equipment status reports and transmits them to the new energy wind and solar power stations. Maintenance personnel maintain the new energy wind and solar power stations based on the operation and maintenance tasks.

2. According to the Mesh network-based new energy station operation and maintenance system of claim 1, it is characterized in that: The arrangement module comprises: Wireless network deployment unit: The wireless network is set up in the inverter room and wind turbine in the new energy wind and solar power station. Mesh wireless self-organizing network equipment is installed by pole erection to achieve wireless signal coverage in the station; The optical fiber transmission unit includes an optical fiber switch and an optical fiber line connected to the optical fiber ring network, and the wireless network layout unit is connected to the optical fiber ring network of the wind and solar power station through the optical fiber switch; The signal coverage radius of the deployment module is at least 1.5 kilometers; Connection unit: The new energy wind and solar power stations and the operation and maintenance center are remotely connected based on the transmitting device and the receiving device for data transmission.

3. The new energy station operation and maintenance system based on Mesh network according to claim 2 is characterized in that: The monitoring module comprises: The first monitoring unit monitors the sub-real-time operation data of each device in the new energy wind and solar power station based on the first sensor group, and determines the real-time operation data based on all the sub-real-time operation data; The second monitoring unit is used to monitor the environmental status of the new energy station based on the second sensor group and determine the station environmental data; The first transmission unit: The new energy wind and solar power station transmits the real-time operation data and station environment data to the operation and maintenance center based on the connection unit.

4. The new energy station operation and maintenance system based on Mesh network according to claim 1 is characterized in that: The analysis module comprises: Preprocessing unit: preprocesses real-time operation data and station environment data, including data cleaning, missing value processing and time synchronization; Real-time operation vector unit: extracts features from the sub-real-time operation data of each device in the preprocessed real-time operation data, determines multiple operation features of each device, and determines the corresponding real-time operation vector based on all the features of the device; Real-time environment vector unit: extracts features from pre-processed station environment data, determines multiple environment features based on different environments, and determines real-time environment vectors based on all environment features; Real-time status reporting unit: Generates real-time status reports based on the time stamp after time synchronization, the real-time operation vectors of all devices, and the real-time environment vectors.

5. According to the Mesh network-based new energy station operation and maintenance system of claim 1, it is characterized in that: The state module comprises: A first history reporting unit: based on the real-time environment vector in the real-time status report, extracts historical status reports corresponding to multiple historical environment vectors similar to the real-time environment vector in which the historical device status is normal, and determines a first history report; A second history report unit: extracting a specified number of history status reports before the real-time status report to determine a second history report; The first status unit: determines the first status of each device of the new energy wind and solar power station based on the real-time status report and the first historical report; A second status unit: determining a second status of each device in the new energy wind and solar power station based on the real-time status report and the second historical report; Prediction state unit: determining the prediction state of each device of the new energy wind and solar power station based on the first state and the second state of each device of the new energy wind and solar power station; If both the first state and the second state of the device are normal, the predicted state of the device is determined to be normal; if one of the first state or the second state of the device is an alarm, the predicted state of the device is determined to be an alarm; if one of the first state or the second state of the device is a fault, the predicted state of the device is determined to be a fault; Equipment status reporting unit: Generates equipment status reports based on the predicted status of all equipment in the new energy wind and solar power stations.

6. The new energy station operation and maintenance system based on Mesh network according to claim 5 is characterized in that: The first state unit comprises: A similarity value subunit: determining a similarity value of each device based on the historical environment vectors of the multiple historical status reports in the first historical report, the historical operation vector of each device, and the real-time environment vector in the real-time status report and the real-time operation vector of each device; Among them, S k Re represents the similarity value of the kth device in the real-time status report, j represents the eigenvalue of the jth feature of the real-time environment vector in the real-time status report, He ij represents the feature value of the jth feature of the historical environment vector of the i-th historical status report, N2 represents the number of features in the real-time environment vector, and Rh jk represents the feature value of the jth feature of the real-time environment vector of the kth device in the real-time status report, Hh ijk represents the eigenvalue of the jth feature of the historical environment vector of the kth device in the ith historical status report, α represents the time decay factor, Rt represents the timestamp of the real-time status report, and Ht i represents the timestamp of the i-th historical status report, N1 represents the number of historical status reports in the first historical report, and W i represents the weight of the i-th historical status report based on the historical environment vector, γ represents the adjustment factor, and σE represents the vector variance of the historical environment vectors of all historical status reports in the first historical report; First state subunit: if the similarity value of the device is greater than or equal to the first preset threshold, the first state of the device is determined to be a normal device; if the similarity value of the device is between the first preset threshold and the second preset threshold, the first state of the device is determined to be an alarm device; if the similarity value of the device is less than or equal to the second preset threshold, the first state of the device is determined to be a faulty device.

7. The mesh network-based new energy station operation and maintenance system according to claim 5 is characterized in that: The second state unit comprises: A state transition matrix unit: determining a state transition matrix of each device based on the historical state of each device in all historical state reports in the second historical report; Among them, P k represents the state transition matrix of the kth device, nn k 、aa k ,ff k The number of devices in the two adjacent historical status reports in the second historical report whose device status is normal, alarm, or faulty, respectively. k 、nf k They represent the number of devices whose status of the kth device in the two adjacent historical status reports in the second historical report has changed from normal to alarm and fault, respectively. k ,af k fn respectively represent the number of devices whose device status in the two adjacent historical status reports in the second historical report has changed from alarm to normal and fault. k 、fa k Respectively represent the number of device states of the kth device in two adjacent historical status reports in the second historical report that have changed from fault to normal and alarm, N3 represents the specified number in the second historical report, each row of the state transition matrix is ​​a state transition row vector, specifically, the first row of the state transition matrix is ​​a normal transition row vector, the second row of the state transition matrix is ​​an alarm transition row vector, and the third row of the state transition matrix is ​​a fault transition row vector; A historical status unit: extracting the historical status of each device in the historical status report closest to the timestamp of the real-time status report in the second historical report; Second state unit: based on the extracted historical state of the device and the state transition matrix of the device, determine the state transition row vector corresponding to the device, and select the state after the transition with the largest value in the state transition row vector as the second state of the device.

8. A new energy station operation and maintenance method based on Mesh network, characterized in that: include: 101: Arrange a wireless network for the new energy wind and solar power station, and connect the wireless network to the optical fiber ring network of the wind and solar power station; 102: Real-time monitoring of the real-time operation data of the new energy wind and solar power station equipment and the station environment data, and transmission to the operation and maintenance center; 103: Analyze real-time operation data and station environment data to generate real-time status reports; 104: extract multiple historical status reports, and determine the equipment status report of the new energy wind and solar power station based on the historical status report and the real-time status report; 105: The operation and maintenance center generates maintenance tasks based on the equipment status report and transmits them to the new energy wind and solar power stations. The maintenance personnel maintain the new energy wind and solar power stations based on the operation and maintenance tasks.

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