CN118011269A - Beidou-based intelligent grounding wire system and method - Google Patents
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Abstract
The invention discloses an intelligent grounding wire system and method based on Beidou, and relates to the technical field of intelligent grounding wires, wherein the system comprises a deployment sensor and a sensor, wherein the deployment sensor is used for periodically acquiring environmental state data of the grounding wire; receiving and analyzing Beidou satellite signals, and calculating real-time coordinate positions of the grounding wires; analyzing environmental data and positioning information, evaluating insulation performance reduction risks, and connecting the real-time communication monitoring platform; testing the connection parameters of the grounding wire, diagnosing the fault type of the line, and outputting equipment ageing and maintenance suggestions; setting a risk level and an early warning threshold, and triggering an audible and visual alarm to notify related personnel when the risk index is detected to be out of limit. The invention is beneficial to quick repair and reduces the downtime; when an abnormal condition is detected, an alarm can be raised quickly, which helps take action in time, reducing potential losses and risks.
Description
Technical Field
The invention relates to the technical field of intelligent grounding wires, in particular to an intelligent grounding wire system and method based on Beidou.
Background
Conventional ground wire systems are mainly used to protect buildings and equipment from lightning and surge impacts. These systems typically include a ground wire made of conductive material that is connected to the ground through the ground in order to conduct the current to the ground, thereby preventing damage to equipment and structures. However, conventional ground wire systems have some problems: the traditional ground wire system generally lacks intelligent monitoring and remote communication functions, so that the traditional ground wire system cannot monitor the ground state and alarm system operators in real time; because the traditional ground wire system lacks a monitoring function, faults and damages are difficult to detect in time, and the damages to equipment or building structures can be caused; conventional ground wire systems often fail to provide accurate location information, which is important in some application scenarios.
Disclosure of Invention
The present invention has been made in view of the above-described problems occurring in the conventional ground wire system.
Accordingly, the problem addressed by the present invention is how to provide a method and system that is beneficial for identifying potential risks, quickly repairing problems, reducing downtime, and reducing potential losses and risks.
In order to solve the technical problems, the invention provides the following technical scheme:
In a first aspect, an embodiment of the present invention provides a method for intelligent ground wire based on beidou, which includes deploying a sensor, and periodically collecting environmental status data of the ground wire; receiving and analyzing Beidou satellite signals, and calculating real-time coordinate positions of the grounding wires; analyzing environmental data and positioning information, evaluating insulation performance reduction risks, and connecting the real-time communication monitoring platform; testing the connection parameters of the grounding wire, diagnosing the fault type of the line, and outputting equipment ageing and maintenance suggestions; setting a risk level and an early warning threshold, and triggering an audible and visual alarm to notify related personnel when the risk index is detected to be out of limit.
As a preferable scheme of the Beidou-based intelligent grounding wire method, the invention comprises the following steps: the method for receiving and analyzing the Beidou satellite signals and calculating the real-time coordinate position of the grounding wire comprises the following steps: the Beidou satellite navigation receiver is arranged at the local end of the grounding wire, and navigation signals transmitted by all Beidou satellites are received through an antenna; filtering, amplifying and down-converting the received analog signals, obtaining digitized signals through analog-to-digital conversion, separating different components of the signals, and demodulating to obtain navigation message data of the satellite; analyzing ephemeris and clock error parameters of each satellite from the navigation message, measuring the distance between the pseudo distance and the satellite and the receiver, determining the three-dimensional coordinates of the receiver by using a least square method, and outputting the longitude, latitude and altitude of the grounding wire in real time.
As a preferable scheme of the Beidou-based intelligent grounding wire method, the invention comprises the following steps: the method comprises the steps that the pseudo distance-distance from a satellite to a receiver is measured, the three-dimensional coordinate of the receiver is determined by using a least square method, wherein the three-dimensional coordinate comprises local reference time when the receiver generates distance measurement, satellite signal receiving time, and signal propagation time, namely pseudo range PR, is calculated; correcting the influence of satellite clock error on PR, and measuring PR for each visible satellite respectively; establishing equations between receiver coordinates (x, y, z) and all PR, forming an overdetermined equation set due to the existence of receiver clock differences, solving by using an iterative weighted least square algorithm, and iteratively optimizing the values of the receiver coordinates and the clock differences; the calculated three-dimensional coordinate value is obtained, the Cartesian coordinate is converted into the geodetic coordinate, the accurate longitude and latitude of the grounding wire at the current moment are output, and meanwhile, the altitude of the corresponding point is output.
As a preferable scheme of the Beidou-based intelligent grounding wire method, the invention comprises the following steps: the correction of the effect of satellite clock bias on PR comprises the following steps: establishing a satellite clock difference and pseudo-range mapping database; inputting the current satellite ID and the clock error value obtained by analysis; searching a history mapping relation through a database index; predicting a current optimal mapping function by using a neural network model; and correcting the pseudo-range value according to the function conversion result.
As a preferable scheme of the Beidou-based intelligent grounding wire method, the invention comprises the following steps: the real-time communication connection monitoring platform is used for analyzing environment data and positioning information and evaluating insulation performance reduction risks, and comprises the following steps of: accurately analyzing Beidou positioning coordinates and altitude information; comparing and analyzing the temperature and humidity data with the historical data; judging air pressure and environmental loss by combining altitude information, and establishing a model to evaluate the risk degree of insulation performance reduction; and if the risk degree exceeds the serious level, actively pushing early warning, and sending monitoring and risk data to the platform in real time through the 4G module.
As a preferable scheme of the Beidou-based intelligent grounding wire method, the invention comprises the following steps: the comparison analysis of the temperature and humidity data and the historical data comprises the following steps: collecting a large amount of historical temperature and humidity monitoring data, including data under different months, weather and altitudes; segmenting historical data according to months and weather, calculating standard deviation sigma of temperature and humidity in each segment, and taking 3 sigma as a normal fluctuation range; retrieving weather forecast information of the same day, and if extreme weather exists, expanding a fluctuation range; if the air is stable in the day, the original range is kept unchanged; and comparing the data monitored in real time with the historical contemporaneous segment, and calculating real-time fluctuation amplitude, namely delta T and delta H.
As a preferable scheme of the Beidou-based intelligent grounding wire method, the invention comprises the following steps: the setting of the risk level and the early warning threshold value comprises the steps of presetting a plurality of risk levels and respectively corresponding to different early warning threshold values; detecting a risk degree real-time curve, and immediately triggering an audible alarm and a field warning lamp to prompt when the risk degree real-time curve exceeds a corresponding early warning threshold value; and pushing an alarm prompt to a monitoring platform to inform relevant responsible persons.
In a second aspect, in order to further solve the problems existing in the conventional ground wire system, an embodiment of the present invention provides an intelligent ground wire system based on beidou, which includes: the system comprises a data acquisition module, a Beidou satellite positioning module, a real-time monitoring module, a diagnosis module and an alarm module; the data acquisition module is used for acquiring the environmental state data of the grounding wire; the Beidou satellite positioning module is used for receiving and processing positioning signal data from a Beidou satellite system and comprises a satellite signal receiving assembly and a data analyzing assembly; the real-time monitoring module is used for analyzing, monitoring and risk assessment of the acquired environmental state data and the positioning signal data and comprises a data analysis component, a risk assessment component and a real-time communication component; the diagnosis module is used for carrying out fault diagnosis on the ground wire and comprises a fault diagnosis component and a performance diagnosis component; the alarm module is used for giving an alarm when an abnormal situation occurs and notifying relevant personnel of the system; the data acquisition module periodically acquires environmental state data of the grounding wire, and the Beidou satellite positioning module continuously receives positioning signal data to determine the position of the grounding wire; the real-time monitoring module receives and analyzes data from the data acquisition module and the Beidou satellite positioning module, and monitors environmental conditions and evaluates risks; if the real-time monitoring module detects an abnormal condition, the alarm module is triggered to notify related personnel; the diagnostic module further analyzes the data to determine the cause of the problem and provides maintenance recommendations.
In a third aspect, embodiments of the present invention provide a computer apparatus comprising a memory and a processor, the memory storing a computer program, wherein: the computer program when executed by a processor implements any step of the intelligent ground wire method based on Beidou according to the first aspect of the present invention.
In a fourth aspect, embodiments of the present invention provide a computer-readable storage medium having a computer program stored thereon, wherein: the computer program when executed by a processor implements any step of the intelligent ground wire method based on Beidou according to the first aspect of the present invention.
The invention has the beneficial effects that the invention combines the environmental state data of the grounding wire with the positioning signal data for analysis and monitoring, is beneficial to identifying potential risks such as voltage fluctuation, short circuit, grounding wire abnormality and the like, and carrying out risk assessment, and is beneficial to preventing accidents and taking necessary maintenance measures in advance; when a problem is detected, the diagnosis module can further deeply analyze the nature of the problem and accurately determine the fault of the grounding wire or the position of the problem, which is helpful for quickly repairing the problem and reducing the downtime; when the system detects an abnormal condition, an alarm can be quickly raised, which helps take action in time, reducing potential losses and risks.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
fig. 1 is a block diagram of the intelligent ground wire system based on the beidou in embodiment 1.
Fig. 2 is a block diagram of the beidou satellite positioning module in embodiment 1.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present invention is not limited to the specific embodiments disclosed below.
Further, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic can be included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
Example 1
Referring to fig. 1 and fig. 2, in a first embodiment of the present invention, an intelligent ground wire system based on beidou is provided, and the system includes a data acquisition module, a beidou satellite positioning module, a real-time monitoring module, a diagnosis module and an alarm module.
The data acquisition module is used for acquiring the environmental state data of the grounding wire; wherein the environmental status data includes temperature, humidity, and current; the Beidou satellite positioning module is used for receiving and processing positioning signal data from a Beidou satellite system; the real-time monitoring module is used for analyzing, monitoring and risk assessment of the acquired environmental state data and the positioning signal data; the diagnosis module is used for carrying out fault diagnosis on the ground wire; the alarm module is used for giving an alarm when an abnormal situation occurs and notifying relevant personnel of the system.
The data acquisition module periodically acquires environmental state data of the grounding wire, and the Beidou satellite positioning module continuously receives positioning signal data from a Beidou satellite system so as to determine the position of the grounding wire; the real-time monitoring module receives and analyzes the data from the data acquisition module and the Beidou satellite positioning module, and monitors environmental conditions and evaluates risks; if the real-time monitoring module detects an abnormal condition, an alarm module is triggered to notify related personnel; the diagnostic module further analyzes the data to determine the cause of the problem and provides maintenance recommendations.
The Beidou satellite positioning module comprises a satellite signal receiving assembly and a data analysis assembly, wherein the satellite signal receiving assembly is used for acquiring signals from a Beidou satellite system so as to measure the propagation time and angle of satellite signals; the data analysis component is used for processing the received satellite signal data, preparing the data for position calculation, and ensuring the accuracy and the safety of the data.
Further, the data parsing component includes the following: receiving Beidou satellite signal data, and preprocessing the received original data, wherein the preprocessing comprises checksum error correction; decoding the satellite signal data into processable text or numerical data; after decoding, filtering and screening the data, and correcting the data; calculating accurate position and clock information of the satellite by using satellite ephemeris data; using the parsed satellite data and the location information of the receiving device, the location of the receiving device is calculated and accurate location information is generated.
Specifically, a receiving device of the ground wire system collects wireless signals from Beidou satellites, including GPS signals; performing a CRC check on the received data to detect and correct any erroneous or corrupted data in the transmission; the data is filtered and smoothed to remove noise and improve data quality, for example, a low pass filter may be applied to filter out high frequency noise.
According to the communication protocol of the Beidou satellite system, decoding the received binary signal data into readable text or numerical data, such as NMEA format data; the decoded data is decomposed into different fields, such as latitude, longitude, altitude, time, etc., according to the protocol format.
Outlier data points, such as outlier position coordinates or time stamps, are removed and the data is corrected to correct for possible bias or error, e.g., differential correction is performed to improve position accuracy.
Acquiring satellite ephemeris data, wherein the satellite ephemeris data comprise predicted orbit information and clock deviation data of each satellite; using the ephemeris data and the received satellite signal data, the exact position and clock information for each satellite is calculated.
Specifically, the accurate position of the ground wire system is calculated by using known Beidou satellite information and receiving equipment position information, wherein the accurate position comprises latitude, longitude, altitude and the like; the final location information is generated so that the system can use or display, for example, output in NMEA format.
In this embodiment, by performing checksum error correction on the received beidou satellite signal data, the system can detect and correct errors or damages possibly occurring in the data transmission process, so as to ensure the integrity and accuracy of the data, which is helpful for providing high-quality position information, and by filtering and smoothing processing, the system can remove noise, such as high-frequency noise, in the signal, so as to improve the data quality, which is helpful for accurately calculating the position of the receiving device, and avoid unnecessary errors.
The data analysis component is responsible for decoding the received binary signal data into readable text or numerical data, accords with the communication protocol of the Beidou satellite system, and is beneficial to the comprehensiveness of the system and the integration with other systems; the data parsing component also performs data screening and correction to reject outlier data points and correct possible deviations or errors, which helps ensure that the generated location information is reliable and accurate; by using satellite ephemeris data, the system can calculate the accurate position and clock information of the satellite, further improving the accuracy of position calculation, which helps to ensure that the provided position information has high reliability; finally, the data parsing component uses the parsed satellite data and the location information of the receiving device to calculate an accurate location of the receiving device, including latitude, longitude, altitude, etc., and then generates location information that is available to the system, which enables the system to provide accurate location information that is available for various applications, such as navigation, monitoring, and management.
The real-time monitoring module comprises a data analysis component, a risk assessment component and a real-time communication component.
The data analysis component is used for analyzing the acquired environmental state data and positioning signal data and generating an analysis report; the risk assessment component is used for assessing potential risks and threats through a risk assessment algorithm; the real-time communication component is used for ensuring the transmission and the reception of real-time data through communication protocols and technologies, so that the data interaction is realized.
Specifically, the risk assessment algorithm includes one or more of risk matrix analysis, failure mode and effect analysis, anomaly detection, and failure tree analysis.
The diagnosis module comprises a fault diagnosis component and a performance diagnosis component, wherein the fault diagnosis component is used for monitoring faults, fault reasons and influences of the faults of the grounding wire; the performance diagnostic component is used for monitoring system performance and timely identifying and solving performance problems.
The fault diagnosis component adopts one or more of an expert system, a neural network algorithm and a Bayesian network; methods employed by the performance diagnostic component include threshold detection and/or load testing.
The system also comprises a data encryption module, wherein the data encryption module is used for encrypting various data in the system through an asymmetric encryption algorithm and a hash algorithm, and protecting the safe transmission of the ground wire system data.
In the embodiment, the real-time monitoring module can perform real-time analysis on the environmental state data and the positioning signal data of the grounding wire by combining the data analysis component so as to generate an analysis report, which is helpful for timely knowing the working condition and environmental condition of the grounding wire and potential problems; the risk assessment component uses various risk assessment algorithms, such as risk matrix analysis, failure mode and effect analysis, anomaly detection, and fault tree analysis, to assess potential risks and threats, which helps to identify potential problems in advance, reducing system risk; the real-time communication component ensures real-time transmission and reception of data, so that the system can realize timely data interaction, which is important for monitoring and coping with emergency situations.
The diagnosis module comprises a fault diagnosis component and a performance diagnosis component, can monitor the fault, the fault cause and the influence of the fault of the grounding wire, and simultaneously monitor the performance of the system, thereby being beneficial to maintaining the reliability and the stability of the grounding wire and reducing the downtime; the fault diagnosis component employs various methods, such as expert systems, neural network algorithms, and bayesian networks, to provide multi-level fault diagnosis, thereby increasing the accuracy of fault diagnosis, and the performance diagnosis component employs methods, such as threshold detection and load testing, to effectively monitor and solve performance problems.
The data encryption module uses an asymmetric encryption algorithm and a hash algorithm to encrypt various data in the system, so that the safe transmission of the data of the ground wire system is protected, and the data leakage is prevented, and the privacy and confidential information of the system are protected.
Through the data acquisition module and the Beidou satellite positioning module, the environment state data of the grounding wire, such as temperature, humidity and current, and accurate position information thereof can be acquired in real time. This facilitates a comprehensive understanding of the operating environment of the ground line, and is particularly useful when monitoring of remote or inaccessible locations is required.
The real-time monitoring module is responsible for analyzing the environmental status data and the positioning signal data for risk assessment, which means that the system can immediately identify potential problems or abnormal situations, such as overheat, high humidity, overcurrent and the like, so as to help prevent accidents; the presence of the diagnostic module enables the system to perform fault diagnosis of the ground wire, once the system detects an abnormality, the diagnostic module can further analyze the data to determine the cause of the problem, thereby providing maintenance advice, which can speed up the maintenance process and reduce downtime; the alarm module may trigger an alarm immediately and notify the relevant personnel, which may facilitate taking prompt action to reduce potential damage or risk once the system detects an abnormal condition, which may also improve the reliability and safety of the system.
The intelligent ground wire system based on the Beidou further comprises an intelligent ground wire based on the Beidou, and comprises a ground wire body, a power supply device, a positioner, a central controller, a Beidou navigation receiver, a sensor network and a monitoring display terminal, wherein the ground wire body, the power supply device, the positioner, the central controller, the Beidou navigation receiver, the sensor network and the monitoring display terminal are in communication connection.
The sensor network comprises a temperature sensor, a humidity sensor and a ground potential sensor; the central controller is in communication connection with the temperature sensor, the humidity sensor and the ground potential sensor; the Beidou satellite positioning module is arranged on the positioner and the Beidou navigation receiver; the data acquisition module is arranged on the sensor network; the real-time monitoring module and the diagnosis module are arranged on the processor and the monitoring display terminal; the alarm module is arranged on the monitoring display terminal.
The sensor network comprises a temperature sensor, a humidity sensor and a ground potential sensor, wherein the sensors are used for acquiring environmental state data around the ground wire, and the data acquisition module is responsible for acquiring the data, including temperature, humidity, ground potential and other information, so that real-time monitoring of the working environment of the ground wire is provided; the Beidou satellite positioning module is arranged on the locator and the Beidou navigation receiver, so that high-precision position positioning can be realized, the system can accurately determine the position of the grounding wire, and the Beidou satellite positioning module is very beneficial to the remote or inaccessible grounding wire.
The central controller is connected with the temperature sensor, the humidity sensor and the ground potential sensor, so that the central controller can monitor environmental state data in real time, and in addition, the real-time monitoring module and the diagnosis module are arranged on the central controller and the monitoring display terminal, so that analysis, monitoring, risk assessment and fault diagnosis are allowed to be carried out on the acquired data, potential problems can be found in time, and necessary measures are taken; the alarm module is arranged on the monitoring display terminal, can give an alarm when abnormal conditions occur, and notifies related personnel, so that the system can rapidly cope with potential danger or problems, and the reliability and the safety of the system are improved.
The system integrates a sensor network, beidou satellite positioning, central control, real-time monitoring and diagnosis modules and an alarm system, and realizes various aspects of the comprehensive monitoring ground wire system, which is beneficial to improving comprehensive understanding of the ground wire state, reducing risk and improving the efficiency of the system.
The embodiment also provides a computer device, which is applicable to the case of the Beidou-based intelligent grounding wire method, and comprises the following steps: a memory and a processor; the memory is used for storing computer executable instructions, and the processor is used for executing the computer executable instructions to realize the intelligent grounding wire method based on Beidou as set forth in the embodiment.
The computer device may be a terminal comprising a processor, a memory, a communication interface, a display screen and input means connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
The present embodiment also provides a storage medium, on which a computer program is stored, which when executed by a processor, implements the intelligent ground wire method based on beidou as set forth in the above embodiment; the storage medium may be implemented by any type or combination of volatile or nonvolatile Memory devices, such as static random access Memory (Static Random Access Memory, SRAM), electrically erasable Programmable Read-Only Memory (ELECTRICALLY ERASABLE PROGRAMMABLE READ-Only Memory, EEPROM), erasable Programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), programmable Read-Only Memory (PROM), read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk, or optical disk.
In summary, the invention combines the environmental state data of the grounding wire with the positioning signal data for analysis and monitoring, is beneficial to identifying potential risks such as voltage fluctuation, short circuit, grounding wire abnormality and the like, and carries out risk assessment, thereby being beneficial to preventing accidents and taking necessary maintenance measures in advance; when a problem is detected, the diagnosis module can further deeply analyze the nature of the problem and accurately determine the fault of the grounding wire or the position of the problem, which is helpful for quickly repairing the problem and reducing the downtime; when the system detects an abnormal condition, an alarm can be quickly raised, which helps take action in time, reducing potential losses and risks.
Example 2
A second embodiment of the present invention, which is different from the first embodiment, is: the intelligent grounding wire method based on the Beidou comprises the following specific steps:
S1: and deploying a sensor, and periodically collecting the environmental state data of the grounding wire.
S2: and receiving and analyzing the Beidou satellite signals, and calculating the real-time coordinate position of the grounding wire.
Preferably, the Beidou satellite navigation receiver is arranged at the local end of the grounding wire, the receiver adopts a GNSS module, compatible BeiDou +GPS+GLONASS, navigation signals transmitted from the Beidou satellites are received through an antenna, and the navigation signal frequency band is B1I (1561.098 MHz).
The received analog signals are subjected to filtering, amplifying, down-conversion and the like, the analog-to-digital conversion is carried out to obtain digitized signals, different components of the signals are separated, and navigation message data of the satellite is obtained through demodulation.
Analyzing ephemeris and clock error parameters of each satellite from the navigation message, measuring the distance between the pseudo distance and the satellite and the receiver, determining the three-dimensional coordinates of the receiver by using a least square method, and outputting the longitude, latitude and altitude of the grounding wire in real time.
Specifically, decoding a satellite navigation message composite signal, eliminating signal propagation errors, acquiring original navigation data, analyzing broadcast ephemeris (X, Y, Z and V) of a satellite, analyzing satellite clock difference DDT and satellite clock deviation; the receiver generates local reference time during distance measurement, the signal receiving time of the relevant satellite is calculated, the signal propagation time, namely pseudo range PR, the influence of satellite clock error on PR is corrected, and PR is measured for each visible satellite respectively; establishing equations between the receiver coordinates (x, y, z) and all PR, forming an overdetermined equation set because of receiver clock differences, solving by using an iterative weighted least square algorithm, and iteratively optimizing the values of the receiver coordinates and clock differences; the calculated three-dimensional coordinate value is obtained, the Cartesian coordinate is converted into a geodetic coordinate, the accurate longitude and latitude of the grounding wire at the current moment are output, and meanwhile, the altitude of the corresponding point is output; detecting whether the satellite number is enough, if the satellite number is less than m, positioning is impossible, and if the satellite signal quality is too poor, identifying the satellite signal as an abnormal value; and executing least square iteration again, eliminating the invalid satellite, and outputting coordinates if the number of the residual satellites is enough.
Further, correcting the effect of satellite clock bias on PR includes the steps of: establishing a satellite clock difference and pseudo-range mapping database; inputting the current satellite ID and the clock error value obtained by analysis; searching a history mapping relation through a database index; predicting a current optimal mapping function by using a neural network model; and correcting the pseudo-range value according to the function conversion result.
Preferably, iteratively optimizing the receiver coordinates and the value of the clock difference comprises the steps of:
The machine learning model used was a multi-layer feedforward neural network: the input layer parameters comprise receiver coordinates (x, y, z), receiver clock differences dt, and the output layer results are a plurality of candidate coordinates and clock differences; substituting the trained parameters into a model, and predicting candidate combinations corresponding to a plurality of outputs at the value of input layer variation (x, y, z, dt), wherein the prediction is as follows:
{(x1,y1,z1,dt1),(x2,y2,z2,dt2),...,(xn,yn,zn,dtn)}
Substituting each candidate combination into a positioning equation:
PRi＝sqrt{(xi-Xs)^2+(yi-Ys)^2+(zi-Zs)^2}
PR is a pseudo range calculated correspondingly for the candidate combination, error is calculated by using a least square method, a loss function is solved, and the error size is represented:
Loss＝∑{i＝1}^{n}(PRi-PR{meas})^2
and generating a new candidate combination according to the Loss value, repeatedly calculating the Loss by adopting operations such as crossing, mutation and the like, reserving the minimum Loss combination, obtaining an optimal solution after enough iteration times, obtaining the minimum Loss candidate combination, and outputting corresponding coordinates and clock difference values as a final positioning result of the receiver.
S3: and analyzing the environmental data and the positioning information, evaluating the risk of insulation performance reduction, and connecting the monitoring platform in real time.
S3.1: and accurately analyzing Beidou positioning coordinates and altitude information.
S3.2: and comparing and analyzing the temperature and humidity data with the historical data.
Preferably, temperature and humidity data are collected at each moment, the current data are compared with the data in the past 24 hours, the temperature fluctuation range delta T and the humidity fluctuation range delta H are calculated, and if delta T or delta H exceeds the historical normal fluctuation range, the abnormality is marked.
Further, the process of calculating the temperature fluctuation range Δt and the humidity fluctuation range Δh includes: collecting a large amount of historical temperature and humidity monitoring data, including data under different months, weather and altitudes; segmenting historical data according to month, weather and other conditions, calculating a standard deviation sigma of temperature and humidity in each segment, and taking the 3 sigma as a normal fluctuation range; searching weather forecast information of the same day, and expanding a fluctuation range if extreme weather such as rainfall, strong wind and the like exists; if the air is stable in the day, the original range is kept unchanged; comparing the data monitored in real time with the historical contemporaneous segment, and calculating real-time fluctuation amplitude, namely delta T and delta H; and comparing the delta T and delta H with the historical fluctuation range, if the range is exceeded, outputting the abnormal value, otherwise, outputting the abnormal value to the normal variation range.
S3.3: and judging air pressure and environmental loss by combining altitude information, and establishing a model to evaluate the risk degree of insulation performance reduction.
Inputting current altitude data, and calculating atmospheric pressure P according to a formula; counting historical failure rates under different temperature, humidity and altitude conditions; and establishing a loss evaluation model, and inputting P, delta T and delta H to predict the insulation loss.
S3.4: and if the risk degree exceeds the serious level, actively pushing early warning, and sending monitoring and risk data to the platform in real time through the 4G module.
The loss model outputs a risk index of influence on the insulation performance; if the risk index is more than or equal to 0.85, the risk early warning is immediately triggered and pushed to the monitoring platform, the platform receives early warning data, and a real-time risk map is displayed.
S4: and testing the connection parameters of the grounding wire, diagnosing the fault type of the circuit, and outputting equipment ageing and maintenance suggestions.
Loading expert system knowledge base rules and recording line parameter thresholds; starting a power-off test, measuring real-time impedance and voltage data, and judging whether the data are abnormal or not by using a neural network: if the test condition is abnormal, recording fault characteristics under the test condition, and if the test condition is normal, entering the next round of test; the probability of different faults is calculated using a bayesian network: if the maximum fault probability is more than 0.8, confirming the fault, otherwise, starting a load test and measuring a new index under the load condition; and the expert system comprehensively judges the fault cause according to all indexes, proposes corresponding maintenance measures and replacement suggestions, visually displays the whole diagnosis process and generates a diagnosis report.
S5: setting a risk level and an early warning threshold, and triggering an audible and visual alarm to notify related personnel when the risk index is detected to be out of limit.
Preferably, 3 risk levels are preset and respectively correspond to different early warning thresholds; detecting a risk degree real-time curve, and immediately triggering an audible alarm and a field warning lamp to prompt when the risk degree real-time curve exceeds a corresponding early warning threshold value; pushing an alarm prompt to a monitoring platform to inform relevant responsible persons; personnel quickly go to field for processing after receiving the alarm.
The intelligent safety monitoring system for the construction scene provided by the invention gives a specific application example of the construction site of the mountain high-speed railway bridge: the construction area of the high-speed railway bridge of 10 km mountain land is covered, the terrain is complex, high-risk areas such as steep slopes, cliffs and the like exist, workers are distributed on the upper and lower sides of the bridge body, and the workers move frequently.
The effect is as follows:
Table 1 comparison of effects after the use of the method according to the invention
| Project | Data comparison |
| Positioning accuracy | The level of 10 meters is increased to the level of meters |
| Risk judgment accuracy | From 83% to 96% |
| Incidence of accident | Reduced by 58% |
The method comprises the steps of capturing images through panoramic photography of kilometers-level bridges, marking a risk area through high-precision modeling, enabling workers to wear Terminal, enabling a Beidou module to be arranged in a Terminal, enabling the Terminal to be connected with an image recognition algorithm, achieving accurate self-positioning, analyzing paths to generate individual behavior patterns, comparing real-time behaviors with pattern differences, intelligently dividing risk levels, and sending out position-targeted alarms to guide staff to avoid when the risk levels are out of limit.
The method effectively improves the safety management level of the construction scene, greatly reduces the accident probability, is accurate in positioning, intelligent in risk judgment, and quick and effective in early warning, and integrally realizes active and refined safety monitoring.
It should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention may be modified or substituted without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered in the scope of the claims of the present invention.
Claims (10)
1. An intelligent grounding wire method based on Beidou is characterized by comprising the following steps of: comprising the following steps:
deploying a sensor, and periodically collecting the environmental state data of the grounding wire;
Receiving and analyzing Beidou satellite signals, and calculating real-time coordinate positions of the grounding wires;
analyzing environmental data and positioning information, evaluating insulation performance reduction risks, and connecting the real-time communication monitoring platform;
Testing the connection parameters of the grounding wire, diagnosing the fault type of the line, and outputting equipment ageing and maintenance suggestions;
Setting a risk level and an early warning threshold, and triggering an audible and visual alarm to notify related personnel when the risk index is detected to be out of limit.
2. The intelligent ground wire method based on Beidou according to claim 1, wherein the method comprises the following steps: the method for receiving and analyzing the Beidou satellite signals and calculating the real-time coordinate position of the grounding wire comprises the following steps:
The Beidou satellite navigation receiver is arranged at the local end of the grounding wire, and navigation signals transmitted by all Beidou satellites are received through an antenna;
Filtering, amplifying and down-converting the received analog signals, obtaining digitized signals through analog-to-digital conversion, separating different components of the signals, and demodulating to obtain navigation message data of the satellite;
Analyzing ephemeris and clock error parameters of each satellite from the navigation message, measuring the distance between the pseudo distance and the satellite and the receiver, determining the three-dimensional coordinates of the receiver by using a least square method, and outputting the longitude, latitude and altitude of the grounding wire in real time.
3. The intelligent ground wire method based on Beidou according to claim 2, wherein the method comprises the following steps: the measuring pseudoranges, the satellite to receiver distances, using a least squares method to determine three-dimensional coordinates of the receiver includes,
The receiver generates local reference time during distance measurement, satellite signal receiving time, and calculates signal propagation time, namely pseudo range PR;
correcting the influence of satellite clock error on PR, and measuring PR for each visible satellite respectively;
establishing equations between receiver coordinates (x, y, z) and all PR, forming an overdetermined equation set due to the existence of receiver clock differences, solving by using an iterative weighted least square algorithm, and iteratively optimizing the values of the receiver coordinates and the clock differences;
the calculated three-dimensional coordinate value is obtained, the Cartesian coordinate is converted into the geodetic coordinate, the accurate longitude and latitude of the grounding wire at the current moment are output, and meanwhile, the altitude of the corresponding point is output.
4. The intelligent ground wire method based on Beidou according to claim 3, wherein the method comprises the following steps of: the correction of the effect of satellite clock bias on PR comprises the following steps:
Establishing a satellite clock difference and pseudo-range mapping database;
Inputting the current satellite ID and the clock error value obtained by analysis;
Searching a history mapping relation through a database index; predicting a current optimal mapping function by using a neural network model;
And correcting the pseudo-range value according to the function conversion result.
5. The intelligent ground wire method based on Beidou as set forth in claim 4, wherein: the real-time communication connection monitoring platform is used for analyzing environment data and positioning information and evaluating insulation performance reduction risks, and comprises the following steps of:
Accurately analyzing Beidou positioning coordinates and altitude information;
comparing and analyzing the temperature and humidity data with the historical data;
Judging air pressure and environmental loss by combining altitude information, and establishing a model to evaluate the risk degree of insulation performance reduction;
And if the risk degree exceeds the serious level, actively pushing early warning, and sending monitoring and risk data to the platform in real time through the 4G module.
6. The intelligent ground wire method based on Beidou according to claim 5, wherein the intelligent ground wire method based on Beidou comprises the following steps: the comparison analysis of the temperature and humidity data and the historical data comprises the following steps:
Collecting a large amount of historical temperature and humidity monitoring data, including data under different months, weather and altitudes;
segmenting historical data according to months and weather, calculating standard deviation sigma of temperature and humidity in each segment, and taking 3 sigma as a normal fluctuation range;
retrieving weather forecast information of the same day, and if extreme weather exists, expanding a fluctuation range;
if the air is stable in the day, the original range is kept unchanged;
And comparing the data monitored in real time with the historical contemporaneous segment, and calculating real-time fluctuation amplitude, namely delta T and delta H.
7. The intelligent ground wire method based on Beidou according to claim 6, wherein the intelligent ground wire method based on Beidou comprises the following steps: the setting of the risk level and the pre-warning threshold includes,
Presetting a plurality of risk levels, and respectively corresponding to different early warning thresholds;
Detecting a risk degree real-time curve, and immediately triggering an audible alarm and a field warning lamp to prompt when the risk degree real-time curve exceeds a corresponding early warning threshold value;
And pushing an alarm prompt to a monitoring platform to inform relevant responsible persons.
8. An intelligent ground wire system based on Beidou, based on the intelligent ground wire method based on Beidou of any one of claims 1-7, is characterized in that: comprising the steps of (a) a step of,
The system comprises a data acquisition module, a Beidou satellite positioning module, a real-time monitoring module, a diagnosis module and an alarm module;
The data acquisition module is used for acquiring the environmental state data of the grounding wire; the Beidou satellite positioning module is used for receiving and processing positioning signal data from a Beidou satellite system and comprises a satellite signal receiving assembly and a data analyzing assembly; the real-time monitoring module is used for analyzing, monitoring and risk assessment of the acquired environmental state data and the positioning signal data and comprises a data analysis component, a risk assessment component and a real-time communication component; the diagnosis module is used for carrying out fault diagnosis on the ground wire and comprises a fault diagnosis component and a performance diagnosis component; the alarm module is used for giving an alarm when an abnormal situation occurs and notifying relevant personnel of the system;
The data acquisition module periodically acquires environmental state data of the grounding wire, and the Beidou satellite positioning module continuously receives positioning signal data and determines the position of the grounding wire; the real-time monitoring module receives and analyzes the data from the data acquisition module and the Beidou satellite positioning module, and monitors environmental conditions and evaluates risks; if the real-time monitoring module detects an abnormal condition, the alarm module is triggered to notify related personnel; the diagnostic module further analyzes the data to determine the cause of the problem and provides maintenance recommendations.
9. Intelligent grounding wire system based on big dipper, its characterized in that: comprising the following steps: the data parsing component includes the following:
receiving Beidou satellite signal data, and preprocessing the received original data, wherein the preprocessing comprises checksum error correction;
decoding the satellite signal data into processable text or numerical data;
after decoding, filtering and screening the data, and correcting the data;
calculating accurate position and clock information of the satellite by using satellite ephemeris data;
calculating the position of the receiving device by using the parsed satellite data and the position information of the receiving device, and generating accurate position information;
According to the communication protocol of the Beidou satellite system, the received binary signal data are decoded into readable text or numerical data, and the decoded data are decomposed into different fields according to a protocol format.
10. Intelligent grounding wire system based on big dipper, its characterized in that: comprising the following steps: the data analysis component is used for analyzing the acquired environmental state data and positioning signal data and generating an analysis report;
the risk assessment component is used for assessing potential risks and threats through a risk assessment algorithm;
The real-time communication component is used for ensuring the transmission and the reception of real-time data through communication protocols and technologies and realizing data interaction;
the risk assessment algorithm includes one or more of risk matrix analysis, failure mode and effect analysis, anomaly detection, and failure tree analysis.
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