An off-grid petroleum equipment intelligent monitoring system and method

Abstract

The invention relates to the technical field of petroleum equipment status feedback alarm, and discloses an off-grid petroleum equipment intelligent monitoring system and method, wherein the system comprises a target pumping unit monitoring position search module, a target pumping unit operating status monitoring module, and a target pumping unit abnormal operating status alarm module; the target pumping unit mechanism appearance image parameters are combined with an intelligent search algorithm and scientifically preset pumping unit mechanism fault appearance image parameters to perform intelligent analysis of the target pumping unit mechanism appearance abnormal status, thereby realizing reliable and true analysis of the appearance status of each mechanism of the target pumping unit; based on the target pumping unit mechanism operation abnormal status recognition result and the target pumping unit mechanism appearance abnormality analysis result, a scientific, comprehensive and accurate analysis of the operating status of the target pumping unit in the oil field is realized, thereby improving the authenticity and reliability of the oil field pumping unit operating status monitoring result.

Description

Technical Field

[0001] The invention relates to the technical field of petroleum equipment state feedback alarm, and in particular to an off-grid petroleum equipment intelligent monitoring system and method. Background Art

[0002] The oil pumping unit in petroleum equipment is a kind of machine equipment for oil extraction, commonly known as "kowtow machine". The oil pumping unit is the most important lifting equipment in the rod pumping system. According to whether there is a walking beam, it can be divided into a walking beam type oil pumping unit and a non-walking beam type oil pumping unit. Among them, the walking beam type oil pumping unit is the most widely used. The basic characteristics of the walking beam type oil pumping unit are simple structure, easy manufacturing, convenient use, especially it can be operated in the oil field all day for a long time and reliable use. The working principle of the walking beam type oil pumping unit is: the power is supplied by the power machine, the high-speed rotation of the power machine is converted into the low-speed rotation of the crank of the oil pumping unit through the reducer, and the rotational motion is converted into the up and down reciprocating motion of the donkey head of the oil pumping unit by the crank-connecting rod-walking beam mechanism, and the deep well pump is driven to work through the suspension rope assembly. The main components of a beam pump are: a power machine that provides power; a reducer that transmits power and reduces speed; a four-bar mechanism (crank, connecting rod, beam, bracket, crossbeam and base) that transmits power and converts rotational motion into reciprocating motion; a donkey head and rope suspension assembly that transmits power and ensures that the bare rod performs reciprocating linear motion; a brake device that allows the pump to stay at any position and a balancing device that allows the power machine to work within a smaller load variation range; the installation positions of beam pumps in the oil extraction process are randomly distributed according to the distribution characteristics of oil in the oil field and the number is large. Therefore, how to accurately and efficiently monitor and feedback the operating status of beam pumps based on the working conditions of the oil field local area communication network has become a very important topic. The existing operating status monitoring of beam pumps cannot achieve efficient and intelligent monitoring of the operating status in real scenarios, nor can it achieve accurate alarm feedback of abnormal conditions of beam pumps.

[0003] A Chinese invention patent application with publication number CN116721528A discloses a fire protection Internet of Things smart system that can monitor the status of water and electricity in real time. By setting up a smart fire data acquisition module, a smart fire data transmission module, an alarm module and a smart fire data monitoring module, water and electricity fire data acquisition, water and electricity status monitoring and abnormal water and electricity status alarm feedback are realized; however, the above technical solution cannot monitor the mechanical structure status of the hydropower equipment, but can only monitor the operating parameter status of the hydropower equipment and cannot comprehensively and scientifically evaluate the actual operating status of the hydropower equipment. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In order to solve the problem that the above-mentioned existing walking beam pump operating status monitoring cannot realize efficient and intelligent monitoring of the operating status in real scenarios, and cannot realize accurate alarm feedback of abnormal status of the walking beam pump, the above purpose is to accurately locate the position information of the target oil field pump, efficiently collect the appearance image parameters of the target pump mechanism, accurately obtain the physical parameters of the target pump mechanism operating status, intelligently analyze the abnormal status of the target pump mechanism appearance, scientifically identify the abnormal physical status of the mechanism operation, accurately evaluate the operating status of the target pump, and scientifically and intuitively alarm and feedback the monitoring results of the target pump operation status.

[0006] (II) Technical solution

[0007] The present invention is implemented by the following technical scheme: an off-grid petroleum equipment intelligent monitoring method, the method comprising the following steps:

[0008] S1, collecting identification data of target oil pumping units;

[0009] S2, performing a spatial position coordinate search process of the oil field where the target oil pumping unit object is located based on the target oil pumping unit identification data and the oil field oil pumping unit object spatial coordinate data, generating the target oil pumping unit spatial coordinate data and performing the target oil pumping unit operation status monitoring operation;

[0010] S3, collecting appearance image data of the target pumping unit mechanism and physical data of the target pumping unit mechanism operation status;

[0011] S4, performing an analysis process on the abnormal state of the target pumping unit's mechanism appearance according to the target pumping unit mechanism appearance image data and the pumping unit mechanism fault appearance image data, and generating target pumping unit mechanism appearance abnormality analysis data;

[0012] S5, based on the physical data of the target pumping unit mechanism operation state and the physical data of the pumping unit mechanism operation fault state, the target pumping unit mechanism operation abnormal physical state recognition data is generated, and the target pumping unit mechanism operation abnormal physical state recognition data is combined with the target pumping unit mechanism appearance abnormality analysis data to perform target pumping unit operation state analysis processing, and construct target pumping unit operation state judgment data; when it is normal, directly end the target pumping unit operation state monitoring operation;

[0013] S6. When it is abnormal, the abnormal operation status monitoring data of the target pumping unit is constructed and matched with the target pumping unit abnormal operation monitoring information and the oilfield geographical location data of the oilfield pumping unit object location and the oilfield entity model combination data to generate the combined display data of the pumping unit abnormal monitoring result and the oilfield on-site geographical location;

[0014] S7, performing an alarm feedback operation on the abnormal operation status of the target oil pumping unit based on the combination display data of the abnormal monitoring result of the oil pumping unit and the geographical location of the oil field site.

[0015] Preferably, the operation steps of collecting the target pumping unit identification data are as follows:

[0016] S11. Collect the identity feature text information of the oil field pumping unit to be monitored online through the oil production monitoring platform and generate the target pumping unit identity recognition data The target pumping unit identification data includes the equipment identification number, equipment specification model, equipment name and equipment manufacturer of the target pumping unit in the oil field.

[0017] Preferably, the operation steps of searching for the spatial position coordinates of the oil field where the target pumping unit object is located are performed based on the target pumping unit identification data and the oil field pumping unit object spatial coordinate data, generating the target pumping unit spatial coordinate data and performing the target pumping unit operation status monitoring operation are as follows:

[0018] S21. Establishing the spatial coordinate data set of the oilfield pumping unit object , ;in Indicates oil field The spatial coordinate data of the oilfield pumping unit object corresponding to the pumping unit identification object, Indicates the maximum value of the number of oil pumping unit identification objects, wherein the oil field oil pumping unit object spatial coordinate data includes the longitude, latitude and altitude of the oil field oil pumping unit;

[0019] S22, using the KD tree nearest neighbor search algorithm to identify the target pumping unit The oilfield pumping unit object spatial coordinate data set The spatial coordinate data of the oil field pumping unit object Perform keyword matching of the pumping unit's identification features to search for the target pumping unit's identification data The corresponding spatial coordinate data of the oil field pumping unit object , and construct the spatial coordinate data of the target pumping unit , the target pumping unit spatial coordinate data includes the longitude, latitude and altitude of the target pumping unit;

[0020] S23, using a cloud camera mounted on a drone to obtain spatial coordinate data of the target pumping unit The corresponding spatial coordinate information flies to the target pumping unit position in the oil field and performs the target pumping unit operation status monitoring operation.

[0021] Preferably, the operation steps of collecting the appearance image data of the target pumping unit mechanism and the physical data of the operating status of the target pumping unit mechanism are as follows:

[0022] S31. During the operation of monitoring the target pumping unit's operating status, a cloud camera mounted on a drone is used to collect online appearance image data of each mechanical operating mechanism object of the target pumping unit, and a target pumping unit mechanism appearance image data set is generated. , ;in Indicates The target pumping unit mechanism appearance image data corresponding to the target pumping unit mechanism object, represents the maximum value of the number of target pumping unit mechanism objects, wherein the target pumping unit mechanism objects include a power unit mechanism, a reducer mechanism, a four-bar mechanism, a donkey head mechanism and a suspension rope assembly mechanism;

[0023] The physical parameters of the operating state of each mechanical operating mechanism object of the target pumping unit are collected online through the state measurement sensor installed on the surface of the target pumping unit mechanism object, and a physical data set of the operating state of the target pumping unit mechanism is generated. ,in Indicates The target pumping unit mechanism object corresponds to the target pumping unit mechanism operating status physical data, the target pumping unit mechanism operating status physical data includes the working temperature data, working pressure data, working flow data, working power data, working speed data and working noise data of the target pumping unit mechanism object, and the state measurement sensor includes a temperature sensor, a pressure sensor, a flow sensor, a power sensor, a speed sensor and a noise sensor.

[0024] Preferably, the operation steps of performing abnormal state analysis of the target pumping unit's mechanism appearance according to the target pumping unit mechanism appearance image data and the pumping unit mechanism fault appearance image data to generate abnormal state analysis data of the target pumping unit mechanism appearance are as follows:

[0025] S41. Establishing a data set of pumping unit mechanism fault appearance images , ;in Indicates The pumping unit mechanism fault appearance image data corresponding to the pumping unit mechanism fault type, Indicates the maximum value of the number of pumping unit mechanism fault types, where the pumping unit mechanism fault types include cracks, dents, deformations, rust and fractures that appear on the appearance of mechanical parts in the pumping unit mechanism; the pumping unit mechanism fault appearance image data indicates appearance image data corresponding to different mechanical parts fault types in the pumping unit mechanism;

[0026] S42, collecting the target pumping unit mechanism appearance image data set The target pumping unit mechanism appearance image data A data set of pumping unit mechanism fault appearance images The image data of the pumping unit mechanism fault appearance According to the target pumping unit mechanism object number, the mechanism appearance image feature matching is carried out in order, and the target pumping unit mechanism appearance abnormality analysis data set is generated based on the mechanism appearance image feature matching results. , execute and generate the target pumping unit mechanism appearance abnormality analysis data set The specific steps are as follows:

[0027] S421, initialization, in the pumping unit mechanism fault appearance image data set Randomly update the position of the Tasmanian badger population for mechanism fault identification in the search space and set the maximum number of iterations of the algorithm T. The update formula for the position of the Tasmanian badger for mechanism fault identification is as follows: ,in Indicator failure to identify Tasmanian devil individuals exist The position of the dimensional search space, i.e., the mechanism failure to identify the Tasmanian devil individual In the spatial dimension The pumping unit mechanism fault appearance image data set The location of the search space, , Respectively represent the pumping unit mechanism fault appearance image data set The lower and upper boundaries of the search space, Represents a random number in the interval [0,1];

[0028] S422, exploration stage, mechanism fault identification Tasmanian devil tendency in the pumping unit mechanism fault appearance image data set Search the search space for the pumping unit mechanism fault appearance image data Carrion feeding, mechanism fault identification of Tasmanian devils in the pumping unit mechanism fault appearance image dataset Scanning the habitat area in the search space to identify the pumping unit mechanism fault appearance image data Carrion, mechanism fault identification Tasmanian devil scanning habitat area behavior is similar to the algorithm search process in the problem space, that is, mechanism fault identification Tasmanian devil individuals in the pumping unit mechanism fault appearance image data set Search the search space for the appearance image data of the target pumping unit mechanism Matching the pumping unit mechanism fault appearance image data ; Mechanism fault identification The behavior simulation formula of the Tasmanian devil identifying the selected carrion is as follows: ,in Indicator failure to identify Tasmanian devil individuals In the pumping unit mechanism fault appearance image data set Search the search space for the position of the selected target carrion, Represents the image data set of the appearance of the pumping unit mechanism fault identified by the individual Tasmanian devil Select target carrion in the search space location, ,in Indicator failure to identify Tasmanian devil individuals The maximum number of carrion to search;

[0029] Based on the selected target carrion, mechanism fault identification of Tasmanian devil in the pumping unit mechanism fault appearance image dataset The new position in the search space is calculated, and the formula for calculating the new position of the Tasmanian devil for mechanism fault identification is as follows: ,in Indicator failure to identify Tasmanian devil individuals In the pumping unit mechanism fault appearance image data set The position before the update in the search space; Indicator failure to identify Tasmanian devil individuals In the pumping unit mechanism fault appearance image data set The updated position in the search space; and Respectively represent the fault appearance image data set of the pumping unit mechanism Mechanism failure in the search space identifies carrion quality parameters of the Tasmanian devil individual’s position coordinates before and after position update;

[0030] S423, development stage, the development stage of the mechanism fault identification Tasmanian devil is to hunt prey. The mechanism fault identification Tasmanian devil has two stages in the process of attacking prey. In the first stage, the mechanism fault identification Tasmanian devil scans the appearance image data set of the pumping unit mechanism fault. Search and attack the appearance image data of the target pumping unit mechanism in the search space Matching the pumping unit mechanism fault appearance image data In the second stage, the mechanism fault identification Tasmanian devil is in the pumping unit mechanism fault appearance image data set The search space is close to the target pumping unit appearance image data Matching the pumping unit mechanism fault appearance image data After the prey, the mechanism fault identification Tasmanian devil chased the target pumping unit mechanism appearance image data Matching the pumping unit mechanism fault appearance image data Prey and prey on the pumping unit mechanism fault appearance image data Prey; Mechanism failure identification The behavior simulation formula of the Tasmanian devil identifying the selected prey is as follows: ,in Indicator failure to identify Tasmanian devil individuals In the pumping unit mechanism fault appearance image data set Searching for the selected target in the search space: the pumping unit mechanism fault appearance image data The location of the prey, Represents the image dataset of the appearance of the pumping unit mechanism fault identification Tasmanian devil individuals The target selected in the search space is the pumping unit mechanism fault appearance image data prey location, ,in Failure of institutions to identify individual Tasmanian devils The maximum number of prey to search;

[0031] Based on the selected target, the pumping unit mechanism fault appearance image data Prey, Mechanism Fault Identification of Tasmanian Devil in the Pumping Unit Mechanism Fault Appearance Image Data Set The new position in the search space is calculated, and the formula for calculating the new position of the Tasmanian devil for mechanism fault identification is as follows: ,in Indicator failure to identify Tasmanian devil individuals In the pumping unit mechanism fault appearance image data set The position before the update in the search space; Indicator failure to identify Tasmanian devil individuals In the pumping unit mechanism fault appearance image data set The updated position in the search space; and Respectively represent the fault appearance image data set of the pumping unit mechanism Mechanism failure in the search space identifies the prey quality parameters of the position coordinates of Tasmanian devil individuals before and after position update;

[0032] S424: When the algorithm meets the maximum number of iterations, the target pumping unit appearance image data is output. Image data of the pumping unit failure appearance The image feature matching results of the mechanism appearance;

[0033] S425: Based on the target pumping unit appearance image data output in step S424 Image data of the pumping unit failure appearance The image feature matching results of the mechanism appearance are used to generate the target pumping unit mechanism appearance abnormality analysis data set ,in express Target pumping unit mechanism appearance abnormality analysis data corresponding to a target pumping unit mechanism object;

[0034] When the and The image feature matching of the mechanism appearance is successful, indicating The target pumping unit mechanism object exists If there is a type of pumping unit failure, the target pumping unit appearance abnormality analysis data will be output. Abnormal and synchronous output The target pumping unit mechanism object exists Types of pumping unit failures;

[0035] When the and The image features of the appearance of the organization were not matched successfully, indicating If the target pumping unit mechanism object does not have the pumping unit mechanism fault type, the target pumping unit mechanism appearance abnormality analysis data is output. is normal.

[0036] Preferably, based on the physical data of the target pumping unit mechanism operation state and the physical data of the pumping unit mechanism operation fault state, the abnormal physical state identification processing of the target pumping unit mechanism operation is performed, and the target pumping unit mechanism operation abnormal physical state identification data is generated and combined with the target pumping unit mechanism appearance abnormality analysis data to perform target pumping unit operation state analysis processing, and construct the target pumping unit operation state judgment data; when it is normal, the operation steps of directly ending the target pumping unit operation state monitoring operation are as follows:

[0037] S51. Establishing a physical data set of the pumping unit mechanism operation fault status , ;in Indicates The physical data set of the pumping unit mechanism operation fault status corresponding to each pumping unit mechanism object, Indicates The first The physical data of the pumping unit mechanism operation fault state corresponding to the physical parameter type of the pumping unit mechanism operation state, Indicates the maximum value of the number of types of physical parameters of the operating state of the oil pumping mechanism, wherein the physical data of the operating fault state of the oil pumping mechanism includes an operating fault temperature data interval, an operating fault pressure data interval, an operating fault flow data interval, an operating fault power data interval, an operating fault speed data interval, and an operating fault noise interval of a target oil pumping mechanism object;

[0038] S52, using a breadth-first search algorithm to collect the target pumping unit mechanism operating state physical data set Physical data of the target pumping unit operating status A physical data set related to the pumping unit mechanism operating fault status Physical data of the pumping unit mechanism operating fault state According to the target pumping unit mechanism object number and the pumping unit mechanism operation state physical parameter type number, the operation state physical parameter value matching of the pumping unit mechanism is carried out in order, and the target pumping unit mechanism operation abnormal physical state identification data set is generated according to the operation state physical parameter value matching result of the pumping unit mechanism ,in Indicates The target pumping unit mechanism object corresponds to the target pumping unit mechanism operation abnormal physical state identification data set, Indicates The target pumping unit identification data of abnormal physical state of target pumping unit mechanism operation corresponding to the physical parameter type of pumping unit mechanism operation state;

[0039] When the and The physical parameter value matching of the pumping unit's operating status is successful, indicating that The target pumping unit If there is a fault in the physical parameter type of the pumping unit mechanism operation status, the target pumping unit mechanism operation abnormal physical status identification data is output. Abnormal and synchronous output The target pumping unit There is a fault in the physical parameter type of the pumping unit mechanism operation status;

[0040] When the and The physical parameter values ​​of the pumping unit's operating status have not been matched successfully, indicating The target pumping unit If there is no fault in the physical parameter type of the pumping unit mechanism operation status, the target pumping unit mechanism operation abnormal physical status identification data is output. is normal;

[0041] S53, analyzing the data set based on the abnormal appearance of the target pumping unit mechanism Abnormal appearance analysis data of the target pumping unit mechanism and a data set for identifying abnormal physical state of the target pumping unit mechanism Abnormal physical state identification data of the target pumping unit mechanism Analyze and process the target pumping unit's operating status and construct the target pumping unit's operating status judgment data ;

[0042] when and If all are normal, it means that there is no operating fault in the target pumping unit mechanism, then the target pumping unit operating status judgment data is output. If the result is normal, the target pumping unit operation status monitoring operation is terminated directly;

[0043] when and If there is an abnormality in the target pumping unit, it means that there is an operating fault in the target pumping unit mechanism, then the target pumping unit operating status judgment data is output. is abnormal.

[0044] Preferably, when the abnormality occurs, abnormal operation status monitoring data of the target pumping unit is constructed and the abnormal operation monitoring information of the target pumping unit is matched with the oilfield pumping unit object position and the oilfield entity model combination data to generate the combined display data of the abnormal monitoring result of the pumping unit and the oilfield on-site geographical location as follows:

[0045] S61, when the target pumping unit operation status judgment data When it is abnormal, the target pumping unit identification data , the spatial coordinate data of the target pumping unit , the target pumping unit mechanism appearance abnormality analysis data set , the target pumping unit mechanism abnormal physical state identification data set and the target pumping unit operation status judgment data Combine data to construct abnormal operation status monitoring data of target pumping unit ;

[0046] S62. Establishing oilfield pumping unit object location and oilfield entity model combination data The oilfield pumping unit object position and oilfield entity model combined data represent the combined data generated by matching the spatial position coordinates of all the pumping unit objects distributed in the oilfield with the three-dimensional entity model of the oilfield;

[0047] S63, monitoring data of abnormal operation status of the target pumping unit Combined data with the oilfield pumping unit object location and oilfield entity model According to the matching of spatial coordinate values, the abnormal monitoring results of the pumping unit and the combined display data of the geographical location of the oil field are generated. .

[0048] Preferably, the operation steps of performing the abnormal operation status alarm feedback operation of the target pumping unit according to the abnormal monitoring result of the pumping unit and the combined display data of the oil field site geographical location are as follows:

[0049] S71, combining the abnormal monitoring results of the oil pumping unit with the geographical location of the oil field site to display data The data is transmitted to the oil production monitoring platform through the Internet of Things communication network and displayed on the display screen to output the abnormal operating status monitoring results of the target pumping unit and its geographical location in the oil field. At the same time, an alarm is used to provide alarm prompts.

[0050] An off-grid petroleum equipment intelligent monitoring system, used to implement the off-grid petroleum equipment intelligent monitoring method, the system includes a target pumping unit monitoring position search module, a target pumping unit operating status monitoring module, and a target pumping unit abnormal operating status alarm module;

[0051] The target pumping unit monitoring position search module includes a target pumping unit identification information collection unit, an oilfield pumping unit object space coordinate information storage unit, a target pumping unit position search unit, and a target pumping unit operation monitoring operation execution unit;

[0052] The target pumping unit identification information collection unit collects target pumping unit identification data through the oil production monitoring platform; the oilfield pumping unit object spatial coordinate information storage unit is used to store the oilfield pumping unit object spatial coordinate data; the target pumping unit position search unit performs spatial position coordinate search processing of the oilfield where the target pumping unit object is located based on the target pumping unit identification data and the oilfield pumping unit object spatial coordinate data to generate the target pumping unit spatial coordinate data; the target pumping unit operation monitoring operation execution unit executes the target pumping unit operation status monitoring operation based on the target pumping unit spatial coordinate data;

[0053] The target pumping unit operation status monitoring module includes a target pumping unit mechanism appearance image acquisition unit, a target pumping unit mechanism operation physical information acquisition unit, a pumping unit mechanism fault appearance image storage unit, a target pumping unit mechanism appearance abnormal state analysis unit, a pumping unit mechanism operation fault physical parameter storage unit, a target pumping unit mechanism operation abnormal physical state recognition unit, and a target pumping unit operation status evaluation unit;

[0054] The target pumping unit mechanism appearance image acquisition unit acquires the target pumping unit mechanism appearance image data through a cloud camera mounted on an unmanned aerial vehicle; the target pumping unit mechanism operation physical information acquisition unit acquires the target pumping unit mechanism operation state physical data through a state measurement sensor; the pumping unit mechanism fault appearance image storage unit is used to store the pumping unit mechanism fault appearance image data; the target pumping unit mechanism appearance abnormal state analysis unit performs mechanism appearance abnormal state analysis processing on the target pumping unit according to the target pumping unit mechanism appearance image data and the pumping unit mechanism fault appearance image data, and generates target pumping unit mechanism appearance abnormality analysis data; the pumping unit mechanism The operation fault physical parameter storage unit is used to store the physical data of the operation fault state of the oil pumping unit mechanism; the target oil pumping unit mechanism operation abnormal physical state identification unit performs the target oil pumping unit mechanism operation abnormal physical state identification processing based on the target oil pumping unit mechanism operation state physical data and the oil pumping unit mechanism operation fault state physical data, and generates the target oil pumping unit mechanism operation abnormal physical state identification data; the target oil pumping unit operation state evaluation unit performs the target oil pumping unit operation state analysis processing based on the target oil pumping unit mechanism operation abnormal physical state identification data and the target oil pumping unit mechanism appearance abnormality analysis data, and constructs the target oil pumping unit operation state judgment data;

[0055] The target pumping unit abnormal operation state alarm module includes a pumping unit abnormal operation state monitoring result generation unit, an oilfield pumping unit object location and oilfield entity model combination information storage unit, an abnormal state pumping unit oilfield site geographical location matching unit, and a target pumping unit abnormal operation state alarm feedback unit;

[0056] The abnormal operation status monitoring result generating unit of the oil pumping unit is used to construct the abnormal operation status monitoring data of the target oil pumping unit; the oilfield oil pumping unit object position and oilfield entity model combination information storage unit is used to store the oilfield oil pumping unit object position and oilfield entity model combination data; the abnormal state oil pumping unit oilfield site geographical location matching unit matches the target oil pumping unit abnormal operation monitoring information with the oilfield geographical location according to the abnormal operation status monitoring data of the target oil pumping unit and the oilfield oil pumping unit object position and oilfield entity model combination data, and generates the combination display data of the oil pumping unit abnormal monitoring result and the oilfield site geographical location; the target oil pumping unit abnormal operation status alarm feedback unit performs the target oil pumping unit abnormal operation status alarm feedback operation according to the combination display data of the oil pumping unit abnormal monitoring result and the oilfield site geographical location.

[0057] (III) Beneficial effects

[0058] The present invention provides an off-grid petroleum equipment intelligent monitoring system and method. It has the following beneficial effects:

[0059] 1. Through the target pumping unit identification information collection unit, the oil production monitoring platform is used to accurately obtain the target pumping unit's identity identification information, providing reliable data support for accurately positioning the spatial position of the target pumping unit in the oil field; the target pumping unit position search unit combines the target pumping unit's identity identification parameters with the intelligent search algorithm and the standard preset oil field pumping unit object spatial coordinate parameters to autonomously and scientifically locate the spatial position of the oil field where the target pumping unit object is located, thereby achieving efficient and accurate positioning of the oil field pumping unit monitoring object; the target pumping unit operation monitoring operation execution unit, based on the cloud camera carried by the drone and according to the target pumping unit's spatial coordinate parameters, autonomously and accurately executes the target pumping unit operation status monitoring operation, thereby improving the efficiency and authenticity of the oil field target pumping unit operation status monitoring.

[0060] 2. Through the cooperation between the target pumping unit mechanism appearance image acquisition unit and the target pumping unit mechanism operation physical information acquisition unit, the cloud camera and state measurement sensor carried by the drone are used to dynamically and efficiently acquire the appearance image parameters and operation state physical parameters of the target pumping unit mechanism, so as to provide data support for the subsequent intelligent evaluation of the appearance fault and operation state fault of the target pumping unit mechanism; the target pumping unit mechanism appearance abnormal state analysis unit combines the target pumping unit mechanism appearance image parameters with the intelligent search algorithm and the scientifically preset pumping unit mechanism fault appearance image parameters to perform intelligent analysis of the target pumping unit mechanism appearance abnormal state, so as to realize reliable and true analysis of the appearance state of each mechanism of the target pumping unit; The target pumping unit mechanism abnormal operation physical state identification unit scientifically analyzes the target pumping unit mechanism abnormal operation physical state based on numerical analysis by comparing the target pumping unit mechanism operation state physical parameters with the pumping unit mechanism operation fault state physical parameters based on big data storage, thereby realizing a refined and comprehensive analysis of the abnormal operation states of each mechanism of the target pumping unit; the target pumping unit operation state evaluation unit realizes a scientific, comprehensive and accurate analysis of the operation state of the target pumping unit in the oil field based on the target pumping unit mechanism operation abnormal state identification results and the target pumping unit mechanism appearance abnormality analysis results, thereby improving the authenticity and reliability of the oilfield pumping unit operation state monitoring results and increasing the service life of the oil pumping unit.

[0061] 3. Through the abnormal operation status monitoring result generation unit of the oil pumping unit, the abnormal operation status monitoring parameters of the target oil pumping unit are comprehensively constructed based on the identity information of the oil pumping unit, the oil field spatial position coordinates of the oil pumping unit, the appearance abnormality analysis results of the oil pumping unit mechanism, the operation status analysis results of the oil pumping unit mechanism and the operation status analysis results of the oil pumping unit, so as to realize the efficient and accurate collection of the operation status monitoring parameters of the oil pumping unit; the abnormal state oil pumping unit oil field site geographical location matching unit, based on the abnormal operation status monitoring parameters of the target oil pumping unit and the oil field oil pumping unit object position and the oil field entity model combination parameters, the abnormal operation monitoring information of the target oil pumping unit is autonomously and efficiently matched with the oil field geographical location, and the combination display parameters of the abnormal operation monitoring results of the oil pumping unit and the oil field geographical location are accurately constructed; the abnormal operation status alarm feedback unit of the target oil pumping unit, according to the combination display parameters of the abnormal monitoring results of the oil pumping unit and the oil field geographical location, cooperates with the display screen to intuitively display the abnormal operation monitoring results of the oil pumping unit in the real scene of the oil field, and cooperates with the alarm to efficiently and accurately perform alarm prompt operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 A schematic diagram of a module of an off-grid petroleum equipment intelligent monitoring system provided by the present invention;

[0063] Figure 2 The present invention provides a flow chart of an off-grid petroleum equipment intelligent monitoring method. DETAILED DESCRIPTION

[0064] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0065] The embodiments of the off-grid petroleum equipment intelligent monitoring system and method are as follows:

[0066] Example 1

[0067] See also Figure 1 - Figure 2 , an off-grid petroleum equipment intelligent monitoring method, the method comprising the following steps:

[0068] S1, collecting identification data of target oil pumping unit;

[0069] S2, performing a spatial position coordinate search process of the oil field where the target oil pumping unit object is located based on the target oil pumping unit identification data and the oil field oil pumping unit object spatial coordinate data, generating the target oil pumping unit spatial coordinate data and performing the target oil pumping unit operation status monitoring operation;

[0070] S3, collecting appearance image data of the target pumping unit mechanism and physical data of the target pumping unit mechanism operation status;

[0071] S4, performing an analysis process on the abnormal state of the target pumping unit's mechanism appearance according to the target pumping unit mechanism appearance image data and the pumping unit mechanism fault appearance image data, and generating target pumping unit mechanism appearance abnormality analysis data;

[0072] S5, based on the physical data of the target pumping unit mechanism operation state and the physical data of the pumping unit mechanism operation fault state, the target pumping unit mechanism operation abnormal physical state recognition data is generated, and the target pumping unit mechanism operation abnormal physical state recognition data is combined with the target pumping unit mechanism appearance abnormality analysis data to perform target pumping unit operation state analysis and construct target pumping unit operation state judgment data; when it is normal, the target pumping unit operation state monitoring operation is directly terminated;

[0073] S6. When it is abnormal, the abnormal operation status monitoring data of the target pumping unit is constructed and matched with the target pumping unit abnormal operation monitoring information and the oilfield geographical location data of the oilfield pumping unit object location and the oilfield entity model combination data to generate the combined display data of the pumping unit abnormal monitoring result and the oilfield on-site geographical location;

[0074] S7. Perform abnormal operation status alarm feedback operation of the target pumping unit based on the abnormal monitoring results of the pumping unit and the combined display data of the geographical location of the oil field site.

[0075] For further information, see Figure 1 - Figure 2 ,The steps for collecting target pumping unit identification data are as follows:

[0076] S11. Collect the identity feature text information of the oil field pumping unit to be monitored online through the oil production monitoring platform and generate the target pumping unit identity recognition data ,The target pumping unit identification data includes the equipment identification number, ,equipment specification model, equipment name and equipment manufacturer of the target ,pumping unit in the oil field.

[0077] The operation steps of searching and processing the spatial position coordinates of the oil field where the target pumping unit object is located based on the target pumping unit identification data and the oil field pumping unit object spatial coordinate data, generating the target pumping unit spatial coordinate data and performing the target pumping unit operation status monitoring operation are as follows:

[0078] S21. Establishing the spatial coordinate data set of the oilfield pumping unit object , ;in Indicates oil field The spatial coordinate data of the oilfield pumping unit object corresponding to the pumping unit identification object, Indicates the maximum number of pumping unit identification objects, the oilfield pumping unit object spatial coordinate data includes the longitude, latitude and altitude of the oilfield pumping unit;

[0079] S22, using the KD tree nearest neighbor search algorithm to identify the target pumping unit Spatial coordinate data collection of oilfield pumping unit objects Spatial coordinate data of oil field pumping unit objects Perform keyword matching on the pumping unit’s identification features to search for the target pumping unit’s identification data Corresponding oil field pumping unit object spatial coordinate data , and construct the spatial coordinate data of the target pumping unit ,The spatial coordinate data of the target pumping unit includes the longitude, latitude and altitude of the target pumping unit;

[0080] S23, using the cloud camera mounted on the drone to obtain the spatial coordinate data of the target pumping unit The corresponding spatial coordinate information flies to the target pumping unit position in the oil field and performs the target pumping unit operation status monitoring operation.

[0081] Through the target pumping unit identification information collection unit, the oil production monitoring platform is used to accurately obtain the target pumping unit's identity identification information, providing reliable data support for accurately positioning the spatial position of the target pumping unit in the oil field; the target pumping unit position search unit combines the target pumping unit identity identification parameters with the intelligent search algorithm and the standard preset oilfield pumping unit object spatial coordinate parameters to autonomously and scientifically locate the spatial position of the oil field where the target pumping unit object is located, thereby achieving efficient and accurate positioning of the oilfield pumping unit monitoring object; the target pumping unit operation monitoring operation execution unit, based on the cloud lens carried by the drone and according to the target pumping unit's spatial coordinate parameters, autonomously and accurately executes the target pumping unit operation status monitoring operation, thereby improving the efficiency and authenticity of the oilfield target pumping unit operation status monitoring.

[0082] For further information, see Figure 1 - Figure 2 The operation steps for collecting the appearance image data of the target pumping unit mechanism and the physical data of the target pumping unit mechanism operation status are as follows:

[0083] S31. During the operation of monitoring the target pumping unit's operating status, a cloud camera mounted on a drone is used to collect online appearance image data of each mechanical operating mechanism object of the target pumping unit, and a target pumping unit mechanism appearance image data set is generated. , ;in Indicates The target pumping unit mechanism appearance image data corresponding to the target pumping unit mechanism object, Indicates the maximum number of target pumping unit mechanism objects, which include power unit mechanism, reducer mechanism, four-bar mechanism, donkey head mechanism and suspension rope assembly mechanism;

[0084] The physical parameters of the operating state of each mechanical operating mechanism object of the target pumping unit are collected online through the state measurement sensor installed on the surface of the target pumping unit mechanism object, and a physical data set of the operating state of the target pumping unit mechanism is generated. ,in Indicates The target pumping unit mechanism object corresponds to the target pumping unit mechanism operating status physical data, the target pumping unit mechanism operating status physical data includes the working temperature data, working pressure data, working flow data, working power data, working speed data and working noise data of the target pumping unit mechanism object, and the state measurement sensors include temperature sensors, pressure sensors, flow sensors, power sensors, speed sensors and noise sensors.

[0085] The operation steps of analyzing and processing the abnormal state of the target pumping unit's mechanism appearance according to the target pumping unit's mechanism appearance image data and the pumping unit's mechanism fault appearance image data and generating the target pumping unit's mechanism appearance abnormality analysis data are as follows:

[0086] S41. Establishing a data set of pumping unit mechanism fault appearance images , ;in Indicates The pumping unit mechanism fault appearance image data corresponding to the pumping unit mechanism fault type, Indicates the maximum value of the number of pumping unit mechanism fault types, where the pumping unit mechanism fault types include cracks, dents, deformations, rust and fractures that appear on the appearance of mechanical parts in the pumping unit mechanism; the pumping unit mechanism fault appearance image data indicates the appearance image data corresponding to different mechanical parts fault types in the pumping unit mechanism;

[0087] S42, collecting the target pumping unit mechanism appearance image data set Appearance image data of the target pumping unit mechanism Pumping unit fault appearance image data set Image data of the appearance of the pumping unit failure According to the target pumping unit mechanism object number, the mechanism appearance image feature matching is carried out in order, and the target pumping unit mechanism appearance abnormality analysis data set is generated based on the mechanism appearance image feature matching results. , execute and generate the target pumping unit mechanism appearance abnormality analysis data set The specific steps are as follows:

[0088] S421, initialization, in the pumping unit mechanism fault appearance image data set Randomly update the position of the Tasmanian badger population for mechanism fault identification in the search space and set the maximum number of iterations of the algorithm T. The update formula for the position of the Tasmanian badger for mechanism fault identification is as follows: ,in Indicator failure to identify Tasmanian devil individuals exist The position of the dimensional search space, i.e., the mechanism failure to identify the Tasmanian devil individual In the spatial dimension A dataset of pumping unit fault appearance images The location of the search space, , Respectively represent the pumping unit mechanism fault appearance image data set The lower and upper boundaries of the search space, Represents a random number in the interval [0,1];

[0089] S422, exploration stage, mechanism fault identification, Tasmanian devil tendency in the pumping unit mechanism fault appearance image data set Searching for pumping unit mechanism fault appearance image data in search space Feeding on carrion, identifying faults in the mechanism of Tasmanian devils in the image dataset of pumping unit fault appearance Scanning habitat areas in search space to identify pumping unit mechanism fault appearance image data Carrion, Mechanism Fault Identification The behavior of Tasmanian devils scanning habitat areas is similar to the algorithmic search process in the problem-solving space, that is, the mechanism fault identification Tasmanian devil individuals in the pumping unit mechanism fault appearance image data set Search the search space to find the image data of the appearance of the target pumping unit mechanism Matching pumping unit mechanism fault appearance image data ; Mechanism fault identification The behavior simulation formula of the Tasmanian devil identifying the selected carrion is as follows: ,in Indicator failure to identify Tasmanian devil individuals In the collection of pumping unit mechanism fault appearance image data Search the search space for the position of the selected target carrion, Represents the image data set of the appearance of the mechanism fault of the individual Tasmanian devil pumping unit Select target carrion in the search space location, ,in Indicator failure to identify Tasmanian devil individuals The maximum number of carrion to search;

[0090] Based on the selected target carrion, the Tasmanian devil is identified in the pumping unit mechanism fault appearance image dataset The new position in the search space is calculated, and the formula for calculating the new position of the Tasmanian devil for mechanism fault identification is as follows: ,in Indicator failure to identify Tasmanian devil individuals In the collection of pumping unit mechanism fault appearance image data The position before the update in the search space; Indicator failure to identify Tasmanian devil individuals In the collection of pumping unit mechanism fault appearance image data The updated position in the search space; and They represent the appearance image data set of the pumping unit fault Mechanism failure in the search space identifies carrion quality parameters of the Tasmanian devil individual’s position coordinates before and after position update;

[0091] S423, Development stage, mechanism fault identification The development stage of the Tasmanian devil is to hunt prey. The behavior of the Tasmanian devil in the process of attacking prey has two stages. In the first stage, the mechanism fault identification Tasmanian devil scans the appearance image data set of the pumping unit mechanism fault. Search and attack the target pumping unit appearance image data in the search space Matching pumping unit mechanism fault appearance image data prey; in the second stage, the mechanism fault recognition Tasmanian devil in the pumping unit mechanism fault appearance image data set Appearance image data of the pumping unit close to the target in the search space Matching pumping unit mechanism fault appearance image data After the prey, the mechanism fault identification of the Tasmanian devil chasing the target pumping unit mechanism appearance image data Matching pumping unit mechanism fault appearance image data Prey and prey on the appearance image data of the pumping unit mechanism failure Prey; Mechanism failure identification The behavior simulation formula of the Tasmanian devil identifying the selected prey is as follows: ,in Indicator failure to identify Tasmanian devil individuals In the collection of pumping unit mechanism fault appearance image data Search the selected target pumping unit mechanism fault appearance image data in the search space The location of the prey, Represents the image dataset of the appearance of the mechanism fault of the Tasmanian devil individual in the pumping unit mechanism fault The target pumping unit mechanism fault appearance image data selected in the search space prey location, ,in Failure of institutions to identify individual Tasmanian devils The maximum number of prey to search;

[0092] Based on the selected target pumping unit mechanism fault appearance image data Prey, Mechanism Fault Recognition Tasmanian Devil in Pumping Unit Mechanism Fault Appearance Image Data Collection The new position in the search space is calculated, and the formula for calculating the new position of the Tasmanian devil for mechanism fault identification is as follows: ,in Indicator failure to identify Tasmanian devil individuals In the collection of pumping unit mechanism fault appearance image data The position before the update in the search space; Indicator failure to identify Tasmanian devil individuals In the collection of pumping unit mechanism fault appearance image data The updated position in the search space; and They represent the appearance image data set of the pumping unit fault Mechanism failure in the search space identifies the prey quality parameters of the position coordinates of Tasmanian devil individuals before and after position update;

[0093] S424: When the algorithm meets the maximum number of iterations, the target pumping unit appearance image data is output. Image data of pumping unit failure appearance The image feature matching results of the mechanism appearance;

[0094] S425, based on the target pumping unit mechanism appearance image data output in step S424 Image data of pumping unit failure appearance The image feature matching results of the mechanism appearance are used to generate the target pumping unit mechanism appearance abnormality analysis data set ,in express Target pumping unit mechanism appearance abnormality analysis data corresponding to a target pumping unit mechanism object;

[0095] when and The image feature matching of the mechanism appearance is successful, indicating The target pumping unit mechanism object exists If there is a type of pumping unit failure, the target pumping unit appearance abnormality analysis data will be output. Abnormal and synchronous output The target pumping unit mechanism object exists Types of pumping unit failures;

[0096] when and The image features of the appearance of the organization were not matched successfully, indicating If the target pumping unit mechanism object does not have the pumping unit mechanism fault type, the target pumping unit mechanism appearance abnormality analysis data is output. is normal.

[0097] Based on the physical data of the target pumping unit mechanism operation state and the physical data of the pumping unit mechanism operation fault state, the target pumping unit mechanism operation abnormal physical state recognition processing is performed to generate the target pumping unit mechanism operation abnormal physical state recognition data and the target pumping unit mechanism appearance abnormality analysis data is combined to perform the target pumping unit operation state analysis processing to construct the target pumping unit operation state judgment data; when it is normal, the operation steps of directly ending the target pumping unit operation state monitoring operation are as follows:

[0098] S51. Establishing a physical data set of the pumping unit mechanism operation fault status , ;in Indicates The physical data set of the pumping unit mechanism operation fault status corresponding to each pumping unit mechanism object, Indicates The first The physical data of the pumping unit mechanism operation fault state corresponding to the physical parameter type of the pumping unit mechanism operation state, Indicates the maximum value of the number of types of physical parameters of the operating state of the oil pumping mechanism, where the physical data of the operating fault state of the oil pumping mechanism includes the operating fault temperature data interval, the operating fault pressure data interval, the operating fault flow data interval, the operating fault power data interval, the operating fault speed data interval and the operating fault noise interval of the target oil pumping mechanism object;

[0099] S52, using a breadth-first search algorithm to collect the physical data set of the target pumping unit mechanism operating status Physical data of the target pumping unit operating status Physical data collection of pumping unit mechanism operation fault status Physical data of the fault status of the pumping unit mechanism According to the target pumping unit mechanism object number and the pumping unit mechanism operation state physical parameter type number, the operation state physical parameter value matching of the pumping unit mechanism is carried out in order, and the target pumping unit mechanism operation abnormal physical state identification data set is generated according to the operation state physical parameter value matching result of the pumping unit mechanism ,in Indicates The target pumping unit mechanism object corresponds to the target pumping unit mechanism operation abnormal physical state identification data set, Indicates The target pumping unit identification data of abnormal physical state of target pumping unit mechanism operation corresponding to the physical parameter type of pumping unit mechanism operation state;

[0100] when and The physical parameter value matching of the pumping unit's operating status is successful, indicating that The target pumping unit If there is a fault in the physical parameter type of the pumping unit mechanism operation status, the target pumping unit mechanism operation abnormal physical status identification data is output. Abnormal and synchronous output The target pumping unit There is a fault in the physical parameter type of the pumping unit mechanism operation status;

[0101] when and The physical parameter values ​​of the pumping unit's operating status have not been matched successfully, indicating The target pumping unit If there is no fault in the physical parameter type of the pumping unit mechanism operation status, the target pumping unit mechanism operation abnormal physical status identification data is output. is normal;

[0102] S53, analyzing data set based on abnormal appearance of target pumping unit mechanism Analysis data of abnormal appearance of medium-target pumping unit mechanism and target pumping unit mechanism abnormal physical state identification data set Abnormal physical state identification data of target pumping unit mechanism Analyze and process the target pumping unit's operating status and construct the target pumping unit's operating status judgment data ;

[0103] when and If all are normal, it means that there is no operating fault in the target pumping unit mechanism, then the target pumping unit operating status judgment data is output. If the result is normal, the target pumping unit operation status monitoring operation is terminated directly;

[0104] when and If there is an abnormality in the target pumping unit, it means that there is an operating fault in the target pumping unit mechanism, then the target pumping unit operating status judgment data is output. is abnormal.

[0105] Through the cooperation between the target pumping unit mechanism appearance image acquisition unit and the target pumping unit mechanism operation physical information acquisition unit, the cloud camera and state measurement sensor carried by the drone are used to dynamically and efficiently acquire the appearance image parameters and operation state physical parameters of the target pumping unit mechanism, providing data support for the subsequent intelligent evaluation of the appearance fault and operation state fault of the target pumping unit mechanism; the target pumping unit mechanism appearance abnormal state analysis unit combines the target pumping unit mechanism appearance image parameters with the intelligent search algorithm and the scientifically preset pumping unit mechanism fault appearance image parameters to perform intelligent analysis of the target pumping unit mechanism appearance abnormal state, so as to realize reliable and true analysis of the appearance state of each mechanism of the target pumping unit; The target pumping unit mechanism abnormal operation physical state identification unit, based on numerical analysis, combines the target pumping unit mechanism operation state physical parameters with the pumping unit mechanism operation fault state physical parameters based on big data storage to conduct scientific analysis of the target pumping unit mechanism abnormal operation physical state, thereby realizing refined and comprehensive analysis of the abnormal operation states of each mechanism of the target pumping unit; the target pumping unit operation state evaluation unit, based on the target pumping unit mechanism operation abnormal state identification results and the target pumping unit mechanism appearance abnormality analysis results, realizes scientific, comprehensive and accurate analysis of the operation state of the target pumping unit in the oil field, thereby improving the authenticity and reliability of the oilfield pumping unit operation state monitoring results and increasing the service life of the oil pumping unit.

[0106] For further information, see Figure 1 - Figure 2 When it is abnormal, the abnormal operation status monitoring data of the target pumping unit is constructed and the abnormal operation monitoring information of the target pumping unit is matched with the oilfield pumping unit object location and the oilfield entity model combination data to generate the combined display data of the abnormal monitoring results of the pumping unit and the oilfield on-site geographical location as follows:

[0107] S61, when the target pumping unit operation status judgment data When it is abnormal, the target pumping unit identification data , Target pumping unit spatial coordinate data , target pumping unit mechanism appearance abnormality analysis data set , target pumping unit mechanism abnormal physical state identification data set and target pumping unit operating status judgment data Combine data to construct abnormal operation status monitoring data of target pumping unit ;

[0108] S62. Establishing oilfield pumping unit object location and oilfield entity model combination data , the combined data of the oilfield pumping unit object position and the oilfield entity model represents the combined data generated by matching the spatial position coordinates of all the pumping unit objects distributed in the oilfield with the three-dimensional entity model of the oilfield;

[0109] S63, abnormal operation status monitoring data of the target pumping unit Combined data with the oilfield pumping unit object location and oilfield entity model According to the matching of spatial coordinate values, the abnormal monitoring results of the pumping unit and the combined display data of the geographical location of the oil field are generated. .

[0110] The operation steps of performing the abnormal operation status alarm feedback operation of the target pumping unit based on the abnormal monitoring results of the pumping unit and the combined display data of the geographical location of the oil field are as follows:

[0111] S71. Combine the abnormal monitoring results of the pumping unit with the geographical location of the oil field to display the data The data is transmitted to the oil production monitoring platform through the Internet of Things communication network and displayed on the display screen to output the abnormal operating status monitoring results of the target pumping unit and its geographical location in the oil field. At the same time, an alarm is used to provide alarm prompts.

[0112] Through the abnormal operation status monitoring result generation unit of the oil pumping unit, the abnormal operation status monitoring parameters of the target oil pumping unit are comprehensively constructed based on the identity information of the oil pumping unit, the oil field spatial position coordinates of the oil pumping unit, the appearance abnormality analysis results of the oil pumping unit mechanism, the operation status analysis results of the oil pumping unit mechanism and the operation status analysis results of the oil pumping unit, so as to realize the efficient and accurate collection of the operation status monitoring parameters of the oil pumping unit; the abnormal state oil pumping unit oil field site geographical location matching unit, based on the abnormal operation status monitoring parameters of the target oil pumping unit and the oil field oil pumping unit object position and the oil field entity model combination parameters, autonomously and efficiently matches the abnormal operation monitoring information of the target oil pumping unit with the oil field geographical location, and accurately constructs the combination display parameters of the abnormal operation monitoring results of the oil pumping unit and the oil field geographical location; the abnormal operation status alarm feedback unit of the target oil pumping unit, according to the combination display parameters of the abnormal monitoring results of the oil pumping unit and the oil field geographical location, cooperates with the display screen to intuitively display the abnormal operation monitoring results of the oil pumping unit in the real scene of the oil field, and cooperates with the alarm to efficiently and accurately perform alarm prompt operations.

[0113] Embodiment 2:

[0114] See also Figure 1 - Figure 2 , an off-grid petroleum equipment intelligent monitoring system, used to implement an off-grid petroleum equipment intelligent monitoring method, the system includes a target pumping unit monitoring position search module, a target pumping unit operating status monitoring module, and a target pumping unit abnormal operating status alarm module;

[0115] The target pumping unit monitoring position search module includes a target pumping unit identification information collection unit, an oilfield pumping unit object space coordinate information storage unit, a target pumping unit position search unit, and a target pumping unit operation monitoring operation execution unit;

[0116] The target pumping unit identification information collection unit collects the target pumping unit identification data through the oil production monitoring platform; the oilfield pumping unit object spatial coordinate information storage unit is used to store the oilfield pumping unit object spatial coordinate data; the target pumping unit position search unit performs spatial position coordinate search processing of the oilfield where the target pumping unit object is located based on the target pumping unit identification data and the oilfield pumping unit object spatial coordinate data to generate the target pumping unit spatial coordinate data; the target pumping unit operation monitoring operation execution unit performs the target pumping unit operation status monitoring operation based on the target pumping unit spatial coordinate data;

[0117] The target pumping unit operation status monitoring module includes a target pumping unit mechanism appearance image acquisition unit, a target pumping unit mechanism operation physical information acquisition unit, a pumping unit mechanism fault appearance image storage unit, a target pumping unit mechanism appearance abnormal state analysis unit, a pumping unit mechanism operation fault physical parameter storage unit, a target pumping unit mechanism operation abnormal physical state recognition unit, and a target pumping unit operation status evaluation unit;

[0118] The target pumping unit mechanism appearance image acquisition unit collects the target pumping unit mechanism appearance image data through the cloud camera carried by the drone; the target pumping unit mechanism operation physical information acquisition unit collects the target pumping unit mechanism operation state physical data through the state measurement sensor; the pumping unit mechanism fault appearance image storage unit is used to store the pumping unit mechanism fault appearance image data; the target pumping unit mechanism appearance abnormal state analysis unit performs the target pumping unit mechanism appearance abnormal state analysis and processing according to the target pumping unit mechanism appearance image data and the pumping unit mechanism fault appearance image data, and generates the target pumping unit mechanism appearance abnormality analysis data; the pumping unit mechanism operation A fault physical parameter storage unit is used to store the physical data of the pumping unit mechanism operation fault state; a target pumping unit mechanism operation abnormal physical state identification unit performs mechanism operation abnormal physical state identification processing of the target pumping unit based on the target pumping unit mechanism operation state physical data and the pumping unit mechanism operation fault state physical data, and generates target pumping unit mechanism operation abnormal physical state identification data; a target pumping unit operation state evaluation unit performs target pumping unit operation state analysis processing based on the target pumping unit mechanism operation abnormal physical state identification data and target pumping unit mechanism appearance abnormality analysis data, and constructs target pumping unit operation state judgment data;

[0119] The target pumping unit abnormal operation state alarm module includes a pumping unit abnormal operation state monitoring result generation unit, an oilfield pumping unit object location and oilfield entity model combination information storage unit, an abnormal state pumping unit oilfield site geographical location matching unit, and a target pumping unit abnormal operation state alarm feedback unit;

[0120] The abnormal operation status monitoring result generating unit of the oil pumping unit is used to construct the abnormal operation status monitoring data of the target oil pumping unit; the oil field oil pumping unit object position and oil field entity model combination information storage unit is used to store the oil field oil pumping unit object position and oil field entity model combination data; the abnormal state oil pumping unit oil field site geographical location matching unit matches the target oil pumping unit abnormal operation monitoring information with the oil field geographical location based on the abnormal operation status monitoring data of the target oil pumping unit and the oil field oil pumping unit object position and oil field entity model combination data, and generates the oil pumping unit abnormal monitoring result and the oil field site geographical location combination display data; the target oil pumping unit abnormal operation status alarm feedback unit performs the target oil pumping unit abnormal operation status alarm feedback operation based on the oil pumping unit abnormal monitoring result and the oil field site geographical location combination display data.

[0121] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An off-grid petroleum equipment intelligent monitoring method, characterized in that: The method comprises the following steps: S1, collecting target pumping unit identification data, said S1 comprises the following steps: S11. Collect the identity feature text information of the oil field pumping unit to be monitored online through the oil production monitoring platform and generate the target pumping unit identity recognition data ; S2, performing a spatial position coordinate search process of the oil field where the target oil pumping unit object is located based on the target oil pumping unit identification data and the oil field oil pumping unit object spatial coordinate data, generating the target oil pumping unit spatial coordinate data and performing the target oil pumping unit operation status monitoring operation, wherein S2 includes the following steps: S21. Establishing the spatial coordinate data set of the oilfield pumping unit object , ;in Indicates oil field The spatial coordinate data of the oilfield pumping unit object corresponding to the pumping unit identification object, Indicates the maximum number of pumping unit identification objects; S22, using the KD tree nearest neighbor search algorithm to With the As stated in Perform keyword matching of the pumping unit’s identification features and search for The corresponding , and construct the spatial coordinate data of the target pumping unit ; S23, using a drone equipped with a cloud camera according to the The corresponding spatial coordinate information flies to the target pumping unit position in the oil field and performs the target pumping unit operation status monitoring operation; S3, collecting the appearance image data of the target pumping unit mechanism and the physical data of the target pumping unit mechanism operation status, said S3 comprises the following steps: S31. During the operation of monitoring the target pumping unit's operating status, a cloud camera mounted on a drone is used to collect online appearance image data of each mechanical operating mechanism object of the target pumping unit, and a target pumping unit mechanism appearance image data set is generated. , ;in Indicates The target pumping unit mechanism appearance image data corresponding to the target pumping unit mechanism object, Indicates the maximum number of target pumping unit mechanism objects; The physical parameters of the operating state of each mechanical operating mechanism object of the target pumping unit are collected online through the state measurement sensor installed on the surface of the target pumping unit mechanism object, and a physical data set of the operating state of the target pumping unit mechanism is generated. ,in Indicates The target pumping unit mechanism operation status physical data corresponding to the target pumping unit mechanism object; S4, performing an analysis process on the abnormal state of the target pumping unit's mechanism appearance according to the target pumping unit mechanism appearance image data and the pumping unit mechanism fault appearance image data, and generating target pumping unit mechanism appearance abnormality analysis data, wherein S4 comprises the following steps: S41. Establishing a data set of pumping unit mechanism fault appearance images , ;in Indicates The pumping unit mechanism fault appearance image data corresponding to the pumping unit mechanism fault type, Indicates the maximum number of pumping unit mechanism fault types; S42, the As stated in With the As stated in According to the target pumping unit mechanism object number, the mechanism appearance image feature matching is carried out in order, and the target pumping unit mechanism appearance abnormality analysis data set is generated based on the mechanism appearance image feature matching results. , execute and generate the target pumping unit mechanism appearance abnormality analysis data set The specific steps are as follows: S421, initialization, in the Randomly update the location of the Tasmanian badger population in the search space of the mechanism failure identification and set the maximum number of iterations of the algorithm T; S422, exploration phase, mechanism failure identification Tasmanian devil tendency in the above Search the search space for the Carrion-eating, agency fails to identify Tasmanian devils in The search space scans habitat areas to identify the Carrion, the behavior of Tasmanian devils scanning habitat areas is similar to the algorithmic search process in the problem space, that is, the Tasmanian devil individuals are in the Search the search space for Matching the , based on the selected target carrion, the mechanism failed to identify the Tasmanian devil in the The new position in the search space of is calculated; S423, development stage, the development stage of the mechanism fault identification Tasmanian devil is to hunt prey. The mechanism fault identification Tasmanian devil's behavior in the process of attacking prey has two stages. In the first stage, the mechanism fault identification Tasmanian devil scans the Search and attack the search space Matching the prey; in the second stage, the mechanism failed to identify the Tasmanian devil in the The search space is close to Matching the After prey, agency fails to identify Tasmanian devil chasing after Matching the Prey and prey on the Prey; based on the selected target Prey, agency failure to identify Tasmanian devils in the The new position in the search space of is calculated; S424, when the algorithm meets the maximum number of iterations, the output is With the The image feature matching results of the mechanism appearance; S425, according to the output in step S424 With the The image feature matching results of the mechanism appearance are used to generate the target pumping unit mechanism appearance abnormality analysis data set ,in express Target pumping unit mechanism appearance abnormality analysis data corresponding to a target pumping unit mechanism object; When the and If the image feature matching of the mechanism appearance is successful, the target pumping unit mechanism appearance abnormality analysis data will be output. Abnormal and synchronous output The target pumping unit mechanism object exists Types of pumping unit failures; When the and If the image features of the mechanism appearance are not matched successfully, the target pumping unit mechanism appearance abnormality analysis data will be output. is normal; S5, based on the physical data of the target pumping unit mechanism operation state and the physical data of the pumping unit mechanism operation fault state, the target pumping unit mechanism operation abnormal physical state identification data is generated, and the target pumping unit mechanism operation abnormal physical state identification data is combined with the target pumping unit mechanism appearance abnormality analysis data to perform target pumping unit operation state analysis processing, and construct target pumping unit operation state judgment data; when it is normal, directly end the target pumping unit operation state monitoring operation, and the S5 includes the following steps: S51. Establishing a physical data set of the pumping unit mechanism operation fault status , ;in Indicates The physical data set of the pumping unit mechanism operation fault status corresponding to each pumping unit mechanism object, Indicates The first The physical data of the pumping unit mechanism operation fault state corresponding to the physical parameter type of the pumping unit mechanism operation state, Indicates the maximum value of the number of physical parameter types of the operating status of the pumping unit mechanism; S52, using a breadth-first search algorithm to As stated in With the As stated in According to the target pumping unit mechanism object number and the pumping unit mechanism operation state physical parameter type number, the operation state physical parameter value matching of the pumping unit mechanism is carried out in order, and the target pumping unit mechanism operation abnormal physical state identification data set is generated according to the operation state physical parameter value matching result of the pumping unit mechanism ,in Indicates The target pumping unit mechanism object corresponds to the target pumping unit mechanism operation abnormal physical state identification data set, Indicates The target pumping unit identification data of abnormal physical state of target pumping unit mechanism operation corresponding to the physical parameter type of pumping unit mechanism operation state; When the and If the physical parameter value matching of the pumping unit mechanism is successful, the target pumping unit mechanism abnormal physical state identification data is output. Abnormal and synchronous output The target pumping unit There is a fault in the physical parameter type of the pumping unit mechanism operation status; When the and If the physical parameter values ​​of the operating state of the pumping unit mechanism are not matched successfully, the target pumping unit mechanism abnormal physical state identification data is output. is normal; S53, according to As stated in and stated As stated in Analyze and process the target pumping unit's operating status and construct the target pumping unit's operating status judgment data ; when and If both are normal, the output target pumping unit operation status judgment data is Normal, the target pumping unit operation status monitoring operation is terminated directly at this time; when and If there is an abnormality in the target pumping unit, the target pumping unit operation status judgment data is output. is abnormal; S6, when it is abnormal, construct the abnormal operation status monitoring data of the target pumping unit and match the abnormal operation monitoring information of the target pumping unit with the oilfield geographical location data of the oilfield pumping unit object location and the oilfield entity model combination data, and generate the combined display data of the abnormal monitoring result of the pumping unit and the oilfield on-site geographical location, said S6 includes the following steps: S61, when the When it is abnormal, , , , and stated Combine data to construct abnormal operation status monitoring data of target pumping unit ; S62. Establishing oilfield pumping unit object location and oilfield entity model combination data ; S63, the With the According to the matching of spatial coordinate values, the abnormal monitoring results of the pumping unit and the combined display data of the geographical location of the oil field are generated. ; S7, performing an alarm feedback operation on the abnormal operation status of the target pumping unit according to the abnormal monitoring result of the pumping unit and the combined display data of the geographical location of the oil field site, wherein S7 includes the following steps: S71, the The data is transmitted to the oil production monitoring platform through the Internet of Things communication network and displayed on the display screen to output the abnormal operating status monitoring results of the target pumping unit and its geographical location in the oil field. At the same time, an alarm is used to provide alarm prompts.

2. An off-grid petroleum equipment intelligent monitoring system, used to implement an off-grid petroleum equipment intelligent monitoring method as claimed in claim 1, characterized in that: The system comprises a target pumping unit monitoring position search module, a target pumping unit operation status monitoring module, and a target pumping unit abnormal operation status alarm module.

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