CN118840226B

CN118840226B - Emergency management system of gas station

Info

Publication number: CN118840226B
Application number: CN202411300915.4A
Authority: CN
Inventors: 陈文义; 胡繁新
Original assignee: Hongyang Group Co ltd
Current assignee: Hongyang Group Co ltd
Priority date: 2024-03-12
Filing date: 2024-09-18
Publication date: 2024-12-24
Anticipated expiration: 2044-09-18
Also published as: CN118529690A; CN118840226A

Abstract

The present invention discloses an emergency management system for a gas station, which relates to the technical field of gas station management and solves the problem that it is impossible to monitor the pressure change of a gas station pipeline in real time, and when an emergency such as oil and gas leakage or pipeline overpressure occurs, it may be impossible to discover and respond in time. The present invention realizes comprehensive monitoring of the oil pipeline system of the gas station through the collaborative work of different modules, including the design of data collection, processing, time period distinction and alarm modules; the system can monitor the pipeline pressure in real time, and compare it with a preset standard, and accurately identify overpressure or leakage; through data analysis within a preset time period, the system can accurately distinguish between voltage change, frequency change and observation time periods, and formulate corresponding detection and response strategies for different situations; this accuracy and time period response mechanism enable the emergency management system to accurately judge potential risks in the early stage and issue early warnings in time, thereby improving the efficiency and effect of emergency response.

Description

Emergency management system of gas station

Technical Field

The invention relates to the technical field of management of gas stations, in particular to an emergency management system of a gas station.

Background

In the field of gas station management and security, conventional emergency management systems rely mainly on periodic manual checks and periodic maintenance to ensure proper operation and security of the gas station. These methods include physical inspection of key equipment such as tanks, pipes, pumping stations, etc., and monitoring of the environment of the station. The manual inspection method has the advantages of simplicity, straightness and no need of complex technical support. However, they are generally only available on a regular basis and do not allow continuous monitoring of the operating conditions of the gas station, especially in respect of monitoring pressure variations.

However, this conventional manual detection method has significant limitations. Because the pressure change cannot be monitored in real time, when an emergency such as oil gas leakage or pipeline overpressure occurs, the emergency can not be found and responded in time. Such delays may cause problems to have serious consequences, such as environmental pollution, increased risk of fire explosion, and even possible endangerment of personnel before they are detected. Furthermore, conventional emergency management systems are also difficult to perform effective risk assessment and establishment of preventive measures due to lack of real-time data and analysis. Therefore, there is an urgent need for an emergency management system for a gas station that can monitor and reflect pressure changes in real time, and identify potential safety risks in time, thereby improving the safety management level and emergency response capability of the gas station.

Disclosure of Invention

Aiming at the defects of the prior art, the invention provides an emergency management system of a gas station, which solves the problems of the background technology.

In order to achieve the above purpose, the invention is realized by the following technical scheme that the emergency management system of the gas station comprises:

The data acquisition module is used for detecting the pressure of the oil pipelines in the gas station at intervals of a standard period t, collecting the pipeline pressures in different oil pipelines, then acquiring the measured pipeline pressures and the preset standard pipeline pressures, calculating absolute values between the measured pipeline pressures and the preset standard pipeline pressures to obtain an evaluation difference value, and sending the evaluation difference value to the subsequent data analysis module, wherein the standard period t is a preset value;

The data processing module is used for comparing the received evaluation difference value with a preset critical value, marking the evaluation difference value as an overpressure value when the evaluation difference value is larger than the critical value and marking the evaluation difference value as a range value when the evaluation difference value is smaller than the critical value and marking the evaluation difference value as a range value and sending the range value;

the time period distinguishing module is used for dividing each day into a undetermined time period averagely, receiving the overpressure value and the range value sent by the data processing module, wherein the received overpressure value and the range value comprise the overpressure value and the range value sent by all the data processing module in T time, and further judging that each undetermined time period of the a undetermined time periods is distinguished into a variable-voltage time period, a frequency-variable time period or an observation time period, and a and T are preset time;

The detection module is used for making different detection strategies for the time periods distinguished by the time period distinguishing module, generating different alarm signals according to detection results and sending the generated alarm signals to the subsequent alarm module;

The alarm module is used for receiving three alarm signals sent by the detection module in real time, including an overpressure early warning signal, a differential flow early warning signal and an alarm signal, respectively making different response treatments, and outputting corresponding safety management measures;

And the display module is used for displaying the alarm module to output corresponding safety management measures.

Preferably, the specific mode of determining the to-be-determined period in the period distinguishing module is as follows:

S1, acquiring an overpressure value in a time T, and presetting time T, wherein the time T represents a time period of pushing forward for h days from the current time, and the data of the day of acquiring the data are not counted, wherein h is a preset value;

S2, dividing a day into a number of undetermined time periods equally, arbitrarily selecting one undetermined time period, obtaining the number Ci of the overpressure values of the undetermined time period in T time, calculating the total number x of the overpressure values in T time, dividing x by h, calculating to obtain the average value p of the number p of the overpressure values of the time period in T time, and then using a formula, wherein Ci is expressed as the number of the overpressure values of the time period on the i th day, 1 is less than or equal to i is less than or equal to h, and Sfad is the calculated deviation value;

S3, comparing the deviation value Sfad with a preset value g, sorting Ci from large to small when the deviation value Sfad exceeds the preset value g, deleting the first bit of the sorting every time, and calculating the rest Ci to obtain a deviation value Sfad until the deviation value Sfad does not exceed the preset value g;

S4, obtaining the number D1 of the deleted Ci, subtracting the D1 from h to obtain D2, and then dividing the D2 into a transformation period, a frequency transformation period or an observation period;

After step S4, the method further comprises:

And S5, repeating the processes from the step S1 to the step S4, and dividing the a undetermined time periods into a voltage transformation time period, a frequency transformation time period or an observation time period.

Preferably, the mode of dividing the time period into a voltage transformation time period, a frequency transformation time period or an observation time period is as follows:

if D1 is greater than or equal to D2, this period is marked as a variable-voltage period, if D1 is less than D2, or if the first calculated deviation value Sfad does not exceed the preset value g and is not 0, this period is marked as a frequency-varying period, if the first calculated deviation value Sfad is 0, this period is marked as an observation period.

Preferably, the detection module specifically formulates different detection strategies in the following ways:

And in the variable-voltage period, real-time detection is carried out every T1 time, in the variable-frequency period, real-time detection is carried out every T2 time, and in the observation period, real-time detection is carried out every T3 time, wherein T1, T2 and T3 are all preset values, and T1 is less than T2 is less than T3.

Preferably, the specific detection mode of the detection module is as follows:

P1, acquiring detected pipeline pressure, judging whether the pipeline pressure is an overpressure value or not in a mode that the pipeline pressure is obtained by calculating the pipeline pressure through the inside of a data acquisition module and a data processing module;

P2, according to the difference between inlet and outlet flow rates, the formula is as follows:

Will be Comparing with a preset K value, whereinThe mass flow rate expressed as a leak is,Is the volumetric flow rate into the conduit,Is the volumetric flow rate leaving the pipe, ρ is the density of the fluid, the preset K value is expressed as an allowable error, and a certain error range is allowed;

Preferably, after step P2, the method further comprises:

P3, judging the results of P1 and P2:

When the pipeline pressure is judged to be an overpressure value, and Generating an overpressure early warning signal when the K value is not exceeded;

When the pipeline pressure is judged to be a range value, and When the K value is not exceeded, no treatment is carried out;

When the pipeline pressure is judged to be a range value, and When the K value is exceeded, generating a differential flow early warning signal;

When the pipeline pressure is judged to be an overpressure value, and When the K value is exceeded, generating an alarm signal;

Preferably, the specific different response processing modes in the alarm module are as follows:

AS1, sending out overpressure early warning broadcast when receiving the overpressure early warning signal, and outputting corresponding safety management measures;

AS2, sending out a differential flow early warning broadcast when receiving a differential flow early warning signal, and outputting corresponding safety management measures;

And AS3, when receiving the alarm signal, sending out the alarm signal, indicating that the oil pipeline is leaked, and outputting corresponding safety management measures.

Preferably, when the corresponding safety management measures are output as alarm signals or early warning signals, the preset storage model outputs various effective measures required by the alarm signals or the early warning signals.

The invention provides an emergency management system of a gas station. Compared with the prior art, the method has the following beneficial effects:

(1) The system realizes comprehensive monitoring of the oil pipeline system of the gas station through cooperative work of different modules, comprises data acquisition, processing, time period distinguishing and alarm module design, can monitor pipeline pressure in real time and compare with preset standards to accurately identify overpressure or leakage conditions, can accurately distinguish transformation, frequency variation and observation time periods through data analysis in the preset time period, and can formulate corresponding detection and response strategies for different conditions, and the accuracy and time period response mechanism enables an emergency management system to accurately judge potential risks in an initial stage and timely send early warning, effectively avoids or reduces accidents, thereby improving efficiency and effect of emergency response.

(2) The emergency management system can reduce the dependence on manual monitoring by implementing highly-automatic and intelligent monitoring and analysis, thereby reducing the labor cost and potential human errors, can monitor and early warn in real time, can automatically provide corresponding safety management measures according to different types of early warning signals, such as pipeline inspection and maintenance when pressure is abnormal, emergency investigation when leakage is early warned and the like, and greatly improves the efficiency and effect of emergency management.

Drawings

The invention is further described below with reference to the accompanying drawings.

FIG. 1 is a system frame diagram of an emergency management system for a gas station in accordance with the present invention;

FIG. 2 is a time-division flow chart of an emergency management system of a gas station according to the present invention.

Detailed Description

The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

Example 1

Referring to fig. 1-2, the present invention provides an emergency management system for a gas station, comprising;

The data acquisition module is used for detecting the pressure of the oil pipelines in the gas station at intervals of a standard period t, collecting the pipeline pressures in different oil pipelines, then acquiring the measured pipeline pressures and the preset standard pipeline pressures, calculating absolute values between the measured pipeline pressures and the preset standard pipeline pressures to obtain an evaluation difference value, and sending the evaluation difference value to the subsequent data analysis module, wherein the standard period t is a preset value, and setting the standard pipeline pressures is set by related staff;

It should be noted that, the pressure measurement of the oil pipeline is usually implemented by using pressure sensors or pressure gauges, which can monitor and record the pressure level inside the pipeline, and the pressure sensors may be installed at key positions of the pipeline, such as the inlet and outlet of the pipeline, important branch points, and areas where leakage is known to occur easily, and take 1 minute in this embodiment;

the preset critical value is expressed as a standard value of the up-down change value of the pipeline pressure, and also represents a threshold value of the up-down change value of the pipeline pressure, and specific parameters are set by staff;

The specific mode for judging the to-be-determined time interval is as follows:

S1, acquiring an overpressure value in a time T, and presetting the time T, wherein the time T represents a time period of pushing forward for h days from the current time, and the data of the day of acquiring the data are not counted, T= {1, 2..the first time and h }, wherein h is a preset value, and is specifically set by a professional staff, and in the embodiment, h=14;

S4, obtaining the number D1 of the deleted Ci, subtracting the D1 from h to obtain D2, marking the period as a transformation period if the D1 is larger than or equal to the D2, marking the period as a frequency-variable period if the D1 is smaller than the D2, or when the first calculated deviation value Sfad is not more than the preset value g and is not 0, marking the period as an observation period if the first calculated deviation value Sfad is 0;

s5, repeating the processes from the step S1 to the step S4, and dividing the a undetermined time periods into a voltage transformation time period, a frequency transformation time period or an observation time period;

the specific method for making different detection strategies is as follows:

Real-time detection is carried out every T1 time during a variable-voltage period, every T2 time during a variable-frequency period, and every T3 time during an observation period;

Wherein T1, T2 and T3 are all preset values, and T1< T2< T3, the specific time parameter is set by the relevant staff;

Example two

In the implementation process of this embodiment, on the basis of the first embodiment, the difference from the first embodiment is that the detection mode is specifically described in this embodiment:

The specific detection mode is as follows:

Will be Comparing with a preset K value, whereinThe mass flow rate expressed as a leak is,Is the volumetric flow rate into the conduit,Is the volumetric flow rate leaving the pipe, ρ is the density of the fluid, here referred to as the density of the fuel, and the preset K value is expressed as an allowable error, within a certain range of errors;

P3, judging the results of P1 and P2:

It should be noted that the service station plumbing is considered a closed system in which any loss of mass can be considered a leak, and that the rate of change of mass in the system is equal to the mass flow rate into the system minus the mass flow rate out of the system, according to the law of conservation of mass, wherein AndThe value of the volume flow rate is measured by installing a meter in the inlet and the outlet of the pipeline;

Example III

In the implementation process of the embodiment, on the basis of the first embodiment and the second embodiment, the difference between the first embodiment and the second embodiment is that,

The specific different response processing modes are as follows:

AS1, sending out overpressure early warning broadcast when receiving the overpressure early warning signal, and outputting safety management measures:

measure 1. Observe whether the pressure quickly returns to within normal range, if so, no further action needs to be taken, but this event should be recorded for future analysis;

the reasons are that the pipe network operation changes (such as valve operation), pump start and stop and the like can cause instantaneous pressure fluctuation;

2, verifying the accuracy of the flow measurement device and the real-time performance of a data transmission system, and calibrating a flowmeter;

the reason is that the measurement error or data transmission delay of the flow monitoring device may cause that the flow data cannot reflect the actual situation in time;

Step 3, checking the pipeline, searching the blocking position by using the technologies such as an endoscope or pressure wave analysis, and cleaning or repairing;

the reason is that partial blockage occurs inside the pipeline, resulting in local pressure rise, but the flow may not be significantly affected, or the change in flow does not exceed the K value;

Checking the working states of the pump and the valve, and carrying out necessary maintenance or replacement;

The reasons are that the abnormal operation of the pump or the valve failure can cause the abnormal pressure of the system, and the flow rate is not changed or captured in time;

Checking and calibrating the pressure sensor, and replacing the damaged sensor if necessary;

The reasons are that the pressure sensor itself has a fault or the reading error is caused by inaccurate calibration;

AS2, when receiving the differential flow early warning signal, sending out differential flow early warning broadcast, and outputting safety management measures:

Measure 1, checking and calibrating the flowmeter, and maintaining or replacing if necessary;

the reason is that metering errors or malfunctions of the flow meter may lead to erroneous flow readings;

checking the running state of the pump and the valve configuration, and adjusting to proper working conditions;

The reason is that excessive pump operation or incorrect valve configuration may result in increased flow while the pressure remains within the normal range;

measure 3, confirm whether there is recent pipeline configuration or operation change, ensure all changes have been recorded and managed correctly;

The reason is that configuration changes (e.g., additional legs opened) or operational changes (e.g., increased oil supply) within the piping system may result in increased flow;

Measure 4. Carefully inspecting the leakage detection system and the automatic control system, ensuring that they work properly, and finding possible leakage sources;

The reason is that if the system detects a leak and tries to compensate for the pressure loss caused by the leak by increasing the amount of pumped oil, there may be a situation where the flow rate increases without a significant change in pressure;

Measure 5 using more sensitive detection techniques such as sonic detection or using special stains to identify small leaks;

The reason is that small-scale leaks may not be sufficient to cause a significant drop in pressure, but over time, the flow rate that the system increases to maintain pressure may exceed the threshold of flow rate;

checking a data transmission system and recording equipment to ensure that all data can be accurately updated in real time;

the reason is that the real-time update of the flow data may be delayed while the pressure data is unaffected, resulting in what appears to be an abnormal increase in flow;

AS3, when receiving the alarm signal, sending out the alarm signal, indicating that the oil pipeline is leaked, and outputting safety management measures:

Comprehensively inspecting the oil pipeline and each device to find out the leakage position;

and the display module is used for displaying the corresponding management measure information output by the alarm module so that staff can conveniently check and prevent the management measure information one by one.

Example IV

This embodiment includes all of the three embodiments described above in the specific implementation.

Some of the data in the above formulas are numerical calculated by removing their dimensionality, and the contents not described in detail in the present specification are all well known in the prior art.

The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An emergency management system for a gas station, comprising:

the data acquisition module is used for detecting the pressure of the oil pipelines in the gas station at intervals of a standard period t, collecting the pipeline pressures in different oil pipelines, then acquiring the measured pipeline pressures and the preset standard pipeline pressures, calculating absolute values between the measured pipeline pressures and the preset standard pipeline pressures to obtain an evaluation difference value, and transmitting the evaluation difference value to the subsequent data processing module, wherein the standard period t is a preset value;

the display module is used for displaying the alarm module to output corresponding safety management measures;

the specific judging waiting period distinguishing mode in the period distinguishing module is as follows:

S2, dividing a day into a number of undetermined time periods equally, arbitrarily selecting one undetermined time period, obtaining the number Ci of the overpressure values of the undetermined time period in T time, calculating the total number x of the overpressure values in T time, dividing x by h, calculating to obtain an average value p of the number p of the overpressure values of the undetermined time period in T time, and calculating to obtain a deviation value Sfad, wherein Ci is the number of the overpressure values of the undetermined time period on the ith day, and i is more than or equal to 1 and less than or equal to h;

After step S4, the method further comprises:

the mode of dividing the time period into a voltage transformation time period, a frequency transformation time period or an observation time period is as follows:

If D1 is greater than or equal to D2, marking the time period as a variable-voltage time period, if D1 is less than D2, or if the first calculated deviation value Sfad does not exceed the preset value g and is not 0, marking the time period as a frequency-variable time period, if the first calculated deviation value Sfad is 0;

the detection module specifically formulates different detection strategies in the following modes:

real-time detection is carried out every T1 time during a variable-voltage period, real-time detection is carried out every T2 time during a variable-frequency period, and real-time detection is carried out every T3 time during an observation period, wherein T1, T2 and T3 are all preset values, and T1 is less than T2 is less than T3;

the specific detection mode of the detection module is as follows:

Will be Comparing with a preset K value, whereinThe mass flow rate expressed as a leak is,Is the volumetric flow rate into the conduit,Is the volumetric flow rate out of the pipe, ρ is the density of the fluid, and the preset K value is expressed as an allowable error;

After step P2, it further comprises:

P3, judging the results of P1 and P2:

When the pipeline pressure is judged to be an overpressure value, and And when the K value is exceeded, generating an alarm signal.

2. An emergency management system for a gas station according to claim 1, wherein,

The specific different response processing modes in the alarm module are as follows:

3. An emergency management system for a gas station according to claim 2, wherein,

And outputting corresponding safety management measures which are various effective measures required by outputting the alarm signal or the early warning signal by a preset storage model when the alarm signal or the early warning signal appears.