Power transmission line intelligent monitoring system and method based on power internet of things, and application

Abstract

The invention relates to the technical field of power supply and distribution systems, and particularly provides a power transmission line intelligent monitoring system and method based on the power Internet of Things and application, and the system comprises a power Internet of Things server, a detection system and an Internet of Things communication / transmission module. The method comprises the steps of performing data processing on received power equipment detection data, performing operation and maintenance coordination according to a data processing result, and performing inspection management according to an operation and maintenance coordination result. Through application of the power transmission line intelligent monitoring system based on the power internet of things, operation fluctuation generated in the operation process of power equipment is detected, intelligent early warning is performed on equipment operation risks possibly existing in the power transmission line, and the dynamic states of various power operation and maintenance work are mastered and tracked timely and quickly. The system can quickly respond to emergencies and systematically monitor and early warn micro-meteorological disasters of the power transmission line in a large range.

Description

Technical Field

[0001] The present invention relates to the technical field of power supply and distribution systems, and specifically provides a power transmission line intelligent monitoring system, method and application based on the power Internet of Things. Background Art

[0002] With the development of the Internet of Things and information technology, network systems are becoming more and more complex, the types of networked devices are increasing, and the application fields are becoming more and more extensive. In order to promote the development of power dispatching information technology, ensure the safe, efficient and stable operation of various power business systems, and improve the management level to meet the service needs of power dispatching, more and more transmission line monitoring systems are adopting Internet of Things technology.

[0003] my country has a vast territory, and the distance between power generation resources and load centers is far and uneven. Most of my country's energy concentration areas are in the north and west, and the transmission lines span a wide area. The micro-meteorological environment of a large number of special terrains has a significant impact on the operation of transmission lines or power systems. Because the micro-meteorological environment is small in area, the meteorological department cannot monitor and report the climate conditions of these micro-meteorological points in a timely manner, and micro-meteorological information plays an important role in the safe operation of the power grid; and the meteorological information is scattered, and the transmission line micro-meteorological disaster warning technology lacks systematicity, such as strong regionality, scattered meteorological information collection, lack of professional micro-meteorological and micro-topography information databases, small micro-meteorological disaster monitoring range, and limited work under disaster conditions.

[0004] Intelligent monitoring of transmission lines is the deep integration of new generation information technology such as the Internet of Things and power technology, which fully explores the value and logic of data, realizes intelligent control, data resource, precise management, and intelligent decision-making of power business systems, ensures the safe operation of power facilities, and makes power business operations more efficient, management more scientific, and services better. However, the existing intelligent monitoring of transmission lines can only sense whether power equipment has failed, and is not sensitive to the operating fluctuations of power equipment during operation. It is difficult to provide intelligent warnings for possible equipment operation risks in intelligent monitoring of transmission lines in advance, and the overall operation of transmission lines or power systems is easily affected by the failure of some power equipment.

[0005] In addition, there are many things that need to be dealt with in the operation and maintenance work of the current power operation and maintenance system. Most operation and maintenance departments lack work planning and randomly arrange operation and maintenance tasks, which causes operation and maintenance personnel to be exhausted and their work efficiency is low, thus causing huge pressure on power maintenance. As a result, in the actual daily operation and maintenance work, it is impossible to grasp and track the work dynamics of various power operation and maintenance work in a timely and fast manner and respond quickly to emergencies. Summary of the invention

[0006] In order to solve the above-mentioned technical problems, the present application provides an intelligent monitoring system, method and application of transmission lines based on the power Internet of Things, so as to solve the problems in the above-mentioned prior art that the intelligent monitoring of transmission lines can usually only sense whether the power equipment has failed, and is insensitive to the operating fluctuations generated by the power equipment during operation. It is difficult to provide intelligent early warning for the equipment operation risks that may exist in the intelligent monitoring of transmission lines, which may easily cause the failure of power equipment and affect the overall operation of the transmission line or power system. The existing transmission lines or power systems cannot grasp and track the working dynamics of various power operation and maintenance work in a timely and fast manner and respond quickly to emergencies. The early warning of micro-meteorological disasters on transmission lines lacks systematicity, the monitoring range is small, and work is restricted under disaster conditions.

[0007] In a first aspect, the present invention provides an intelligent monitoring system for power transmission lines based on the power Internet of Things, comprising: a power Internet of Things server, a detection system and an Internet of Things communication / transmission module, wherein the power Internet of Things server is electrically connected to the detection system through the Internet of Things communication / transmission module;

[0008] The power Internet of Things server is used to monitor the operating data of the power equipment of the power Internet of Things connected to the transmission line online; the detection device or detection terminal of the detection system corresponds one-to-one to the power equipment of the power Internet of Things connected to the transmission line, and the detection system is used to detect and collect the operating data of the power equipment of the power Internet of Things connected to the transmission line in real time; the Internet of Things communication / transmission module is used to establish a communication connection between the detection system and the power Internet of Things server;

[0009] The power Internet of Things server includes: a power equipment standard establishment unit and an operation analysis unit, which are implemented through software or in combination with relevant hardware of the server computer system; the power equipment standard establishment unit is used to construct a standardized operation matrix that corresponds one-to-one with the power equipment of the power Internet of Things connected to the transmission line; the operation analysis unit is used to determine whether the power equipment of the power Internet of Things connected to the transmission line is in a normal operating state based on the operation data of the power equipment of the power Internet of Things connected to the transmission line and the standardized operation matrix that corresponds one-to-one with the power equipment of the power Internet of Things connected to the transmission line. If so, no response is made; if not, an alarm signal is output.

[0010] In the embodiment of the present invention, the power equipment mainly includes: a transformer, which is used to change the AC voltage and compress the electric energy of the high-voltage transmission line to a suitable voltage range so as to be transmitted to the user terminal, and at the same time provide a power regulation function; a circuit breaker, which is used to protect the transmission line and quickly cut off the circuit when an abnormal situation such as a short circuit or overload occurs, so as to ensure the safety and reliability of power transmission; an isolating switch, which is used to cut off the transmission line for easy inspection and maintenance, and is equivalent to a safety switch of the transmission line; cables and wires, which transmit electric energy from the substation to the user terminal, are divided into different types such as high-voltage, medium-voltage and low-voltage lines; pole towers, which are used to support the transmission line and bear weight and tension, and common types include voltage towers, angle steel towers, iron towers and concrete poles; and other equipment related to transmission and lines; each of these devices has a specific function and role, and reasonable use and configuration can effectively ensure the efficient, safe and stable transmission of electric energy.

[0011] In an embodiment of the present invention, the operating data of the power equipment mainly includes: power grid operating data and operating data of main power equipment in the power system; the power grid operating data is mainly used for data for monitoring and analyzing power grid operation, including: parameters of main power grid equipment, topological relationships and measurement data during equipment operation, etc.; the operating data of main power equipment includes: real-time power, voltage, current, power factor, etc. These data can be collected through sensors, smart meters and other equipment, and are mainly used for real-time monitoring, fault warning, optimization of power dispatch and other aspects.

[0012] The intelligent monitoring system for transmission lines based on the ubiquitous power Internet of Things provided by the present invention analyzes the historical operating status of the power equipment of the power Internet of Things connected to the transmission line, obtains the operating data of the power equipment of the power Internet of Things connected to the transmission line under normal working conditions, and performs a comprehensive fitting analysis based on the operating data of the power equipment of the power Internet of Things connected to the transmission line under normal working conditions to determine whether there is a risk in the operating status of the power equipment of the power Internet of Things connected to the transmission line, and performs intelligent early warning based on the analysis results.

[0013] The operation analysis unit includes: a setting subunit, a preprocessing subunit, a deviation calculation subunit, a fitting subunit and a state determination subunit;

[0014] The setting subunit is used to set a monitoring and analysis cycle; the preprocessing subunit is used to classify the operating data of the power equipment collected during the monitoring and analysis cycle according to different working states; the deviation calculation subunit is used to calculate the operating deviation rate of the operating data of the power equipment collected during the monitoring and analysis cycle; the fitting subunit is used to calculate the fitting index between the operating deviation rate of the operating data of the power equipment collected during the monitoring and analysis cycle and the standardized operating matrix through a fitting calculation formula; the state judgment subunit is used to judge whether the fitting index is greater than the fitting preset value. If so, it is judged that the power equipment of the power Internet of Things connected to the transmission line is in an abnormal operating state. If not, it is judged that the power equipment of the power Internet of Things connected to the transmission line is in a normal operating state.

[0015] The detection system is also used to collect power data, which includes the operation and status parameters of the power equipment on the transmission line and its site and the on-site environmental parameters; the detection device of the detection system includes voltage detection sensors, current detection sensors, electric temperature detection sensors, other electromagnetic devices, etc., which are arranged at the key nodes of the transmission line or the power system, and the power data includes the total amount of each electromagnetic device, the number, status and properties of each sensor, etc.; the Internet of Things communication / transmission module is used to collect the power data collected by the detection system through the bus, and transmit the power data to the power Internet of Things server through the Internet.

[0016] The intelligent monitoring system for power transmission lines based on the ubiquitous power Internet of Things of the present invention further includes an operation and maintenance terminal and a monitoring terminal, wherein the operation and maintenance terminal and the monitoring terminal are electrically connected to the power Internet of Things server through the Internet of Things communication / transmission module;

[0017] The monitoring terminal includes a main display screen and a control terminal; the main display screen is used to display static data or charts, or to display dynamic data or curves; the control terminal is a PC host, a laptop computer, a tablet or other interactive terminal, which is communicatively connected to the power Internet of Things server.

[0018] The operation and maintenance terminal includes a positioning module and a communication module, wherein the positioning module is used to obtain the location information of the operation and maintenance personnel, and the communication module is used to remotely communicate with the power Internet of Things server;

[0019] The power Internet of Things server also includes a data processing unit and an operation and maintenance coordination unit; the data processing unit includes: a data receiving module, a data processing module and a data display module, etc.;

[0020] The data receiving module is used to receive the power data collected by the detection system configured on site through the Internet of Things communication / transmission module; the data processing module is used to compare the collected power data according to the preset fault data model, obtain the prediction result matching the fault model, predict the fault node corresponding to the prediction result, and analyze the geographical location corresponding to the fault node; the fault data model is pre-stored in the database of the power Internet of Things server, and the fault data model is constructed according to the bp neural network; the data display module is used to display the received power data, prediction results, fault nodes and the geographical location corresponding to the fault nodes through the monitoring terminal;

[0021] The operation and maintenance coordination unit is used to send the faulty node and the geographical location corresponding to the faulty node to the operation and maintenance terminal to notify the operation and maintenance personnel to perform maintenance when the data processing module predicts that there is a fault.

[0022] The operation and maintenance terminal also includes an inspection punch-in module, which is used to send punch-in information to the power Internet of Things server before the inspection begins, and turn on the positioning module after sending the punch-in information; the inspection punch-in module is also used to send punch-in information to the power Internet of Things server after the inspection is completed, and turn off the positioning module after sending the punch-in information;

[0023] The operation and maintenance coordination unit includes an operation and maintenance personnel search module, a location acquisition module, a traffic resource acquisition module, a route planning module, etc.;

[0024] The operation and maintenance personnel search module is used to search for the operation and maintenance terminal within the nearest range based on the geographical location corresponding to the fault node as the center of the circle; the nearest range refers to the shortest line connecting the geographical location coordinates of the fault node and the geographical location coordinates of the operation and maintenance terminal; the position acquisition module is used to obtain the position information and identity number information of the operation and maintenance terminal within the nearest range, and the operation and maintenance coordination unit then notifies the designated operation and maintenance personnel to rush to the geographical location corresponding to the fault node according to the identity number information of the operation and maintenance terminal; the traffic resource acquisition module is used to obtain the traffic mobile resources configured for the operation and maintenance personnel; the route planning module is used to generate a maintenance route based on the position information of the operation and maintenance personnel and the geographical location corresponding to the fault node, and select the optimal maintenance route based on the traffic mobile resources configured for the operation and maintenance personnel.

[0025] The power Internet of Things server also includes a patrol management unit, which includes: a patrol module, a patrol comparison module, a route analysis module and a patrol check-in module;

[0026] The inspection module is used to arrange the inspection route of the designated operation and maintenance personnel, and obtain the real-time location information of the operation and maintenance personnel through the operation and maintenance terminal; the inspection comparison module is used to analyze and determine whether the real-time location information of the operation and maintenance personnel is kept on the inspection route in real time. At this time, when the inspection comparison module analyzes and determines that the operation and maintenance personnel deviate from the inspection route, the operation and maintenance coordination unit sends a warning message to the operation and maintenance terminal of the operation and maintenance personnel; the route analysis module is used to obtain the inspection route of the operation and maintenance personnel and analyze the starting point and end point of the inspection route; the inspection check-in module is used to obtain the location information of the operation and maintenance personnel after receiving the punch-in information for the first time and compare it with the starting point of the inspection route. If the comparison is successful, the punch-in is successful; it is also used to obtain the location information of the operation and maintenance personnel after receiving the punch-in information for the second time and compare it with the end point of the inspection route. If the comparison is successful, the punch-in is successful. The punch-in information includes the punch-in time information, and the punch-in time information is used for attendance.

[0027] The setting of the inspection clock-in module can prevent the positioning function of the operation and maintenance terminal from being turned on outside working hours, thereby saving electricity and allowing the operation and maintenance terminal to be used for a long time; and the setting of the inspection sign-in module can clock in and sign in for the operation and maintenance personnel to ensure that they work on time.

[0028] The power transmission line intelligent monitoring system based on the power Internet of Things of the present invention can provide intelligent early warning of possible equipment operation risks in the intelligent monitoring of transmission lines, thereby avoiding the problem that the overall operation of the transmission line or power system is affected due to failure of power equipment; it solves the problem that the existing transmission lines or power systems are unable to promptly and quickly grasp and track the working dynamics of various power operation and maintenance work and respond quickly to emergencies.

[0029] In a second aspect, the present invention further provides a method for intelligent monitoring of power transmission lines based on the power Internet of Things. The method is applied to an intelligent monitoring system for power transmission lines based on the power Internet of Things, and comprises the following steps:

[0030] Processing the received power equipment detection data;

[0031] Coordinate operation and maintenance based on the results of data processing;

[0032] Conduct inspection management based on the results of operation and maintenance coordination;

[0033] The step of processing the received power equipment detection data includes:

[0034] Construct a standardized operation matrix that corresponds one-to-one with the power equipment of the power Internet of Things connected to the transmission line, through the power equipment standard establishment unit;

[0035] Calculate the operation deviation rate of the operation data of the power equipment collected during the monitoring and analysis period through the operation analysis unit;

[0036] The construction of a standardized operation matrix corresponding one-to-one to the power equipment of the power Internet of Things connected to the transmission line includes:

[0037] Obtain all working status of power equipment of the power Internet of Things connected to the transmission line;

[0038] Obtain historical operating data of each working state of the power equipment of the power Internet of Things connected to the transmission line;

[0039] Based on historical operation data, calculate the historical operation deviation rate;

[0040] Eliminate abnormal data in the historical operation deviation rate to obtain the standard historical operation deviation rate;

[0041] The average of all standard historical operation deviation rates is calculated to obtain the standardized operation deviation rate under the current working state;

[0042] Obtain the standardized operation deviation rate under all working conditions and form a standardized operation matrix;

[0043] By analyzing the standardized operation matrix, a standardized operation deviation rate of the power equipment is obtained;

[0044] The standardized operating deviation rate is obtained by combining the standard operating status of the equipment under different working conditions. It can more accurately reflect the standard operating status of the power equipment in the current transmission line or power system than the set rated operating error. Judging the operating status of the power equipment based on this standardized operating deviation rate can more sensitively discover the hidden operating risks that may exist in the power equipment, thereby effectively improving the monitoring level of the transmission line intelligent monitoring system.

[0045] The present invention adopts the kurtosis deviation method to eliminate abnormal data in the historical operation deviation rate. For equipment under normal working conditions, its operating parameters fluctuate downward between the set operating parameter values ​​within a certain fluctuation range. When the equipment accidentally has an abnormal operating state, the operating parameters of the equipment fluctuate abnormally. Based on this, the kurtosis test method can effectively eliminate abnormal data that are too large or too small and do not conform to the normal distribution in the historical operation deviation rate, thereby reducing the calculation impact of the abnormal operating state on the standard operating state of the equipment.

[0046] The calculating of the operation deviation rate of the operation data of the electric power equipment collected during the monitoring and analysis period includes:

[0047] Obtaining preset operating data of the electric power equipment within a monitoring and analysis period;

[0048] Fitting a time-dependent function of the operation value of the power equipment based on the operation data of the power equipment collected during the monitoring and analysis period;

[0049] Based on the time-varying function of the operating value of the electric power equipment and the preset operating data of the electric power equipment within the monitoring and analysis period, the time-varying function of the operating deviation rate is calculated by a deviation rate calculation formula;

[0050] The variation function of the operation deviation rate of all operation data under all working conditions within the detection period with respect to time forms a deviation rate matrix;

[0051] During the operation of power equipment, it is usually necessary to switch between different working states. In this scheme, the time-varying function of the operation deviation rate of the power equipment under different working states is collected to form a deviation rate matrix, and the comprehensive deviation distance mean between the deviation rate matrix and the standardized operation matrix is ​​calculated as a fitting index to reflect the operating state of the power equipment within the set monitoring period. The larger the fitting index is, the greater the deviation of the operating state of the power equipment within the set monitoring period from the standardized operating state is, and the worse the operating state of the power equipment is.

[0052] The step of processing the received power equipment detection data comprises:

[0053] Receive power data collected by a detection system configured on site through an IoT communication / transmission module;

[0054] Compare the collected power data with the preset fault data model, obtain the prediction results that match the fault model, predict the fault nodes corresponding to the prediction results, and analyze the geographical locations corresponding to the fault nodes;

[0055] The received power data, prediction results, fault nodes and the geographical locations corresponding to the fault nodes are displayed through the monitoring terminal;

[0056] The operation and maintenance coordination according to the data processing results includes:

[0057] When a fault is predicted in the data processing step, the faulty node and the geographical location corresponding to the faulty node are sent to the operation and maintenance terminal to notify the operation and maintenance personnel to perform maintenance;

[0058] Based on the geographical location of the faulty node as the center of the circle, search for the nearest operation and maintenance terminal;

[0059] Obtain the location information and identity number information of the operation and maintenance terminal in the nearest range;

[0060] Notify the designated operation and maintenance personnel to rush to the geographical location corresponding to the faulty node according to the identity number information of the operation and maintenance terminal;

[0061] Obtain the traffic mobility resources configured for operation and maintenance personnel;

[0062] A maintenance route is generated based on the location information of the operation and maintenance personnel and the geographical location corresponding to the faulty node, and the optimal maintenance route is selected based on the traffic mobility resources configured for the operation and maintenance personnel.

[0063] The inspection management is carried out according to the results of operation and maintenance coordination, including:

[0064] Arrange inspection routes for designated operation and maintenance personnel, and obtain real-time location information of operation and maintenance personnel through operation and maintenance terminals;

[0065] Analyze and determine whether the real-time location information of the operation and maintenance personnel remains on the inspection route in real time;

[0066] When the inspection comparison module determines that the operation and maintenance personnel have deviated from the inspection route, a warning message is sent to the operation and maintenance terminal of the operation and maintenance personnel;

[0067] Obtain the inspection routes of operation and maintenance personnel and analyze the starting and ending points of the inspection routes;

[0068] After receiving the clock-in information for the first or second time, the location information of the operation and maintenance personnel is obtained and compared with the starting point or end point of the inspection route. If the comparison is successful, the clock-in is successful.

[0069] The intelligent monitoring method for power transmission lines based on the power Internet of Things of the present invention, through intelligent monitoring of the transmission lines, senses whether power equipment has failed, detects operating fluctuations generated by power equipment during operation, and realizes intelligent early warning of equipment operation risks that may exist in the intelligent monitoring of transmission lines, thereby avoiding the problem of the overall operation of the transmission lines or power systems being affected; and solves the problem that the existing transmission lines or power systems are unable to promptly and quickly grasp and track the working dynamics of various power operation and maintenance work and quickly respond to emergencies.

[0070] In a third aspect, the present invention further provides an application of an intelligent monitoring system for power transmission lines based on the power Internet of Things, using an intelligent monitoring system and method for power transmission lines based on the power Internet of Things, and the specific application process includes the following steps:

[0071] Establish a comprehensive micro-meteorological disaster monitoring system for power transmission lines;

[0072] Build a detection system based on the Internet of Things;

[0073] Build an intelligent monitoring system for power transmission lines in the ubiquitous power Internet of Things;

[0074] Build a visual monitoring and management interface;

[0075] Establish a forecasting and early warning system.

[0076] The present invention, through the application of the intelligent monitoring system for power transmission lines based on the power Internet of Things, can not only enable the intelligent monitoring of transmission lines to monitor power equipment, sense whether power equipment has failed, detect operating fluctuations generated by power equipment during operation, but also make intelligent early warnings for possible equipment operation risks in the intelligent monitoring of transmission lines in advance, so as to avoid the problem that the overall operation of the transmission line or the power system is affected due to the failure of some power equipment; it can also grasp and track the working dynamics of various power operation and maintenance work in the existing transmission lines or power systems in a timely and fast manner and respond quickly to emergencies, and also solve the problems of lack of systematicity in early warning of micro-meteorological disasters on transmission lines, small monitoring range, and limited work under disaster conditions.

[0077] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0078] 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.

[0079] Figure 1 It is a block diagram of an intelligent monitoring system for power transmission lines based on the power Internet of Things provided by an embodiment of the present invention;

[0080] Figure 2 This is a functional block diagram of a ubiquitous power Internet of Things server provided by an embodiment of the present invention;

[0081] Figure 3 is a functional block diagram of an operation analysis unit provided in an embodiment of the present invention;

[0082] Figure 4 It is a flow chart of a method for intelligent monitoring of power transmission lines based on the power Internet of Things provided by an embodiment of the present invention;

[0083] Figure 5 is a flow chart of data processing of received power equipment detection data provided by an embodiment of the present invention;

[0084] Figure 6 It is a standardized operation matrix flow chart for constructing a one-to-one correspondence between power equipment of the power Internet of Things connected to the transmission line provided by an embodiment of the present invention;

[0085] Figure 7is a flow chart of calculating the operation deviation rate of the operation data of the electric power equipment collected within the monitoring and analysis period provided by an embodiment of the present invention;

[0086] Figure 8 It is a flow chart of an application method of a power transmission line intelligent monitoring system based on the power Internet of Things provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0087] 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.

[0088] Combine the following Figures 1 to 8 The embodiments shown describe the technical solution of the present invention:

[0089] Example 1

[0090] like Figure 1 As shown, this embodiment provides a power transmission line intelligent monitoring system based on the power Internet of Things, including: a power Internet of Things server, a detection system and an Internet of Things communication / transmission module, and the power Internet of Things server is electrically connected to the detection system through the Internet of Things communication / transmission module;

[0091] The electric power Internet of Things of this embodiment may be a ubiquitous electric power Internet of Things (UEIOT), which is a smart service system that fully utilizes modern information technologies such as mobile Internet and artificial intelligence and advanced communication technologies around various links of power transmission lines or power systems to achieve interconnection of all things and human-machine interaction in various links of power transmission lines or power systems, and has the characteristics of comprehensive state perception, efficient information processing, and convenient and flexible application, including a four-layer structure of perception layer, network layer, platform layer, and application layer; the electric power Internet of Things server may also be a ubiquitous electric power Internet of Things server based on the ubiquitous electric power Internet of Things;

[0092] The ubiquitous power Internet of Things server is used to monitor the operating data of the power equipment of the power Internet of Things connected to the transmission line online; the detection device or detection terminal (such as sensor 1, sensor 2, ... sensor n) of the detection system corresponds one-to-one with the power equipment of the power Internet of Things connected to the transmission line, and the detection system can also be a detection system for real-time detection and collection of the operating data of the power equipment of the power Internet of Things connected to the transmission line; the Internet of Things communication / transmission module is used to establish a communication connection between the detection system and the ubiquitous power Internet of Things server;

[0093] Among them, Figure 2 As shown, the ubiquitous power Internet of Things server includes: a power equipment standard establishment unit and an operation analysis unit, which are implemented by software or in combination with relevant hardware of the server computer system; the power equipment standard establishment unit is used to construct a standardized operation matrix corresponding one-to-one with the power equipment of the power Internet of Things connected to the transmission line; the operation analysis unit is used to determine whether the power equipment of the power Internet of Things connected to the transmission line is in a normal operating state based on the operation data of the power equipment of the power Internet of Things connected to the transmission line and the standardized operation matrix corresponding one-to-one with the power equipment of the power Internet of Things connected to the transmission line. If so, no response is made, and if not, an alarm signal is output.

[0094] In this embodiment, the power equipment used for the transmission line mainly includes: a transformer, which is used to change the AC voltage and compress the electric energy of the high-voltage transmission line to a suitable voltage range so as to be transmitted to the user terminal, and at the same time provide a power regulation function; a circuit breaker, which is used to protect the transmission line and quickly cut off the circuit when an abnormal situation such as a short circuit or overload occurs, so as to ensure the safety and reliability of power transmission; an isolating switch, which is used to cut off the transmission line for easy inspection and maintenance, and is equivalent to a safety switch for the transmission line; cables and wires, which transmit electric energy from the substation to the user terminal, are divided into different types such as high-voltage, medium-voltage and low-voltage lines; poles and towers, which are used to support the transmission line and bear weight and tension. Common types include voltage towers, angle steel towers, iron towers and concrete poles; and other equipment related to transmission and lines; each of these devices has a specific function and role, and reasonable use and configuration can effectively ensure the efficient, safe and stable transmission of electric energy.

[0095] In this embodiment, the operating data of the power equipment mainly includes: the operating data of the power grid and the operating data of the main power equipment in the power system; the power grid operation data is mainly used for data for monitoring and analyzing the operation of the power grid, including: parameters of the main equipment of the power grid, topological relationships and measurement data during equipment operation, etc.; the operating data of the main power equipment includes: real-time power, voltage, current, power factor, etc. These data can be collected through sensors, smart meters and other equipment, and are mainly used for real-time monitoring, fault warning, optimization of power dispatching and other aspects.

[0096] Specifically, for example: electricity consumption data, such as the monthly electricity consumption of the five southern provinces and regions was about 124.3 billion kWh, of which agricultural electricity consumption increased by 7% year-on-year, and the electricity consumption of charging and swapping services and Internet data services increased significantly, up 35.4% and 25.7% year-on-year respectively; specific operating parameters of power generation equipment, such as diesel generator operation records: operating data of a diesel generator in a specific time period (such as 8:00-10:00), including generator number, operating hours, generator output voltage (such as 220V), generator output frequency (such as 50Hz), exhaust temperature, etc.; line operation data, such as L The long-term allowable current carrying capacity data of GJ steel core aluminum stranded wire at different cross-sections and temperatures are crucial to ensuring that the line operates within a safe range; the operating data of the power transformer, such as the name and status of the transformer load switch, the temperature of the transformer room, the temperature of the distribution room, the voltage, the current, the transformer temperature, the active power, the reactive power and the power factor, etc., are usually recorded in the power operation record table for monitoring the operating status of the transformer, etc.; the operating data of the power equipment in the above examples in different application scenarios are of great significance to the safe, stable and efficient operation of the power system in this embodiment.

[0097] The intelligent monitoring system for transmission lines based on the ubiquitous power Internet of Things provided in this embodiment analyzes the historical operating status of the power equipment of the power Internet of Things connected to the transmission line, obtains the operating data of the power equipment of the power Internet of Things connected to the transmission line under normal working conditions, and performs a comprehensive fitting analysis based on the operating data of the power equipment of the power Internet of Things connected to the transmission line under normal working conditions to determine whether there is a risk in the operating status of the power equipment of the power Internet of Things connected to the transmission line, and performs intelligent early warning based on the analysis results; the power Internet of Things for transmission lines in this embodiment can also be a kind of intelligent monitoring Internet of Things for transmission lines;

[0098] For further information, see Figure 3 , the operation analysis unit includes: a setting subunit, a preprocessing subunit, a deviation calculation subunit, a fitting subunit and a state determination subunit;

[0099] The setting subunit is used to set a monitoring and analysis cycle; the preprocessing subunit is used to classify the operating data of the power equipment collected during the monitoring and analysis cycle according to different working states; the deviation calculation subunit is used to calculate the operating deviation rate of the operating data of the power equipment collected during the monitoring and analysis cycle; the fitting subunit is used to calculate the fitting index between the operating deviation rate of the operating data of the power equipment collected during the monitoring and analysis cycle and the standardized operating matrix through a fitting calculation formula; the state judgment subunit is used to judge whether the fitting index is greater than the fitting preset value. If so, it is judged that the power equipment connected to the transmission line intelligent monitoring Internet of Things is in an abnormal operating state. If not, it is judged that the power equipment connected to the transmission line intelligent monitoring Internet of Things is in a normal operating state.

[0100] In this embodiment, the detection system is also used to collect power data, which includes the operation and status parameters of the power equipment on the transmission line and its site and the on-site environmental parameters. The detection system includes voltage detection sensors, current detection sensors, electric temperature detection sensors, other electromagnetic devices, etc., which are arranged at the key nodes of the transmission line or power system. The power data includes the total amount of each electromagnetic device, the number, status and attributes of each sensor, etc. The Internet of Things communication / transmission module is used to collect the power data collected by the detection system through the bus, and transmit the power data to the ubiquitous power Internet of Things server through the Internet.

[0101] Furthermore, the power transmission line intelligent monitoring system based on the power Internet of Things of this embodiment also includes an operation and maintenance terminal and a monitoring terminal, and the operation and maintenance terminal and the monitoring terminal are electrically connected to the ubiquitous power Internet of Things server through the Internet of Things communication / transmission module.

[0102] The monitoring terminal includes a main display screen and a control terminal; the main display screen is used to display static data or charts (charts include bar charts, curves and tables), or to display dynamic data or curves. The control terminal is a PC host, a laptop, a tablet or other interactive terminals. In this embodiment, the control terminal is a PC host, and the control terminal is connected to the ubiquitous power Internet of Things server.

[0103] The operation and maintenance terminal includes a positioning module and a communication module. The positioning module is used to obtain the location information of the operation and maintenance personnel, and the communication module is used to remotely communicate with the ubiquitous power Internet of Things server. The positioning module uses a GPS positioning module, and the communication module uses a 4G module.

[0104] Furthermore, the ubiquitous power Internet of Things server of this embodiment further includes a data processing unit and an operation and maintenance coordination unit; the data processing unit includes: a data receiving module, a data processing module and a data display module, etc.;

[0105] The data receiving module is used to receive the power data collected by the detection system configured on site through the Internet of Things communication / transmission module; the data processing module is used to compare the collected power data according to the preset fault data model, obtain the prediction result matching the fault model, predict the fault node corresponding to the prediction result, and analyze the geographical location corresponding to the fault node; the fault data model is pre-stored in the database of the ubiquitous power Internet of Things server, and the fault data model is constructed according to the BP neural network. The use of the BP neural network for fault diagnosis belongs to the existing technology, and this solution will not be described in detail here; the data display module is used to display the received power data, prediction results, fault nodes and the geographical location corresponding to the fault nodes through the monitoring terminal;

[0106] The operation and maintenance coordination unit is used to send the faulty node and the geographical location corresponding to the faulty node to the operation and maintenance terminal to notify the operation and maintenance personnel to perform maintenance when the data processing module predicts that there is a fault.

[0107] Furthermore, the operation and maintenance terminal of this embodiment also includes a patrol inspection punch-in module, which is used to send punch-in information to the ubiquitous power Internet of Things server before the patrol inspection begins, and turn on the positioning module after sending the punch-in information; the patrol inspection punch-in module is also used to send punch-in information to the ubiquitous power Internet of Things server after the patrol inspection is completed, and turn off the positioning module after sending the punch-in information; the operation and maintenance coordination unit includes an operation and maintenance personnel search module, a location acquisition module, a traffic resource acquisition module, a route planning module, etc.;

[0108] The operation and maintenance personnel search module is used to search for the operation and maintenance terminal within the nearest range based on the geographical location corresponding to the fault node as the center of the circle; the principle is similar to that of radar, with the fault node as the center of the circle, and the operation and maintenance terminal within the concentric circle of a fixed diameter is searched. The nearest range refers to the shortest line between the geographical location coordinates of the fault node and the geographical location coordinates of the operation and maintenance terminal; the location acquisition module: is used to obtain the location information and identity number information of the operation and maintenance terminal within the nearest range; the operation and maintenance coordination unit notifies the designated operation and maintenance personnel to rush to the geographical location corresponding to the fault node according to the identity number information of the operation and maintenance terminal; the traffic resource acquisition module is used to obtain the traffic mobile resources configured for the operation and maintenance personnel; the route planning module is used to generate a maintenance route based on the location information of the operation and maintenance personnel and the geographical location corresponding to the fault node, and select the optimal maintenance route based on the traffic mobile resources configured for the operation and maintenance personnel.

[0109] Furthermore, the ubiquitous power Internet of Things server of this embodiment further includes a patrol management unit, which includes: a patrol module, a patrol comparison module, a route analysis module and a patrol check-in module;

[0110] The inspection module is used to arrange the inspection route of the designated operation and maintenance personnel, and obtain the real-time location information of the operation and maintenance personnel through the operation and maintenance terminal; the inspection comparison module is used to analyze and determine whether the real-time location information of the operation and maintenance personnel is kept on the inspection route in real time; the operation and maintenance coordination unit sends a warning message to the operation and maintenance terminal of the operation and maintenance personnel when the inspection comparison module analyzes and determines that the operation and maintenance personnel deviate from the inspection route; the route analysis module is used to obtain the inspection route of the operation and maintenance personnel and analyze the starting point and end point of the inspection route; the inspection check-in module is used to obtain the location information of the operation and maintenance personnel after receiving the punch-in information for the first time and compare it with the starting point of the inspection route. If the comparison is successful, the punch-in is successful; it is also used to obtain the location information of the operation and maintenance personnel after receiving the punch-in information for the second time and compare it with the end point of the inspection route. If the comparison is successful, the punch-in is successful. The punch-in information includes the punch-in time information, and the punch-in time information is used for attendance.

[0111] In this embodiment, the setting of the patrol inspection punch-in module can prevent the positioning function of the operation and maintenance terminal from being turned on outside working hours, thereby saving electricity and allowing the operation and maintenance terminal to be used for a long time; and the setting of the patrol inspection sign-in module can clock in and sign in for the operation and maintenance personnel to ensure that they work on time.

[0112] The intelligent monitoring system for transmission lines based on the power Internet of Things provided in this embodiment can provide intelligent early warning of possible equipment operation risks in the intelligent monitoring of transmission lines, thereby avoiding the problem that the overall operation of the transmission lines or power systems is affected due to failures in power equipment; it solves the problem that existing transmission lines or power systems are unable to promptly and quickly grasp and track the working dynamics of various power operation and maintenance work and respond quickly to emergencies.

[0113] Example 2

[0114] This embodiment provides a method for intelligent monitoring of power transmission lines based on the power Internet of Things. This method is applied to the intelligent monitoring system for power transmission lines based on the power Internet of Things in Example 1. Figure 4 As shown, the following steps are included:

[0115] S1. Processing the received power equipment detection data;

[0116] S2. Coordinate operation and maintenance based on the results of data processing;

[0117] S3. Conduct inspection management based on the results of operation and maintenance coordination;

[0118] In this embodiment, step S1 processes the received power equipment detection data, such as Figure 5 As shown, including:

[0119] S10, constructing a standardized operation matrix corresponding to the power equipment connected to the transmission line intelligent monitoring Internet of Things, through the power equipment standard establishment unit;

[0120] S11, calculating the operation deviation rate of the equipment operation data collected during the monitoring and analysis period, by the operation analysis unit;

[0121] Further, in step S10, a standardized operation matrix corresponding to the power equipment connected to the transmission line intelligent monitoring Internet of Things is constructed, such as Figure 6 As shown, specifically including:

[0122] S101, obtaining all working states of power equipment connected to the power transmission line intelligent monitoring Internet of Things;

[0123] S102, obtaining historical operation data of each working state of the power equipment connected to the power transmission line intelligent monitoring Internet of Things;

[0124] S103. Calculate the historical operation deviation rate based on the historical operation data;

[0125] S104, eliminating abnormal data in the historical operation deviation rate to obtain a standard historical operation deviation rate;

[0126] S105, averaging all standard historical operation deviation rates to obtain a standardized operation deviation rate under the current working state;

[0127] S106, obtaining standardized operation deviation rates under all working conditions to form a standardized operation matrix A;

[0128]

[0129] Among them, x ij It is the standard historical operation deviation rate of the jth device operation data in the ith working state of the power equipment connected to the transmission line intelligent monitoring Internet of Things, m is the total number of working states, and n is the total number of device operation data.

[0130] S107, by analyzing the historical operating status of the equipment (power equipment) of the transmission line intelligent monitoring Internet of Things, a standardized operating deviation rate of the equipment is obtained;

[0131] The standardized operating deviation rate is obtained by combining the standard operating status of the equipment under different working conditions. It can more accurately reflect the standard operating status of the power equipment in the current transmission line or power system than the set rated operating error. Judging the operating status of the power equipment based on this standardized operating deviation rate can more sensitively discover the hidden operating risks that may exist in the power equipment, thereby effectively improving the monitoring level of the transmission line intelligent monitoring system.

[0132] Eliminate abnormal data in the historical operation deviation rate and obtain the standard historical operation deviation rate as follows:

[0133] The kurtosis deviation method is used to eliminate abnormal data in the historical operation deviation rate;

[0134] The expression of the kurtosis test method is as follows:

[0135]

[0136] In the expression of the kurtosis test method, c is the ranking number of the historical running deviation rate in the order from small to large among all the historical running deviation rates, y is the average value of all the historical running deviation rates, and y a To sort the previous data in ascending order, bpn is obtained by checking the Grabus table;

[0137] If the expression of the kurtosis test method is satisfied, y c It is abnormal data.

[0138] Among them, bpn is determined by checking the Grubbs table, and the specific steps are: first determine the detection level of all historical operation deviation rates, the detection level of the historical operation deviation rate ranges from 0.01 to 0.1. In some embodiments, the detection level of the historical operation deviation rate is taken as 0.05, and then based on the detection level of the historical operation deviation rate and the total number of historical operation deviation rates, the corresponding bpn is checked in the Grubbs table.

[0139] It can be understood that for equipment in normal working conditions, its operating parameters fluctuate downward between the set operating parameter values ​​within a certain fluctuation range. When the equipment accidentally experiences an abnormal operating state, the operating parameters of the equipment experience abnormal fluctuations. Based on this, the kurtosis test method can effectively eliminate abnormal data that are too large or too small in the historical operating deviation rate and do not conform to the normal distribution, thereby reducing the impact of the abnormal operating state on the calculation of the standard operating state of the equipment.

[0140] In this embodiment, step S11 calculates the operation deviation rate of the equipment operation data collected during the monitoring and analysis period, such as Figure 7 As shown, specifically including:

[0141] S111, obtaining preset operation data of the equipment within the monitoring and analysis period;

[0142] S112, fitting a function of the change of the equipment operation value with respect to time t based on the equipment operation data collected during the monitoring and analysis period;

[0143] S113, based on the variation function of the equipment operation value with respect to time t and the preset operation data of the equipment within the monitoring and analysis period, calculating the variation function of the operation deviation rate with respect to time t by using the deviation rate calculation formula;

[0144]

[0145] S114, forming a deviation rate matrix B by using the variation function of the operation deviation rate of all operation data in all working states within the detection period with respect to time t;

[0146] Among them, P(t) ij It is a function of the variation of the operating deviation rate of the jth device operating data in the ith working state of the power equipment connected to the transmission line intelligent monitoring Internet of Things within the monitoring and analysis period with respect to time t.

[0147] The formula for calculating the deviation rate is:

[0148]

[0149] Where P(t) is the function of the change of the operation deviation rate with respect to time t, s(t) is the function of the change of the equipment operation value with respect to time, and s0 is the preset operation data of the equipment during the monitoring and analysis period.

[0150] The specific fitting calculation formula is:

[0151]

[0152] Where N is the fitting index, ti1 is the start time of the i-th working state of the power equipment connected to the transmission line intelligent monitoring Internet of Things within the monitoring and analysis period, ti2 is the end time of the i-th working state of the power equipment connected to the transmission line intelligent monitoring Internet of Things within the monitoring and analysis period, and T is the duration of the monitoring and analysis period.

[0153] During the operation of power equipment, it is usually necessary to switch between different working states. In this scheme, the variation function of the operation deviation rate of the equipment under different working states with respect to time t is collected to form a deviation rate matrix B, and the comprehensive deviation distance mean between the deviation rate matrix B and the standardized operation matrix A is calculated as a fitting index to reflect the operating state of the power equipment within the set monitoring period. The larger the fitting index, the greater the deviation of the operating state of the power equipment within the set monitoring period from the standardized operating state, and the worse the operating state of the power equipment.

[0154] Furthermore, in this embodiment, step S1 processes the received power equipment detection data, such as Figure 5 As shown, it also includes:

[0155] S12, receiving power data collected by a detection system configured on site through an Internet of Things communication / transmission module;

[0156] S13, comparing the collected power data with a preset fault data model, obtaining a prediction result matching the fault model, predicting a fault node corresponding to the prediction result, and analyzing the geographical location corresponding to the fault node;

[0157] S14, displaying the received power data, prediction results, fault nodes and geographical locations corresponding to the fault nodes through the monitoring terminal;

[0158] In this embodiment, step S2 performs operation and maintenance coordination according to the result of data processing, including:

[0159] When a fault is predicted in the data processing step, the faulty node and the geographical location corresponding to the faulty node are sent to the operation and maintenance terminal to notify the operation and maintenance personnel to perform maintenance;

[0160] Based on the geographical location of the faulty node as the center of the circle, search for the nearest operation and maintenance terminal;

[0161] Obtain the location information and identity number information of the operation and maintenance terminal in the nearest range;

[0162] Notify the designated operation and maintenance personnel to rush to the geographical location corresponding to the faulty node according to the identity number information of the operation and maintenance terminal;

[0163] Obtain the traffic mobility resources configured for operation and maintenance personnel;

[0164] A maintenance route is generated based on the location information of the operation and maintenance personnel and the geographical location corresponding to the faulty node, and the optimal maintenance route is selected based on the traffic mobility resources configured for the operation and maintenance personnel.

[0165] In this embodiment, step S3 performs inspection management according to the result of operation and maintenance coordination, including:

[0166] Arrange inspection routes for designated operation and maintenance personnel, and obtain real-time location information of operation and maintenance personnel through operation and maintenance terminals;

[0167] Analyze and determine whether the real-time location information of the operation and maintenance personnel remains on the inspection route in real time;

[0168] When the inspection comparison module determines that the operation and maintenance personnel have deviated from the inspection route, a warning message is sent to the operation and maintenance terminal of the operation and maintenance personnel;

[0169] Obtain the inspection routes of operation and maintenance personnel and analyze the starting and ending points of the inspection routes;

[0170] After receiving the clock-in information for the first or second time, the location information of the operation and maintenance personnel is obtained and compared with the starting point or end point of the inspection route. If the comparison is successful, the clock-in is successful.

[0171] The intelligent monitoring method for transmission lines based on the power Internet of Things provided in this embodiment can sense whether power equipment has failed and detect operating fluctuations of power equipment during operation through intelligent monitoring of transmission lines, thereby realizing intelligent early warning of equipment operation risks that may exist in the intelligent monitoring of transmission lines, thereby avoiding the problem of the overall operation of transmission lines or power systems being affected. It solves the problem that the existing power system is unable to grasp and track the working dynamics of various power operation and maintenance work in a timely and fast manner and respond quickly to emergencies.

[0172] Example 3

[0173] This embodiment provides an application of a power transmission line intelligent monitoring system based on the power Internet of Things, using the power transmission line intelligent monitoring system and method based on the power Internet of Things of Embodiment 1 and Embodiment 2, such as Figure 8 As shown, the specific application process includes the following steps:

[0174] S201. Establish a comprehensive micro-meteorological disaster monitoring system for transmission lines;

[0175] S202. Build a detection system based on the Internet of Things;

[0176] S203. Build an intelligent monitoring system for power transmission lines in the ubiquitous power Internet of Things;

[0177] S204, constructing a visual monitoring management interface;

[0178] S205. Establish a forecasting and early warning system;

[0179] Specifically, step S201, establishing a comprehensive micro-meteorological disaster monitoring system for transmission lines, includes:

[0180] a. Use fiber optic sensing technology and electric field simulation analysis to establish a porcelain insulator degradation detection system.

[0181] b. Install stress terminal IoT sensors on transmission lines at key nodes to monitor and analyze conductor stress, icing, conductor dancing, ground sag, etc., to ensure the safety of tower lines.

[0182] c. Install inclination IoT terminals on pole towers in special geological environments, realize accurate monitoring of these pole towers on the full-life monitoring platform, and establish practical measurement of ground resistance.

[0183] Step S202: constructing a detection system based on the Internet of Things, including:

[0184] d. Use wind energy, solar energy and strong electric fields in high-voltage electric field environments on transmission towers to power sensor terminals.

[0185] e. Establish anti-interference devices and micro-meteorological sensor terminals to reduce the interference of high-voltage electric fields on the operation of electrical signal sensors. At the same time, it can complete the monitoring of meteorological parameters that are more harmful to transmission lines, such as temperature, humidity, wind force, wind direction, air pressure, rainfall, snowfall, lightning, etc., and select appropriate high-precision sensors to warn of the inclination of towers.

[0186] f. Integrate IoT communication, sensing and power supply so that the detection system can operate reliably with a simple structure, collectively referred to as the sensor terminal of the detection system, such as sensor 1, sensor 2...sensor n.

[0187] Step S203: Building a transmission line intelligent monitoring system of the ubiquitous power Internet of Things, including:

[0188] g. Use the sensor terminals of the detection system, such as sensor 1, sensor 2, ... sensor n, etc., to collect the operating status data of the high-voltage transmission equipment during operation, such as micro-meteorology, conductor stress, tower inclination, grounding resistance, insulator string point distribution and other information;

[0189] h. The collected data is aggregated through an IoT communication / transmission module, such as a wireless local area network, and then sent to a ubiquitous power IoT server through an IoT communication / transmission module, such as a public wireless network.

[0190] Step S204: constructing a visual monitoring management interface, including:

[0191] i. Build a three-dimensional component model library containing various types of towers, conductors, and insulators on the ubiquitous power Internet of Things server.

[0192] j. Develop an insulator monitoring and management interface based on a three-dimensional virtual engine. In this interface, the three-dimensional working status of the insulator can be set by using the tower, insulator and conductor model library and combining the tower geographic information.

[0193] k. Each test data of the insulator is uploaded to the database and the early warning information after being judged by the evaluation system can be intuitively reflected on the management interface.

[0194] 1. Using the three-dimensional images generated at the power transmission and transformation site, the management interface also allows operation and maintenance personnel to immersively view the three-dimensional scenes of the operation and maintenance site.

[0195] Step S205: Establishing a prediction and early warning system, including:

[0196] m. Establish a transmission line early warning evaluation system based on the decision tree algorithm on the ubiquitous power Internet of Things server, and program the evaluation model to train the evaluation model with historical detection sample data so that it has the ability to warn of new detection data.

[0197] n. Based on the icing prediction model corresponding to different icing period segments, short-term prediction of icing values ​​can be achieved.

[0198] o. The minimum air gap distance modeling and prediction method based on the Grey Model can realize the prediction and early warning of vibration disasters.

[0199] p. Aiming at the micro-topography and micro-meteorology of a province or city's power grid, a model of a prediction and early warning system applicable to the entire province or city's power micro-meteorological disasters is established, and the early warning classification criteria and strategies for power micro-meteorological disasters are proposed to provide specifications for the monitoring and early warning of power grid micro-meteorological disasters.

[0200] q. Propose theories and methods for applying macro-meteorological data to the monitoring and early warning of micro-meteorological disasters in power grids, and establish a new micro-meteorological monitoring and early warning system and implementation strategy that combines micro-meteorological Internet of Things sensor monitoring methods with meteorological station data.

[0201] r. Propose the layout principles of power micro-meteorological monitoring sensor equipment based on the ubiquitous power Internet of Things. Plan to install about 60 sets of monitoring equipment on-site in typical micro-meteorological areas of provinces and cities. Combine the micro-meteorological Internet of Things sensor monitoring with meteorological station data to establish a micro-meteorological disaster monitoring network system covering the entire province and city, and realize real-time monitoring and early warning of typical micro-meteorological disasters.

[0202] Furthermore, the sensors of the detection system can be intelligent sensor terminals, which can enter the network layer through relays, that is, the network layer, platform layer and business layer can be connected through the power Internet of Things. As the basic part of the entire system, the detection system is the nerve endings and source of basic data of the ubiquitous power Internet of Things. The sensors of the detection system can be Internet of Things sensors, which can use big data storage and processing to achieve rapid storage and processing of large amounts of data.

[0203] The detection system based on the Internet of Things in this embodiment may include a main device and sub-devices. For example, the main device and the sub-devices form a microgrid using zigbee / LoRa wireless technology at the front end. The collected operating status data is aggregated to the main device through the microgrid. The main device uses the MQTT protocol to "publish" the data to the ubiquitous power Internet of Things server through the GPRS network. The data analysis and management system of the ubiquitous power Internet of Things server is responsible for processing the data.

[0204] The ubiquitous power Internet of Things server can also complete data storage, data collection, data analysis and early warning, and data monitoring. Different users can use terminal devices on different platforms to realize data viewing, data statistics charts, GIS information, data early warning, coordination, management and other monitoring and operation and maintenance functions.

[0205] The evaluation model of the prediction and early warning system can have machine learning capabilities, and its accuracy increases with the number of samples used; the early warning evaluation system and the detection sample database can be stored in the ubiquitous power Internet of Things server or related network server to facilitate the improvement and upgrading of the evaluation algorithm.

[0206] This embodiment, through the application of the intelligent monitoring system for power transmission lines based on the ubiquitous power Internet of Things, can not only enable the intelligent monitoring of transmission lines to monitor power equipment, sense whether power equipment has failed, detect the operating fluctuations of power equipment during operation, and make intelligent early warnings for possible equipment operation risks in the intelligent monitoring of transmission lines in advance, so as to avoid the problem that the overall operation of the transmission line or the power system is affected due to the failure of some power equipment; it can also solve the problems of the inability to grasp and track the working dynamics of various power operation and maintenance work in the existing power system in a timely and fast manner and respond quickly to emergencies, and also solve the problems of lack of systematicity in the early warning of micro-meteorological disasters on transmission lines, small monitoring range, and limited work under disaster conditions.

[0207] The embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown 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 solution of this embodiment. Those of ordinary skill in the art may understand and implement it without creative effort.

[0208] 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.

[0209] The description and application of the present invention here are illustrative, and it is not intended to limit the scope of the present invention to the above-mentioned embodiments. The effects or advantages involved in the embodiments may not be embodied in the embodiments due to interference from various factors, and the description of the effects or advantages is not used to limit the embodiments. The deformation and change of the embodiments disclosed here are possible, and the replacement of the embodiments and the various equivalent parts are well known to those of ordinary skill in the art. It should be clear to those skilled in the art that the present invention can be implemented in other forms, structures, arrangements, proportions, and with other components, materials and parts without departing from the spirit or essential features of the present invention. Other deformations and changes can be made to the embodiments disclosed here without departing from the scope and spirit of the present invention.

[0210] In addition, it should be noted that if the present solution adopts descriptions such as module, component, part or component, it should be understood in a broad sense in conjunction with the context, and may be hardware, software, or a functional part that is a combination or association of hardware and software; if descriptions such as connection, electrical connection, electrical connection, transmission, interaction, etc. are adopted, they should also be understood in a broad sense in conjunction with the context, and may be a physical direct connection or indirect connection, a signal or electrical direct connection or indirect connection, or a direct or indirect connection that is a combination or association of physical and electrical signals; if information, data or information data are used to describe digital signals, these descriptions may be understood as having the same meaning and should be understood in conjunction with the context. They are also overviews or abstractions for the purpose of concise, complete and comprehensive descriptions, and should not be understood as restrictive to the present solution.

[0211] 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. An intelligent monitoring system for power transmission lines based on the power Internet of Things, characterized in that: include: An electric power Internet of Things server, a detection system and an Internet of Things communication / transmission module, wherein the electric power Internet of Things server is electrically connected to the detection system via the Internet of Things communication / transmission module; The power Internet of Things server is used to monitor the operating data of the power equipment of the power Internet of Things connected to the power transmission line; The detection system comprises a detection device, and the detection device is applied one by one to the power equipment to detect and collect the operation data of the power equipment in real time; The IoT communication / transmission module is used to establish a communication connection between the detection system and the power IoT server; Wherein, the power Internet of Things server includes: a power equipment standard establishment unit and an operation analysis unit; The electric power equipment standard establishing unit is used to construct a standardized operation matrix corresponding to the electric power equipment one by one; The operation analysis unit is used to determine whether the power equipment is in a normal operating state based on the operation data and the standardized operation matrix; The operation analysis unit includes: a setting subunit, a preprocessing subunit, a deviation calculation subunit, a fitting subunit and a state determination subunit.

2. The intelligent monitoring system for power transmission lines based on the power Internet of Things according to claim 1 is characterized in that: It also includes operation and maintenance terminals and monitoring terminals; The operation and maintenance terminal and the monitoring terminal are electrically connected to the power Internet of Things server through the Internet of Things communication / transmission module; The setting subunit is used to set the monitoring and analysis cycle; The pre-processing sub-unit is used to classify the operation data collected during the monitoring and analysis period according to the working status; The deviation calculation subunit is used to calculate the operation deviation rate of the operation data collected during the monitoring and analysis period; The fitting subunit is used to calculate the fitting index between the operation deviation rate of the operation data collected during the monitoring and analysis period and the standardized operation matrix; The state determination subunit is used to determine whether the fitting index is greater than a preset fitting value; The detection system is also used to collect power data; The Internet of Things communication / transmission module is used to transmit the collected power data to the power Internet of Things server.

3. The intelligent monitoring system for power transmission lines based on the power Internet of Things according to claim 2 is characterized in that: The monitoring terminal includes: a main display screen and a control terminal; The main display screen is used to display data, charts or curves; The control terminal is communicatively connected with the power Internet of Things server; The operation and maintenance terminal includes: a positioning module and a communication module; The positioning module is used to obtain the location information of the operation and maintenance personnel; The communication module is used for remote communication connection with the power Internet of Things server; The power Internet of Things server also includes: a data processing unit and an operation and maintenance coordination unit; The data processing unit includes: a data receiving module, a data processing module and a data display module; The data receiving module is used to receive the power data collected by the detection system through the Internet of Things communication / transmission module; The data processing module is used to compare the collected power data with a preset fault data model, obtain a prediction result matching the fault model, predict the fault node corresponding to the prediction result, and analyze the geographical location corresponding to the fault node; The data display module is used to display the received power data, prediction results, fault nodes and geographical locations corresponding to the fault nodes through the monitoring terminal; The operation and maintenance coordination unit is used to send the faulty node and the geographical location corresponding to the faulty node to the operation and maintenance terminal to notify the operation and maintenance personnel to perform maintenance when the data processing module predicts that there is a fault; The power data includes operation and status parameters of the power transmission line and its power equipment and on-site environmental parameters.

4. The intelligent monitoring system for power transmission lines based on the power Internet of Things according to claim 3 is characterized in that: The operation and maintenance terminal also includes an inspection and clocking-in module; The inspection punch-in module is used to send punch-in information to the power Internet of Things server before the inspection starts, and to start the positioning module after sending the punch-in information; The inspection punch-in module is also used to send punch-in information to the power Internet of Things server after the inspection is completed, and turn off the positioning module after sending the punch-in information; The operation and maintenance coordination unit includes: an operation and maintenance personnel search module, a location acquisition module, a traffic resource acquisition module and a route planning module; The operation and maintenance personnel search module is used to search for the operation and maintenance terminal based on the geographical location corresponding to the fault node as the center of the circle; The location acquisition module is used to obtain the location information and identity number information of the operation and maintenance terminal; The traffic resource acquisition module is used to acquire the traffic mobility resources configured for the operation and maintenance personnel; The route planning module is used to generate a maintenance route according to the location information of the operation and maintenance personnel and the geographical location corresponding to the fault node, and select the maintenance route according to the traffic mobile resources configured for the operation and maintenance personnel.

5. The intelligent monitoring system for power transmission lines based on the power Internet of Things according to claim 4 is characterized in that: The power Internet of Things server also includes a patrol management unit, which includes: a patrol module, a patrol comparison module, a route analysis module and a patrol check-in module; The inspection module is used to arrange the inspection route of the designated operation and maintenance personnel and obtain the real-time location information of the operation and maintenance personnel through the operation and maintenance terminal; The inspection comparison module is used to analyze and determine whether the real-time location information of the operation and maintenance personnel remains on the inspection route in real time; The route analysis module is used to obtain the inspection route of the operation and maintenance personnel and analyze the starting point and end point of the inspection route; The inspection check-in module is used to obtain the location information of the operation and maintenance personnel after receiving the punch-in information for the first time and compare it with the starting point of the inspection route. If the comparison is successful, the punch-in is successful.

6. A method for intelligent monitoring of power transmission lines based on power Internet of Things, applied to the intelligent monitoring system for power transmission lines based on power Internet of Things according to any one of claims 1 to 5, characterized in that: The following steps are involved: Processing the received power equipment detection data; Coordinate operation and maintenance based on the results of data processing; Conduct inspection management based on the results of operation and maintenance coordination; The step of processing the received power equipment detection data includes: Constructing a standardized operation matrix corresponding to the power equipment one by one; The operation deviation rate of the operation data collected during the monitoring and analysis period is calculated.

7. The method for intelligent monitoring of power transmission lines based on the power Internet of Things according to claim 6 is characterized in that: The step of constructing a standardized operation matrix corresponding to each of the power devices comprises: Obtaining the working status of the electric equipment; Acquiring historical operation data of the working status of the electric power equipment; Based on historical operation data, calculate the historical operation deviation rate; Eliminate abnormal data in the historical operation deviation rate to obtain the standard historical operation deviation rate; The standard historical operation deviation rate is averaged to obtain the standardized operation deviation rate under the current working state; Obtain the standardized operation deviation rate under the current working state and form a standardized operation matrix; By analyzing the standardized operation matrix, a standardized operation deviation rate of the power equipment is obtained; The calculating the operation deviation rate of the operation data collected during the monitoring and analysis period includes: Obtaining preset operating data of the electric power equipment within a monitoring and analysis period; Fitting a time-dependent function of the operating value of the power equipment based on the operating data collected during the monitoring and analysis period; Based on the time-varying function of the operating value of the electric power equipment and the preset operating data of the electric power equipment within the monitoring and analysis period, the time-varying function of the operating deviation rate is calculated by a deviation rate calculation formula; The variation function of the running deviation rate of the running data within the detection period with respect to time is formed into a deviation rate matrix.

8. The method for intelligent monitoring of power transmission lines based on the power Internet of Things according to claim 6 is characterized in that: The step of processing the received power equipment detection data comprises: Receive power data collected by the detection system through the Internet of Things communication / transmission module; Compare the collected power data with the preset fault data model, obtain the prediction results that match the fault model, predict the fault nodes corresponding to the prediction results, and analyze the geographical locations corresponding to the fault nodes; The received power data, prediction results, fault nodes and the geographical locations corresponding to the fault nodes are displayed through the monitoring terminal.

9. The method for intelligent monitoring of power transmission lines based on the power Internet of Things according to any one of claims 7 or 8, characterized in that: The operation and maintenance coordination according to the data processing results includes: Send the faulty node and its corresponding geographical location to the operation and maintenance terminal to notify the operation and maintenance personnel to perform maintenance; Search for the operation and maintenance terminal based on the geographical location corresponding to the faulty node as the center of the circle; Obtain the location information and identity number information of the operation and maintenance terminal; Notify the designated operation and maintenance personnel to rush to the geographical location corresponding to the faulty node according to the identity number information of the operation and maintenance terminal; Obtain the traffic mobility resources configured for operation and maintenance personnel; Generate a maintenance route based on the location information of the operation and maintenance personnel and the geographical location corresponding to the faulty node, and select the maintenance route based on the traffic mobility resources configured for the operation and maintenance personnel; The inspection management is carried out according to the results of operation and maintenance coordination, including: Arrange inspection routes for designated operation and maintenance personnel, and obtain real-time location information of operation and maintenance personnel through operation and maintenance terminals; Analyze and determine whether the real-time location information of the operation and maintenance personnel remains on the inspection route in real time; When the analysis determines that the operation and maintenance personnel have deviated from the inspection route, a warning message is sent to the operation and maintenance terminal of the operation and maintenance personnel; Obtain the inspection routes of operation and maintenance personnel and analyze the starting and ending points of the inspection routes; The location information of the operation and maintenance personnel is obtained and compared with the starting point or end point of the inspection route. If the comparison is successful, the clock-in is successful.

10. An application of a power transmission line intelligent monitoring system based on the power Internet of Things, using the power transmission line intelligent monitoring system based on the power Internet of Things as described in any one of claims 1 to 5 to perform intelligent monitoring of the transmission line, the application process comprising: Establish a comprehensive micro-meteorological disaster monitoring system for power transmission lines; Build a detection system based on the Internet of Things; Build an intelligent monitoring system for power transmission lines in the ubiquitous power Internet of Things; Build a visual monitoring and management interface; Establish a forecasting and early warning system.

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