A. Industrial grade high-performance design: capable of long-term reliable operation in a wide temperature range of -40 ℃ to+80 ℃ and harsh environments such as humidity, salt spray, and dust. B. Excellent anti electromagnetic interference performance: RTU has passed the EMC3 level test of GB/T13729 type test; Excellent resistance to electromagnetic shocks such as lightning. C. New sealing structure design: The equipment shell has excellent water tightness, air tightness, and explosion-proof performance; The unidirectional molecular sieve structure of the transmitter housing can significantly reduce the condensation phenomenon of the transmitter in humid and hot alternating environments; Concealed seal ring structure has excellent anti-aging performance. D. High stability intelligent self calibration design: The transmitter is equipped with a high-precision constant source, and the accuracy stability of the transmitter's AD sampling and conversion is over 10 years; Intelligent self diagnosis and self calibration design ensure that the transmitter can maintain high precision and stability even under complex and harsh working conditions for a long time. E. Data compression transmission technology: a patented algorithm that solves the bottleneck of narrowband wireless data transmission, significantly improves communication efficiency, and reduces construction costs.

1. Intelligent diagnosis, evaluation, and prediction based on artificial intelligence and data mining, easy to use and user-friendly; 2. Capable of achieving automatic continuous measurement of oil well fluid production; 3. The rod pump oil production system adopts an indicator based on electrical parameters, which can achieve accurate detection and calculation of electrical parameters ->suspension point load/power diagram ->pump power diagram, with detection accuracy comparable to existing high-end indicators; 4. It can automatically measure the dynamic and static liquid levels of oil wells in rod pump oil production systems, with measurement accuracy comparable to high-end dynamometers; 5. Capable of monitoring the working conditions of all key equipment from motors to underground systems; 6. By collecting data such as motor current and voltage, and obtaining existing production data, dynamic monitoring of all current oil production system operating conditions, automatic continuous measurement of liquid production volume, and continuous monitoring of dynamic liquid level depth can be achieved through various proprietary patented algorithms and software; 7. All equipment is installed on the ground, and there is no need to install any equipment underground. The installation location is flexible (at any suitable position of the motor power supply line), with simple installation, easy implementation of the plan, and low cost, avoiding the installation difficulties, impact on maintenance operations, and high costs caused by the existing plan of installing sensors and equipment underground; 8. Do not damage or change the original structure of the oil production system, and do not affect the operation of the original system; 9. Support the use of power lines or 4G/5G mobile data communication technology for data transmission; 10. Not only can it monitor the current operating conditions of the oil production system, but it can also predict the future operating conditions of the oil production system.

① Based on the edge layer development of the industrial Internet platform, the embedded development technology is used to move the computing focus from the server side down to the edge side, effectively reduce the server load, significantly improve the availability of dynamometer card diagnosis and measurement, and use a new method and concept to achieve dynamometer card diagnosis and measurement Applying grayscale recognition algorithm for power diagram diagnosis, innovatively proposing power diagram segmentation and comparison, greatly improving the accuracy of power diagram recognition. At the same time, additional conditions are added to the recognized power diagram for calculation. Convolutional neural networks are applied to learn for different working conditions and types of wells, and then the liquid production is calculated. The results of each power diagram are integrated directly, and cross validation can greatly improve the accuracy of the output of the power diagram liquid production results Developed the SaaS application of the edge computing management platform, realized the AI algorithm based on the neural network, and had the ability of independent learning. Through model learning, it was highly replicable, scalable, and adaptive to various geological conditions, permeability, and well types. ④ Through the platform, the edge transmission module and edge computing gateway equipment can have remote maintenance function, effectively reducing routine maintenance work.

With the rapid development of high technology, people are increasingly relying on facilities and equipment such as computers, making command not just about brain decision-making, but more about precise calculations. Therefore, various command systems have emerged. The mobile command system is divided according to the carrying method and equipment scale, mainly including single soldier type, vehicle compartment type, train transport type, early warning aircraft type, satellite and other command systems. At present, the mobile command system mainly consists of military command and emergency command systems. Therefore, in combination with the field command requirements of oil fields, we have designed a vehicle compartment style command system. In the current market, the mobile command system is a command and dispatch system that integrates monitoring, conferencing, and command and dispatch, and is widely used in public security and military applications. Most systems are designed from the perspective of comprehensive management of the entire public security command center, which not only meets the management, monitoring, and office functions of the command and dispatch center; It also reserves interfaces for interaction with the higher-level traffic management system and with the decision support system, facilitating the transmission and statistics of various data, and making it easy to upgrade and expand in the future. Therefore, based on the actual needs of the oilfield environment and mobile command, and combined with the intelligent IoT system of the oilfield, we have designed and developed a mobile command IoT expansion cabin, which can be used in conjunction with current digital and intelligent IoT products and platforms in the oilfield to meet the needs of rapid response to emergency rescue events, mobile command decision-making, on-site disposal, on-site analysis decision-making, etc. It is an internationally leading mobile integrated command and dispatch IoT solution.

EasyCore has the universal plotting function of any core description software, as well as unique display features and beautiful visualization functions. It is suitable for Windows operating systems and tablets, and can save logging data in various digital forms for easy data analysis and sharing.

Edit the manuscript, optimize the images, and add annotations, etc; Convert research results into various formats for sharing; Adapt to any printer; Display the research results in a more detailed manner in the original document.

Based on MS-SQL, integrated with EasyCore, using File Explorer to browse data, supporting backup and recovery functions as well as cloud storage capabilities.

The application of advanced technologies such as complex geological modeling, 3D mesh generation, large-scale modeling, and large-scale model visualization.

1. Fast speed: fast tracking of layers and faults. 2. Leading concept: pioneering the use of mature machine learning models for reservoir description and oil and gas prediction. 3. Mature interfaces with general software: Mature interfaces with DecisionSpace and Perel

The "Web based Contour Mapping" is designed using the B/S framework and developed based on HTML5 web technology. The underlying layer uses the PetroChina A2 database, and users do not need to install any plugins to generate contour maps (in vector format) on the web page,