Full-automatic pressurized water recording system based on Internet of Things

Abstract

The invention discloses a full-automatic pressurized water recording system based on the Internet of Things, belongs to the technical field of the Internet of Things, and aims to solve the problem of pressure fluctuation caused by response lag and operation errors of a manual adjustment mode in traditional pressurized water operation. Comprising a construction parameter input module used for receiving construction parameters input by a user; the data acquisition module is used for acquiring real-time injection rate data and pipeline pressure data; the data processing module is used for calculating accumulated flow based on the real-time injection rate data and calculating gauge pressure and peak pressure based on the pipeline pressure data; the report generation and display module is used for generating a pressurized water record report according to the accumulated flow, the gauge pressure and the peak pressure and displaying a pressure and flow curve in real time; the self-adaptive PID control module is used for dynamically adjusting the rotating speed of the plunger pump so as to maintain the pipeline pressure within a target pressure range; and the safety protection module is used for outputting a shutdown instruction to stop operation of the plunger pump when it is detected that the pipeline pressure exceeds the safety pressure limit value.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of Internet of Things, and particularly relates to a full-automatic water pressure recording system based on Internet of Things. BACKGROUND

[0002] In the traditional water pressure operation process, the precision and adaptability of the pressure control system are always the key technical bottlenecks restricting the construction efficiency and safety. The manual adjustment mode commonly used in the current industry has significant defects: the operator needs to continuously observe the pressure gauge value and manually adjust the valve opening. This control mode depending on manual experience is prone to cause pipeline pressure fluctuations due to response lag or operation errors, which may cause pipeline rupture risk due to overpressure, and may affect the accuracy of water pressure test data due to insufficient pressure.

[0003] The disclosure of the above background art content is only used to assist in understanding the concept and technical solution of the present application, and it does not necessarily belong to the prior art of the present patent application. In the absence of explicit evidence that the above content has been disclosed on the filing date of the present patent application, the above background art should not be used to evaluate the novelty and inventiveness of the present application. SUMMARY

[0004] The present application provides a full-automatic water pressure recording system based on Internet of Things, which is used to solve the problem of pressure fluctuation caused by response lag and operation error of manual adjustment mode in traditional water pressure operation.

[0005] To achieve the above purpose, the embodiments of the present application disclose the following technical solutions:

[0006] A full-automatic water pressure recording system based on Internet of Things, comprising:

[0007] A construction parameter input module for receiving user input construction parameters, including hole number, section number, target pressure, safety pressure limit, rock mass permeability coefficient and operation type;

[0008] A data acquisition module for acquiring real-time injection rate data through an electronic scale sensor and acquiring pipeline pressure data through a pressure sensor;

[0009] A data processing module for calculating cumulative flow based on real-time injection rate data and calculating gauge pressure and peak pressure based on pipeline pressure data;

[0010] A report generation and display module for generating a water pressure recording report and displaying pressure and flow curves in real time according to cumulative flow, gauge pressure and peak pressure;

[0011] An adaptive PID control module for dynamically adjusting the speed of the plunger pump based on pipeline pressure data, real-time speed of the plunger pump, real-time injection rate data, rock mass permeability coefficient and operation type to maintain the pipeline pressure within the target pressure range.

[0012] A safety protection module is configured to output a shutdown instruction to stop the operation of the plunger pump when it is detected that the pipeline pressure exceeds the safety pressure limit.

[0013] In some possible embodiments, the adaptive PID control module comprises:

[0014] A data acquisition unit is configured to acquire the filtered real-time injection rate array and the filtered real-time pressure array;

[0015] A control algorithm unit is configured to call an adaptive proportional PID control method, and input parameters include the real-time injection rate, the filtered real-time injection rate array, the real-time pressure, the filtered real-time pressure array, the target pressure, the rock permeability coefficient, the operation type, the plunger pump operation state, the current rotation speed and the PID parameter mapping table;

[0016] A parameter selection unit is configured to dynamically select a proportional coefficient, an integral time constant and a differential time constant based on the PID parameter mapping table according to the operation type and the rock permeability coefficient;

[0017] An instruction generation unit is configured to generate a plunger pump rotation speed adjustment instruction according to an output result of the adaptive proportional PID control method and send the instruction to a plunger pump controller.

[0018] In some possible embodiments, the control algorithm unit comprises:

[0019] A proportional control calculation unit is configured to calculate a proportional control component according to a deviation value of the filtered real-time pressure array and the target pressure;

[0020] An integral control calculation unit is configured to calculate an integral control component according to a deviation accumulation value of the filtered real-time pressure array and the target pressure, and correct the integral gain in combination with the rock permeability coefficient;

[0021] A differential control calculation unit is configured to calculate a differential control component according to an instantaneous deviation change rate of the real-time pressure and the target pressure;

[0022] An adjustment amount generation unit is configured to superimpose the proportional control component, the integral control component and the differential control component to generate a plunger pump rotation speed adjustment amount.

[0023] In some possible embodiments, the data acquisition module comprises:

[0024] An injection rate acquisition unit is configured to continuously acquire injection fluid weight data through an electronic scale sensor at a preset first sampling frequency, and convert the weight data into a real-time injection rate according to a time interval and a weight difference value of adjacent two sampling points;

[0025] The pressure acquisition unit is configured to acquire pipeline pressure raw data at a preset second sampling frequency through a pressure sensor, and perform a sliding average filtering process on the raw data according to a sensor noise level to obtain pipeline pressure data.

[0026] In some possible implementation manners, the report generation and display module comprises:

[0027] The Lugeon value calculation unit is configured to calculate a current Lugeon value according to a formula Lugeon value = real-time injection rate / gauge pressure.

[0028] The data storage unit is configured to store the cumulative flow, the gauge pressure, the peak pressure and the Lugeon value in the database according to a time stamp.

[0029] The report generation unit is configured to extract all data of a current construction section to generate a water injection record report containing a water permeability evaluation.

[0030] The curve display unit is configured to draw the pipeline pressure data and the real-time injection rate data into dynamic curves and synchronously display the dynamic curves through an Internet of Things terminal.

[0031] In some possible implementation manners, the data storage unit comprises:

[0032] The data recording unit is configured to record the cumulative flow, the gauge pressure, the peak pressure and the Lugeon value in a piece-by-piece manner according to a preset time interval.

[0033] The data packet generation unit is configured to attach a hole number, a section number, a rock mass permeability coefficient and a construction time stamp to each record to generate a structured data packet.

[0034] The data uploading unit is configured to upload the structured data packet to a cloud database through an Internet of Things communication module, and receive a data verification result returned by the cloud.

[0035] In some possible implementation manners, the construction parameter input module comprises:

[0036] The format verification unit is configured to perform format verification on a hole number and a section number input by a user, and generate a parameter error prompt and return for re-input if the verification fails.

[0037] The logic verification unit is configured to perform logic verification on a target pressure and a safety pressure limit value, to ensure that the safety pressure limit value is greater than a preset proportion threshold of the target pressure.

[0038] The operation type recommendation unit is configured to associate a preset operation type recommendation list according to a geological classification interval to which a rock mass permeability coefficient belongs.

[0039] The conflict alarm unit is configured to trigger an operation type conflict alarm and request secondary confirmation when an operation type selected by a user does not match the recommendation list.

[0040] a parameter packaging unit configured to package the construction parameter that passes the verification into a structured parameter package and send the structured parameter package to the adaptive PID control module.

[0041] In some possible implementation manners, the parameter selection unit comprises:

[0042] a basic parameter extraction unit configured to extract a basic proportional coefficient, a basic integral time constant and a basic differential time constant from the PID parameter mapping table according to the operation type;

[0043] a correction factor calculation unit configured to calculate a proportional coefficient correction factor and an integral time correction factor according to the permeability grade interval to which the rock mass permeability coefficient belongs;

[0044] a proportional coefficient calculation unit configured to multiply the basic proportional coefficient by the proportional coefficient correction factor to obtain a final proportional coefficient;

[0045] an integral time calculation unit configured to divide the basic integral time constant by the integral time correction factor to obtain a final integral time constant;

[0046] a parameter group generation unit configured to keep the basic differential time constant unchanged and generate a PID parameter group comprising the final proportional coefficient, the final integral time constant and the basic differential time constant.

[0047] In some possible implementation manners, the integral control calculation unit comprises:

[0048] a deviation array calculation unit configured to calculate a difference between each element in the filtered real-time pressure array and the target pressure to obtain a pressure deviation array;

[0049] a deviation accumulation calculation unit configured to accumulate and sum the pressure deviation array to obtain a pressure deviation accumulation value;

[0050] a gain weight query unit configured to query a preset integral gain correction coefficient table according to the rock mass permeability coefficient to obtain a corresponding integral gain weight;

[0051] an integral component correction unit configured to multiply the pressure deviation accumulation value by the integral gain weight to obtain a corrected integral control component.

[0052] In some possible implementation manners, the data uploading unit comprises:

[0053] a verification result analysis unit configured to analyze a data verification result returned by the cloud to determine whether the structured data package is completely uploaded;

[0054] a data retransmission unit configured to trigger a local cache mechanism to repackage the data that fails to be successfully uploaded if the verification result is that the data package is missing or the verification code is incorrect.

[0055] The report generation unit is configured to generate a data integrity report according to the retransmission number threshold and the check failure type.

[0056] The abnormality alarm unit is configured to send a data storage abnormality alarm instruction to the Internet of Things terminal when the number of consecutive retransmission failures exceeds the preset threshold.

[0057] The one or more technical solutions provided by the embodiments of the present application have at least the following technical effects or advantages:

[0058] The construction parameter input module receives the construction parameters input by the user, including hole number, section number, target pressure, safety pressure limit, rock mass permeability coefficient and operation type, to provide the system with basic data for different construction scenes and geological conditions. The data acquisition module acquires real-time injection rate data through an electronic scale sensor and acquires pipeline pressure data through a pressure sensor, to realize real-time monitoring of key parameters in the construction process. The data processing module calculates cumulative flow based on real-time injection rate data and calculates gauge pressure and peak pressure based on pipeline pressure data, to provide processed data for subsequent control and analysis. The report generation and display module generates a water pressure record report and displays real-time pressure and flow curves based on cumulative flow, gauge pressure and peak pressure, to enable the construction personnel to intuitively understand the construction state.

[0059] The adaptive PID control module dynamically adjusts the speed of the plunger pump based on pipeline pressure data, real-time speed of the plunger pump, real-time injection rate data, rock mass permeability coefficient and operation type, to maintain the pipeline pressure in the target pressure range, solve the problem of pressure fluctuation caused by response lag and operation error in the manual adjustment mode, and enable the system to adapt to different geological conditions and construction standards through the rock mass permeability coefficient and operation type parameters, to improve the adaptability of the system. The safety protection module outputs a stop command to stop the operation of the plunger pump when detecting that the pipeline pressure exceeds the safety pressure limit, to avoid the risk of pipeline rupture caused by overpressure and enhance the construction safety.

[0060] Through the above technical solutions, the full-automatic water pressure recording system based on the Internet of Things realizes automatic processing of construction parameters, real-time acquisition and processing of key data, adaptive control of pressure and safety protection, solves the problems of low pressure control precision, poor adaptability and insufficient safety in traditional water pressure operation, and provides a more efficient, safer and more accurate solution for water pressure operation. BRIEF DESCRIPTION OF DRAWINGS

[0061] Figure 1 A data interaction schematic diagram between the modules of the full-automatic water pressure recording system based on the Internet of Things provided by some embodiments of the present application is shown in the figure.

[0062] Figure 2 for Figure 1 Schematic diagram of data interaction between various units of the adaptive PID control module shown in;

[0063] Figure 3 for Figure 2 Schematic diagram of data interaction between various units of the control algorithm unit shown in;

[0064] Figure 4 for Figure 1 Schematic diagram of data interaction between various units of the data acquisition module shown in;

[0065] Figure 5 for Figure 1 Schematic diagram of data interaction between the report generation and display modules shown in ;

[0066] Figure 6 for Figure 5 Schematic diagram of data interaction between the various units of the data storage unit shown in;

[0067] Figure 7 for Figure 1 Schematic diagram of data interaction between various units of the construction parameter input module shown in;

[0068] Figure 8 for Figure 2 Schematic diagram of data interaction between various units of the parameter selection unit shown in ;

[0069] Figure 9 for Figure 3 Schematic diagram of data interaction between the various units of the integral control calculation unit shown in;

[0070] Figure 10 for Figure 6 Schematic diagram of data interaction between various units of the data upload unit shown in . DETAILED DESCRIPTION

[0071] Specific embodiments of the present invention will now be mentioned in detail. Although the present invention is described in conjunction with these specific embodiments, it should be appreciated that the present invention is not intended to be limited to these specific embodiments. On the contrary, these embodiments are intended to cover substitutions, changes or equivalent embodiments that may be included in the spirit and scope of the invention defined by the claims. In the following description, a large amount of specific details are set forth to provide a comprehensive understanding of the present invention. The present invention can be implemented without some or all of these specific details. In other cases, in order not to make the present invention unnecessarily obscure, well-known process operations are not described in detail.

[0072] The singular forms "a," "an," and "the" include plural referents unless the context clearly dictates otherwise. 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.

[0073] Referring to Figure 1 The embodiment of the present application provides a full-automatic water injection recording system based on Internet of Things, which comprises:

[0074] A construction parameter input module 1 is configured to receive user-inputted construction parameters, including hole number, section number, target pressure, safety pressure limit, rock mass permeability coefficient and operation type.

[0075] A data acquisition module 2 is configured to acquire real-time injection rate data through an electronic scale sensor and acquire pipeline pressure data through a pressure sensor.

[0076] A data processing module 3 is configured to calculate cumulative flow based on the real-time injection rate data and calculate gauge pressure and peak pressure based on the pipeline pressure data.

[0077] A report generation and display module 4 is configured to generate a water injection recording report and display pressure and flow curves in real time according to the cumulative flow, gauge pressure and peak pressure.

[0078] An adaptive PID control module 5 is configured to dynamically adjust the rotational speed of the plunger pump based on the pipeline pressure data, real-time rotational speed of the plunger pump, real-time injection rate data, rock mass permeability coefficient and operation type, so as to maintain the pipeline pressure within the target pressure range.

[0079] A safety protection module 6 is configured to output a stop command to stop the plunger pump from running when it is detected that the pipeline pressure exceeds the safety pressure limit.

[0080] Referring to Figure 2 In some embodiments, the adaptive PID control module 5 comprises:

[0081] A data acquisition unit 51 is configured to acquire a filtered real-time injection rate array and a filtered real-time pressure array.

[0082] A control algorithm unit 52 is configured to call an adaptive proportional PID control method, and the input parameters include real-time injection rate, filtered real-time injection rate array, real-time pressure, filtered real-time pressure array, target pressure, rock mass permeability coefficient, operation type, plunger pump running state, current rotational speed and PID parameter mapping table.

[0083] The parameter selection unit 53 is configured to dynamically select the proportional coefficient, the integral time constant and the differential time constant according to the operation type and the rock mass permeability coefficient based on the PID parameter mapping table.

[0084] The instruction generation unit 54 is configured to generate the plunger pump rotating speed adjustment instruction according to the output result of the adaptive proportional PID control method and send the plunger pump rotating speed adjustment instruction to the plunger pump controller. The data acquisition unit 51 acquires the filtered real-time injection rate array and the filtered real-time pressure array, which can reduce the noise interference of the original data and improve the reliability of the input signal, and provide more accurate basic data for the control algorithm. The control algorithm unit 52 calls the adaptive proportional PID control method and inputs the parameters including the rock mass permeability coefficient and the operation type, so that the control algorithm can dynamically adjust the control strategy according to the specific working condition. The parameter selection unit 53 dynamically selects the proportional coefficient, the integral time constant and the differential time constant according to the operation type and the rock mass permeability coefficient based on the PID parameter mapping table, so that the PID control parameters can be matched with the geological conditions and the construction standards of the current operation, the problems of adjustment lag or over-adjustment of the fixed parameters in different working conditions can be avoided, the precision of the pressure control can be improved, and the adaptability of the system to diversified working conditions can be improved. The instruction generation unit 54 generates the plunger pump rotating speed adjustment instruction according to the output result of the adaptive proportional PID control method and sends the plunger pump rotating speed adjustment instruction to the plunger pump controller, so that the real-time adjustment of the plunger pump rotating speed can be realized, the pipeline pressure can be stabilized in the target range, the real-time performance and the effectiveness of the control process can be enhanced, the demand for manual intervention can be reduced, and the construction efficiency can be improved.

[0085] Please refer to Figure 3 In some embodiments, the control algorithm unit 52 includes:

[0086] The proportional control calculation unit 521 is configured to calculate the proportional control component according to the deviation value of the filtered real-time pressure array and the target pressure.

[0087] The integral control calculation unit 522 is configured to calculate the integral control component according to the accumulated deviation value of the filtered real-time pressure array and the target pressure, and correct the integral gain according to the rock mass permeability coefficient.

[0088] The differential control calculation unit 523 is configured to calculate the differential control component according to the instantaneous deviation change rate of the real-time pressure and the target pressure.

[0089] The adjustment amount generation unit 524 is configured to superimpose the proportional control component, the integral control component and the differential control component to generate the plunger pump speed adjustment amount. In this way, the pressure deviation can be quickly responded, the integral control can eliminate the steady-state error, and the differential control can predict the pressure change trend, thereby improving the pressure fluctuation suppression capability of the system. In addition, for different permeability formations, the integral gain can be corrected to adapt to the formation characteristics. In a high-permeability formation, the integral gain is automatically reduced to prevent integral saturation and cause pressure overshoot. In a low-permeability formation, the integral gain is increased to accelerate the pressure stabilization speed. Therefore, the system can more accurately control the pressure in different formation conditions, improve the pressure control precision and stability, and further improve the performance and reliability of the whole automatic water injection logging system based on the Internet of Things.

[0090] Referring to Figure 4 In some embodiments, the data acquisition module 2 comprises:

[0091] The injection rate acquisition unit 21 is configured to continuously acquire the injection fluid weight data through an electronic scale sensor at a preset first sampling frequency, and convert the time interval and weight difference of adjacent two sampling points into real-time injection rate. For example, the first sampling frequency can be, but is not limited to, 10 times per second.

[0092] The pressure acquisition unit 22 is configured to acquire pipeline pressure original data through a pressure sensor at a preset second sampling frequency, and select a sliding average filter window length according to the sensor noise level to perform sliding average filter processing on the original data to obtain pipeline pressure data. For example, the second sampling frequency can be, but is not limited to, 20 times per second.

[0093] Referring to Figure 5 In some embodiments, the report generation and display module 4 comprises:

[0094] The Lu Rong value calculation unit 41 is configured to calculate the current Lu Rong value according to the formula Lu Rong value = real-time injection rate / gauge pressure.

[0095] The data storage unit 42 is configured to store the cumulative flow, gauge pressure, peak pressure and Lu Rong value to the database according to the time stamp.

[0096] The report generation unit 43 is configured to extract all data of the current construction section to generate a water injection logging report containing water permeability evaluation.

[0097] The curve display unit 44 is used for drawing the pipeline pressure data and the real-time injection rate data as a dynamic curve and synchronously displaying through the Internet of Things terminal. The Lugeon value calculation unit 41 calculates the current Lugeon value according to the formula Lugeon value = real-time injection rate / gauge pressure, which provides a direct basis for the permeability evaluation of the water injection operation. The data storage unit 42 stores the cumulative flow, the gauge pressure, the peak pressure and the Lugeon value according to the time stamp to the database, realizes the structured management and the whole-process tracing of the construction data. The report generation unit 43 extracts all the data of the current construction section to generate the water injection record report containing the permeability evaluation, and outputs the operation results in the standardized format, reduces the error and the time consumption of the manual record. The curve display unit 44 draws the pipeline pressure data and the real-time injection rate data as a dynamic curve and synchronously displays through the Internet of Things terminal, so that the construction personnel can intuitively and timely master the change trend of the pressure and the flow, timely find the abnormal conditions in the construction process and adjust the operation strategy, thereby improving the standardization, the data accuracy and the construction efficiency of the water injection operation.

[0098] Please refer to Figure 6 In some embodiments, the data storage unit 42 comprises:

[0099] The data record unit 421 is used for recording the cumulative flow, the gauge pressure, the peak pressure and the Lugeon value according to the preset time interval. For example, the time interval can be but is not limited to 5 seconds.

[0100] The data packet generation unit 422 is used for attaching the hole number, the section number, the rock mass permeability coefficient and the construction time stamp to each record to generate a structured data packet.

[0101] The data uploading unit 423 is used for uploading the structured data packet to the cloud database through the Internet of Things communication module, and receiving the data verification result returned by the cloud.

[0102] Please refer to Figure 7 In some embodiments, the construction parameter input module 1 comprises:

[0103] The format verification unit 11 is used for performing the format verification on the hole number and the section number input by the user, and generating a parameter error prompt and returning to re-input if the verification fails. In this way, the system recognition abnormality or the data record confusion caused by the parameter format error can be avoided, and the accuracy of the basic parameters is guaranteed from the source.

[0104] The logic verification unit 12 is used for performing the logic verification on the target pressure and the safety pressure limit value, and ensuring that the safety pressure limit value is greater than the preset proportion threshold of the target pressure. In this way, the safety logic relationship between the pressure parameters can be established, the hidden danger of the overpressure risk caused by the contradictory parameter setting can be eliminated, and the basic guarantee for the construction safety is provided.

[0105] The operation type recommendation unit 13 is configured to associate a preset operation type recommendation list according to a geological classification interval to which the rock mass permeability coefficient belongs; in this way, the internal correlation between the geological parameter and the operation type can be utilized to provide intelligent selection reference for the user, and the probability of affecting the test result due to improper selection of the operation type can be reduced.

[0106] The conflict warning unit 14 is configured to trigger operation type conflict warning and request secondary confirmation when the operation type selected by the user does not match the recommendation list; in this way, the abnormal selection can be intervened through the man-machine interaction mode, unnecessary operation errors can be avoided, and the rationality of the operation type selection can be improved.

[0107] The parameter packaging unit 15 is configured to package the construction parameters that pass the verification into a structured parameter package and send the parameter package to the adaptive PID control module 5; in this way, it can be ensured that the front-end input parameters can be accurately parsed and called by the back-end control module.

[0108] Please refer to Figure 8 In some embodiments, the parameter selection unit 53 includes:

[0109] The basic parameter extraction unit 531 is configured to extract a basic proportional coefficient, a basic integral time constant and a basic differential time constant from the PID parameter mapping table according to the operation type;

[0110] The correction factor calculation unit 532 is configured to calculate a proportional coefficient correction factor and an integral time correction factor according to the permeability grade interval to which the rock mass permeability coefficient belongs;

[0111] The proportional coefficient calculation unit 533 is configured to multiply the basic proportional coefficient by the proportional coefficient correction factor to obtain a final proportional coefficient;

[0112] The integral time calculation unit 534 is configured to divide the basic integral time constant by the integral time correction factor to obtain a final integral time constant;

[0113] The parameter group generation unit 535 is configured to keep the basic differential time constant unchanged and generate a PID parameter group including the final proportional coefficient, the final integral time constant and the basic differential time constant; in this way, the system can automatically match the corresponding PID control parameters according to different operation types and rock mass permeability coefficients, manual parameter resetting and debugging for different geological conditions and construction standards are not needed, the adaptability of the system to diversified working conditions is improved, the proportional coefficient and the integral time constant can be reasonably controlled in different strata through dynamic adjustment, the pipeline pressure can be stabilized in the target range, the precision of the pressure control and the universality of the system are improved.

[0114] Please refer to Figure 9In some embodiments, the integral control calculation unit 522 comprises:

[0115] a deviation array calculation unit 5221 configured to calculate the difference between each element in the filtered real-time pressure array and the target pressure to obtain a pressure deviation array;

[0116] a deviation accumulation calculation unit 5222 configured to accumulate and sum the pressure deviation array to obtain a pressure deviation accumulation value;

[0117] a gain weight query unit 5223 configured to query a preset integral gain correction coefficient table according to the rock mass permeability coefficient to obtain a corresponding integral gain weight;

[0118] an integral component correction unit 5224 configured to multiply the pressure deviation accumulation value by the integral gain weight to obtain a corrected integral control component.

[0119] Referring to Figure 10 In some embodiments, the data uploading unit 423 comprises:

[0120] a verification result analysis unit 4231 configured to analyze the data verification result returned by the cloud to determine whether the structured data packet is completely uploaded;

[0121] a data retransmission unit 4232 configured to, if the verification result is a missing data packet or a verification code error, trigger a local cache mechanism to repackage the data that fails to be successfully uploaded;

[0122] a report generation unit 4233 configured to generate a data integrity report according to a retransmission number threshold and a verification failure type;

[0123] an exception alarm unit 4234 configured to, when the number of consecutive retransmission failures exceeds a preset threshold, send a data storage exception alarm instruction to the Internet of Things terminal.

[0124] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application and not to limit them; although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that: the specific embodiments of the present application can be modified or some technical features can be replaced by equivalent ones. Without departing from the spirit of the technical scheme of the present application, they should be covered in the technical scheme range of the present application claimed by the present application.

Claims

1. A fully automatic water pressure recording system based on the Internet of Things, characterized in that: include: A construction parameter input module is used to receive construction parameters input by the user, wherein the construction parameters include hole number, section number, target pressure, safety pressure limit, rock permeability coefficient and operation type; A data acquisition module is used to collect real-time injection rate data through an electronic scale sensor and pipeline pressure data through a pressure sensor; a data processing module, configured to calculate the accumulated flow rate based on the real-time injection rate data, and to calculate the gauge pressure and peak pressure based on the pipeline pressure data; A report generation and display module, for generating a water pressure record report and displaying pressure and flow curves in real time based on the accumulated flow, gauge pressure and peak pressure; an adaptive PID control module for dynamically adjusting the speed of the plunger pump based on the pipeline pressure data, the real-time speed of the plunger pump, the real-time injection rate data, the rock mass permeability coefficient, and the operation type so as to maintain the pipeline pressure within the target pressure range; The safety protection module is used to output a shutdown instruction to stop the operation of the plunger pump when it is detected that the pipeline pressure exceeds the safety pressure limit.

2. The fully automatic water pressure recording system based on the Internet of Things according to claim 1 is characterized in that: The adaptive PID control module includes: A data acquisition unit, used for acquiring a filtered real-time injection rate array and a filtered real-time pressure array; A control algorithm unit is used to call the adaptive proportional PID control method. The input parameters include real-time injection rate, filtered real-time injection rate array, real-time pressure, filtered real-time pressure array, target pressure, rock permeability coefficient, operation type, plunger pump operation status, current speed and PID parameter mapping table; a parameter selection unit for dynamically selecting a proportional coefficient, an integral time constant, and a differential time constant according to the operation type and the rock mass permeability coefficient based on the PID parameter mapping table; The instruction generation unit is used to generate a plunger pump speed adjustment instruction according to the output result of the adaptive proportional PID control method and send it to the plunger pump controller.

3. The fully automatic water pressure recording system based on the Internet of Things according to claim 2 is characterized in that: The control algorithm unit includes: a proportional control calculation unit, configured to calculate a proportional control component based on a deviation between the filtered real-time pressure array and the target pressure; An integral control calculation unit, configured to calculate an integral control component based on a cumulative deviation between the filtered real-time pressure array and the target pressure and a corrected integral gain in combination with a rock mass permeability coefficient; a differential control calculation unit, configured to calculate a differential control component according to a rate of change of an instantaneous deviation between the real-time pressure and the target pressure; The adjustment amount generating unit is used to superimpose the proportional control component, the integral control component and the differential control component to generate the plunger pump speed adjustment amount.

4. The fully automatic water pressure recording system based on the Internet of Things according to claim 1 is characterized in that: The data acquisition module includes: An injection rate acquisition unit is used to continuously acquire injected fluid weight data at a preset first sampling frequency through an electronic scale sensor, and convert the data into a real-time injection rate based on the time interval and weight difference between two adjacent sampling points; The pressure acquisition unit is used to collect pipeline pressure raw data at a preset second sampling frequency through a pressure sensor, select a sliding average filter window length according to the sensor noise level, perform sliding average filtering on the raw data, and obtain the pipeline pressure data.

5. The fully automatic water pressure recording system based on the Internet of Things according to claim 1 is characterized in that: The report generation and display module includes: A Lvrong value calculation unit is used to calculate the current Lvrong value according to the formula Lvrong value = real-time injection rate / gauge pressure; A data storage unit, configured to store the accumulated flow, gauge pressure, peak pressure and Lu Rong value in a database according to a timestamp; Report generation unit, used to extract all data of the current construction section and generate a water pressure record report including permeability evaluation; The curve display unit is used to draw the pipeline pressure data and real-time injection rate data into a dynamic curve, and display them synchronously through the Internet of Things terminal.

6. The fully automatic water pressure recording system based on the Internet of Things according to claim 5 is characterized in that: The data storage unit includes: A data recording unit, configured to record the accumulated flow, gauge pressure, peak pressure and Lu Rong value one by one according to a preset time interval; A data packet generation unit is used to add the hole number, section number, rock mass permeability coefficient and construction timestamp to each record to generate a structured data packet; The data uploading unit is used to upload the structured data packet to the cloud database through the Internet of Things communication module and receive the data verification result returned by the cloud.

7. The fully automatic water pressure recording system based on the Internet of Things according to claim 1 is characterized in that: The construction parameter input module includes: The format check unit is used to check the format of the hole number and segment number input by the user. If the check fails, a parameter error prompt will be generated and the user will be asked to re-enter the data. A logic check unit is used to perform logic check on the target pressure and the safety pressure limit to ensure that the safety pressure limit is greater than a preset proportional threshold of the target pressure; An operation type recommendation unit is used to associate a preset operation type recommendation list based on the geological classification interval to which the rock mass permeability coefficient belongs; A conflict alarm unit is used to trigger a job type conflict alarm and request a second confirmation when the job type selected by the user does not match the recommended list; The parameter encapsulation unit is used to encapsulate the verified construction parameters into a structured parameter package and send it to the adaptive PID control module.

8. The fully automatic water pressure recording system based on the Internet of Things according to claim 2 is characterized in that: The parameter selection unit includes: A basic parameter extraction unit is used to extract a basic proportional coefficient, a basic integral time constant, and a basic differential time constant from a PID parameter mapping table according to an operation type; A correction factor calculation unit is used to calculate a proportional coefficient correction factor and an integral time correction factor according to the permeability grade interval to which the rock mass permeability coefficient belongs; A proportional coefficient calculation unit, used for multiplying the basic proportional coefficient by the proportional coefficient correction factor to obtain a final proportional coefficient; An integration time calculation unit, used for dividing the basic integration time constant by the integration time correction factor to obtain a final integration time constant; The parameter group generating unit is used to keep the basic differential time constant unchanged and generate a PID parameter group including a final proportional coefficient, a final integral time constant and a basic differential time constant.

9. The fully automatic water pressure recording system based on the Internet of Things according to claim 3 is characterized in that: The integral control calculation unit includes: a deviation array calculation unit, used to calculate the difference between each element in the filtered real-time pressure array and the target pressure to obtain a pressure deviation array; The deviation accumulation calculation unit is used to accumulate and sum the pressure deviation array to obtain the pressure deviation accumulation value; A gain weight query unit is used to query a preset integral gain correction coefficient table according to the rock mass permeability coefficient to obtain a corresponding integral gain weight; The integral component correction unit is used to multiply the pressure deviation cumulative value by the integral gain weight to obtain a corrected integral control component.

10. The fully automatic water pressure recording system based on the Internet of Things according to claim 6 is characterized in that: The data uploading unit includes: The verification result parsing unit is used to parse the data verification results returned by the cloud and determine whether the structured data packet is uploaded completely; A data retransmission unit is used to trigger a local cache mechanism to repackage the data that was not successfully uploaded if the verification result is that the data packet is missing or the check code is wrong; A report generating unit, configured to generate a data integrity report based on a retransmission count threshold and a verification failure type; The abnormality alarm unit is used to send a data storage abnormality alarm instruction to the Internet of Things terminal when the number of consecutive retransmission failures exceeds a preset threshold.

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