CN114615250B - Oil gas storage station safety monitoring system and monitoring method - Google Patents
Oil gas storage station safety monitoring system and monitoring method Download PDFInfo
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Abstract
The invention relates to the technical field of oil and gas storage safety monitoring, in particular to an oil and gas storage station safety monitoring system and a monitoring method, wherein the safety monitoring system comprises an intelligent acquisition control terminal, a transmission layer, an analysis layer, a cloud end and a cloud platform, wherein the cloud end carries out resolving analysis on data acquired by the intelligent acquisition control terminal through the analysis layer and transmits the analyzed data to the cloud platform; the intelligent acquisition control terminal comprises a data collection unit and an inspection APP, wherein the data collection unit comprises a plurality of monitoring points arranged at an oil gas storage station and is installed and monitored through GNSS monitoring equipment, a stress strain gauge and a rain gauge; the safety monitoring method comprises the steps of installation and deployment of settlement monitoring points, installation and deployment of sensor components, data transmission and calculation, and real-time display of monitoring results. The monitoring method has clear logic level, comprehensive control on macroscopic and microscopic aspects, comprehensive system operation observation parameters, strong continuity and high reliability, and realizes the whole process and all-weather automatic monitoring control.
Description
Technical Field
The invention relates to the technical field of oil and gas storage safety monitoring, in particular to an oil and gas storage station safety monitoring system and method.
Background
Along with the continuous promotion of modern construction in China, petrochemical industry has become an important component in industrial economy in China. With the continuous increase of energy consumption by the development of various industries in China, a large number of oil and gas storage tanks are gradually built to become important places for energy storage. The oil-gas storage tank bodies are generally uniformly arranged, but the dynamic change of the load of the storage tank (related to the material supplement and consumption rate) changes along with the load of the foundation, and the pipe wall stress changes when the pipeline device is operated and transmitted by the oil-gas, so that the regional foundation is subjected to uneven settlement local plastic deformation, and serious potential safety hazards such as damage to related parts of the storage tank area, inclination instability of the tank body and the like are induced.
In view of the objective background of the load dynamic change of the storage tank, the difference of the basic strength and the stability, the operation of the storage tank is endangered when the adverse deformation condition occurs lightly, and the storage tank is scrapped; the heavy weight causes the tank body to incline unstably, and oil gas leaks and explodes to cause disastrous results. As an important storage device, the safety of the tank is not negligible.
Currently, as tank projects are created, safety issues become an important task for current subsequent maintenance. The most traditional monitoring method is a manual inspection method, and whether the oil tank has sedimentation change is judged by observing macroscopic geological change; in the mapping technology, the measurement method aiming at ground subsidence observation is to judge whether the subsidence of the monitoring point occurs or not by utilizing a simple geometric calculation principle, and simply speaking, the plane control measurement and elevation control measurement method is utilized to judge whether potential safety hazards exist in the foundation subsidence, the oil tank inclination and the like of the oil tank area. With the progress of technology, an observation method of a fiber grating hydrostatic level is also presented, and the monitoring technology is only suitable for monitoring the type of a column type oil tank, mainly utilizes the pressure influence of the height difference on the original level surface in the instrument caused by foundation settlement or oil tank inclination, further influences the wavelength of the fiber grating, and calculates the settlement value of a monitoring point position by measuring the wavelength change and the pressure of the fiber grating.
The most traditional monitoring method is as follows: the manual inspection method has the advantages that the visual observation force of human eyes is limited, the method can only carry out macroscopic detection, has certain requirements on the professional technology of inspection staff, is difficult to realize microscopic change identification of the monitoring area, and has great accuracy on potential safety hazard monitoring of the tank area; the sedimentation observation method in the survey (measurement is carried out by using a total station and a level), the method needs a great deal of consumption in time, technology and manpower, the measured data has discontinuous time, the precision is not necessarily accurate, the data arrangement and analysis period is longer, the calculated data is huge, and the calculated superposition factors are single; automatically monitoring the static level; the monitoring method utilizes the pressure generated by the height difference of the same liquid level of the static level instrument caused by ground subsidence, thereby affecting the wavelength or liquid level height change of the fiber grating, and further calculating the subsidence value through a formula. The device requires a grating demodulator to connect the sensor with the server, and the method is suitable for relative sedimentation observation, which limits the observation of absolute displacement of the ground in the observation area, and defines that the vertical displacement of the datum point is relatively constant or can be accurately determined in other ways.
Therefore, there is an urgent need to provide an oil and gas storage station safety monitoring system and monitoring method, which have the advantages of continuity, accuracy, reliability and practicality.
Disclosure of Invention
In view of the above, the invention aims to provide a system and a method for monitoring the safety of an oil and gas storage station, which solve the problems of poor continuity, poor accuracy, low reliability, poor comprehensiveness and poor practicability of the safety monitoring of the existing oil and gas storage station.
The invention solves the technical problems by the following technical means:
the invention provides a safety monitoring system for an oil and gas storage station, which comprises an intelligent acquisition control terminal, a transmission layer, an analysis layer, a cloud end and a cloud platform, wherein the intelligent acquisition control terminal is used for acquiring monitoring data of the oil and gas storage station, the intelligent acquisition control terminal is in signal transmission with the cloud end through the transmission layer, the analysis layer is arranged on the cloud end, and the cloud end is used for resolving and analyzing the data acquired by the intelligent acquisition control terminal through the analysis layer and transmitting the analyzed data to the cloud platform; the intelligent acquisition control terminal comprises a data collection unit and an inspection APP, wherein the data collection unit comprises a plurality of monitoring points arranged in an oil gas storage station area and a peripheral disaster-inducing risk area, and corresponding physical parameters are acquired by installing GNSS monitoring equipment, a static level instrument, an inclination accelerometer, a stress strain gauge, a gas concentration monitor, an infrasound monitor and a rain gauge.
Preferably, the GNSS monitoring apparatus is installed and deployed in two areas: firstly, installing the top of a storage tank in a station area, and performing horizontal displacement and settlement monitoring on a storage tank monomer; the second is arranged in a peripheral disaster inducing risk area and is used for monitoring the overall stability state of the slope;
the static leveling instrument is arranged at the basic position of the oil and gas storage tank and used for carrying out differential settlement monitoring on the equipment foundation;
the inclination accelerometer is arranged on the wall of the storage tank or the top of the storage tank and used for monitoring the inclination posture change of the tank body;
the stress strain gauge is arranged at the reducing, connecting and bending positions of the pipeline and is used for monitoring the stress change response of the pipeline wall caused by the change of gas or liquid in the tank;
the gas concentration monitor is arranged at the position of the lower air opening of the station area and is used for monitoring the concentration change of target gas in real time;
the infrasound monitor is arranged in a wind noise and mechanical vibration area in the station area and used for monitoring gas leakage in the area in real time.
Preferably, the analysis layer includes a cloud analysis module, a cloud calculation module, a cloud storage module, a mathematical analysis module, a joint analysis module, and a data prediction module.
The cloud analysis module is used for carrying out signal analysis on the monitored data source to obtain data quantity with physical significance;
the cloud resolving module is used for resolving data, and carrying out real-time mathematical computation on the monitoring data or the cloud resolving data to obtain a required visual and final change value result;
the cloud storage module is used for storing the monitoring data and the settlement data;
the mathematical analysis module is used for selecting a corresponding data resolving algorithm according to requirements, and obtaining line and surface data from discrete point location data through a certain connection principle;
the joint analysis module is used for customizing a joint strategy, and superposing and calculating main monitoring data and auxiliary monitoring data according to a certain weight to obtain data closest to the actual change condition;
the data prediction module is used for adding relevant influence factors to the monitored data, adding a relevant algorithm to perform relevant mathematical analysis, predicting the possible state change situation trend of the monitored object, and generating and displaying a trend curve as an important link of the monitoring system to intuitively reflect the change situation of some important working parameters.
Preferably, the cloud platform comprises a real-time monitoring module, an intelligent analysis module, a report reporting module, an early warning and forecasting module, a front-end display module, a structure/geological model, a monitoring model, patrol inspection data and operation scheduling data.
Preferably, the real-time monitoring module is used for collecting information of a monitored object in real time, and can check real-time states through local and remote areas, can be used for displaying a tank field overall view and a single oil tank dynamic graph, monitoring, alarming and displaying an oil receiving and transmitting operation oil tank in the whole process, and counting and displaying oil receiving and transmitting data;
the intelligent analysis module is used for carrying out real-time analysis on certain basic data, automatically completing real-time calculation of the data, displaying the dynamic change condition of the monitored object to obtain the real-time change condition of the monitored object, and analyzing to obtain a conclusion whether reasonable equipment needs maintenance or management of operation policy change basis;
the report module is used for generating a corresponding report aiming at a certain monitoring point or a regular monitoring result of the abnormal situation;
the early warning and forecasting module is used for giving an alarm aiming at dangerous situations of monitoring points or areas which specifically occur in a monitoring project and reach early warning standards.
Another aspect of the present invention provides a safety monitoring method for an oil and gas storage station, the safety monitoring method is based on the safety monitoring system, and the safety monitoring method includes the following steps:
S1, installing and deploying settlement monitoring points: setting a plurality of settlement monitoring points in the oil gas storage station and in the peripheral disaster inducing areas;
s2, mounting and deploying a sensor assembly: the method comprises the steps of respectively installing GNSS monitoring equipment, a static level gauge, an inclination accelerometer, a stress strain gauge, a gas concentration monitor, an infrasound monitor and a rain gauge at corresponding positions so as to collect relevant parameters, installing GNSS at the top of a storage tank and in a peripheral disaster inducing area in an oil-gas storage station, arranging the rain gauge at an open place in the oil-gas storage station, and installing the stress strain gauge on the side wall or a pipeline of the storage tank;
s3, data transmission and calculation: the GNSS monitoring equipment, the static level, the inclination accelerometer, the stress strain gauge, the gas concentration monitor, the infrasound monitor and the rain gauge transmit monitoring data to the cloud in real time, and the cloud performs data calculation through the cloud calculation module to obtain a monitoring result;
s4, monitoring results are displayed in real time: and the cloud calculates and transmits the real-time monitored data to the cloud platform in real time to realize real-time early warning and monitoring.
Preferably, the deployment of the settlement monitoring points in the step S1 includes two parts, wherein the first part is to set a plurality of monitoring points on the foundation of the whole area of the storage tank station area and arrange a static level to perform plane displacement and settlement monitoring, and meanwhile, a GNSS monitoring device is deployed on the top of the storage tank to perform monomer settlement monitoring and an inclination monitor is arranged on the side wall of the storage tank to monitor so as to grasp the specific detailed deformation condition of a single storage tank; the second part is the surrounding disaster-inducing environmental monitoring of the storage tank area, the surrounding side slope is provided with monitoring points and is provided with GNSS monitoring for plane displacement and settlement monitoring, meanwhile, a rain gauge is arranged at the open position to monitor weather, a gas concentration monitor is deployed at the position of a wind outlet of the perennial wind direction, and the dangerous condition of gas or liquid leakage occurs in the station area is monitored.
Preferably, the specific steps of monitoring and settling the cloud data in the step S3 are as follows:
s31, acquiring GNSS data of a GNSS monitoring device by a cloud end, wherein the GNSS data are absolute displacement coordinate data, coordinate values of an X axis, a Y axis and an H axis are used as original data values, and coordinate values of a time end point in the directions of the X axis, the Y axis and the H axis are acquired in an interval time period and are used as end point values of the time period;
the cloud acquires monitoring data of the stress strain gauge, wherein the monitoring data comprises an initial value and an end point value of a frequency observation value and a temperature in an interval time period;
the cloud acquires rainfall data of the rainfall gauge;
s32, the cloud calculates accumulated change displacement amounts delta X, delta Y and delta H in the X-axis, Y-axis and H-axis directions in interval time through a cloud resolving module, calculates change rates delta X, delta Y and delta H in each hour in the X-axis, Y-axis and H-axis directions at the same time, and calculates accumulated plane displacement amounts delta P in the X-axis, Y-axis and H-axis directions, wherein the accumulated plane displacement amounts delta P are vector sums of accumulated change displacement amounts in the X-axis and Y-axis directions, calculates an angle alpha in the plane displacement directions, a plane displacement rate delta P and a plane displacement acceleration gP, and takes the accumulated plane displacement amounts delta P, the angle alpha in the plane displacement directions and the plane displacement rate delta P as parameter values of whether displacement occurs or not, and if the plane displacement acceleration gP values are continuously positive values in the interval time period, the displacement of the monitoring point is in an unfavorable change state;
The cloud acquires monitoring data of the stress strain gauge, calculates a stress value P through a frequency observation value and a temperature,
P＝K(f i 2 -f 0 2 )+b(Δt)
note that: p-stress value;
k-coefficient value, which is an instrument pressure calculation coefficient measured at the time of temperature value in room temperature calibration;
fi-frequency observations;
b-coefficient value of temperature calculation, temperature correction coefficient value obtained according to the cross change test of temperature;
Δt-the difference between the observed temperature value and the indoor calibration temperature,
and calculating and obtaining the change conditions of the stress value P in different time periods, and judging whether the stress value P has an influence on the deformation of the tank wall of the storage tank.
Preferably, the GNSS data acquisition frequency is 1Hz (supporting high-low frequency dynamic adjustment), the data resolving analysis time is generally 1 hour, and the interval time and analysis time of the monitoring data of the stress strain gauge are both generally 10 minutes.
Preferably, the cloud platform can perform level setting according to GNSS data and rainfall data transmitted by a cloud, and the level setting is blue early warning, yellow early warning, orange early warning and red early warning;
taking a certain object monitoring example as an example, the early warning criterion is exemplified as follows:
Blue early warning: the GNSS accumulated horizontal displacement of the starting time to the current time is more than or equal to 30 mm, and the first 2 hours meet one of the following conditions: the GNSS horizontal displacement is more than or equal to 10 mm;
yellow early warning: the GNSS accumulated horizontal displacement of the starting time to the current time is more than or equal to 50 mm, and the first 2 hours meet one of the following conditions: the GNSS horizontal displacement is more than or equal to 20 mm;
orange early warning: the GNSS accumulated horizontal displacement of the starting time to the current time is more than or equal to 100 mm, and the first 2 hours meet one of the following conditions: the GNSS horizontal displacement is more than or equal to 30 mm;
red early warning: the GNSS accumulated horizontal displacement of the starting time to the current time is more than or equal to 150 mm, and the first 2 hours meet one of the following conditions: the GNSS horizontal displacement is more than or equal to 50 mm;
the rainfall early warning criteria are exemplified as follows:
blue early warning: the rainfall is more than or equal to 2 mm in 10min, and the rainfall is more than or equal to 8 mm in 1 h;
yellow early warning: the rainfall is more than or equal to 3 mm in 10min, and the rainfall is more than or equal to 15 mm in 1 h;
orange early warning: the rainfall is more than or equal to 5 mm in 10min, and the rainfall is more than or equal to 28 mm in 1 h;
red early warning: the rainfall is more than or equal to 10 mm in 10min and more than or equal to 50 mm in 1 h.
According to the oil gas storage station safety monitoring system and the monitoring method, GNSS monitoring is arranged at the top of the storage tank, and the displacement of each storage tank in the radial direction is tested, so that unnecessary damage of the storage tank due to too fast or too large settlement of the storage tank is prevented; the stress strain gauge is arranged on the storage tank body, and is used for testing the stress variation value of the storage tank caused by liquid inlet and outlet or uneven ground subsidence, so that the deformation of the tank wall caused by secondary stress is prevented; installing a rain gauge on a stable and relatively open place of the storage tank area, and monitoring rainfall conditions of the area, wherein the rainfall is an important influencing factor of foundation change, and the foundation is influenced by rainfall to generate geological deformation change, so that the foundation is deformed in some ways; finally, setting settlement monitoring points on the ground to monitor the differential settlement of the foundation, and preventing the problems of subsidence, cracks or inclination and damage of the storage tank of the ground caused by the excessively fast settlement of the foundation. Through ground subsidence point, carry out whole accuse monitoring to the inhomogeneous subsidence on ground, combine rainfall data and single jar body monitoring data to combine, through the data settlement of high in the clouds, carry out real-time analysis with the observation data, provide whether whole monitoring area is in safe risk scope, simultaneously, also can predict holistic subsidence trend and the trend that single jar body takes place deformation in advance through the real-time data of monitoring, provide the guarantee for monitoring area's maintenance and jar maintenance.
The oil gas storage station safety monitoring system can realize automatic data acquisition, analysis and calculation through the cloud, feeds the calculated data back to the result display terminal for monitoring and early warning, achieves the advantages of automation and real-time monitoring, and improves the monitoring accuracy by arranging a plurality of monitoring points through the data collecting units in the transmission layer and combining comprehensive judgment of the rainfall of the surrounding environment. The invention has the advantages of simple monitoring principle, strong installation and deployment, strong macroscopic and microscopic control, and the monitoring technology makes up the traditional defects and realizes the working performance of all-weather operation, whole-course monitoring and high measurement precision. The monitoring equipment is more automatic, comprehensive, accurate and continuous in achieving deformation monitoring of the storage tank area.
Drawings
FIG. 1 is a schematic diagram of a system for monitoring the safety of an oil and gas storage station according to the present invention;
FIG. 2 is a diagram of a deployment methodology for the oil and gas reservoir station monitoring technique of the present invention;
FIG. 3 is an exemplary diagram of a monitor site layout of the present invention;
FIG. 4 is a graph of cumulative planar displacement versus acceleration for GNSS data at a monitoring point in accordance with the present invention;
FIG. 5 is a graph of frequency versus temperature observations of stress strain gauge data in the present invention;
FIG. 6 is a graph showing the stress-temperature values after settlement of the stress strain gauge data according to the present invention;
FIG. 7 is a vector change graph of an annular characterization graph in accordance with the present invention.
In the drawings, reference numerals are described below.
GNSS monitoring device 1, rain gauge 2, stress strain gauge 3, storage tank 4, hydrostatic level 5, inclinometer 6, gas concentration monitor 7, infrasound monitor 8.
Detailed Description
The following description of the embodiments of the present invention 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 invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1 to 3, the safety monitoring system for an oil and gas storage station of the present invention includes an intelligent acquisition control terminal, a transmission layer, an analysis layer, a cloud end and a cloud platform, wherein the intelligent acquisition control terminal is used for acquiring monitoring data of the oil and gas storage station, the intelligent acquisition control terminal performs signal transmission with the cloud end through the transmission layer, the analysis layer is arranged on the cloud end, the cloud end performs calculation analysis on the data acquired by the intelligent acquisition control terminal through the analysis layer, and transmits the analyzed data to the cloud platform; the intelligent acquisition control terminal comprises a data collection unit and an inspection APP, wherein the data collection unit comprises a plurality of monitoring points arranged in an oil gas storage station area and a peripheral disaster-inducing risk area, and corresponding physical parameters are acquired through GNSS monitoring equipment 1, a static level gauge 5, an inclination accelerometer 6, a stress strain gauge 3, a gas concentration monitor 7, an infrasound monitor 8 and a rain gauge 2.
Wherein, GNSS monitoring equipment monitors equipment installation and deploys in two regions: firstly, the top of a storage tank 4 in a station area is arranged and is used for carrying out horizontal displacement and settlement monitoring on the single storage tank 4; the second is arranged in a peripheral disaster inducing risk area and is used for monitoring the overall stability state of the slope; the rain gauge 2 is arranged in an open field in the oil and gas storage station and is used for monitoring the rainfall condition of the oil and gas storage station; the static level 5 is arranged at the basic position of the oil gas storage tank 4 and is used for carrying out differential settlement monitoring on the equipment foundation; the inclination accelerometer 6 is arranged on the wall of the storage tank 4 or the top of the storage tank 4 and is used for monitoring the inclination posture change of the tank body; the stress strain gauge is arranged at the positions of reducing, connecting, bending and the like of the pipeline and is used for monitoring the stress change response of the pipeline wall caused by the change of gas or liquid in the tank; the gas concentration monitor 7 is arranged at the position of the lower tuyere of the station area and is used for monitoring the concentration change of the target gas in real time; the infrasound monitor 8 is installed and deployed in the area with small infrasound interference such as wind noise and mechanical vibration in the station area, and is used for monitoring gas leakage in the area in real time.
The analysis layer comprises a cloud analysis module, a cloud resolving module, a cloud storage module, a mathematical analysis module, a joint analysis module and a data prediction module.
The cloud analysis module is used for carrying out signal analysis on the monitored data source and changing the monitored data source into data quantity with physical significance. For example, data values such as analog signal voltage and frequency acquired by the sensor are transmitted, and the data values are calculated into corresponding data amounts with physical significance through cloud computing.
The cloud computing module is used for computing data. And carrying out real-time mathematical computation on the monitoring data or the cloud analysis data to obtain a required visual and final change value result. For example, GNSS monitoring data, and calculating triaxial coordinate values through geometric calculation to obtain solution values of plane displacement, acceleration, speed and the like.
The cloud storage module is used for storing the monitoring data and settlement data, and can be used for checking, calling, downloading and the like of the monitoring data and the settlement result in any period.
The mathematical analysis module is used for selecting corresponding data resolving algorithms (data such as a moving average model, a gray prediction model and the like) according to requirements, and obtaining line, surface and other data from discrete point location data through a certain connection principle.
The joint analysis module is used for customizing a joint strategy, and the main monitoring data and the auxiliary monitoring data are overlapped and calculated according to a certain weight to obtain the data closest to the real change condition.
The data prediction module functions as follows: and superposing relevant influence factors through the monitored data, adding a relevant algorithm (such as a gray prediction model, a moving average model, an autoregressive model and the like) to carry out relevant mathematical analysis, and predicting the possible state change situation trend of the monitored object. The generation and display of the trend curve serves as an important link of the monitoring system, and the change condition of some important working parameters can be intuitively reflected. For example, the real-time liquid level and history curves can show the daily workload (oil inlet and oil outlet) of each oil tank, so that the working time of each oil pump can be balanced to achieve the purpose of prolonging the service life of the oil pump.
The cloud platform comprises a real-time monitoring module, an intelligent analysis module, a report reporting module, an early warning and forecasting module, a front-end display module, a structure/geological model, a monitoring model, patrol inspection data and operation scheduling data.
The real-time monitoring module has the functions of: the system comprises the functions of information management and viewing of monitoring objects, monitoring points, monitoring disaster types, administrative division, monitoring data, early warning setting, personnel scheduling and the like, and further comprises basic GIS functions (plotting, measuring and the like). The monitoring system collects information of the monitored objects in real time, and can check real-time states through local and remote areas, display tank farm full views and single oil tank dynamic graphics, monitor and alarm display of the whole process oil receiving and transmitting operation oil tanks, operation time and statistics and display of oil receiving and transmitting data.
The intelligent analysis module is used for analyzing certain basic data in real time, automatically completing real-time calculation of the data, displaying dynamic change conditions of the monitored object, obtaining real-time change conditions of the monitored object, and analyzing to obtain a conclusion on the basis of whether reasonable equipment needs maintenance or management operation strategy change and the like.
The report module functions to generate a corresponding report for a certain monitoring point or a regular monitoring result of an abnormal situation. The report comprises data analysis, specific description of the monitoring object and the monitoring equipment, and generates corresponding conclusion and suggestion according to the data analysis result, thereby realizing the real-time data change condition description of the monitoring object in a certain monitoring time period.
The early warning and forecasting module comprises management modules such as early warning criterion setting, early warning level setting, early warning manager setting and the like, and the early warning and forecasting setting is used for alarming aiming at dangerous situations of monitoring points or areas which specifically occur in a monitoring project and reach early warning standards, and the module can also perform functions such as upgrading, alarming, restarting and the like on the alarm. In order to analyze the convenience of the field equipment fault, a fault alarm function can be set, the liquid level and deformation threshold values of a single oil tank or a plurality of oil tanks can be set, out-of-limit monitoring is carried out on the working parameters in a circulating mode in the running process, alarm events, alarm positions, occurrence time and alarm reasons can be recorded in real time, an alarm table is generated, various modes of alarm can be carried out through short messages, early warning APP and configuration software interfaces, and the functions of alarm mode, alarm stopping, alarm starting and the like can be set. The front end display module, the structure/geological model, the monitoring model, the patrol inspection data, the operation scheduling data and the like are all background data and decision basis of early warning and forecasting.
The front-end display module comprises the functions of data input, operation, resource access, output and the like. The input module comprises the input of information such as monitoring objects, monitoring point information, monitoring equipment, management personnel and the like; the operation includes basic analysis and custom analysis of data, joint analysis, etc.; the resource access comprises access management to related rights management personnel, access to an established database and other related rights problems; the output includes the information output functions of monitoring data, monitoring objects, monitoring point information, analysis results, analysis graphs, tables and the like.
The structure/geological model function is used for intuitively and vividly expressing the relevant geological environment composition or scale, the structure and texture information such as the topography and the topography of the monitored object, and intuitively expressing the problems such as relevant meteorological hydrology, topography and topography, disaster type and the like of the monitored object.
The monitoring model establishes an information database, a monitoring data storage library, a monitoring technology and a method management model of a monitored object, and performs classified and classified display and management on the monitored item by using a comprehensive plate of related information such as a monitored item, a monitored area, a monitored disaster type and the like.
The inspection data and the operation scheduling data are inspection data, namely, the inspection data are macro geological phenomenon monitoring inspection corresponding to the monitoring project, inspection of detection maintenance of monitoring equipment, and corresponding monitoring disaster geological phenomenon inspection reports and equipment inspection maintenance reports are generated; the operation scheduling data can be used for upgrading, maintaining, starting or stopping the equipment through a remote platform or a corresponding software app, and meanwhile, the operation scheduling data comprises the steps of classifying and counting the whole monitoring operation condition and detecting the operation condition of the equipment such as online operation.
Referring to fig. 1-7, the present invention further provides a method for monitoring the safety of an oil and gas storage station, which is based on the system for monitoring the safety of the oil and gas storage station, and comprises the following steps:
s1, installing and deploying settlement monitoring points: a plurality of settlement monitoring points are arranged in and around the oil and gas storage station. The arrangement of sedimentation monitoring points in the embodiment comprises two parts, wherein the first part is to set a plurality of monitoring points for the foundation of the whole area of the station area of the storage tank 4, arrange a static level gauge 5 for the foundation sedimentation monitoring of the storage tank 4, and set the monitoring points at the foundation position of the storage tank 4 so as to monitor the change condition of sedimentation caused by uneven foundation stress of the storage tank 4; meanwhile, GNSS monitoring equipment 1 is arranged at the top of the storage tank 4, and inclination accelerometers 6 are arranged on the side walls of the storage tank 4 so as to monitor deformation of the single storage tank 4, a gas concentration monitor 7 is arranged at a lower wind gap of a field station area, gas, liquid and liquid leakage and other conditions of the whole area are monitored, and infrasound monitors 8 are deployed in wind noise and mechanical vibration areas to monitor gas leakage, equipment faults and other conditions; the second part is the peripheral disaster inducing environmental area monitoring of the storage tank 4 area, the peripheral disaster inducing area is provided with monitoring points and is provided with GNSS monitoring equipment 1 for settlement monitoring, deformation conditions of transverse and longitudinal sections are mainly monitored, the deployment quantity of the monitoring points is determined by factors such as the range of a side slope and geological environment, and meanwhile, a rain gauge 2 is arranged at an open position to monitor weather rainfall.
S2, mounting and deploying a sensor assembly: the GNSS monitoring device 1 is arranged at the top of the storage tank 4 and in the peripheral area in the oil-gas storage station, and the rain gauge 2 is arranged in an open field in the oil-gas storage station.
S3, data transmission and calculation: the GNSS monitoring device 1, the rain gauge 2 and the stress strain gauge 3 transmit monitoring data to the cloud in real time, and the cloud performs data calculation through the cloud calculation module to obtain a monitoring result. The cloud data monitoring and calculating steps are as follows:
s31, the cloud acquires the space coordinate value data of the GNSS monitoring device 1 of the sensor assembly, wherein the space coordinate value data is absolute displacement coordinate data, initial coordinate values of X-axis, Y-axis and H-axis directions are taken as original data values, and coordinate values of the time end points in the X-axis, Y-axis and H-axis directions in an interval time period are acquired as end point values in the time period, and the end point values are shown in a table 1.
The cloud acquires monitoring data of the stress strain gauge 3, wherein the monitoring data comprises an initial value and an end point value of a frequency observation value and a temperature in an interval time period;
The cloud acquires rainfall data of the rainfall meter 2;
s32, the cloud calculates accumulated change displacement amounts delta X, delta Y and delta H in the X-axis, Y-axis and H-axis directions in interval time through the acquired space coordinate value data and calculates change rates delta X, delta Y and delta H per hour in the X-axis, Y-axis and H-axis directions at the same time through a cloud calculating module, and acceleration g in the X-axis, Y-axis and H-axis directions is calculated x 、g y 、g h An accumulated planar displacement ΔΔp, which is the X-axis and the Y-axisVector sum of the direction cumulative change displacement amount, calculating angle alpha of plane displacement direction, plane displacement rate delta P and plane displacement acceleration g p . The cloud acquired data of the GNSS monitoring device and the decoded data are shown in tables 1 and 2.
Table 1 GNSS monitoring device measurement result data example
TABLE 2 analysis of GNSS monitoring device coordinate data
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By accumulating the plane displacement quantity delta P, the angle alpha of the plane displacement direction and the plane displacement rate delta P as monitoring pointsIf the parameter value of displacement occurs, if the plane displacement acceleration g is within the interval time period p Positive value, indicating that the displacement of the monitoring point is in a change state in the period of time, if the plane displacement acceleration g p A negative value indicates that no displacement change occurs during this period of time, and is in a steady state.
The cloud platform can perform level setting according to GNSS monitoring equipment data and rainfall data transmitted by the cloud, and the cloud platform is blue early warning, yellow early warning, orange early warning and red early warning;
absolute displacement monitoring and early warning judgment are carried out through GNSS monitoring equipment, and the accumulated plane displacement delta P is used as an index:
blue early warning: the GNSS monitoring equipment with the starting time being equal to or more than 30 millimeters in accumulated horizontal displacement and the first 2 hours meet one of the following conditions: the horizontal displacement of the GNSS monitoring equipment is more than or equal to 10 mm;
yellow early warning: the GNSS monitoring equipment with the starting time being equal to or more than 50 millimeters in accumulated horizontal displacement and the first 2 hours meet one of the following conditions: the horizontal displacement of the GNSS monitoring equipment is more than or equal to 20 mm;
orange early warning: the GNSS monitoring equipment with the starting time being equal to or more than 100 millimeters in accumulated horizontal displacement and the first 2 hours meet one of the following conditions: the horizontal displacement of the GNSS monitoring equipment is more than or equal to 30 mm;
red early warning: the GNSS monitoring equipment with the starting time being equal to or more than 150 mm in accumulated horizontal displacement and the first 2 hours meet one of the following conditions: the horizontal displacement of the GNSS monitoring equipment is more than or equal to 50 mm.
The cloud acquires the monitoring data of the stress strain gauge 3, calculates a stress value P through a frequency observation value and a temperature,
P＝K(f i 2 -f 0 2 )+b(Δt)
And (3) injection: p-stress value;
k, the coefficient value is an instrument pressure calculation coefficient measured when the room temperature is calibrated;
fi-frequency observations;
b-coefficient value of temperature calculation, temperature correction coefficient value obtained according to the cross change test of temperature;
Δt-the difference between the observed temperature value and the room temperature calibration temperature.
The data after observation and settlement are shown in Table 3
Table 3 stress strain gauge monitoring and resolving data examples
K＝27.5325Kpa/F
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And calculating and obtaining the change conditions of the stress value P in different time periods, and judging whether the stress value P has influence on deformation of the tank wall of the storage tank 4.
Fig. 4 is a graph of cumulative plane displacement-acceleration change of the GNSS data of the monitoring point of the present embodiment, fig. 5 is a graph of frequency-temperature observation of the data of the stress strain gauge of the present embodiment, fig. 6 is a graph of stress-temperature change after settlement of the data of the stress strain gauge of the present embodiment, and fig. 7 is a vector change of the annular characterization graph of the present embodiment.
S4, monitoring results are displayed in real time: and the cloud calculates and transmits the real-time monitored data to the cloud platform in real time to realize real-time early warning and monitoring. The cloud platform can perform level setting according to GNSS monitoring equipment data and rainfall data transmitted by the cloud, and the cloud platform is blue early warning, yellow early warning, orange early warning and red early warning;
Absolute displacement monitoring and early warning judgment are carried out through GNSS monitoring equipment, and the accumulated plane displacement delta P is used as an index:
blue early warning: the GNSS monitoring equipment with the starting time being equal to or more than 30 millimeters in accumulated horizontal displacement and the first 2 hours meet one of the following conditions: the horizontal displacement of the GNSS monitoring equipment is more than or equal to 10 mm;
yellow early warning: the GNSS monitoring equipment with the starting time being equal to or more than 50 millimeters in accumulated horizontal displacement and the first 2 hours meet one of the following conditions: the horizontal displacement of the GNSS monitoring equipment is more than or equal to 20 mm;
orange early warning: the GNSS monitoring equipment with the starting time being equal to or more than 100 millimeters in accumulated horizontal displacement and the first 2 hours meet one of the following conditions: the horizontal displacement of the GNSS monitoring equipment is more than or equal to 30 mm;
red early warning: the GNSS monitoring equipment with the starting time being equal to or more than 150 mm in accumulated horizontal displacement and the first 2 hours meet one of the following conditions: the horizontal displacement of the GNSS monitoring equipment is more than or equal to 50 mm;
rainfall early warning judgment:
blue early warning: the rainfall is more than or equal to 2 mm in 10min and more than or equal to 8 mm in 1h
Yellow early warning: the rainfall is more than or equal to 3 mm in 10min, and the rainfall is more than or equal to 15 mm in 1 h;
orange early warning: the rainfall is more than or equal to 5 mm in 10min, and the rainfall is more than or equal to 28 mm in 1 h;
Red early warning: the rainfall is more than or equal to 10 mm in 10min and more than or equal to 50 mm in 1 h.
According to the oil gas storage station, the uneven settlement of the ground is monitored in an integral mode through the ground settlement points, rainfall data and single tank monitoring data are combined, real-time analysis is conducted on observation data through cloud data calculation, whether the integral monitoring area is in a safety risk range or not is provided, meanwhile, integral settlement trend and single tank deformation trend can be predicted in advance through the monitored real-time data, and guarantee is provided for maintenance of the monitoring area and maintenance of the tank.
The oil gas storage station safety monitoring system and the detection method can be applied to different scenes, and comprise the following steps:
application scenario one: an oil tank region. The integral foundation of the tank area is subjected to dynamic load change when the storage tank passes in and out liquid, and is also subjected to the influence of the conditions of hydrology, geology and the like of the monitoring area.
And (2) an application scene II: other types of large industrial areas. For large industrial area, the foundation is affected by the operation of large machine, and the foundation will deform to some extent and the stress will change during the operation of machine. Generally, the foundation of a large industrial area has certain technical requirements during construction, but the stratum can be subjected to creep change along with the time, and the geological conditions can be changed under the influence of the outside and groundwater, so that the foundation is influenced and deformed. In the case of a station yard, it has large cylindrical building bodies, and there is a strict requirement for the settlement deformation of the foundation.
And (3) an application scene III: and (5) building a site.
Along with the development of science and technology, large-scale construction building sites are continuously developed, and in the construction stage, foundation is filled and excavated, and slope treatment and protection work is carried out. The monitoring method can be used for carrying out integral foundation settlement control monitoring on a construction site, and preventing and controlling excessive deformation caused by foundation construction or rainfall influence, and unnecessary personal and property losses.
The above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made thereto without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered by the scope of the claims of the present invention. The technology, shape, and construction parts of the present invention, which are not described in detail, are known in the art.
Claims (7)
1. The system is characterized by comprising an intelligent acquisition control terminal, a transmission layer, an analysis layer, a cloud end and a cloud platform, wherein the intelligent acquisition control terminal is used for acquiring monitoring data of the oil and gas storage station, the intelligent acquisition control terminal is in signal transmission with the cloud end through the transmission layer, the analysis layer is arranged on the cloud end, the cloud end is used for resolving and analyzing the data acquired by the intelligent acquisition control terminal through the analysis layer, and the analyzed data is transmitted to the cloud platform;
The intelligent acquisition control terminal comprises a data collection unit and a patrol APP, wherein the data collection unit comprises a plurality of monitoring points arranged in an oil gas storage station area and a peripheral disaster-inducing risk area, and corresponding physical parameters are acquired by installing GNSS monitoring equipment, a static level instrument, an inclination accelerometer, a stress strain gauge, a gas concentration monitor, an infrasound monitor and a rain gauge;
the GNSS monitoring device is installed and deployed in two areas: firstly, installing the top of a storage tank in a station area, and performing horizontal displacement and settlement monitoring on a storage tank monomer; the second is arranged in a peripheral disaster inducing risk area and is used for monitoring the overall stability state of the slope;
the static leveling instrument is arranged at the basic position of the oil and gas storage tank and used for carrying out differential settlement monitoring on the equipment foundation;
the inclination accelerometer is arranged on the wall of the storage tank or the top of the storage tank and used for monitoring the inclination posture change of the tank body;
the stress strain gauge is arranged at the reducing, connecting and bending positions of the pipeline and is used for monitoring the stress change response of the pipeline wall caused by the change of gas or liquid in the tank;
the gas concentration monitor is arranged at the position of the lower air opening of the station area and is used for monitoring the concentration change of target gas in real time;
The infrasound monitor is arranged in a wind noise and mechanical vibration area in the station area and is used for monitoring gas leakage in the area in real time;
the cloud data monitoring and settlement specifically comprises the following steps:
the cloud acquires GNSS data of the GNSS monitoring device, wherein the GNSS data are absolute displacement coordinate data, coordinate values of X-axis, Y-axis and H-axis directions are used as original data values, and coordinate values of time endpoints of the time periods in the X-axis, Y-axis and H-axis directions are acquired in interval time periods and used as endpoint values of the time periods;
the cloud acquires monitoring data of the stress strain gauge, wherein the monitoring data comprises an initial value and an end point value of a frequency observation value and a temperature in an interval time period;
the cloud acquires rainfall data of the rainfall gauge;
the cloud calculates accumulated change displacement amounts delta X, delta Y and delta H in the X-axis, Y-axis and H-axis directions in interval time through the cloud calculating module, calculates the change rates delta X, delta Y and delta H in each hour in the X-axis, Y-axis and H-axis directions at the same time, calculates the accumulated plane displacement amounts delta P in the X-axis, Y-axis and H-axis directions, calculates the angle alpha of the plane displacement directions, the plane displacement rate delta P and the plane displacement acceleration gP in the plane displacement directions as vector sums of the accumulated change displacement amounts in the X-axis and Y-axis directions, and takes the accumulated plane displacement amounts delta P, the angle alpha of the plane displacement directions and the plane displacement rate delta P as parameter values of whether displacement occurs to the monitoring point or not, and indicates that the displacement of the monitoring point is in an unfavorable change state in the interval time if the plane displacement acceleration gP value is continuously positive;
The cloud acquires monitoring data of the stress strain gauge, calculates a stress value P through a frequency observation value and a temperature,
P＝K(f i 2 -f 0 2 )+b(Δt)
note that: p-stress value;
k-coefficient value, which is an instrument pressure calculation coefficient measured at the time of temperature value in room temperature calibration;
fi-frequency observations;
b-coefficient value of temperature calculation, temperature correction coefficient value obtained according to the cross change test of temperature;
Δt-the difference between the observed temperature value and the indoor calibration temperature,
and calculating and obtaining the change conditions of the stress value P in different time periods, and judging whether the stress value P has an influence on the deformation of the tank wall of the storage tank.
2. The oil and gas storage station safety monitoring system according to claim 1, wherein the analysis layer comprises a cloud analysis module, a cloud calculation module, a cloud storage module, a mathematical analysis module, a joint analysis module and a data prediction module;
the cloud analysis module is used for carrying out signal analysis on the monitored data source to obtain data quantity with physical significance;
the cloud resolving module is used for resolving data, and carrying out real-time mathematical computation on the monitoring data or the cloud resolving data to obtain a required visual and final change value result;
The cloud storage module is used for storing the monitoring data and the settlement data;
the mathematical analysis module is used for selecting a corresponding data resolving algorithm according to requirements, and obtaining line and surface data from discrete point location data through a certain connection principle;
the joint analysis module is used for customizing a joint strategy, and obtaining data of a change condition by weight superposition calculation of monitoring data;
the data prediction module is used for adding relevant influence factors to the monitored data, adding a relevant algorithm to perform relevant mathematical analysis, predicting the state change situation trend of the monitored object, and generating and displaying a trend curve as an important link of the monitoring system to intuitively reflect the change situation of some important working parameters.
3. The oil and gas storage station safety monitoring system according to claim 2, wherein the cloud platform comprises a real-time monitoring module, an intelligent analysis module, a report reporting module, an early warning and forecasting module, a front-end display module, a structure/geologic model, a monitoring model, patrol inspection data and operation scheduling data.
4. The system of claim 3, wherein the real-time monitoring module is used for collecting information of a monitored object in real time, and checking real-time states through local and remote, displaying tank area overall and single oil tank dynamic graphics, monitoring and alarming and displaying an oil receiving and transmitting operation oil tank in the whole process, and counting and displaying operation time and oil receiving and transmitting data;
The intelligent analysis module is used for carrying out real-time analysis on certain basic data, automatically completing real-time calculation of the data, displaying the dynamic change condition of the monitored object to obtain the real-time change condition of the monitored object, and analyzing to obtain a conclusion whether reasonable equipment needs maintenance or management of operation policy change basis;
the report module is used for generating a corresponding report aiming at a certain monitoring point or a regular monitoring result of the abnormal situation;
the early warning and forecasting module is used for giving an alarm aiming at dangerous situations of monitoring points or areas which specifically occur in a monitoring project and reach early warning standards.
5. A method for monitoring the safety of an oil and gas storage station, which is characterized by comprising the following steps:
s1, installing and deploying settlement monitoring points: setting a plurality of settlement monitoring points in and around the oil and gas storage station;
s2, mounting and deploying a sensor assembly: the method comprises the steps of respectively installing GNSS monitoring equipment, a static level gauge, an inclination accelerometer, a stress strain gauge, a gas concentration monitor, an infrasound monitor and a rain gauge at corresponding positions so as to collect relevant parameters, installing the GNSS monitoring equipment at the top of a storage tank and in a peripheral disaster-inducing risk area in an oil-gas storage station, and arranging the rain gauge at an open place in the oil-gas storage station;
S3, data transmission and calculation: the GNSS monitoring equipment, the static level, the inclination accelerometer, the stress strain gauge, the gas concentration monitor, the infrasound monitor and the rain gauge transmit monitoring data to the cloud in real time, and the cloud performs data calculation through the cloud calculation module to obtain a monitoring result;
s4, monitoring results are displayed in real time: the cloud calculates and transmits the real-time monitoring data to the cloud platform in real time to realize real-time early warning and monitoring;
the deployment of settlement monitoring points in the step S1 comprises two parts, wherein the first part is to set a plurality of monitoring points on the whole foundation of a storage tank station area and arrange a static level to perform plane displacement and settlement monitoring, and meanwhile, GNSS monitoring equipment is deployed on the top of the storage tank to perform monomer settlement monitoring and inclination monitoring on the side wall of the storage tank so as to master the specific detailed deformation condition of a single storage tank; the second part is the surrounding disaster-inducing environment monitoring of the storage tank area, the surrounding side slope is provided with monitoring points and is provided with GNSS monitoring for plane displacement and settlement monitoring, meanwhile, a rain gauge is arranged at an open position for monitoring weather, a gas concentration monitor is deployed at a wind outlet position of the perennial wind direction for monitoring the dangerous condition of gas or liquid leakage in the station area;
The specific steps of cloud data monitoring and settlement in the step S3 are as follows:
s31, acquiring GNSS data of a GNSS monitoring device by a cloud end, wherein the GNSS data are absolute displacement coordinate data, coordinate values of an X axis, a Y axis and an H axis are used as original data values, and coordinate values of a time end point of a time period in the directions of the X axis, the Y axis and the H axis are acquired in an interval time period and are used as end point values of the time period;
the cloud acquires monitoring data of the stress strain gauge, wherein the monitoring data comprises an initial value and an end point value of a frequency observation value and a temperature in an interval time period;
the cloud acquires rainfall data of the rainfall gauge;
s32, the cloud calculates accumulated change displacement amounts delta X, delta Y and delta H in the X-axis, Y-axis and H-axis directions in interval time through a cloud resolving module, calculates change rates delta X, delta Y and delta H in each hour in the X-axis, Y-axis and H-axis directions at the same time, and calculates accumulated plane displacement amounts delta P in the X-axis, Y-axis and H-axis directions, wherein the accumulated plane displacement amounts delta P are vector sums of accumulated change displacement amounts in the X-axis and Y-axis directions, calculates an angle alpha in the plane displacement directions, a plane displacement rate delta P and a plane displacement acceleration gP, and takes the accumulated plane displacement amounts delta P, the angle alpha in the plane displacement directions and the plane displacement rate delta P as parameter values of whether displacement occurs or not, and if the plane displacement acceleration gP values are continuously positive values in the interval time period, the displacement of the monitoring point is in an unfavorable change state;
The cloud acquires monitoring data of the stress strain gauge, calculates a stress value P through a frequency observation value and a temperature,
P＝K(f i 2 -f 0 2 )+b(Δt)
note that: p-stress value;
k-coefficient value, which is an instrument pressure calculation coefficient measured at the time of temperature value in room temperature calibration;
fi-frequency observations;
b-coefficient value of temperature calculation, temperature correction coefficient value obtained according to the cross change test of temperature;
Δt-the difference between the observed temperature value and the indoor calibration temperature,
and calculating and obtaining the change conditions of the stress value P in different time periods, and judging whether the stress value P has an influence on the deformation of the tank wall of the storage tank.
6. The method for monitoring the safety of an oil and gas storage station according to claim 5, wherein the GNSS data acquisition frequency is 1Hz, the data calculation analysis time is 1 hour, and the interval time and the analysis time of the monitoring data of the stress strain gauge are 10 minutes.
7. The method for monitoring the safety of the oil and gas storage station according to claim 6, wherein the cloud platform can perform level setting according to GNSS data and rainfall data transmitted by a cloud end, and the cloud platform is blue early warning, yellow early warning, orange early warning and red early warning;
And the GNSS absolute displacement monitoring and early warning judgment is carried out, and the early warning criterion is as follows:
blue early warning: the GNSS accumulated horizontal displacement of the starting time to the current time is more than or equal to 30 mm, and the GNSS horizontal displacement amount is more than or equal to 10 mm in the first 2 hours;
yellow early warning: the GNSS accumulated horizontal displacement of the starting time to the current time is more than or equal to 50 mm, and the GNSS horizontal displacement amount is more than or equal to 20 mm in the first 2 hours;
orange early warning: the GNSS accumulated horizontal displacement of the starting time to the current time is more than or equal to 100 mm, and the GNSS horizontal displacement amount is more than or equal to 30 mm in the first 2 hours;
red early warning: the GNSS accumulated horizontal displacement of the starting time to the current time is more than or equal to 150 mm, and the GNSS horizontal displacement amount is more than or equal to 50 mm in the first 2 hours;
the rainfall early warning criteria are as follows:
blue early warning: the rainfall is more than or equal to 2 mm in 10min, and the rainfall is more than or equal to 8 mm in 1 h;
yellow early warning: the rainfall is more than or equal to 3 mm in 10min, and the rainfall is more than or equal to 15 mm in 1 h;
orange early warning: the rainfall is more than or equal to 5 mm in 10min, and the rainfall is more than or equal to 28 mm in 1 h;
red early warning: the rainfall is more than or equal to 10 mm in 10min and more than or equal to 50 mm in 1 h.
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