A method for collecting slot milling machine construction data

Abstract

The application relates to a method for collecting milling machine construction data, which comprises the following steps: a work control device accesses a power supply signal of the milling machine; the work control device accesses a hot spot signal of the milling machine; the work control device sends a data signal; an external system accesses a normal parameter interface of the work control device; the external system accesses a prewarning parameter interface of the work control device; prewarning type data, power supply prewarning state, equipment performance prewarning state, deviation correction prewarning state and key accessory state are read; and the external system accesses a slotting progress parameter interface. The method for collecting milling machine construction data can realize automatic collection of various personnel operation data and slotting process data generated in the slotting process, can perform remote data storage and analysis, and can maintain stable data collection and transmission capacity. The method solves the problems of poor stability and real-time performance in the data collection process influenced by the construction external environment.

Description

Technical Field

[0001] This invention relates to an automated data acquisition method for trenching machine construction, and particularly to a method for customizing an industrial control computer, designing a system, and installing it on-site, for real-time monitoring and data acquisition of the trenching machine's working status. Background Technology

[0002] In the current municipal construction environment, trenching machines are important equipment specifically used for diaphragm wall construction. During the trenching process, various personnel operation data and trenching process data are generated. However, only the operator can view the current data in real time; historical data cannot be viewed on-site, and management personnel cannot perform remote data storage and analysis. Currently, cameras are mainly installed inside the trenching machine to collect data by taking pictures and transmitting it back to the backend for analysis. Due to the influence of the external construction environment, the stability and real-time performance of the data collection process are difficult to guarantee. In practice, if we want to obtain stable and effective data collection by embedding equipment, we will encounter the following problems.

[0003] 1. The trenching machine does not provide a PLC interface, and due to the lack of communication protocols, it is difficult to integrate into an automation system; 2. The trenching machine has a short construction cycle and the equipment is not fixed in position during the trenching process, making it impossible to build a fixed network facility to transmit data.

[0004] 3. The grooving process of milling machines lacks standardization and universality in terms of equipment performance parameters;

[0005] 4. During the construction process, the environment of the milling machine is harsh, making it difficult to maintain stable data acquisition and transmission capabilities. Summary of the Invention

[0006] The present invention provides a method for collecting construction data of a milling machine, which enables the automated collection of various personnel operation data and milling process data generated during the milling process, and performs remote data storage and analysis.

[0007] To achieve the above objectives, the technical solution of the present invention is: a method for collecting construction data of a trenching machine, comprising the following steps:

[0008] Step 1: Connect the industrial control equipment to the milling machine power signal.

[0009] Connect the milling machine's own power signal directly to the milling machine via an embedded industrial control computer, add the option to monitor the milling machine's power signal, and establish power signal initialization parameters. The initialization parameters include equipment operating status, fault status, monitoring power signal parameters, and remote link log parameters.

[0010] Step 2: Connect the industrial control equipment to the hotspot signal of the milling machine.

[0011] The information of the milling machine screen is obtained by accessing the built-in VNC Server through the built-in WIFI signal of the milling machine or by implanting an additional program. The image is then identified by OCR technology, and three types of error features are collected: warning, normal, and error. For the error image, it is determined whether to parse it. The warning image is recorded as a warning category, and the image results are stored in the initial parameters, which include the collection time, image type, image information, image path, and whether to parse it.

[0012] Step 3: Industrial control equipment sends data signals

[0013] 1) Add a GPRS module to send power signal parameters and access signal parameters via 4G signal;

[0014] 2) Initialize the network signal source to prevent the hotspot signal from becoming unstable and causing the Wi-Fi signal to be interrupted during the construction process when the milling machine is connected to the hotspot and Wi-Fi signal;

[0015] Step 4: Connect the external system to the industrial control computer's normal parameter interface.

[0016] 1) Push the device network interface and initialize basic parameters, including collector number, collector name, collector MAC address, device access interface, and device signal status;

[0017] 2) After successfully connecting to the network, start pushing power signal parameters to ensure power stability;

[0018] 3) When the equipment starts, it begins reading normal type parameters and pushes milling wheel box parameters, mud pump parameters, gearbox parameters, trenching machine performance parameters, and construction quality parameters. Among them, milling wheel box parameters include: milling wheel pressure and milling wheel speed; mud pump parameters include: mud pump hydraulic oil pressure, mud pump flow rate, and mud pump speed; gearbox parameters include: gearbox pressure and gearbox temperature; trenching machine performance parameters include: external pressure, drain pressure, load weight, and feed speed; construction quality parameters include: correction parameters include: milling head x-direction angle, milling head y-direction angle, and weight on the milling head wire rope.

[0019] 4) The device network interface calls data parameters using a public dataset;

[0020] Step 5: Connect the external system to the industrial control computer's early warning parameter interface, and read the early warning type data, including power supply early warning status, equipment performance early warning status, correction early warning status, and key component status.

[0021] Step 6: Connect external systems to the trenching progress parameter interface

[0022] 1) Receive external system parameters: trench depth;

[0023] 2) Based on the actual trenching depth, determine if there are invalid states in the process and remove invalid parameters; characteristics of invalid parameters include correction parameter status, equipment performance warning status, power supply warning status, and critical component warning status.

[0024] 3) Push valid trenching progress parameters: data collection time and data collection depth;

[0025] Furthermore, in step one, due to power fluctuations during the construction of the milling machine, the milling machine needs to be connected to a standard wide pressure plate with 12V, 24V, and 36V.

[0026] Furthermore, in step three, when initializing the network signal source:

[0027] (1) Customize an external slot to facilitate the insertion and removal of the data card and prevent 4G signal loss;

[0028] (2) Since the hotspot source is an internal signal, it is easy to conflict with the 4G signal source during construction, resulting in the inability to send signals. By automatically controlling the network signal, the 4G signal is given high priority to ensure the stability of the received signal.

[0029] 3) Multiple unstable connection sources appeared in the industrial control equipment, causing network interruption during construction. Remote initialization was required to ensure the stability of the received signal.

[0030] Furthermore, the effective parameters in step six refer to the value from 0 to the actual depth during a single milling process, without any bucket lifting action caused by an accident.

[0031] The beneficial effects of this invention are:

[0032] The method for collecting construction data from a milling machine according to the present invention can automatically collect various personnel operation data and milling process data generated during the milling process, perform remote data storage and analysis, and maintain stable data collection and transmission capabilities. It solves the problems of instability and poor real-time performance during data collection caused by the influence of the external construction environment. Attached Figure Description

[0033] Figure 1 This is a block diagram illustrating the principle of the method for collecting construction data of a milling machine according to the present invention. Detailed Implementation

[0034] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0035] like Figure 1 As shown, a method for collecting construction data of a trenching machine according to the present invention includes the following steps:

[0036] Step 1: Connect the industrial control equipment to the milling machine power signal.

[0037] The milling machine's own power signal is directly connected to the milling machine via an embedded industrial control computer. Due to power fluctuations during milling machine operation, the hardware design requires, according to the standard connection requirements, the addition of a wide-voltage board (12V, 24V, 36V) to allow monitoring of the milling machine's power signal, and the establishment of power signal initialization parameters. (Initialization parameters: equipment operating status, fault status, monitoring power signal parameters, remote link log parameters);

[0038] Step 2: Connect the industrial control equipment to the hotspot signal of the milling machine.

[0039] The information of the milling machine screen is obtained by accessing the built-in VNC Server through the built-in WIFI signal of the milling machine or by implanting an additional program. The images are collected by recognizing them into three types of features (warning, normal, and error) using OCR technology. For images with errors, it is determined whether to parse them. The warning image category is recorded and the image results are stored in the initial parameters (initial parameters: collection time, image type, image information, image path, and whether to parse).

[0040] Step 3: Industrial control equipment sends data signals

[0041] 1. Add a GPRS module to send data parameters via 4G signal (the parameters mainly include: power signal parameters and access signal parameters);

[0042] 2. Initialize the network signal source. During construction, the hotspot signal may become unstable, sometimes causing the Wi-Fi signal to be interrupted.

[0043] 1) Customize an external slot for easy insertion and removal of the data SIM card, preventing 4G signal loss;

[0044] 2) Since the hotspot source is an internal signal, it is easy to conflict with the 4G signal source during construction, resulting in the inability to send signals. By automatically controlling the network signal, the 4G signal is given high priority to ensure the stability of the received signal.

[0045] 3. It may have multiple unstable connection sources, which may cause network interruptions during construction. Remote initialization is required to ensure the stability of the received signal.

[0046] Step 4: Connect the external system to the industrial control computer's normal parameter interface.

[0047] 1) Push the device network interface and initialize basic parameters (collector number, collector name, collector MAC address, device access interface, device signal status);

[0048] 2) After successfully connecting to the network, start pushing power signal parameters to ensure power stability (initialization parameters: device operating status, fault status, monitoring power signal parameters, remote connection log parameters);

[0049] 3) When the equipment starts up, it begins reading normal type parameters and pushes milling wheel box parameters, mud pump parameters, gearbox parameters, trenching machine performance parameters, and construction quality parameters. Among them, milling wheel box parameters (milling wheel pressure, milling wheel speed), mud pump parameters (mud pump hydraulic oil pressure, mud pump flow rate, mud pump speed), gearbox parameters (gearbox pressure, gearbox temperature); trenching machine performance parameters: external pressure, drain pressure, load weight, feed speed; construction quality parameters: correction parameters (milling head x-direction angle, milling head y-direction angle), weight on the milling head wire rope;

[0050] 4) The data parameter for this API call is a public dataset;

[0051] Step 5: Connect the external system to the industrial control computer's early warning parameter interface.

[0052] 1) Read the warning type data: power warning status, equipment performance warning status, correction warning status, and key component status;

[0053] Step 6: Connect external systems to the trenching progress parameter interface

[0054] Because the data acquisition time and depth for milling groove data reading are limited, it is impossible to know the completion time of one milling operation.

[0055] 1) Receive external system parameters: trench depth;

[0056] 2) Based on the actual trenching depth, identify any invalid states during the process and remove invalid parameters. Invalid parameter characteristics include (correction parameter status, equipment performance warning status, power supply warning status, and critical component warning status);

[0057] 3) Push valid trenching progress parameters: collection time, collection depth, valid parameters refer to (the actual depth value from 0 during one trenching process, without any bucket lifting action caused by accidents).

Claims

1. A method for collecting construction data of a trenching machine, characterized in that: Includes the following steps: Step 1: Connect the industrial control equipment to the milling machine power signal. Connect the milling machine's own power signal directly to the milling machine via an embedded industrial control computer, add the option to monitor the milling machine's power signal, and establish power signal initialization parameters. The initialization parameters include equipment operating status, fault status, monitoring power signal parameters, and remote link log parameters. Step 2: Connect the industrial control equipment to the hotspot signal of the milling machine. The information of the milling machine screen is obtained by accessing the built-in VNC Server through the built-in WIFI signal of the milling machine or by implanting an additional program. The image is then identified by OCR technology, and three types of error features are collected: warning, normal, and error. For the error image, it is determined whether to parse it. The warning image is recorded as a warning category, and the image results are stored in the initial parameters, which include the collection time, image type, image information, image path, and whether to parse it. Step 3: Industrial control equipment sends data signals 1) Add a GPRS module to send power signal parameters and access signal parameters via 4G signal; 2) Initialize the network signal source to prevent the hotspot signal from becoming unstable and causing the Wi-Fi signal to be interrupted during the construction process when the milling machine connects to the hotspot and Wi-Fi signal; When initializing the network signal source: (1) Customize an external slot to facilitate the insertion and removal of the data card and prevent 4G signal loss; (2) Since the hotspot source is an internal signal, it is easy to conflict with the 4G signal source during construction, resulting in the inability to send signals. By automatically controlling the network signal, the 4G signal is given high priority to ensure the stability of the received signal. (3) Multiple unstable connection sources appeared in the industrial control equipment, which caused network interruption during construction. Remote initialization was required to ensure the stability of the received signal. Step 4: Connect the external system to the industrial control computer's normal parameter interface. 1) Push the device network interface and initialize basic parameters, including collector number, collector name, collector MAC address, device access interface, and device signal status; 2) After successfully connecting to the network, start pushing power signal parameters to ensure power stability; 3) When the equipment starts up, it begins reading normal type parameters and pushes milling wheel box parameters, mud pump parameters, gearbox parameters, trenching machine performance parameters, and construction quality parameters. Among them, milling wheel box parameters include: milling wheel pressure and milling wheel speed; mud pump parameters include: mud pump hydraulic oil pressure, mud pump flow rate, and mud pump speed; gearbox parameters include: gearbox pressure and gearbox temperature; trenching machine performance parameters include: external pressure, drain pressure, load weight, and feed speed; construction quality parameters include: correction parameters include: milling head x-direction angle, milling head y-direction angle, and weight on the milling head wire rope. 4) The device network interface calls data parameters using a public dataset; Step 5: Connect the external system to the industrial control computer's early warning parameter interface, and read the early warning type data, including power supply early warning status, equipment performance early warning status, correction early warning status, and key component status. Step 6: Connect external systems to the trenching progress parameter interface 1) Receive external system parameters: trench depth; 2) Based on the actual trenching depth, determine if there are invalid states in the process and remove invalid parameters; Invalid parameter characteristics include correction parameter status, equipment performance warning status, power supply warning status, and critical component warning status; 3) Push valid trenching progress parameters: data collection time and data collection depth.

2. The method for collecting construction data of a trenching machine according to claim 1, characterized in that: In step one, due to power fluctuations during the construction of the milling machine, the milling machine needs to be connected to a standard wide-plate power supply with 12V, 24V, and 36V.

3. The method for collecting construction data of a trenching machine according to claim 1, characterized in that: The effective parameters in step six refer to the value from 0 to the actual depth during a single milling process, provided that no bucket lifting action occurs due to an accident.

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