CN112261510A - Transmission tower gradient monitoring, early warning and management system based on LPWAN technology - Google Patents

Transmission tower gradient monitoring, early warning and management system based on LPWAN technology Download PDF

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Publication number
CN112261510A
CN112261510A CN202011049334.XA CN202011049334A CN112261510A CN 112261510 A CN112261510 A CN 112261510A CN 202011049334 A CN202011049334 A CN 202011049334A CN 112261510 A CN112261510 A CN 112261510A
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China
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unit
data
transmission tower
inclination
wireless communication
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Inventor
宋伟先
周琳
董文斌
蒋超
张喜海
张雅倩
王浩
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Northeast Agricultural University
CERNET Corp
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Northeast Agricultural University
CERNET Corp
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Priority to CN202011049334.XA priority Critical patent/CN112261510A/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04QSELECTING
    • H04Q9/00Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B25/00Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
    • G08B25/01Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
    • G08B25/08Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
    • GPHYSICS
    • G08SIGNALLING
    • G08CTRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C17/00Arrangements for transmitting signals characterised by the use of a wireless electrical link
    • G08C17/02Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Telephonic Communication Services (AREA)
  • Selective Calling Equipment (AREA)
  • Arrangements For Transmission Of Measured Signals (AREA)

Abstract

A transmission tower inclination monitoring, early warning and management system based on an LPWAN (Long-distance wide area network) technology is used for solving the problem that the inclination change information of a transmission tower cannot be timely and accurately acquired due to the fact that the existing transmission tower inclination monitoring system cannot realize data communication with long distance, low power consumption and low cost. The system comprises a data acquisition unit, a sub-controller unit, a wireless communication unit A, a main controller unit, a wireless communication unit B, a server unit, an observation unit and an alarm unit; the wireless communication unit A adopts an LoRa communication module with low cost in LPWAN technology, the wireless communication unit B adopts a emerging NB-IoT communication module, the two communication means are combined, the equipment energy consumption and the communication cost are greatly reduced, and the inclination change information of the transmission tower is timely and accurately acquired through remote, low-power and low-cost data communication so as to realize effective monitoring and early warning on the inclination change of the transmission tower.

Description

Transmission tower gradient monitoring, early warning and management system based on LPWAN technology
Technical Field
The invention relates to the technical field of transmission equipment safety, in particular to a transmission tower inclination monitoring, early warning and managing system based on an LPWAN (Long-time programmable Gate array) technology.
Technical Field
The transmission tower plays a great role in supporting the transmission line and stably transmitting the electric power; due to the fact that the working condition is complex, the tower can generate inclination deformation based on various reasons when being used for a long time, the change of the inclination is found to be very helpful for stabilizing the tower at the first time and eliminating defects in time, and therefore accurate data of the change of the inclination can be obtained very necessarily in time and effectively. The existing transmission tower inclination monitoring system adopts wireless communication technologies such as GPRS, Bluetooth, WIFI, CDMA and OPGW to transmit data, and cannot realize data communication with long distance, low power consumption and low cost.
Disclosure of Invention
In view of the above problems, the invention is provided to solve the problem that the inclination change information of the transmission tower cannot be timely and accurately acquired due to the fact that the existing transmission tower inclination monitoring system cannot realize data communication with long distance, low power consumption and low cost.
A power transmission tower inclination monitoring, early warning and management system based on an LPWAN technology comprises a data acquisition unit, a sub-controller unit, a wireless communication unit A, a main controller unit, a wireless communication unit B, a cloud server unit, an observation unit and an alarm unit, wherein,
the data acquisition unit is used for acquiring the space attitude original data of the transmission tower, and outputting data information to the sub-controller unit or the main controller unit after fusion calculation; the number of the data acquisition units is one or more;
the sub-controller unit is used for receiving and processing the data information output by the data acquisition unit and transmitting the processed data information to the main controller unit through the wireless communication unit A; wherein the sub-controller units are one or more;
the wireless communication unit A is used for realizing multi-hop communication among a plurality of sub-controller units and between the sub-controller units and the main controller unit; wherein, the number of the wireless communication units A is one or more;
the main controller unit is used for receiving and processing the data information output by the data acquisition unit, receiving the data information transmitted by the sub-controller unit through the wireless communication unit A and transmitting the data information to the cloud server unit through the wireless communication unit B;
the wireless communication unit B is used for realizing communication between the main controller unit and the cloud server unit;
the cloud server unit is used for responding and processing various service requests of the observation unit, receiving, storing, analyzing and calculating the data information transmitted by the main controller unit, judging whether each transmission tower has an inclination trend or not through a preset threshold value, and judging that the inclination trend exists if the inclination trend exceeds the preset threshold value;
the observation unit is used for realizing visualization of attitude information of the transmission tower;
the alarm unit is used for giving an alarm when the data information exceeds a preset threshold value.
Further, the wireless communication unit a includes an LoRa communication module.
Further, the wireless communication unit B includes an NB-IoT communication module.
Furthermore, the system also comprises a power supply unit, wherein the power supply unit comprises a lithium battery and a solar panel and is used for supplying power to the sub-controller unit and the main controller unit; wherein, the power supply unit is one or more.
Further, the method of the LoRa communication module for implementing multi-hop communication between the sub-controller units and the main controller unit is to process received data by using a modified lru (least recent utilized) algorithm.
Further, the modified LRU (least utilized) algorithm is embodied by the steps of,
firstly, storing received data in a storage space;
then, reading an effective data frame in the data according to the data head and the data tail;
then, reading the data address and the target address of the effective data frame, and analyzing data information;
and finally, storing effective information in the data information in a buffer area, and waiting for the input of next data.
Further, the observation unit is a Web end or a mobile end.
Further, the sub-controller unit and the main controller unit are microcontrollers, and the model of the microcontroller is STM32F103ZET 6.
Further, the data acquisition unit comprises an attitude sensor, and the model of the attitude sensor is MPU 6050.
Furthermore, the sub-controller unit and the main controller unit process the data information by using a quaternion method to analyze the attitude data of the attitude sensor.
The transmission tower inclination monitoring system based on the LPWAN technology realizes integration of innovative functions of pre-inclination warning, multipoint communication, long-distance transmission, information real-time acquisition, low power consumption, mass data analysis and processing and the like of the transmission tower. The invention adopts a communication means combining an LoRa communication module with lower cost in LPWAN technology and a newly-developed NB-IoT communication module, wherein LoRa is an ultra-long distance wireless transmission technology based on spread spectrum technology, the single-point communication distance can reach 1 kilometer, the transmission distance is farther than other wireless communication modes under the same power consumption condition, and the transmission distance is enlarged by 3-5 times compared with the traditional wireless radio frequency communication distance, thereby realizing the unification of long distance, low power consumption and low cost; NB-IoT is an emerging technology in the IoT (Internet of things) field, supports cellular data connection of low-power consumption equipment in a wide area network, supports high-efficiency connection of equipment with long standby time and high requirement on network connection, and has a transmission distance of up to ten kilometers; the two communication means are combined, so that the equipment energy consumption and the communication cost are greatly reduced, and long-distance transmission and communication are realized; the working mode of 'short-time working + long-time standby' in the system of the invention achieves the purpose of low power consumption and long-time running while ensuring the completion of the transmission task of the system.
The early warning function before the transmission tower topples is realized. According to the invention, the attitude information of the transmission tower is monitored in real time by using the six-axis attitude sensor, observation personnel view the attitude data of the transmission tower through a Web end or a mobile end, can predict the inclination fault of the tower and combine the positioning function carried by the LoRa module, and inform a responsible person to a specified position to overhaul before an accident occurs, so that the function of early warning before inclination is realized, the workload of information acquisition by using manpower to patrol is greatly reduced, the fault loss of the transmission tower is reduced, and the efficiency and the reliability of information acquisition are improved.
The functions of self-supply of system energy and low-power-consumption operation are realized. The system adopts a power supply scheme combining a solar panel and a lithium battery, the power of the system is supplied by the aid of solar radiation light of a region, and the built-in lithium battery provides another layer of powerful guarantee for the power supply of the system.
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The invention may be better understood by referring to the following description in conjunction with the accompanying drawings, in which like reference numerals are used throughout the figures to indicate like or similar parts. The accompanying drawings, which are incorporated in and form a part of this specification, illustrate preferred embodiments of the present invention and, together with the detailed description, serve to further explain the principles and advantages of the invention.
Fig. 1 shows a schematic structural diagram of a transmission tower inclination monitoring, early warning and managing system based on LPWAN technology according to an embodiment of the present invention;
fig. 2 shows a communication schematic diagram of a transmission tower inclination monitoring, early warning and managing system based on LPWAN technology according to an embodiment of the present invention;
fig. 3 is a schematic view showing a sub-node composition of a transmission tower inclination monitoring, early warning and managing system based on LPWAN technology according to an embodiment of the present invention;
fig. 4 shows a flow chart of a main program of a sub-node of a transmission tower inclination monitoring, early warning and managing system based on LPWAN technology according to an embodiment of the present invention;
fig. 5 is a schematic diagram illustrating an operation of an LRU algorithm for improving the application of a transmission tower inclination monitoring, early warning and managing system based on LPWAN technology according to an embodiment of the present invention;
fig. 6 is a schematic diagram illustrating a main node of a transmission tower inclination monitoring, early warning and managing system based on LPWAN technology according to an embodiment of the present invention;
fig. 7 shows a main node main program flowchart of a transmission tower inclination monitoring, early warning and management system based on LPWAN technology according to an embodiment of the present invention.
Skilled artisans appreciate that elements in the figures are illustrated for simplicity and clarity and have not necessarily been drawn to scale. For example, the dimensions of some of the elements in the figures may be exaggerated relative to other elements to help improve the understanding of the embodiments of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described hereinafter with reference to the accompanying drawings. In the interest of clarity and conciseness, not all features of an actual implementation are described in the specification. It will of course be appreciated that in the development of any such actual embodiment, numerous implementation-specific decisions must be made to achieve the developers' specific goals, such as compliance with system-related and business-related constraints, which will vary from one implementation to another. Moreover, it will be appreciated that such a development effort might be complex and time-consuming, but would nevertheless be a routine undertaking for those of ordinary skill in the art having the benefit of this disclosure. It should be noted that, in order to avoid obscuring the present invention with unnecessary details, only the device structures and/or processing steps closely related to the solution according to the present invention are shown in the drawings, and other details not so relevant to the present invention are omitted.
The invention provides a transmission tower inclination monitoring, early warning and managing system based on an LPWAN (Long-distance wide area network) technology, which is used for solving the problems that the existing transmission tower inclination monitoring system consumes a large amount of manpower, is long in routing inspection period, large in measurement error and high in cost and is not beneficial to large-scale expansion. Fig. 1 shows a schematic structural diagram of a power transmission tower inclination monitoring, early warning and managing system based on an LPWAN technology according to an embodiment of the present invention, and as shown in fig. 1, the power transmission tower inclination monitoring, early warning and managing system based on the LPWAN technology according to the present invention includes a data acquisition unit 110, a sub-controller unit 120, a wireless communication unit a130, a main controller unit 140, a wireless communication unit B150, a cloud server unit 160, an observation unit 170, and an alarm unit 180;
the data acquisition unit 110 is configured to acquire the spatial attitude original data of the transmission tower, and output data information to the sub-controller unit 120 or the main controller unit 140 after fusion calculation;
the sub-controller unit 120 is configured to receive and process the data information output by the data acquisition unit 110, and transmit the processed data information to the main controller unit 140 through the wireless communication unit a 130;
according to an embodiment of the present invention, the data acquisition unit 110 includes an attitude sensor, which is of the type MPU 6050; after acquiring the space attitude original data of the transmission tower, the attitude sensor outputs fusion calculation data in a format of 6-axis or 9-axis rotation matrix, quaternion and Euler angle of the transmission tower in a digital form, and can remove the inter-axis sensitivity of a 3-axis angular velocity sensor and a 3-axis accelerometer arranged in the attitude sensor so as to reduce the drift of the sensor; the attitude sensor utilizes a motion engine DMP in the attitude sensor to carry out attitude calculation, the load of motion processing operation on an operating system is reduced, and the DMP can convert original angular velocity data into quadruple data.
According to an embodiment of the present invention, the sub-controller unit 120 is a microcontroller, of the type STM32F103ZET 6; the attitude sensor is connected with the microcontroller through an I2C bus; the microcontroller realizes the attitude data analysis of the attitude sensor by utilizing a quaternion method, the skew error is zero, the scale error derivation is simpler, the calculated amount is smaller than that of other modes, the precision is higher, the singularity can be effectively avoided, and the calculation of the attitude angle is further completed.
According to an embodiment of the present invention, the system comprises a plurality of data acquisition units 110 and a plurality of sub-controller units 120.
The wireless communication unit a130 is used to implement multi-hop communication between a plurality of sub-controller units 120 and between a sub-controller unit 120 and a main controller unit 140; the wireless communication unit a130 is an LoRa communication module, and the LoRa communication module is one or more.
The sub-controller units 120 realize a multi-hop networking function through the LoRa communication technology, so as to relay data and share sensing networks, thereby widening the coverage range and increasing the transmission distance.
The main controller unit 140 is configured to receive and process the data information output by the data acquisition unit 110, and simultaneously receive the data information transmitted by the sub-controller unit 120 through the wireless communication unit a130 and transmit the data information to the cloud server unit 160 through the wireless communication unit B150.
According to an embodiment of the present invention, master controller unit 140 is a microcontroller, model number STM32F103ZET 6. The main controller unit 140 receives and processes the data information output by the data acquisition unit 110 in the same manner as the sub-controller unit 120, which is not described herein again. The microcontroller serves as a control center to uniformly analyze, allocate and process the work of each external device, and the functions of receiving data acquired by the attitude sensor, controlling the communication among the nodes, communicating the wireless communication unit B150 with the cloud server unit 160 and the like are realized.
The wireless communication unit B150 is used to implement communication between the main controller unit 140 and the cloud server unit 160; the wireless communication unit B150 is an NB-IoT communication module.
The cloud server unit 160 is configured to respond to and process various service requests of the observation unit 170, receive, store, analyze, and calculate data information transmitted by the main controller unit 140, determine whether each power transmission tower has an inclination trend according to a preset threshold, and determine that there is an inclination trend if the preset threshold is exceeded.
The observation unit 170 is configured to realize visualization of tower posture information. According to the embodiment of the invention, the observation unit is a Web end or a mobile end, and managers can check the acquired information in real time through the Web end or the mobile end to realize the information monitoring function.
The alarm unit 180 is configured to alarm when the data information exceeds a preset threshold.
Further, the system further comprises a power supply unit 190, the power supply unit 190 comprising a lithium battery and a solar panel for supplying power to the sub-controller unit 120 and the main controller unit 140.
According to the embodiment of the invention, the lithium battery is used as a standby power supply, the solar panel converts solar radiation into electric energy used by the node, and the electric energy is used as a main electric power support module and is supplied to the node terminal by combining with the lithium battery; each sub-controller unit 120 is provided with a power supply unit 190, and the main controller unit 140 is provided with a power supply unit 190.
The invention is explained by adopting the combination of an LoRa communication module and an NB-IoT communication module in LPWAN technology to realize long-distance transmission and communication according to a specific embodiment, according to the embodiment of the invention, each transmission tower is provided with an attitude sensor, the attitude sensor and the microcontroller are connected with a microcontroller STM32F103ZET6 through an I2C bus, data transmission is realized by means of the LoRa communication technology and the NB-IoT communication technology, the attitude sensor and the microcontroller arranged on each transmission tower are used as a child node, and the child nodes realize a multi-hop networking function through the LoRa communication technology to carry out data relay and sensing internetwork sharing, so that the coverage is wider and the transmission distance is farther. And a master node, namely an LoRa-NB-IoT gateway based on a microcontroller STM32F103ZET6, is arranged at the end of the network, and finally data information acquired by the attitude sensor is transmitted to the master node. The main node utilizes the long-distance transmission advantage of NB-IoT communication technology to transmit data to the remote data management platform. A manager can check the acquired information in real time through a Web end or a mobile end, and when the acquired information exceeds a threshold value, the system can give an alarm in time to ensure the real-time effectiveness of the information, so that the information monitoring function is realized, and fig. 2 shows a communication schematic diagram of a power transmission tower inclination monitoring, early warning and management system based on the LPWAN technology according to the embodiment of the invention.
Detailed description of the preferred embodiment
In terms of hardware design, each data acquisition unit 110, the sub-controller unit 120 and the wireless communication unit a130 are regarded as a sub-node, and each sub-node comprises an attitude sensor, a microcontroller, a LoRa communication module, an RS232/RS485 communication module, a lithium battery and a solar cell panel. Carry out the communication of jumping many between each sub-node through loRa communication module, loRa communication module includes 3.3V DC power supply, power indicator, TTL serial communication, mode control and communication indicator, is connected through TXD and the RXD pin with MCU serial 2 and realizes TTL serial communication. Fig. 3 shows a schematic view of sub-node composition of a transmission tower inclination monitoring, early warning and management system based on LPWAN technology according to an embodiment of the present invention.
In the aspect of software design, the child nodes mainly achieve sensor information acquisition, information processing and communication. In order to reduce the power consumption of the node, the sub-nodes are designed to be in an intermittent working state, enter a dormant state after the data information is received, processed and transmitted, and are restored to the working state after a working instruction is received. Fig. 4 shows a flow chart of a main sub-node program of a transmission tower inclination monitoring, early warning and management system based on LPWAN technology according to an embodiment of the present invention.
As shown in fig. 4, after the system is initialized, whether the child node is in a working state is determined, if not, the power supply of the sensor is turned off, the LoRa module is put in a dormant state, and then a working instruction is waited; and if the module is in the working state, starting the attitude sensor to enable the microcontroller to receive and process the attitude sensor data, storing the data in a buffer area, and putting the LoRa module in the working state and transmitting the data according to a communication protocol.
The working mode of 'short-time working + long-time standby' ensures that the system can achieve the purpose of low-power consumption and long-time running while finishing transmission tasks.
In order to reduce the LoRa communication rate, increase the transmission power and meet the needs of large-scale and remote communication, a LoRa multi-hop communication program is added in the design of a sub-node, received data is processed by utilizing an improved LRU (least recent used) algorithm, the basic principle is that the received data is transmitted into a buffer with fixed space capacity once, and the principle that the data at the top of the buffer is latest and the data at the bottom of the buffer is earliest is always kept, when the space of the buffer is occupied by the uploaded data, the data at the bottommost of the buffer is replaced, and the processing steps are as follows: firstly, storing received data in a storage space; then, reading an effective data frame in the data according to the data head and the data tail; then, reading the data address and the target address of the effective data frame, and analyzing data information; and finally, storing effective information in the data information in a buffer area, and waiting for the input of next data. And after the algorithm processing is finished, modifying the target address in the sending buffer area and sending data.
The basic principle of the lru (least recent used) algorithm is to keep the space capacity of the buffer fixed, store the incoming data in the buffer in turn, and always store the newest data at the top of the buffer and the oldest data at the bottom of the buffer. When new data is added but the buffer is full, the modified lru (least recent used) algorithm of the present invention is applied to replace the data at the bottom of the buffer, the new data is put on top, and the data processing of the last element is completed before the replacement.
In the invention, the main node and the sub-nodes can simultaneously receive data of a plurality of LoRa modules, so that the data is processed by adopting an improved LRU algorithm, the error rate of transmission can be effectively avoided, and a large amount of storage space is saved. As an example, fig. 5 shows a working diagram of an lru (least recent utilized) algorithm improved in application of a transmission tower inclination monitoring, early warning and management system based on LPWAN technology according to an embodiment of the present invention.
Detailed description of the invention
In terms of hardware design, the data acquisition unit 110, the main controller unit 140, the wireless communication unit a130 and the wireless communication unit B150 connected to the main controller unit 140 are regarded as a master node, and the master node includes an attitude sensor, a microcontroller, a LoRa communication module, an RS232/RS485 communication module, an NB-IoT communication module, a lithium battery and a solar cell panel. Under the control of the main control chip of the microcontroller STM32F103ZET6, the master node completes communication with each child node by using the LoRa communication module and completes communication with a remote server, namely the cloud server unit 160, by using the NB-IoT communication module. Fig. 6 shows a schematic diagram of a main node of a transmission tower inclination monitoring, early warning and management system based on LPWAN technology according to an embodiment of the present invention.
In the aspect of software design, a main node serves as an LoRa-NB-IoT gateway and actively collects data information uploaded by each sub-node and sends the data information to a remote server, wherein an LoRa module is always in a working state, after the LoRa module receives the data information uploaded by the sub-nodes, the data is processed according to an improved LRU (least recent utilized) algorithm, the processed data is temporarily stored in a transmission buffer area of the NB-IoT, an automatic dormancy function is built in the NB-IoT module, and when the NB-IoT is judged to be in an online state, the data in the buffer area is sent to the remote server. Fig. 7 shows a main node main program flowchart of a transmission tower inclination monitoring, early warning and management system based on LPWAN technology according to an embodiment of the present invention.
The remote server stores, analyzes and calculates data transmitted by the NB-IoT communication module, judges whether each transmission tower has an inclination trend or not through a threshold value, automatically activates an alarm function when the threshold value is exceeded, and informs corresponding managers to dispatch personnel for maintenance.
Detailed description of the preferred embodiment
Verifying the communication distance of point-to-point in a transmission tower inclination monitoring system, selecting two nodes 1 and 2 which are about 1km away from each other, wherein the nodes 1 and 2 both comprise an LoRa communication module, analyzing the data receiving condition of the nodes by fixing the nodes 1 and continuously moving the nodes 2, and an analysis result shows that the point-to-point communication distance of the LoRa can reach about 1km under a general environment.
Verify the multi-hop communication distance of node among the transmission tower gradient monitoring system, select subnode 1 and 2, subnode 1 and 2 all contain loRa communication module, and the master node contains loRa communication module and NB-IoT communication module. The child node 2 is used as a multi-hop node, the child node 2 is repeatedly tested and analyzed by continuously moving the child node 2, an analysis result shows that the multi-hop communication distance under the complex environment is about 1.6km, data communication can be realized among the child nodes through multi-hop communication, and the main node can accurately receive tower data information and upload the tower data information to a remote server.
According to the invention, the accuracy and the real-time performance of the monitoring, early warning and management system are verified, a manager can check the data information of the transmission tower in real time through the Web end and the mobile client, when the inclination angle of the transmission tower exceeds a threshold value, the cloud platform can send alarm information to the manager, and after the tower is recovered to be normal, the cloud platform can also send normal recovery information to the manager, so that the functions of monitoring and early warning before inclination are realized.
While the invention has been described with respect to a limited number of embodiments, those skilled in the art, having benefit of this description, will appreciate that other embodiments can be devised which do not depart from the scope of the invention as described herein. Furthermore, it should be noted that the language used in the specification has been principally selected for readability and instructional purposes, and may not have been selected to delineate or circumscribe the inventive subject matter. Accordingly, many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the appended claims. The present invention has been disclosed in an illustrative rather than a restrictive sense, and the scope of the present invention is defined by the appended claims.

Claims (9)

1. A transmission tower inclination monitoring, early warning and management system based on an LPWAN technology is characterized by comprising,
a data acquisition unit, a sub-controller unit, a wireless communication unit A, a main controller unit, a wireless communication unit B, a cloud server unit, an observation unit and an alarm unit,
the data acquisition unit is used for acquiring the space attitude original data of the transmission tower, and outputting data information to the sub-controller unit or the main controller unit after fusion calculation; the number of the data acquisition units is one or more;
the sub-controller unit is used for receiving and processing the data information output by the data acquisition unit and transmitting the processed data information to the main controller unit through the wireless communication unit A; wherein the sub-controller units are one or more;
the wireless communication unit A is used for realizing multi-hop communication among a plurality of sub-controller units and between the sub-controller units and the main controller unit; wherein, the number of the wireless communication units A is one or more;
the main controller unit is used for receiving and processing the data information output by the data acquisition unit, receiving the data information transmitted by the sub-controller unit through the wireless communication unit A and transmitting the data information to the cloud server unit through the wireless communication unit B;
the wireless communication unit B is used for realizing communication between the main controller unit and the cloud server unit;
the cloud server unit is used for responding and processing various service requests of the observation unit, receiving, storing, analyzing and calculating the data information transmitted by the main controller unit, judging whether each transmission tower has an inclination trend or not through a preset threshold value, and judging that the inclination trend exists if the inclination trend exceeds the preset threshold value;
the observation unit is used for realizing visualization of attitude information of the transmission tower;
the alarm unit is used for giving an alarm when the data information exceeds a preset threshold value.
2. The system for monitoring, early warning and managing inclination of transmission tower based on LPWAN technology as claimed in claim 1, wherein said wireless communication unit A comprises a LoRa communication module.
3. The system for monitoring, warning and managing the inclination of the transmission tower based on the LPWAN technology as claimed in claim 1, wherein the wireless communication unit B comprises an NB-IoT communication module.
4. The system for monitoring, early warning and managing the inclination of the transmission tower based on the LPWAN technology as claimed in claim 1, further comprising a power supply unit, wherein the power supply unit comprises a lithium battery and a solar panel and is used for supplying power to the sub-controller unit and the main controller unit; wherein, the power supply unit is one or more.
5. The system for monitoring, warning and managing the inclination of the transmission tower based on the LPWAN technology as claimed in claim 1, wherein the multi-hop communication method is to process the received data by using a modified LRU (least recent utilized) algorithm; the steps of the process are as follows,
firstly, storing received data in a storage space;
then, reading an effective data frame in the data according to the data head and the data tail;
then, reading the data address and the target address of the effective data frame, and analyzing data information;
and finally, storing effective information in the data information in a buffer area, and waiting for the input of next data.
6. The system for monitoring, warning and managing the inclination of the transmission tower based on the LPWAN technology as claimed in claim 1, wherein the observation unit is a Web end or a mobile end.
7. The system for monitoring, early warning and managing inclination of transmission tower based on LPWAN technology as claimed in claim 1, wherein said sub-controller unit and said main controller unit are microcontrollers, and said microcontroller is model STM32F103ZET 6.
8. The system for monitoring, early warning and managing the inclination of the transmission tower based on the LPWAN technology as claimed in claim 1, wherein the data acquisition unit comprises an attitude sensor, and the model of the attitude sensor is MPU 6050.
9. The system according to claim 8, wherein the sub-controller unit processes the data information by analyzing attitude data of the attitude sensor by using a quaternion method.
CN202011049334.XA 2020-09-29 2020-09-29 Transmission tower gradient monitoring, early warning and management system based on LPWAN technology Pending CN112261510A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113138570A (en) * 2021-04-02 2021-07-20 华南理工大学 Power transmission tower state monitoring device
CN113744511A (en) * 2021-10-27 2021-12-03 营口天成消防设备有限公司 Method for realizing wireless relay transmission and wireless fire alarm system
CN114719824A (en) * 2022-04-27 2022-07-08 国网湖南省电力有限公司 Tower inclination monitoring device and monitoring method

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108810136A (en) * 2018-06-08 2018-11-13 东北农业大学 A kind of communication means and communication equipment based on NB-IoT and LoRa
CN208254465U (en) * 2018-06-08 2018-12-18 北京鼎一致远科技发展有限公司 A kind of low-power consumption shaft tower tilt angle monitoring device based on NB-IoT network
CN109495859A (en) * 2018-10-18 2019-03-19 华东交通大学 A kind of pole tower health monitoring wireless sensor network merging 5G technology of Internet of things
CN111404274A (en) * 2020-04-29 2020-07-10 平顶山天安煤业股份有限公司 Online monitoring and early warning system for displacement of power transmission system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108810136A (en) * 2018-06-08 2018-11-13 东北农业大学 A kind of communication means and communication equipment based on NB-IoT and LoRa
CN208254465U (en) * 2018-06-08 2018-12-18 北京鼎一致远科技发展有限公司 A kind of low-power consumption shaft tower tilt angle monitoring device based on NB-IoT network
CN109495859A (en) * 2018-10-18 2019-03-19 华东交通大学 A kind of pole tower health monitoring wireless sensor network merging 5G technology of Internet of things
CN111404274A (en) * 2020-04-29 2020-07-10 平顶山天安煤业股份有限公司 Online monitoring and early warning system for displacement of power transmission system

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
刘鹏翔等: "基于ZigBee与GPRS的输电杆塔倾斜监测预警系统", 《电子制作》 *
杨飞虎等: "窄带通信技术在电力杆塔倾斜监测中的应用", 《农村电工》 *
陈普然: "物联网技术下的配电线路在线监测系统应用", 《农家参谋》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113138570A (en) * 2021-04-02 2021-07-20 华南理工大学 Power transmission tower state monitoring device
CN113744511A (en) * 2021-10-27 2021-12-03 营口天成消防设备有限公司 Method for realizing wireless relay transmission and wireless fire alarm system
CN114719824A (en) * 2022-04-27 2022-07-08 国网湖南省电力有限公司 Tower inclination monitoring device and monitoring method

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