CN113670252B - Self-adaptive arc length deformation monitoring method and device based on multisource information fusion - Google Patents
Self-adaptive arc length deformation monitoring method and device based on multisource information fusion Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
- G01B21/32—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring the deformation in a solid
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
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- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/42—Determining position
- G01S19/51—Relative positioning
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- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Abstract
The application relates to the field of deformation monitoring and discloses a self-adaptive arc length deformation monitoring method and device based on multisource information fusion. The method comprises the following steps: determining a GNSS deformation early warning value of the monitoring station based on the calculated arc length according to the satellite observation data of the monitoring station and the satellite observation data of the reference station; determining a rainfall early warning value of the monitoring station according to the rainfall sensor of the monitoring station; determining an inclination early warning value of the monitoring station according to the inclination sensor of the monitoring station; determining a comprehensive risk value according to the GNSS deformation early-warning value, the rainfall early-warning value and the inclination early-warning value; according to the comprehensive risk value, adjusting the resolving arc length; and determining and monitoring the deformation of the monitoring station according to the adjusted calculated arc length. By fusing multisource data of the GNSS and the sensor, arc length is quickly and accurately adaptively matched and calculated, and the elastic requirements of safety monitoring on precision and timeliness under different service states are met.
Description
Technical Field
The application relates to the field of deformation monitoring, in particular to a self-adaptive arc length deformation monitoring technology based on multisource information fusion.
Background
In the satellite navigation high-precision monitoring technology, a representative area in a certain range is often used for selecting a vertical section along a deformation direction to establish a deformation observation point, and a datum point is established at a proper position (such as a stable bedrock or an office building roof in a mining area) distant from the monitoring point. A GNSS receiver is installed at the reference point, and the change in the coordinates (or the base line) of the deformed point is obtained by observation over several periods based on the known three-dimensional coordinates with high accuracy. And (3) establishing a safety monitoring model according to the deformation of the observation point, so as to analyze the deformation rule of the landslide body and realize timely feedback.
The monitoring result based on the satellite navigation high-precision monitoring technology generally reaches the millimeter-level horizontal monitoring precision, meanwhile, under the premise that the monitoring point is accurate in site selection and the satellite observation condition is good, the altitude can also reach the millimeter-level monitoring precision by properly prolonging the observation period, a complete and feasible solution for monitoring deformation by adopting the Beidou satellite navigation technology is formed, and a Beidou high-precision deformation monitoring system integrating data acquisition, transmission, storage and protection is created, so that all-weather and uninterrupted automatic monitoring is realized.
The core goal of the space deformation monitoring technology is to obtain the coordinates of the monitoring site with high reliability and high quality. Around this goal, the core flow is as follows:
1) And (3) data acquisition: and the GNSS terminals of the monitoring station and the reference station receive satellite signals to obtain satellite observation data.
2) And (3) data access: and accessing satellite observation data of the monitoring station and the reference station into the monitoring platform.
3) Coordinate solution: and the monitoring platform carries out resolving configuration, and the coordinates of the monitoring site are resolved through a core algorithm to output a resolving result.
At present, deformation monitoring is mainly realized through automatic monitoring by a local single-station GNSS, so that millimeter-level monitoring service is provided through fixed-solution arc length post-treatment. The method comprises the following steps:
1) And (3) equipment is installed, and equipment installation configuration is completed in the deformation characteristic points and the stable areas within a certain range from the deformation points respectively.
2) Platform configuration, manually completing initial value setting, such as calculating arc length, reference value, alarm threshold value and the like.
3) And (3) data access and calculation, wherein the system automatically completes coordinate calculation and result output according to the set fixed calculation arc length.
However, as can be appreciated by those skilled in the art, in the prior art, a solution for fixing the arc length is manually configured in advance, because the differential requirements of the deformation body on the resolving precision and the timeliness are not considered, and only the resolving mode for fixing the arc length is adopted, the resolving precision and the timeliness cannot be timely adjusted according to the actual scene, for example, the requirement of the deformation body on the precision is relatively high in the stable period, and when a larger displacement trend occurs, the deformation body generates a larger displacement, and the potential safety hazard is larger, so that the requirement on the timeliness is more prominent. Therefore, the prior art scheme cannot well meet the real business scene requirements of clients.
Disclosure of Invention
The utility model aims to provide a self-adaptation arc length deformation monitoring method and device based on multisource information fusion, through fusing the multisource data of GNSS and sensor, utilize multisource information fusion linkage to trigger self-adaptation to calculate arc length adjustment, acquire the balance in the aspect of resolving precision and timeliness, satisfy the elasticity demand of safety monitoring to precision and timeliness under the different business state.
In order to solve the technical problems, the embodiment of the invention discloses a self-adaptive arc length deformation monitoring method based on multi-source information fusion, a sensor and a GNSS receiver are arranged at a monitoring site, the sensor comprises a rainfall sensor and an inclination sensor, the GNSS receiver is arranged at a reference site, and the method comprises the following steps:
receiving sensor data, satellite observation data and satellite observation data of a reference station of a monitoring station;
determining the deformation of the monitoring station based on the calculated arc length according to the satellite observation data of the monitoring station and the satellite observation data of the reference station, and determining a corresponding GNSS deformation early warning value according to the deformation;
determining rainfall of the monitoring station according to the rainfall sensor of the monitoring station so as to determine a corresponding rainfall early warning value;
determining the inclination amount of the monitoring station according to the inclination sensor of the monitoring station so as to determine a corresponding inclination early warning value;
determining a comprehensive risk value according to the GNSS deformation early-warning value, the rainfall early-warning value and the inclination early-warning value;
according to the comprehensive risk value, adjusting the calculated arc length;
and determining and monitoring the deformation of the monitoring station according to the adjusted calculated arc length.
The embodiment of the invention also discloses a self-adaptive arc length deformation monitoring device based on multi-source information fusion, which is suitable for the method, wherein a sensor and a GNSS receiver are arranged at a monitoring site, the sensor comprises a rainfall sensor and an inclination sensor, and the GNSS receiver is arranged at a reference site, and the device comprises:
the receiving module is used for receiving the sensor data of the monitoring station, the satellite observation data and the satellite observation data of the reference station;
the GNSS deformation early warning value determining module is used for determining the deformation of the monitoring station based on the calculated arc length according to the satellite observation data of the monitoring station and the satellite observation data of the reference station, and determining the corresponding GNSS deformation early warning value according to the deformation;
the rainfall early warning value determining module is used for determining the rainfall of the monitoring station according to the rainfall sensor of the monitoring station so as to determine a corresponding rainfall early warning value;
the inclination early warning value determining module is used for determining the inclination amount of the monitoring station according to the inclination sensor of the monitoring station so as to determine a corresponding inclination early warning value;
the comprehensive risk value determining module is used for determining a comprehensive risk value according to the GNSS deformation early-warning value, the rainfall early-warning value and the inclination early-warning value;
the calculation arc length adjusting module is used for adjusting the calculation arc length according to the comprehensive risk value;
and the monitoring module is used for determining and monitoring the deformation of the monitoring station according to the adjusted calculated arc length.
Compared with the prior art, the embodiment of the invention has the main differences and effects that:
by fusing the multisource data of the GNSS and the sensor, the multisource information fusion linkage is utilized to trigger the self-adaptive calculation arc length adjustment, balance in the aspects of calculation precision and timeliness is obtained, and the elastic requirements of safety monitoring on precision and timeliness under different service states are met.
Further, based on the Beidou foundation enhancement system covering the whole country, a multi-source information fusion self-adaptive arc length deformation monitoring overall scheme is constructed, self-adaptive arc length calculation is triggered through linkage of a Beidou monitoring station and other sensors, and an AI big data technology is utilized to continuously optimize and enrich the self-adaptive arc length model, so that the method and the device meet actual business demands of customers to the greatest extent.
Further, when the deformation body is in a stable period, the stable and reliable precision requirement weight is greater than the timeliness requirement, and then the resolving arc length is set longer. When the deformation body has obvious displacement trend and integrates other sensor data, and the deformation body has larger potential safety hazard, the timeliness weight is increased on the premise of ensuring certain precision, and then the resolving arc length is also required to be shortened.
Furthermore, by combining multi-source information fusion, a balance value can be well obtained for different scenes and deformation states, the elastic requirements of precision and timeliness are met to the greatest extent, and greater practical value is brought to deformation monitoring.
In the present application, a number of technical features are described in the specification, and are distributed in each technical solution, which makes the specification too lengthy if all possible combinations of technical features (i.e. technical solutions) of the present application are to be listed. In order to avoid this problem, the technical features disclosed in the above summary of the present application, the technical features disclosed in the following embodiments and examples, and the technical features disclosed in the drawings may be freely combined with each other to constitute various new technical solutions (these technical solutions are all regarded as being already described in the present specification) unless such a combination of technical features is technically impossible. For example, in one example, feature a+b+c is disclosed, in another example, feature a+b+d+e is disclosed, and features C and D are equivalent technical means that perform the same function, technically only by alternative use, and may not be adopted simultaneously, feature E may be technically combined with feature C, and then the solution of a+b+c+d should not be considered as already described because of technical impossibility, and the solution of a+b+c+e should be considered as already described.
Drawings
FIG. 1 is a flow chart of an adaptive arc length deformation monitoring method based on multi-source information fusion according to a first embodiment of the present application;
FIG. 2 is a schematic flow chart of a preferred embodiment according to a first embodiment of the present application;
fig. 3 is a schematic structural diagram of an adaptive arc length deformation monitoring device based on multi-source information fusion according to a second embodiment of the present application.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. However, it will be understood by those skilled in the art that the claimed invention may be practiced without these specific details and with various changes and modifications from the embodiments that follow.
Description of the partial concepts:
1) And (3) GNSS: global Navigation Satellite System (global satellite navigation system) refers broadly to all satellite navigation systems, including global, regional and augmentation, such as GPS in the united states, glonass in russia, galileo in europe, beidou satellite navigation system in china, and related augmentation systems, such as WAAS (wide area augmentation system) in the united states, EGNOS (geostationary navigation overlay system) in europe, and MSAS (multi-function transport satellite augmentation system) in japan, among others, as well as other satellite navigation systems under construction and later on.
2) Deformation monitoring: the deformation phenomenon of the deformation body is continuously observed, the deformation form of the deformation body is analyzed, the development situation of the deformation body is predicted and the like by using a special instrument and a special method.
3) Tangential angle: refers to the included angle between the tangent line at a certain point on the deformation curve and the abscissa.
Aiming at specific monitoring stages of different monitoring scenes (landslide/house/dam/bridge), the accuracy and timeliness of the calculation result have different business requirements and practical significance. The concrete steps are as follows:
1) When the deformation body does not show a larger displacement trend, the requirement on timeliness is not particularly high, and the reliability of precision is very important;
2) The deformation body has a larger displacement trend, or when the risk of landslide, collapse and fracture exists under the emergency of bad weather and the like, the requirement on timeliness is very important on the premise of ensuring certain precision.
Based on the characteristics of the Beidou satellite navigation technology, the accuracy of the deformation monitoring and resolving result is mainly influenced by resolving arc length, base line length (distance from a monitoring station to a reference station), site environment, a receiving terminal and the like, wherein the resolving arc length is positively correlated with the accuracy, namely the longer the observation time is, the higher the accuracy is.
According to the technical scheme, self-adaptive arc length resolving is realized according to the specific state of the customer monitoring scene, specific monitoring service requirements of the customer are met, and accuracy and timeliness are optimally matched with the service requirements of a specific period, so that deformation monitoring scenes such as ground disasters can be better serviced.
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in further detail below with reference to the accompanying drawings.
The first embodiment of the invention relates to a self-adaptive arc length deformation monitoring method based on multi-source information fusion. The sensor comprises a rainfall sensor and an inclination sensor, and the GNSS receiver is arranged at a reference site.
Fig. 1 is a flow chart of the adaptive arc length deformation monitoring method based on multi-source information fusion.
Specifically, as shown in fig. 1, the adaptive arc length deformation monitoring method based on multi-source information fusion comprises the following steps:
in step 101, sensor data of a monitoring station, satellite observation data, and satellite observation data of a reference station are received.
Step 103 is entered, according to the satellite observation data of the monitoring station and the satellite observation data of the reference station, the deformation of the monitoring station is determined based on the calculated arc length, and the corresponding GNSS deformation early warning value is determined according to the deformation.
It should be noted that, in step 103, the initial calculation arc length may be set to a conventional value or set according to the requirement of the user, which is not limited to the present invention. The deformation amount may include one or more of a deformation speed, a deformation acceleration, and a tangential angle.
In addition, in step 103, the method of relative positioning is adopted according to the satellite observation data of the GNSS receiver of the monitoring station and the satellite observation data of the GNSS receiver of the reference station, and the determination of the deformation amount of the monitoring station based on the calculated arc length is prior art in the field, and is not further developed here.
Step 105 is entered, according to the rainfall sensor of the monitoring station, determining the rainfall of the monitoring station, so as to determine the corresponding rainfall early warning value.
Step 107 is entered to determine the tilt amount of the monitoring station according to the tilt sensor of the monitoring station, so as to determine a corresponding tilt early warning value.
It should be noted that, for deformation monitoring scenes such as earthquake, landslide, house, dam, bridge collapse, etc., rainfall and inclination change of the deformation body are key indexes in the deformation monitoring process, and the deformation degree of the deformation body is directly affected. The rainfall sensor is used for monitoring rainfall of the monitoring station, and the inclination sensor is used for continuously monitoring micro-inclination change of the deformation body.
Step 109 is entered to determine a comprehensive risk value according to the GNSS deformation warning value, the rainfall warning value and the inclination warning value.
Step 111 is entered to adjust the resolved arc length according to the integrated risk value.
Step 113 is entered, and the deformation of the monitoring station is determined and monitored according to the adjusted calculated arc length.
The steps 103, 105, 107 may be performed simultaneously, and other steps may be performed simultaneously within a reasonable adjustment range, which is not limited to the present invention.
Further, preferably, the sensor arranged at the monitoring site may further include an inertial sensor, a temperature sensor and a humidity sensor, and correspondingly, the adaptive arc length deformation monitoring method based on multi-source information fusion may further include the following steps:
determining inertial navigation variation of the monitoring station according to the inertial navigation sensor of the monitoring station so as to determine a corresponding inertial navigation early warning value;
determining the temperature variation of the monitoring station according to the temperature sensor of the monitoring station so as to determine a corresponding temperature early warning value; and
and determining the humidity change amount of the monitoring station according to the humidity sensor of the monitoring station so as to determine a corresponding humidity early warning value.
Accordingly, in step 109, the method may further include:
and determining the comprehensive risk value according to the GNSS deformation early-warning value, the rainfall early-warning value, the inclination early-warning value, the inertial navigation early-warning value, the temperature early-warning value and the humidity early-warning value.
It should be noted that, for different monitoring scenarios, the sensors disposed at the monitoring site may also include other sensors, and are limited to the above listed sensor types.
Further, preferably, in step 103, the following sub-steps may be included:
determining the deformation speed, the deformation acceleration and the tangential angle of the monitoring station based on the deformation;
and determining a corresponding GNSS deformation early warning value according to the deformation quantity, the deformation speed, the deformation acceleration and the tangential angle.
Still further, preferably, in the step of determining the corresponding GNSS deformation early-warning value according to the deformation amount, the deformation speed, the deformation acceleration and the tangential angle, the method may further include:
when the deformation speed is less than or equal to 2 mm/day, the accumulated deformation amount is less than or equal to 20mm, the deformation acceleration is less than or equal to 0, and the tangential angle is less than or equal to 45 degrees, the corresponding GNSS deformation early warning value is 1;
when the deformation speed is 2-3 mm/day, the accumulated deformation amount is 20-40 mm, the deformation acceleration is greater than 0, and the tangential angle is 45-80 degrees, the corresponding GNSS deformation early warning value is 2;
when the deformation speed is greater than 3 mm/day, the accumulated deformation amount is greater than 40mm, the deformation acceleration is greater than 0, and the tangential angle is greater than 80 degrees, the corresponding GNSS deformation early warning value is 3.
The values of the pre-warning values are used to represent the pre-warning degree or level, and other values and expressions should be considered to be within the same or equivalent range of the embodiment, which is not limited by the present invention.
Further, preferably, in step 107, the following sub-steps may be included:
when the accumulated inclination amount is smaller than or equal to 0.25mm, the corresponding inclination early warning value is 1;
when the accumulated inclination amount is 0.25-0.35 mm, the corresponding inclination early warning value is 2;
when the accumulated inclination amount is more than or equal to 0.35mm, the corresponding inclination early warning value is 3.
Further, preferably, in step 105, the following sub-steps may be included:
when the rainfall is smaller than 10 mm/day, the corresponding rainfall early warning value is 1;
when the rainfall is 10-25 mm/day, the corresponding rainfall early warning value is 2;
when the rainfall is greater than 25 mm/day, the corresponding rainfall early warning value is 3.
Further, preferably, in step 109, the following method is adopted:
Grade＝a*G+b*T+c*R
wherein Grade represents the comprehensive risk value, a is the weight ratio of GNSS deformation early warning value, G is the weight ratio of the GNSS deformation early warning value, b is the weight ratio of the inclination early warning value, T is the inclination early warning value, c is the weight ratio of the rainfall early warning value, and R is the rainfall early warning value.
Further, in this embodiment, the weight ratio a of the GNSS deformation warning value is preferably 50%, the weight ratio b of the inclination warning value is preferably 30%, and the weight ratio c of the rainfall warning value is preferably 20%.
Further, preferably, in step 111, the following sub-steps may be included:
when the comprehensive risk value is less than or equal to 1.5, adjusting the resolving arc length to 8-24 hours;
when the comprehensive risk value is 1.5-2.5, adjusting the resolving arc length to 2-8 hours;
and when the comprehensive risk value is more than or equal to 2.5, adjusting the calculated arc length to be less than 2h.
That is, in step 111, the adjusted calculated arc length is less than 2 hours, or 2 to 8 hours, or 8 to 24 hours.
In the technical scheme of the application, through utilizing GNSS satellite observation data and various sensor data, multisource data fuses mutual verification deformation trend, and linkage triggers self-adaptation adjustment and solves the arc length, but not one-tenth invariably according to the fixed solution arc length of preset, to the changeable condition of monitoring service demand and actual scene, can satisfy the elasticity demand of safety monitoring to precision and timeliness under the different business states.
In other words, according to the technical scheme, aiming at the deformation risk of the monitoring object, the multisource information fusion linkage is utilized to trigger the self-adaptive calculation arc length adjustment, the balance in the aspects of calculation precision and timeliness is obtained, the elastic requirements of precision and timeliness are met to the greatest extent, and greater practical value is brought to deformation monitoring.
In order to better understand the technical solutions of the present disclosure, the following description is given with reference to a preferred embodiment, in which details are listed mainly for the sake of understanding, and are not intended to limit the scope of protection of the present application.
Fig. 2 is a flow chart of the preferred embodiment.
In the preferred embodiment, the cloud post-processing calculation is performed by using the nationwide foundation enhancement system, the initial calculation arc length is set to a conventional value or set according to the needs of the client, and the platform adaptively adjusts the calculation mode according to a switching strategy in the monitoring process, wherein the switching strategy is triggered by the linkage of the GNSS deformation displacement and other sensor data.
When the deformation body is in a stable period, the stable and reliable precision requirement weight is greater than the timeliness requirement, and then the resolving arc length is set longer. When the deformation body has obvious displacement trend and integrates other sensor data, and the deformation body has larger potential safety hazard, on the premise of ensuring certain precision, the timeliness weight is increased, and the resolving arc length is shortened as well.
Therefore, by combining multi-source information fusion, a balance value can be well obtained for different scenes and deformation states, the elastic requirements of precision and timeliness are met to the greatest extent, and greater practical value is brought to deformation monitoring.
Specifically, as shown in fig. 2, the technical scheme of the preferred embodiment is as follows:
aGNSS monitoring data preparation, data acquisition mode: and acquiring the ground surface three-dimensional displacement variation through the Beidou high-precision monitoring system.
B, preparing sensor data, and acquiring data in a mode of: according to the requirements of monitoring projects, sensors are arranged on site at a monitoring site, wherein a rainfall sensor and an inclination sensor are needed to be selected, and an inertial navigation sensor, a temperature sensor, a humidity sensor, a crack meter and a seismometer can be selected according to actual requirements.
C, initial parameter configuration, namely completing a resolving mode and GNSS/sensor monitoring early warning strategy setting according to monitoring specifications and monitoring project requirements, wherein the resolving mode needs to be set for resolving arc length, and the method specifically comprises the following steps:
solution mode one: the corresponding deformation stage is an attention stage, the timeliness requirement is low for the initial deformation stage, the precision requirement is high, and the GNSS resolving arc length is set to 8-24 h. The initial parameters may default to solution mode one.
Solution mode two: the corresponding deformation stage is a warning stage, the timeliness requirement is improved aiming at the initial stage of accelerating deformation, and the GNSS resolving arc length is set to be 2-8 h.
Solution mode three: the deformation stage is a warning stage, the mode aims at the acceleration deformation middle stage and the sudden increase stage, the stage has great potential safety hazard, the requirement on timeliness is critical, and the corresponding resolving arc length can be set to be less than 2h.
The early warning strategy setting comprises a reference value and an early warning threshold value, wherein the reference value generally selects the average value of a plurality of days of resolving results after equipment operation is stable, and the early warning threshold value is specifically as follows:
and (3) GNSS monitoring: the level I early warning threshold value (corresponding GNSS deformation early warning value is 1) comprises deformation speed less than or equal to 2 mm/day, accumulated deformation amount less than or equal to 20mm, deformation acceleration less than or equal to 0 and tangential angle less than or equal to 45 degrees; the class II early warning threshold value (corresponding GNSS deformation early warning value is 2) comprises deformation speed of 2-3 mm/day, accumulated deformation amount of 20-40 mm, deformation acceleration of more than 0, and tangential angle of 45-80 degrees; the III-level early warning threshold (corresponding GNSS deformation early warning value is 3) comprises deformation speed smaller than or equal to 10 mm/day, accumulated deformation larger than 40mm, deformation acceleration larger than 0 and tangential angle larger than 80 degrees.
And (3) rainfall monitoring: the I-level rainfall (the corresponding rainfall early warning value is 1) is small rain, and the rainfall in 1 day is less than 10mm; the II-level rainfall (the corresponding rainfall early warning value is 2) is medium rain, and the rainfall for 1 day is 10-25 mm; III level rainfall (corresponding rainfall early warning value is 3) is heavy rain, and the rainfall in 1 day is more than 25mm.
Tilt monitoring: the I-level accumulated alarm value (corresponding inclination early-warning value is 1) is that the accumulated inclination amount is less than or equal to 0.25mm; the II-level accumulated alarm value (corresponding inclination early warning value is 2) is 0.25-0.35 mm of accumulated inclination amount; the III-level accumulated alarm value (corresponding inclination early-warning value is 3) is that the accumulated inclination amount is more than or equal to 0.35mm.
Other: and selecting other types of sensors and setting parameters according to the specification and the requirements of monitoring projects.
And (3) carrying out dangerous case grade pre-judgment according to the project selection monitoring means and corresponding pre-warning grade setting, and selecting a resolving mode according to various pre-judgment situation results and combining project requirements, so as to generate an initial reference table of the resolving mode. If three monitoring means of GNSS, inclination and rainfall are adopted, three pre-warning levels are respectively set, 27 groups of situations are generated in total by arrangement and combination, and risk levels are obtained according to a certain weight calculation and analysis, and the specific method is as follows:
Grade＝a*G+b*T+c*R+d*O
wherein: grade represents a comprehensive risk value, a is the weight ratio of a GNSS deformation early warning value, G is the weight ratio of a GNSS deformation early warning value, b is the weight ratio of an inclination early warning value, T is the inclination early warning value, c is the weight ratio of a rainfall early warning value, R is the rainfall early warning value, d is the weight ratio of monitoring data of other sensors, and O is the monitoring data early warning value of other sensors; other sensors, if not employed, may be omitted from the formula, i.e., grade=a×g+b×t+c×r; other sensors such as inertial sensors, temperature sensors, humidity sensors, etc.
According to the above formula, if the weight ratio is set to be 50% GNSS, the inclination sensor is set to be 30% and the rainfall sensor is set to be 20%, then the Grade has 27 sets of results, and the risk level can be divided into the following three types: grade is less than or equal to 1.5 and is first-level, 1.5-2.5 is second-level, and is more than or equal to 2.5 and is third-level, and the third-level risk level is highest, and each risk level corresponds to a resolving mode.
According to the above formula, the weight ratio is set to be 30% of GNSS, 20% of inclination sensor, 20% of rainfall sensor, 10% of inertial sensor, 10% of temperature sensor and 10% of humidity sensor. The pre-warning values and the weights thereof can be adjusted according to practical situations, and the invention is not limited to this.
And (a) comprehensively analyzing Beidou monitoring data and sensor data, obtaining the three-dimensional displacement of the earth surface by using a Beidou monitoring means, obtaining environmental elements of a monitoring area and the deep displacement variation of the deformation body through a sensor, and obtaining the deep displacement state of the deformation body through analysis of an inclination sensor if rainfall conditions of the monitoring area are measured through a rainfall sensor.
And 3.A, performing early warning judgment, namely respectively comparing the GNSS three-dimensional displacement obtained in the step 2.A and the sensor data with early warning values to finish early warning judgment of each monitoring index and determine an early warning level. If the GNSS monitoring result is II-level early warning, the rainfall monitoring is I-level, and the inclination monitoring is II-level early warning.
And a, calculating and analyzing according to a certain weight according to the early warning judgment result of the step 3.A to obtain the comprehensive risk level, wherein the specific calculation method is the same as the formula of the step 1. C.
5.a according to the risk grade output by 4.A and the specific pre-warning grade of various monitoring means, the best resolving mode is automatically matched by comparing the resolving mode reference table. If the GNSS monitoring result is II-level early warning, the rainfall monitoring is I-level, and the inclination monitoring is II-level early warning, then the risk level is calculated and judged to be two-level according to the 1.C formula, and the resolving mode is adjusted to be two-mode, namely the resolving arc length is set to be 2-8 h.
6.a the switching operation is completed according to the best mode matched with 5.a, and the calculation is performed according to the new parameters.
7.a the calculation mode is switched, maintenance events are established according to the switching time, the calculation arc length and the statistical precision value in the mode are marked, and clients are synchronously notified through mails or short messages.
And 8.A, recording the current resolving mode switching event to a history library, wherein the history library mainly comprises various sensors, beidou alarm values and specific switching modes, forming a reference library, and analyzing and updating a resolving mode reference table by using AI big data.
In summary, the purpose of this preferred embodiment is to construct an overall scheme of adaptive arc length deformation monitoring for computing based on the beidou foundation enhancement system covering the whole country, trigger adaptive arc length computing through the linkage of the beidou monitoring station and other sensors, continuously optimize and enrich the adaptive arc length model by utilizing the AI big data technology, and maximally meet the actual business demands of customers. The technical effects that can reach are:
1) Aiming at changeable and actual scenes of monitoring service demands, the arc length is quickly and accurately matched in a self-adaptive mode, and the requirements of safety monitoring on precision and timeliness elasticity under different service states are met.
2) And uniformly utilizing the GNSS and other sensor data, mutually verifying deformation trend by multi-source data fusion, and triggering a self-adaptive resolving mode in a linkage manner.
The method embodiments of the present invention may be implemented in software, hardware, firmware, etc. Regardless of whether the invention is implemented in software, hardware, or firmware, the instruction code may be stored in any type of computer accessible memory (e.g., permanent or modifiable, volatile or non-volatile, solid or non-solid, fixed or removable media, etc.). Also, the Memory may be, for example, programmable array logic (Programmable Array Logic, abbreviated as "PAL"), random access Memory (Random Access Memory, abbreviated as "RAM"), programmable Read-Only Memory (Programmable Read Only Memory, abbreviated as "PROM"), read-Only Memory (ROM), electrically erasable programmable Read-Only Memory (Electrically Erasable Programmable ROM, abbreviated as "EEPROM"), magnetic disk, optical disk, digital versatile disk (Digital Versatile Disc, abbreviated as "DVD"), and the like.
The second embodiment of the invention relates to a self-adaptive arc length deformation monitoring device based on multi-source information fusion. The sensor comprises a rainfall sensor and an inclination sensor, and the GNSS receiver is arranged at a reference site.
Fig. 3 is a schematic structural diagram of the adaptive arc length deformation monitoring device based on multi-source information fusion.
Specifically, as shown in fig. 3, the adaptive arc length deformation monitoring device based on multi-source information fusion includes:
the receiving module is used for receiving the sensor data of the monitoring station, the satellite observation data and the satellite observation data of the reference station;
the GNSS deformation early warning value determining module is used for determining the deformation of the monitoring station based on the calculated arc length according to the satellite observation data of the monitoring station and the satellite observation data of the reference station, and determining the corresponding GNSS deformation early warning value according to the deformation;
the rainfall early warning value determining module is used for determining the rainfall of the monitoring station according to the rainfall sensor of the monitoring station so as to determine a corresponding rainfall early warning value;
the inclination early warning value determining module is used for determining the inclination amount of the monitoring station according to the inclination sensor of the monitoring station so as to determine a corresponding inclination early warning value;
the comprehensive risk value determining module is used for determining a comprehensive risk value according to the GNSS deformation early-warning value, the rainfall early-warning value and the inclination early-warning value;
the calculation arc length adjusting module is used for adjusting the calculation arc length according to the comprehensive risk value;
and the monitoring module is used for determining and monitoring the deformation of the monitoring station according to the adjusted calculated arc length.
To sum up, according to the method and the device, the GNSS satellite observation data and various sensor data are utilized, deformation trend is mutually verified through multi-source data fusion, self-adaptive adjustment of resolving arc length is triggered in a linkage mode, instead of invariably resolving arc length according to preset fixed conditions, and therefore the method and the device can meet the elastic requirements of safety monitoring on precision and timeliness under different service states according to the situation that monitoring service requirements and actual scenes are changeable.
The present embodiment is an apparatus embodiment corresponding to the first embodiment, and can be implemented in cooperation with the first embodiment. The related technical details mentioned in the first embodiment are still valid in this embodiment, and in order to reduce repetition, a detailed description is omitted here. Accordingly, the related art details mentioned in the present embodiment can also be applied to the first embodiment.
It should be noted that, those skilled in the art should understand that the implementation functions of the modules shown in the embodiment of the adaptive arc length deformation monitoring device based on multi-source information fusion may be understood by referring to the related descriptions of the adaptive arc length deformation monitoring method based on multi-source information fusion. The functions of the modules shown in the embodiment of the adaptive arc length deformation monitoring device based on multi-source information fusion can be realized through a program (executable instructions) running on a processor or through a specific logic circuit. The adaptive arc length deformation monitoring device based on multi-source information fusion according to the embodiments of the present disclosure may also be stored in a computer readable storage medium if implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present specification may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present specification. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read Only Memory (ROM), a magnetic disk, an optical disk, or other various media capable of storing program codes. Thus, embodiments of the present specification are not limited to any specific combination of hardware and software.
It should be noted that in the present patent application, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element. In the present patent application, if it is mentioned that an action is performed according to an element, it means that the action is performed at least according to the element, and two cases are included: the act is performed solely on the basis of the element and is performed on the basis of the element and other elements. Multiple, etc. expressions include 2, 2 times, 2, and 2 or more, 2 or more times, 2 or more.
All documents mentioned in the present application are considered to be included in the disclosure of the present application in their entirety, so that they may be subject to modification if necessary. Further, it will be understood that various changes or modifications may be made to the present application by those skilled in the art after reading the foregoing disclosure of the present application, and such equivalents are intended to fall within the scope of the present application as claimed.
Claims (11)
1. The adaptive arc length deformation monitoring method based on multi-source information fusion is characterized in that a sensor and a GNSS receiver are arranged at a monitoring site, the sensor comprises a rainfall sensor and an inclination sensor, and the GNSS receiver is arranged at a reference site, and the method comprises the following steps:
receiving sensor data, satellite observation data and satellite observation data of a reference station of a monitoring station;
determining the deformation of the monitoring station based on the calculated arc length according to the satellite observation data of the monitoring station and the satellite observation data of the reference station, and determining a corresponding GNSS deformation early warning value according to the deformation;
determining rainfall of the monitoring station according to the rainfall sensor of the monitoring station so as to determine a corresponding rainfall early warning value;
determining the inclination amount of the monitoring station according to the inclination sensor of the monitoring station so as to determine a corresponding inclination early warning value;
determining a comprehensive risk value according to the GNSS deformation early-warning value, the rainfall early-warning value and the inclination early-warning value;
according to the comprehensive risk value, adjusting the calculated arc length;
and determining and monitoring the deformation of the monitoring station according to the adjusted calculated arc length.
2. The method of claim 1, wherein the sensor disposed at the monitoring site further comprises an inertial sensor, a temperature sensor, a humidity sensor, the method further comprising the steps of:
determining inertial navigation variation of the monitoring station according to the inertial navigation sensor of the monitoring station so as to determine a corresponding inertial navigation early warning value;
determining the temperature variation of the monitoring station according to the temperature sensor of the monitoring station so as to determine a corresponding temperature early warning value; and
according to the humidity sensor of the monitoring station, determining the humidity variation of the monitoring station to determine a corresponding humidity early warning value;
the step of determining the comprehensive risk value according to the GNSS deformation early-warning value, the rainfall early-warning value and the inclination early-warning value further comprises the following steps:
and determining the comprehensive risk value according to the GNSS deformation early-warning value, the rainfall early-warning value, the inclination early-warning value, the inertial navigation early-warning value, the temperature early-warning value and the humidity early-warning value.
3. The method according to claim 1, wherein the step of determining the deformation of the monitoring station based on the calculated arc length and the satellite observation data of the reference station and the corresponding GNSS deformation early warning value according to the deformation comprises the sub-steps of:
determining the deformation speed, the deformation acceleration and the tangential angle of the monitoring station based on the deformation;
and determining a corresponding GNSS deformation early warning value according to the deformation quantity, the deformation speed, the deformation acceleration and the tangential angle.
4. The method of claim 3, wherein in the step of determining the corresponding GNSS deformation early warning value according to the deformation amount, the deformation speed, the deformation acceleration, and the tangential angle, further comprising:
when the deformation speed is less than or equal to 2 mm/day, the accumulated deformation amount is less than or equal to 20mm, the deformation acceleration is less than or equal to 0, and the tangential angle is less than or equal to 45 degrees, the corresponding GNSS deformation early warning value is 1;
when the deformation speed is more than 2 and less than or equal to 3 mm/day, the accumulated deformation amount is more than 20 and less than or equal to 40mm, the deformation acceleration is more than 0, and the tangential angle is more than 45 degrees and less than or equal to 80 degrees, the corresponding GNSS deformation early warning value is 2;
when the deformation speed is greater than 3 mm/day, the accumulated deformation amount is greater than 40mm, the deformation acceleration is greater than 0, and the tangential angle is greater than 80 degrees, the corresponding GNSS deformation early warning value is 3.
5. The method according to claim 1, wherein in the step of determining the tilt amount of the monitoring station according to the tilt sensor of the monitoring station to determine the corresponding tilt early warning value, the steps of:
when the accumulated inclination amount is smaller than or equal to 0.25mm, the corresponding inclination early warning value is 1;
when the accumulated inclination amount is more than 0.25 and less than 0.35mm, the corresponding inclination early warning value is 2;
when the accumulated inclination amount is more than or equal to 0.35mm, the corresponding inclination early warning value is 3.
6. The method as set forth in claim 1, wherein in the step of determining a rainfall of the monitoring site from the rainfall sensor of the monitoring site to determine a corresponding rainfall pre-warning value, the steps of:
when the rainfall is smaller than 10 mm/day, the corresponding rainfall early warning value is 1;
when the rainfall is more than or equal to 10 and less than or equal to 25 mm/day, the corresponding rainfall early warning value is 2;
when the rainfall is greater than 25 mm/day, the corresponding rainfall early warning value is 3.
7. The method according to claim 1, wherein in the step of determining the integrated risk value from the GNSS deformation early-warning value, the rainfall early-warning value, and the inclination early-warning value, the following method is adopted:
Grade＝a*G+b*T+c*R
wherein Grade represents the comprehensive risk value, a is the weight ratio of the GNSS deformation early-warning value, G is the weight ratio of the GNSS deformation early-warning value, b is the weight ratio of the inclination early-warning value, T is the inclination early-warning value, c is the weight ratio of the rainfall early-warning value, and R is the rainfall early-warning value.
8. The method of claim 7, wherein the weight ratio a of the GNSS deformation warning value is 50%, the weight ratio b of the inclination warning value is 30%, and the weight ratio c of the rainfall warning value is 20%.
9. The method of claim 8, wherein in said step of adjusting said calculated arc length in accordance with said composite risk value, comprising the sub-steps of:
when the comprehensive risk value is less than or equal to 1.5, adjusting the calculated arc length to be more than or equal to 8 and less than or equal to 24 hours;
when the comprehensive risk value is more than 1.5 and less than 2.5, adjusting the resolving arc length to be more than 2 and less than 8 hours;
and when the comprehensive risk value is more than or equal to 2.5, adjusting the calculated arc length to be less than or equal to 2h.
10. The method according to claim 1, wherein in the step of adjusting the calculated arc length according to the integrated risk value, the adjusted calculated arc length is less than 2 hours, or is 2 or more and 8 hours or is 8 or more and 24 hours or less.
11. An adaptive arc length deformation monitoring device based on multi-source information fusion, which is suitable for the method of any one of claims 1-10, wherein a sensor and a GNSS receiver are arranged at a monitoring site, the sensor comprises a rainfall sensor and an inclination sensor, and the GNSS receiver is arranged at a reference site, and the device is characterized in that:
the receiving module is used for receiving the sensor data of the monitoring station, the satellite observation data and the satellite observation data of the reference station;
the GNSS deformation early warning value determining module is used for determining the deformation of the monitoring station based on the calculated arc length according to the satellite observation data of the monitoring station and the satellite observation data of the reference station, and determining the corresponding GNSS deformation early warning value according to the deformation;
the rainfall early warning value determining module is used for determining the rainfall of the monitoring station according to the rainfall sensor of the monitoring station so as to determine a corresponding rainfall early warning value;
the inclination early warning value determining module is used for determining the inclination amount of the monitoring station according to the inclination sensor of the monitoring station so as to determine a corresponding inclination early warning value;
the comprehensive risk value determining module is used for determining a comprehensive risk value according to the GNSS deformation early-warning value, the rainfall early-warning value and the inclination early-warning value;
the calculation arc length adjusting module is used for adjusting the calculation arc length according to the comprehensive risk value;
and the monitoring module is used for determining and monitoring the deformation of the monitoring station according to the adjusted calculated arc length.
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