Liquid nitrogen freezing uniformity judgment method and related equipment

Abstract

The invention discloses a liquid nitrogen freezing uniformity judgment method and related equipment, and the method comprises the steps: constructing a sound velocity-temperature experience corresponding table, and determining a sound velocity threshold value and a temperature threshold value corresponding to a construction site stratum type according to the sound velocity-temperature experience corresponding table; the method comprises the following steps: acquiring sound velocity data and temperature data of each monitoring point in a liquid nitrogen freezing construction site, judging whether each monitoring point is an abnormal monitoring point or not according to the sound velocity data, the temperature data, a sound velocity threshold value and a temperature threshold value, obtaining the number of the abnormal monitoring points, and calculating a freezing uniformity index; the liquid nitrogen freezing construction strategy is adjusted in real time according to the freezing uniformity index; and empirical data of a liquid nitrogen freezing construction site are collected, and the sound velocity-temperature empirical correspondence table is adjusted according to the empirical data. According to the embodiment of the invention, the sound velocity data and the temperature data can be used for double-threshold judgment, and the accuracy of liquid nitrogen freezing uniformity judgment is effectively improved. The method can be widely applied to the technical field of liquid nitrogen freezing control.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of liquid nitrogen freezing control, and in particular to a liquid nitrogen freezing uniformity determination method and related equipment. BACKGROUND

[0002] At present, in the liquid nitrogen freezing construction of shield opening, the monitoring of the development of liquid nitrogen freezing mainly relies on manual drilling temperature measurement. A certain distance of temperature measurement hole is drilled in advance, and a sufficient number of low-temperature resistant thermometers are prepared in advance. During the liquid nitrogen freezing process, the temperature measuring instrument is manually placed into the pre-drilled probe hole to measure the temperature, and the data is read at regular intervals. The on-site technical personnel determine the freezing development by the data of the temperature measurement hole.

[0003] The existing liquid nitrogen freezing determination method has the following defects: (1) Reaction lag: the thermometer can only passively measure the temperature, and when the unfrozen area is found, the best control opportunity has been missed; (2) Insufficient data: the temperature measuring instrument is manually placed into the pre-drilled probe hole to measure the temperature, and the measurement can only select a few typical positions, and the overall temperature measurement data is insufficient; (3) Low reliability: only temperature measurement is performed, and no other data is used for assistance and cross-validation. If the temperature measuring instrument is aged or fails, the on-site personnel may easily make a major mistake in freezing; (4) Cannot be continuously improved: after the freezing construction is completed, it is impossible to provide continuous improvement experience for the next similar stratum freezing.

[0004] In summary, the technical problems in the related art need to be improved. SUMMARY

[0005] The main purpose of the embodiments of the present application is to provide a liquid nitrogen freezing uniformity determination method and related equipment. By constructing a sound velocity-temperature empirical correspondence table, sound velocity data and temperature data are combined for double-threshold determination, the freezing uniformity index is calculated, and the construction condition is adjusted in real time, thereby effectively improving the accuracy of liquid nitrogen freezing uniformity determination.

[0006] To achieve the above purpose, one aspect of the embodiments of the present application provides a liquid nitrogen freezing uniformity determination method, which comprises: constructing a sound velocity-temperature empirical correspondence table, obtaining the stratum type and historical experience data of the liquid nitrogen freezing construction site, determining the sound velocity threshold and temperature threshold corresponding to the stratum type according to the sound velocity-temperature empirical correspondence table and the historical experience data; obtain the sound velocity data and temperature data of each monitoring point in the liquid nitrogen freezing construction site, determine whether each monitoring point is an abnormal monitoring point according to the sound velocity data, the temperature data, the sound velocity threshold and the temperature threshold, and obtain the number of abnormal monitoring points; calculating a freezing uniformity index according to the number of abnormal monitoring points, and adjusting a liquid nitrogen freezing construction strategy in real time according to the freezing uniformity index; collecting experience data of the liquid nitrogen freezing construction site, and adjusting the sound velocity-temperature experience correspondence table according to the experience data.

[0007] In some embodiments, the construction of the sound velocity-temperature experience correspondence table comprises: determining qualified freezing sound velocities and qualified freezing temperatures of different stratum types according to a typical stratum database; constructing the sound velocity-temperature experience correspondence table according to the qualified freezing sound velocities and the qualified freezing temperatures.

[0008] In some embodiments, the determination of the sound velocity threshold and the temperature threshold corresponding to the stratum type according to the sound velocity-temperature experience correspondence table and the historical experience data comprises: determining qualified freezing sound velocities and qualified freezing temperatures corresponding to the stratum type according to the sound velocity-temperature experience correspondence table; correcting the qualified freezing sound velocities and the qualified freezing temperatures according to the historical experience data of the site to obtain the sound velocity threshold and the temperature threshold.

[0009] In some embodiments, the acquisition of the sound velocity data and the temperature data of each monitoring point in the liquid nitrogen freezing construction site comprises: preinstalling a movable sound wave probe and a temperature sensor chain in a special temperature measuring pipe; arranging the special temperature measuring pipe in a monitoring area of the liquid nitrogen freezing construction site; acquiring the sound velocity data of each monitoring point through the movable sound wave probe and acquiring the temperature data of each monitoring point through the temperature sensor chain.

[0010] In some embodiments, the judgment of whether each monitoring point is an abnormal monitoring point according to the sound velocity data, the temperature data, the sound velocity threshold and the temperature threshold to obtain the number of abnormal monitoring points comprises: determining sound velocity values and temperature values of the monitoring points according to the sound velocity data and the temperature data; judging whether the sound velocity values are lower than the sound velocity threshold and whether the temperature values are higher than the temperature threshold; when the sound velocity values are lower than the sound velocity threshold and the temperature values are higher than the temperature threshold, taking the corresponding monitoring points as the abnormal monitoring points.

[0011] In some embodiments, the calculation of the freezing uniformity index according to the number of abnormal monitoring points comprises: acquiring the total number of monitoring points; calculate the freezing uniformity index according to the total number of the monitoring points and the number of the abnormal monitoring points.

[0012] In some embodiments, the real-time adjustment of the liquid nitrogen freezing construction strategy according to the freezing uniformity index comprises: determining whether the freezing uniformity index is greater than a preset first freezing uniformity threshold value; when the freezing uniformity index is greater than the first freezing uniformity threshold value, maintaining the current liquid nitrogen flow for freezing construction operation and setting the indicator light to green; when the freezing uniformity index is less than the first freezing uniformity threshold value, determining whether the freezing uniformity index is greater than a preset second freezing uniformity threshold value; when the freezing uniformity index is greater than the second freezing uniformity threshold value, maintaining the current liquid nitrogen flow for freezing construction operation and setting the indicator light to yellow; when the freezing uniformity index is less than the second freezing uniformity threshold value, increasing the current liquid nitrogen flow for freezing construction operation and setting the indicator light to red.

[0013] To achieve the above-mentioned purpose, another aspect of the embodiment of the present application proposes a liquid nitrogen freezing uniformity determination device, which comprises: a double threshold value acquisition module, configured to construct a sound velocity-temperature experience corresponding table, acquire stratum types and historical experience data of a liquid nitrogen freezing construction site, and determine sound velocity threshold values and temperature threshold values corresponding to the stratum types according to the sound velocity-temperature experience corresponding table and the historical experience data; an abnormal monitoring point determination module, configured to acquire sound velocity data and temperature data of each monitoring point in the liquid nitrogen freezing construction site, and determine whether each monitoring point is an abnormal monitoring point according to the sound velocity data, the temperature data, the sound velocity threshold values and the temperature threshold values, to obtain the number of the abnormal monitoring points; a construction strategy adjustment module, configured to calculate a freezing uniformity index according to the number of the abnormal monitoring points, and to real-time adjust a liquid nitrogen freezing construction strategy according to the freezing uniformity index; a data collection and optimization module, configured to collect experience data of the liquid nitrogen freezing construction site, and to adjust the sound velocity-temperature experience corresponding table according to the experience data.

[0014] To achieve the above-mentioned purpose, another aspect of the embodiment of the present application proposes an electronic device, which comprises a memory and a processor, the memory stores a computer program, and the processor implements the above-mentioned method when executing the computer program.

[0015] To achieve the above object, another aspect of the embodiment of the present application provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the method described / mentioned above.

[0016] To achieve the above object, another aspect of the embodiment of the present application provides a computer program product, which comprises a computer program, and the computer program is executed by a processor to implement the method described / mentioned above The embodiment of the present application at least has the following beneficial effects: the present application provides a liquid nitrogen freezing uniformity determination method and related equipment, which constructs a sound velocity-temperature empirical correspondence table, facilitates quick acquisition of the correspondence between the formation type and the sound velocity and temperature threshold value, provides a quantitative standard for freezing state determination, solves the problem of the dependence of the artificial judgment method on experience and the lack of a unified standard, uses sound velocity data and temperature data for double threshold value determination to detect whether each monitoring point is abnormal, avoids misjudgment caused by a single parameter, effectively improves the accuracy and reliability of freezing determination, quantizes the number of abnormal monitoring points into an intuitive freezing uniformity index, facilitates quick freezing condition judgment by construction personnel, and improves the response speed of adjustment of freezing construction strategy, continuously optimizes the determination system by continuously correcting the sound velocity-temperature empirical correspondence table with empirical data, and the accumulated data can be used in similar soil freezing determination, so that the determination accuracy of subsequent freezing projects is continuously improved. BRIEF DESCRIPTION OF DRAWINGS

[0017] Figure 1 is a step flow chart of a liquid nitrogen freezing uniformity determination method provided by the embodiment of the present application; Figure 2 is a plane schematic diagram of an implementation scene of a liquid nitrogen freezing uniformity determination method provided by the embodiment of the present application; Figure 3 is a longitudinal section schematic diagram of an implementation scene of a liquid nitrogen freezing uniformity determination method provided by the embodiment of the present application; Figure 4 is a structural schematic diagram of a liquid nitrogen freezing uniformity determination device provided by the embodiment of the present application; Figure 5 is a hardware structure schematic diagram of an electronic device provided by the embodiment of the present application; REFERENCE NUMERALS: 1: liquid nitrogen vehicle; 2: liquid nitrogen freezing pipe; 3: liquid nitrogen exhaust pipe; 4: special temperature measuring pipe; 5: sound wave probe; 6: temperature sensor chain; 7: planned freezing range. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical scheme and advantages of the present application more clear, the present application is further described in detail below in combination with the drawings and examples. It should be understood that the specific examples described herein are only used to explain the present application and do not limit the present application. When the following description relates to the drawings, the same numerals in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with embodiments of the present application, but are only examples of devices and methods consistent with some aspects of the embodiments of the present application as detailed in the appended claims.

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used in the specification herein is for describing the embodiments of the present application only and is not intended to limit the present application.

[0020] The concept of the present application is described below in combination with the background art.

[0021] At present, in the liquid nitrogen freezing construction of shield opening, the monitoring of the development of liquid nitrogen freezing mainly relies on manual drilling temperature measurement. A certain distance of temperature measurement hole is drilled in advance, and a sufficient number of low-temperature resistant thermometers are prepared in advance. During the liquid nitrogen freezing process, the temperature measuring instrument is manually placed into the pre-drilled probe hole to measure the temperature, and the data is read at regular intervals. The on-site technical personnel determine the freezing development through the data of the temperature measurement hole.

[0022] The existing liquid nitrogen freezing determination method has the following defects: (1) Reaction lag: the thermometer can only passively measure the temperature, and when the unfrozen area is found, the best control opportunity has been missed; (2) Insufficient data: the temperature measuring instrument is manually placed into the pre-drilled probe hole to measure the temperature, and the measurement can only select a few typical positions, and the overall temperature measurement data is insufficient; (3) Low reliability: only temperature measurement is performed, and no other data is used for assistance and cross-validation. If the temperature measuring instrument is aged or fails, the on-site personnel may easily make a major mistake in freezing; (4) Cannot be continuously improved: after the freezing construction is completed, it is not possible to provide continuous improvement experience for the next similar stratum freezing.

[0023] Therefore, in the embodiments of the present application, a liquid nitrogen freezing uniformity determination method and related equipment are provided. By constructing a sound velocity-temperature experience correspondence table, sound velocity data and temperature data are combined for double-threshold determination, the freezing uniformity index is calculated, and the construction condition is adjusted in real time, thereby effectively improving the accuracy of liquid nitrogen freezing uniformity determination.

[0024] The embodiment of the present application provides a liquid nitrogen freezing uniformity determination method, and relates to the technical field of information.The liquid nitrogen freezing uniformity determination method provided by the embodiment of the present application can be applied to a terminal, can be applied to a server, and can also be software running in the terminal or the server.In some embodiments, the terminal can be a smart phone, a tablet computer, a notebook computer, a desktop computer, a smart speaker, a smart watch, a vehicle-mounted terminal and the like, but is not limited to this; the server end can be configured as a separate physical server, can be configured as a server cluster or a distributed system formed by multiple physical servers, can be configured as a cloud server providing basic cloud computing services such as cloud service, cloud database, cloud computing, cloud function, cloud storage, network service, cloud communication, middleware service, domain name service, security service, CDN and big data and artificial intelligence platform, and the server can also be a node server in a blockchain network; and the software can be an application for realizing the liquid nitrogen freezing uniformity determination method and the like, but is not limited to the above forms.

[0025] The present application can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld devices or portable devices, tablet devices, multi-processor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, and the like. The present application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, and the like that perform specific tasks or implement specific abstract data types. The present application can also be practiced in a distributed computing environment, in which tasks are performed by remote processing devices connected by a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media, including storage devices.

[0026] Figure 1 is an optional flowchart of the liquid nitrogen freezing uniformity determination method provided by the embodiment of the present application, Figure 1 The method in the embodiment of the present application can include but is not limited to steps S101 to S104.

[0027] S101, constructing a sound velocity-temperature experience corresponding table, obtaining stratum types and historical experience data of a liquid nitrogen freezing construction site, and determining sound velocity threshold values and temperature threshold values corresponding to the stratum types according to the sound velocity-temperature experience corresponding table and the historical experience data; In some embodiments, constructing the sound velocity-temperature experience corresponding table includes: S1011, determining qualified freezing sound velocities and qualified freezing temperatures of different stratum types according to a typical stratum database; S1012, constructing a sound velocity-temperature empirical correspondence table according to the qualified frozen sound velocity and the qualified frozen temperature.

[0028] Specifically, in the liquid nitrogen freezing construction process, the physical properties of different strata have large differences in the response law of sound velocity and temperature. Therefore, the embodiment first constructs a sound velocity-temperature empirical correspondence table to provide threshold basis for subsequent freezing uniformity judgment.

[0029] In the embodiment, the process of constructing the sound velocity-temperature empirical correspondence table includes the following contents: In steps S1011-S1012, the qualified frozen sound velocity and the qualified frozen temperature of different strata types are first determined according to the typical stratum database. Specifically, the sound velocity reference range of different strata in the frozen state can be determined according to the lower limit value of the frozen soil wave velocity in the national standard test, and then the measured average sound velocity and the corresponding temperature of common strata such as water-rich sand layer, clay layer, and sandy pebble layer are obtained from the typical stratum engineering database. Finally, the standard data is corrected and calibrated by combining the experience data accumulated from previous projects to obtain the qualified frozen sound velocity and the qualified frozen temperature that are more suitable for local geological conditions. In this way, the sound velocity-temperature empirical correspondence table not only retains the universality but also has the flexibility of self-adaptive adjustment.

[0030] For example, part of the data of the sound velocity-temperature empirical correspondence table constructed by the embodiment can be as shown in Table 1: Table 1

[0031] Table 1 shows the empirical values of sound velocity and temperature after freezing completion under different strata types. In the embodiment, on the basis of the empirical values in the above freezing completion state, the sound velocity and temperature empirical values during freezing start and freezing process can be obtained through historical experience data of the site construction, which are used as sound velocity threshold and temperature threshold to judge whether each monitoring point in the entire freezing process is an abnormal point, and then evaluate the change of freezing uniformity in the entire freezing process based on the proportion of abnormal points.

[0032] It can be recognized that through the table, the qualified frozen sound velocity and the qualified frozen temperature corresponding to the strata type of the freezing construction site can be quickly obtained, and then the sound velocity threshold and the temperature threshold can be quickly determined in combination with the historical experience on site, thereby providing reliable quantitative basis judgment standard for the subsequent steps.

[0033] In some embodiments, determining the sound velocity threshold and the temperature threshold corresponding to the strata type according to the sound velocity-temperature empirical correspondence table and historical experience data includes: S1013, determining the qualified frozen sound velocity and the qualified frozen temperature corresponding to the strata type according to the sound velocity-temperature empirical correspondence table; S1014, correct the qualified frozen sound velocity and the qualified frozen temperature according to the field historical experience data to obtain the sound velocity threshold and the temperature threshold.

[0034] Specifically, after the construction of the sound velocity-temperature experience correspondence table is completed, it is necessary to further combine the actual geological conditions of the freezing construction site to correct the original values obtained by table lookup, so that the determination standard matches the current construction site and the current freezing stage.

[0035] In steps S1013-S1014, after the field technician obtains the stratum type in the current construction range through drilling sampling or geological exploration report, the typical "qualified frozen sound velocity" and "qualified frozen temperature" corresponding to the stratum type can be obtained by consulting the aforementioned sound velocity-temperature experience correspondence table. These parameters reflect the lower limit value of sound wave propagation speed and the upper limit value of temperature of the stratum in the stable frozen state, which represent the critical condition of the frozen body reaching a safe dense state. For example, when the sound velocity in the water-rich sand layer is greater than 2750 m / s and the temperature is lower than -8 ℃, it can be considered that the freezing is sufficient and meets the construction requirements.

[0036] In order to make the above typical values become the reference threshold for determining whether a monitoring point is abnormal in different freezing stages, the field historical experience data needs to be obtained in this embodiment, and the qualified frozen sound velocity and the qualified frozen temperature are corrected by analyzing these experience data, to obtain the final sound velocity threshold and temperature threshold as the final standard for field determination It can be recognized that, in this embodiment, the qualified frozen sound velocity and the qualified frozen temperature are determined based on table lookup, and the field historical data is corrected, so that the selection of the sound velocity threshold and the temperature threshold is more scientific and reasonable, which not only retains the standardized characteristics of the experience correspondence table, but also fully considers the individualized information of the field experience data, can maintain good adaptability in different construction environments, thereby significantly improving the accuracy and reliability of the subsequent frozen uniformity determination.

[0037] S102, obtaining sound velocity data and temperature data of each monitoring point in the liquid nitrogen freezing construction site, determining whether each monitoring point is an abnormal monitoring point according to the sound velocity data, the temperature data, the sound velocity threshold and the temperature threshold, and obtaining the number of abnormal monitoring points; In some embodiments, obtaining sound velocity data and temperature data of each monitoring point in the liquid nitrogen freezing construction site comprises: S1021, preinstalling the movable sound wave probe and the temperature sensor chain in the special temperature measuring pipe; S1022, arranging the special temperature measuring pipe in the monitoring area of the liquid nitrogen freezing construction site; S1023, obtaining the sound velocity data of each monitoring point through the movable sound wave probe, and obtaining the temperature data of each monitoring point through the temperature sensor chain.

[0038] Specifically, after determining the sound velocity threshold value and the temperature threshold value, to realize real-time determination of freezing uniformity, monitoring equipment needs to be arranged in the monitoring area of the construction site to simultaneously obtain sound velocity data and temperature data of each monitoring point.

[0039] Exemplarily, in the embodiment, a commonly used liquid nitrogen temperature measuring tube is designed as follows to obtain a special temperature measuring tube: a movable sound wave probe and a temperature sensor chain are pre-installed in a PVC tube with a diameter of 75 mm, the temperature sensor chain is arranged axially along the inside of the PVC tube, one temperature sensor is arranged at each interval of a certain depth, each temperature sensor corresponds to a monitoring point, and a depth label is marked on the cable, and the movable sound wave probe slides along the tube, and the sound velocity of the monitoring points at different depths can be measured by controlling the position of the probe.

[0040] Referring to Figure 2 and Figure 3 , Figure 2 The shadow area in the figure represents the planned freezing range 7, and the dots outside the shadow area are the special temperature measuring tube 4, Figure 3 The distribution of the movable sound wave probe 5 and the temperature sensor chain 6 in the special temperature measuring tube 4 is shown. Through the structural design of the temperature measuring tube, multi-parameter and multi-level detection can be realized in the same temperature measuring tube, the number of drill holes is reduced, the detection efficiency is improved, and a reliable data basis is provided for subsequent quantitative determination of the freezing state.

[0041] In some embodiments, whether each monitoring point is an abnormal monitoring point is determined according to the sound velocity data, the temperature data, the sound velocity threshold value, and the temperature threshold value, and the number of abnormal monitoring points is obtained, including: S1024, determining a sound velocity value and a temperature value of the monitoring point according to the sound velocity data and the temperature data; S1025, determining whether the sound velocity value is lower than the sound velocity threshold value and whether the temperature value is higher than the temperature threshold value; S1026, when the sound velocity value is lower than the sound velocity threshold value and the temperature value is higher than the temperature threshold value, the corresponding monitoring point is taken as an abnormal monitoring point.

[0042] Specifically, in the embodiment, after obtaining the sound velocity data and the temperature data collected by the sensor, the sound velocity value and the temperature value of the current monitoring point need to be obtained by processing the sound velocity data and the temperature data, so as to facilitate the double-threshold determination in the subsequent steps.

[0043] In the actual liquid nitrogen freezing construction process, the freezing body has not been formed before and in the middle of freezing, and the sound velocity value can be directly taken as the measured value in the sound velocity data. When the freezing body is preliminarily formed in the later period, the measured value can be corrected and then taken as the sound velocity value of the current monitoring point in combination with the empirical value of the sound velocity in the aquifer.

[0044] After the sound velocity value and the temperature value are acquired, if the sound velocity value of the monitoring point is lower than the current sound velocity threshold value, it indicates that the freezing body in the region has not reached sufficient compactness; if the temperature value of the monitoring point is higher than the temperature threshold value at the same time, it also indicates that the freezing degree is insufficient, since the sound velocity and the temperature have a complementary relationship in the change trend of the freezing process, the sound velocity decreases often accompanied by the temperature rising, therefore, if both of them deviate from the threshold interval at the same time, it can be determined that the freezing state is abnormal, and the current monitoring point is an abnormal monitoring point.

[0045] It can be recognized that the joint determination mode of the double thresholds proposed in the embodiment effectively avoids the misjudgment caused by single temperature or single sound velocity monitoring, greatly improves the reliability of the abnormal identification result, and provides a reliable data basis for the calculation of the subsequent freezing uniformity index.

[0046] S103, calculating a freezing uniformity index according to the number of abnormal monitoring points, and adjusting the liquid nitrogen freezing construction strategy in real time according to the freezing uniformity index; In some embodiments, calculating the freezing uniformity index according to the number of abnormal monitoring points comprises: S1031, acquiring the total number of monitoring points; S1032, calculating the freezing uniformity index according to the total number of monitoring points and the number of abnormal monitoring points.

[0047] Specifically, the embodiment calculates the freezing uniformity index based on the number relationship between the abnormal monitoring points and the total monitoring points. Exemplarily, the calculation formula of the freezing uniformity index can be as follows: Freezing uniformity index = [1-(abnormal monitoring point number / total monitoring point number)] x 100% When the number of abnormal monitoring points in the freezing body accounts for a small proportion, it indicates that the freezing state is uniform, and the uniformity index value is high; on the contrary, if the number of abnormal monitoring points is large, it indicates that the local region is insufficiently frozen, and the uniformity index decreases. Through this calculation mode, the originally discrete multi-point abnormal monitoring results can be converted into a single quantitative index, which intuitively reflects the freezing uniformity of the current freezing state, and facilitates the construction personnel to quickly obtain relevant information.

[0048] In some embodiments, adjusting the liquid nitrogen freezing construction strategy in real time according to the freezing uniformity index comprises: S1033, judging whether the freezing uniformity index is greater than a preset first freezing uniformity threshold value; S1034, when the freezing uniformity index is greater than the first freezing uniformity threshold value, maintaining the current liquid nitrogen flow for freezing construction operation and setting the indicator light to green; S1035, when the freezing uniformity index is less than the first freezing uniformity threshold value, judging whether the freezing uniformity index is greater than a preset second freezing uniformity threshold value; S1036, when the freezing uniformity index is greater than the second freezing uniformity threshold, maintaining the current liquid nitrogen flow for freezing construction operation and setting the indicator light to yellow; S1037, when the freezing uniformity index is less than the second freezing uniformity threshold, increasing the current liquid nitrogen flow for freezing construction operation and setting the indicator light to red.

[0049] Specifically, in the present embodiment, the three freezing states of uniform freezing, slight uneven freezing and obvious uneven freezing are distinguished by setting layered freezing uniformity thresholds, the construction strategy is adjusted accordingly according to different freezing states, and prompt information is quickly transmitted through the indicator light with obvious distinction.

[0050] Exemplarily, the first freezing uniformity threshold represents the minimum standard required for the freezing body to reach a stable uniform state, which can be set to 95%, and the second freezing uniformity threshold is used to distinguish the freezing states of slight uneven freezing and obvious uneven freezing, which can be set to 90%. When the freezing uniformity index is greater than the first freezing uniformity threshold, it is judged that the current freezing state is uniform, the system does not need to be adjusted, the operation can continue as planned, and the indicator light is set to green to prompt this state; when the freezing uniformity index is less than the first freezing uniformity threshold and greater than the second freezing uniformity threshold, it is judged that the current freezing state is slightly uneven, the current liquid nitrogen flow is maintained for freezing, but the indicator light is set to yellow to prompt the site technician to observe possible fluctuations; when the freezing uniformity index is less than the second freezing uniformity threshold, it is judged that the current freezing state is obviously uneven, a warning signal is sent through the red indicator light to prompt the operator to increase the liquid nitrogen flow to speed up the freezing reinforcement process.

[0051] It can be recognized that through the above dynamic adjustment strategy, the present embodiment establishes a direct correspondence between complex monitoring data and on-site construction operation, intuitively displays the freezing state through the indicator light, which is convenient for construction personnel to quickly take corresponding measures. At the same time, the layered freezing uniformity threshold design avoids resource waste caused by over-freezing, and also prevents safety hazards caused by under-freezing, taking into account economic benefits and safety.

[0052] S104, collecting experience data of the liquid nitrogen freezing construction site, and adjusting the sound velocity-temperature experience correspondence table according to the experience data.

[0053] Specifically, after the calculation of the freezing uniformity index, the freezing state judgment and the construction adjustment are completed, the embodiment further collects the experience data of the liquid nitrogen freezing construction site. The experience data can include the stratum type, the sound velocity value, the temperature value, the number of abnormal monitoring points, the freezing uniformity index and the corresponding construction parameters (such as the liquid nitrogen flow, the freezing time, etc.) obtained in the construction process. By sorting and analyzing these data, the deviation law of the sound velocity and the temperature threshold value under different stratum conditions can be found. Based on this, the sound velocity-temperature experience corresponding table previously constructed is periodically adjusted, so that the threshold parameters of each stratum in the table gradually approach the real situation on site.

[0054] It can be recognized that the embodiment not only realizes real-time monitoring and dynamic regulation of the freezing process, but also continuously corrects the determination results through continuous accumulation of experience data, and constructs a freezing uniformity determination system that can be iteratively optimized.

[0055] Please refer to Figure 4 The embodiment of the present application also provides a liquid nitrogen freezing uniformity determination device, which can realize the above-mentioned method. The device comprises: A double threshold value acquisition module is configured to construct a sound velocity-temperature experience corresponding table, acquire the stratum type and historical experience data of the liquid nitrogen freezing construction site, and determine the sound velocity threshold value and the temperature threshold value corresponding to the stratum type according to the sound velocity-temperature experience corresponding table and the historical experience data. An abnormal monitoring point determination module is configured to acquire the sound velocity data and the temperature data of each monitoring point in the liquid nitrogen freezing construction site, determine whether each monitoring point is an abnormal monitoring point according to the sound velocity data, the temperature data, the sound velocity threshold value and the temperature threshold value, and obtain the number of abnormal monitoring points. A construction strategy adjustment module is configured to calculate a freezing uniformity index according to the number of abnormal monitoring points, and adjust the liquid nitrogen freezing construction strategy in real time according to the freezing uniformity index. A data collection and optimization module is configured to collect experience data of the liquid nitrogen freezing construction site, and adjust the sound velocity-temperature experience corresponding table according to the experience data.

[0056] It can be understood that the contents in the above method embodiment are applicable to the present device embodiment. The device embodiment specifically realizes the same functions as the above method embodiment, and achieves the same beneficial effects as the above method embodiment.

[0057] The embodiment of the present application also provides an electronic device, which comprises a memory and a processor. The memory stores a computer program, and the processor realizes the above-mentioned method when executing the computer program. The electronic device can be any intelligent terminal, such as a tablet computer or a vehicle-mounted computer.

[0058] It can be understood that the contents in the above method embodiments are all applicable to the present device embodiments, the present device embodiments specifically implement the functions same as those of the above method embodiments, and achieve the same beneficial effects as those of the above method embodiments.

[0059] Please refer to Figure 5 , Figure 5 The hardware structure of the electronic device of another embodiment is illustrated, and the electronic device comprises: The processor 901 can be implemented in a general-purpose CPU (Central Processing Unit), a microprocessor, an ASIC (Application Specific Integrated Circuit), or one or more integrated circuits, etc., and is used to execute related programs to implement the technical solutions provided by the embodiments of the present application. The memory 902 can be implemented in the form of a ROM (Read Only Memory), a static storage device, a dynamic storage device, or a RAM (Random Access Memory), etc. The memory 902 can store an operating system and other application programs, and when the technical solutions provided by the embodiments of the present application are implemented by software or firmware, the related program codes are saved in the memory 902 and are called and executed by the processor 901 to implement the above-mentioned methods of the embodiments of the present application. The input / output interface 903 is used to realize information input and output. The communication interface 904 is used to realize the communication interaction between the present device and other devices, and can realize communication through a wired manner (such as USB, network cable, etc.) or a wireless manner (such as mobile network, WIFI, Bluetooth, etc.). The bus 905 transmits information between various components (such as the processor 901, the memory 902, the input / output interface 903, and the communication interface 904) of the device. The processor 901, the memory 902, the input / output interface 903, and the communication interface 904 are connected to each other through the bus 905 for internal communication in the device.

[0060] The embodiments of the present application also provide a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the above-mentioned method.

[0061] It can be understood that the contents in the above method embodiments are all applicable to the present storage medium embodiments, the present storage medium embodiments specifically implement the same functions as the above method embodiments, and achieve the same beneficial effects as the above method embodiments.

[0062] The present application also provides a computer program product comprising a computer program which, when executed by a processor, implements the above method.

[0063] It can be understood that the contents in the above method embodiments are all applicable to the present program product embodiments, the present program product embodiments specifically implement the same functions as the above method embodiments, and achieve the same beneficial effects as the above method embodiments.

[0064] The memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. In addition, the memory can include a high-speed random access memory and can also include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state memory device. In some embodiments, the memory can optionally include a memory remotely disposed relative to the processor, and these remote memories can be connected to the processor through a network. Examples of the above network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0065] The liquid nitrogen freezing uniformity determination method and related equipment provided by the present application provide a liquid nitrogen freezing uniformity determination method. The scheme constructs a sound velocity-temperature empirical correspondence table, facilitates quick acquisition of the correspondence between the formation type and the sound velocity and temperature threshold, provides a quantitative standard for freezing state determination, solves the problem of the dependence of the manual judgment method on experience and the lack of a unified standard, and avoids misjudgment caused by a single parameter, effectively improving the accuracy and reliability of freezing determination. By quantifying the number of abnormal monitoring points as an intuitive freezing uniformity index, the freezing condition can be quickly determined by the construction personnel, and the response speed of the adjustment of the freezing construction strategy is improved. By continuously correcting the sound velocity-temperature empirical correspondence table with empirical data, a sustainable optimization determination system is constructed, and the accumulated data can be used in similar soil freezing determination, so that the determination accuracy of subsequent freezing projects is continuously improved.

[0066] The embodiments described in the present application are used to more clearly illustrate the technical solutions of the present application, and do not constitute a limitation on the technical solutions provided by the present application. Those skilled in the art can know that, with the evolution of technology and the appearance of new application scenarios, the technical solutions provided by the present application are also applicable to similar technical problems.

[0067] Those skilled in the art can understand that the technical solutions shown in the figures do not constitute a limitation to the embodiments of the present application, and can include more or fewer steps than the figures, or combine certain steps, or different steps.

[0068] The apparatus embodiments described above are merely illustrative, and units described as separate components can or can not be physically separate, i.e., can be located in one place, or can be distributed to multiple network units. Part or all of the modules can be selected according to actual needs to achieve the purpose of the embodiments.

[0069] Those skilled in the art can understand that all or some of the steps in the above disclosed method, the function modules / units in the system and the device can be implemented as software, firmware, hardware and their appropriate combinations.

[0070] The terms "first", "second", "third", "fourth" and the like used in the description of the present application and the above-described drawings (if any) are used to distinguish similar objects, and do not necessarily have to describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0071] It should be understood that in the present application, "at least one" means one or more, and "multiple" means two or more. "And / or" is used to describe the association between the associated objects, which means that there can be three relationships, for example, "A and / or B" can represent three cases: only A, only B, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally represents an "or" relationship between the associated objects. "At least one of the following" or similar expressions means any combination of these items, including any combination of single or multiple items. For example, at least one of a, b or c can mean a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0072] In several embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented by other manners. For example, the apparatus embodiments described above are merely illustrative, for example, the division of the above units is merely a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interfaces, apparatuses or units, and can be electrical, mechanical or other forms.

[0073] The units described above as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they can be located in one place or distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0074] In addition, the functional units in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0075] If the integrated unit is realized in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application essentially or the part of the prior art that makes a contribution or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, including a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method of each embodiment of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various program storage media.

[0076] The preferred embodiments of the embodiments of the present application are described above with reference to the accompanying drawings, which are not limited to the scope of the embodiments of the present application. Any modifications, equivalent replacements and improvements made by those skilled in the art without departing from the scope and essence of the embodiments of the present application shall be within the scope of the embodiments of the present application.

Claims

1. A method for determining the uniformity of liquid nitrogen freezing, characterized in that, include: Construct an empirical correspondence table of sound velocity and temperature, obtain the geological type and historical experience data of the liquid nitrogen freezing construction site, and determine the sound velocity threshold and temperature threshold corresponding to the geological type based on the empirical correspondence table of sound velocity and temperature and the historical experience data. Acquire sound velocity data and temperature data at each monitoring point in the liquid nitrogen freezing construction site, and determine whether each monitoring point is an abnormal monitoring point based on the sound velocity data, the temperature data, the sound velocity threshold, and the temperature threshold, thereby obtaining the number of abnormal monitoring points; The freezing uniformity index is calculated based on the number of abnormal monitoring points, and the liquid nitrogen freezing construction strategy is adjusted in real time based on the freezing uniformity index. Collect empirical data from the liquid nitrogen freezing construction site, and adjust the sound velocity-temperature empirical correspondence table based on the empirical data.

2. The method for determining the uniformity of liquid nitrogen freezing according to claim 1, characterized in that, The constructed sound speed-temperature empirical correspondence table includes: Determine the acceptable freezing sound velocity and acceptable freezing temperature for different stratigraphic types based on a typical stratigraphic database; Construct the sound velocity-temperature empirical correspondence table based on the qualified freezing sound velocity and the qualified freezing temperature.

3. The method for determining the uniformity of liquid nitrogen freezing according to claim 1, characterized in that, The step of determining the sound velocity threshold and temperature threshold corresponding to the formation type based on the sound velocity-temperature empirical correspondence table and the historical empirical data includes: Determine the qualified freezing sound velocity and qualified freezing temperature corresponding to the formation type based on the sound velocity-temperature empirical correspondence table. Based on the historical experience data from the field, the qualified freezing sound velocity and the qualified freezing temperature are corrected to obtain the sound velocity threshold and the temperature threshold.

4. The method for determining the uniformity of liquid nitrogen freezing according to claim 1, characterized in that, The acquisition of sound velocity and temperature data at each monitoring point in the liquid nitrogen freezing construction site includes: The movable acoustic probe and temperature sensor chain are pre-installed in a specially designed temperature measuring tube; The specially designed temperature measuring tubes are deployed within the monitoring area of ​​the liquid nitrogen freezing construction site; The sound velocity data of each monitoring point is acquired through the movable acoustic probe, and the temperature data of each monitoring point is acquired through the temperature sensor chain.

5. The method for determining the uniformity of liquid nitrogen freezing according to claim 1, characterized in that, The step of determining whether each monitoring point is an abnormal monitoring point based on the sound velocity data, the temperature data, the sound velocity threshold, and the temperature threshold, and obtaining the number of abnormal monitoring points, includes: The sound velocity and temperature values ​​at the monitoring point are determined based on the sound velocity data and the temperature data. Determine whether the sound speed value is lower than the sound speed threshold and determine whether the temperature value is higher than the temperature threshold; When the sound speed value is lower than the sound speed threshold and the temperature value is higher than the temperature threshold, the corresponding monitoring point is designated as the abnormal monitoring point.

6. The method for determining the uniformity of liquid nitrogen freezing according to claim 1, characterized in that, The calculation of the freezing uniformity index based on the number of abnormal monitoring points includes: Obtain the total number of monitoring points; The freezing uniformity index is calculated based on the total number of monitoring points and the number of abnormal monitoring points.

7. The method for determining the uniformity of liquid nitrogen freezing according to claim 1, characterized in that, The real-time adjustment of the liquid nitrogen freezing construction strategy based on the freezing uniformity index includes: Determine whether the freezing uniformity index is greater than a preset first freezing uniformity threshold; When the freezing uniformity index is greater than the first freezing uniformity threshold, maintain the current liquid nitrogen flow rate for freezing operations and set the indicator light to green; When the freezing uniformity index is less than the first freezing uniformity threshold, determine whether the freezing uniformity index is greater than the preset second freezing uniformity threshold; When the freezing uniformity index is greater than the second freezing uniformity threshold, maintain the current liquid nitrogen flow rate for freezing operations and set the indicator light to yellow; When the freezing uniformity index is less than the second freezing uniformity threshold, increase the current liquid nitrogen flow rate to carry out freezing operations and set the indicator light to red.

8. A device for determining the uniformity of liquid nitrogen freezing, characterized in that, The device includes: The dual threshold acquisition module is used to construct a sound velocity-temperature empirical correspondence table, acquire the stratum type and historical experience data of the liquid nitrogen freezing construction site, and determine the sound velocity threshold and temperature threshold corresponding to the stratum type based on the sound velocity-temperature empirical correspondence table and the historical experience data. An abnormal monitoring point determination module is used to acquire sound velocity data and temperature data of each monitoring point in the liquid nitrogen freezing construction site, and determine whether each monitoring point is an abnormal monitoring point based on the sound velocity data, the temperature data, the sound velocity threshold and the temperature threshold, so as to obtain the number of abnormal monitoring points. The construction strategy adjustment module is used to calculate the freezing uniformity index based on the number of abnormal monitoring points, and to adjust the liquid nitrogen freezing construction strategy in real time based on the freezing uniformity index. The data collection and optimization module is used to collect empirical data from the liquid nitrogen freezing construction site and adjust the sound velocity-temperature empirical correspondence table based on the empirical data.

9. An electronic device, characterized in that, The electronic device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the method according to any one of claims 1 to 7.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the method of any one of claims 1 to 7.

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