CN114842620A - Natural gas line unattended geological disaster hidden danger point monitoring and early warning system - Google Patents
Natural gas line unattended geological disaster hidden danger point monitoring and early warning system Download PDFInfo
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- CN114842620A CN114842620A CN202210563733.0A CN202210563733A CN114842620A CN 114842620 A CN114842620 A CN 114842620A CN 202210563733 A CN202210563733 A CN 202210563733A CN 114842620 A CN114842620 A CN 114842620A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/10—Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes
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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
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/002—Generating a prealarm to the central station
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A50/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather
Abstract
The invention discloses a natural gas pipeline unattended geological disaster hidden danger point monitoring and early warning system which comprises a plurality of integrated monitoring and sensing devices, wherein the integrated monitoring and sensing devices are respectively arranged in a plurality of geological disaster hidden danger points contained in a selected natural gas pipeline unattended region one by one; the integrated monitoring and sensing equipment is in communication connection with the monitoring platform; and the alarm platform is in communication connection with the monitoring platform. The natural gas pipeline unattended geological disaster hidden danger point monitoring and early warning system provided by the embodiment of the application develops a geological disaster forecasting and early warning model by establishing the geological disaster professional monitoring points, establishes a geological disaster professional early warning system, timely masters the deformation rule of the disaster hidden danger points, forecasts the disaster stability condition, and effectively prevents the damage of geological disasters such as landslide, debris flow and the like to the high back fruit area of the pipeline.
Description
Technical Field
The invention relates to the technical field of early warning equipment, in particular to a natural gas pipeline unattended region geological disaster hidden danger point monitoring and early warning system.
Background
The natural gas pipeline refers to a pipeline for conveying natural gas (including associated gas produced by an oil field) from a mining place or a processing plant to a city gas distribution center or an industrial enterprise user, and is also called a gas transmission pipeline. The natural gas pipeline is used for conveying natural gas, and is a way for conveying a large amount of natural gas on land.
At present, dangerous hazards such as invasion and residence in a high-consequence area, damage caused by a third party, damage caused by a geological disaster and the like exist in a partial area of a long-distance natural gas pipeline, and the safety of the pipeline and the lives and properties of people is threatened. Preliminary investigation in earlier stage discovers that pipe network companies set patrolling personnel for each area, but because of factors such as long lines, poor road conditions, time difference existing in patrolling and the like, the behaviors of damaging the pipelines are difficult to discover and stop in time, and evidence obtaining work after the accident becomes extremely difficult due to the lack of effective technical means.
The occurrence of geological disasters has the characteristics of strong burst property and great destructiveness, and the consequences of natural gas pipeline accidents caused by the geological disasters are very serious. How to prevent or reduce the damage of the pipeline caused by the address disaster by means of the modern monitoring technology is very important.
Disclosure of Invention
The invention provides a natural gas pipeline unattended geological disaster hidden danger point monitoring and early warning system.
The invention provides the following scheme:
the utility model provides a natural gas line unattended operation geological disaster hidden danger point monitoring early warning system, includes:
the integrated monitoring and sensing devices are respectively and one-by-one distributed in a plurality of geological disaster hidden danger points contained in the selected natural gas pipeline unattended region;
the integrated monitoring and sensing equipment is in communication connection with the monitoring platform;
the alarm platform is in communication connection with the monitoring platform;
the monitoring platform is used for judging whether the data information reaches an early warning value and an alarm value according to the received data information collected by each integrated monitoring and sensing device, generating alarm information of a corresponding alarm type according to the data information when the data information is judged to reach the early warning value and the alarm value, and sending the alarm information to the alarm platform; so that the alarm platform can send out corresponding alarm according to the alarm information.
Preferably: the data information includes surface displacement monitoring data and/or landslide monitoring data.
Preferably: and acquiring three-dimensional coordinate changes of the corresponding geological disaster hidden danger points relative to the reference points in real time through the integrated monitoring and sensing equipment, so as to obtain the deformation of the deformation body and form the earth surface displacement monitoring data.
Preferably: carrying out absolute displacement monitoring, relative displacement monitoring, stress strain monitoring, meteorological change monitoring, ground stress monitoring, local deformation monitoring and macroscopic ground sound monitoring on the hidden danger points of the geological disaster through the integrated monitoring and sensing equipment; and judging and obtaining the collapse monitoring data by taking the monitoring information of the deformation rate, the acceleration and the critical displacement value as criteria on the basis of deformation curve-time characteristics and macroscopic deformation damage signs according to the deformation evolution characteristics of collapse.
Preferably: the meteorological change monitoring comprises rainfall monitoring, snowfall monitoring, snow melting monitoring and air temperature monitoring.
Preferably: the alarm types comprise over-range alarm, data mutation alarm, water leakage alarm and approach range alarm.
Preferably: the alarm platform comprises user terminal equipment, and the monitoring platform is further used for sending the alarm information to the user terminal equipment.
Preferably: the alarm platform comprises acousto-optic alarm equipment, and the acousto-optic alarm equipment is arranged at a geological disaster hidden danger point; the monitoring platform is further used for sending the alarm information to the acousto-optic alarm equipment so that the acousto-optic alarm equipment can give an acousto-optic flicker alarm.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
according to the invention, the natural gas pipeline unattended geological disaster hidden danger point monitoring and early warning system can be realized, and in an implementation mode, the system can comprise a plurality of integrated monitoring and sensing devices which are respectively arranged in a plurality of geological disaster hidden danger points contained in a selected natural gas pipeline unattended region one by one; the integrated monitoring and sensing equipment is in communication connection with the monitoring platform; the alarm platform is in communication connection with the monitoring platform; the monitoring platform is used for judging whether the data information reaches an early warning value and an alarm value according to the received data information collected by each integrated monitoring and sensing device, generating alarm information of a corresponding alarm type according to the data information when the data information is judged to reach the early warning value and the alarm value, and sending the alarm information to the alarm platform; so that the alarm platform can send out corresponding alarm according to the alarm information. The natural gas pipeline unattended operation geological disaster hidden danger point monitoring and early warning system provided by the embodiment of the application is characterized in that the geological disaster monitoring equipment installation position is usually positioned at the top end or the bottom of the geological disaster hidden danger point, and the installation distance refers to the geological disaster monitoring equipment installation standard. By establishing the geological disaster professional monitoring points, developing a geological disaster forecasting and early warning model, establishing a geological disaster professional early warning system, grasping deformation rules of the disaster hidden danger points in time, forecasting disaster stability conditions, and effectively preventing geological disasters such as landslide, debris flow and the like from damaging high back fruit areas of the pipeline.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a natural gas pipeline unattended monitoring and early warning system for hidden danger points of geological disasters, provided by an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments that can be derived by one of ordinary skill in the art from the embodiments given herein are intended to be within the scope of the present invention.
Examples
Referring to fig. 1, the natural gas pipeline unattended monitoring and early warning system according to the embodiment of the present invention may include, as shown in fig. 1, a plurality of integrated monitoring and sensing devices 1, where the plurality of integrated monitoring and sensing devices 1 are respectively arranged in a plurality of geological disaster hidden danger points included in a selected natural gas pipeline unattended area one by one;
the monitoring platform 2 is used for communicating and connecting a plurality of integrated monitoring and sensing devices 1 with the monitoring platform 2 respectively;
the alarm platform 3 is in communication connection with the monitoring platform 2;
each integrated monitoring and sensing device 1 is used for acquiring data information corresponding to a geological disaster hidden danger point, the monitoring platform 2 is used for judging whether the data information reaches an early warning value and an alarm value according to the received data information acquired by each integrated monitoring and sensing device 1, and when the data information is judged to reach the early warning value and the alarm value, alarm information of a corresponding alarm type is generated according to the data information and is sent to the alarm platform 3; so that the alarm platform 3 can send out corresponding alarm according to the alarm information.
The natural gas pipeline unattended operation geological disaster hidden danger point monitoring and early warning system provided by the embodiment of the application is characterized in that the geological disaster monitoring equipment installation position is usually positioned at the top end or the bottom of the geological disaster hidden danger point, and the installation distance refers to the geological disaster monitoring equipment installation standard. By establishing the geological disaster professional monitoring points, developing a geological disaster forecasting and early warning model, establishing a geological disaster professional early warning system, grasping deformation rules of the disaster hidden danger points in time, forecasting disaster stability conditions, and effectively preventing geological disasters such as landslide, debris flow and the like from damaging high back fruit areas of the pipeline.
Specifically, the data information includes surface displacement monitoring data and/or collapse monitoring data. And acquiring three-dimensional coordinate changes of the corresponding geological disaster hidden danger points relative to the reference points in real time through the integrated monitoring and sensing equipment, so as to obtain the deformation of the deformation body and form the earth surface displacement monitoring data.
Carrying out absolute displacement monitoring, relative displacement monitoring, stress strain monitoring, meteorological change monitoring, ground stress monitoring, local deformation monitoring and macroscopic ground sound monitoring on the hidden danger points of the geological disaster through the integrated monitoring and sensing equipment; and judging and obtaining the collapse monitoring data by taking the monitoring information of the deformation rate, the acceleration and the critical displacement value as criteria on the basis of deformation curve-time characteristics and macroscopic deformation damage signs according to the deformation evolution characteristics of collapse. The meteorological change monitoring comprises rainfall monitoring, snowfall monitoring, snow melting monitoring and air temperature monitoring.
The alarm types comprise over-range alarm, data mutation alarm, water leakage alarm and approach range alarm. The alarm platform comprises user terminal equipment, and the monitoring platform is further used for sending the alarm information to the user terminal equipment. The alarm platform comprises acousto-optic alarm equipment, and the acousto-optic alarm equipment is arranged at a geological disaster hidden danger point; the monitoring platform is further used for sending the alarm information to the acousto-optic alarm equipment so that the acousto-optic alarm equipment can give an acousto-optic flicker alarm.
By installing the integrated monitoring sensor equipment in the area of the geological disaster hidden danger points, three-dimensional coordinate change, absolute displacement, relative displacement, stress strain and local deformation data of the monitoring points are acquired in real time, real-time online monitoring on the geological disaster hidden danger is achieved, and abnormal change is alarmed. Referring to the original value, the alarm types are classified into an over-range alarm, a data mutation alarm, a water leakage alarm (only for a specific device), and a proximity range alarm.
The platform is developed by adopting Java + mysql + python + C language, and is based on SOA architecture, the strong coupling relation between the basic service platform and the service system is decoupled, and better system compatibility and expansibility are provided. Each service platform provides services to the outside in a WebAPI mode, all the services need to be authorized and authenticated, and authentication data are transmitted through an encryption channel and digitally signed, so that the safety of the platform is guaranteed.
The middleware technology is adopted in the construction of an application system, and the main advantages are as follows: the development period of the application is shortened; the development cost of the application is saved; the construction cost of the system at the initial stage is reduced; the failure rate of application development is reduced; the existing investment is protected; application integration is simplified; the maintenance cost is reduced; the development quality of the application is improved; the continuity of the technical progress is ensured; enhancing the vitality of the application.
Middleware is an application server for developing, integrating, deploying, and managing large distributed Web applications, network applications, and database applications. Middleware possesses the performance, extensibility, and high availability needed to handle critical Web application system problems.
The selection of the middleware should ensure the following characteristics:
the multi-standard is compatible, and the method and the device comprehensively support various standards in the industry, including EJB, JSB, JMS, JDBC, XML and WML, so that the implementation of a Web application system is simpler, the investment is protected, and meanwhile, the development of a solution based on the standards is simpler and more convenient.
Unlimited scalability, with a highly extensible architecture including client-connected sharing, resource posing, and dynamic web page and EJB component clustering.
The method is quick in development, based on the open standard, can simplify the development, can exert the existing skills and quickly deploy the application system. The software is based on a JFinal rapid WEB + ORM development framework, and is rapid in development, small in code amount, easy to expand and Restful.
The deployment is more flexible and is tightly integrated with a leading database, an operating system and a Web server.
Mission critical reliability, its fault tolerance, system management and security performance are verified in thousands of mission critical environments worldwide.
Architecture, Web application systems need to be developed quickly, requiring server-side components with good flexibility and security, while also supporting the necessary expansion, performance, and high availability for critical tasks. Middleware simplifies the development of portable and extensible application systems and provides rich interoperability for other application systems.
With clustering technology, middleware has the highest level of extensibility and availability, which is crucial to the extensibility and availability required by web application systems.
A Service Oriented Architecture (SOA) is a component model that ties different functional units of an application, called services, through well-defined interfaces and contracts between these services. The interface is defined in a neutral mode and is independent of a hardware platform, an operating system and a programming language for realizing the service, so that the service built in the SOA system interacts in a uniform and universal mode.
Features of the SOA architecture:
and the service can be reused, and one service can be used for a plurality of applications and business processes after being created.
Loose coupling, the binding of a service requester to a service provider should be loosely coupled to the service. Thus, the service requester does not need to know the technical details of the service provider implementation, such as the programming language, the underlying platform, etc.
A well-defined interface, service interaction must be well-defined. The Web Services Description Language (WSDL) is a Language for describing the details of binding to a service provider required by a service requester. WSDL does not include any technical details of the service implementation. The service requester does not know nor care which programming language the service is written in.
Stateless service design, a service should be an independent, self-contained request that does not require the acquisition of information or state from one request to another when implemented. The service should not depend on the context and state of other services. When dependencies are generated, they can be defined as generic business processes, functions, and data models.
Based on open standards, the current form of SOA implementation is Web services, based on published W3C and other accepted standards. The SOA is implemented using SOAP, WSDL and UDDI defined by a first generation Web services and WS-I defined by a second generation Web services.
The lifecycle of an AI intelligence model is defined as six phases: business understanding, data preparation, modeling, model evaluation, and model publishing.
Service understanding: project requirements and goals are understood from a business perspective, and then the requirements are converted into a problem definition for data mining, and a preliminary plan for achieving the goals is designed.
Data understanding: initial data is collected, quality issues are identified for the data, basic observations are found for the data, or underlying information is assumed to monitor a subset of the data of interest.
Preparing data: the available raw data is subjected to a series of organizations and cleaning to meet the modeling requirements.
Establishing a model: various modeling techniques are selected and their parameters are corrected to optimal values, often going back to the data preparation phase.
And (3) model evaluation: and evaluating the established model, and mainly considering whether the obtained result meets the service requirement or not.
Model release: the results found are summarized and applied.
Anomaly data optimization
Data omission, data abnormity and noise interference often exist in monitoring data in actual engineering, and data preprocessing comprises abnormal data removal, noise elimination and interference of temperature data.
Abnormal data processing, wherein a large amount of monitoring data can be received in high-frequency automatic monitoring, a certain proportion of abnormal data can be generated inevitably, and the proportion of abnormal data in the monitoring process is about 0.5-5%. The abnormal data refers to the monitoring values which do not conform to the trend of the whole time series and can not reflect the real working state of the structure, outliers are often generated, namely, the outliers are far away from most monitoring values, how to judge whether the data is the abnormal value is judged, and the key is to establish a stable time series model for the data.
At present, the elimination of abnormal data mainly has the ralda criterion (3 σ criterion), that is, the average value of statistical single-day monitoring data is mu, the standard deviation is sigma, when the deviation of single measurement data exceeds 3 σ, the measurement data can be determined as abnormal data, after the data is eliminated, the deviation of data value and standard deviation are continuously calculated for the rest data until each deviation is less than 3 σ.
Noise data processing, in which high-frequency automatic monitoring data are often composed of true values and random noise, and the distribution of the random noise in a time domain has globality, that is, data in each time interval contains noise, and in order to eliminate noise interference and obtain true values, a data smoothing processing method needs to be adopted for a large amount of monitoring data. The existing data smoothing method mainly comprises a moving average method, namely, the data are pushed item by item, the average value containing N items of data is respectively calculated, and the original numerical value is replaced by the moving average value, so that random fluctuation is eliminated, and the variation trend of the data is obtained.
Temperature influence processing and instrument measurement are influenced by temperature, so that data drift caused by temperature needs to be eliminated or reduced by using technologies such as temperature compensation and the like.
The platform function combines geological disaster hidden danger integration monitoring sensing equipment, realizes high consequence district geological disaster hidden danger early warning, and warning message sends to the inspection personnel through APP or mobile phone SMS mode. The platform functions comprise a monitoring center, equipment management, statistical analysis, user management, linkage alarm, acousto-optic electric alarm, geological disaster hidden danger monitoring, mobile phone APP and the like.
The alarm information generated by the monitoring platform is directly sent to field management personnel or monitoring center management personnel in a short message or mobile phone APP mode, acousto-optic alarm can be customized and developed according to company requirements, and when the monitoring platform generates serious disaster alarm information such as landslide alarm, crack alarm and the like, the monitoring platform is triggered to generate acousto-optic alarm. Meanwhile, on the premise that the audible and visual alarm is installed at a monitoring point, when an alarm is generated and an alarm instruction is received, the audible and visual alarm generates audible and visual flicker alarm.
And (3) meteorological data monitoring, namely establishing a water-electricity-meteorological service system of the high-consequence area of the pipeline by refining technologies such as a meteorological precipitation forecasting technology, an internet of things technology and a computer network technology, and providing meteorological monitoring services such as water condition alarming, thunder alarming and weather forecasting and the like for the high-consequence area of the pipeline.
The water regime alarm collects regional water and rain regime information in real time, and the system can check alarm information and current regional water and rain regime information by setting a water regime alarm threshold value and generating water regime alarm after the water regime alarm threshold value is reached.
The lightning alarm collects regional weather data in real time, sets lightning alarm conditions, immediately generates lightning alarm when lightning weather occurs, and simultaneously displays lightning direction, strength and approximate distance.
The weather forecast displays weather of the fruit area after the energy pipeline is high in real time, and receives and displays early warning information of regional weather, receives emergency information and gives out sound alarm.
The monitoring of earth's surface displacement is through at high consequence district geological disasters hidden danger point installation integration monitoring sensing equipment, gathers the three-dimensional coordinate change of monitoring point for the benchmark in real time to obtain the deflection of deformable body, when monitoring point data reached early warning value and alarm value, the system was automatic to send early warning and alarm information to appointed person in charge, had improved early warning timeliness, had solved the not enough that exists in traditional artifical patrolling and examining.
Meanwhile, in combination with linkage alarm, when the hidden danger of the geological disaster is generated for alarm, the monitoring equipment stops cruising and locks at the hidden danger point generating the alarm for key monitoring.
In the collapse monitoring, integrated monitoring and sensing equipment is installed at a geological disaster hidden danger point, and absolute displacement monitoring, relative displacement monitoring, stress strain monitoring, meteorological change monitoring (rainfall, snowfall, snow melting and air temperature), ground stress monitoring, local change monitoring and macroscopic ground sound monitoring are carried out on the hidden danger point. According to the deformation evolution characteristics of collapse, the collapse danger level is judged by taking the deformation curve-time characteristics and the macroscopic deformation damage signs as the basis and taking the deformation rate, the acceleration, the critical displacement value and the monitoring information of other physical quantities as the criteria, so that the real-time monitoring and early warning of collapse hidden dangers are realized, and the damage of geological disasters to the transmission pipeline is effectively prevented.
Iterative upgrade, the system platform supports iterative upgrade, function extension, can dock high-order monitoring platform and geological disaster monitoring early warning platform, realizes reporting an emergency and asking for help or increased vigilance linkage and warning information automatic routing to a ray of patroller, can carry out the function customization development according to company's actual demand, and the system platform provides standard data interface, is convenient for dock with current pipeline health system, realizes the real-time access demand of pipeline health system.
And (5) warning the hidden danger of the geological disaster.
The early warning type is divided into over-range warning, data mutation warning, water leakage warning (only aiming at specific equipment) and approach range warning according to the original value.
1) Alarming in an out-of-range mode: the raw collected data exceeds the range.
2) And (4) mutation alarm: the raw collected data exceeds a threshold value compared with the last variation.
3) Water leak alarm (specific device only): the original value exceeds the threshold value for a period of time.
4) And (4) alarming in approaching range: the raw acquisition data is near full range but not over range.
Aiming at the calculated value, the alarm types are divided into accumulated value alarm, daily change alarm and instantaneous rate alarm.
1) And (4) alarm of accumulated value: the current time cumulative value exceeds the threshold value.
2) Daily change alarm: the reference data for the reference time point of day is compared to the previous day, exceeding a threshold.
3) And (3) alarming the instantaneous speed: the current running total is compared with the last time running total to exceed the threshold.
The early warning system establishes a corresponding monitoring data graded early warning management system, sets monitoring graded early warning in the management system, and takes different measures when in different management grades.
And when data corresponding to a certain type of alarm reaches the alarm condition and the continuous alarm time exceeds the set time, triggering the alarm, pushing the alarm information to a related responsible person in the form of a short message or a mail, and disposing the alarm information after the responsible person receives the alarm information. When the alarm point data is recovered to be normal, a warning alarm is generated, and warning alarm information is pushed to a related person in charge in the form of short messages or mails.
Alarm value setting and hierarchical management measures, after the integrated monitoring sensing equipment is installed, the integrated monitoring sensing equipment needs a period of trial operation, and if the integrated monitoring sensing equipment is operated normally, data acquisition is carried out. According to the management levels, different management authorities are set, users of each level have authorities for checking data and reports, downloading reports and receiving alarm notifications sent by the platform system, and a construction unit also has the authority for setting alarm values.
The system management system preliminarily sets three-level monitoring alarm values, and takes different measures when the system is in different alarm levels.
It is noted that, herein, relational terms such as first and second, and the like may be 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. Also, 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 an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.
Claims (8)
1. The utility model provides a natural gas line unattended operation geological disaster hidden danger point monitoring early warning system which characterized in that includes:
the integrated monitoring and sensing devices are respectively and one-by-one distributed in a plurality of geological disaster hidden danger points contained in the selected natural gas pipeline unattended region;
the integrated monitoring and sensing equipment is in communication connection with the monitoring platform;
the alarm platform is in communication connection with the monitoring platform;
the monitoring platform is used for judging whether the data information reaches an early warning value and an alarm value according to the received data information collected by each integrated monitoring and sensing device, generating alarm information of a corresponding alarm type according to the data information when the data information reaches the early warning value and the alarm value, and sending the alarm information to the alarm platform; so that the alarm platform can send out corresponding alarm according to the alarm information.
2. The natural gas pipeline unattended geological disaster hidden danger point monitoring and early warning system according to claim 1, wherein the data information comprises surface displacement monitoring data and/or collapse monitoring data.
3. The natural gas pipeline unattended geological disaster hidden danger point monitoring and early warning system according to claim 2, characterized in that three-dimensional coordinate changes of corresponding geological disaster hidden danger points relative to a reference point are collected in real time through the integrated monitoring and sensing equipment, so that deformation of a deformation body is obtained to form the earth surface displacement monitoring data.
4. The natural gas pipeline unattended geological disaster hidden danger point monitoring and early warning system according to claim 2, characterized in that the integrated monitoring and sensing equipment is used for carrying out absolute displacement monitoring, relative displacement monitoring, stress strain monitoring, meteorological change monitoring, ground stress monitoring, local change monitoring and macroscopic ground sound monitoring on the geological disaster hidden danger points; and judging and obtaining the collapse monitoring data by taking the monitoring information of the deformation rate, the acceleration and the critical displacement value as criteria on the basis of deformation curve-time characteristics and macroscopic deformation damage signs according to the deformation evolution characteristics of collapse.
5. The natural gas pipeline unattended geological disaster hidden danger point monitoring and early warning system according to claim 4, wherein the meteorological change monitoring comprises rainfall monitoring, snowfall monitoring, snow melt monitoring and air temperature monitoring.
6. The natural gas pipeline unattended geological disaster hidden danger point monitoring and early warning system according to claim 1, wherein the warning types include over-range warning, data mutation warning, water leakage warning, and approach range warning.
7. The natural gas pipeline unattended geological disaster hidden danger point monitoring and early warning system according to claim 1, wherein the warning platform comprises a user terminal device, and the monitoring platform is further used for sending the warning information to the user terminal device.
8. The natural gas pipeline unattended geological disaster hidden danger point monitoring and early warning system according to claim 1, wherein the warning platform comprises acousto-optic warning equipment, and the acousto-optic warning equipment is arranged at the geological disaster hidden danger point; the monitoring platform is further used for sending the alarm information to the acousto-optic alarm equipment so that the acousto-optic alarm equipment can give an acousto-optic flicker alarm.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102789674A (en) * | 2011-05-17 | 2012-11-21 | 宝鸡市博远信航电子科技有限责任公司 | Geological disaster networking monitoring pre-warning system |
| CN103383242A (en) * | 2012-05-04 | 2013-11-06 | 中国石油天然气股份有限公司 | Freeze soil area oil and gas pipeline monitoring method |
| CN107067656A (en) * | 2017-01-23 | 2017-08-18 | 重庆三峡学院 | A kind of geological disaster monitoring system |
| CN110895865A (en) * | 2018-09-12 | 2020-03-20 | 中国石油天然气股份有限公司 | Pipeline geological disaster monitoring and early warning system |
| CN111256753A (en) * | 2020-01-09 | 2020-06-09 | 成都理工大学 | Intelligent collapse monitoring device and monitoring method thereof |
| CN113112759A (en) * | 2021-04-14 | 2021-07-13 | 浙江智谱工程技术有限公司 | Beidou-based geological disaster monitoring Beidou early warning and alarming system and method |
-
2022
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Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102789674A (en) * | 2011-05-17 | 2012-11-21 | 宝鸡市博远信航电子科技有限责任公司 | Geological disaster networking monitoring pre-warning system |
| CN103383242A (en) * | 2012-05-04 | 2013-11-06 | 中国石油天然气股份有限公司 | Freeze soil area oil and gas pipeline monitoring method |
| CN107067656A (en) * | 2017-01-23 | 2017-08-18 | 重庆三峡学院 | A kind of geological disaster monitoring system |
| CN110895865A (en) * | 2018-09-12 | 2020-03-20 | 中国石油天然气股份有限公司 | Pipeline geological disaster monitoring and early warning system |
| CN111256753A (en) * | 2020-01-09 | 2020-06-09 | 成都理工大学 | Intelligent collapse monitoring device and monitoring method thereof |
| CN113112759A (en) * | 2021-04-14 | 2021-07-13 | 浙江智谱工程技术有限公司 | Beidou-based geological disaster monitoring Beidou early warning and alarming system and method |
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