Underground drilling environment data transmission system based on artificial intelligence

Abstract

The invention discloses an underground drilling environment data transmission system based on artificial intelligence, relates to the technical field of underground data transmission, and solves the technical problems that in the prior art, data cannot be optimized, so that the data transmission intensity is high, pulse signal conversion cannot be performed, and periodic characteristics cannot be presented. Specifically, a transmission data concise processing unit performs data processing on data acquired by a data acquisition front end, takes the data acquired by the data acquisition front end as a data transmission log, performs data concise processing on the data transmission log, takes the model of the data acquisition front end as a data front sequence, and determines the data front sequence; carrying out floating analysis on the collected data of the current data collection front end, and constructing a transmission data chain according to a front sequence, a sequence sub-target and corresponding sequence sub-target data of the collected data; and the data pulse signal conversion unit performs pulse signal conversion on the transmission data chain.

Description

Technical Field

[0001] The present invention relates to the technical field of downhole data transmission, and in particular to a downhole drilling environment data transmission system based on artificial intelligence. Background Art

[0002] The downhole drilling environment data transmission system is a key device used in oil and gas drilling operations to collect various downhole environmental data in real time and transmit these data to the ground control system accurately and quickly; it plays a vital role in ensuring the safety and efficiency of drilling operations.

[0003] However, in the existing technology, it is impossible to perform hardware performance analysis on the acquisition layer when transmitting downhole drilling environment data, nor is it possible to perform multi-type verification acquisition analysis during the acquisition process, and the efficiency and accuracy of the acquisition cannot be guaranteed. In addition, the inability to optimize data results in high data transmission intensity, and the inability to perform pulse signal conversion cannot present periodic characteristics, which reduces the efficiency of data transmission.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to solve the above-mentioned problems and to propose an artificial intelligence-based downhole drilling environment data transmission system.

[0006] The purpose of the present invention can be achieved through the following technical solutions: The downhole drilling environment data transmission system based on artificial intelligence includes an acquisition layer, a transmission layer and a processing layer. The acquisition layer is provided with a hardware performance identification module and a multi-sensor verification module; The hardware performance identification module analyzes and identifies the hardware performance of the downhole drilling data acquisition front end, collects the front end adaptation data and front end adjustment data, and infers whether the hardware performance is qualified based on data analysis; The multi-sensor verification module performs multi-type verification on the data acquisition front end, obtains acquisition target information and acquisition priority information, and infers whether the multi-sensor verification is qualified based on information processing; The transmission layer is provided with a transmission data concise processing unit and a data pulse signal conversion unit; The transmission data concise processing unit processes the data collected by the data collection front end, uses the collected data of the data collection front end as the data transmission log, and performs data concise processing on the data transmission log, uses the data collection front end model as the data front sequence, and after determining the data front sequence, performs floating analysis on the collected data of the current data collection front end, and collects the collected data front sequence, sequence sub-item and data of the corresponding sequence sub-item to build a transmission data chain; The data pulse signal conversion unit performs pulse signal conversion on the transmission data link; The processing layer is provided with a transmission environment interference identification unit and a transmission sequence analysis unit; The transmission environment interference identification unit performs transmission environment interference identification and analysis on the real-time drilling area, collects interference delay data and interference deviation data, and infers whether the transmission environment anti-interference performance is normal based on data analysis; After the anti-interference performance is normal, the transmission sequence analysis unit performs sequence analysis on the pulse signal sequence transmitted in real time.

[0007] As a preferred embodiment of the present invention, the front-end adaptation data and the front-end adjustment data are respectively the deviation value between the real-time collected data volume and the set data volume in the data collection cycle of the data collection front-end under different drilling environments, and the missing amount of the corresponding collected data after the value of the collected data in the non-collection time during the data collection phase of the data collection front-end fluctuates; If the front-end adaptation data exceeds the data volume deviation threshold, or the front-end adjustment data exceeds the data missing volume threshold, an adaptive inefficient signal is generated; if the front-end adaptation data does not exceed the data volume deviation threshold, and the front-end adjustment data exceeds the data missing volume threshold, an adaptive efficient signal is generated.

[0008] As a preferred implementation of the present invention, the collection target information and the collection priority information are respectively the proportion of the collected data volume with associated data in the collected data at the same time during the operation of the data collection front end, and the data volume ratio of the associated data collection volume and the non-associated data collection volume of any data at the same time; If the collection target information exceeds the collection data volume ratio threshold, and the collection priority information exceeds the collection volume ratio threshold, a qualified collection signal is generated; if the collection target information does not exceed the collection data volume ratio threshold, or the collection priority information does not exceed the collection volume ratio threshold, a failed collection signal is generated.

[0009] As a preferred embodiment of the present invention, the floating analysis process is as follows: Get the time span of floating data in the collected data of the current data collection front end, as well as the floating maximum concentration period density of floating data in the collected data: If the time span of the floating data in the collected data of the current data collection front end exceeds the time span threshold, and the floating maximum concentrated time period density of the floating data in the collected data exceeds the maximum concentrated time period density threshold, then the sequence sub-item of the corresponding data collection front end is set as the time period; If the time span of floating data in the collected data of the current data collection front end does not exceed the time span threshold, and the floating maximum concentrated period density of floating data in the collected data does not exceed the maximum concentrated period density threshold, then the sequence sub-item of the corresponding data collection front end is set to moment; and the corresponding type of numerical value collection is performed according to the set sequence sub-item type.

[0010] As a preferred embodiment of the present invention, the process of the data pulse signal conversion unit is as follows: Analyze the current transmission chain, use the data collected in the front sequence as the ordinate, the sequence sub-item as the abscissa, and transform the corresponding collected data of the sequence sub-item. Set the baseline according to the normal range of the collected data at the location, that is, mark the baseline in the coordinate system. If the sequence sub-item is a moment, the baseline is a point, and if the sequence sub-item is a time period, the baseline is a line. During the data collection phase, if the real-time value exceeds the normal range, a full pulse is performed, that is, the baseline rises in the coordinate system, and the rising height is the set height threshold. On the contrary, if the real-time value is lower than the normal range, a reverse full pulse is performed, that is, the baseline drops in the coordinate system at the set height threshold. The floating of the baseline is used as a pulse signal sequence and the pulse signal sequence and the transmission data link are sent to the ground controller terminal.

[0011] As a preferred embodiment of the present invention, the interference delay data and the interference deviation data are respectively the delay duration caused by the fluctuation of the transmission speed of the corresponding pulse signal sequence when the environmental parameters fluctuate during the data transmission stage, and the deviation of the transmission and reception interval time of the transmission data link when the environmental parameters do not fluctuate during the data transmission stage.

[0012] As a preferred embodiment of the present invention, if the interference delay data exceeds the delay duration threshold, or the interference deviation data exceeds the time deviation threshold, an interference identification signal is generated; if the interference delay data does not exceed the delay duration threshold, and the interference deviation data does not exceed the time deviation threshold, an interference-free identification signal is generated.

[0013] As a preferred embodiment of the present invention, the sequence analysis process is as follows: Obtain pulse frequency information and pulse impact information. If the pulse frequency information exceeds the continuous execution frequency peak threshold, or the pulse impact information exceeds the data mean deviation threshold, a construction re-decision signal is generated; if the pulse frequency information does not exceed the continuous execution frequency peak threshold, and the pulse impact information does not exceed the data mean deviation threshold, a construction decision unchanged signal is generated.

[0014] As a preferred embodiment of the present invention, the pulse frequency information and the pulse impact information are respectively the continuous execution frequency peak of the full-amount pulses with the same trend in the real-time received pulse signal sequence, and the deviation between the corresponding mean of the real-time data volume of the vertical coordinate and the corresponding mean of the data volume of the baseline after the full-amount pulses with the same trend in the pulse signal sequence are continuously executed.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. In the present invention, performance analysis is used to identify and infer whether the real-time operating status of the current data acquisition front end when performing downhole environmental data acquisition is qualified, so as to improve the efficiency of downhole drilling environment data acquisition and avoid the decrease in data transmission efficiency caused by abnormal hardware equipment performance, and the inability to accurately collect data; through multi-type verification, it is inferred whether the data collection pertinence of different sensors running at the same time in the current data acquisition stage meets the requirements, so as to avoid the failure to timely collect related data at the same time when different sensors are collecting, resulting in a decrease in the comprehensiveness of data collection.

[0016] 2. In the present invention, the data memory capacity is optimized to improve the data transmission efficiency without affecting the comprehensiveness of data transmission, ensuring that the transmitted data can accurately reflect the construction status of the drilling area, and can make construction decisions based on the transmitted data. At the same time, the data size of the transmitted data is reduced, which can effectively speed up the data transmission efficiency, reduce the occupancy of the data transmission path, and improve the smoothness of all data transmission in the entire drilling area; The transmission data is transmitted to the ground in real time through pulse signal conversion, and the pulse signal sequence can show periodic or non-periodic characteristics on the time axis, which is conducive to improving the efficiency of data transmission.

[0017] 3. In the present invention, the transmission environment interference identification and analysis is performed on the real-time drilling area. The interference identification and analysis are used to infer whether the interference influence on the current data transmission exists. At the same time, the real-time transmission efficiency analysis is used to infer whether the anti-interference performance of the current data transmission is qualified, thereby ensuring the high efficiency of data transmission and improving the data transmission efficiency. The real-time transmitted pulse signal sequence is subjected to sequence analysis. The sequence analysis is used to infer whether the construction feasibility of the current drilling environment is normal. The pulse signal sequence analysis is used to make construction decisions to ensure construction safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0019] Figure 1 It is a principle block diagram of the present invention; Figure 2 This is a flow chart of a method according to Embodiment 1 of the present invention; Figure 3 This is a flow chart of the method of Embodiment 2 of the present invention; Figure 4 This is a method flow chart of embodiment 3 of the present invention. DETAILED DESCRIPTION

[0020] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings 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.

[0021] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0022] See also Figure 1 As shown, the downhole drilling environment data transmission system based on artificial intelligence includes a collection layer, a transmission layer and a processing layer. The collection layer is used for the front end of the downhole drilling environment data transmission system to collect data on the downhole drilling environment and to perform data verification and collection according to different collection methods. The collection front end of the collection layer in this system belongs to the sensor of the scene in the prior art, and the hardware adapted to wireless transmission and priority transmission can correspond to data collection statistics. After the acquisition layer completes data acquisition, the transmission layer processes the transmission data and converts the signal for transmission, and promotes the conversion efficiency of the conversion signal according to the data processing while improving the data transmission rate; the data transmission protocol adapted in the transport layer of this system is only of the same type. If other types of data transmission protocols appear, the administrator terminal needs to supplement the protocol to avoid diverse data transmission rules and reduce transmission efficiency; After the transport layer completes data transmission, the processing layer processes and analyzes the real-time transmission data;

[0023] Embodiment 1 See also Figure 1 and Figure 2 As shown, the acquisition layer is equipped with a hardware performance identification module and a multi-sensor verification module; the operation process of the acquisition layer is as follows: The hardware performance identification module performs hardware performance analysis and identification on the downhole drilling data acquisition front end. Through performance analysis and identification, it is inferred whether the real-time operating status of the current data acquisition front end is qualified when collecting downhole environmental data, so as to improve the efficiency of downhole drilling environmental data collection and avoid the decrease of data transmission efficiency caused by abnormal performance of hardware equipment, and the inability to accurately collect data. The data acquisition front end includes components such as sensors; The data acquisition front end set in the downhole drilling area is labeled i, where i is a natural number greater than 1; the deviation value between the real-time collected data volume and the set data volume in the data acquisition cycle of the data acquisition front end under different drilling environments is obtained, where the data volume is the number of data at each moment in the current period, such as temperature, pressure, etc.; or the number of data samples corresponding to each moment, such as temperature, 10°C, 15°C; and the deviation value between the real-time collected data volume and the set data volume in the data acquisition cycle of the data acquisition front end under different drilling environments is marked as the front-end adaptation data; Obtain the missing amount of collected data corresponding to the value fluctuation of collected data at the non-collection time during the data collection stage of the data collection front end, and mark the missing amount of collected data corresponding to the value fluctuation of collected data at the non-collection time during the data collection stage of the data collection front end as front-end adjustment data; Compare the front-end adaptation data and the front-end adjustment data with the data volume deviation threshold and the data missing volume threshold respectively: If the front-end adaptation data exceeds the data volume deviation threshold, or the front-end adjustment data exceeds the data missing volume threshold, it is inferred that the hardware performance recognition in the acquisition layer is abnormal and cannot adapt to the current drilling environment, and an adaptive inefficiency signal is generated and sent to the administrator terminal, and the administrator terminal replaces the data acquisition front-end specifications; If the front-end adaptation data does not exceed the data volume deviation threshold, and the front-end adjustment data exceeds the data missing volume threshold, it is inferred that the hardware performance recognition in the collection layer is normal, and an adaptive high-efficiency signal is generated and sent to the administrator terminal; After completing the hardware performance identification and self-adaptation, the multi-sensor verification module performs multi-type verification on the data collection front end. Through multi-type verification, it is inferred whether the data collection pertinence of different sensors running at the same time in the current data collection stage meets the requirements, so as to avoid the failure to collect related data in time when different sensors collect at the same time, resulting in a decrease in the comprehensiveness of data collection. Acquire the collected data in the drilling environment, and perform data impact analysis on the collected data according to the historical drilling area monitoring process. If any data in the historical drilling area monitoring process fluctuates and the floating frequency of any data except the current data exceeds the set frequency threshold, the corresponding two data are marked as related data. In this application, in addition to the historical monitoring process, the related data can also be set according to the work experience of construction personnel in this field. For example, if the drilling depth fluctuates, the pressure value at the corresponding position also fluctuates; otherwise, it is marked as non-related data. The proportion of the collected data volume with associated data in the collected data at the same time during the operation of the data collection front end is obtained, and the data volume ratio of the associated data collection volume of any data at the same time to the non-associated data collection volume is obtained, and the proportion of the collected data volume with associated data in the collected data at the same time during the operation of the data collection front end and the data volume ratio of the associated data collection volume of any data at the same time to the non-associated data collection volume are marked as collection target information and collection priority information respectively; and compared with the collection data volume ratio threshold and the collection volume ratio threshold respectively: If the proportion of the collected data volume with associated data in the collected data at the same time during the operation of the data collection front end exceeds the collected data volume ratio threshold, and the data volume ratio of the associated data collection volume to the non-associated data collection volume of any data at the same time exceeds the collection volume ratio threshold, it is inferred that the multi-sensor verification of the data collection front end is qualified, and a qualified signal for coordinated collection is generated and sent to the administrator terminal; If the proportion of the collected data volume with associated data in the collected data at the same time during the operation of the data collection front-end does not exceed the collected data volume ratio threshold, or the data volume ratio of the associated data collection volume to the non-associated data collection volume of any data at the same time does not exceed the collection volume ratio threshold, it is inferred that the multi-sensor verification of the data collection front-end is unqualified, and a coordinated collection failure signal is generated and sent to the administrator terminal. After receiving the coordinated collection failure signal, the administrator terminal issues instructions to control the data collection front-end in the drilling area, that is, the data collection front-end of the associated data also collects data when the data is generated;

[0024] Embodiment 2 See also Figure 1 and Figure 3 As shown, a transmission data concise processing unit and a data pulse signal conversion unit are provided in the transmission layer; The transmission data concise processing unit is used to process the data collected by the data collection front end, that is, to optimize the data memory capacity to improve the data transmission efficiency without affecting the comprehensiveness of data transmission, to ensure that the transmission data can accurately reflect the construction status of the drilling area, to make construction decisions based on the transmission data, and to reduce the data size of the transmission data, to effectively speed up the data transmission efficiency, reduce the occupancy of the data transmission path, and improve the smoothness of all data transmission in the entire drilling area; The collected data of the data collection front end is used as the data transmission log, and the data transmission log is processed succinctly. The data collection front end model is used as the data front sequence. After the data front sequence is determined, the collected data of the current data collection front end is subjected to floating analysis. Get the time span of floating data in the collected data of the current data collection front end, and the floating maximum concentrated period density of floating data in the collected data, where the floating maximum concentrated period density is represented by the period in which the collected data has the highest number of data floats and the highest frequency; and compare the time span of floating data in the collected data of the current data collection front end, and the floating maximum concentrated period density of floating data in the collected data with the time span threshold and the maximum concentrated period density threshold respectively: If the time span of floating data in the collected data of the current data collection front end exceeds the time span threshold, and the floating maximum concentrated period density of floating data in the collected data exceeds the maximum concentrated period density threshold, it is inferred that the time series effect of the collected data of the current data collection front end is low, and the sequence sub-item of the corresponding data collection front end is set as the period, that is, the period is set as the sequence sub-item, and the collected data is extended according to the period as the sequence sub-item after the front sequence of the data is determined, such as the temperature front end, setting the A period and the B period; and the basis for extending the collected data within the period of the sequence sub-item is to display the data floating moment, that is, when the A period is not the maximum concentrated period, the corresponding data at the time in the corresponding period is constant and not transmitted, and the data with floating values ​​is retained and transmitted with the corresponding time; if the B period is the maximum concentrated period, the data at each moment in the period is likely to have floating values; If the time span of floating data in the collected data of the current data collection front end does not exceed the time span threshold, and the floating maximum concentrated period density of floating data in the collected data does not exceed the maximum concentrated period density threshold, it is inferred that the time series effect of the collected data of the current data collection front end is low, and the sequence sub-item of the corresponding data collection front end is set to the moment, that is, the moment is set as the sequence sub-item, and the collected data is extended according to the moment as the sequence sub-item after the front sequence of the data is determined; it can be understood that if the data floating span is low and the concentrated period density is low, the data will float slowly and continuously, so the moment is used as a sequence sub-item, which can be used to analyze the data more intuitively according to the transmission data; Collect the corresponding type of values ​​according to the set sequence sub-item type; After completing the data collection of the front sequence, sequence sub-items and corresponding sequence sub-items, a transmission data chain is constructed, and the data pulse signal conversion unit performs pulse signal conversion on the transmission data chain. The transmission data is transmitted to the ground in real time through the pulse signal conversion, and the pulse signal sequence can present periodic or non-periodic characteristics on the time axis, which is conducive to improving the efficiency of data transmission; Analyze the current transmission chain, use the data collected in the front sequence as the ordinate, the sequence sub-item as the abscissa, and transform the corresponding collected data of the sequence sub-item. Set the baseline according to the normal range of the collected data at the location, that is, mark the baseline in the coordinate system. If the sequence sub-item is a moment, the baseline is a point, and if the sequence sub-item is a time period, the baseline is a line. During the data collection phase, if the real-time value exceeds the normal range, a full pulse is performed, that is, the baseline rises in the coordinate system, and the rising height is the set height threshold. On the contrary, if the real-time value is lower than the normal range, a reverse full pulse is performed, that is, the baseline drops in the coordinate system at the set height threshold. and taking the floating of the baseline as a pulse signal sequence and sending the pulse signal sequence and the transmission data link together to the ground controller terminal;

[0025] Embodiment 3 See also Figure 1 and Figure 4 As shown, a transmission environment interference identification unit and a transmission sequence analysis unit are provided in the processing layer; During the data transmission stage, the transmission environment interference identification unit performs transmission environment interference identification analysis on the real-time drilling area, and infers whether the interference impact of the current data transmission exists through interference identification analysis. At the same time, it infers whether the anti-interference performance of the current data transmission is qualified based on the real-time transmission efficiency analysis, thereby ensuring the high efficiency of data transmission and improving the data transmission efficiency; The delay time caused by the fluctuation of the transmission speed of the corresponding pulse signal sequence when the environmental parameters fluctuate during the data transmission stage is obtained, and the deviation of the transmission reception interval time of the transmission data link when the environmental parameters do not fluctuate during the data transmission stage is obtained, and the delay time caused by the fluctuation of the transmission speed of the corresponding pulse signal sequence when the environmental parameters fluctuate during the data transmission stage and the deviation of the transmission reception interval time of the transmission data link when the environmental parameters do not fluctuate during the data transmission stage are marked as interference delay data and interference deviation data, respectively, and compared with the delay time threshold and the time deviation threshold, respectively: the environmental parameters are represented by parameters such as the temperature and magnetic field strength in the surrounding environment of the drilling area, and the fluctuation of the environmental parameters indicates that the parameter value fluctuation exceeds the set floating span, and the absence of the environmental parameters indicates that the surface parameter value fluctuation does not exceed the set floating span; If the delay caused by the fluctuation of the transmission speed of the corresponding pulse signal sequence when the environmental parameters fluctuate during the data transmission stage exceeds the delay time threshold, or the deviation of the transmission data link transmission reception interval time when the environmental parameters do not fluctuate during the data transmission stage exceeds the time deviation threshold, it is inferred that the anti-interference performance of the corresponding transmission environment during the data transmission stage is poor, and an interference identification signal is generated and sent to the ground administrator terminal. After receiving the interference identification signal, the ground administrator terminal adjusts the transmission time of the current data transmission to avoid excessive data transmission during the environmental parameter floating stage, and continuously monitors the surrounding environment; If the delay caused by the fluctuation of the transmission speed of the corresponding pulse signal sequence when the environmental parameters fluctuate during the data transmission phase does not exceed the delay time threshold, and the deviation of the transmission data link transmission and reception interval time when the environmental parameters do not fluctuate during the data transmission phase does not exceed the time deviation threshold, it is inferred that the anti-interference performance of the corresponding transmission environment during the data transmission phase is good, and an interference-free identification signal is generated and sent to the ground administrator terminal; After receiving the interference-free signal, the ground administrator terminal generates a transmission sequence analysis signal and sends the transmission sequence analysis signal to the transmission sequence analysis unit. After receiving the transmission sequence analysis signal, the transmission sequence analysis unit performs sequence analysis on the real-time transmitted pulse signal sequence, and infers whether the construction feasibility of the current drilling environment is normal through sequence analysis. Construction decisions are made through pulse signal sequence analysis to ensure construction safety. The continuous execution frequency peak value of the full-amount pulse with the same trend in the real-time received pulse signal sequence is obtained, and at the same time, the deviation amount of the real-time data amount mean value of the corresponding ordinate and the corresponding data amount mean value of the baseline after the continuous execution of the full-amount pulse with the same trend in the pulse signal sequence is obtained, and the continuous execution frequency peak value of the full-amount pulse with the same trend in the real-time received pulse signal sequence and the deviation amount of the real-time data amount mean value of the corresponding ordinate and the corresponding data amount mean value of the baseline after the continuous execution of the full-amount pulse with the same trend in the pulse signal sequence are marked as pulse frequency information and pulse influence information, respectively, and compared with the continuous execution frequency peak value threshold and the data mean deviation threshold, respectively: wherein, when the data corresponding to the ordinate is a range, the mean value is taken, and when it is a value, the corresponding value is taken; If the continuous execution frequency peak of the full-amount pulses with the same trend in the real-time received pulse signal sequence exceeds the continuous execution frequency peak threshold, or if the deviation of the corresponding vertical coordinate real-time data mean and the baseline corresponding data mean after the continuous execution of the full-amount pulses with the same trend in the pulse signal sequence exceeds the data mean deviation threshold, it is inferred that the collected data of the pulse signal sequence has a high floating impact, and a construction re-decision signal is generated and sent to the ground administrator terminal. After receiving the construction re-decision signal, the ground administrator terminal re-decides on the drilling construction, that is, conducts a combined analysis of multiple parameters such as the construction progress of the real-time drilling area and the operating status of the construction device; If the continuous execution frequency peak of the full-amount pulses with the same trend in the real-time received pulse signal sequence does not exceed the continuous execution frequency peak threshold, and after the full-amount pulses with the same trend in the pulse signal sequence are continuously executed, the deviation between the corresponding ordinate real-time data mean and the baseline corresponding data mean does not exceed the data mean deviation threshold, it is inferred that the collected data fluctuation influence of the pulse signal sequence is low, and a construction decision unchanged signal is generated and sent to the ground administrator terminal; When the present invention is used, the hardware performance identification module performs hardware performance analysis and identification on the downhole drilling data acquisition front end, collects front end adaptation data and front end adjustment data, and infers whether the hardware performance is qualified based on data analysis; the multi-sensor verification module performs multi-type verification on the data acquisition front end, obtains acquisition target information and acquisition priority information, and infers whether the multi-sensor verification is qualified based on information processing; The transmission layer is provided with a transmission data concise processing unit and a data pulse signal conversion unit; the transmission data concise processing unit processes the data collected by the data collection front end, and converts the collected data front sequence, sequence sub-item and data of the corresponding sequence sub-item to construct a transmission data chain; the data pulse signal conversion unit converts the transmission data chain into pulse signals; The processing layer is provided with a transmission environment interference identification unit and a transmission sequence analysis unit; the transmission environment interference identification unit performs transmission environment interference identification and analysis on the real-time drilling area, collects interference delay data and interference deviation data, and infers whether the anti-interference performance of the transmission environment is normal based on the data analysis; after the anti-interference performance is normal, the transmission sequence analysis unit performs sequence analysis on the real-time transmitted pulse signal sequence.

[0026] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A downhole drilling environment data transmission system based on artificial intelligence, including an acquisition layer, a transmission layer and a processing layer, characterized in that: The acquisition layer is equipped with a hardware performance identification module and a multi-sensor verification module; The hardware performance identification module analyzes and identifies the hardware performance of the downhole drilling data acquisition front end, collects the front end adaptation data and front end adjustment data, and infers whether the hardware performance is qualified based on data analysis; The multi-sensor verification module performs multi-type verification on the data acquisition front end, obtains acquisition target information and acquisition priority information, and infers whether the multi-sensor verification is qualified based on information processing; The transmission layer is provided with a transmission data concise processing unit and a data pulse signal conversion unit; The transmission data concise processing unit processes the data collected by the data collection front end, uses the collected data of the data collection front end as the data transmission log, and performs data concise processing on the data transmission log, uses the data collection front end model as the data front sequence, and after determining the data front sequence, performs floating analysis on the collected data of the current data collection front end, and collects the collected data front sequence, sequence sub-item and data of the corresponding sequence sub-item to build a transmission data chain; The data pulse signal conversion unit performs pulse signal conversion on the transmission data link; The processing layer is provided with a transmission environment interference identification unit and a transmission sequence analysis unit; The transmission environment interference identification unit performs transmission environment interference identification and analysis on the real-time drilling area, collects interference delay data and interference deviation data, and infers whether the transmission environment anti-interference performance is normal based on data analysis; After the anti-interference performance is normal, the transmission sequence analysis unit performs sequence analysis on the pulse signal sequence transmitted in real time.

2. The artificial intelligence-based downhole drilling environment data transmission system according to claim 1 is characterized in that: The front-end adaptation data and the front-end adjustment data are respectively the deviation value between the real-time collected data volume and the set data volume in the data collection cycle of the data collection front-end under different drilling environments, and the missing amount of collected data corresponding to the value fluctuation of the collected data at the non-collection time in the data collection stage of the data collection front-end; If the front-end adaptation data exceeds the data volume deviation threshold, or the front-end adjustment data exceeds the data missing volume threshold, an adaptive inefficient signal is generated; if the front-end adaptation data does not exceed the data volume deviation threshold, and the front-end adjustment data exceeds the data missing volume threshold, an adaptive efficient signal is generated.

3. The downhole drilling environment data transmission system based on artificial intelligence according to claim 1 is characterized in that: The collection target information and collection priority information are respectively the proportion of the collected data volume with associated data in the data collected at the same time during the operation of the data collection front end, and the ratio of the associated data collection volume to the non-associated data collection volume of any data at the same time; If the collection of targeted information exceeds the collection data volume ratio threshold, and the collection of priority information exceeds the collection volume ratio threshold, a matching collection qualified signal is generated; If the collection target information does not exceed the collection data volume ratio threshold, or the collection priority information does not exceed the collection volume ratio threshold, a cooperation collection failure signal is generated.

4. The downhole drilling environment data transmission system based on artificial intelligence according to claim 1 is characterized in that: The floating analysis process is as follows: Get the time span of floating data in the collected data of the current data collection front end, as well as the floating maximum concentration period density of floating data in the collected data: If the time span of the floating data in the collected data of the current data collection front end exceeds the time span threshold, and the floating maximum concentrated time period density of the floating data in the collected data exceeds the maximum concentrated time period density threshold, the sequence sub-item of the corresponding data collection front end is set as the time period; If the time span of floating data in the collected data of the current data collection front end does not exceed the time span threshold, and the floating maximum concentrated period density of floating data in the collected data does not exceed the maximum concentrated period density threshold, then the sequence sub-item of the corresponding data collection front end is set to moment; and the corresponding type of numerical value collection is performed according to the set sequence sub-item type.

5. The downhole drilling environment data transmission system based on artificial intelligence according to claim 1 is characterized in that: The process of the data pulse signal conversion unit is as follows: Analyze the current transmission chain, use the data collected in the front sequence as the ordinate, the sequence sub-item as the abscissa, and transform the corresponding collected data of the sequence sub-item. Set the baseline according to the normal range of the collected data at the location, that is, mark the baseline in the coordinate system. If the sequence sub-item is a moment, the baseline is a point, and if the sequence sub-item is a time period, the baseline is a line. During the data collection phase, if the real-time value exceeds the normal range, a full pulse is performed, that is, the baseline rises in the coordinate system, and the rising height is the set height threshold. On the contrary, if the real-time value is lower than the normal range, a reverse full pulse is performed, that is, the baseline drops in the coordinate system at the set height threshold. The floating of the baseline is used as a pulse signal sequence and the pulse signal sequence and the transmission data link are sent to the ground controller terminal.

6. The artificial intelligence-based downhole drilling environment data transmission system according to claim 1, characterized in that: The interference delay data and interference deviation data are respectively the delay time caused by the fluctuation of the transmission speed of the corresponding pulse signal sequence when the environmental parameters fluctuate during the data transmission stage, and the deviation of the transmission and reception interval time of the transmission data link when the environmental parameters do not fluctuate during the data transmission stage.

7. The artificial intelligence-based downhole drilling environment data transmission system according to claim 6 is characterized in that: If the interference delay data exceeds the delay duration threshold, or the interference deviation data exceeds the time deviation threshold, an interference identification signal is generated; if the interference delay data does not exceed the delay duration threshold, and the interference deviation data does not exceed the time deviation threshold, an interference-free identification signal is generated.

8. The downhole drilling environment data transmission system based on artificial intelligence according to claim 1 is characterized in that: The sequence analysis process is as follows: Obtain pulse frequency information and pulse impact information. If the pulse frequency information exceeds the continuous execution frequency peak threshold, or the pulse impact information exceeds the data mean deviation threshold, a construction re-decision signal is generated; if the pulse frequency information does not exceed the continuous execution frequency peak threshold, and the pulse impact information does not exceed the data mean deviation threshold, a construction decision unchanged signal is generated.

9. The artificial intelligence-based downhole drilling environment data transmission system according to claim 8, characterized in that: The pulse frequency information and pulse impact information are respectively the continuous execution frequency peak of full-amount pulses with the same trend in the real-time received pulse signal sequence and the deviation between the mean of the real-time data volume of the corresponding vertical coordinate and the mean of the data volume corresponding to the baseline after the full-amount pulses with the same trend in the pulse signal sequence are continuously executed.

Images