Intelligent monitoring method for leakage of marine floating hose

Abstract

The invention relates to an intelligent monitoring method for leakage of an offshore floating hose, which is characterized in that a leak detector is arranged in an oil storage space layer of each offshore floating hose, the leak detectors are connected with a control system, the control system is connected with a central control room, and a leak detection analysis module is mounted in an upper computer of the central control room; the leak detection analysis module processes a leak signal transmitted by the leak detector, and displays the leak signal through the terminal and gives an on-line alarm. The system is high in automation and intelligence degree, monitoring does not need to depend on naked eyes / experience of workers, leakage can be found in time at the initial stage, monitoring has real-time performance and timeliness, prevention can be achieved in advance, the operation cost of enterprises is effectively reduced, and safety production threats to surrounding sea areas are reduced.

Description

Technical Field

[0001] This patent application belongs to the field of leakage monitoring technology, and more specifically, relates to an intelligent monitoring method for leakage of an offshore floating hose. Background Art

[0002] Offshore floating hoses are commonly used in the oil and gas industry as a way to load or offload liquids such as crude oil, liquefied natural gas, etc.

[0003] The offshore floating pipe consists of a main pipe body, a secondary pipe body and a floating body from the inside to the outside. An oil storage space layer is formed between the main pipe body and the secondary pipe body. When the main pipe body leaks, the liquid can flow into the oil storage space layer.

[0004] For offshore floating hoses, in order to detect whether there is crude oil leakage inside the hose, a visual window is generally installed at the upper end of the hose to allow operators to directly observe the situation inside the hose. Appropriate light bulbs and other light sources are also provided near the visual window, so that the staff can easily determine the leakage situation inside the hose. However, this method can only be viewed near the visual window and is highly dependent on experience. It is not convenient to view at a distance.

[0005] Some floating tubes are equipped with floats, which are similar to the structure of pressure valves. When the tube leaks, the pressurized liquid leaks out from the oil storage space layer, and the float floats up under the pressure, which is convenient for staff to monitor and thus achieve the effect of reminder. However, this method requires a certain amount of liquid leakage to achieve the buoyancy required by the float. When the liquid just leaks or the leakage is small, it cannot be discovered in time.

[0006] Therefore, the above methods are not intelligent enough, highly dependent on the naked eye monitoring of staff, and cannot be monitored online. Often, the pipe body can only be monitored manually after a certain amount of leakage. The monitoring is delayed and not timely enough, and it is impossible to prevent in advance. It does not conform to the development trend of intelligent and automated monitoring of floating hoses at sea. At the same time, once the cryogenic hose leaks, it will threaten the safety of the surrounding sea areas. The leakage of liquid will also cause economic losses, increase the operating costs of enterprises, and increase the burden on enterprises. Summary of the invention

[0007] The technical problem to be solved by the present invention is to provide an intelligent monitoring method for leakage of an offshore floating hose, which can detect liquid leakage as early as possible, is independent of the occasion and experience, and has a high degree of intelligence and automation.

[0008] In order to solve the above problems, the technical solution adopted by the present invention is: The invention discloses an intelligent monitoring method for leakage of an offshore floating hose. A leak detector is arranged in the oil storage space layer of each offshore floating hose. The leak detector is connected to a control system. The control system is connected to a central control room. A leak detection analysis module is installed in a host computer in the central control room. The leak detection analysis module processes leakage signals transmitted by the leak detector, and displays the leakage signals through a terminal and issues an online alarm.

[0009] Furthermore, the leak detector is one or more of a pressure sensor, a flow sensor, a gas smoke sensor, an ultrasonic sensor, a vibration / displacement sensor, a photoelectric sensor, and an oil level sensor. Furthermore, the terminal is a mobile phone APP.

[0010] Furthermore, the leak detection and analysis module includes a data preprocessing unit, a condition judgment unit, a feedback processing unit, and a signal sending unit which are connected in sequence, and the signal sending unit is connected to the terminal.

[0011] Furthermore, the data preprocessing unit includes a data standardization subunit, a data combination subunit and a data cleaning subunit which are connected in sequence. The data standardization subunit receives the leakage signal transmitted from the leak detector, and finally obtains the normalized data through the data cleaning subunit.

[0012] Furthermore, the conditional judgment unit is provided with a plurality of conditional thresholds, and the conditional judgment unit performs adaptive judgment on the conditional threshold and the obtained normalized data. If the normalized data is ≥ the conditional threshold, it proves that leakage has occurred, and the feedback processing unit performs leakage marking; if the normalized data is < the conditional threshold, it proves that no leakage has occurred, and the feedback processing unit does not perform leakage marking.

[0013] Furthermore, the leakage mark includes the hose number, hose geographical location, judgment type, judgment time, and deviation ratio. The hose number corresponds to each floating hose at sea; the hose geographical location is the location coordinates of the leakage point; the judgment type is the content of the judgment, which matches the condition threshold; the judgment time is the time when the judgment occurs; the deviation ratio is the ratio of the normalized data to the condition threshold, if Deviation ratio ≥1.05, a mild warning; 1.3≥deviation ratio>1.05, moderate warning; The deviation ratio is greater than 1.3, which is a severe warning.

[0014] Furthermore, the conditional threshold value includes one or more of a pressure value, a flow value, a gas smoke value, an ultrasonic value, a vibration / displacement value, a photoelectric value, and an oil level value.

[0015] Furthermore, the feedback processing unit transmits the leakage mark to the terminal through the signal sending unit, and the terminal displays and locates the specific offshore floating hose and issues an alarm.

[0016] Due to the adoption of the above technical solution, the beneficial effects achieved by the present invention are: This method is highly automated and intelligent, does not need to rely on the naked eye / experience of staff monitoring, and can detect leaks in the early stages. The monitoring is real-time and timely, and can achieve early prevention, effectively reduce enterprise operating costs, and reduce threats to production safety in surrounding waters, which is in line with the concept of green environmental protection.

[0017] At the same time, it can also be combined with floats and visual windows. As traditional, non-intelligent monitoring methods, floats and visual windows can work together with intelligent monitoring to play a role of multiple protections. Once problems occur in the intelligent monitoring system composed of the leak detector, control system, central control room, host computer, leak detection analysis module and terminal, float and visual window monitoring can be used in time to play a double insurance role and improve the monitoring quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 It is a schematic diagram of the overall network connection of the present invention.

[0020] Figure 2 This is a composition diagram of the leak detection and analysis module in the present invention.

[0021] Figure 3 It is a composition diagram of the data preprocessing unit in the present invention. DETAILED DESCRIPTION

[0022] In order to make the technical problems, technical solutions and beneficial effects to be solved by this embodiment more clearly understood, this embodiment is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this embodiment and are not used to limit this embodiment.

[0023] The present invention is further described in detail below with reference to the embodiments.

[0024] An intelligent monitoring method for leakage of floating hose at sea, such as Figure 1 As shown, the method is as follows: a leak detector is arranged in the oil storage space layer of each offshore floating hose, the leak detector is connected to the control system, the control system is connected to the central control room, a leak detection analysis module is installed in the host computer of the central control room, the leak detection analysis module processes the leakage signal transmitted by the leak detector, and displays the leakage signal through the terminal and gives an online alarm.

[0025] In order to improve the detection accuracy and precision measurement range, the leak detector can be one or more of a pressure sensor, a flow sensor, a gas smoke sensor, an ultrasonic sensor, a vibration / displacement sensor, a photoelectric sensor, and an oil level sensor. The terminal is a mobile phone APP, which can accurately locate which floating hose at sea has leaked, and can send an alarm to achieve intelligent online monitoring. The mobile phone APP can automatically send an alarm SMS to notify the operator in time.

[0026] At the same time, the present invention does not abandon the traditional float and visual window. A float is also connected to the oil storage space layer, and a visual window is set. As a traditional, non-intelligent, existing monitoring means, the float and the visual window play a role of multiple protection, and the conventional technology does not need to be repeated. Once the intelligent monitoring system composed of the leak detector, control system, central control room, host computer, leak detection analysis module, and terminal has a problem, the float and visual window monitoring can be used in time, which plays a double insurance role and improves the monitoring quality.

[0027] like Figure 2 The leakage detection and analysis module includes a data preprocessing unit, a condition judgment unit, a feedback processing unit, and a signal sending unit which are connected in sequence, and the signal sending unit is connected to the terminal.

[0028] like Figure 3 The data preprocessing unit includes a data standardization subunit, a data union subunit and a data cleaning subunit connected in sequence. The data standardization subunit receives the leakage signal transmitted by the leak detector, and finally obtains the normalized data through the data cleaning subunit. The data standardization subunit processes the received leakage signal in the first step. If there is a value with a large deviation, it performs averaging, variance or fills it to zero. The data union subunit merges unnecessary data, and the data cleaning subunit further removes noise data and redundant data, retaining the real data required. After being processed by these three subunits, the normalized data is formed and can be transmitted to the next link for conditional judgment.

[0029] The condition judgment unit is provided with a plurality of condition thresholds, and the condition judgment unit performs adaptive judgment on the condition threshold and the obtained normalized data. If the normalized data is ≥ the condition threshold, it proves that leakage has occurred, and the feedback processing unit performs leakage marking. If the normalized data is < the condition threshold, it proves that no leakage has occurred, and the feedback processing unit does not perform leakage marking.

[0030] Regarding the leakage mark, the leakage mark includes the hose number, hose geographical location, judgment type, judgment time, and deviation ratio. The hose number corresponds to each floating hose at sea; the hose geographical location is the location coordinates of the leakage point; the judgment type is the content of the judgment, which matches the condition threshold; the judgment time is the time when the judgment occurs; the deviation ratio is the ratio of the normalized data to the condition threshold. If Deviation ratio ≥1.05, a mild warning; 1.3≥deviation ratio>1.05, moderate warning; The deviation ratio is greater than 1.3, which is a severe warning.

[0031] Matching the type of leak detector, the condition threshold includes one or more of pressure value, flow value, gas smoke value, ultrasonic value, vibration / displacement, photoelectric value, and oil level value, which can realize the monitoring of multiple signals. For example, there are 5 floating hoses at sea, named 001~005, and the geographical location is represented by three-dimensional coordinates. The judgment types include pressure value, flow value, gas smoke value, vibration / displacement, photoelectric value, etc., and the judgment time is accurate to year, month, day, hour, minute, and second.

[0032] Taking No. 001 as an example, the judgment type is pressure value, the normalized data is 1.012Mpa, and the condition threshold is 1Mpa, then the deviation ratio = normalized data / condition threshold = 1.012Mpa / 1Mpa = 1.012, which is a mild warning. Taking No. 003 as an example, the judgment type is gas smoke value, the normalized data is 1.07mg / m3 (milligrams / cubic meter), and the condition threshold is 1.02mg / m3, then the deviation ratio = normalized data / condition threshold = 1.074mg / m3 / 1.02mg / m3 = 1.053, which is a moderate warning. Other judgment types are not repeated here.

[0033] The specific contents of the leakage mark are shown in the table below. Combined with the deviation ratio and degree, the feedback processing unit transmits the leakage mark to the terminal through the signal sending unit. The terminal displays and locates the specific offshore floating hose, and can accurately locate which offshore floating hose is leaking. The geographical location, leakage amount, and leakage time can all be displayed and sent to relevant maintenance personnel via text messages. Not only does it realize intelligent online monitoring, but the host computer is also connected to the alarm, and the alarm can also sound an alarm. Therefore, the leakage of the offshore floating hose can be handled very intuitively, so as to prevent it in advance, effectively reduce the operating costs of the enterprise, and reduce the threat to production safety in the surrounding sea areas. At the same time, once there is a problem with the intelligent online monitoring, it can also be monitored through traditional floats and visual windows, with double protection to effectively ensure the smooth progress of the monitoring effect.

[0034] The above description is only a preferred embodiment of the present embodiment and is not intended to limit the present embodiment. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present embodiment shall be included in the protection scope of the present embodiment.

Claims

1. An intelligent method for monitoring leakage of an offshore floating hose, characterized in that: The method is as follows: a leak detector is arranged in the oil storage space layer of each offshore floating hose, the leak detector is connected to the control system, the control system is connected to the central control room, a leak detection analysis module is installed in the host computer of the central control room, the leak detection analysis module processes the leakage signal transmitted by the leak detector, and displays the leakage signal through the terminal and gives an online alarm.

2. The method for intelligent monitoring of leakage of an offshore floating hose according to claim 1, characterized in that: The leak detector is one or more of a pressure sensor, a flow sensor, a gas smoke sensor, an ultrasonic sensor, a vibration / displacement sensor, a photoelectric sensor, and an oil level sensor.

3. The intelligent monitoring method for leakage of an offshore floating hose according to claim 1, characterized in that: The terminal is a mobile phone APP.

4. The intelligent monitoring method for leakage of an offshore floating hose according to claim 1, characterized in that: The leak detection and analysis module comprises a data preprocessing unit, a condition judgment unit, a feedback processing unit, and a signal sending unit which are connected in sequence, and the signal sending unit is connected to a terminal.

5. The intelligent monitoring method for leakage of an offshore floating hose according to claim 4, characterized in that: The data preprocessing unit includes a data standardization subunit, a data combination subunit and a data cleaning subunit which are connected in sequence. The data standardization subunit receives the leakage signal transmitted from the leak detector, and finally obtains the normalized data through the data cleaning subunit.

6. The method for intelligent monitoring of leakage of an offshore floating hose according to claim 5, characterized in that: The condition judgment unit is provided with a plurality of condition thresholds, and the condition judgment unit performs adaptive judgment on the condition threshold and the obtained normalized data. If the normalized data is ≥ the condition threshold, it proves that leakage has occurred, and the feedback processing unit performs leakage marking. If the normalized data is < the condition threshold, it proves that no leakage has occurred, and the feedback processing unit does not perform leakage marking.

7. The intelligent monitoring method for leakage of an offshore floating hose according to claim 6, characterized in that: The leakage mark includes the hose number, hose geographical location, judgment type, judgment time, and deviation ratio. The hose number corresponds to each floating hose at sea; the hose geographical location is the location coordinates of the leakage point; the judgment type is the content of the judgment, which matches the condition threshold; the judgment time is the time when the judgment occurs; the deviation ratio is the ratio of the normalized data to the condition threshold. Deviation ratio ≥1.05, a mild warning; 1.3≥deviation ratio>1.05, moderate warning; The deviation ratio is greater than 1.3, which is a severe warning.

8. The intelligent monitoring method for leakage of an offshore floating hose according to claim 6, characterized in that: The condition threshold value includes one or more of a pressure value, a flow value, a gas smoke value, an ultrasonic value, a vibration / displacement value, a photoelectric value, and an oil level value.

9. The intelligent monitoring method for leakage of an offshore floating hose according to claim 6, characterized in that: The feedback processing unit transmits the leakage mark to the terminal through the signal sending unit, and the terminal displays and locates the specific offshore floating hose and issues an alarm.

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