CN116990847B

CN116990847B - Beidou GNSS receiver resolving method and system based on edge calculation

Info

Publication number: CN116990847B
Application number: CN202311269592.2A
Authority: CN
Inventors: 张之芳; 黄桂军; 王晓幸; 马志远; 刘正洋; 胡斌斌; 朱玲; 黄维东; 何萧义; 李张成
Original assignee: Hunan Xiangyinhe Sensing Technology Co ltd
Current assignee: Hunan Xiangyinhe Sensing Technology Co ltd
Priority date: 2023-09-28
Filing date: 2023-09-28
Publication date: 2023-12-15
Anticipated expiration: 2043-09-28
Also published as: CN116990847A

Abstract

The application provides a Beidou GNSS receiver resolving method and system based on edge calculation. The method comprises the following steps: the method comprises the steps that a receiver collects monitoring information of the state, the shape and position change and the ring condition of a dam body, extracts characteristic data of the state variable, the shape and position change and the dynamic ring change of the dam body, obtains a dam body ring change induction factor according to the dynamic ring change characteristic data processing of the dam body, evaluates hydrogeological information monitoring information data to obtain a hydrogeological risk evaluation coefficient, corrects the state variable characteristic data and the shape and position variable characteristic data of each dam body according to the induction factor and the evaluation coefficient to obtain a dam body state change risk detection index and a dam body shape and position change risk assessment index, obtains dam body risk condition identification data according to the weighting of the dam body risk assessment index of a similar sample, and judges the risk condition of the dam body through threshold comparison; therefore, calculation and evaluation are carried out based on the information data collected by the receiver platform, and risk evaluation is carried out according to the monitoring information data of the dam body and the environment.

Description

Beidou GNSS receiver resolving method and system based on edge calculation

Technical Field

The application relates to the technical field of data acquisition and processing of receiver platforms, in particular to a Beidou GNSS receiver resolving method and system based on edge calculation.

Background

The GNSS (global navigation satellite system) receiver is used for receiving, tracking, converting and checking GPS signals to monitor the displacement of various object structures, while the traditional receiver is only an information processing platform mainly used for monitoring receiving and processing calculation positions and has the functions of collecting, processing and transmitting and displaying, the function of comprehensively collecting and processing information data by combining sensor information data is difficult to realize, the function is single, the condition monitoring of a dam body is carried out, besides the monitoring of the position, the shape and the displacement, the pressure, the load and the environmental condition information obtained by the sensor are required to be comprehensively processed, so that a dam body condition information monitoring platform based on the GNSS receiver is required to be designed, and the received collected displacement, the form, the pressure, the temperature, the load and the dam body environment and external perception information are comprehensively processed and evaluated through edge calculation, thereby obtaining the comprehensive receiver processing platform for evaluating the dam body risk condition.

Because the signal acquisition sources of the dam body are distributed and various, the acquired information types are changeable and complex, the integrated processing efficiency of the traditional platform is low, the constraint of a signal processing program is received, the edge calculation is adopted to meet the acquisition and calculation requirements of the classification and segmentation of various signal sources of the dam body, each node at the edge end utilizes an intelligent algorithm to perform real-time signal reception, data processing and fault analysis, various data collected by each signal source can be conveniently and efficiently processed in time, the analysis and evaluation requirements are met, the technology for comprehensively analyzing and processing the diversified information data of the dam body signal source according to the edge calculation mode is lacking at present, and meanwhile, the platform technology for collecting and processing the dam body information data based on the Beidou GNSS receiver and the signal source sensor is also lacking, and the dam body condition evaluation is performed.

In view of the above problems, an effective technical solution is currently needed.

Disclosure of Invention

The embodiment of the application aims to provide a Beidou GNSS receiver resolving method and system based on edge computation, which can realize a risk assessment judging technology according to monitoring information data of a dam body and an environment by carrying out computation assessment on information data collected by a receiver.

The embodiment of the application also provides a Beidou GNSS receiver resolving method based on edge calculation, which comprises the following steps:

acquiring a plurality of preset information monitoring areas of the dam body, and acquiring dam body physical state monitoring information of each information monitoring area in a preset time period, dam body shape and position change monitoring information of the dam body and dam body ring condition monitoring information through a Beidou GNSS receiver;

extracting dam object state variable characteristic data corresponding to each information monitoring area according to the dam object state monitoring information, wherein the dam object state variable characteristic data comprises compressive stress variable characteristic data and load kinetic energy variable characteristic data, and extracting deformation position variable characteristic data according to the dam object state change monitoring information;

extracting dam dynamic ring-change characteristic data in the preset time period according to the dam ring-condition monitoring information, acquiring dam ring-change history similar characteristic samples according to the dam dynamic ring-change characteristic data, and extracting dam risk assessment indexes corresponding to the similar samples;

Processing according to the dynamic ring-changing characteristic data of the dam body through a preset dam body ring-changing incentive evaluation model to obtain a dam body ring-changing induction factor;

acquiring hydrologic geological information monitoring information of the area where the dam body is located in the preset time period through the Beidou GNSS receiver, and evaluating information data through a preset hydrologic geological risk evaluation model to obtain a hydrologic geological risk evaluation coefficient;

correcting the pressure stress variable characteristic data and the load kinetic energy variable characteristic data corresponding to each information monitoring area according to the dam body ring-change induction factor and the hydrogeological risk evaluation coefficient to obtain a dam body material state change risk detection index;

correcting the deformation variable characteristic data according to the dam body ring-change induction factor and the hydrogeological risk evaluation coefficient to obtain a dam body shape variation risk evaluation index;

and weighting according to the dam body state change risk detection index and the dam body position change risk assessment index and combining the similar sample dam body risk assessment indexes to obtain dam body risk condition identification data, and comparing the dam body risk condition identification data with a preset dam body risk condition assessment threshold value to judge the risk condition of the dam body.

Optionally, in the edge calculation-based solution method of the beidou GNSS receiver according to the embodiment of the present application, extracting dam object state variable feature data corresponding to each information monitoring area according to the dam object state monitoring information, including compressive stress variable feature data and load kinetic energy variable feature data, and extracting deformation position variable feature data according to the dam object state change monitoring information includes:

extracting dam object state variable characteristic data corresponding to each information monitoring area according to the dam object state monitoring information, wherein the dam object state variable characteristic data comprises compressive stress variable characteristic data and load kinetic energy variable characteristic data;

the pressure stress variable characteristic data comprise dam soil base pressure distribution differential data and dam steel base pressure distribution differential data, and the load kinetic energy variable characteristic data comprise sediment impact pressure change data, dam base vibration kinetic energy change data and dam base line load distribution change data;

and extracting deformation variable characteristic data according to the dam body shape and position change monitoring information, wherein the deformation variable characteristic data comprise contour line displacement change data, datum line deviation degree data, deflection change data and baseline inclination angle change data.

Optionally, in the edge calculation-based Beidou GNSS receiver calculating method according to the embodiment of the present application, extracting dam dynamic ring-change feature data in the preset time period according to the dam ring condition monitoring information, obtaining a dam ring-change history similar feature sample according to the dam dynamic ring-change feature data, and extracting a dam risk assessment index corresponding to the similar sample, including:

Extracting dam dynamic ring change characteristic data in the preset time period according to the dam ring condition monitoring information;

the dam body dynamic ring-changing characteristic data comprise monitoring time node data, water temperature difference change data, water level difference change data and atmospheric temperature and humidity change data;

obtaining dam body ring-change history similar feature samples with maximum similarity through a preset dam body monitoring information platform database according to the dam body dynamic ring-change feature data;

and extracting dam risk assessment indexes of the corresponding similar samples according to the dam ring transition history similar characteristic samples.

Optionally, in the edge calculation-based Beidou GNSS receiver calculating method of the embodiment of the present application, the processing according to the dam dynamic ring-change feature data by a preset dam ring-change incentive evaluation model to obtain a dam ring-change induction factor includes:

processing the water temperature difference change data, the water level difference change data and the atmospheric temperature and humidity change data through a preset dam ring change incentive evaluation model to obtain a dam ring change induction factor;

the program formula of the preset dam body ring variation incentive evaluation model is as follows:

；

wherein,is a dam body ring change induction factor +. >、/>、/>Respectively water temperature difference change data, water level difference change data and atmospheric temperature humidity change data, +.>、/>、/>Is a preset characteristic coefficient.

Optionally, in the edge calculation-based beidou GNSS receiver calculating method of the embodiment of the present application, the acquiring, by the beidou GNSS receiver, the hydrogeological information monitoring information of the area where the dam is located in the preset time period, and evaluating the information data by a preset hydrogeological risk evaluation model, to obtain a hydrogeological risk evaluation coefficient includes:

acquiring hydrogeologic information monitoring information of the area where the dam body is located in the preset time period through the Beidou GNSS receiver;

extracting hydrogeologic monitoring alarm data according to the hydrogeologic information monitoring information, wherein the hydrogeologic monitoring alarm data comprises storm level monitoring data, earthquake level monitoring data and flow velocity level alarm monitoring data;

processing the storm magnitude monitoring data, the earthquake magnitude monitoring data and the flow velocity magnitude alarm monitoring data through a preset hydrogeologic risk evaluation model to obtain a hydrogeologic risk evaluation coefficient of an area where a dam body is located in the preset time period;

the program formula of the preset hydrogeological risk evaluation model is as follows:

；

Wherein,for hydrogeological risk assessment coefficient, +.>、/>、/>Respectively, storm magnitude monitoring data, flow velocity level alarm monitoring data and earthquake magnitude monitoring data, +.>For the geological disaster risk preset value of the preset area, < +.>、/>、/>Is a preset characteristic coefficient.

Optionally, in the edge calculation-based beidou GNSS receiver calculating method according to the embodiment of the present application, the correcting the compressive stress variable feature data and the load kinetic energy variable feature data corresponding to each information monitoring area according to the dam body ring-change induction factor and the hydrogeological risk evaluation coefficient to obtain a dam body state change risk detection index includes:

performing aggregation processing according to the dam soil base pressure distribution variation data, the dam steel base stress distribution variation data, the sediment impact pressure variation data, the dam vibration kinetic energy variation data and the dam base line load distribution variation data corresponding to the information monitoring areas, and obtaining dam stress load capacity assessment data of the dam in the preset time period;

correcting the dam stress load capacity measurement and evaluation data according to the dam body ring-change induction factor and the hydrogeological risk measurement and evaluation coefficient to obtain a dam body state quality change risk detection index;

The correction calculation formula of the dam body state change risk detection index is as follows:

；

wherein,for dam body physical state change risk detection index, < +.>For dam stress load capacity evaluation data, < +.>Is a dam body ring change induction factor +.>For hydrogeological risk assessment coefficient, +.>、/>Is a preset characteristic coefficient.

Optionally, in the edge calculation-based Beidou GNSS receiver calculating method of the embodiment of the present application, the correcting the deformation and position variable feature data according to the dam body ring-change induction factor and the hydrogeological risk evaluation coefficient to obtain a dam body shape variation risk assessment index includes:

correcting the profile line displacement change data, the datum line deviation degree data, the deflection change data and the baseline inclination angle change data according to the dam body ring change induction factor and the hydrogeological risk evaluation coefficient to obtain a dam body deformation risk evaluation index;

the correction calculation formula of the dam body position variation risk assessment index is as follows:

；

wherein,assessment index for dam body position variation risk, < ->Is a dam body ring change induction factor +.>For hydrogeological risk assessment coefficient, +.>、/>、/>、/>Profile displacement variation data, baseline deviation data, deflection variation data, baseline tilt angle variation data, +. >、/>、/>、/>、/>、/>Is a preset characteristic coefficient.

Optionally, in the edge calculation-based Beidou GNSS receiver calculating method according to the embodiment of the present application, the weighting processing is performed by combining the dam risk assessment index of the similar sample according to the dam object state change risk detection index and the dam shape and position change risk assessment index to obtain dam risk condition identification data, and the threshold value comparison is performed with a preset dam risk condition assessment threshold value, so as to determine the risk condition of the dam, including:

weighting according to the dam body state change risk detection index and the dam body position change risk assessment index and the dam body risk assessment index of the similar sample to obtain dam body risk condition identification data;

threshold comparison is carried out according to the dam risk condition identification data and a preset dam risk condition evaluation threshold value, and a threshold comparison result is obtained;

judging the risk condition of the dam body in the preset time period according to the threshold value comparison result;

the weighted calculation formula of the dam risk condition identification data is as follows:

；

wherein,identifying data for dam risk status +.>For dam body physical state change risk detection index, < +. >Assessment index for dam body position variation risk, < ->The dam risk assessment index for similar samples,/>、/>、/>is a preset characteristic coefficient.

In a second aspect, an embodiment of the present application provides a beidou GNSS receiver resolving system based on edge computation, where the system includes: the processor is used for executing the following steps of:

Optionally, in the beidou GNSS receiver calculating system based on edge calculation according to the embodiment of the present application, extracting dam object state variable feature data corresponding to each information monitoring area according to the dam object state monitoring information, including compressive stress variable feature data and load kinetic energy variable feature data, and extracting deformation position variable feature data according to the dam object state change monitoring information includes:

As can be seen from the above, according to the edge calculation-based Beidou GNSS receiver calculating method and system provided by the embodiment of the application, the Beidou GNSS receiver is used for collecting monitoring information of dam state, dam state change and dam state ring condition, extracting feature data of dam state variable, dam state change and dam state dynamic ring change, obtaining a dam risk assessment index of a historical similar feature sample, obtaining a dam state ring change induction factor according to dam state dynamic ring change feature data processing, obtaining a hydrogeological risk evaluation coefficient through collecting hydrogeological information monitoring information data evaluation of a dam region in a time period, respectively correcting feature data of each dam state variable according to the dam state ring change induction factor and the hydrogeological risk evaluation coefficient to obtain a dam state change risk detection index and a dam state change risk assessment index, and obtaining dam state risk state change risk assessment index according to the index, and comparing and judging the risk state of a dam through a preset threshold value; therefore, the information data collected by the receiver is calculated and evaluated, and the risk evaluation judging technology is realized according to the monitoring information data of the dam body and the environment.

Additional features and advantages of the application will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the embodiments of the application. The objectives and other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and drawings.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and should not be considered as limiting the scope, and other related drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a flowchart of a Beidou GNSS receiver resolving method based on edge computation according to an embodiment of the present application;

fig. 2 is a flowchart of a Beidou GNSS receiver calculating method based on edge calculation for obtaining dam object state variable feature data and deformation position variable feature data according to an embodiment of the present application;

fig. 3 is a flowchart of a method for obtaining dam risk assessment indexes of dynamic ring-changing feature data and similar samples of a dam according to the Beidou GNSS receiver calculating method based on edge calculation provided by the embodiment of the present application;

Fig. 4 is a schematic structural diagram of a beidou GNSS receiver calculating system based on edge calculation according to an embodiment of the present application.

Detailed Description

The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present application.

It should be noted that like reference numerals and letters refer to like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.

Referring to fig. 1, fig. 1 is a flowchart of a Beidou GNSS receiver calculating method based on edge calculation according to some embodiments of the present application. The Beidou GNSS receiver resolving method based on the edge calculation is used in terminal equipment, such as a computer, a mobile phone terminal and the like. The Beidou GNSS receiver resolving method based on edge calculation comprises the following steps:

s101, acquiring a plurality of preset information monitoring areas of a dam body, and acquiring dam body state monitoring information, dam body shape and position change monitoring information and dam body ring condition monitoring information of the dam body in a preset time period by a Beidou GNSS receiver;

s102, extracting dam object state variable characteristic data corresponding to each information monitoring area according to the dam object state monitoring information, wherein the dam object state variable characteristic data comprises compressive stress variable characteristic data and load kinetic energy variable characteristic data, and extracting deformation position variable characteristic data according to the dam object state change monitoring information;

s103, extracting dam dynamic ring-change characteristic data in the preset time period according to the dam ring-condition monitoring information, acquiring dam ring-change history similar characteristic samples according to the dam dynamic ring-change characteristic data, and extracting dam risk assessment indexes corresponding to the similar samples;

S104, processing according to the dynamic ring-change characteristic data of the dam body through a preset dam body ring-change incentive evaluation model to obtain a dam body ring-change induction factor;

s105, acquiring hydrogeologic information monitoring information of the area where the dam body is located in the preset time period through the Beidou GNSS receiver, and evaluating information data through a preset hydrogeologic risk evaluation model to obtain a hydrogeologic risk evaluation coefficient;

s106, correcting the pressure stress variable characteristic data and the load kinetic energy variable characteristic data corresponding to each information monitoring area according to the dam body ring-change induction factor and the hydrogeological risk evaluation coefficient to obtain a dam body physical state quality change risk detection index;

s107, correcting the deformation variable characteristic data according to the dam body ring transformation induction factor and the hydrogeological risk evaluation coefficient to obtain a dam body deformation risk assessment index;

s108, weighting according to the dam body state change risk detection index and the dam body shape and position change risk assessment index and combining the similar sample dam body risk assessment indexes to obtain dam body risk condition identification data, and comparing the dam body risk condition identification data with a preset dam body risk condition assessment threshold value to judge the risk condition of the dam body.

It should be noted that, in order to evaluate the risk condition of the dam, the comprehensive monitoring platform based on the Beidou GNSS receiver and the sensor obtains the material form, form displacement, environmental condition and hydrogeological condition information of the dam in a certain period of time, calculates and evaluates the collected information through a preset calculation method of edge calculation, obtains the sensing information of the dam in the aspects of pressure, load, displacement, form, temperature, dam environment, geological river and the like, extracts corresponding characteristic data, calculates and evaluates various characteristic data through an edge calculation mode, obtains corresponding various evaluation results, evaluates the dam condition according to the data obtained by collecting various monitoring information, realizes the technology of performing risk evaluation and judgment through an edge calculation model method according to the various monitoring information data of the dam obtained by the receiver platform, specifically, various types of information are collected through information monitoring areas of a plurality of preset dams, the preset detection areas are detection areas which are preset according to dam design structures and are used for distributing and collecting various signals such as pressure, load, temperature and flow speed, the detection areas are transmitted to a Beidou GNSS receiver comprehensive collection detection platform, dam body state monitoring information distributed in all areas, dam body shape and position change monitoring information and dam body ring condition monitoring information of the whole dam body are obtained, the physical state of the dam body areas, the state displacement change and the environmental condition of the whole dam body are reflected, the corresponding dam body state variable characteristic data comprise pressure stress variable characteristic data, load kinetic energy variable characteristic data, shape and position variable characteristic data, and dam body dynamic ring change characteristic data, namely, the dam body physical state local change quantity, the shape displacement change, the dam body dynamic ring change characteristic data are respectively extracted from the various information, the dynamic change data of the environmental condition is obtained through a historical sample database according to the dynamic ring change characteristic data of the dam body, the characteristic sample with the maximum ring change historical similarity of the dam body is obtained, the dam body risk assessment index corresponding to the maximum similar sample is extracted, the dam body ring change induction factor is obtained through processing according to the dynamic ring change characteristic data of the dam body through a preset dam body ring change incentive assessment model, namely, the interference correction factor of the influence condition quantity of the environmental change condition on the dam body is assessed, meanwhile, the hydrological information monitoring information of the area of the dam body, which is sent by a relevant third party platform, in the time period is remotely collected through a Beidou GNSS receiver integral platform, namely, the shared monitoring information of the area of the dam body, which influences the dam body state, such as the hydrological change, is carried out, and the shared hydrological information data is assessed through a preset hydrological risk assessment model to obtain the hydrological risk assessment coefficient, the method comprises the steps of carrying out correction processing on the pressure stress variable characteristic data, the load kinetic energy variable characteristic data and the shape and position variable characteristic data of each area according to the dam body ring transition induction factor and the hydrogeologic risk evaluation coefficient to obtain a dam body state change risk detection index and a dam body shape and position change risk evaluation index respectively, namely calculating the detection evaluation influence degree result of the dam body environment condition change condition and the hydrogeologic change condition on the abnormal risk change condition of the dam body physical state and form displacement, carrying out weighting processing according to the dam body state change risk detection index and the dam body shape and position change risk evaluation index combined to obtain the maximum similar sample dam body risk evaluation index, obtaining dam risk condition identification data, namely obtaining evaluation result data reflecting the dam risk condition through comprehensive evaluation, finally carrying out threshold comparison according to the identification data and a preset dam risk condition evaluation threshold value, judging the dam risk condition according to a threshold comparison result, and realizing the technology of obtaining various monitoring information data related to the dam by an information acquisition processing platform based on a Beidou GNSS receiver and carrying out dam risk evaluation by an edge calculation model method.

Referring to fig. 2, fig. 2 is a flowchart of a method for obtaining dam body state variable feature data and shape and position variable feature data according to a Beidou GNSS receiver calculating method based on edge calculation according to some embodiments of the present application. According to the embodiment of the application, the dam object state variable characteristic data corresponding to each information monitoring area is extracted according to the dam object state monitoring information, including compressive stress variable characteristic data and load kinetic energy variable characteristic data, and the deformation variable characteristic data is extracted according to the dam object state change monitoring information, specifically:

s201, extracting dam object state variable characteristic data corresponding to each information monitoring area according to the dam object state monitoring information, wherein the dam object state variable characteristic data comprises compressive stress variable characteristic data and load kinetic energy variable characteristic data;

s202, the pressure stress variable characteristic data comprise dam body soil base pressure distribution differential data and dam body steel base pressure distribution differential data, and the load kinetic energy variable characteristic data comprise sediment impact pressure change data, dam base vibration kinetic energy change data and dam base line load distribution change data;

s203, extracting shape and position variable characteristic data according to the dam shape and position change monitoring information, wherein the shape and position variable characteristic data comprise profile line displacement change data, datum line deviation degree data, deflection change data and baseline inclination angle change data.

In order to obtain the evaluation of the risk condition of the dam, firstly, acquiring the information related to the dam body in a plurality of aspects of material form, form displacement, environmental condition and hydrogeology condition of the area where the dam body is positioned in a certain time period based on a comprehensive monitoring platform of the Beidou GNSS receiver and the sensor, acquiring related parameter information through a plurality of information monitoring and collecting areas preset by the dam body, wherein the preset area is a distribution area which is arranged according to the specific structure and monitoring requirements of the dam body and can be used for collecting the dam body in the aspects of the structure, displacement, baseline state, pressure, temperature, water flow, load and the like of the dam body, acquiring the distribution change condition of the related parameters of the dam body through the distribution monitoring areas, acquiring the monitoring information of the dam body state of each information monitoring area in the preset time period through the Beidou GNSS receiver and a main platform thereof, and dam body shape and position change monitoring information and dam body ring condition monitoring information of the dam body are obtained, namely, the monitoring information obtained from the monitoring area is obtained through a platform computer so as to further obtain relevant change data according to information extraction, then dam body state variable characteristic data corresponding to each information monitoring area is extracted according to the dam body state monitoring information, wherein the dam body state variable characteristic data comprise pressure stress variable characteristic data and load kinetic energy variable characteristic data, namely, the characteristic data for distributing the dam body physical state change of the monitoring area, namely, the dam body physical state change comprises the characteristic data of the internal pressure, the change amount of stress and the change amount of the load and kinetic energy of the dam body, the pressure stress variable characteristic data comprise the pressure difference change data of the pressure distribution points of the preset monitoring area of the dam body civil engineering foundation and the stress difference change data of the stress distribution points of the dam body steel construction foundation such as a steel structure frame body, the load kinetic energy variable characteristic data comprise change data of impact pressure of sediment in each monitoring area on the dam body, kinetic energy change data of vibration received by the dam foundation and change data of load distribution of the dam foundation line, and the deformation variable characteristic data, namely variable data of dam body shape displacement, are extracted according to dam body shape change monitoring information, wherein the deformation variable characteristic data comprise inching displacement change data of the contour line, inching deviation degree data of the dam body reference line, deflection change data of the dam body and micro change data of inclination angle of the foundation line.

Referring to fig. 3, fig. 3 is a flowchart of a method for obtaining dam risk assessment indexes of dam dynamic ring-change feature data and similar samples according to the Beidou GNSS receiver calculating method based on edge calculation in some embodiments of the present application. According to the embodiment of the application, the dam dynamic ring-change characteristic data in the preset time period is extracted according to the dam ring-condition monitoring information, the dam ring-change history similar characteristic sample is obtained according to the dam dynamic ring-change characteristic data, and the dam risk assessment index corresponding to the similar sample is extracted, specifically:

s301, extracting dam dynamic ring-change characteristic data in the preset time period according to the dam ring condition monitoring information;

s302, the dam dynamic ring-changing characteristic data comprise monitoring time node data, water temperature difference change data, water level difference change data and atmospheric temperature and humidity change data;

s303, acquiring a dam body ring change history similar characteristic sample with the maximum similarity through a preset dam body monitoring information platform database according to the dam body dynamic ring change characteristic data;

s304, extracting dam risk assessment indexes of the corresponding similar samples according to the dam ring transition history similar characteristic samples.

It should be noted that, when receiving the relevant monitoring information data of the pressure stress load distribution and the shape displacement of the monitored and perceived dam, the method also obtains the condition monitoring information of the environment where the dam is located so as to obtain the change data of the environment condition where the dam is located in the time period, extracts the characteristic data of the dynamic environment change of the dam in the preset time period according to the dam environment condition monitoring information, including the time node of monitoring information pickup, the change data of the water temperature difference of the water layer at the upstream and downstream of the dam, the change data of the water level difference at the upstream and downstream of the dam and the change data of the atmospheric temperature and humidity of the environment where the dam is located, in order to obtain the accurate evaluation of the dam condition, takes the risk assessment result of the dam history monitoring sample under the condition of the most similar to be referred to, so as to calibrate the condition assessment result of the dam at present, obtains the dam ring change history similarity characteristic sample with the greatest similarity according to the dam environment condition monitoring information platform database, compares the similarity with the similarity of the sample data by adopting the similarity or the similarity of the similarity, and extracts the corresponding risk index of the dam change history similarity sample as the current risk index.

According to the embodiment of the invention, the dam body dynamic ring-change characteristic data is processed by a preset dam body ring-change incentive evaluation model to obtain a dam body ring-change induction factor, which is specifically as follows:

；

wherein,is dam body ring mutation mutagenesisGuide factor (F)>、/>、/>Respectively water temperature difference change data, water level difference change data and atmospheric temperature humidity change data, +.>、/>、/>And the characteristic coefficient is preset (the characteristic coefficient is obtained by inquiring a database of a preset dam monitoring information platform).

It should be noted that, in order to evaluate the influence condition of the environmental condition change data monitored in the current period of the dam on the dam condition, the calculation processing is performed according to the obtained dynamic ring-change feature data of the dam through the preset program calculation formula of the dam ring-change incentive evaluation model set by the platform, so as to obtain the dam ring-change induction factor, that is, the interference correction factor of the influence condition of the environmental change on the dam is evaluated, and factor compensation is performed for further evaluating the dam risk condition.

According to the embodiment of the invention, the Beidou GNSS receiver collects the hydrogeologic information monitoring information of the area where the dam body is located in the preset time period, and evaluates the information data through a preset hydrogeologic risk evaluation model to obtain a hydrogeologic risk evaluation coefficient, which is specifically as follows:

；

wherein,for hydrogeological risk assessment coefficient, +.>、/>、/>Respectively, storm magnitude monitoring data, flow velocity level alarm monitoring data and earthquake magnitude monitoring data, +. >For the geological disaster risk preset value of the preset area, < +.>、/>、/>The characteristic coefficient is preset (the regional geological disaster risk preset value and the characteristic coefficient are obtained through inquiring a preset hydrogeologic monitoring platform database).

It should be noted that, the safety condition of the dam is affected by the physical condition of the dam and the environment, and is affected by the geological stability and the storm flood impact in the range of the preset area of the dam, so that the hydrogeologic condition of the dam in the range of the preset area is also required to be monitored and relevant data are collected for evaluation and consideration, the hydrogeologic information monitoring information, which is sent by the relevant third party platform, of the preset area of the dam in the time period is remotely collected in real time through the platform of the Beidou GNSS receiver, namely the sharing monitoring information of the hydrogeology of the area of the dam, and the hydrogeologic monitoring alarm data, including the monitoring data of the storm level, the monitoring data of the earthquake level and the level alarm monitoring data of the upstream incoming water flow velocity, are extracted, and then the hydrogeologic monitoring alarm data is evaluated through the program calculation formula of the hydrogeologic risk evaluation model preset by the receiver platform, so that the hydrogeologic risk evaluation coefficient is obtained, and the evaluation data of the risk influence degree generated by the dam is evaluated in real time according to the hydrogeologic real time change condition in the time period.

According to the embodiment of the invention, the correction processing is performed on the compressive stress variable characteristic data and the load kinetic energy variable characteristic data corresponding to each information monitoring area according to the dam body ring-change induction factor and the hydrogeological risk evaluation coefficient to obtain a dam body physical state quality change risk detection index, which is specifically as follows:

；

wherein,for dam body physical state change risk detection index, < +.>For dam stress load capacity evaluation data, < +.>Is a dam body ring change induction factor +.>For hydrogeological risk assessment coefficient, +. >、/>And the characteristic coefficient is preset (the characteristic coefficient is obtained by inquiring a database of a preset dam monitoring information platform).

It should be noted that, in order to evaluate the influence condition of the environmental change element and the hydrogeological risk condition element on the physical stability of the dam under the action of the compressive stress load, that is, the influence condition of the environment and the hydrogeological on the physical state stability of the dam under the action of the compressive stress load, the physical stability condition of the dam under the action of the stress and the impact is evaluated, the corresponding compressive stress variable feature data and the corresponding load kinetic energy variable feature data of each information monitoring area are evaluated according to the dam ring change induction factor and the hydrogeological risk evaluation coefficient, the obtained dam stress load measurement data are corrected, the dam stress load measurement data are measurement results reflecting the compressive stress and the load kinetic energy action of the dam in a time period, and the dam state quality change risk detection index obtained after correction is the influence degree of the calculated dam environmental condition change and the hydrogeological change on the quality change risk of the dam physical stability; the calculation formula of the dam stress load capacity evaluation data is as follows:

；

Wherein,for dam stress load capacity evaluation data, < +.>、/>Dam soil base pressure distribution differential data and dam steel base stress distribution differential data of the ith information monitoring area respectively are +.>、/>、/>Respectively being sediment impact pressure change data, dam foundation vibration kinetic energy change data and dam foundation line load distribution change data of the ith information monitoring area, n being the number of the information monitoring areas, and +.>For the geological disaster risk preset value of the preset area, < +.>、/>、/>、/>、/>Is a preset characteristic coefficient.

According to the embodiment of the invention, the deformation and position variable characteristic data is corrected according to the dam body ring deformation induction factor and the hydrogeological risk evaluation coefficient to obtain a dam body deformation risk assessment index, which is specifically as follows:

；

wherein,assessment index for dam body position variation risk, < ->Is a dam body ring change induction factor +. >For hydrogeological risk assessment coefficient, +.>、/>、/>、/>Profile displacement variation data, baseline deviation data, deflection variation data, baseline tilt angle variation data, +.>、/>、/>、/>、/>、/>And the characteristic coefficient is preset (the characteristic coefficient is obtained by inquiring a database of a preset dam monitoring information platform).

It should be noted that, in order to evaluate the influence of the environmental change condition and the influence of the hydrogeologic risk condition on the abnormal change risk of the morphological displacement of the dam, that is, the influence of the environmental and the hydrogeologic condition on the abnormal change degree of the micro-deformation displacement of the dam, the abnormal risk condition of the environmental and the hydrogeologic condition on the micro-displacement of the dam under the impact of the stress is evaluated, the deformation variable characteristic data of the dam is modified according to the dam ring change induction factor and the hydrogeologic risk evaluation coefficient, so as to obtain the dam position change risk evaluation index, that is, the influence degree of the dam environmental condition change and the hydrogeologic change on the abnormal risk of the dam shape displacement is calculated.

According to the embodiment of the invention, the dam risk condition identification data is obtained by weighting the dam risk assessment indexes according to the dam object state change risk detection indexes and the dam object state change risk assessment indexes and combining the dam object risk assessment indexes of the similar samples, and the dam risk condition is judged by comparing the dam object risk identification data with a preset dam object risk condition assessment threshold value, specifically:

；

wherein,identifying data for dam risk status +.>For dam body physical state change risk detection index, < +.>Assessment index for dam body position variation risk, < ->Dam risk assessment index for similar samples, +.>、/>、/>And the characteristic coefficient is preset (the characteristic coefficient is obtained by inquiring a database of a preset dam monitoring information platform).

Finally, in order to evaluate the overall risk condition of the dam, weighting is performed according to the risk assessment index of the maximum similar sample dam obtained by combining the dam state change risk detection index and the dam shape and position change risk assessment index to obtain dam risk condition identification data, namely, evaluation result data reflecting the dam risk condition is obtained by comprehensively evaluating all indexes, finally, threshold comparison is performed according to the identification data and a preset dam risk condition evaluation threshold, the risk condition of the dam is judged according to the threshold comparison result, if the threshold comparison result meets the threshold comparison requirement of the preset dam risk condition evaluation threshold, the dam risk condition is safe, otherwise, the dam has abnormal risk, further warning is needed, and therefore the technology of dam risk condition evaluation by an edge calculation model method is realized after the information acquisition processing platform based on the Beidou GNSS receiver acquires various monitoring information data related to the dam.

As shown in fig. 4, the invention also discloses a beidou GNSS receiver resolving system 4 based on edge calculation, which comprises a memory 41 and a processor 42, wherein the memory comprises a beidou GNSS receiver resolving method program based on edge calculation, and when the beidou GNSS receiver resolving method program based on edge calculation is executed by the processor, the following steps are implemented:

According to the embodiment of the invention, the dam object state variable characteristic data corresponding to each information monitoring area is extracted according to the dam object state monitoring information, including compressive stress variable characteristic data and load kinetic energy variable characteristic data, and the deformation variable characteristic data is extracted according to the dam object state change monitoring information, specifically:

According to the embodiment of the invention, the dam dynamic ring-change characteristic data in the preset time period is extracted according to the dam ring-condition monitoring information, the dam ring-change history similar characteristic sample is obtained according to the dam dynamic ring-change characteristic data, and the dam risk assessment index corresponding to the similar sample is extracted, specifically:

；

wherein,is a dam body ring change induction factor +.>、/>、/>Respectively water temperature difference change data, water level difference change data and atmospheric temperature humidity change data, +.>、/>、/>And the characteristic coefficient is preset (the characteristic coefficient is obtained by inquiring a database of a preset dam monitoring information platform).

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According to the Beidou GNSS receiver calculating method and system based on edge calculation, the Beidou GNSS receiver is used for collecting monitoring information of dam object state, dam object position change and dam object ring condition, extracting feature data of dam object state variables, dam object position change and dam object dynamic ring change, obtaining dam object risk assessment indexes of historical similar feature samples, obtaining dam object ring change induction factors according to dam object dynamic ring change feature data processing, obtaining hydrogeological risk assessment coefficients through collecting hydrogeological information monitoring information data assessment of a dam object area in a time period, correcting the feature data of each dam object state variable and the feature data of each shape position variable according to the dam object ring change induction factors and the hydrogeological risk assessment coefficients to obtain dam object state change risk detection indexes and dam object position change risk assessment indexes, and obtaining dam object risk condition assessment data according to index combination similar sample dam object risk assessment index weighting, and comparing and judging the risk condition of a dam object through a preset threshold value; therefore, the information data collected by the receiver is calculated and evaluated, and the risk evaluation judging technology is realized according to the monitoring information data of the dam body and the environment.

In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.

The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.

Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.

Alternatively, the above-described integrated units of the present invention may be stored in a readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solution of the embodiments of the present invention 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 invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.

Claims

1. The Beidou GNSS receiver resolving method based on edge calculation is characterized by comprising the following steps of:

weighting according to the dam body state change risk detection index and the dam body position change risk assessment index and combining the similar sample dam body risk assessment indexes to obtain dam body risk condition identification data, and comparing the dam body risk condition identification data with a preset dam body risk condition assessment threshold value to judge the risk condition of the dam body;

the extracting dam object state variable characteristic data corresponding to each information monitoring area according to the dam object state monitoring information, including compressive stress variable characteristic data and load kinetic energy variable characteristic data, extracting deformation position variable characteristic data according to the dam object state change monitoring information, including:

2. The edge calculation-based Beidou GNSS receiver solving method of claim 1, wherein the extracting dam dynamic ring change feature data in the preset time period according to the dam ring condition monitoring information, obtaining dam ring change history similar feature samples according to the dam dynamic ring change feature data, and extracting dam risk assessment indexes corresponding to the similar samples includes:

3. The edge calculation-based Beidou GNSS receiver solving method of claim 2, wherein the processing according to the dam dynamic ring-change characteristic data through a preset dam ring-change incentive evaluation model to obtain a dam ring-change induction factor comprises the following steps:

；

wherein,is a dam body ring change induction factor +.>、/>、/>Respectively water temperature difference change data, water level difference change data and atmospheric temperature humidity change data, +.>、/>、/>Is a preset characteristic coefficient.

4. The edge calculation-based Beidou GNSS receiver resolving method of claim 3, wherein the acquiring, by the Beidou GNSS receiver, the hydrogeologic intelligence monitoring information of the area of the dam in the preset time period, and evaluating the information data by a preset hydrogeologic risk evaluation model, obtaining a hydrogeologic risk evaluation coefficient includes:

；

5. The edge calculation-based Beidou GNSS receiver solving method of claim 4, wherein the correcting the compressive stress variable characteristic data and the load kinetic energy variable characteristic data corresponding to each information monitoring area according to the dam body ring transition induction factor and the hydrogeological risk evaluation coefficient to obtain a dam body state change risk detection index includes:

；

6. The edge calculation-based Beidou GNSS receiver solving method of claim 5, wherein the correcting the deformation variable characteristic data according to the dam body ring transformation induction factor and the hydrogeologic risk evaluation coefficient to obtain a dam body deformation risk assessment index comprises the following steps:

；

wherein,assessment index for dam body position variation risk, < ->Is a dam body ring change induction factor +.>For hydrogeological risk assessment coefficient, +.>、/>、/>、/>Profile displacement variation data, baseline deviation data, deflection variation data, baseline tilt angle variation data, +.>、/>、/>、/>、/>、/>Is a preset characteristic coefficient.

7. The edge calculation-based Beidou GNSS receiver solving method of claim 6, wherein the weighting processing is performed by combining the dam risk assessment index of the similar sample according to the dam object state change risk detection index and the dam shape and position change risk assessment index to obtain dam risk condition identification data, and the threshold comparison is performed with a preset dam risk condition assessment threshold, so as to judge the risk condition of the dam, and the method comprises the following steps:

；

wherein,identifying data for dam risk status +.>For dam body physical state change risk detection index, < +.>Assessment index for dam body position variation risk, < ->Dam risk assessment index for similar samples, +.>、/>、/>Is a preset characteristic coefficient.

8. Beidou GNSS receiver resolving system based on edge calculation, which is characterized by comprising: the processor is used for executing the following steps of:

9. The edge calculation-based beidou GNSS receiver resolving system of claim 8, wherein the extracting dam object state variable feature data corresponding to each information monitoring area according to the dam object state monitoring information includes compressive stress variable feature data and load kinetic energy variable feature data, and extracting shape and position variable feature data according to the dam object state change monitoring information includes: