A method and system for online monitoring of mud conduit pressure

Abstract

The present application relates to the technical field of building intelligent engineering construction, in particular to a mud pipeline pressure online monitoring method and system, at least comprising the following steps: a sampling step, sampling the pressure in the grouting pipeline by a diaphragm pressure sensor to form pressure sampling data; an uploading step, uploading the pressure sampling data of the diaphragm pressure sensing device to a cloud server after attaching a time stamp; a comparison step, comparing the pressure sampling data obtained from the cloud server with standard data by a background management terminal, and if the comparison result is wrong, the background management terminal performs an alarm operation. As a preferred embodiment of the present application, the side positioning device comprises a positioning groove connected to the inner side of the conveying track. The present application has the advantages of remote reading, automatic comparison and automatic alarm compared with the prior art which must directly monitor the pressure reading on site to ensure the quality of the project.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent building engineering construction, and in particular to a mud pipeline pressure online monitoring method and system. Background Art

[0002] Grouting is an essential process for the construction of roads, bridges, docks and other buildings. The quality of implementation of this step needs to be paid great attention to at the construction site, because it is directly related to the actual service life and safety of the construction project after completion. The existing construction management remains at the primary manual inspection method, that is, on-site construction personnel are required to read the pressure gauge installed on the grouting pipe, and then record the reading and compare it with the data in the construction standard. If it fails to meet the standards, the on-site processing will be suspended. The biggest problem with this method is that the human state is uncontrollable. At the same time, as a construction project site, its office environment is inevitably not very comfortable, which makes it easy for on-site inspectors to make mistakes. Furthermore, the construction process usually involves multiple grouting points being constructed simultaneously. If each grouting point is equipped with a dedicated inspector, it is a waste of human resources. If a single inspector or a small number of inspectors are used as an inspection team for on-site inspections, there is no way to accurately and timely check for instantaneous inaccuracies in the grouting process.

[0003] Existing technology has been used Summary of the Invention

[0004] The purpose of the present invention is to provide a method and system for online monitoring of mud pipeline pressure. The present invention solves the problems of the prior art by redesigning the structure, improves the digital collection and transmission capabilities of the equipment, greatly reduces human participation, and improves production efficiency.

[0005] The above technical objectives of the present invention are achieved through the following technical solutions:

[0006] A method for online monitoring of mud pipeline pressure, characterized by comprising at least the following steps:

[0007] a sampling step of sampling the pressure in the grouting pipe through a diaphragm pressure sensor to form pressure sampling data;

[0008] an uploading step of uploading the pressure sampling data of the diaphragm pressure sensor to a cloud server after attaching a timestamp;

[0009] In the comparison step, the backend management terminal compares the pressure sampling data obtained from the cloud server with the standard data. If the comparison result is an error, the backend management terminal performs an alarm operation. As a preferred embodiment of the present invention, the side positioning device includes a positioning groove connected to the inner side of the conveying track.

[0010] As a preferred embodiment of the present invention, the sampling step also includes performing video sampling of the grouting construction site and the diaphragm pressure sensor readings through a video monitoring device and forming on-site video data and reading video data respectively; the uploading step also includes uploading the on-site video data and the reading video data to a cloud server.

[0011] As a preferred embodiment of the present invention, in the comparison step, the pressure sampling data is first compared with the reading video data. If the comparison result is an error, data transmission fault processing is performed, and the reading video data is compared with the standard data. If the comparison result is an error, the background management terminal performs an alarm operation.

[0012] As a preferred embodiment of the present invention, it also includes a storage step, taking the upload time of the on-site video data as the reference point time, and taking the time before and after the reference point time shifted by a grace value as the merging point time, and the pressure sampling data uploaded at the merging point time and the reading video data and the on-site video data corresponding to the reference point time are packaged and stored as archived record data.

[0013] As a preferred embodiment of the present invention, the method for forming the reading video data is to upload the pictures taken by the reading camera to the cloud server, and the cloud server extracts the digital display numbers through the image recognition algorithm and saves the data.

[0014] As a preferred embodiment of the present invention, the alarm operation includes synchronously sending alarm information to the back-end background management terminal and the on-site background management terminal, and starting to record the feedback time of the feedback information made by the back-end background management terminal and the on-site background management terminal to the alarm information.

[0015] A mud pipeline pressure online monitoring system includes a pressure sampling device, a cloud server, a background management terminal and an on-site supervision terminal; the pressure sampling device includes the diaphragm pressure sensor;

[0016] The cloud server is used to save the pressure sampling data of the diaphragm pressure sensor and transmit it to the background management terminal and the on-site supervision terminal synchronously;

[0017] The diaphragm pressure sensor is used to sample the grouting pressure in the grouting pipe;

[0018] The background management terminal is used to display the pressure sampling data of the diaphragm pressure sensor, compare the pressure sampling data with the standard data, and display the comparison result, and perform an alarm operation when the comparison result is wrong;

[0019] The on-site monitoring terminal is used to display the pressure sampling data of the diaphragm pressure sensor, display the comparison result of the pressure sampling data with the standard data, and receive the alarm information issued by the background management terminal.

[0020] As a preferred embodiment of the present invention, it also includes a video monitoring device, which includes a field camera and a digital display camera. The field camera is used to monitor the scene where the diaphragm pressure sensor is located, and the digital display camera is used to monitor the digital display value of the digital display of the diaphragm pressure sensor. The shooting range of the digital display camera is limited to the display interface of the digital display.

[0021] As a preferred embodiment of the present invention, the pressure sampling device further comprises a three-way connector, the ports on opposite sides of the three-way connector are respectively connected to the feed pipe and the discharge pipe, and the ports of the three-way connector arranged perpendicular to the ports on opposite sides are connected to a diaphragm pressure sensor.

[0022] In summary, the present invention has the following beneficial effects:

[0023] Compared with the existing technology that requires on-site direct monitoring of pressure readings to ensure project quality, the present invention has the advantages of remote reading, automatic comparison, and automatic alarm.

[0024] The video monitoring combined with data monitoring provided by the present invention can effectively troubleshoot and correct on-site problems;

[0025] The video reading and computer reading method set up in the present invention can improve the data stability of the system by visual calibration data, and reduce the error rate to improve the overall reading accuracy of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 This is a flow chart of the method of this embodiment;

[0027] Figure 2 This is the system block diagram of this embodiment. DETAILED DESCRIPTION

[0028] The method for online monitoring of mud pipeline pressure in an embodiment of the present invention includes the following steps:

[0029] a sampling step of sampling the pressure in the grouting pipe through a diaphragm pressure sensor to form pressure sampling data;

[0030] Upload step: upload the pressure sampling data of the diaphragm pressure sensor to the cloud server after attaching a timestamp;

[0031] In the comparison step, the background management terminal compares the pressure sampling data obtained from the cloud server with the standard data. If the comparison result is wrong, the background management terminal performs an alarm operation. If the comparison result is correct, no processing is performed. The specific subsequent remedial operation content after the alarm operation in this application is formulated by the supervisor. The technical purpose of this application is to provide monitoring data and supervision basis for the supervisor. Therefore, the operation of the supervisor side is not specifically stated as the technical solution of this application. The alarm operation generally stops the construction process and then re-constructs according to the specific situation of grouting. In the statements involving comparison results in this application, the comparison results that are wrong are all cases where the comparison results are unequal, and correct are cases where they are equal. The standard data is a range data. If the value of the pressure sampling data is within the range, it is considered equal, that is, it is relatively correct. The standard data is provided by the engineering design party or the engineering supervisor. The formulation of standard data must be based on relevant national standards.

[0032] The sampling step also includes taking video samples of the grouting construction site and the diaphragm pressure sensor readings through the video monitoring device and forming on-site video data and reading video data respectively; the uploading step also includes uploading the on-site video data and the reading video data to the cloud server, and the on-site video data and the reading video data after uploading are saved in the cloud server for supervisors to supervise the actual situation on site. The existing data monitoring only solves the supervision problem from the data level, and lacks direct applicability in the construction process. Since the materials, labor and other resources involved in the construction are all high-cost items, if direct monitoring cannot be carried out on site, it is easy to be misled by erroneous data and is not conducive to the operation of the back-end learning mechanism. In the comparison step, the pressure sampling data is first compared with the reading video data. If the comparison result is an error, data transmission fault processing is performed. Data transmission fault processing includes on-site inspection and troubleshooting. If the on-site inspection and troubleshooting finds that there is no human error, the computer-side error of the pressure sampling data, such as transmission delay, is corrected, and the problem is saved as diagnostic data in the learning database as a diagnostic basis for subsequent computer automatic error correction. The reading video data is compared with the standard data. If the comparison result is an error, the background management terminal performs an alarm operation. The ultimate goal of the technical solution of the present application is to use pressure sampling data as the main comparison data, and to perform mechanical error correction using the reading video data as the pressure sampling data during the operation of the system. Mechanical error correction is to correct errors in the pressure sampling data by extracting the numbers in the reading video data and then comparing them with the pressure sampling data. The entire process does not require human intervention, and the traditional visual error correction that requires human intervention is changed to mechanical error correction implemented by the system. The operation of the learning mechanism completed in this error correction method also includes a storage step. The upload time of the on-site video data is used as the reference point time. The time before and after the reference point time is shifted by a grace value as the merging point time. The pressure sampling data uploaded at the merging point time and the reading video data are packaged and stored with the on-site video data corresponding to the reference point time as archived record data. The grace value is set in this application to three levels: 30 seconds, 1 minute, and 5 minutes. In actual use, the user can expand or reduce the specific time of the grace value according to the specific situation.Since there are a large number of uncertain situations at the actual construction site, and most of the situations have a causal relationship, simply saving all the data in a way that is bound to the same upload time will not be able to conduct a post-correlation investigation on the causal relationship, because the upload time of the data error must have occurred after the destructive action was completed. Therefore, this application adopts a grace value shifting method to stagger the time when the specific data was generated with the on-site video surveillance situation. During the post-correlation investigation, it is only necessary to find the time point when the data error occurred, and then the on-site video situation at the reference point time can be seen through the data in the archived records. According to the specific construction situation, the time of an operation that causes data error is usually between 30 seconds and 5 minutes. Therefore, the basic setting gear for determining the grace value is these three values. If the on-site video data in the current archived record data is found to be abnormal, the surveillance video within the range can be retrieved for investigation based on the investigation time range of the grace value as the benchmark. This method is mainly aimed at data misalignment caused by negligent operation, that is, the video judgment of a negligent action, rather than for the investigation of malicious, intentional radio frequency interference or data truncation, replacement and other destructive methods. The method for generating reading video data is to upload an image of the actual reading on the pressure gauge digital display board, taken by a reading camera, to a cloud server. The cloud server then extracts the digital display digits using an image recognition algorithm and stores the data. In the specific implementation of this application, it is preferred to use a cloud server provided by an existing cloud service platform. Therefore, the image recognition algorithm can directly use the algorithm corresponding to the image recognition service provided by the cloud server provided by the existing cloud service platform. Since the algorithm corresponding to this image recognition service is already existing technology, this application does not elaborate on it in detail.

[0033] The alarm operation includes sending alarm information to the back-end management terminal and the on-site management terminal simultaneously, and starting to record the feedback time of the back-end management terminal and the on-site management terminal to the alarm information as a basis for evaluating the processing efficiency of the supervisor.

[0034] In this embodiment, the mud pipeline pressure online monitoring system includes a pressure sampling device, a cloud server, a background management terminal and an on-site supervision terminal. The pressure sampling device includes the diaphragm pressure sensor, which is connected to the on-site network device via RS485. The network device is implemented using a PC that can be connected to the Internet. The network device uploads the pressure sampling data to the cloud server. The cloud server is connected to the on-site management terminal via the network and the background management terminal. The background management terminal is implemented using a PC, and the on-site management terminal is implemented using a smart phone or a handheld device that can install an APP; the cloud server is used to save the pressure sampling data of the diaphragm pressure sensor and transmit it synchronously to the back-end management terminal and the on-site supervision terminal; the diaphragm pressure sensor is used to sample the grouting pressure in the grouting pipeline; the background management terminal is used to display the pressure sampling data of the diaphragm pressure sensor, compare the pressure sampling data with the standard data, and display the comparison result. When the comparison result is wrong, an alarm operation is performed. The alarm operation includes sending an alarm message to the on-site monitoring terminal via an extended 5G module or other wireless communication module, and the backend management terminal itself issuing an on-site alarm and displaying a pop-up message. The on-site monitoring terminal is used to display the pressure sampling data of the diaphragm pressure sensor, compare the pressure sampling data with the standard data, and receive alarm messages from the backend management terminal. This embodiment abandons the traditional solution of using a cloud server for calculation and comparison and issuing alarm information from the cloud, and adopts the backend management terminal for comparison and alarm information issuance.

[0035] This embodiment also includes a video monitoring device, which includes a live camera and a digital display camera. The live camera is used to monitor the scene where the diaphragm pressure sensor is located, and the digital display camera is used to monitor the digital display value of the diaphragm pressure sensor's digital display. The digital display camera's shooting range is limited to the display interface of the digital display. The pressure sampling device also includes a three-way connector, the two opposite ports of the three-way connector are respectively connected to the feed pipe and the discharge pipe. The three-way connector is connected to the ports arranged perpendicular to the two opposite ports. The diaphragm pressure sensor is a digital pressure transmitter sensor, and its preferred selection is an RS485 communication interface. Since the digital diaphragm pressure transmitter sensor is a commercially available fourth-generation diaphragm pressure sensor, its specific implementation scheme is not elaborated in this embodiment.

[0036] This specific embodiment is merely an explanation of the present invention and is not intended to limit the present invention. After reading this specification, those skilled in the art may make non-creative modifications to this embodiment as needed. However, as long as such modifications are within the scope of the claims of the present invention, they are protected by patent law.

Claims

1. A method for online monitoring of mud pipeline pressure, characterized by: At least the following steps are included: a sampling step of sampling the pressure in the grouting pipe through a diaphragm pressure sensor to form pressure sampling data; an uploading step of uploading the pressure sampling data of the diaphragm pressure sensor to a cloud server after attaching a timestamp; In a comparison step, the backend management terminal compares the pressure sampling data obtained from the cloud server with the standard data. If the comparison result is an error, the backend management terminal performs an alarm operation. The sampling step also includes using a video monitoring device to sample the grouting construction site and the diaphragm pressure sensor reading respectively and form on-site video data and reading video data respectively; the uploading step also includes uploading the on-site video data and the reading video data to the cloud server. In the comparison step, the pressure sampling data is first compared with the reading video data. If the comparison result is an error, data transmission fault processing is performed. At the same time, the buzzer on the device emits an alarm sound and flashes a red light to warn, and the reading video data is compared with the standard data. If the comparison result is an error, the backend management terminal performs an alarm operation. The storage step also includes a step of using the upload time of the on-site video data as the reference point time, and the time before and after the reference point time shifted by a grace value as the merging point time. The pressure sampling data uploaded at the merging point time and the on-site video data corresponding to the reading video data and the reference point time are packaged and stored as archived record data.

2. The method for online monitoring of mud pipeline pressure according to claim 1, characterized in that: The method for forming the reading video data is to upload the pictures taken by the reading camera to the cloud server, and the cloud server extracts the digital display numbers through the image recognition algorithm and saves the data.

3. The method for online monitoring of mud pipeline pressure according to claim 1, characterized in that: The alarm operation includes sending alarm information to the back-end management terminal and the on-site management terminal simultaneously, and starting to record the feedback time of the back-end management terminal and the on-site management terminal in response to the alarm information.

4. A mud pipeline pressure online monitoring system for the method according to claim 1, characterized in that: It includes a pressure sampling device, a cloud server, a background management terminal and an on-site supervision terminal; the pressure sampling device includes the diaphragm pressure sensor; The cloud server is used to save the pressure sampling data of the diaphragm pressure sensor and transmit it to the background management terminal and the on-site supervision terminal synchronously; The diaphragm pressure sensor is used to sample the grouting pressure in the grouting pipe; The background management terminal is used to display the pressure sampling data of the diaphragm pressure sensor, compare the pressure sampling data with the standard data, and display the comparison result, and perform an alarm operation when the comparison result is wrong; The on-site monitoring terminal is used to display the pressure sampling data of the diaphragm pressure sensor, display the comparison result of the pressure sampling data with the standard data, and receive the alarm information issued by the background management terminal.

5. The mud pipeline pressure online monitoring system according to claim 4, characterized in that: It also includes a video monitoring device, which includes a field camera and a digital display camera. The field camera is used to monitor the scene where the diaphragm pressure sensor is located, and the digital display camera is used to monitor the digital display value of the digital display of the diaphragm pressure sensor. The shooting range of the digital display camera is limited to the display interface of the digital display.

6. The mud pipeline pressure online monitoring system according to claim 4, characterized in that: The pressure sampling device also includes a three-way connector, the ports on opposite sides of the three-way connector are respectively connected to the feed pipe and the discharge pipe, and the ports of the three-way connector arranged perpendicular to the ports on the opposite sides are connected to the diaphragm pressure sensor.

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