CN117432945B - Supervision system for realizing energy-saving safe operation control of long-distance pipeline network - Google Patents
Supervision system for realizing energy-saving safe operation control of long-distance pipeline network Download PDFInfo
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Abstract
The invention relates to the technical field of management and control of rigid pipe fitting long-distance transmission pipe networks, in particular to a supervision system for realizing energy-saving safe operation control of long-distance transmission pipe networks, which comprises an in-pipe transmission medium parameter acquisition module, a pipe fitting parameter acquisition module, an energy loss analysis module, a pipe network operation safety assessment module, an early warning module and a cloud database; and the in-pipe conveying medium parameter acquisition module, the pipe fitting parameter acquisition module, the energy loss analysis module, the pipe network operation safety assessment module and the early warning module are all in signal connection with the cloud database. The system can carry out comprehensive parameter management control on the operation of the long-distance pipeline network and operation maintenance of the whole long-distance pipeline network, can effectively acquire the temperature of the conveying medium in the rigid pipeline pipe fitting at each sampling part and simultaneously realize analysis and calculation on the temperature difference change of the conveying medium, obtains relatively accurate temperature change rate of the conveying medium in the rigid pipeline pipe, and ensures analysis on the temperature loss in the pipeline.
Description
Technical Field
The invention relates to the technical field of management and control of rigid pipe fitting long-distance pipeline networks, in particular to a supervision system for realizing energy-saving safe operation control of a long-distance pipeline network.
Background
Long-distance pipelines are also known as long-distance pipelines, which are used for conveying gas or fluid media. The pipeline system in the long-distance conveying pipeline network is formed by connecting a plurality of long-distance conveying rigid pipes in series and parallel and then completing connection assembly through pipe joints, and because the conveying working condition is long-distance conveying, adjustable connection or movable connection is arranged between adjacent rigid pipes in each section of the current long-distance conveying pipeline network, so that heat preservation and axial deformation compensation in the medium conveying process are ensured.
For example, patent publication CN110469748B, IPC, classification F16L discloses a prefabricated overhead long-distance conveying system for low-energy-consumption pipe networks, and the purpose of energy saving and operation and maintenance cost reduction is mainly achieved through a composite heat insulation structure as can be seen from reading the application document.
The structure and the operation principle of the patent can be affirmative, the composite heat preservation and insulation can be realized by means of a plurality of prefabricated member pipelines, but the long-distance conveying pipeline in the state has the following problems in the actual operation process: firstly, the heat insulation structure is only added to the pipeline from the physical structure at present so as to achieve the purpose of reducing the heat dissipation rate of a high-temperature medium in the conveying process, the real-time state of each pipeline of the whole long-distance pipeline network cannot be effectively managed by the simple physical improvement, the operation and maintenance of the pipeline are only observed by inspection staff, and the pipe damage problem caused by temporary faults cannot be effectively solved by the supervision mode due to the fact that each pipe in the pipeline is longer in length and more in scattered branches, so that the energy loss caused by the temporary faults is inconvenient to manage and maintain in time; secondly, although means for monitoring high-temperature media in a pipe network exist at present, the monitoring is limited to point location monitoring of an inlet end and an outlet end, the monitoring comprehensiveness is poor, a single variable monitoring mode of media monitoring at a single monitoring point location cannot comprehensively control the condition of an integral conveying pipeline, and the energy utilization and dissipation condition and the safe running state of the whole long conveying pipe network cannot be effectively analyzed and monitored.
Therefore, the invention effectively manages and controls the long-distance transportation of the long-distance transportation pipeline network formed by the multi-channel rigid pipeline assembly in the prior art, so as to facilitate real-time management and control and prompt the management staff to complete management and maintenance of the pipeline network in time, thereby better solving the problems in the prior art.
Disclosure of Invention
The invention aims to solve one of the technical problems, and adopts the following technical scheme: a supervisory system for realizing energy-saving safe operation control of a long-distance pipeline network comprises an in-pipeline conveying medium parameter acquisition module, wherein the in-pipeline conveying medium parameter acquisition module is used for acquiring conveying medium parameter information in a rigid pipeline of each sampling position of a target long-distance pipeline network.
The pipe fitting parameter acquisition module is used for acquiring abnormal parameter information of the rigid pipe of each sampling position in the target long-distance pipeline network, wherein the acquired abnormal parameter information of the rigid pipe comprises flange part parameter information and telescopic joint parameter information.
And the energy loss analysis module is used for calculating and analyzing the energy loss condition of the conveying medium in the current long-distance conveying pipeline network.
And the pipe network operation safety evaluation module is used for receiving the information of the pipe fitting parameter acquisition module and the in-pipe conveying medium parameter acquisition module and analyzing and evaluating the information.
And the early warning module is used for finishing the regulation and control treatment of the conveying medium in the long-distance pipeline network and the early warning monitoring of each pipe fitting according to the evaluation result of the pipe network operation safety evaluation module.
The cloud database is used for storing all parameter information acquired by each module and all preset parameter information of the acquired long-distance pipeline network.
In any of the above embodiments, the obtained conveying medium parameter information inside the rigid pipe of each sampling site preferably includes conveying medium temperature, viscosity and pressure of the conveying medium at each sampling point inside the rigid pipe.
In any of the above schemes, preferably, the specific working process of the in-pipe conveying medium parameter acquisition module includes: obtaining the temperature of conveying medium at each sampling point in rigid pipeWherein, the method comprises the steps of, wherein,representing the interior of a currently rigid pipeThe number of the temperatures of the individual transport media,。
by analysis of formulasAnd calculating the temperature change rate of the conveying medium in the rigid pipe in the unit distance.
Then combine the analytical formulasCalculating to obtain the temperature change rate of the long-distance conveying medium of the long-distance conveying pipeline network from the starting end to the ending end of the long-distance conveying pipeline networkAnd uploading to a cloud database.
Wherein,representing the first of the long-distance pipeline networkThe number of rigid tube tubes sampled.
Acquiring the temperature change rate of the conveying medium of the long conveying pipeline network in the parameter acquisition module of the conveying medium in the pipelineBy analysis of the numerical values of formula (I)Obtaining the theoretical conveying medium temperature value inside the current point position of the rigid pipe with the length of a meter from the starting point of the long conveying pipe network。
Obtaining the viscosity of the conveying medium inside the rigid pipe of each sampling positionAnd pass through the formulaTo obtain the viscosity of the conveying medium inside the rigid pipeAnd upload to a cloud database, wherein,the number of sampling points for the consistency of the transport medium.
Obtaining pressure value of conveying medium in rigid pipe of each sampling positionBy analysis of the formulaObtaining the pressure early warning coefficient of the current point positionWhen the pressure early warning coefficientWhen the pressure pre-warning coefficient is larger than or equal to the pre-warning coefficient threshold value, sending a pre-warning signal, uploading the pressure pre-warning signal and the current point position to a cloud database, and when the pressure pre-warning coefficient is smaller than the pre-warning coefficient threshold value, sending a pressure pre-warning signal and uploading the current point position to the cloud databaseWhen the pre-warning coefficient threshold value is smaller than the pre-warning coefficient threshold value, the analysis formula is adoptedObtaining the pressure value of the available conveying medium inside the rigid pipe。
In any of the above solutions, preferably, the specific working process of the pipe parameter obtaining module includes: obtaining medium temperature value of inside of rigid pipe of current sampling position And obtaining the ratio of the outer diameter to the inner diameter of the rigid pipe through the basic information of the rigid pipe in the cloud database, and the metal heat conductivity coefficient of the pipe wall.
By the formulaAnd combine formulasObtaining the abnormal temperature degree of the pipe wall of the rigid pipe at the current sampling position。
Wherein,is the average temperature of the wall of the rigid pipe;is the current temperature value of the medium in the pipe;taking a deviation reference value for considering the deviation of the medium temperature between pipes from the average value;the heat flow equalizing coefficient of the medium;is the ratio of the outer diameter to the inner diameter of the rigid tube;the maximum heat flux density outside the tube is the tube row with the maximum heat load;is the heat release coefficient between the inner wall of the tube and the medium;is the thickness of the pipe wall;is the heat conductivity coefficient of the metal of the pipe wall of the rigid pipe.
And acquiring the size information of end flanges at two ends of the rigid pipe at the current sampling position, the number and size information of bolts on the end flanges, and the number and size information of expansion joints from the pipe product structure information recorded in the cloud database.
In any of the above solutions, preferably, the specific working process of the pipe parameter obtaining module further includes: the crack length of the inner wall of the end flange on the rigid pipe of each sampling position is obtained and recorded as Wherein, the method comprises the steps of, wherein,representing the first on the current end flangeNumber of bar cracks.
Obtaining vibration amplitude of each connecting bolt at end flange joint of rigid pipe of each sampling positionWherein, the method comprises the steps of, wherein,representing the first on the current end flangeAnd the number of the connecting bolts.
Calculating the flange anomaly coefficient of the end flange plate of the current sampling part，。
In the above, whenAnd when the number of the overlength cracks on the same flange plate exceeds N, the current overlength flange is marked as a dangerous flange.
The obtained flange anomaly coefficientAnd (3) withComparing the flange abnormality threshold values when＞When the current end flange is marked as an abnormal flange; wherein e is a natural constant,respectively represent weight factors, an。
Wherein,the conventional setting is carried out by a person skilled in the art according to the material quality of the current end flange, the load-resisting parameter, the rated working pressure and other parameters.
In any of the above solutions, preferably, the specific working process of the pipe parameter obtaining module further includes: and obtaining structural parameter information of the expansion joint through basic information of the expansion joint in the cloud database.
Obtaining a current sampleLength of expansion joint expansion deformation at rigid pipe position of partFrequency of expansion/contraction per unit timeThe number of expansion/contraction times per unit time isVibration amplitude of fastener at fixed end of expansion jointWherein, the method comprises the steps of, wherein,indicating the number of the telescopic joint where the current fastener is located,representing the first on the current telescopic jointThe number of the fasteners.
By analysis of formulasObtaining the abnormal coefficient of the current expansion joint。
Wherein,the weight factors respectively correspond to the expansion deformation, the pressure early warning coefficient, the internal conveying medium temperature change rate and the vibration amplitude of the fastener, and e is a natural constant; s is the limit allowable expansion amplitude of the expansion joint; length of expansion and contraction deformation in periodThe expansion state when being more than s is marked as super-limit expansion, and the super-limit expansion amplitude is marked asWhen in a period ofAnd when the accumulated times exceeds M times, recording as over-frequency and over-limit expansion, sending out an early warning signal at the moment and uploading the early warning signal to a cloud database.
In any of the above schemes, preferably, the specific working process of the pipe network operation safety evaluation module includes: the number of abnormal flanges, the number of cracked flanges, the number of dangerous flanges and the number of expansion joints with over-frequency and over-limit expansion in the pipe parameter acquisition module are respectively recorded as A, B, C, D, and hidden danger values are assigned.
Wherein, the hidden danger value of each abnormal flange, the over-cracked flange and the dangerous flange is respectively recorded as 1 minute, 3 minutes and 10 minutes; the hidden trouble value of each expansion joint with the over-frequency over-limit expansion is recorded as 6 minutes.
Counting to obtain the total value of hidden trouble values in the whole long-distance pipeline network。
When the hidden trouble value is the total valueWhen the potential hazard value threshold value is greater than or equal to the preset potential hazard value threshold value, the current long-distance transmission system processes the dangerous operation state, sends out an early warning signal, and uploads the position information of each abnormal flange, the cracked flange, the dangerous flange and the telescopic joint with the occurrence of the over-frequency over-limit expansion to the overhaul terminal to send out maintenance early warning.
When the hidden trouble value is the total valueWhen the processing value is smaller than the threshold value of the preset hidden danger value, the current long-distance pipeline network system processing is primarily judged to be in a primary detection safety state, and all processing results are obtained from the pipe fitting parameter obtaining module and the in-pipe conveying medium parameter obtaining module.
By analysis of formulasObtaining the overall anomaly coefficient of the pipe network of the whole conveying pipe network. Wherein,respectively represent the pipe wall temperature anomaly degreeCoefficient of flange anomalyCoefficient of expansion joint abnormalityIs a weight factor of (a).
When the obtained pipe network overall anomaly coefficientAnd when the total abnormal threshold value of the pipe network is smaller than the total abnormal threshold value of the pipe network, judging that the current long-distance pipe network system treatment is in a final inspection safety state.
In any of the above aspects, preferably, the working process of the energy loss analysis module includes: and obtaining a processing result in the pipe fitting parameter obtaining module.
When the total length of the conveying pipe network is a meter, the internal theoretical conveying medium temperature value of the rigid pipe at the current point of the tail end of the conveying pipe network。
Acquiring actual conveying medium temperature value at corresponding point inside rigid pipe at tail end。
Calculating the energy heat preservation loss deviation degree of the current long-distance pipeline network through an analysis formula。
Wherein,the energy heat preservation loss deviation degree of the long-distance pipeline network; pi is the circumference ratio;the heat conductivity coefficient of the heat insulation material in the long-distance pipeline network; l is the total length of the long conveying pipe network;inlet temperature (in kelvin or degrees celsius) for the fluid;is the outlet temperature of the fluid;is the inner diameter of the pipeline;is the outer diameter of the pipeline.
Energy insulation loss deviation degree of long-distance pipeline networkEnergy heat preservation loss deviation threshold value with long-distance pipeline networkAnd comparing the energy of the current long-distance pipeline network with the energy of the current long-distance pipeline network to judge whether the energy of the current long-distance pipeline network has excessive loss or not.
When (when)＜When the energy is not excessively lost in the current long-distance pipeline network.
When (when)≥When the energy loss exists in the current long-distance pipeline network, the detection is sent outAnd repairing early warning and informing supervisory personnel of each work section position to complete the overhaul of each rigid pipe fitting section of the long-distance pipeline network and report the overhaul result in time.
When the whole-section maintenance of the long-distance pipeline network is finished, recalculating the energy heat preservation loss deviation degree of the long-distance pipeline networkUp to＜And judging that the current long-distance pipeline network is overhauled to be qualified and achieving the state that the current long-distance pipeline network has no energy excessive loss.
In any of the foregoing solutions, preferably, the working process of the early warning module includes: and obtaining processing results of various parameters of the cloud database.
And (3) analyzing and judging the numerical values of all the processing results, and if the current verticality is the early warning information, recording the early warning information and feeding back to the pipe network control terminal.
And the pipe network control terminal sends out a corresponding early warning plan according to the received early warning information, distributes the early warning plan to each branch pipe station along the long-distance pipeline network, and finishes overhaul processing of factors causing the early warning information by the current branch pipe station.
Compared with the prior art, the invention has the following beneficial effects:
1. the monitoring system can carry out comprehensive parameter management control on the operation of the long-distance pipeline network with the medium and operation maintenance of the whole long-distance pipeline network, can effectively acquire the temperature of the medium conveyed in the rigid pipeline pipe fitting at each sampling part and simultaneously realize analysis and calculation on the temperature difference change of the medium conveyed in the rigid pipeline pipe fitting, effectively obtain the relatively accurate temperature change rate of the medium conveyed in the rigid pipeline pipe, and ensure the analysis on the temperature loss in the pipeline.
2. The supervision system is different from the traditional conveying pipe network, adopts multi-parameter acquisition and completes data analysis processing, realizes parameter acquisition and analysis of rigid pipe fittings, flange connectors and expansion joints which form the long-distance conveying pipe network, can comprehensively evaluate abnormal loss and abnormal degree and potential safety hazard of the current long-distance conveying pipe network in a medium conveying process and in a long-term running state, ensures that the long-distance conveying pipe network completes evaluation of the running safety of the long-distance conveying pipe network in a normal medium conveying state and effectively early warns in time, effectively realizes early warning and early maintenance management, greatly reduces loss of a large amount of mediums caused by long-term unaware after the pipeline is damaged, and simultaneously avoids the problem of high subsequent maintenance difficulty caused by damage diffusion.
3. Through the analysis of the internal medium temperature and the energy heat preservation loss deviation degree of the pipe network at the tail end, the control of the energy loss deviation of the whole pipe network can be effectively realized, the operation stability of the whole pipe network is effectively judged and analyzed through the deviation degree, the operation stability of the whole pipe network is reversely overhauled and controlled at the first time after the abnormal result appears, the potential safety hazard is predicted in advance, and the operation and maintenance efficiency and effect of the product are improved.
4. When the abnormal condition of the rigid pipe fitting of the pipe network is calculated, primary assignment management and control and final parameter analysis management and control of the overall abnormal coefficient of the pipe network are realized by means of core factors such as the abnormal degree of the pipe wall temperature, the abnormal condition of the end flange and the abnormal condition of the expansion joint, so that the accuracy of an abnormal analysis result is effectively improved, and the monitoring and management effect is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are used in the embodiments will be briefly described below. Like elements or features are generally identified by like reference numerals throughout the drawings. In the drawings, the elements or components are not necessarily drawn to scale.
FIG. 1 is a schematic diagram showing the connection of system modules according to the present invention.
FIG. 2 is a schematic diagram of the connection of the long-distance pipeline network and each branch pipeline station along the way of the invention.
Detailed Description
Embodiments of the technical scheme of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present invention, and thus are merely examples, and are not intended to limit the scope of the present invention.
Please refer to fig. 1-2: the invention provides a supervision system for realizing energy-saving safe operation control of a long-distance pipeline network, which comprises an in-pipeline conveying medium parameter acquisition module, a pipe fitting parameter acquisition module, an energy loss analysis module, a pipeline network operation safety assessment module, an early warning module and a cloud database.
The parameter acquisition module of the conveying medium in the pipe, the parameter acquisition module of the pipe fitting, the energy loss analysis module, the operation safety evaluation module of the pipe network and the early warning module are all in signal connection with the cloud database; the pipe network operation safety evaluation module is in signal connection with the in-pipe conveying medium parameter acquisition module and the pipe fitting parameter acquisition module; the early warning module is in signal connection with a control terminal of the long-distance pipeline network; and the control terminal of the long-distance pipeline network is in signal connection with each branch pipeline station of the long-distance pipeline network.
And the in-pipe conveying medium parameter acquisition module is used for acquiring conveying medium parameter information inside the rigid pipe of each sampling part of the target long-distance conveying pipe network.
And the pipe fitting parameter acquisition module is used for acquiring abnormal parameter information of the rigid pipe of each sampling position in the target long-distance pipeline network.
Further, the obtained abnormal parameter information of the rigid pipe comprises flange piece parameter information and expansion joint parameter information.
And the energy loss analysis module is used for calculating and analyzing the energy loss condition of the conveying medium in the current long-distance conveying pipeline network.
And the pipe network operation safety evaluation module is used for receiving the information of the pipe fitting parameter acquisition module and the in-pipe conveying medium parameter acquisition module and analyzing and evaluating the information.
And the early warning module is used for finishing the regulation and control treatment of the conveying medium in the long-distance pipeline network and the early warning monitoring of each pipe fitting according to the evaluation result of the pipe network operation safety evaluation module.
The cloud database is used for storing all parameter information acquired by each module and all preset parameter information of the acquired long-distance pipeline network.
Further, the obtained conveying medium parameter information in the rigid pipe of each sampling position comprises conveying medium temperature, viscosity and pressure of each sampling point in the rigid pipe.
It should be noted that, the temperature of the conveying medium (including but not limited to high-temperature fluid, steam, etc.) is obtained as a main feature, and meanwhile, when the medium is fluid, the change of the content of the impurities in the medium can be conveniently calculated by obtaining the viscosity of the medium, and meanwhile, the possibility of potential safety hazards such as pipe bursting, pipe fitting leakage of rigid pipe and the like existing in the conveying process of the medium can be conveniently controlled by obtaining the internal pressure.
Further, the specific working process of the in-pipe conveying medium parameter acquisition module comprises the following steps: obtaining the temperature of conveying medium at each sampling point in rigid pipeWherein, the method comprises the steps of, wherein,representing the interior of a currently rigid pipe The number of the temperatures of the individual transport media,。
the method is characterized in that a multipoint sampling mode is adopted when temperature measurement is carried out, so that accuracy of a medium calculation result inside the rigid pipe fitting is effectively guaranteed, the rigid pipe fitting is more attached to a real cutoff temperature change rule and change rate, and temperature acquisition is carried out by a temperature sensor preassembled in a construction time pipeline network and is uploaded.
By analysis of formulasAnd calculating the temperature change rate of the conveying medium in the rigid pipe in the unit distance.
Then combine the analytical formulasCalculating to obtain the temperature change rate of the long-distance conveying medium of the long-distance conveying pipeline network from the starting end to the ending end of the long-distance conveying pipeline networkAnd uploading to a cloud database.
Wherein,representing the first of the long-distance pipeline networkThe number of rigid tube tubes sampled.
Acquiring the temperature change rate of the conveying medium of the long conveying pipeline network in the parameter acquisition module of the conveying medium in the pipelineBy analysis of the numerical values of formula (I)Obtaining the theoretical conveying medium temperature value inside the current point position of the rigid pipe with the length of a meter from the starting point of the long conveying pipe network。
Obtaining the viscosity of the conveying medium inside the rigid pipe of each sampling positionAnd pass through the formulaTo obtain the viscosity of the conveying medium inside the rigid pipe And upload to a cloud database, wherein,the number of sampling points for the consistency of the transport medium.
It should be noted that the available transport medium viscosity was obtainedThe information can be uploaded to a cloud database, the overall viscosity condition of the medium in the current long-distance pipeline network can be obtained by combining the temperature value and the pressure value according to the calculated value of the viscosity of the fluid, and the content of impurities and pollutants in the fluid can be effectively reflected.
Obtaining pressure value of conveying medium in rigid pipe of each sampling positionBy analysis of the formulaObtaining the pressure early warning coefficient of the current point positionWhen the pressure early warning coefficientWhen the pressure pre-warning coefficient is larger than or equal to the pre-warning coefficient threshold value, sending a pre-warning signal, uploading the pressure pre-warning signal and the current point position to a cloud database, and when the pressure pre-warning coefficient is smaller than the pre-warning coefficient threshold value, sending a pressure pre-warning signal and uploading the current point position to the cloud databaseWhen the pre-warning coefficient threshold value is smaller than the pre-warning coefficient threshold value, the analysis formula is adoptedObtaining the pressure value of the available conveying medium inside the rigid pipe。
The method is characterized in that after the pressure value of the conveying medium in the rigid pipe is obtained, and the pressure early warning coefficient is obtained through analysis and calculation, the current operation state of the rigid pipe can be intuitively judged, whether the rigid pipe is in high-pressure or low-pressure operation or not, the abnormal pressure condition is effectively monitored, and the purpose of ensuring normal pressure conveying of the internal medium is effectively achieved; meanwhile, the internal average available conveying medium pressure value of the long-distance conveying pipe network can be obtained by effectively analyzing and calculating the current long-distance conveying pipe network on the premise of ensuring the whole pressure to be in a controllable range.
Further, the specific working process of the pipe fitting parameter acquisition module comprises the following steps: obtaining medium temperature value of inside of rigid pipe of current sampling positionAnd obtaining the ratio of the outer diameter to the inner diameter of the rigid pipe through the basic information of the rigid pipe in the cloud database, and the metal heat conductivity coefficient of the pipe wall.
By the formulaAnd combine formulasObtaining the abnormal temperature degree of the pipe wall of the rigid pipe at the current sampling position。
Wherein,is the average temperature of the wall of the rigid pipe;is the current temperature value of the medium in the pipe;taking a deviation reference value for considering the deviation of the medium temperature between pipes from the average value;the heat flow equalizing coefficient of the medium;is the ratio of the outer diameter to the inner diameter of the rigid tube;the maximum heat flux density outside the tube is the tube row with the maximum heat load;is the heat release coefficient between the inner wall of the tube and the medium;is the thickness of the pipe wall;is the heat conductivity coefficient of the metal of the pipe wall of the rigid pipe.
It should be noted that the number of the substrates,directly acquiring the current temperature value of the medium in the pipe,in order to take the deviation reference value of the medium temperature deviation average value between pipes into consideration, conventional selection is carried out according to the size design parameters and experience values of the current rigid pipe fittings, in addition, the related parameters are directly obtained according to the heat flow equalizing coefficient, the ratio of the outer diameter to the inner diameter of the rigid pipe, the heat release coefficient, the pipe wall thickness, the pipe wall metal heat conduction coefficient, and the like, which are compared with the pipe fitting size, material information and the like in design information, and the like, and the maximum heat flow density outside the pipe of the pipe row with the maximum heat load is directly obtained conventionally according to the setting information of the conveying medium and the size information of the pipe fittings.
And acquiring the size information of end flanges at two ends of the rigid pipe at the current sampling position, the number and size information of bolts on the end flanges, and the number and size information of expansion joints from the pipe product structure information recorded in the cloud database.
The flange part comprises end flange plates and connecting bolts for connecting the two flange plates, when the parameter information of the flange part is obtained, the parameter information of the flange part mainly comprises the size information of the end flange plates, and the size information of each connecting bolt can be directly obtained from part design information pre-stored in a cloud database; in addition, the vibration information of the internal crack of the end flange and the connecting bolt is acquired by the sensor at the corresponding position and then is uploaded with the related information.
Further, the specific working process of the pipe fitting parameter obtaining module further comprises: the crack length of the inner wall of the end flange on the rigid pipe of each sampling position is obtained and recorded asWherein, the method comprises the steps of, wherein,representing the first on the current end flangeNumber of bar cracks.
It should be noted that, considering that the end flange is located at the connecting position of the end pipe joints of two adjacent rigid pipes and is located at the load and stress concentration position, a preloaded vision sensor is adopted to obtain the crack condition and upload the cloud database in time.
Obtaining vibration amplitude of each connecting bolt at end flange joint of rigid pipe of each sampling positionWherein, the method comprises the steps of, wherein,representing the first on the current end flangeAnd the number of the connecting bolts.
When vibration information of each connecting bolt is acquired, a vibration gasket sensor preloaded on the connecting bolt is adopted to acquire the vibration information, and even if the vibration information arrives at the cloud database after the vibration information is acquired.
Calculating the flange anomaly coefficient of the end flange plate of the current sampling part，。
In the above, whenAnd when the number of the overlength cracks on the same flange plate exceeds N, the current overlength flange is marked as a dangerous flange.
Considering the failure condition of the flange caused by the ultra-long crack, taking the ultra-long crack as a failure single consideration variable with potential safety hazard, firstly taking the ultra-long crack into consideration, obtaining the state of the end flange plate according to the crack length information and the number, and classifying the ultra-long crack into a cracked flange and a dangerous flange according to the dangerous grade; when in specific determination, the length index and the number index of the cracks are required to be designed and selected by combining the theoretical working pressure of the conveying medium in the rigid pipe fitting and the specific design parameters, fatigue strength and anti-load value of the end flange.
The obtained flange anomaly coefficientAnd (3) withComparing the flange abnormality threshold values when＞When the current end flange is marked as an abnormal flange; wherein e is a natural constant,respectively represent weight factors, an。
Wherein,the conventional setting is carried out by a person skilled in the art according to the material quality of the current end flange, the load-resisting parameter, the rated working pressure and other parameters.
Further, the specific working process of the pipe fitting parameter obtaining module further comprises: and obtaining structural parameter information of the expansion joint through basic information of the expansion joint in the cloud database.
It should be noted that, the parameter information of the telescopic joint includes the size information of the telescopic joint, and the part can be directly obtained from the part design information pre-stored in the cloud database; in addition, the deformation information of the expansion joint is obtained by the configured sensor and then uploaded to the cloud database.
Obtaining the telescopic deformation length of the telescopic joint at the position of the rigid pipe of the current sampling positionFrequency of expansion/contraction per unit timeThe number of expansion/contraction times per unit time isVibration amplitude of fastener at fixed end of expansion jointWherein, the method comprises the steps of, wherein,indicating the number of the telescopic joint where the current fastener is located,representing the first on the current telescopic joint The number of the fasteners.
By analysis of formulasObtaining the abnormal coefficient of the current expansion joint。
Wherein,the weight factors respectively correspond to the expansion deformation, the pressure early warning coefficient, the internal conveying medium temperature change rate and the vibration amplitude of the fastener, and e is a natural constant; s is the limit allowable expansion amplitude of the expansion joint; length of expansion and contraction deformation in periodThe expansion state when being more than s is marked as super-limit expansion, and the super-limit expansion amplitude is marked asWhen in a period ofAnd when the accumulated times exceeds M times, recording as over-frequency and over-limit expansion, sending out an early warning signal at the moment and uploading the early warning signal to a cloud database.
It should be noted that, the working state of the expansion joint has an important influence on the service life of the expansion joint, when the abnormal coefficient of the expansion joint is calculated, the expansion amplitude of each expansion joint and the vibration amplitude of the fastener used for connecting the expansion joint are used as reference indexes to obtain parameters, and meanwhile, the pressure early-warning coefficient and the internal conveying medium temperature change rate are matched as the working operation environment condition of the current expansion joint to carry out multi-factor analysis and prediction to obtain the abnormal coefficient of the expansion joint in a mode of comprehensively assigning weights, and specific assignment is calculated by a person skilled in the art according to common knowledge in the field, and meanwhile, the problem of relative safety coefficient is considered.
Further, the specific working process of the pipe network operation safety evaluation module comprises the following steps: the number of abnormal flanges, the number of cracked flanges, the number of dangerous flanges and the number of expansion joints with over-frequency and over-limit expansion in the pipe parameter acquisition module are respectively recorded as A, B, C, D, and hidden danger values are assigned.
Wherein, the hidden danger value of each abnormal flange, the over-cracked flange and the dangerous flange is respectively recorded as 1 minute, 3 minutes and 10 minutes; the hidden trouble value of each expansion joint with the over-frequency over-limit expansion is recorded as 6 minutes.
Counting to obtain the total value of hidden trouble values in the whole long-distance pipeline network。
When the hidden trouble value is the total valueWhen the potential hazard value threshold value is greater than or equal to the preset potential hazard value threshold value, the current long-distance transmission system processes the dangerous operation state, sends out an early warning signal, and uploads the position information of each abnormal flange, the cracked flange, the dangerous flange and the telescopic joint with the occurrence of the over-frequency over-limit expansion to the overhaul terminal to send out maintenance early warning.
It should be noted that, the assignment of different scores is performed according to the theoretical dangerous degree of the current end flange and the expansion joint, and the hidden danger value in the whole long-distance pipeline network can be obtained through the assignment of the parts of each grade, so that the occurrence probability of the limit hidden danger can be judged, the early warning and warning can be performed according to the emergency degree, and the specific assignment score is assigned after the limited test calculation by the person skilled in the art. The preset hidden danger value threshold is conventionally selected by a person skilled in the art according to conventional design parameters such as the current design parameters and materials of the end flange expansion joints, the number of the end flanges and expansion joints in the whole pipe network and the like, and meanwhile, the specific numerical value estimation of the preset hidden danger value threshold is obtained according to conventional technology in the art or a theoretical available experience value is directly selected.
When the hidden trouble value is the total valueWhen the processing value is smaller than the threshold value of the preset hidden danger value, the current long-distance pipeline network system processing is primarily judged to be in a primary detection safety state, and all processing results are obtained from the pipe fitting parameter obtaining module and the in-pipe conveying medium parameter obtaining module.
It should be noted that, the grading assignment of each potential safety hazard factor is realized by an assignment method, and then the total assignment is obtained, so that a pointed preliminary supervision and early warning mode can be realized by a mode of calculating a limit value, the method can obtain a preliminary supervision result more rapidly, a relatively comprehensive final inspection is obtained by using an analysis formula after the preliminary inspection is qualified, early warning information is directly sent under the condition of unqualified preliminary inspection, and final inspection is not needed.
By analysis of formulasObtaining the overall anomaly coefficient of the pipe network of the whole conveying pipe network. Wherein,respectively represent the pipe wall temperature anomaly degreeCoefficient of flange anomalyCoefficient of expansion joint abnormalityIs a weight factor of (a).
When the obtained pipe network overall anomaly coefficientAnd when the total abnormal threshold value of the pipe network is smaller than the total abnormal threshold value of the pipe network, judging that the current long-distance pipe network system treatment is in a final inspection safety state.
In the factor analysis, the abnormality of the tube wall temperature is used Coefficient of flange anomalyCoefficient of expansion joint abnormalityThe method realizes the multi-factor weight distribution, can effectively carry out comprehensive analysis and calculation on the pipe wall temperature information, flange piece information and telescopic joint information of each section of rigid pipe fitting in the long-distance officer network, thereby comprehensively and effectively realizing the analysis of the integrally accumulated abnormal coefficients under the condition that each factor reaches the limit value, further achieving the aim of integrally and comprehensively influencing according to multi-factor evaluation analysis and better realizing the effective supervision of the safe operation of the whole long-distance officer network.
Further, the working process of the energy loss analysis module comprises the following steps: and obtaining a processing result in the pipe fitting parameter obtaining module.
When the total length of the conveying pipe network is a meter, the internal theoretical conveying medium temperature value of the rigid pipe at the current point of the tail end of the conveying pipe network。
Acquiring actual conveying medium temperature value at corresponding point inside rigid pipe at tail end。
Calculating the energy heat preservation loss deviation degree of the current long-distance pipeline network through an analysis formula。
Wherein,the energy heat preservation loss deviation degree of the long-distance pipeline network; pi is the circumference ratio;the heat conductivity coefficient of the heat insulation material in the long-distance pipeline network; l is the total length of the long conveying pipe network; Inlet temperature (in kelvin or degrees celsius) for the fluid;is the outlet temperature of the fluid;is the inner diameter of the pipeline;is the outer diameter of the pipeline.
Energy insulation loss deviation degree of long-distance pipeline networkEnergy heat preservation loss deviation threshold value with long-distance pipeline networkAnd comparing the energy of the current long-distance pipeline network with the energy of the current long-distance pipeline network to judge whether the energy of the current long-distance pipeline network has excessive loss or not.
It should be noted that, when the energy loss calculation is performed, a deviation degree mode is adopted to obtain the deviation degree between the current loss and the theoretical loss, and the specific loss is not directly calculated, so that the stability of the operation of the current long-distance pipeline network can be better controlled by adopting the deviation degree, and the dynamic change can be effectively monitored in the operation and maintenance process of the product.
The purpose of judging the energy heat preservation loss deviation degree is to directly obtain the deviation degree of the loss condition and the theoretical loss of the current long-distance pipeline network in actual work, so that whether the system is in a normal working range is judged, the safe running state and the energy excessive loss state of the system are effectively analyzed, and the current excessive loss degree can be calculated according to an analysis formula.
When (when)＜When the energy is not excessively lost in the current long-distance pipeline network.
When (when)≥When the energy consumption of the current long-distance pipeline network is excessive, sending out maintenance early warning and notifying supervisory personnel of each work section position to complete maintenance of each rigid pipeline section of the long-distance pipeline network and reporting the maintenance result in time.
When the whole-section maintenance of the long-distance pipeline network is finished, recalculating the energy heat preservation loss deviation degree of the long-distance pipeline networkUp to＜And judging that the current long-distance pipeline network is overhauled to be qualified and achieving the state that the current long-distance pipeline network has no energy excessive loss.
It should be noted that, whether the energy excessive loss exists currently can be judged according to the analysis and calculation result, when the calculation result shows that the energy excessive loss exists, the control terminal of the long-distance pipeline network system can timely send out an early warning signal in cooperation with the cloud database, supervision personnel at each work section can check specific abnormal conditions of each rigid pipeline in the current area and timely report the processing result after monitoring and overhauling, the analysis and assessment process is repeated after the reporting result is counted and timely recorded until the analysis result meets the requirement, and the purpose of implementing supervision and implementation of regulation is achieved by optimizing and regulating the running state of the whole long-distance pipeline network through the operation and maintenance of the long-distance pipeline network at each current section.
Further, the working process of the early warning module comprises the following steps: and obtaining processing results of various parameters of the cloud database.
And (3) analyzing and judging the numerical values of all the processing results, and if the current verticality is the early warning information, recording the early warning information and feeding back to the pipe network control terminal.
And the pipe network control terminal sends out a corresponding early warning plan according to the received early warning information, distributes the early warning plan to each pipe network branch pipe station along the long-distance pipe network, and finishes overhaul processing of factors causing the early warning information by the current branch pipe station.
The early warning module is connected with the cloud database and the control terminal of the long-distance pipeline network, and can receive all early warning information of the cloud database, send early warning and send the information to the control terminal of the long-distance pipeline network, extract corresponding preset early warning schemes according to fault problems corresponding to all the early warning information by means of the control terminal, and send the early warning schemes to all branch pipe stations for execution, so that the purposes of fault in place and fault in-place matching early warning are achieved, timely overhaul and maintenance are achieved, the whole long-distance pipeline network is effectively guaranteed to be in a controllable safe operation state, timeliness of fault supervision, timeliness of fault early warning, accuracy of fault positioning, pertinence and timeliness of fault maintenance instructions are guaranteed, and timeliness of maintenance result inspection is guaranteed by continuing real-time supervision after fault maintenance is finished.
The supervision system is different from the traditional conveying pipe network, adopts multi-parameter acquisition and completes data analysis processing, realizes the parameter acquisition and analysis of rigid pipe fittings, flange parts and expansion joints which form the long-distance conveying pipe network, and can comprehensively evaluate the abnormal loss and the abnormal degree and potential safety hazard of the current long-distance conveying pipe network in the medium conveying process and in the long-term running state.
The method ensures that the assessment of the operation safety of the long-distance pipeline network is completed and timely and effectively early warning is carried out under the state that the long-distance pipeline network normally conveys the medium, effectively realizes early warning and early maintenance management, greatly reduces the loss of a large amount of medium caused by long-term unaware after the pipeline is damaged, and simultaneously avoids the problem of high subsequent maintenance difficulty caused by damage diffusion.
The monitoring system can carry out comprehensive parameter management control on the operation of the long conveying pipe network with the medium and operation maintenance of the whole long conveying pipe network, can effectively acquire the temperature of the conveying medium in the rigid pipe fitting of each sampling part, simultaneously realize analysis and calculation on the temperature difference change of the conveying medium, effectively obtain the relatively accurate temperature change rate of the conveying medium in the rigid pipe, and ensure the analysis on the temperature loss in the pipe. When the abnormal condition of the rigid pipe fitting of the pipe network is calculated, primary assignment management and control and final parameter analysis management and control of the overall abnormal coefficient of the pipe network are realized by means of core factors such as the abnormal degree of the pipe wall temperature, the abnormal condition of the end flange and the abnormal condition of the expansion joint, so that the accuracy of an abnormal analysis result is effectively improved, and the monitoring and management effect is improved.
Through the analysis of the internal medium temperature and the energy heat preservation loss deviation degree of the pipe network at the tail end, the control of the energy loss deviation of the whole pipe network can be effectively realized, the operation stability of the whole pipe network is effectively judged and analyzed through the deviation degree, the operation stability of the whole pipe network is reversely overhauled and controlled at the first time after the abnormal result appears, the potential safety hazard is predicted in advance, and the operation and maintenance efficiency and effect of the product are improved.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the corresponding technical solutions; any alternative modifications or variations to the embodiments of the present invention will fall within the scope of the present invention for those skilled in the art.
The present invention is not described in detail in the present application, and is well known to those skilled in the art.
Claims (4)
1. A supervisory system for realizing energy-saving safe operation control of a long-distance pipeline network is characterized in that: comprising the following steps: the in-pipe conveying medium parameter acquisition module is used for acquiring conveying medium parameter information inside the rigid pipe of each sampling part of the target long-distance conveying pipe network; the pipe fitting parameter acquisition module is used for acquiring abnormal parameter information of the rigid pipe of each sampling position in the target long-distance pipeline network, wherein the acquired abnormal parameter information of the rigid pipe comprises flange part parameter information and telescopic joint parameter information; the energy loss analysis module is used for calculating and analyzing the energy loss condition of the conveying medium in the current long-distance conveying pipeline network; the pipe network operation safety evaluation module is used for receiving the information of the pipe fitting parameter acquisition module and the in-pipe conveying medium parameter acquisition module and analyzing and evaluating the information; the early warning module is used for finishing the regulation and control treatment of the conveying medium in the long-distance pipeline network and the early warning monitoring of each pipe fitting according to the evaluation result of the pipe network operation safety evaluation module; the cloud database is used for storing all parameter information acquired by each module and all preset parameter information of the acquired long-distance pipeline network;
the obtained conveying medium parameter information in the rigid pipe of each sampling position comprises conveying medium temperature, viscosity and pressure of each sampling point in the rigid pipe;
The specific working process of the pipe fitting parameter acquisition module comprises the following steps: obtaining medium temperature value of inside of rigid pipe of current sampling positionObtaining the ratio of the outer diameter to the inner diameter of the rigid pipe through the basic information of the rigid pipe in the cloud database, and obtaining the metal heat conductivity coefficient of the pipe wall; by the formula->And combine formulasObtaining the pipe wall temperature anomaly degree of the rigid pipe at the current sampling position>The method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>Is the average temperature of the wall of the rigid pipe; />Is the current in-pipe mediumA temperature value of the mass; />Taking a deviation reference value for considering the deviation of the medium temperature between pipes from the average value; />The heat flow equalizing coefficient of the medium; />Is the ratio of the outer diameter to the inner diameter of the rigid tube; />The maximum heat flux density outside the tube is the tube row with the maximum heat load; />Is the heat release coefficient between the inner wall of the tube and the medium; />Is the thickness of the pipe wall; />The heat conductivity coefficient of the metal pipe wall of the rigid pipe; acquiring size information of end flanges at two ends of a rigid pipe at a current sampling position, the number and size information of bolts on the end flanges, and the number and size information of expansion joints from pipe product structure information recorded in a cloud database;
the specific working process of the in-pipe conveying medium parameter acquisition module comprises the following steps: obtaining the temperature of conveying medium at each sampling point in rigid pipe Wherein->Represents the +.o inside the current rigid tube>The number of the temperatures of the individual transport media,the method comprises the steps of carrying out a first treatment on the surface of the By analysis of the formula->Calculating to obtain the temperature change rate of the conveying medium in the rigid pipe in unit distance; then combine the analytical formula->Calculating to obtain the temperature change rate of the long-distance conveying medium of the long-distance conveying pipeline network from the starting end to the ending end of the long-distance conveying pipeline network>Uploading to a cloud database; wherein (1)>Representing +.>Numbering of the sampled rigid tube; obtaining the temperature change rate of the long conveying pipeline network conveying medium in the in-pipeline conveying medium parameter obtaining module>By analysis of the values of formula +.>Obtaining the theoretical conveying medium temperature value in the current point position of the rigid pipe with the length of a meter from the starting point of the long conveying pipe network>The method comprises the steps of carrying out a first treatment on the surface of the The viscosity of the transport medium inside the rigid tube of each sampling site is determined>And is>To obtain the available conveying medium viscosity inside the rigid pipe>And upload to cloud database, wherein ∈Temp>Numbering the sampling points of the viscosity of the conveying medium; obtaining the pressure value of the conveying medium in the rigid pipe of each sampling position>By analysis formula->Obtaining the pressure early warning coefficient of the current point position >When the pressure early warning coefficient->When the pre-warning coefficient threshold value is greater than or equal to the pre-warning coefficient threshold value, sending out an early warning signal, uploading the pressure early warning signal and the current point position to a cloud database, and when the pressure early warning coefficient is +.>When the early warning coefficient threshold value is smaller than the early warning coefficient threshold value, the early warning coefficient threshold value is represented by an analysis formula +.>Obtaining the available transport medium pressure value inside the tube of the current rigid tube +.>；
The pipe network operation safety evaluation moduleThe specific working process of (1) comprises the following steps: acquiring all processing results from the pipe fitting parameter acquisition module and the in-pipe conveying medium parameter acquisition module; by analysis of formulasObtaining the pipe network integral anomaly coefficient of the whole conveying pipe network>Wherein, the method comprises the steps of, wherein,respectively represent the abnormality degree of the tube wall temperature>Flange anomaly coefficient->Expansion joint abnormality coefficient->Weight factors of (2); when the obtained pipe network overall abnormality coefficient is +.>When the total abnormal threshold value of the pipe network is smaller than the total abnormal threshold value of the pipe network, judging that the current long-distance pipe network system treatment is in a final inspection safety state;
the working process of the energy loss analysis module comprises the following steps: acquiring a processing result in the pipe fitting parameter acquisition module; when the total length of the conveying pipe network is a meter, the internal theoretical conveying medium temperature value of the rigid pipe at the current point of the tail end of the conveying pipe network The method comprises the steps of carrying out a first treatment on the surface of the Acquiring the actual temperature value of the conveying medium at the corresponding point inside the rigid pipe at the tail end>Calculating the current long-distance pipeline network through an analysis formulaEnergy conservation loss bias degree +.>Wherein->The energy heat preservation loss deviation degree of the long-distance pipeline network; pi is the circumference ratio; />The heat conductivity coefficient of the heat insulation material in the long-distance pipeline network; l is the total length of the long conveying pipe network; />Inlet temperature (in kelvin or degrees celsius) for the fluid; />Is the outlet temperature of the fluid; />Is the inner diameter of the pipeline; />Is the outer diameter of the pipeline; energy insulation loss deviation degree of long-distance pipeline network>Deviation threshold value of energy insulation loss from long-distance pipeline network>Comparing, judging whether the energy of the current long-distance pipeline network has excessive loss; when->＜/>When the energy consumption of the current long-distance pipeline network is not excessive; when->≥/>When the energy consumption of the current long-distance pipeline network is excessive, sending out maintenance early warning and notifying supervisory personnel at each work section position to complete maintenance on each rigid pipeline section of the long-distance pipeline network and reporting the maintenance result in time; when the whole-section maintenance of the long-distance pipeline network is finished, recalculating the energy heat preservation loss deviation degree of the long-distance pipeline network>Up to->＜/>And judging that the current long-distance pipeline network is overhauled to be qualified and achieving the state that the current long-distance pipeline network has no energy excessive loss.
2. A supervisory system for implementing energy saving safe operation control of a long distance pipeline network according to claim 1, wherein: the specific working process of the pipe fitting parameter acquisition module further comprises the following steps:
the crack length of the inner wall of the end flange on the rigid pipe of each sampling position is obtained and recorded asWherein->Representing the +.o on the current end flange>Numbering of the strip cracks;
obtaining vibration amplitude of each connecting bolt at end flange joint of rigid pipe of each sampling positionDegree ofWherein->Representing the +.o on the current end flange>Numbering the connecting bolts;
calculating the flange anomaly coefficient of the end flange plate of the current sampling part，The method comprises the steps of carrying out a first treatment on the surface of the In the above formula, when->When the number of the overlength cracks on the same flange plate exceeds N, the current overlength flange is marked as a dangerous flange;
the obtained flange anomaly coefficientAnd->Flange abnormality threshold value is compared, when->＞/>When the current end flange is marked as an abnormal flange; wherein e is a natural constant, < >>Respectively represent weight factors, and- >。
3. A supervisory system for implementing energy saving safe operation control of a long distance pipeline network according to claim 2, wherein: the specific working process of the pipe fitting parameter acquisition module further comprises the following steps:
obtaining structural parameter information of the expansion joint through basic information of the expansion joint in the cloud database;
obtaining the telescopic deformation length of the telescopic joint at the position of the rigid pipe of the current sampling positionExpansion frequency per unit time +.>The number of expansion/contraction per unit time is +.>Vibration amplitude of fastener at fixed end of telescopic joint>Wherein, the method comprises the steps of, wherein,number indicating expansion joint where current fastener is located, < ->Representing the +.>A number of fasteners;
by analysis of formulasObtaining the abnormal coefficient of the current telescopic joint->；
Wherein,the weight factors respectively correspond to the expansion deformation, the pressure early warning coefficient, the internal conveying medium temperature change rate and the vibration amplitude of the fastener, and e is a natural constant; s is the limit allowable expansion amplitude of the expansion joint.
4. A supervisory system for implementing energy efficient and safe operation control of a long-distance pipeline network according to claim 3, wherein: the working process of the early warning module comprises the following steps:
obtaining processing results of various parameters of a cloud database;
Analyzing and judging the numerical values of all the processing results, and if the current verticality is early warning information, recording and feeding back the early warning information to a pipe network control terminal;
and the pipe network control terminal sends out a corresponding early warning plan according to the received early warning information, distributes the early warning plan to each branch pipe station along the long-distance pipeline network, and finishes overhaul processing of factors causing the early warning information by the current branch pipe station.
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