CN111720747A - Dangerous chemical transportation safety real-time monitoring and early warning management system based on big data - Google Patents
Dangerous chemical transportation safety real-time monitoring and early warning management system based on big data Download PDFInfo
- Publication number
- CN111720747A CN111720747A CN202010627203.9A CN202010627203A CN111720747A CN 111720747 A CN111720747 A CN 111720747A CN 202010627203 A CN202010627203 A CN 202010627203A CN 111720747 A CN111720747 A CN 111720747A
- Authority
- CN
- China
- Prior art keywords
- welding seam
- oil
- detection
- welding
- region
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Images
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
- F17D5/02—Preventing, monitoring, or locating loss
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Examining Or Testing Airtightness (AREA)
Abstract
The invention discloses a real-time monitoring and early warning management system for transportation safety of hazardous chemicals based on big data, which comprises an oil hole leakage detection module, a temperature acquisition and processing module, a pressure detection and processing module, a vibration detection and processing module, a leakage grade analysis module, an explosion coefficient analysis module, a storage database, a central server, an early warning module and a monitoring display terminal, wherein the system can carry out real-time monitoring on oil gas leakage concentration of an oil inlet hole and an oil outlet hole of an oil tank, simultaneously detect the internal and external temperature, the internal and external pressure and the vibration speed of the oil tank, analyze the explosion coefficient of the oil tank truck by integrating the factors, carry out alarm at different levels by comparing the explosion coefficient of a pipeline with a safety explosion coefficient threshold value, realize effective monitoring on the safe transportation of the oil tank truck, can predict the explosion phenomenon of the oil tank in advance, and maximally reduce safety accidents caused by the explosion of the oil tank, the safety of the oil tank in the transportation process is effectively guaranteed.
Description
Technical Field
The invention relates to the technical field of dangerous chemical transportation safety management, in particular to a real-time monitoring and early warning management system for dangerous chemical transportation safety based on big data.
Background
In recent years, the road transportation volume of hazardous chemicals is increased year by year, the hazardous chemicals mainly comprise flammable and explosive oil products, chemical agents, fireworks and crackers and the like, and the hazardous chemicals are transported by multiple enterprises, large in transport vehicles and complex in personnel, so that the security supervision of the hazardous chemicals is challenged. China is a large country for consuming petroleum and chemical products, along with the steady development of economy, the demand of various industries on petroleum is more and more large, the transportation of the finished oil is promoted to be more and more normalized, the oil tank truck plays an important role in the process of transporting the petroleum, the finished oil is transported to a gas station from an oil depot for the use of various industries, and as the finished oil is flammable, explosive and volatile, a plurality of potential safety hazards exist in the transportation of the oil tank truck, and safety accidents are easily caused, so that the enhancement of the transportation safety prevention and control of the oil tank truck is very important.
The invention relates to a safety prevention and control system for transportation of an oil tank truck, which mainly aims at preventing leakage and explosion, the current safety prevention and control for transportation of the oil tank truck only detects whether an oil tank has oil spilling or oil leakage, and the current safety prevention and explosion detection for transportation of the oil tank truck only detects whether inflammable matters exist in the oil tank truck, the monitoring level is low, the slight leakage phenomenon of an oil inlet hole and an oil outlet hole of the oil tank truck is not considered, and the explosion of the oil tank truck cannot be predicted in advance according to the temperature, pressure and vibration parameters of the oil tank truck.
Disclosure of Invention
The invention aims to provide a real-time monitoring and early warning management system for transportation safety of hazardous chemical substances based on big data, which monitors the oil gas leakage concentration of an oil inlet and an oil outlet of an oil tank in real time through an oil hole leakage detection module, detects the internal and external temperature, the internal and external pressure and the vibration speed of the oil tank by combining a temperature acquisition processing module, a pressure detection processing module and a vibration detection processing module, analyzes and predicts the explosion coefficient of an oil tank truck by combining the factors, and solves the problems mentioned in the background technology.
The purpose of the invention can be realized by the following technical scheme:
a real-time monitoring and early warning management system for hazardous chemical transportation safety based on big data comprises an oil hole leakage detection module, a temperature acquisition processing module, a pressure detection processing module, a vibration detection processing module, a leakage grade analysis module, an explosion coefficient analysis module, a storage database, a central server, an early warning module and a monitoring display terminal;
the oil hole leakage detection system comprises a leakage grade analysis module, an explosion coefficient analysis module, a central server, an early warning module, a monitoring display terminal, a temperature acquisition processing module, a pressure detection processing module, a vibration detection processing module, a pressure acquisition processing module, a storage database, a pressure acquisition processing module, a vibration detection processing module, a pressure acquisition processing module;
the oil hole leakage detection module comprises an oil gas detector for detecting the oil gas leakage concentration of the oil inlet hole and the oil outlet hole of the oil tank truck, and the detection method specifically comprises the following steps:
s1: taking an oil inlet and an oil outlet of an oil tank as circle centers respectively, taking different distances from the oil inlet and the oil outlet of the oil tank as radiuses to make concentric circles, respectively emitting rays outwards from the oil inlet and the oil outlet of the oil tank, intersecting the rays with the concentric circles with the oil inlet and the oil outlet as the circle centers and different radiuses, taking the intersection point as a detection point of the oil inlet and the oil outlet, numbering the detection points of the oil inlet according to the sequence of the different distances from the oil inlet, respectively recording the detection points as 1,2, 1, i, n, numbering the detection points of the oil inlet according to the sequence of the different distances from the oil outlet, respectively recording the detection points as 1 ', 2', i ', i, n';
s2: respectively installing oil gas detectors at each detection point of the oil inlet and the oil outlet of the oil tank, detecting the oil gas leakage concentration of each detection point of the oil inlet and the oil outlet of the oil tank, and forming an oil gas leakage concentration set C of the detection points of the oil inlet and the oil outlet by the obtained oil gas leakage concentration values of each detection point of the oil inlet and the oil outletInto(cInto1,cInto2,...,cIntoi,...,cInton)、CGo out′(cGo out1′,cGo out2′,...,cGo outi′,...,cGo outn′)，cIntoi represents the oil and gas leakage concentration of the ith detection point of the oil inlet hole, cGo outi' represents the oil gas leakage concentration of the ith detection point of the oil outlet;
s3: counting the oil gas leakage concentration mean values of the oil inlet and the oil outlet holes for the oil gas leakage concentration set of the detection points of the oil inlet and the oil outlet holes, and sending the counted average oil gas leakage concentration of the oil inlet and the oil outlet holes to a leakage grade analysis module;
the leakage grade analysis module is used for receiving the average oil gas leakage concentration of the oil inlet and the oil outlet sent by the oil hole leakage detection module, extracting the oil gas leakage concentration corresponding to each oil gas leakage grade stored in the storage database, screening the oil gas leakage grade corresponding to the average oil gas leakage concentration of the oil inlet and the oil outlet, sending the average oil gas leakage concentration of the oil inlet and the oil outlet to the monitoring display terminal by the leakage grade analysis module, and sending the leakage grade of the oil inlet and the oil outlet of the oil tank to the central server;
the storage database is used for storing oil gas leakage concentration corresponding to each oil gas leakage grade, storing temperature influence coefficients corresponding to each external temperature range of the oil tank, and storing a safe explosion coefficient threshold value of a welding seam region and a safe explosion coefficient threshold value of a non-welding seam region;
the pressure detection processing module comprises a plurality of pressure sensors, the pressure sensors are used for detecting the internal pressure and the external pressure of the oil tank, the whole oil tank is divided into a plurality of detection subareas according to a preset dividing mode, the pressure sensors are respectively arranged on the inner side and the outer side of each detection subarea and are used for detecting the internal pressure and the external pressure of each detection subarea, the internal pressure and the external pressure of each detection subarea are compared to obtain an internal pressure difference and an external pressure difference, the internal pressure difference and the external pressure difference are marked as delta P, the internal pressure difference and the external pressure difference of each detection subarea form a detection subarea pressure difference set delta P (delta P1, delta P2, delta pj, … and delta pm), the delta pj is expressed as the internal pressure difference and the external pressure difference of the jth detection subarea, m is expressed as the total number of the detection subareas, and theWelding of(ΔpWelding of1,ΔpWelding of2,...,ΔpWelding ofk,...,ΔpWelding ofl) and set of pressure differences Δ P in the non-welded areaIs not(ΔpIs not1,ΔpIs not2,...,ΔpIs notg,...,ΔpIs noth),ΔpWelding ofk is expressed as the pressure difference, Δ p, of the kth weld detection sub-regionIs notg represents the pressure difference of the g-th non-welding seam detection subarea, l represents the number of the welding seam detection subareas, h represents the number of the non-welding seam detection subareas, and l + h is m, the pressure difference of each welding seam detection subarea in the welding seam area pressure difference set is compared with the standard internal and external pressure difference of the corresponding welding seam detection subarea to obtain a contrast value, the internal and external pressure cumulant of the welding seam area is counted, and the internal and external pressure cumulant of the non-welding seam area is countedThe pressure detection processing module sends the counted cumulative difference of the pressure inside and outside the welding seam area and the cumulative difference of the pressure inside and outside the non-welding seam area to the explosion coefficient analysis module;
the temperature acquisition and processing module comprises a plurality of temperature sensors which are respectively arranged on the outer side of the oil tank and the inner sides of each welding seam detection subarea and each non-welding seam detection subarea of the oil tank and used for detecting the outer temperature of the oil tank and the inner temperature of each welding seam detection subarea and each non-welding seam detection subarea of the oil tank, and the obtained inner temperature of each welding seam detection subarea forms a temperature set T in each welding seam areaWelding of(tWelding of1,tWelding of2,...,tWelding ofk,...,tWelding ofl), the obtained inner temperature of each non-welding seam detection sub-region forms a non-welding seam region inner temperature set TIs not(tIs not1,tIs not2,...,tIs notg,...,tIs noth) The temperature acquisition and processing module sends the external temperature of the oil tank, the temperature set in the welding seam region and the temperature set in the non-welding seam region to the explosion coefficient analysis module;
the vibration detection processing module comprises a plurality of vibration speed sensors which are respectively arranged outside each welding seam detection subarea and each non-welding seam detection subarea of the oil tank and are used for detecting the vibration speed of each welding seam detection subarea and each non-welding seam detection subarea of the oil tank when a vehicle runs, and the obtained vibration speed of each welding seam detection subarea forms a welding seam area vibration speed set VWelding of(vWelding of1,vWelding of2,...,vWelding ofk,...,vWelding ofl) the obtained vibration speeds of the non-welding seam detection subareas form a non-welding seam area vibration speed set VIs not(vIs not1,vIs not2,...,vIs notg,...,vIs noth) The vibration detection processing module sends the welding seam region vibration speed set and the non-welding seam region vibration speed set to the explosion coefficient analysis module;
the explosion coefficient analysis module receives the cumulative difference of the pressure inside and outside the welding seam region and the cumulative difference of the pressure inside and outside the non-welding seam region sent by the pressure detection processing module, receives the external temperature of the oil tank, the internal temperature set of the welding seam region and the internal temperature set of the non-welding seam region sent by the temperature acquisition processing module, receives the vibration speed set of the welding seam region and the vibration speed set of the non-welding seam region sent by the vibration detection processing module, extracts the temperature influence coefficients corresponding to the external temperature ranges of the oil tank in the storage database, screens the temperature safety influence coefficients corresponding to the external temperature of the oil tank, collects the received cumulative difference of the pressure inside and outside the welding seam region, the received internal temperature set of the welding seam region and the vibration speed set of the welding seam region, counts the explosion coefficients of the welding seam region, counts the received cumulative difference of the pressure inside and outside the non-welding seam region, the received internal temperature set of, the explosion coefficient analysis module sends the explosion coefficient of the welding seam area and the explosion coefficient of the non-welding seam area to a central server;
the central server receives the leakage levels of the oil inlet and the oil outlet sent by the leakage level analysis module and sends early warning control instructions of corresponding levels to the early warning module;
meanwhile, the central server receives the welding seam region explosion coefficient and the non-welding seam region explosion coefficient sent by the explosion coefficient analysis module, and respectively compares the welding seam region explosion coefficient and the non-welding seam region explosion coefficient with a preset welding seam region safe explosion coefficient threshold value and a preset non-welding seam region safe explosion coefficient threshold value, if the welding seam region explosion coefficient or the non-welding seam region explosion coefficient is larger than 5% of the safe explosion coefficient threshold value corresponding to the region, the central server sends a level I early warning control instruction to the early warning module, if the welding seam region explosion coefficient or the non-welding seam region explosion coefficient is larger than 10% of the safe explosion coefficient threshold value corresponding to the region, the central server sends a level II early warning control instruction to the early warning module, and if the welding seam region explosion coefficient or the non-welding seam region explosion coefficient is larger than 15% of the safe explosion coefficient threshold value;
the early warning module receives an early warning control instruction sent by the central server and carries out early warning of different levels;
and the monitoring display terminal is used for receiving and displaying the average oil gas leakage concentration of the oil inlet and the oil outlet sent by the leakage grade analysis module and the welding seam region explosion coefficient and the non-welding seam region explosion coefficient sent by the central server.
Preferably, the calculation formula of the average oil gas leakage concentration of the oil inlet hole is
cIntoi represents the oil gas leakage concentration of the ith detection point of the oil inlet; the calculation formula of the average oil gas leakage concentration of the oil outlet hole is
cGo outAnd i' represents the oil and gas leakage concentration of the ith detection point of the oil outlet hole.
Further, the preset dividing mode is that the length and the diameter of the oil tank are evenly divided into equal parts, and the oil tank is divided into a plurality of mutually connected detection subareas with the same volume.
Further, the calculation formula of the cumulative difference of the internal pressure and the external pressure of the welding seam area is
ΔpWelding ofk is expressed as the pressure difference, Δ p, of the kth weld detection sub-regionWelding 0k is the standard internal and external pressure difference of the kth welding seam detection subarea, and l is the number of the welding seam detection subareas;
the calculation formula of the cumulative difference of the internal pressure and the external pressure in the non-welding seam area is
ΔpIs notg is expressed as the pressure difference, Δ p, of the g-th non-weld-detecting sub-areaIs not 0g is the standard internal and external pressure difference of the g-th non-welding seam detection subarea, and h is the number of the non-welding seam detection subareas.
Further, a calculation formula of explosion coefficient of a welding seam area
DWelding ofExpressed as the cumulative difference of pressure inside and outside the weld zone, λTExpressed as the temperature coefficient of influence, t, corresponding to the detected external temperature of the tankWelding ofk is expressed as the internal temperature of the kth weld detection subregion, vWelding ofk represents the vibration speed of the kth welding seam detection subarea, and l represents the number of the welding seam detection subareas;
formula for calculating explosion coefficient of non-welded seam area
DIs notExpressed as the cumulative difference of pressure inside and outside the non-welded region, lambdaTExpressed as the temperature coefficient of influence, t, corresponding to the detected external temperature of the tankIs notg is expressed as the internal temperature of the g-th non-weld detection sub-region, vIs notg represents the vibration speed of the g-th non-solder-joint detection sub-area, and h represents the number of non-solder-joint detection sub-areas.
Furthermore, the I-level early warning mode is voice broadcast, the II-level early warning mode is buzzer early warning, and the III-level early warning mode is acousto-optic early warning.
Has the advantages that:
(1) according to the invention, the oil-gas leakage concentration of the oil inlet and the oil outlet of the oil tank is monitored in real time through the oil hole leakage detection module, the internal and external temperature, the internal and external pressure and the vibration speed of the oil tank are detected by combining the temperature acquisition processing module, the pressure detection processing module and the vibration detection processing module, the explosion coefficient of the oil tank truck is analyzed by integrating the factors, different levels of alarm are carried out by comparing the explosion coefficient of the pipeline with the safety explosion coefficient threshold value, the effective monitoring on the safe transportation of the oil tank truck is realized, the monitoring level is improved, the explosion phenomenon of the oil tank can be predicted in advance, the safety accident caused by the explosion of the oil tank is reduced to the maximum extent, and the safety in the transportation process of the oil tank is effectively ensured.
(2) According to the oil hole leakage detection module, the oil inlet hole and the oil outlet hole are taken as centers, the plurality of detection points are divergently arranged outwards to detect the oil gas leakage concentration, the detected oil gas leakage concentration is closer to a real value, and the oil gas leakage concentration detection error phenomenon caused by a single detection point is avoided.
(3) According to the invention, the oil tank is divided into the welding line area and the non-welding line area according to whether the areas of the detection subareas of the oil tank have welding lines or not, the explosion coefficients of the welding line area and the non-welding line area are counted in different areas, and meanwhile, the safe explosion coefficient threshold value of the welding line area and the safe explosion coefficient threshold value of the non-welding line area are set according to the different self explosion-proof requirements of the welding line area and the non-welding line area of the oil tank, so that the comparative analysis of the explosion coefficients of the oil tank by using the same safe explosion coefficient threshold value is avoided, and the rationality and the intelligence.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic block diagram of the present invention;
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a real-time monitoring and early warning management system for hazardous chemical transportation safety based on big data includes an oil hole leakage detection module, a temperature acquisition processing module, a pressure detection processing module, a vibration detection processing module, a leakage grade analysis module, an explosion coefficient analysis module, a storage database, a central server, an early warning module and a monitoring display terminal.
The leakage grade analysis module is connected with the oil hole leakage detection module, the explosion coefficient analysis module is respectively connected with the temperature acquisition processing module, the pressure detection processing module and the vibration detection processing module, the central server is respectively connected with the leakage grade analysis module, the explosion coefficient analysis module and the storage database, the early warning module is connected with the central server, and the monitoring display terminal is respectively connected with the leakage grade analysis module and the explosion coefficient analysis module.
The oil hole leakage detection module comprises an oil gas detector for detecting the oil gas leakage concentration of the oil inlet hole and the oil outlet hole of the oil tank truck, and the detection method comprises the following steps:
s1: the method comprises the steps that a concentric circle is made by taking an oil inlet and an oil outlet of an oil tank as the circle center and different distances from the oil inlet and the oil outlet of the oil tank as radiuses, rays are emitted out of the oil inlet and the oil outlet of the oil tank respectively, the rays are intersected with the concentric circles with different radiuses and taking the oil inlet and the oil outlet as the circle center, the intersection point is used as a detection point of the oil inlet and the oil outlet, the detection points of the oil inlet are numbered according to the sequence of the different distances from the oil inlet and are respectively marked as 1,2, 1, i, n, the detection points of the oil inlet are numbered according to the sequence of the different distances from the oil outlet and are respectively marked as 1 ', 2', i ', n', the arrangement of a plurality of detection points enables the detected oil gas leakage concentration to be closer to a true value, and the oil gas leakage concentration detection error phenomenon caused by a single detection;
s2: respectively installing oil gas detectors at each detection point of the oil inlet and the oil outlet of the oil tank, detecting the oil gas leakage concentration of each detection point of the oil inlet and the oil outlet of the oil tank, and forming an oil gas leakage concentration set C of the detection points of the oil inlet and the oil outlet by the obtained oil gas leakage concentration values of each detection point of the oil inlet and the oil outletInto(cInto1,cInto2,...,cIntoi,...,cInton)、CGo out′(cGo out1′,cGo out2′,...,cGo outi′,...,cGo outn′)，cIntoi represents the oil and gas leakage concentration of the ith detection point of the oil inlet hole, cGo outi' represents the oil gas leakage concentration of the ith detection point of the oil outlet;
s3: counting the oil gas leakage concentration mean value of the oil gas leakage concentration sets of the oil inlet and outlet hole detection points, wherein the calculation formula of the average oil gas leakage concentration of the oil inlet hole is
cIntoi represents the oil gas leakage concentration of the ith detection point of the oil inlet hole, and the calculation formula of the average oil gas leakage concentration of the oil outlet hole is
cGo outAnd i' represents the oil gas leakage concentration of the ith detection point of the oil outlet hole, and the statistical average oil gas leakage concentration of the oil inlet hole and the oil outlet hole is sent to a leakage grade analysis module.
And the storage database is used for storing oil gas leakage concentration corresponding to each oil gas leakage grade, storing temperature influence coefficients corresponding to each external temperature range of the oil tank, and storing a safe explosion coefficient threshold value in a welding seam area and a safe explosion coefficient threshold value in a non-welding seam area.
And the leakage grade analysis module is used for receiving the average oil gas leakage concentration of the oil inlet and the oil outlet sent by the oil hole leakage detection module, extracting the oil gas leakage concentration corresponding to each oil gas leakage grade stored in the storage database, screening the oil gas leakage grade corresponding to the average oil gas leakage concentration of the oil inlet and the oil outlet, sending the average oil gas leakage concentration of the oil inlet and the oil outlet to the monitoring display terminal, and sending the leakage grade of the oil inlet and the oil outlet of the oil tank to the central server.
The pressure detection processing module comprises a plurality of pressure sensors for detecting the internal pressure and the external pressure of the oil tank, evenly dividing the length and the diameter of the whole oil tank into a plurality of detection subareas which have the same volume and are mutually connected, the plurality of pressure sensors are respectively arranged at the inner side and the outer side of each detection subarea, the device is used for detecting the internal pressure and the external pressure of each detection sub-region, comparing the internal pressure and the external pressure of each detection sub-region to obtain an internal and external pressure difference, which is recorded as delta P, wherein the internal and external pressure differences of each detection sub-region form a detection sub-region pressure difference set delta P (delta P1, delta P2, delta pj, delta P m), the delta P is expressed as the internal and external pressure difference of the jth detection sub-region, m is expressed as the total number of the detection sub-regions, and dividing the pressure difference set of the detection sub-regions into a pressure difference set delta P of the welding region according to whether the region to which each detection sub-region belongs has a welding seam.Welding of(ΔpWelding of1,ΔpWelding of2,...,ΔpWelding ofk,...,ΔpWelding ofl) and set of pressure differences Δ P in the non-welded areaIs not(ΔpIs not1,ΔpIs not2,...,ΔpIs notg,...,ΔpIs noth),ΔpWelding ofK-meterShown as the pressure difference, Δ p, of the kth weld detector sub-regionIs notg is the pressure difference of the g-th non-welding seam detection subarea, l is the number of the welding seam detection subareas, h is the number of the non-welding seam detection subareas, l + h is m, the pressure difference of each welding seam detection subarea in the welding seam area pressure difference set is compared with the standard internal and external pressure difference of the corresponding welding seam detection subarea to obtain a contrast value, and the accumulated difference of the internal and external pressures in the welding seam area is counted
ΔpWelding ofk is expressed as the pressure difference, Δ p, of the kth weld detection sub-regionWelding 0k is the standard internal and external pressure difference of the kth welding seam detection subarea, l is the number of the welding seam detection subareas, the pressure difference of each non-welding seam detection subarea in the non-welding seam area pressure difference set is compared with the standard internal and external pressure difference of the corresponding non-welding seam detection subarea to obtain a contrast value, and the cumulative difference of the internal and external pressures in the non-welding seam area is counted
ΔpIs notg is expressed as the pressure difference, Δ p, of the g-th non-weld-detecting sub-areaIs not 0g is the standard internal and external pressure difference of the g-th non-welding seam detection subarea, h is the number of the non-welding seam detection subareas, the oil tank is more prone to explosion when the internal and external pressure cumulant is larger, and the pressure detection processing module sends the counted internal and external pressure cumulant of the welding seam area and the internal and external pressure cumulant of the non-welding seam area to the explosion coefficient analysis module.
The temperature acquisition and processing module comprises a plurality of temperature sensors which are respectively arranged on the outer side of the oil tank and the inner sides of each welding seam detection subarea and each non-welding seam detection subarea of the oil tank and used for detecting the outer temperature of the oil tank and the inner temperature of each welding seam detection subarea and each non-welding seam detection subarea of the oil tank, and the obtained inner temperature of each welding seam detection subarea forms a temperature set T in each welding seam areaWelding of(tWelding of1,tWelding of2,...,tWelding ofk,...,tWelding ofl) the obtained inner temperature of each non-welding seam detection subarea forms an inner temperature set of the non-welding seam areaClosing TIs not(tIs not1,tIs not2,...,tIs notg,...,tIs noth) And the temperature acquisition and processing module sends the external temperature of the oil tank, the temperature set in the welding seam region and the temperature set in the non-welding seam region to the explosion coefficient analysis module.
The vibration detection processing module comprises a plurality of vibration speed sensors which are respectively arranged outside each welding seam detection subarea and each non-welding seam detection subarea of the oil tank and are used for detecting the vibration speed of each welding seam detection subarea and each non-welding seam detection subarea of the oil tank when a vehicle runs, and the obtained vibration speed of each welding seam detection subarea forms a welding seam area vibration speed set VWelding of(vWelding of1,vWelding of2,...,vWelding ofk,...,vWelding ofl) the obtained vibration speeds of the non-welding seam detection subareas form a non-welding seam area vibration speed set VIs not(vIs not1,vIs not2,...,vIs notg,...,vIs noth) And the vibration detection processing module sends the welding seam region vibration speed set and the non-welding seam region vibration speed set to the explosion coefficient analysis module.
The explosion coefficient analysis module receives the cumulative difference of pressure inside and outside a welding seam region and the cumulative difference of pressure inside and outside a non-welding seam region sent by the pressure detection processing module, receives the external temperature of the oil tank, the internal temperature set of the welding seam region and the internal temperature set of the non-welding seam region sent by the temperature acquisition processing module, receives the vibration speed set of the welding seam region and the vibration speed set of the non-welding seam region sent by the vibration detection processing module, extracts and stores temperature influence coefficients corresponding to the external temperature ranges of the oil tank in a database, screens temperature safety influence coefficients corresponding to the external temperature of the oil tank, collects the received internal and external pressure cumulative differences of the welding seam region, the internal temperature set of the welding seam region and the vibration speed set of the welding seam region, and counts
DWelding ofExpressed as the cumulative difference of pressure inside and outside the weld zone, λTExpressed as the temperature coefficient of influence, t, corresponding to the detected external temperature of the tankWelding ofk is expressed as the internal temperature of the kth weld detection subregion, vWelding ofk is expressed as the kth weld inspectionMeasuring the vibration speed of the subareas, expressing l as the number of the subareas of the weld joint detection, collecting the received pressure cumulant inside and outside the non-weld joint area, the temperature in the non-weld joint area and the vibration speed of the non-weld joint area, and counting the explosion coefficient of the non-weld joint area
DIs notExpressed as the cumulative difference of pressure inside and outside the non-welded region, lambdaTExpressed as the temperature influence coefficient corresponding to the detected external temperature of the oil tank, the higher the external temperature of the oil tank is, the greater the influence of the external temperature on the explosion of the oil tank is, and tIs notg is expressed as the internal temperature of the g-th non-weld detection sub-region, vIs notg is the vibration speed of the g-th non-welding seam detection subarea, h is the number of the non-welding seam detection subareas, the higher the explosion coefficient is, the higher the possibility that the oil tank explodes is indicated to be, and the explosion coefficient analysis module sends the explosion coefficient of the welding seam area and the explosion coefficient of the non-welding seam area to the central server and the monitoring display terminal.
The central server receives the leakage levels of the oil inlet and the oil outlet sent by the leakage level analysis module and sends early warning control instructions of corresponding levels to the early warning module.
Meanwhile, the central server receives the welding seam area explosion coefficient and the non-welding seam area explosion coefficient sent by the explosion coefficient analysis module, and compares the welding seam area explosion coefficient and the non-welding seam area explosion coefficient with a preset welding seam area safe explosion coefficient threshold value and a preset non-welding seam area safe explosion coefficient threshold value respectively, if the welding seam area explosion coefficient or the non-welding seam area explosion coefficient is larger than 5% of the safe explosion coefficient threshold value corresponding to the area, the central server sends a level I early warning control instruction to the early warning module, if the welding seam area explosion coefficient or the non-welding seam area explosion coefficient is larger than 10% of the safe explosion coefficient threshold value corresponding to the area, the central server sends a level II early warning control instruction to the early warning module, and if the welding seam area explosion coefficient or the non-welding seam area explosion coefficient is larger than 15% of the safe explosion coefficient threshold value.
The early warning module receives an early warning control instruction sent by the central server and carries out early warning of different levels, the I-level early warning mode is voice broadcast, the II-level early warning mode is buzzer early warning, and the III-level early warning mode is acousto-optic early warning.
And the monitoring display terminal is arranged in the cab and used for receiving the average oil gas leakage concentration of the oil inlet and outlet holes sent by the leakage grade analysis module and the welding seam area explosion coefficient and non-welding seam area explosion coefficient sent by the explosion coefficient analysis module, displaying the welding seam area explosion coefficient and the non-welding seam area explosion coefficient, facilitating the driver to visually know the leakage and explosion related parameters of the oil tank and taking necessary measures pertinently.
According to the invention, the oil-gas leakage concentration of the oil inlet and the oil outlet of the oil tank is monitored in real time through the oil hole leakage detection module, the internal and external temperature, the internal and external pressure and the vibration speed of the oil tank are detected by combining the temperature acquisition processing module, the pressure detection processing module and the vibration detection processing module, the explosion coefficient of the oil tank truck is analyzed by integrating the factors, different levels of alarm are carried out by comparing the explosion coefficient of the pipeline with the safety explosion coefficient threshold value, the effective monitoring on the safe transportation of the oil tank truck is realized, the monitoring level is improved, the explosion phenomenon of the oil tank can be predicted in advance, the safety accident caused by the explosion of the oil tank is reduced to the maximum extent, and the safety in the transportation process of the oil tank is effectively ensured.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (6)
1. The utility model provides a danger article transportation safety real-time supervision early warning management system based on big data which characterized in that: the system comprises an oil hole leakage detection module, a temperature acquisition processing module, a pressure detection processing module, a vibration detection processing module, a leakage grade analysis module, an explosion coefficient analysis module, a storage database, a central server, an early warning module and a monitoring display terminal;
the oil hole leakage detection system comprises a leakage grade analysis module, an explosion coefficient analysis module, a temperature acquisition processing module, a pressure detection processing module and a vibration detection processing module, wherein the leakage grade analysis module is connected with the oil hole leakage detection module;
the oil hole leakage detection module comprises an oil gas detector for detecting the oil gas leakage concentration of the oil inlet hole and the oil outlet hole of the oil tank truck, and the detection method specifically comprises the following steps:
s1: taking an oil inlet and an oil outlet of an oil tank as circle centers respectively, taking different distances from the oil inlet and the oil outlet of the oil tank as radiuses to make concentric circles, respectively emitting rays outwards from the oil inlet and the oil outlet of the oil tank, intersecting the rays with the concentric circles with the oil inlet and the oil outlet as the circle centers and different radiuses, taking the intersection point as a detection point of the oil inlet and the oil outlet, numbering the detection points of the oil inlet according to the sequence of the different distances from the oil inlet, respectively marking as 1,2, 1, i, n, numbering the detection points of the oil inlet according to the sequence of the different distances from the oil outlet, respectively marking as 1 ', 2', …, i ', 1, n';
s2: respectively installing oil gas detectors at each detection point of the oil inlet and the oil outlet of the oil tank, detecting the oil gas leakage concentration of each detection point of the oil inlet and the oil outlet of the oil tank, and forming an oil gas leakage concentration set C of the detection points of the oil inlet and the oil outlet by the obtained oil gas leakage concentration values of each detection point of the oil inlet and the oil outletInto(cInto1,cInto2,...,cIntoi,...,cInton)、CGo out′(cGo out1′,cGo out2′,...,cGo outi′,...,cGo outn′)，cIntoi represents the oil and gas leakage concentration of the ith detection point of the oil inlet hole, cGo outi' represents the oil gas leakage concentration of the ith detection point of the oil outlet;
s3: counting the oil gas leakage concentration mean values of the oil inlet and the oil outlet holes for the oil gas leakage concentration set of the detection points of the oil inlet and the oil outlet holes, and sending the counted average oil gas leakage concentration of the oil inlet and the oil outlet holes to a leakage grade analysis module;
the storage database stores oil gas leakage concentration corresponding to each oil gas leakage grade, temperature influence coefficients corresponding to each external temperature range of the oil tank, and a safe explosion coefficient threshold value of a welding seam region and a safe explosion coefficient threshold value of a non-welding seam region;
the leakage grade analysis module is used for receiving the average oil gas leakage concentration of the oil inlet and the oil outlet sent by the oil hole leakage detection module, extracting the oil gas leakage concentration corresponding to each oil gas leakage grade stored in the storage database, screening the oil gas leakage grade corresponding to the average oil gas leakage concentration of the oil inlet and the oil outlet, sending the average oil gas leakage concentration of the oil inlet and the oil outlet to the monitoring display terminal by the leakage grade analysis module, and sending the leakage grade of the oil inlet and the oil outlet of the oil tank to the central server;
the pressure detection processing module comprises a plurality of pressure sensors for detecting the internal pressure and the external pressure of the oil tank, the whole oil tank is divided into a plurality of detection subareas according to a preset dividing mode, the pressure sensors are respectively arranged at the inner side and the outer side of each detection subarea, the device is used for detecting the internal pressure and the external pressure of each detection sub-region, comparing the internal pressure and the external pressure of each detection sub-region to obtain an internal and external pressure difference, which is recorded as delta P, wherein the internal and external pressure differences of each detection sub-region form a detection sub-region pressure difference set delta P (delta P1, delta P2, delta pj, delta P m), the delta P is expressed as the internal and external pressure difference of the jth detection sub-region, m is expressed as the total number of the detection sub-regions, and dividing the pressure difference set of the detection subareas into a pressure difference set delta P of the welding seam area according to whether the welding seam exists in each detection subarea.Welding of(ΔpWelding of1,ΔpWelding of2,...,ΔpWelding ofk,...,ΔpWelding ofl) and set of pressure differences Δ P in the non-welded areaIs not(ΔpIs not1,ΔpIs not2,...,ΔpIs notg,...,ΔpIs noth),ΔpWelding ofk is expressed as the pressure difference, Δ p, of the kth weld detection sub-regionIs notg is the pressure difference of the g-th non-welding seam detection subarea, l is the number of welding seam detection subareas, h is the number of non-welding seam detection subareas, and l + h is m, and the pressure difference of each welding seam detection subarea in the welding seam area pressure difference set and the corresponding pressure difference areComparing the standard internal and external pressure difference of the welding seam detection sub-region to obtain a comparison value, counting the internal and external pressure cumulant of the welding seam region, and counting the internal and external pressure cumulant of the non-welding seam region, wherein the pressure detection processing module sends the counted internal and external pressure cumulant of the welding seam region and the internal and external pressure cumulant of the non-welding seam region to the explosion coefficient analysis module;
the temperature acquisition and processing module comprises a plurality of temperature sensors which are respectively arranged on the outer side of the oil tank and the inner sides of each welding seam detection subarea and each non-welding seam detection subarea of the oil tank and used for detecting the outer temperature of the oil tank and the inner temperature of each welding seam detection subarea and each non-welding seam detection subarea of the oil tank, and the obtained inner temperatures of the welding seam detection subareas form a temperature set T in the welding seam areaWelding of(tWelding of1,tWelding of2,…,tWelding ofk,…,tWelding ofl), the obtained inner temperature of each non-welding seam detection sub-region forms a non-welding seam region inner temperature set TIs not(tIs not1,tIs not2,…,tIs notg,…,tIs noth) The temperature acquisition and processing module sends the external temperature of the oil tank, the temperature set in the welding seam region and the temperature set in the non-welding seam region to the explosion coefficient analysis module;
the vibration detection processing module comprises a plurality of vibration speed sensors which are respectively arranged outside each welding seam detection subarea and each non-welding seam detection subarea of the oil tank and used for detecting the vibration speed of each welding seam detection subarea and each non-welding seam detection subarea of the oil tank when a vehicle runs, and the obtained vibration speed of each welding seam detection subarea forms a welding seam area vibration speed set VWelding of(vWelding of1,vWelding of2,…,vWelding ofk,...,vWelding ofl) the obtained vibration speeds of the non-welding seam detection subareas form a non-welding seam area vibration speed set VIs not(vIs not1,vIs not2,...,vIs notg,...,vIs noth) The vibration detection processing module sends the welding seam region vibration speed set and the non-welding seam region vibration speed set to the explosion coefficient analysis module;
the explosion coefficient analysis module receives the cumulative difference of pressure inside and outside a welding seam region and the cumulative difference of pressure inside and outside a non-welding seam region sent by the pressure detection processing module, receives the external temperature of the oil tank, the internal temperature set of the welding seam region and the internal temperature set of the non-welding seam region sent by the temperature acquisition processing module, receives the vibration speed set of the welding seam region and the vibration speed set of the non-welding seam region sent by the vibration detection processing module, extracts the temperature influence coefficients corresponding to the external temperature ranges of the oil tank in the storage database, screens the temperature safety influence coefficients corresponding to the external temperature of the oil tank, collects the received cumulative difference of pressure inside and outside the welding seam region, the internal temperature set of the welding seam region and the vibration speed set of the welding seam region, counts the explosion coefficients of the welding seam region, counts the received cumulative difference of pressure inside and outside the non-welding seam region, the internal temperature set of the non-welding seam region and, the explosion coefficient analysis module sends the explosion coefficient of the welding seam area and the explosion coefficient of the non-welding seam area to the central server and the monitoring display terminal;
the central server receives the leakage levels of the oil inlet and the oil outlet sent by the leakage level analysis module and sends early warning control instructions of corresponding levels to the early warning module;
meanwhile, the central server receives the welding seam region explosion coefficient and the non-welding seam region explosion coefficient sent by the explosion coefficient analysis module, and respectively compares the welding seam region explosion coefficient and the non-welding seam region explosion coefficient with a preset welding seam region safe explosion coefficient threshold value and a preset non-welding seam region safe explosion coefficient threshold value, if the welding seam region explosion coefficient or the non-welding seam region explosion coefficient is larger than 5% of the safe explosion coefficient threshold value corresponding to the region, the central server sends a level I early warning control instruction to the early warning module, if the welding seam region explosion coefficient or the non-welding seam region explosion coefficient is larger than 10% of the safe explosion coefficient threshold value corresponding to the region, the central server sends a level II early warning control instruction to the early warning module, and if the welding seam region explosion coefficient or the non-welding seam region explosion coefficient is larger than 15% of the safe explosion coefficient threshold value;
the early warning module receives an early warning control instruction sent by the central server and carries out early warning of different levels;
and the monitoring display terminal is used for receiving and displaying the average oil gas leakage concentration of the oil inlet and the oil outlet sent by the leakage grade analysis module and the welding seam region explosion coefficient and the non-welding seam region explosion coefficient sent by the explosion coefficient analysis module.
2. The real-time monitoring and early warning management system for the transportation safety of dangerous chemicals based on big data according to claim 1, characterized in that: the calculation formula of the average oil gas leakage concentration of the oil inlet hole is
cIntoi represents the oil gas leakage concentration of the ith detection point of the oil inlet; the calculation formula of the average oil gas leakage concentration of the oil outlet hole is
cGo outAnd i' represents the oil and gas leakage concentration of the ith detection point of the oil outlet hole.
3. The real-time monitoring and early warning management system for the transportation safety of dangerous chemicals based on big data according to claim 1, characterized in that: the preset dividing mode is that the length and the diameter of the oil tank are evenly divided equally, and the oil tank is divided into a plurality of detection subareas which are identical in volume and are mutually connected.
4. The real-time monitoring and early warning management system for the transportation safety of dangerous chemicals based on big data according to claim 1, characterized in that: the calculation formula of the cumulative difference of the internal pressure and the external pressure of the welding seam area is
ΔpWelding ofk is expressed as the pressure difference, Δ p, of the kth weld detection sub-regionWelding 0k is the standard internal and external pressure difference of the kth welding seam detection subarea, and l is the number of the welding seam detection subareas;
the calculation formula of the cumulative difference of the internal pressure and the external pressure in the non-welding seam area is
ΔpIs notg is expressed as the pressure difference, Δ p, of the g-th non-weld-detecting sub-areaIs not 0g is the standard internal and external pressure difference of the g-th non-welding seam detection subarea, and h is the number of the non-welding seam detection subareas.
5. The real-time monitoring and early warning management system for the transportation safety of dangerous chemicals based on big data according to claim 1, characterized in that: calculation formula of explosion coefficient of welding seam area
DWelding ofExpressed as the cumulative difference of pressure inside and outside the weld zone, λTExpressed as the temperature coefficient of influence, t, corresponding to the detected external temperature of the tankWelding ofk is expressed as the internal temperature of the kth weld detection subregion, vWelding ofk represents the vibration speed of the kth welding seam detection subarea, and l represents the number of the welding seam detection subareas;
formula for calculating explosion coefficient of non-welded seam area
DIs notExpressed as the cumulative difference of pressure inside and outside the non-welded region, lambdaTExpressed as the temperature coefficient of influence, t, corresponding to the detected external temperature of the tankIs notg is expressed as the internal temperature of the g-th non-weld detection sub-region, vIs notg represents the vibration speed of the g-th non-solder-joint detection sub-area, and h represents the number of non-solder-joint detection sub-areas.
6. The real-time monitoring and early warning management system for the transportation safety of dangerous chemicals based on big data according to claim 1, characterized in that: the I-level early warning mode is voice broadcast, the II-level early warning mode is buzzer early warning, and the III-level early warning mode is acousto-optic early warning.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010627203.9A CN111720747A (en) | 2020-07-02 | 2020-07-02 | Dangerous chemical transportation safety real-time monitoring and early warning management system based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010627203.9A CN111720747A (en) | 2020-07-02 | 2020-07-02 | Dangerous chemical transportation safety real-time monitoring and early warning management system based on big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111720747A true CN111720747A (en) | 2020-09-29 |
Family
ID=72571209
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010627203.9A Withdrawn CN111720747A (en) | 2020-07-02 | 2020-07-02 | Dangerous chemical transportation safety real-time monitoring and early warning management system based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111720747A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112162537A (en) * | 2020-10-09 | 2021-01-01 | 苏宇航 | Chemical production safety online monitoring and early warning management system based on big data |
| CN115099723A (en) * | 2022-08-24 | 2022-09-23 | 巨野恒丰果蔬有限公司 | Storage tank risk prediction system for garlic essential oil production based on data analysis |
| CN116384863A (en) * | 2023-06-05 | 2023-07-04 | 北京市弘洁蓝天科技股份有限公司 | Dangerous goods and waste vehicle transportation intelligent management system |
-
2020
- 2020-07-02 CN CN202010627203.9A patent/CN111720747A/en not_active Withdrawn
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112162537A (en) * | 2020-10-09 | 2021-01-01 | 苏宇航 | Chemical production safety online monitoring and early warning management system based on big data |
| CN115099723A (en) * | 2022-08-24 | 2022-09-23 | 巨野恒丰果蔬有限公司 | Storage tank risk prediction system for garlic essential oil production based on data analysis |
| CN116384863A (en) * | 2023-06-05 | 2023-07-04 | 北京市弘洁蓝天科技股份有限公司 | Dangerous goods and waste vehicle transportation intelligent management system |
| CN116384863B (en) * | 2023-06-05 | 2023-08-04 | 北京市弘洁蓝天科技股份有限公司 | Dangerous goods and waste vehicle transportation intelligent management system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111720747A (en) | Dangerous chemical transportation safety real-time monitoring and early warning management system based on big data | |
| CN104657810B (en) | A kind of Petrochemical Wharf tank area fire explosion methods of risk assessment | |
| CN102147950B (en) | Antitheft and anti-leakage monitoring method and system for fuel tank trunk | |
| CN104463425A (en) | Petrochemical engineering wharf handling process safety early-warning system based on LabVIEW | |
| CN107065794A (en) | A kind of intelligent safety supervision management system and implementation method based on GIS geographical information platforms | |
| CN112949900B (en) | Reservoir dam safety information intelligent perception fusion early warning method and terminal equipment | |
| CN109955849A (en) | Method and device applied to open coal mine collision prevention of vehicle early warning | |
| CN114022048A (en) | Method for constructing risk early warning platform of chemical industry park | |
| CN109231141A (en) | A kind of gas station's acoustooptic alarm system | |
| DE112014001913T5 (en) | Device for catching a fluid overflow, locating and real-time notification with an acoustic sensor | |
| CN112905666A (en) | Emergency prediction management system based on abnormal data analysis in public safety field | |
| CN115019480B (en) | System and method for monitoring sound and gas exposure | |
| CN209962392U (en) | Dangerous gaseous early warning system that leaks of chemical industry | |
| CN105805561B (en) | A kind of system and method for investigating of buried pipeline leakage accident | |
| CN207113925U (en) | A kind of industrial park underground pipe gallery integrated monitor and early warning disposal system | |
| CN106096104A (en) | The multifactorial oil refining apparatus gas detecting and alarming instrument addressing method for arranging of a kind of consideration | |
| CN205302636U (en) | Dangerous early warning system of express delivery car | |
| CN104200599A (en) | Bus multi-sensor fire detection method | |
| CN206038048U (en) | Intelligent monitoring system of on -vehicle liquid hazardous articles in -transit transportation | |
| CN2734680Y (en) | Oil storage tank of double-layer glass reinforced plastic can | |
| Xi et al. | Carbon dioxide pipelines: A statistical analysis of historical accidents | |
| CN209070347U (en) | Harmful influence Container Yard visualizes safety monitoring system | |
| CN111461456B (en) | Method for early warning outburst danger based on gas monitoring data instantaneous change characteristics | |
| CN1075889C (en) | On-line detector for safety condition of urea synthetic tower | |
| CN117928656B (en) | Informationized control platform based on natural gas safety production |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20200929 |
|
| WW01 | Invention patent application withdrawn after publication |