A temperature monitoring and management system for well freezing method construction

Abstract

The present invention relates to the technical field of freezing construction management, and specifically discloses a temperature monitoring and management system for in-well freezing method construction, including a thawing analysis module, which sets a number of monitoring directions based on the construction plan of the freezing area and the center point of the freezing area as a basis, and analyzes the thawing speed within the monitoring time according to the offset of the contour line within the monitoring period and the temperature difference of the boundary line within the monitoring period in each monitoring direction, and uploads the analysis result to the thawing management module. The present invention constructs an isothermal contour map and obtains the contour line through monitoring the surface temperature, and controls the thawing process with the change of the contour line and the temperature change of the boundary line corresponding to the contour line as the entry point. Compared with the traditional monitoring of drainage volume and sampling investigation, the present invention is more timely and convenient, can provide scientific and effective thawing suggestions for the thawing process, and reduces the thawing time.

Description

Technical Field

[0001] The invention relates to the technical field of freezing construction management, and in particular to a temperature monitoring and management system for freezing construction in a well. Background Art

[0002] Freezing construction is a construction process that freezes soil with high water content or complex soil conditions before carrying out other earthwork operations. It is a preparatory operation for construction safety. In-well freezing construction is usually used in underground projects such as tunnels and subways. By setting up freezing wells and laying Diego's horizontal and vertical freezing pipes, rapid freezing is achieved to improve the stability of the geological body and prevent groundwater infiltration. After the freezing construction is completed, a thawing process is required to restore the geological body to normal temperature and ensure the long-term stability and safety of the construction area. However, during the thawing process, if some types of soil thaw too quickly, problems such as thawing and settling will occur. In order to avoid problems such as thawing and settling, the thawing process of the construction unit often tends to be natural thawing, and natural thawing relies on the natural environment for thawing. For some projects, especially large projects, it often takes weeks or even months. Therefore, auxiliary heating during the thawing process is an effective means to improve construction efficiency.

[0003] However, the current process management and control of auxiliary heating thawing is not perfect enough. Generally, it is to monitor the temperature of the soil at several sampling points and the water flow of the drainage system during the thawing process, and set the corresponding critical value to judge whether the thawing speed is appropriate. Simply setting the critical value is not accurate enough, and the water flow of the drainage system has a lag in the reaction of the soil state. Therefore, in the later construction site inspection process after the partial thawing is completed, it is often necessary to take reinforcement or remedial measures for multiple abnormal situations in time. In view of this, the present invention proposes a temperature monitoring and management system for well freezing construction, which analyzes the freezing process, provides reasonable temperature control suggestions for the thawing process, and reduces abnormal situations in the later inspection process. Summary of the invention

[0004] The purpose of the present invention is to provide a temperature monitoring and management system for well freezing construction to solve the following technical problems:

[0005] How to analyze the freezing process and provide reasonable temperature control suggestions for the thawing process.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A temperature monitoring and management system for well freezing construction, comprising:

[0008] A first monitoring module, a second monitoring module, a thawing analysis module and a thawing management module, wherein the first monitoring module is used to monitor the surface temperature of the frozen area and the surrounding affected area, and the first monitoring module is preset with a target temperature and generates an isothermal contour map based on the target temperature outside the frozen area according to the monitoring data;

[0009] The second monitoring module includes a boundary monitoring unit and a contour monitoring unit, wherein the boundary monitoring unit is used to monitor the temperature of the geological body within the vertical range of the boundary line of the frozen area, and the contour monitoring unit is used to monitor the temperature of the geological body within the vertical range of the contour line of the isothermal contour map within a preset monitoring period;

[0010] The thawing analysis module sets a number of monitoring directions based on the construction plan of the frozen area and the center point of the frozen area, and analyzes the thawing speed within the monitoring time according to the offset of the contour line within the monitoring period and the temperature difference of the boundary line within the monitoring period in each monitoring direction. The analysis results include fast thawing speed, moderate thawing speed and slow thawing speed, and the analysis results are uploaded to the thawing management module;

[0011] The thawing management module includes a heating unit, in which a heat supply amount is preset. The thawing management module generates an adjustment plan for the heat supply amount of the heating unit in the next monitoring period after each monitoring period according to the analysis result and applies it to the next monitoring period.

[0012] Through the above technical scheme: a process of thawing management of frozen construction is provided. Specifically, the present invention constructs an isothermal contour map and obtains contour lines through monitoring the surface temperature, and uses the changes in contour lines and the temperature changes of boundary lines corresponding to the contour lines as entry points to control the thawing process. Compared with traditional monitoring of drainage volume and sampling surveys, the present invention is more timely and convenient, can provide scientific and effective thawing suggestions for the thawing process, and reduce thawing time.

[0013] As a further technical solution of the present invention: the process of setting a plurality of monitoring directions includes:

[0014] Obtaining a layout diagram of horizontal freezing pipes and vertical freezing pipes in a freezing area construction plan, and generating a freezing area and its boundary line based on the layout diagram;

[0015] The number of monitoring directions is set according to the shape of the frozen area and its boundary line in the top view.

[0016] As a further technical solution of the present invention: the process of obtaining the analysis result includes:

[0017] In each monitoring direction, a directional state coefficient is obtained according to the offset of the contour line in the monitoring period and the temperature difference of the boundary line in the monitoring period;

[0018] Perform qualification determination on multiple direction state coefficients, and generate thaw state coefficients based on the determination results, wherein the determination results include qualified and unqualified;

[0019] The thawing state coefficient is compared with the preset analysis interval. If the thawing state coefficient is on the right side of the analysis interval, the output analysis result is a fast thawing speed; if the thawing state coefficient is on the left side of the analysis interval, the output analysis result is a slow thawing speed; if the thawing state coefficient falls within the analysis interval, the output analysis result is a moderate thawing speed.

[0020] As a further technical solution of the present invention: the process of obtaining the directional state coefficient includes:

[0021] In a monitoring period, the offset and temperature difference are standardized, and the first power series model and the second power series model are constructed with the two processed data as independent variables.

[0022] Set weight coefficients for the first power series model and the second power series model respectively;

[0023] The direction state coefficient is calculated based on the first power series model and the second power series model and the weight coefficients set respectively.

[0024] As a further technical solution of the present invention: the process of obtaining the offset includes:

[0025] Construct a rectangular coordinate system in one monitoring direction during the current monitoring period;

[0026] Obtaining an isothermal contour map of the surface temperature outside the frozen area through the first monitoring module, and intercepting a contour line corresponding to the monitoring direction;

[0027] Based on the data obtained by the contour monitoring unit from monitoring the temperature of the geological body within the vertical range of the contour line of the isothermal contour map, the intercepted contour line is corrected to obtain a corrected contour;

[0028] Obtaining a portion of the boundary line corresponding to the monitoring direction and a sample function corresponding to the portion of the boundary line, and obtaining a target function based on the modified profile and the sample function, wherein the target function is obtained by translating the sample function in the same coordinate system and the integral difference between the target function and the sample function is the smallest;

[0029] Subtract the objective function of the current monitoring period from the objective function of the previous monitoring period to obtain the offset.

[0030] Through the above technical solution: first, the intercepted contour line is corrected to obtain the corrected contour, and then the target function is obtained based on the corrected contour. Both acquisition processes correct and optimize the data, reduce the impact of some data with large errors on the final result, and improve the accuracy of the offset as a parameter representing the thawed state.

[0031] As a further technical solution of the present invention: the process of obtaining the corrected contour includes:

[0032] Compare the current contour with the last credible contour in the same state;

[0033] Marking several parts of the current contour line that are different from the trusted contour to obtain a marked contour, and monitoring the marked contour through a contour monitoring unit;

[0034] The current contour line is corrected based on the monitoring results of the marked contour and the unmarked contour of the current contour in the contour monitoring unit:

[0035] If the temperature difference between the marked contour and the unmarked contour in the monitoring result is large, then the part of the marked contour is replaced by the corresponding part in the credible contour;

[0036] If the temperature difference between the marked contour and the non-marked contour in the monitoring result is not large, then the marked contour is retained;

[0037] The credible contour is the one that is closest in time to the current contour among several contours whose number of marked contours with the previous contour does not exceed a preset number.

[0038] As a further technical solution of the present invention: the process of generating a thawing state coefficient based on the determination result includes:

[0039] Compare the directional state coefficient with the preset critical value. If all directional state coefficients are greater than the critical value, the result is considered qualified, and the average value of all directional state coefficients is used as the thawing state coefficient.

[0040] If there is a direction state coefficient less than the critical value, the result is judged as unqualified, then several monitoring directions with direction state coefficients less than the critical value are obtained and a secondary judgment is performed, and different thawing state coefficients are output based on the secondary judgment results.

[0041] As a further technical solution of the present invention: the process of secondary determination includes:

[0042] like , then remove the directional state coefficients whose directional state coefficients are less than the critical value from all directional state coefficients, and output the average value of the remaining directional state coefficients as the unfrozen state coefficient;

[0043] like , then from the part where the selected directional state coefficient is less than the critical value, the average value of the selected directional state coefficient is output as the unfreezing state coefficient;

[0044] in, It is the sum of the angle values ​​of the monitoring directions corresponding to all directional state coefficients whose judgment results are unqualified. is the area between the contour line and the critical line in the first monitoring period, It is the preset safety area.

[0045] Through the above technical solution: a method for obtaining the thawing state coefficient under different judgment results is provided. Specifically, through a classified discussion method, a judgment result and a secondary judgment based on the judgment result are provided, and different scenarios are subdivided to maximize the possibility of avoiding misjudgment and causing abnormal situations in the later stage.

[0046] As a further technical solution of the present invention: generating an adjustment scheme for the amount of heat energy provided by the heating unit in the next monitoring period includes:

[0047] For the thawing state coefficient of the current monitoring period, according to the positional relationship between the thawing state coefficient and the analysis interval, the difference between the thawing state coefficient and the midpoint of the analysis interval is input into the trained first neural network model and the second neural network model, and the adjustment ratio with the highest probability is output respectively;

[0048] Based on the relationship between the thawing state coefficient and the analysis interval, one of the two adjustment ratios of the output is selected as an adjustment scheme for the amount of heat energy provided.

[0049] Beneficial effects of the present invention:

[0050] (1) The present invention constructs an isothermal contour map and obtains contour lines by monitoring the surface temperature, and uses the changes in the contour lines and the temperature changes of the boundary lines corresponding to the contour lines as entry points to control the thawing process. Compared with traditional monitoring of drainage volume and sampling surveys, the present invention is more timely and convenient, and can provide scientific and effective thawing suggestions for the thawing process, thereby reducing the thawing time.

[0051] (2) The present invention corrects and optimizes the data for obtaining the offset, reduces the impact of some data with large errors on the final result, and improves the accuracy of the offset as a parameter representing the thawing state.

[0052] (3) The present invention provides a judgment result and a secondary judgment based on the judgment result by means of classified discussion, subdivides different scenarios, and maximizes the possibility of avoiding misjudgment leading to the occurrence of abnormal situations in the later stage. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] The present invention will be further described below in conjunction with the accompanying drawings.

[0054] Figure 1 It is a schematic diagram of the composition relationship of the main modules of the present invention;

[0055] Figure 2It is a flow chart of the output relationship of the thawing state coefficient of the present invention. DETAILED DESCRIPTION

[0056] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0057] See also Figure 1 and Figure 2 As shown, in one embodiment, a temperature monitoring and management system for well freezing construction is provided, comprising:

[0058] A first monitoring module, a second monitoring module, a thawing analysis module and a thawing management module, wherein the first monitoring module is used to monitor the surface temperature of the frozen area and the surrounding affected area, and the first monitoring module is preset with a target temperature and generates an isothermal contour map based on the target temperature outside the frozen area according to the monitoring data;

[0059] The second monitoring module includes a boundary monitoring unit and a contour monitoring unit. The boundary monitoring unit is used to monitor the temperature of the geological body within the vertical range of the boundary line of the frozen area. The contour monitoring unit monitors the temperature of the geological body within the vertical range of the contour line of the isothermal contour map within a preset monitoring period.

[0060] The thawing analysis module sets several monitoring directions based on the construction plan of the frozen area and the center point of the frozen area, and analyzes the thawing speed within the monitoring time according to the offset of the contour line within the monitoring period and the temperature difference of the boundary line within the monitoring period in each monitoring direction. The analysis results include fast thawing speed, moderate thawing speed and slow thawing speed, and the analysis results are uploaded to the thawing management module;

[0061] The thawing management module includes a heating unit, in which the heat energy supply is preset. The thawing management module generates an adjustment plan for the heat energy supply of the heating unit in the next monitoring period after each monitoring period based on the analysis results and applies it to the next monitoring period.

[0062] In this embodiment, a process for thawing management of frozen construction is provided. Specifically, the present invention constructs an isothermal contour map and obtains contour lines by monitoring the surface temperature, and uses the changes in the contour lines and the temperature changes of the boundary lines corresponding to the contour lines as entry points to control the thawing process. Compared with traditional monitoring of drainage volume and sampling surveys, the present invention is more timely and convenient, can provide scientific and effective thawing suggestions for the thawing process, and reduce the thawing time.

[0063] The process of setting several monitoring directions includes:

[0064] Obtaining a layout diagram of horizontal freezing pipes and vertical freezing pipes in a freezing area construction plan, and generating a freezing area and its boundary line based on the layout diagram;

[0065] The number of monitoring directions is set according to the shape of the frozen area and its boundary line in the overhead state. The frozen area and its boundary line need to be designed according to the construction plan, usually including cylindrical and polygonal cylindrical shapes. When the image composed of the boundary lines in the overhead state is a polygonal cylindrical shape, the monitoring direction is the number of edges. When the image composed of the boundary lines in the overhead state is a cylindrical shape, the monitoring direction is set according to the complexity of the geology.

[0066] The process of obtaining the analysis results includes:

[0067] In each monitoring direction, a directional state coefficient is obtained according to the offset of the contour line in the monitoring period and the temperature difference of the boundary line in the monitoring period;

[0068] Perform qualification determination on multiple direction state coefficients, and generate thaw state coefficients based on the determination results, wherein the determination results include qualified and unqualified;

[0069] The thawing state coefficient is compared with the preset analysis interval. If the thawing state coefficient is on the right side of the analysis interval, the output analysis result is a fast thawing speed; if the thawing state coefficient is on the left side of the analysis interval, the output analysis result is a slow thawing speed; if the thawing state coefficient falls within the analysis interval, the output analysis result is a moderate thawing speed.

[0070] As an example, the process of obtaining the directional state coefficients includes:

[0071] In a monitoring period, the offset and temperature difference are standardized, and the first power series model and the second power series model are constructed with the two processed data as independent variables.

[0072] Set weight coefficients for the first power series model and the second power series model respectively;

[0073] The direction state coefficient is calculated according to the first power series model and the second power series model and the weight coefficients set respectively;

[0074] In this embodiment, the first power series model can be , the second power series model can be , and These are the results of standardizing the offset and temperature difference. The advantage of using the power series model is that, on the one hand, it is more accurate in data fitting. On the other hand, when the thawing speed is too fast or too slow, the power series model can quickly expand the values ​​at both ends, making it easier to judge the speed of the thawing.

[0075] The directional coefficient is calculated using the formula:

[0076]

[0077] in, is the directional state coefficient of the jth monitoring direction, and The weight coefficients are set for the first power series model and the second power series model in the jth monitoring direction, respectively. and are the series of the preset power series model, is the offset value of the contour line of the jth monitoring direction at the end of the ith monitoring period compared to the contour line position at the end of the previous monitoring period, is the first standard value set based on the preset monitoring period duration, is the temperature value of the boundary line at the end of the i-th monitoring period, It is The temperature value of the boundary line at the end of each monitoring period is is a second standard value set based on the preset monitoring period duration, and Both are greater than 1.

[0078] The process of obtaining the offset includes:

[0079] Construct a rectangular coordinate system in one monitoring direction during the current monitoring period;

[0080] Obtaining an isothermal contour map of the surface temperature outside the frozen area through the first monitoring module, and intercepting a contour line corresponding to the monitoring direction;

[0081] Based on the data obtained by the contour monitoring unit from monitoring the temperature of the geological body within the vertical range of the contour line of the isothermal contour map, the intercepted contour line is corrected to obtain a corrected contour;

[0082] Obtaining a portion of the boundary line corresponding to the monitoring direction and a sample function corresponding to the portion of the boundary line, and obtaining a target function based on the modified profile and the sample function, wherein the target function is obtained by translating the sample function in the same coordinate system and the integral difference between the target function and the sample function is the smallest;

[0083] Subtract the objective function of the current monitoring period from the objective function of the previous monitoring period to obtain the offset.

[0084] Before obtaining the offset, the intercepted contour line is first corrected to obtain the corrected contour, and then the target function is obtained based on the corrected contour. Both acquisition processes correct and optimize the data to reduce the impact of some data with large errors on the final result and improve the accuracy of the offset as a parameter representing the unfrozen state.

[0085] The process of obtaining the corrected contour includes:

[0086] Compare the current contour with the last credible contour in the same state;

[0087] Marking several parts of the current contour line that are different from the trusted contour to obtain a marked contour, and monitoring the marked contour through a contour monitoring unit, that is, setting some monitoring devices of the contour monitoring unit on the marked contour of the current contour. It should be noted that the number of monitored marked contours is preferably multiple to improve monitoring accuracy, and the average of multiple monitoring data is taken when comparing;

[0088] The current contour line is corrected based on the monitoring results of the marked contour and the unmarked contour of the current contour in the contour monitoring unit:

[0089] If the temperature difference between the marked contour and the unmarked contour in the monitoring result is large, then the part of the marked contour is replaced by the corresponding part in the credible contour;

[0090] If the temperature difference between the marked contour and the non-marked contour in the monitoring result is not large, then the marked contour is retained;

[0091] The credible contour is the one that is closest in time to the current contour among several contours whose number of marked contours does not exceed a preset number with the previous contour, and the number and validity of the credible contours are maintained in an iterative manner.

[0092] The process of generating the thawing state coefficient based on the determination result includes:

[0093] Compare the directional state coefficient with the preset critical value. If all directional state coefficients are greater than the critical value, the result is considered qualified, and the average value of all directional state coefficients is used as the thawing state coefficient.

[0094] If there is a direction state coefficient less than the critical value, the result is judged as unqualified, then several monitoring directions with direction state coefficients less than the critical value are obtained and a secondary judgment is performed, and different thawing state coefficients are output based on the secondary judgment results.

[0095] The secondary determination process includes:

[0096] like , then remove the directional state coefficients whose directional state coefficients are less than the critical value from all directional state coefficients, and output the average value of the remaining directional state coefficients as the unfrozen state coefficient;

[0097] like , then from the part where the selected directional state coefficient is less than the critical value, the average value of the selected directional state coefficient is output as the unfreezing state coefficient;

[0098] in, It is the sum of the angle values ​​of the monitoring directions corresponding to all directional state coefficients whose judgment results are unqualified. is the area between the contour line and the critical line in the first monitoring period, It is a preset safety area. That is to say, it is determined through big data that when the area affected by unqualified monitoring directions is very small, it cannot cause melting and sinking problems, and these unqualified monitoring directions are not considered, thereby avoiding the mutual neutralization problem of extreme data and highlighting the state of thawing itself.

[0099] Through the above technical solution: in this embodiment, a method for obtaining the thawing state coefficient under different judgment results is provided. Specifically, through a classified discussion method, a judgment result and a secondary judgment based on the judgment result are provided, and different scenarios are subdivided to maximize the possibility of avoiding misjudgment and causing abnormal situations in the later stage.

[0100] The adjustment plan for the amount of heat energy provided by the heating unit during the next monitoring period includes:

[0101] For the thawing state coefficient of the current monitoring period, according to the positional relationship between the thawing state coefficient and the analysis interval, the difference between the thawing state coefficient and the midpoint of the analysis interval is input into the trained first neural network model and the second neural network model, and the adjustment ratio with the highest probability is output respectively;

[0102] Based on the relationship between the thawing state coefficient and the analysis interval, one of the two adjustment ratios output is selected as the adjustment scheme for the amount of heat energy provided. The ways of providing heat energy include heating pipes, hot grouting, etc. The control of the amount of heat energy provided can be achieved by using different amounts of materials for the same problem.

[0103] Combined with the corresponding historical data, the first neural network model uses all the thawed state coefficients on the right side of the analysis interval as input, and uses the appropriate adjustment ratio recorded in the actual process as output to train the first neural network model; similarly, the second neural network model uses all the thawed state coefficients on the left side of the analysis interval in the historical data as input, and uses the corresponding appropriate adjustment ratio as output to train the first neural network model.

[0104] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A temperature monitoring and management system for well freezing construction, comprising a first monitoring module, a second monitoring module, a thawing analysis module and a thawing management module, characterized in that: The first monitoring module is used to monitor the surface temperature of the frozen area and the surrounding affected areas. The first monitoring module is preset with a target temperature and generates an isothermal contour map based on the target temperature outside the frozen area according to the monitoring data; The second monitoring module includes a boundary monitoring unit and a contour monitoring unit, wherein the boundary monitoring unit is used to monitor the temperature of the geological body within the vertical range of the boundary line of the frozen area, and the contour monitoring unit is used to monitor the temperature of the geological body within the vertical range of the contour line of the isothermal contour map within a preset monitoring period; The thawing analysis module sets a number of monitoring directions based on the construction plan of the frozen area and the center point of the frozen area, and analyzes the thawing speed within the monitoring time according to the offset of the contour line within the monitoring period and the temperature difference of the boundary line within the monitoring period in each monitoring direction. The analysis results include fast thawing speed, moderate thawing speed and slow thawing speed, and the analysis results are uploaded to the thawing management module; The thawing management module includes a heating unit, in which a heat supply amount is preset. The thawing management module generates an adjustment plan for the heat supply amount of the heating unit in the next monitoring period after each monitoring period according to the analysis result and applies it to the next monitoring period; The process of obtaining the offset includes: Construct a rectangular coordinate system in one monitoring direction during the current monitoring period; Obtaining an isothermal contour map of the surface temperature outside the frozen area through the first monitoring module, and intercepting a contour line corresponding to the monitoring direction; Based on the data obtained by the contour monitoring unit from monitoring the temperature of the geological body within the vertical range of the contour line of the isothermal contour map, the intercepted contour line is corrected to obtain a corrected contour; Obtaining a portion of the boundary line corresponding to the monitoring direction and a sample function corresponding to the portion of the boundary line, and obtaining a target function based on the modified profile and the sample function, wherein the target function is obtained by translating the sample function in the same coordinate system and the integral difference between the target function and the sample function is the smallest; Subtract the objective function of the current monitoring period from the objective function of the previous monitoring period to obtain an offset; The process of obtaining the corrected contour includes: Compare the current contour with the last credible contour in the same state; Marking several parts of the current contour line that are different from the trusted contour to obtain a marked contour, and monitoring the marked contour through a contour monitoring unit; The current contour line is corrected based on the monitoring results of the marked contour and the unmarked contour of the current contour in the contour monitoring unit: If the temperature difference between the marked contour and the unmarked contour in the monitoring result is large, the marked contour is replaced with the corresponding part in the credible contour; If the temperature difference between the marked contour and the non-marked contour in the monitoring result is not large, then the marked contour is retained; The credible contour is the one that is closest in time to the current contour among several contours whose number of marked contours with the previous contour does not exceed a preset number.

2. A temperature monitoring and management system for well freezing construction according to claim 1, characterized in that: The process of setting up several monitoring directions includes: Obtaining a layout diagram of horizontal freezing pipes and vertical freezing pipes in a freezing area construction plan, and generating a freezing area and its boundary line based on the layout diagram; The number of monitoring directions is set according to the shape of the frozen area and its boundary line in the top view.

3. A temperature monitoring and management system for well freezing construction according to claim 1, characterized in that: The process of obtaining analysis results includes: In each monitoring direction, a directional state coefficient is obtained according to the offset of the contour line in the monitoring period and the temperature difference of the boundary line in the monitoring period; Perform qualification determination on multiple direction state coefficients, and generate thaw state coefficients based on the determination results, wherein the determination results include qualified and unqualified; The thawing state coefficient is compared with the preset analysis interval. If the thawing state coefficient is on the right side of the analysis interval, the output analysis result is a fast thawing speed; if the thawing state coefficient is on the left side of the analysis interval, the output analysis result is a slow thawing speed; if the thawing state coefficient falls within the analysis interval, the output analysis result is a moderate thawing speed.

4. A temperature monitoring and management system for well freezing construction according to claim 3, characterized in that: The process of obtaining the directional state coefficients includes: In a monitoring period, the offset and temperature difference are standardized, and the first power series model and the second power series model are constructed with the two processed data as independent variables. Set weight coefficients for the first power series model and the second power series model respectively; The direction state coefficient is calculated based on the first power series model and the second power series model and the weight coefficients set respectively.

5. A temperature monitoring and management system for well freezing construction according to claim 4, characterized in that: The process of generating the thawing state coefficient based on the determination result includes: Compare the directional state coefficient with the preset critical value. If all directional state coefficients are greater than the critical value, the result is considered qualified, and the average value of all directional state coefficients is used as the thawing state coefficient. If there is a direction state coefficient less than the critical value, the result is judged as unqualified, then several monitoring directions with direction state coefficients less than the critical value are obtained and a secondary judgment is performed, and different thawing state coefficients are output based on the secondary judgment results.

6. A temperature monitoring and management system for well freezing construction according to claim 5, characterized in that: The secondary determination process includes: like , then remove the directional state coefficients whose directional state coefficients are less than the critical value from all directional state coefficients, and output the average value of the remaining directional state coefficients as the unfrozen state coefficient; like , then from the part where the selected directional state coefficient is less than the critical value, the average value of the selected directional state coefficient is output as the unfreezing state coefficient; in, It is the sum of the angle values ​​of the monitoring directions corresponding to all directional state coefficients whose judgment results are unqualified. is the area between the contour line and the critical line in the first monitoring period, It is the preset safety area.

7. A temperature monitoring and management system for well freezing construction according to claim 6, characterized in that: The adjustment plan for the amount of heat energy provided by the heating unit during the next monitoring period includes: For the thawing state coefficient of the current monitoring period, according to the positional relationship between the thawing state coefficient and the analysis interval, the difference between the thawing state coefficient and the midpoint of the analysis interval is input into the trained first neural network model and the second neural network model, and the adjustment ratio with the highest probability is output respectively; Based on the relationship between the thawing state coefficient and the analysis interval, one of the two adjustment ratios of the output is selected as an adjustment scheme for the amount of heat energy provided.

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