WO2022174516A1 - 井场设备监控系统和井场设备监控方法 - Google Patents

井场设备监控系统和井场设备监控方法 Download PDF

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WO2022174516A1
WO2022174516A1 PCT/CN2021/090031 CN2021090031W WO2022174516A1 WO 2022174516 A1 WO2022174516 A1 WO 2022174516A1 CN 2021090031 W CN2021090031 W CN 2021090031W WO 2022174516 A1 WO2022174516 A1 WO 2022174516A1
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temperature
well site
monitoring area
site equipment
abnormal
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PCT/CN2021/090031
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English (en)
French (fr)
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李亮
李守哲
毛竹青
张君
刘凯深
张鹏远
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烟台杰瑞石油装备技术有限公司
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Priority to CA3161056A priority Critical patent/CA3161056A1/en
Publication of WO2022174516A1 publication Critical patent/WO2022174516A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K13/00—Thermometers specially adapted for specific purposes
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources

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  • the invention relates to the field of fault monitoring of oilfield well site equipment. Specifically, the present invention relates to a well site equipment monitoring system and a well site equipment monitoring method, which are used to monitor the abnormality of the well site equipment monitoring area.
  • the well site operating In the well site operation, in order to ensure the safe operation of the equipment used in the fracturing operation, the well site operating needs to arrange special personnel to inspect the well site equipment and pipelines, so as to detect equipment abnormalities, manifold jitter, and manifold in time. Anomalies or dangers such as punctures. In some well sites, the abnormality of the equipment can easily lead to more serious safety accidents, which also poses a greater risk to the safety of inspectors.
  • video surveillance technology has been gradually applied to monitor equipment abnormalities.
  • video surveillance is performed on fracturing equipment, wellheads, manifolds, or core components and lines such as engines, gearboxes, motors, transformers, frequency converters, and power cables.
  • the video signals generated during this process can be transmitted to the instrumentation equipment or monitoring room, for example, and the inspectors can conduct real-time inspections on the important equipment, important areas or core components of the well site through the instrumentation equipment or the monitoring room.
  • this kind of video surveillance system needs to largely rely on the inspectors and their experience to monitor and detect the abnormality or failure of the equipment. At the same time, because there may be many pictures to be monitored, the inspectors may miss some anomalies or make mistakes in judging the type of failure.
  • the purpose of the present invention is to provide a well site equipment monitoring system and method, which can efficiently and intelligently monitor the failure of well site equipment while reducing labor costs.
  • a well site equipment monitoring system for monitoring abnormalities in the well site equipment monitoring area, which includes:
  • the dynamic capture module includes a video acquisition unit and a dynamic analysis unit, wherein the video acquisition unit collects video signals in the monitoring area of the well site equipment, and the dynamic analysis unit analyzes and judges the well site based on the collected video signals Whether there is abnormal dynamic activity in the equipment monitoring area;
  • a temperature detection module comprising a temperature acquisition unit and a temperature analysis unit, wherein the temperature acquisition unit collects the temperature distribution in the monitoring area of the well site equipment, and the temperature analysis unit analyzes and obtains the well based on the collected temperature distribution temperature information in the field equipment monitoring area, and based on the temperature information to determine whether there is a temperature abnormality in the well site equipment monitoring area, wherein the temperature information includes a maximum temperature and/or a minimum temperature and/or an average temperature, and all the specific position in the monitoring area of the well site equipment corresponding to the maximum temperature and/or the minimum temperature; and
  • An information processing module wherein the information processing module judges the fault type in the monitoring area of the well site equipment while considering the abnormal dynamic activity obtained by the dynamic capture module and the abnormal temperature conclusion output by the temperature detection module. output the corresponding signal.
  • the dynamic analysis unit calculates the pixels of the currently acquired video signal, and the pixels of the currently acquired video signal are larger than a preset value.
  • the pixel threshold is determined, abnormal dynamic activity is judged.
  • the preset pixel threshold is determined with reference to video pixels in the monitoring area of the wellsite equipment under normal operation.
  • the dynamic capture module further includes a video signal storage library, in which video signals collected by the video capture unit are stored.
  • the dynamic analysis unit compares the currently collected video signal with the video signals collected at a previous time point or several previous time points, and analyzes the corresponding parts at the corresponding position.
  • the pixel change of the video signal when the pixel change at the corresponding part exceeds a preset deviation pixel threshold, it is determined that there is abnormal dynamic activity at the corresponding part.
  • the temperature detection module when the maximum temperature and/or minimum temperature and/or average temperature of the temperature analysis unit exceeds a preset corresponding temperature threshold When the temperature is abnormal, it is determined that there is an abnormal temperature in the monitoring area of the well site equipment and a specific part of the abnormal temperature.
  • the corresponding temperature threshold is determined with reference to the corresponding temperature of the wellsite equipment monitoring area and the ambient temperature of the wellsite equipment monitoring area under normal operation.
  • the temperature detection module further includes a temperature information storage library, in which temperature information analyzed and obtained by the temperature analysis unit is stored.
  • the temperature analysis unit compares the acquired current maximum temperature and/or minimum temperature and/or average temperature with the previous time point stored in the temperature information repository. Or the highest temperature and/or the lowest temperature and/or the average temperature in previous time points are compared, and when the corresponding temperature difference exceeds a preset deviation temperature threshold, it is determined that the temperature in the monitoring area of the well site equipment is abnormal.
  • the information processing module (30) further considers the relationship between the specific part of the abnormal dynamic activity and the specific part of the abnormal temperature to determine the fault type.
  • the well site equipment monitoring system further includes an alarm module, wherein the alarm module is configured when the information processing module determines the type of fault existing in the equipment monitoring area. Send out a warning.
  • the well site equipment monitoring system further includes a display unit, wherein the display unit displays the collected video signal and temperature distribution.
  • a well site equipment monitoring method is also proposed, which is used to monitor the abnormality of the well site equipment monitoring area, including the following steps:
  • the temperature information includes a maximum temperature and/or a minimum temperature and/or an average temperature, and the maximum temperature and/or minimum temperature The corresponding specific part in the monitoring area of the well site equipment;
  • the fault type of the well site equipment is judged by considering the abnormal dynamic activity and the conclusion of the temperature abnormality at the same time.
  • the pixels of the currently collected video signal are calculated, and the pixels of the currently collected video signal are larger than the preset pixels.
  • the presence of abnormal dynamic activity is determined in the case of the threshold.
  • the preset pixel threshold is determined with reference to video pixels in the monitoring area of the wellsite equipment under normal operation.
  • the currently collected video signal is compared with the video signal collected at the previous time point or several previous time points, and the analysis is performed.
  • the pixel change of the video signal at the corresponding part exceeds the preset deviation pixel threshold, it is determined that there is abnormal dynamic activity at the corresponding part.
  • the temperature abnormality when judging that the temperature is abnormal, when the maximum temperature and/or the minimum temperature and/or the average temperature exceeds a preset corresponding temperature threshold, it is judged that the temperature is abnormal. There is temperature abnormality in the monitoring area of the equipment and the specific part where the temperature abnormality exists.
  • the corresponding temperature threshold is determined with reference to the corresponding temperature of the wellsite equipment monitoring area and the ambient temperature of the wellsite equipment monitoring area under normal operation.
  • the difference between the acquired current maximum temperature and/or minimum temperature and/or average temperature and the previous time point or several previous time points is compared.
  • the highest temperature and/or the lowest temperature and/or the average temperature are compared, and when the corresponding temperature difference exceeds a preset deviation temperature threshold, it is determined that the temperature in the monitoring area of the well site equipment is abnormal.
  • the relationship between the specific part of the abnormal dynamic activity and the specific part of the abnormal temperature is also considered to determine the fault type.
  • FIG. 1 exemplarily shows the structural modules of the wellsite equipment monitoring system disclosed in accordance with the present invention.
  • Fig. 2 exemplarily shows a flow chart of the steps of the well site equipment monitoring method disclosed in the present invention.
  • the well site equipment monitoring system 100 may include a dynamic capture module 10 for capturing whether there is abnormal dynamic activity in the equipment monitoring area through video information, and for monitoring by detecting the temperature distribution of the well site equipment monitoring area.
  • the temperature detection module 20 for whether there is a temperature abnormality
  • the information processing module 30 for judging the abnormality type of the fault in the monitoring area of the well site equipment in combination with the output information of the dynamic capture module and the temperature detection module.
  • the motion capture module 10 may include a video acquisition unit 11 for acquiring video signals of the wellsite equipment monitoring area and a motion analysis unit 12 for analyzing the acquired video signals.
  • the dynamic analysis unit 12 analyzes the characteristics, such as pixels, of the current video signal collected by the video collection unit, for example, when the pixels of the current video signal exceed a preset pixel threshold (of course, it can also be Using other analysis methods), it is judged that there are abnormal dynamic activities currently in the monitoring area of the well site equipment.
  • the temperature detection module 20 may include a temperature acquisition unit 21 for acquiring the temperature distribution of the wellsite equipment monitoring area through thermal imaging principle, and based on the temperature distribution acquired by the temperature acquisition unit 21 to obtain the temperature information of the wellsite equipment monitoring area and Based on the temperature information, the temperature analysis unit 22 determines whether or not there is a temperature abnormality.
  • the temperature information includes a maximum temperature and/or a minimum temperature and/or an average temperature, and a specific location in the wellsite equipment monitoring area corresponding to the maximum temperature and/or the minimum temperature.
  • the temperature acquisition unit 21 collects the infrared radiation energy of the measured object by using the principle of thermal imaging or using equipment such as an infrared probe.
  • the temperature analysis unit 22 can analyze and judge the current maximum temperature and/or minimum temperature and/or average temperature of the obtained wellsite equipment monitoring area, and for example, the area corresponding to the maximum temperature and/or minimum temperature Whether there is an abnormal temperature in the monitoring area of the well site equipment.
  • the temperature analysis unit 22 can make the maximum temperature and/or the minimum temperature and/or the average temperature exceed the preset corresponding temperature threshold (that is, the current maximum temperature exceeds the temperature threshold corresponding to the maximum temperature and/or In the case where the current minimum temperature exceeds the temperature threshold corresponding to the minimum temperature and/or the current average temperature exceeds the temperature threshold corresponding to the average temperature), it is determined that there is an abnormal temperature in the monitoring area of the well site equipment and the specific temperature abnormality exists part.
  • the information processing module 30 When the information processing module 30 is combined with the dynamic capture module 10 to judge whether there is abnormal dynamic activity in the monitoring area of the well site equipment and the temperature detection module 20 analyzes and judges whether there is abnormal temperature in the monitoring area of the well site equipment, it will check the abnormality and update of the equipment monitoring area. Exactly the type of failure is analyzed and judged.
  • the preset pixel threshold is determined with reference to video pixels in the monitoring area of the device under normal operating conditions.
  • the corresponding temperature threshold is determined with reference to the corresponding temperature of the wellsite equipment monitoring area and the ambient temperature of the wellsite equipment monitoring area under normal operating conditions.
  • the fact that the information processing module 30 analyzes and judges the fault type specifically refers to that the information processing module 30 judges, according to the different information output by the dynamic capture module 10 and the temperature detection module 20, the fault of the well site equipment monitoring area. Fault type.
  • the information processing module 30 can, for example, determine that the well site There may be faults with abnormal operating temperature of some equipment in the equipment monitoring area; the dynamic capture module 10 determines that there is abnormal dynamic activity in the well site equipment monitoring area and the temperature detection module 20 determines that there is no abnormal temperature in the well site equipment monitoring area.
  • the information processing module 30 can, for example, judge that the equipment monitoring area may have abnormal vibrations and other faults; In the case of abnormal temperature, the information processing module 30 may, for example, determine that someone may break into the equipment monitoring area or the equipment pipeline may be punctured, and other failures occur.
  • the information processing module 30 can also judge the fault type of the well site equipment monitoring area according to the different information output by the dynamic capture module 10 and the temperature detection module 20 respectively. In other words, the information processing module 30 can judge the fault type of the well site equipment monitoring area according to the abnormal dynamic activity output by the dynamic capture module 10 or the abnormal temperature information output by the temperature detection module 20, as long as one of the two is sufficient The fault type can be determined.
  • the motion capture module 10 may further include, for example, a video signal storage library 13 configured to store a series of (ie in a time series) collected by the video capture unit 11 of the motion capture module 10 video signal.
  • the dynamic analysis unit 12 analyzes the current video signal of the equipment monitoring area collected by the video collection unit 11 and the collected video of the previous time point or several previous time points stored in the video signal storage library 13 The signals are compared to determine whether there is abnormal activity in the monitoring area of the equipment.
  • the dynamic analysis unit 12 may compare the currently collected video signal with the video signals collected at the previous time point or several previous time points, and analyze the pixel changes of the video signal at the corresponding position, and the pixel changes at the corresponding position When the pixel change exceeds a preset deviation pixel threshold, it is determined that there is abnormal dynamic activity at the corresponding part. That is, the dynamic analysis unit 12 can determine the specific location where the abnormal activity occurs according to the location of the pixel that exceeds the pixel deviation threshold.
  • the temperature detection module 20 may further include a temperature information storage library 23, which is configured to store the previous time point or the previous several points in the wellsite equipment monitoring area calculated or analyzed by the temperature analysis unit 22 Temperature information at a time point (ie, the highest temperature and/or the lowest temperature and/or the average temperature and their corresponding specific locations).
  • the temperature analysis unit 22 obtains the current maximum temperature and/or minimum temperature and/or average temperature by calculating the current temperature distribution in the monitoring area of the well site equipment collected by the temperature collection unit 21, and stores it with the temperature information. The corresponding temperature information of the previous time point or several previous time points stored in the library 23 is compared.
  • the temperature analysis unit determines that there is an abnormal temperature in the monitoring area of the well site equipment.
  • the specific location where the abnormal temperature occurs may also be determined in combination with the temperature distribution collected by the temperature collecting unit 21 .
  • the information processing module 30 further considers the relationship between the specific part of the abnormal dynamic activity and the specific part of the abnormal temperature to determine the fault type. That is to say, for example, when the specific part of the abnormal activity coincides with the specific part of the abnormal temperature, the information processing module 30 may determine that there is a puncture in the pipeline or the manifold of the equipment or a person breaks in, and the two do not When overlapping occurs, abnormal vibration of the equipment and intrusion of personnel may occur at the same time.
  • the wellsite equipment monitoring system 100 may further include an alarm module 40, which issues an alarm when the information processing module 30 determines the type of fault existing in the equipment monitoring area.
  • the well site equipment monitoring system 100 further includes a display unit 50, which displays the collected video signals and temperature distribution.
  • the present invention also relates to a well site equipment monitoring method, which is used to monitor the abnormality of the well site equipment monitoring area, which comprises the following steps:
  • S1 collect the video signal of the equipment monitoring area
  • S3 collect the temperature distribution in the monitoring area of the well site equipment
  • S4 Obtain temperature information in the monitoring area of the well site equipment based on the collected temperature distribution analysis, wherein the temperature information includes a maximum temperature and/or a minimum temperature and/or an average temperature, and the maximum temperature and/or The specific part in the monitoring area of the well site equipment corresponding to the lowest temperature;
  • the principle of thermal imaging or the use of infrared probes and other equipment is used to collect the infrared radiation energy of the measured object.
  • the difference in infrared radiant energy can be expressed through different levels of gray scale through related algorithms, and then the measured object can be displayed on the map.
  • Temperature Distribution On this basis, the current maximum temperature and/or minimum temperature and/or average temperature of the obtained wellsite equipment monitoring area and the area corresponding to, for example, the maximum temperature and/or minimum temperature are analyzed and the wellsite equipment monitoring area is judged Whether there is a current temperature anomaly.
  • the maximum temperature and/or the minimum temperature and/or the average temperature exceeds a preset corresponding temperature threshold (that is, the current maximum temperature exceeds the temperature threshold corresponding to the maximum temperature and/or the current minimum temperature
  • a preset corresponding temperature threshold that is, the current maximum temperature exceeds the temperature threshold corresponding to the maximum temperature and/or the current minimum temperature
  • S6 The fault type of the well site equipment is judged by considering the abnormal dynamic activity and the conclusion of the abnormal temperature at the same time.
  • the preset pixel threshold is determined with reference to video pixels in the monitoring area of the wellsite equipment under normal operating conditions.
  • the corresponding temperature threshold is determined with reference to the corresponding temperature of the wellsite equipment monitoring area and the ambient temperature of the wellsite equipment monitoring area under normal operating conditions.
  • analyzing and judging the fault type specifically refers to judging the fault type in the monitoring area of the well site equipment according to different abnormal dynamic activity information and abnormal temperature information.
  • it when it is determined that there is no abnormal dynamic activity in the monitoring area of the well site equipment and there is abnormal temperature in the monitoring area of the well site equipment, for example, it can be determined that there may be some equipment running in the monitoring area of the well site equipment Faults with abnormal temperature; when it is judged that there is abnormal dynamic activity in the monitoring area of the well site equipment and there is no abnormal temperature in the monitoring area of the well site equipment, for example, it can be judged that there may be abnormal vibration and other faults in the monitoring area of the well site equipment; And when it is judged that there is abnormal dynamic activity in the monitoring area of the well site equipment and there is also abnormal temperature in the monitoring area of the well site equipment, for example, it can be judged that someone may break into the monitoring area of the well site equipment or the equipment pipeline may be punctured, etc.
  • the type of fault in the monitoring area of the well site equipment can also be judged separately for the information of abnormal dynamic activity and abnormal temperature.
  • the fault type in the monitoring area of the well site equipment can be judged according to the abnormal dynamic activity or the abnormal temperature information, as long as one of the two is sufficient to judge the fault type.
  • the currently collected video signal is compared with the video signal collected at a previous time point or several previous time points, and the corresponding parts are analyzed.
  • the pixel change of the video signal when the pixel change at the corresponding part exceeds a preset deviation pixel threshold, it is determined that there is abnormal dynamic activity at the corresponding part. That is, it is possible to determine the specific location where the abnormal activity occurs based on the location of the pixel that exceeds the pixel deviation threshold.
  • the obtained current maximum temperature and/or minimum temperature and/or average temperature and the maximum temperature and/or the previous time point or previous time points are compared.
  • the minimum temperature and/or the average temperature are compared, and when the corresponding temperature difference exceeds the preset deviation temperature threshold, it is determined that the temperature in the monitoring area of the well site equipment is abnormal.
  • the specific location where the abnormal temperature occurs can also be determined in combination with the collected temperature distribution.
  • the fault type is also determined by considering the relationship between the specific part of the abnormal dynamic activity and the specific part of the temperature abnormality. Specifically, for example, when the specific part of the abnormal activity coincides with the specific part of the abnormal temperature, it may be judged that there is a puncture in the pipeline or manifold of the equipment or a person breaks in, but when the two do not overlap, Abnormal vibration of equipment and intrusion of personnel may occur at the same time.
  • the well site equipment can be dynamically compared and detected, and some key parts (such as a manifold or an engine prone to vibration) can be detected in combination with thermal imaging and dynamic capture. monitoring and automatic warning in the event of a failure. This monitoring method reduces the labor cost of well site monitoring and improves efficiency.

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Abstract

本发明涉及井场设备监控系统和方法，用于对井场设备监控区域的异常进行监控，其中，井场设备监控系统包括：动态捕捉模块，包括视频采集单元和动态分析单元，其中，视频采集单元采集设备监控区域的视频信号，并且动态分析单元基于所采集的视频信号分析判断设备监控区域是否存在异常动态活动；温度探测模块，包括温度采集单元和温度分析单元，其中，温度采集单元采集设备监控区域中的温度分布，并且温度分析单元基于所采集的温度分布分析获取设备监控区域中的温度信息并且基于温度信息来判断设备监控区域是否存在温度异常；以及信息处理模块，其在同时考虑异常动态活动和温度异常的情况下来判断井场设备监控区域的故障类型。

Description

井场设备监控系统和井场设备监控方法 技术领域
本发明涉及油田井场设备的故障监测领域。具体而言，本发明涉及井场设备监控系统以及井场设备监控方法，用于对井场设备监控区域的异常进行监控。
背景技术
在井场作业中，为了保证压裂作业过程中所使用设备安全地运行，进行作业的井场需要安排专人对井场设备和管线进行巡检，以便及时发现设备异常、管汇抖动、管汇刺漏等异常或危险。而在有些井场中，其设备的异常容易导致较为严重的安全事故，因此对巡检人员的安全也造成了较大的风险。
为了降低在设备巡检过程中巡检人员所面临的危险，视频监控技术逐渐得到应用来对设备的异常进行监控。通过在井场的合适位置处安装合适数量的摄像机系统来对压裂设备、井口、管汇或者说发动机、变速箱、电机、变压器、变频器以及供电线缆等核心部件和线路进行视频监控。在此过程中所产生的视频信号可以例如被传输至仪表设备或监控房，巡检人员可以通过仪表设备或监控房内对井场的重要设备、重要区域或核心部件等进行实时巡检。
然而，这种视频监控系统需要很大程度上依赖于巡检人员以及其经验来监控检查出设备的异常或者故障。同时由于需要监控的画面可能较多，巡检人员可能会漏检某些异常或者对故障类型判断失误。
发明内容
本发明的目的在于，提出一种井场设备监控系统和方法，其能够高效地同时降低人工成本地对井场设备的故障进行智能监控。
根据本发明的第一方面，提供了一种井场设备监控系统，用于对井场设备监控区域的异常进行监控，其包括：
动态捕捉模块，包括视频采集单元和动态分析单元，其中，所述视频采集单元采集所述井场设备监控区域的视频信号，并且所述动态分析单元基于所采集的视频信号分析判断所述井场设备监控区域是否存在异常动态活动；
温度探测模块，包括温度采集单元和温度分析单元，其中，所述温度采集单元采集所述井场设备监控区域中的温度分布，并且所述温度分析单元基于所采集的温度分布分析获取所述井场设备监控区域中的温度信息并且基于所述温度信息来判断所述井场设备监控区域是否存在温度异常，其中，所述温度信息包括最高温度和/或最低温度和/或平均温度，以及所述最高温度和/或最低温度所对应的在所述井场设备监控区域中的具体部位；以及
信息处理模块，其中，所述信息处理模块在同时考虑所述动态捕捉模块得出的异常动态活动和所述温度探测模块输出的温度异常的结论来判断所述井场设备监控区域的故障类型并输出相应信号。
可选地，在本发明的一些实施例中，对于所述动态捕捉模块，所述动态分析单元计算当前所采集的视频信号的像素，并且在所述当前所采集的视频信号的像素大于预先设定的像素阈值时判断出存在异常动态活动。
可选地，在本发明的一些实施例中，所述预先设定的像素阈值参考正常运行情况下所述井场设备监控区域的视频像素来确定。
可选地，在本发明的一些实施例中，所述动态捕捉模块还包括视频信号存储库，其中存储有所述视频采集单元所采集的视频信号。
可选地，在本发明的一些实施例中，所述动态分析单元将当前所采集的视频信号与前一时间点或者前几个时间点所采集的视频信号进行对比，并且分析在对应部位处视频信号的像素变化，在对应部位处的像素变化超过预先设定的偏差像素阈值的情况下判断出在所述对应部位处存在异常动态活动。
可选地，在本发明的一些实施例中，在所述温度探测模块中，所述温度分析单元在所述最高温度和/或最低温度和/或平均温度超 过预先设定的对应的温度阈值时，判断出所述井场设备监控区域存在温度异常以及存在温度异常的具体部位。
可选地，在本发明的一些实施例中，所述对应的温度阈值参考正常运行情况下所述井场设备监控区域的对应的温度以及所述井场设备监控区域的环境温度来确定。
可选地，在本发明的一些实施例中，所述温度探测模块还包括温度信息存储库，其中存储有所述温度分析单元分析得出的温度信息。
可选地，在本发明的一些实施例中，所述温度分析单元对所获取的当前的最高温度和/或最低温度和/或平均温度与所述温度信息存储库中存储的前一时间点或者前几时间点的最高温度和/或最低温度和/或平均温度进行比较，并且在对应的温度差超出预先设定的偏差温度阈值时，判断出所述井场设备监控区域的温度异常。
可选地，在本发明的一些实施例中，所述信息处理模块(30)还考虑所述异常动态活动的具体部位与所述温度异常的具体部位之间的关系来判断故障类型。
可选地，在本发明的一些实施例中，所述井场设备监控系统还包括报警模块，其中，所述报警模块在所述信息处理模块判断出所述设备监控区域内存在的故障类型时发出警报。
可选地，在本发明的一些实施例中，所述井场设备监控系统还包括显示单元，其中，所述显示单元对采集到的视频信号和温度分布进行显示。
根据本发明的第二方面，还提出一种井场设备监控方法，用于对井场设备监控区域的异常进行监控，包括如下步骤：
采集所述井场设备监控区域的视频信号；
基于所采集的视频信号分析判断所述井场设备监控区域是否存在异常动态活动；
采集所述井场设备监控区域中的温度分布；
基于所采集的温度分布分析获取所述井场设备监控区域中的温 度信息，其中，所述温度信息包括最高温度和/或最低温度和/或平均温度，以及所述最高温度和/或最低温度所对应的在所述井场设备监控区域中的具体部位；
基于所述温度信息来判断所述井场设备监控区域是否存在温度异常；以及
同时考虑所述异常动态活动和所述温度异常的结论来判断所述井场设备的故障类型。
可选地，在本发明的一些实施例中，在判断所述异常动态活动时，计算当前所采集的视频信号的像素，并且在所述当前所采集的视频信号的像素大于预先设定的像素阈值的情况下判断出存在异常动态活动。
可选地，在本发明的一些实施例中，所述预先设定的像素阈值参考正常运行情况下所述井场设备监控区域的视频像素来确定。
可选地，在本发明的一些实施例中，在判断所述异常动态活动时，将当前所采集的视频信号与前一时间点或者前几个时间点所采集的视频信号进行对比，并且分析在对应部位处视频信号的像素变化，在对应部位处的像素变化超过预先设定的偏差像素阈值的情况下判断出在所述对应部位处存在异常动态活动。
可选地，在本发明的一些实施例中，在判断所述温度异常时，在所述最高温度和/或最低温度和/或平均温度超过预先设定的对应的温度阈值时，判断出所述设备监控区域存在温度异常以及存在温度异常的具体部位。
可选地，在本发明的一些实施例中，所述对应的温度阈值参考正常运行情况下所述井场设备监控区域的对应的温度以及所述井场设备监控区域的环境温度来确定。
可选地，在本发明的一些实施例中，在判断所述温度异常时，对所获取的当前的最高温度和/或最低温度和/或平均温度与前一时间点或者前几时间点的最高温度和/或最低温度和/或平均温度进行比较，并且在对应的温度差超出预先设定的偏差温度阈值时，判断 出所述井场设备监控区域的温度异常。
可选地，在本发明的一些实施例中，还考虑所述异常动态活动的具体部位与所述温度异常的具体部位之间的关系来判断故障类型。
附图说明
为了更好地理解本发明的上述及其他目的、特征、优点和功能，可以参考附图中所示的优选实施方式。附图中相同的附图标记指代相同的部件。本领域技术人员应该理解，附图旨在示意性地阐明本发明的优选实施方式，对本发明的范围没有任何限制作用，其中，
图1示例性地示出了按照本发明所公开的井场设备监控系统的结构模块；以及
图2示例性地示出了按照本发明所公开的井场设备监控方法的步骤流程图。
附图标记清单
井场设备监控系统100
动态捕捉模块       10
视频采集单元       11
动态分析单元       12
视频信号存储库     13
温度探测模块       20
温度采集单元       21
温度分析单元       22
温度信息存储库     23
信息处理模块       30
报警模块           40
显示单元           50
具体实施方式
现在参考附图，详细描述本发明的具体实施方式。这里所描述的仅仅是根据本发明的优选实施方式，本领域技术人员可以在所述优选实施方式的基础上想到能够实现本发明的其他方式，所述其他方式同样落入本发明的范围。
参照图1，其示例性地示出了按照本发明所公开的井场设备监控系统100。由图1能够看出，井场设备监控系统100可以包括用于通过视频信息来捕捉设备监控区域是否存在异常动态活动的动态捕捉模块10、用于通过探测井场设备监控区域的温度分布来监控其中是否存在温度异常的温度探测模块20以及结合动态捕捉模块和温度探测模块的输出信息来判断井场设备监控区域的故障异常类型的信息处理模块30。
在本发明的范围中，动态捕捉模块10可以包括用来采集井场设备监控区域的视频信号的视频采集单元11以及用来对采集的视频信号进行分析的动态分析单元12。具体而言，动态分析单元12通过对视频采集单元所采集的当前的视频信号的特性、例如像素进行分析，例如在当前的视频信号的像素超过预先设定的像素阈值的情况下(当然也可以采用其他分析方式)，判断得出当前在井场设备监控区域内存在异常的动态活动。
此外，温度探测模块20可以包括用来通过热成像原理采集井场设备监控区域的温度分布的温度采集单元21以及基于温度采集单元21采集的温度分布来求得井场设备监控区域的温度信息并且基于该温度信息来判断是否存在温度异常的温度分析单元22。在此，温度信息包括最高温度和/或最低温度和/或平均温度，以及所述最高温度和/或最低温度所对应的在所述井场设备监控区域中的具体部位。在本发明的范围中，温度采集单元21利用热成像原理或者说使用红外探头等设备采集被测物体红外辐射能量。而从原理上来说，辐射能量和温度之间存在对应关系，在此可以通过相关算法，将红外辐射能量的不同，通过不同等级的灰度等级表现出来，进而在图上显示 出被测物体的温度分布。在此基础上，温度分析单元22能够对所得到的井场设备监控区域当前的最高温度和/或最低温度和/或平均温度以及例如最高温度和/或最低温度所对应的区域进行分析并且判断井场设备监控区域当前是否存在温度异常。具体而言，温度分析单元22能够在所述最高温度和/或最低温度和/或平均温度超过预先设定的对应的温度阈值(即当前的最高温度超过对应于最高温度的温度阈值和/或当前的最低温度超过对应于最低温度的温度阈值和/或当前的平均温度超过对应于平均温度的温度阈值)的情况下，判断出所述井场设备监控区域存在温度异常以及存在温度异常的具体部位。
信息处理模块30在同时结合动态捕捉模块10判断井场设备监控区域是否存在异常动态活动和温度探测模块20分析判断出井场设备监控区域是否存在温度异常的情况下，对设备监控区域的异常、更确切地说故障类型进行分析判断。
在本发明的范围中，预先设定的像素阈值参考正常运行情况下所述设备监控区域的视频像素来确定。类似地，对应的温度阈值参考正常运行情况下所述井场设备监控区域的对应的温度以及所述井场设备监控区域的环境温度来确定。
在本发明的范围中，信息处理模块30对故障类型进行分析判断具体指的是，信息处理模块30针对动态捕捉模块10和温度探测模块20所输出的不同的信息来判断井场设备监控区域的故障类型。换句话说，在此，在动态捕捉模块10判断出在设备监控区域不存在异常动态活动以及温度探测模块20判断出在设备监控区域存在温度异常的情况下，信息处理模块30例如可以判断出井场设备监控区域可能存在某些设备的运行温度异常的故障；在动态捕捉模块10判断出在井场设备监控区域存在异常动态活动以及温度探测模块20判断出在井场设备监控区域不存在温度异常的情况下，信息处理模块30例如可以判断出设备监控区域可能有异常振动等故障的发生；以及在动态捕捉模块10判断出在设备监控区域存在异常动态活动以及温度 探测模块20判断出在设备监控区域也存在温度异常的情况下，信息处理模块30例如可以判断出设备监控区域可能有人闯入或者设备管道可能发生刺漏，等故障发生。当然，在本发明的一些其他实施例中，信息处理模块30也可以分别单独针对动态捕捉模块10和温度探测模块20所输出的不同的信息来判断井场设备监控区域的故障类型。换句话说，信息处理模块30可以根据动态捕捉模块10输出的异常动态活动或者根据温度探测模块20所输出的温度异常信息来判断井场设备监控区域的故障类型，只要依据两者之一已经足够能够判断出故障类型。
在本发明的一些实施例中，动态捕捉模块10例如还可以包括视频信号存储库13，其构造用来存储动态捕捉模块10的视频采集单元11所采集的一系列(即在时间序列中的)视频信号。在此情况下，动态分析单元12通过对视频采集单元11所采集的、设备监控区域的当前视频信号与视频信号存储库13中所存储的前一时间点或者前几个时间点的采集的视频信号进行对比，来判断设备监控区域当前是否存在异常活动。例如，动态分析单元12可以将当前所采集的视频信号与前一时间点或者前几个时间点所采集的视频信号进行对比，并且分析在对应部位处视频信号的像素变化，在对应部位处的像素变化超过预先设定的偏差像素阈值的情况下判断出在所述对应部位处存在异常动态活动。也就是说，动态分析单元12能够根据出现超过像素偏差阈值的像素的位置来判断发生异常活动的具体位置。
在本发明的一些实施例中，温度探测模块20还可以包括温度信息存储库23，其构造用来存储温度分析单元22所计算或者分析的、井场设备监控区域前一时间点或者前几个时间点的温度信息(即最高温度和/或最低温度和/或平均温度及其分别对应的具体部位)。温度分析单元22在此通过对温度采集单元21所采集的、井场设备监控区域当前的温度分布来计算得到当前的最高温度和/或最低温度和/或平均温度，并且将其与温度信息存储库23中存储的前一时间点或 者前几个时间点的对应的温度信息进行对比。具体而言，例如在当前的最高温度和/或最低温度和/或平均温度与前一时间点或者前几个时间点的最高温度和/或最低温度和/或平均温度的差超过预先设定的温度偏差阈值的情况下，温度分析单元判断出井场设备监控区域存在温度异常。当然，在分析最高温度和/或最低温度的同时，也可以结合温度采集单元21所采集的温度分布来判断出该温度异常发生的具体位置。
在本发明的一些实施例中，信息处理模块30还考虑异常动态活动的具体部位与温度异常的具体部位之间的关系来判断故障类型。也就是说，例如，在异常活动的具体部位与温度异常的具体部位重合时，则信息处理模块30可能判断出在设备的管道或者管汇处发生刺漏或者有人员闯入，而两者不发生重合时，则有可能同时发生设备的异常振动以及人员闯入。
在本发明的一些实施例中，井场设备监控系统100还可以包括报警模块40，其在信息处理模块30判断出设备监控区域内存在的故障类型的情况下发出警报。此外，井场设备监控系统100还包括显示单元50，其对采集到的视频信号和温度分布进行显示。
本发明还涉及一种井场设备监控方法，用来对井场设备监控区域的异常进行监控，其包括如下步骤：
S1：采集所述设备监控区域的视频信号；
S2：基于所采集的视频信号分析判断所述设备监控区域是否存在异常动态活动；
具体而言，通过对所采集的当前的视频信号的特性、例如像素进行分析，例如在当前的视频信号的像素超过预先设定的像素阈值的情况下(当然也可以采用其他分析方式)，判断得出当前在井场设备监控区域内存在异常的动态活动。
S3：采集所述井场设备监控区域中的温度分布；
S4：基于所采集的温度分布分析获取所述井场设备监控区域中的温度信息，其中，所述温度信息包括最高温度和/或最低温度和/ 或平均温度，以及所述最高温度和/或最低温度所对应的在所述井场设备监控区域中的具体部位；
S5：基于所述温度信息来判断所述井场设备监控区域是否存在温度异常；
具体而言，利用热成像原理或者说使用红外探头等设备采集被测物体红外辐射能量。而从原理上来说，辐射能量和温度之间存在对应关系，在此可以通过相关算法，将红外辐射能量的不同，通过不同等级的灰度等级表现出来，进而在图上显示出被测物体的温度分布。在此基础上，对所得到的井场设备监控区域当前的最高温度和/或最低温度和/或平均温度以及例如最高温度和/或最低温度所对应的区域进行分析并且判断井场设备监控区域当前是否存在温度异常。具体而言，例如，在所述最高温度和/或最低温度和/或平均温度超过预先设定的对应的温度阈值(即当前的最高温度超过对应于最高温度的温度阈值和/或当前的最低温度超过对应于最低温度的温度阈值和/或当前的平均温度超过对应于平均温度的温度阈值)的情况下，判断出所述井场设备监控区域存在温度异常以及存在温度异常的具体部位。
S6：同时考虑所述异常动态活动和所述温度异常的结论来判断所述井场设备的故障类型。
在本发明的范围中，预先设定的像素阈值参考正常运行情况下所述井场设备监控区域的视频像素来确定。类似地，对应的温度阈值参考正常运行情况下所述井场设备监控区域的对应的温度以及所述井场设备监控区域的环境温度来确定。
在本发明的范围中，对故障类型进行分析判断具体指的是，针对不同的异常动态活动信息和温度异常信息来判断井场设备监控区域的故障类型。换句话说，在此，在判断出在井场设备监控区域不存在异常动态活动以及在井场设备监控区域存在温度异常的情况下，例如可以判断出井场设备监控区域可能存在某些设备的运行温度异常的故障；在判断出在井场设备监控区域存在异常动态活动以 及在井场设备监控区域不存在温度异常的情况下，例如可以判断出井场设备监控区域可能有异常振动等故障的发生；以及在判断出在井场设备监控区域存在异常动态活动以及在井场设备监控区域也存在温度异常的情况下，例如可以判断出井场设备监控区域可能有人闯入或者设备管道可能发生刺漏，等故障发生。当然，在本发明的一些其他实施例中，也可以分别单独针对异常动态活动以及温度异常的信息来判断井场设备监控区域的故障类型。换句话说，可以根据异常动态活动或者根据温度异常信息来判断井场设备监控区域的故障类型，只要依据两者之一已经足够能够判断出故障类型。
在本发明的一些实施例中，在判断所述异常动态活动时，将当前所采集的视频信号与前一时间点或者前几个时间点所采集的视频信号进行对比，并且分析在对应部位处视频信号的像素变化，在对应部位处的像素变化超过预先设定的偏差像素阈值的情况下判断出在所述对应部位处存在异常动态活动。也就是说，能够根据出现超过像素偏差阈值的像素的位置来判断发生异常活动的具体位置。
在本发明的一些实施例中，在判断所述温度异常时，对所获取的当前的最高温度和/或最低温度和/或平均温度与前一时间点或者前几时间点的最高温度和/或最低温度和/或平均温度进行比较，并且在对应的温度差超出预先设定的偏差温度阈值的情况下，判断出所述井场设备监控区域的温度异常。当然，在分析最高温度和/或最低温度的情况下，也可以结合所采集的温度分布来判断出该温度异常发生的具体位置。
在本发明的一些实施例中，还考虑所述异常动态活动的具体部位与所述温度异常的具体部位之间的关系来判断故障类型。具体而言，例如，在异常活动的具体部位与温度异常的具体部位重合时，则可能判断出在设备的管道或者管汇处发生刺漏或者有人员闯入，而两者不发生重合时，则有可能同时发生设备的异常振动以及人员闯入。
根据本发明所公开的井场设备监控系统以及方法能够对井场设 备进行动态对比和检测，并且针对某些重点部位(例如管汇或者容易发生振动的发动机等)结合热成像和动态捕捉进行故障监测，并且在发生故障时能够自动地进行预警。这种监控方式降低了井场监控的人工成本同时提高了效率。
本发明的多种实施方式的以上描述出于描述的目的提供给相关领域的一个普通技术人员。不意图将本发明排他或局限于单个公开的实施方式。如上，以上教导的领域中的普通技术人员将明白本发明的多种替代和变型。因此，虽然具体描述了一些替代实施方式，本领域普通技术人员将明白或相对容易地开发其他实施方式。本发明旨在包括这里描述的本发明的所有替代、改型和变型，以及落入以上描述的本发明的精神和范围内的其他实施方式。

Claims (20)

  1. 一种井场设备监控系统(100)，用于对井场设备监控区域的异常进行监控，其特征在于，包括：
    动态捕捉模块(10)，包括视频采集单元(11)和动态分析单元(12)，其中，所述视频采集单元(11)采集所述井场设备监控区域的视频信号，并且所述动态分析单元(12)基于所采集的视频信号分析判断所述井场设备监控区域是否存在异常动态活动；
    温度探测模块(20)，包括温度采集单元(21)和温度分析单元(22)，其中，所述温度采集单元(21)采集所述井场设备监控区域中的温度分布，并且所述温度分析单元(22)基于所采集的温度分布分析获取所述井场设备监控区域中的温度信息并且基于所述温度信息来判断所述井场设备监控区域是否存在温度异常，其中，所述温度信息包括最高温度和/或最低温度和/或平均温度，以及所述最高温度和/或最低温度所对应的在所述井场设备监控区域中的具体部位；以及
    信息处理模块(30)，其中，所述信息处理模块(30)在同时考虑所述动态捕捉模块(10)得出的异常动态活动和所述温度探测模块(20)输出的温度异常的结论来判断所述井场设备监控区域的故障类型并输出相应信号。
  2. 按照权利要求1所述的井场设备监控系统(100)，其特征在于，对于所述动态捕捉模块(10)，所述动态分析单元(12)计算当前所采集的视频信号的像素，并且在所述当前所采集的视频信号的像素大于预先设定的像素阈值时判断出存在异常动态活动。
  3. 按照权利要求2所述的井场设备监控系统(100)，其特征在于，所述预先设定的像素阈值参考正常运行情况下所述井场设备监控区域的视频像素来确定。
  4. 按照权利要求1所述的井场设备监控系统(100)，其特征在于，所述动态捕捉模块(10)还包括视频信号存储库(13)，其 中存储有所述视频采集单元(11)所采集的视频信号。
  5. 按照权利要求4所述的井场设备监控系统(100)，其特征在于，所述动态分析单元(12)将当前所采集的视频信号与前一时间点或者前几个时间点所采集的视频信号进行对比，并且分析在对应部位处视频信号的像素变化，在对应部位处的像素变化超过预先设定的偏差像素阈值的情况下判断出在所述对应部位处存在异常动态活动。
  6. 按照权利要求1所述的井场设备监控系统(100)，其特征在于，在所述温度探测模块(20)中，所述温度分析单元(22)在所述最高温度和/或最低温度和/或平均温度超过预先设定的对应的温度阈值时，判断出所述井场设备监控区域存在温度异常以及存在温度异常的具体部位。
  7. 按照权利要求6所述的井场设备监控系统(100)，其特征在于，所述对应的温度阈值参考正常运行情况下所述井场设备监控区域的对应的温度以及所述井场设备监控区域的环境温度来确定。
  8. 按照权利要求1所述的井场设备监控系统(100)，其特征在于，所述温度探测模块(20)还包括温度信息存储库(23)，其中存储有所述温度分析单元(22)分析得出的温度信息。
  9. 按照权利要求8所述的井场设备监控系统(100)，其特征在于，所述温度分析单元(22)对所获取的当前的最高温度和/或最低温度和/或平均温度与所述温度信息存储库(23)中存储的前一时间点或者前几时间点的最高温度和/或最低温度和/或平均温度进行比较，并且在对应的温度差超出预先设定的偏差温度阈值时，判断出所述井场设备监控区域的温度异常。
  10. 按照权利要求5所述的井场设备监控系统(100)，其特征在于，所述信息处理模块(30)还考虑所述异常动态活动的具体部位与所述温度异常的具体部位之间的关系来判断故障类型。
  11. 按照权利要求1所述的井场设备监控系统(100)，其特征在于，所述井场设备监控系统(100)还包括报警模块(40)，其中， 所述报警模块(40)在所述信息处理模块(30)判断出所述设备监控区域内存在的故障类型时发出警报。
  12. 按照权利要求1所述的井场设备监控系统(100)，其特征在于，所述井场设备监控系统(100)还包括显示单元(50)，其中，所述显示单元(50)对采集到的视频信号和温度分布进行显示。
  13. 井场设备监控方法，用于对井场设备监控区域的异常进行监控，其特征在于，包括如下步骤：
    采集所述井场设备监控区域的视频信号(S1)；
    基于所采集的视频信号分析判断所述井场设备监控区域是否存在异常动态活动(S2)；
    采集所述井场设备监控区域中的温度分布(S3)；
    基于所采集的温度分布分析获取所述井场设备监控区域中的温度信息(S4)，其中，所述温度信息包括最高温度和/或最低温度和/或平均温度，以及所述最高温度和/或最低温度所对应的在所述井场设备监控区域中的具体部位；
    基于所述温度信息来判断所述井场设备监控区域是否存在温度异常(S5)；以及
    同时考虑所述异常动态活动和所述温度异常的结论来判断所述井场设备的故障类型(S6)。
  14. 按照权利要求13所述的井场设备监控方法，其特征在于，在判断所述异常动态活动时，计算当前所采集的视频信号的像素，并且在所述当前所采集的视频信号的像素大于预先设定的像素阈值的情况下判断出存在异常动态活动。
  15. 按照权利要求14所述的井场设备监控方法，其特征在于，所述预先设定的像素阈值参考正常运行情况下所述井场设备监控区域的视频像素来确定。
  16. 按照权利要求13所述的井场设备监控方法，其特征在于，在判断所述异常动态活动时，将当前所采集的视频信号与前一时间点或者前几个时间点所采集的视频信号进行对比，并且分析在对应 部位处视频信号的像素变化，在对应部位处的像素变化超过预先设定的偏差像素阈值的情况下判断出在所述对应部位处存在异常动态活动。
  17. 按照权利要求13所述的井场设备监控方法，其特征在于，在判断所述温度异常时，在所述最高温度和/或最低温度和/或平均温度超过预先设定的对应的温度阈值时，判断出所述设备监控区域存在温度异常以及存在温度异常的具体部位。
  18. 按照权利要求17所述的井场设备监控方法，其特征在于，所述对应的温度阈值参考正常运行情况下所述井场设备监控区域的对应的温度以及所述井场设备监控区域的环境温度来确定。
  19. 按照权利要求13所述的井场设备监控方法，其特征在于，在判断所述温度异常时，对所获取的当前的最高温度和/或最低温度和/或平均温度与前一时间点或者前几时间点的最高温度和/或最低温度和/或平均温度进行比较，并且在对应的温度差超出预先设定的偏差温度阈值时，判断出所述井场设备监控区域的温度异常。
  20. 按照权利要求16所述的井场设备监控方法，其特征在于，还考虑所述异常动态活动的具体部位与所述温度异常的具体部位之间的关系来判断故障类型。
PCT/CN2021/090031 2021-02-18 2021-04-26 井场设备监控系统和井场设备监控方法 WO2022174516A1 (zh)

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