Mechanized improvement operation effect remote evaluation data acquisition and analysis system

Abstract

The invention discloses a mechanized improvement operation effect remote evaluation data acquisition and analysis system, and relates to the field of saline-alkali soil improvement, and the system comprises a sensing and acquisition module, a network transmission module and a remote analysis module. The remote analysis module is used for calculating an improvement effect comprehensive score of the working plot based on the soil salinity content and the soil pressure data; calculating the actual shear strength of the soil based on the operation mechanical parameters, and calculating the actual salt permeation rate of the operation plot based on the actual shear strength of the soil; and outputting an improvement operation effect evaluation report based on the improvement effect comprehensive score and the actual salt permeation rate. According to the method, the current operation improvement effect is quantified, meanwhile, the long-term behaviors such as the salt leaching depth and the salt return risk after irrigation / rainfall are evaluated, finally, the current improvement effect and the future permeation trend are synchronously presented in an evaluation report, and a scientific basis is provided for long-acting treatment of farmlands.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of saline-alkali soil improvement, in particular to a mechanical improvement operation effect remote evaluation data collection and analysis system. BACKGROUND

[0002] Mechanized improvement operation (such as deep plowing, rotary tillage, leaching, etc.) of saline-alkali soil and other degraded soils is an important means to improve the quality of cultivated land and ensure the sustainable development of agriculture. Currently, the improvement effect of such mechanized operation is mainly evaluated by offline manual detection methods. After the operation is completed, technical personnel need to manually collect soil samples at multiple points in the field, and then send them to the laboratory for physical and chemical analysis (such as measuring soil salt content, compactness, etc.).

[0003] The uploading, summarizing and analyzing process of data is lagging, which is difficult to monitor and evaluate the effect in real time during the operation process, and it is impossible to find problems (such as poor local improvement effect and substandard penetration rate) at the first time after the operation, so as to optimize and adjust the operation parameters or timely correct the subsequent operation plan.

[0004] This not only increases the cost of optimizing improvement, but also may miss the best improvement opportunity, ultimately affecting the precision, efficiency and intelligent development of mechanized soil improvement technology. SUMMARY

[0005] The purpose of the present application is to realize real-time remote evaluation of the effect of mechanized soil improvement operation, and to improve the improvement efficiency and resource utilization rate.

[0006] To achieve the above purpose, the present application provides a mechanical improvement operation effect remote evaluation data collection and analysis system, which comprises:

[0007] A sensing and collecting module is deployed on the operation machine for collecting soil salt content, soil pressure data and operation machine parameters during the operation process to obtain raw data;

[0008] A network transmission module is used to upload the raw data to a remote analysis module;

[0009] A remote analysis module is used to:

[0010] Receive the raw data and calculate the improvement effect comprehensive score of the operation plot based on the soil salt content and soil pressure data;

[0011] Calculate the actual shear strength of the soil based on the operation machine parameters, and calculate the actual salt penetration rate of the operation plot based on the actual shear strength of the soil;

[0012] Output an improvement operation effect evaluation report based on the improvement effect comprehensive score and the actual salt permeation rate.

[0013] Among them, the present application obtains the core parameters of the operation process through the sensing and collecting module: soil salt content and soil pressure data; the network transmission module realizes real-time data remote return; the remote analysis module calculates the improvement effect comprehensive score based on the soil salt content and soil pressure data to reflect the comprehensive effect of salt reduction and soil structure improvement, solving the problems of poor timeliness and low efficiency in traditional evaluation.

[0014] At the same time, the traditional soil improvement evaluation system only relies on static index score, resulting in that the evaluation result can only reflect the current improvement effect, but cannot predict the future salt permeation behavior, and cannot well guide the subsequent improvement operation. The present application calculates the actual salt permeation rate by inversely calculating the actual shear strength of soil based on the mechanical operation parameters, and finally outputs the evaluation report combining the improvement effect comprehensive score and the actual salt permeation rate, realizing the dual evaluation of immediate effect and long-term behavior.

[0015] Further, the calculation of the improvement effect comprehensive score of the operation plot based on the soil salt content and the soil pressure data comprises:

[0016] The soil salt reduction rate score is calculated based on the soil salt content of the plot before and after the operation;

[0017] The soil average pressure value and the soil pressure uniformity are calculated based on the soil pressure data of the plot after the operation, and the soil looseness score is calculated based on the soil average pressure value and the soil pressure uniformity;

[0018] The soil hardening area is identified based on the soil pressure data, and the hardening area elimination score is calculated based on the soil hardening area area of the plot before and after the operation;

[0019] The improvement effect comprehensive score is calculated based on the soil salt reduction rate score, the soil looseness score and the hardening area elimination score.

[0020] Among them, the traditional evaluation system often only considers a single index of soil physical and chemical properties. In the calculation of the improvement effect comprehensive score, the present application integrates multiple indexes: the soil salt reduction rate score reflects the removal efficiency of saline-alkali components; the soil looseness score reflects the improvement of soil physical structure by mechanical operation; and the hardening area elimination score reflects the breaking effect of the operation on hardening soil. The one-sidedness problem of single index evaluation is solved, and the improvement quality is comprehensively fed back from three dimensions of salt, structure and uniformity.

[0021] Further, the calculation formula of the soil pressure uniformity is:

[0022] ;

[0023] wherein, is the soil pressure uniformity, is the standard deviation of soil pressure value after operation, is the soil average pressure value.

[0024] wherein, the present application defines the soil pressure uniformity as the ratio of standard deviation and average value, the core principle of which is that if there are unbroken hard blocks or excessively loose areas in the soil after tillage, the pressure distribution will present high discreteness (value is large), resulting in high CV value. The index quantifies the degree of pressure distribution discreteness as a percentage value, providing a calculable and comparable mathematical basis for the bulk density score.

[0025] Further, the operation machine parameters include: rotary tillage tool set torque, tool disc diameter and blade length;

[0026] The formula for calculating the actual shear strength of the soil based on the operation machine parameters is:

[0027] ;

[0028] wherein, is the actual shear strength of the soil, is the torque of the rotary tillage tool set, is the tool disc diameter, is the blade length.

[0029] wherein, the actual shear strength of the soil is the key input for permeation rate calculation. Based on the principle of mechanics, the torque of the rotary tillage tool set reflects the soil shear resistance, which is related to the tool disc action area and blade length. The formula converts the mechanical parameters into soil strength parameters, realizing real-time calculation of soil shear strength during operation.

[0030] Further, the formula for calculating the actual salt permeation rate of the operation plot based on the actual shear strength of the soil is:

[0031] ;

[0032] wherein, is the actual salt permeation rate, is the basic salt permeation rate, is the calibration factor, is the reference shear strength of the soil.

[0033] wherein, the basic salt permeation rate ​is a static theoretical value obtained under the condition of ideal homogeneous soil (i.e. the benchmark shear strength measured in the laboratory) However, the structure of the soil in the actual work plot is highly heterogeneous due to mechanical disturbance, historical compaction, water content gradient, etc., which is manifested as the actual shear strength of the plot soil is uneven in spatial distribution. When the soil pores are compressed and the water channel is blocked, and the infiltration rate is reduced; when the soil pores are connected, the infiltration rate is improved. If the static is directly used to evaluate the leaching effect, it will lead to misjudgment of the evaluation result, and then affect the subsequent improvement process, for example, in area, leaching is also carried out according to , which will cause waste of water and fertilizer; while in area, it will lead to insufficient leaching. The above formula takes and as the benchmark, and quantifies the nonlinear influence of deviation on the salt infiltration rate through the calibration factor , which solves the problem of estimation deviation of the infiltration rate caused by ignoring the change of soil strength in the static model.

[0034] Further, the soil compaction area identified based on the soil pressure data comprises:

[0035] Based on the soil pressure data, identify local resistance points with pressure values higher than the surrounding area;

[0036] Mark the local resistance points as compaction areas.

[0037] Wherein, the compacted soil has high density and produces local resistance points to the pressure sensor. The present application realizes automatic identification of the compaction area by extracting the spatial distribution of the pressure data, locating the abnormal extreme points and marking them as compaction areas.

[0038] Further, the system further comprises a pressure data compensation module, which is used to correct the soil pressure data based on the soil water content;

[0039] The soil pressure data is corrected based on the soil water content, comprising:

[0040] Real-time monitoring of the soil water content of the work plot, if the soil water content exceeds the first preset threshold, the real-time temperature of the soil is obtained;

[0041] ​​​​Soil pressure data is corrected based on soil moisture content and real-time soil temperature.

[0042] When the soil moisture content is high, the viscosity of the water can cause deviations in the pressure sensor readings. Therefore, this system adds a pressure data compensation module. When the soil moisture content exceeds a threshold, it dynamically corrects the soil pressure data based on real-time soil temperature, resolving system errors caused by environmental interference and ensuring the reliability of calculations for parameters such as actual soil shear strength.

[0043] Furthermore, the formula for correcting soil pressure data based on soil moisture content and real-time soil temperature is as follows:

[0044] ;

[0045] in, To correct the pressure value, The original pressure value. For type coefficients, Real-time soil temperature Soil moisture content, As the reference temperature, The baseline moisture content is used.

[0046] in, This is the soil's plastic limit threshold. When the moisture content exceeds this value, the soil enters a fluid-plastic state, increasing pore water pressure and causing the total pressure received by the sensor to be significantly higher than that of dry soil. Simultaneously, real-time soil temperature changes affect water viscosity and particle swelling, further amplifying the reading deviation. In the above formula, when the moisture content... Exceed ,or ≠ At that time, environmental disturbance items As the absolute value increases, it is necessary to... Downward correction. This formula is based on the Terzaghi principle of effective stress in unsaturated soil mechanics, through... The temperature and humidity coupling effect is quantified into a linear compensation factor to solve the data distortion problem caused by environmental interference.

[0047] Furthermore, the pressure data compensation module is also used to perform a self-check operation on the pressure sensor subsidence.

[0048] The pressure sensor subsidence self-check operation includes:

[0049] With constant pressure The pressure sensor was pressed into the soil of the work site, and the actual depth of the pressure sensor was recorded. ;

[0050] Based on the actual shear strength of the soil Calculation in Under the influence of [the pressure sensor], the theoretical submersion depth [is...]. ;

[0051] If the actual sinking depth With the theoretical sinking depth If the absolute value of the difference exceeds the second preset threshold, then based on and Type coefficients Make corrections.

[0052] In some areas of the field soil, heterogeneous structures such as humus accumulation and root entanglement cause the actual rheological properties to deviate from the ideal, leading to inaccuracies in the aforementioned pressure correction formula. This system uses a constant pressure indentation sensor to measure the actual subsidence depth. This value reflects the soil's true resistance to deformation; it is also based on soil shear strength. Calculate the theoretical sinking depth .when and When the absolute value of the difference exceeds the second preset threshold, it indicates that the actual plastic deformation of the soil deviates from the theoretical prediction, and further action is needed. Make corrections.

[0053] Furthermore, the basis and Type coefficients The formula for correction is:

[0054] ;

[0055] in, This is the corrected type coefficient.

[0056] Among them, if Greater than This indicates that the soil is looser than ideally predicted, requiring a reduction in compensation intensity; if Less than This indicates that the soil is harder and requires increased compensation intensity.

[0057] One or more technical solutions provided by this invention have at least the following technical effects or advantages:

[0058] This invention calculates the salt reduction rate based on changes in soil salinity before and after treatment, and combines this with scores generated from pressure data to assess looseness and compaction elimination, constructing a comprehensive score for immediate improvement effects. This quantifies the chemical improvement and physical structure optimization effects of the current treatment. Simultaneously, it inverts the actual soil shear strength using mechanical treatment parameters and predicts the actual salt infiltration rate based on this shear strength, assessing long-term behaviors such as salt leaching depth and salt return risk after irrigation / rainfall. Ultimately, the assessment report simultaneously presents the current improvement effects and future infiltration trends, providing a scientific basis for long-term farmland management. Attached Figure Description

[0059] The accompanying drawings, which are provided to further illustrate embodiments of the invention and constitute a part of this invention, are not intended to limit the scope of the invention.

[0060] Figure 1 This is a schematic diagram of the composition of a remote evaluation data acquisition and analysis system for the effect of mechanized improved operations in this invention. Detailed Implementation

[0061] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, where there is no conflict, the embodiments of the present invention and the features thereof can be combined with each other.

[0062] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and therefore the scope of protection of the invention is not limited to the specific embodiments disclosed below.

[0063] Example 1

[0064] Embodiment 1 of the present invention provides a remote evaluation data acquisition and analysis system for the effect of mechanized improvement operations, the system comprising:

[0065] The sensing and data acquisition module is deployed on the operating machinery to collect data on soil salinity, soil pressure, and operating machinery parameters during the operation process, thereby obtaining raw data.

[0066] The network transmission module is used to upload the raw data to the remote analysis module;

[0067] The remote analysis module is used for:

[0068] The system receives the raw data and calculates a comprehensive score for the improvement effect of the work site based on soil salinity and soil pressure data.

[0069] The actual soil shear strength is calculated based on the parameters of the operating machinery, and the actual salt infiltration rate of the operating site is calculated based on the actual soil shear strength.

[0070] An evaluation report on the effectiveness of the improvement operation is output based on the comprehensive score of the improvement effect and the actual salt penetration rate.

[0071] Please refer to Figure 1 , Figure 1 This is a schematic diagram illustrating an embodiment of the system of the present invention. As shown in the figure, the system mainly includes a sensing and acquisition module, a network transmission module, and a remote analysis module. Raw data collected by the sensing and acquisition module is uploaded in real time to the remote analysis module via the network transmission module for processing and analysis.

[0072] The sensing and acquisition module includes a soil salinity sensor, which is mounted on the operating machinery via an existing robotic arm or suspension device to measure the soil salinity content of the plot during operation; it also includes a miniature pressure sensor array, which is installed in a grid pattern (such as a 1m x 1m grid) behind the roller or leveler to collect soil pressure data during operation; and a torque sensor, which is installed on the drive shaft of the rotary tiller to collect the torque of the rotary tiller blade assembly.

[0073] The remote analysis module is deployed on a cloud server and includes a data analysis engine. It performs real-time calculations of the comprehensive score of the improvement effect and the actual salt infiltration rate, and outputs an evaluation report on the effect of the improvement operation. The specific implementation method is the existing technology, and this invention does not impose too many limitations.

[0074] In some preferred embodiments, the improvement operation effectiveness evaluation report includes a comprehensive score for the improvement effect of the improved plot, the actual salt infiltration rate distribution of the plot, and the estimated depth to which salt will be leached based on the actual salt infiltration rate distribution (e.g., after 50mm irrigation, it is estimated that the main salts will be leached to a depth of 45cm). It also includes the risk level of future salt re-entry into the topsoil due to water evaporation, taking into account the predicted leaching depth, groundwater depth, and evaporation conditions. This report can be pushed to farmers or operation managers via a web interface or mobile app, providing accurate data support for their subsequent agricultural activities (such as irrigation and fertilization).

[0075] The comprehensive score for the improvement effect of the work site, calculated based on soil salinity and soil pressure data, includes:

[0076] Soil salinity reduction rate score is calculated based on soil salinity content before and after the operation.

[0077] The average soil pressure value and soil pressure uniformity are calculated based on the soil pressure data of the plot after the operation is completed. and the soil pressure uniformity ( ) Calculate and obtain the soil looseness score;

[0078] Soil compaction areas are identified based on soil pressure data, and the compaction area elimination score is calculated based on the area of ​​the soil compaction area before and after the operation.

[0079] The comprehensive score of the improvement effect is calculated based on the soil salinity reduction rate score, the soil looseness score, and the compaction area elimination score.

[0080] In this embodiment, the data before the operation is approximated as the data collected when the machine is tilling for the first time, and the data after the operation is approximated as the data when the machine is tilling for the last time. The tilling trajectory is determined based on the GNNS module installed on the machine, and then it is determined whether it is the first or the last tilling based on the tilling trajectory.

[0081] When calculating the soil salinity reduction rate score, this system reads the average salinity content at various locations on the plot before the operation. and the average salt content at various locations on the plot after the operation. Calculate the rate of salt reduction , And set the scoring rules: ≥30% earns 100 points, and deducts 5 points for every 1% decrease.

[0082] Calculate soil looseness score At that time, an empirical formula can be used: calculate.

[0083] When calculating the score for eliminating compacted areas, the system calculates the compacted areas of the plots before the operation. and the compacted area of ​​the land after the operation. Then calculate the elimination rate of the compacted area. , And set the scoring rules: ≥80% earns 100 points, and deducts 2 points for every 1% decrease.

[0084] Finally, the comprehensive score for the improvement effect is the weighted sum of the above three scores. The specific weights are set based on the experience of those skilled in the art, which is not the focus of this invention.

[0085] The formula for calculating the uniformity of soil pressure is as follows:

[0086] ;

[0087] in, The soil pressure uniformity is mentioned above. The standard deviation of soil pressure values ​​after the operation is completed. The average soil pressure value is given.

[0088] The parameters of the operating machinery include: rotary tiller blade assembly torque, blade diameter, and blade length;

[0089] The formula for calculating the actual shear strength of soil based on the parameters of the operating machinery is as follows:

[0090] ;

[0091] in, This represents the actual shear strength of the soil. The torque of the rotary tiller blade assembly, The diameter of the cutter head. This is the blade length.

[0092] The torque of the rotary tiller blade assembly is obtained through a torque sensor, and the diameter of the blade disc is... and blade length As fixed parameters of the machine, they can be pre-configured in the system.

[0093] The formula for calculating the actual salt infiltration rate of the work site based on the actual shear strength of the soil is as follows:

[0094] ;

[0095] in, This represents the actual salt permeation rate. Based on the basic salt permeation rate, For calibration factor, This is the baseline shear strength of the soil.

[0096] in, and Obtained through laboratory testing. Based on the experience of those skilled in the art, in this embodiment, Take 0.8.

[0097] The identification of soil compaction areas based on soil pressure data includes:

[0098] Based on the soil pressure data, local resistance points with pressure values ​​higher than those in the surrounding area are identified;

[0099] The local resistance points are marked as slab-forming regions.

[0100] In this embodiment, the system uses a clustering algorithm (such as DBSCAN) to identify local resistance points where the pressure value is significantly higher than the surrounding area (e.g., more than two standard deviations above the average pressure value). Connecting these points marks them as soil compaction areas.

[0101] Example 2

[0102] Based on Embodiment 1, the system further includes a pressure data compensation module, which is used to correct soil pressure data based on soil moisture content;

[0103] The correction of soil pressure data based on soil moisture content includes:

[0104] The soil moisture content of the work site is monitored in real time. If the soil moisture content exceeds the first preset threshold, the real-time soil temperature is obtained.

[0105] Soil pressure data is corrected based on soil moisture content and real-time soil temperature.

[0106] Among them, the soil moisture content is monitored in real time by a moisture content sensor, the soil temperature is obtained in real time by a temperature sensor, and the first preset threshold is preferably 25%.

[0107] The formula for correcting soil pressure data based on soil moisture content and real-time soil temperature is as follows:

[0108] ;

[0109] in, To correct the pressure value, The original pressure value. For type coefficients, Real-time soil temperature Soil moisture content, As the reference temperature, The baseline moisture content is used.

[0110] in, Different values ​​are used depending on the soil type; for example, 0.05 is used for clay and 0.02 for sandy soil. In some preferred embodiments, Take 25℃, Take 0.2.

[0111] The pressure data compensation module is also used to perform a self-check operation on the pressure sensor subsidence.

[0112] The pressure sensor subsidence self-check operation includes:

[0113] With constant pressure The pressure sensor was pressed into the soil of the work site, and the actual depth of the pressure sensor was recorded. ;

[0114] Based on the actual shear strength of the soil Calculation in Under the influence of [the pressure sensor], the theoretical submersion depth [is...]. ;

[0115] If the actual sinking depth With the theoretical sinking depth If the absolute value of the difference exceeds the second preset threshold, then based on and Type coefficients Make corrections.

[0116] In specific operation, a miniature linear actuator is used to maintain a constant pressure. Press the pressure sensor into the soil.

[0117] In this embodiment, the theoretical submersion depth The computational model can be simplified as follows: ,in, For shape factor, Let be the probe area of ​​the sensor. The value of and the second preset threshold can be set by those skilled in the art based on actual conditions. In addition to the above calculation formula, those skilled in the art may also choose other methods to calculate the theoretical sinking depth, and this invention does not limit this.

[0118] Wherein, the basis and Type coefficients The formula for correction is:

[0119] ;

[0120] in, This is the corrected type coefficient.

[0121] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0122] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A mechanized modified operation effect remote evaluation data collection and analysis system, characterized by, The system comprises: a sensing and collecting module deployed on the working machine, configured to collect soil salt content, soil pressure data and working machine parameters during the working process to obtain raw data; a network transmission module configured to upload the raw data to a remote analysis module; the remote analysis module is configured to: receive the raw data, and calculate a comprehensive improvement effect score of the working plot based on the soil salt content and the soil pressure data; calculate the actual shear strength of the soil based on the working machine parameters, and calculate the actual salt permeation rate of the working plot based on the actual shear strength of the soil; output an improvement working effect evaluation report based on the comprehensive improvement effect score and the actual salt permeation rate.

2. The mechanized modified work effect remote evaluation data collection and analysis system according to claim 1, characterized in that, The calculation of the comprehensive improvement effect score of the working plot based on the soil salt content and the soil pressure data comprises: calculating a soil salt reduction rate score based on the soil salt content of the plot before and after working; calculating a soil average pressure value and a soil pressure uniformity based on the soil pressure data of the plot after working, and calculating a soil looseness degree score based on the soil average pressure value and the soil pressure uniformity; identifying a soil hardening area based on the soil pressure data, and calculating a hardening area elimination score based on the area of the soil hardening area of the plot before and after working; calculating the comprehensive improvement effect score based on the soil salt reduction rate score, the soil looseness degree score and the hardening area elimination score.

3. The mechanized modified work effect remote evaluation data collection and analysis system according to claim 2, characterized in that, The formula for calculating the soil pressure uniformity is: ； wherein, is the soil pressure uniformity, is the standard deviation of the soil pressure values after the work is completed, is the average soil pressure value.

4. The mechanized modified work effect remote evaluation data collection and analysis system according to claim 1, characterized in that, The working machine parameters comprise: rotary tiller group torque, cutter diameter and blade length; The formula for calculating the actual shear strength of the soil based on the working machine parameters is: ； wherein, is the actual shear strength of the soil, is the torque of the rotary tillage tool set, is the diameter of the tool, is the length of the blade.

5. The mechanized modified work effect remote evaluation data collection and analysis system according to claim 4, characterized in that, The formula for calculating the actual salt permeation rate of the working plot based on the actual shear strength of the soil is: ； wherein, is the actual salt infiltration rate, is the base salt infiltration rate, is the calibration factor, is the baseline shear strength of the soil.

6. The mechanized modified work effect remote evaluation data collection and analysis system according to claim 1, characterized by, The identification of the soil hardening area based on the soil pressure data comprises: identifying local resistance points with pressure values higher than the surrounding area based on the soil pressure data; marking the local resistance points as hardening areas.

7. The mechanized modified work effect remote evaluation data collection and analysis system according to claim 4, characterized by, The system further comprises a pressure data compensation module configured to correct the soil pressure data based on soil moisture content; The correction of the soil pressure data based on the soil moisture content comprises: real-time monitoring of the soil moisture content of the working plot, and if the soil moisture content exceeds a first preset threshold, obtaining real-time soil temperature; correcting the soil pressure data based on the soil moisture content and the real-time soil temperature.

8. The mechanized modified work effect remote evaluation data collection and analysis system according to claim 7, characterized in that, The formula for correcting the soil pressure data based on the soil moisture content and the real-time soil temperature is: ； wherein, is a correction pressure value, is an original pressure value, is a type coefficient, is a real-time temperature of soil, is a soil moisture content, is a reference temperature, is a reference moisture content.

9. The mechanized modified work effect remote evaluation data collection and analysis system according to claim 8, characterized by, The pressure data compensation module is further configured to perform a pressure sensor sinking amount self-checking operation; The pressure sensor sinking amount self-checking operation comprises: With constant pressure Press the pressure sensor into the soil of the work site and record the actual sinking depth of the pressure sensor ; based on the actual shear strength of the soil the theoretical sinking depth of the pressure sensor under the action of the pressure sensor under the action of the pressure sensor under the action of If the actual sinking depth With the theoretical sinking depth If the absolute value of the difference exceeds the second preset threshold, then based on and Type coefficients Make corrections.

10. The mechanized modified work effect remote evaluation data collection and analysis system according to claim 9, characterized in that, The above-mentioned And The formula for correcting the type coefficient is: ； wherein is the modified type coefficient.

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