JPH0414596A - Self-diagnostic method of sludge conveying equipment - Google Patents

Abstract

PURPOSE:To enable self-diagnosis of an equipment by measuring flow of sludge, specific gravity, number of revolutions of a pump, driving current and pipe pressure in the sludge conveying equipment of a shield excavator, and subjecting data obtained through static processing of measured values to fuzzy inference. CONSTITUTION:As a sensor to detect a driving state of a sludge conveying equipment, facing water pressure gauges a1 and a2 to detect pressure in a sludge room 18 and tachometers and ammeters are provided to a sludge delivery pump P1, and differential pressure density meters b1, b2 and electromagnetic flow meters c1, c2 are respectively to a sludge delivery and moving pipe 20. After that, the tachometers are provided respectively to sludge moving pumps P2, P3... PE, and pressure gauges d2 - E, e2 - E to measure absorbing and discharging pressure are respectively provided to the front and rear of each of pumps P2... PE. Those measured values are inputted to a self-diagnostic device 30 through direct or multi-transmission devices 32 and 34. According to the constitution, self-diagnosis of the sludge conveying equipment can be automatically made.

Description

[Detailed description of the invention] (Industrial application field) The present invention relates to a self-diagnosis method for muddy water transport equipment.

(Prior Art) As is well known, the shield construction method is a method of constructing a tunnel in the ground, and this type of construction method uses a shield excavator that excavates the ground.

Incidentally, in recent years, there has been a tendency for shield construction work to be performed under difficult conditions such as complex ground conditions, large depths, and large diameters.

Construction under such difficult conditions requires greater safety, as well as labor savings and improved construction efficiency.

For example, in November 1989, published by Nippon Kogyo Publishing,
"Construction Machinery" includes automation of shield construction.

A fault diagnosis system aimed at saving labor has been disclosed.

The failure diagnosis system shown in this document is based on a so-called expert system, which has the knowledge of shield construction experts as a database, and based on this database, infers the location of the damaged part. However, when applying this failure diagnosis system to the muddy water transportation equipment of the muddy water shield excavator, there were technical problems described below.

(Problem to be Solved by the Invention) In other words, in the fault diagnosis system disclosed in the above-mentioned document, when inferring the fault location, it is performed in an interactive manner with the operator, which makes the operation complicated and
There was a problem in that a conclusion could not be reached unless the operator operated the system, and that proper inference could not be made if there was an operational error.

This invention was made in view of these conventional problems, and its purpose is to provide a self-diagnosis method that can automatically and comprehensively determine the condition of muddy water transport equipment. There is a particular thing.

(Means for Solving the Problems) In order to achieve the above object, the present invention provides a mud pipe that supplies mud to a mud chamber of a shield excavator, and a mud pipe that discharges a mixture of excavated soil and mud from the mud chamber. A self-diagnosis method for muddy water transport equipment in which a mud pump provided on the mud pipe, a mud pump provided on the mud pipe, and a mud pump installed on the mud pipe are biased, the flow rate of the mud and mixture; The specific gravity, the rotation speed of the pump, the driving current, and the pressure inside the muddy water chamber and pipes are each measured, and the average value, maximum value, and minimum value are selected from the measured values as appropriate according to the diagnosis item. The method is characterized in that statistical processing such as calculation of one variance and one regression coefficient is performed, and the state of the muddy water transport equipment is determined by fuzzy inference based on the obtained statistical processing data.

(Operations and Effects of the Invention) According to the self-diagnosis method configured as described above, if a membership function is set for each measured value, self-diagnosis of the muddy water transport equipment is automatically performed.

(Embodiments) Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 to 3 show an embodiment of the self-diagnosis method for muddy water transport equipment according to the present invention.

In the self-diagnosis method shown in the figure, devices whose overall arrangement is shown in FIG. 1 are used.

In FIG. 1, numeral 10 indicates a muddy water type shield excavator, and the shield excavator 10 has a cylindrical skin plate 12 and a cutter 14 rotatably installed at the tip of the skin plate 12. are doing.

A large number of cutter bits are installed on the front side of the cutter 14, and partition walls 16 are installed on the back side of the cutter 14 at predetermined intervals.
is fixed to the skin plate 12, and a muddy water chamber 18 is separated from the skin plate 12.

This partition wall 16 is provided with a mud feeding pipe 20 on its upper side for supplying muddy water into the muddy water chamber 18, and on its lower side is provided with a drainage pipe 20 for discharging a mixture of excavated earth and sand and muddy water from the muddy water chamber 18. A mud pipe 22 is provided.

On the other hand, on the ground side, a mud tank 24 and a recovery tank (not shown) are installed, and the mud tank 24 is connected to a mud pipe 2 via a mud pump P1.
0 is connected to the collection tank, and a plurality of sludge pumps P2. P3...The mud draining pipe 22 is connected through the PE, and the mixture of muddy water and excavated soil stored in the collection tank through the mud draining pipe 22 is such that only the excavated soil in the mixture is The muddy water is separated and introduced into the muddy water tank 24 for reuse.

Furthermore, two bypass pipes 25 and 26 are connected between the mud feeding pipe 20 and the mud removal pipe 22, and the bypass pipe 25 and 26 are connected to each other.
Reference numeral 5 is for opening and closing valves provided before and after the slurry pipe 20 so that the muddy water sent from the mud feeding pipe 20 flows out into the mud draining pipe 22 without flowing into the muddy water chamber 18 (
bypass mode).

Then, by operating the valve of the other bypass pipe 26 in the same manner as described above, the muddy water sent from the mud feeding pipe 20 is supplied into the inside of the muddy water chamber 18 from below, and the muddy water chamber 18
This is used to drain the sludge from above into the drainage pipe 22 (reverse injection mode).

The shield excavator 10 configured as described above allows the segments to excavate while absorbing the reaction force of the shield jack,
The earth and sand excavated by the cutter 14 is taken into the muddy water chamber 18, and is discharged along with the muddy water from the mud drainage pipe 22 to a collection tank outside the mine, while a tunnel is constructed.

At this time, mud water transport equipment (mud water tank 24 - mud pump P1
- Sludge pipe 2〇 - Sludge chamber 18 - Sludge pipe 22 - Sludge pump P
2. P3. ...PE-recovery tank), the self-diagnosis is automatically performed by the self-diagnosis device 30 installed on the ground side as follows.

Note that the self-diagnosis device 30 transmits measured values from various sensors installed in the tunnel to a plurality of multiplex transmission device slave stations 3.
A multiplex transmission device master station 34 is connected which receives data via 2.

The self-diagnosis carried out by the self-diagnosis device 30 is carried out in four modes: face circulation, bypass, stoppage, and reverse injection of the muddy water transport equipment, and the processing procedure is shown in FIG.

When the processing procedure starts, first, the measured value of the sensor is captured in step S1, and the information captured in step S2 is stored.

Next, in step S3, it is determined whether or not a predetermined number of measured values have been taken in. If the measured values have been taken in a predetermined number of times, in step S4, statistical processing of the stored measured values is performed.

In the statistical processing performed at this time, a population is created that is ranked along the time axis, and the average value, maximum value, minimum value 1 variance, and standard deviation 1 regression coefficient are calculated for this population. .

Then, in step S5, it is determined which mode the muddy water transport equipment is currently in, and in step s6, fuzzy inference is executed according to each mode, and the results obtained by the inference are displayed in step s7, and the process starts. return.

To specifically explain the main parts of the above self-diagnosis using the face circulation mode as an example, firstly, in this mode, the sensor that detects the driving state of the muddy water transport equipment is the muddy water chamber 18, as shown in FIG. A face water pressure gauge al that detects the pressure inside the
a2, the mud pump P1 is provided with a tachometer and an ammeter, and each of the mud transport pipes 20 is equipped with a differential pressure density meter b1.
b2 and electromagnetic flowmeters cl and c2 are installed.

In addition, the sludge pump P2. P3.・・・・・・PE has
A tachometer is installed in each pump P2.
P3. . . . Pressure gauges d1 to E and el to E are installed before and after the PE, respectively, to measure suction and discharge pressures, respectively.

The measured values with these measuring instruments are face water pressure A, mud feeding flow rate B, rotation speed C1 of mud feeding pump P1, mud feeding pump P1.
current value D, mud feeding flow rate fluctuation value E, mud feeding specific gravity F, mud removal flow rate fluctuation value G1 rotation speed fluctuation value of mud removal pumps P2 to PE H1 rotation speed fluctuation value I of mud feeding pumps P2 to PE, mud removal Assuming that the flow rate J, the suction pressure of the sludge pumps P2 to PE has the same pressure fluctuation, and the discharge pressure M1 of the sludge pumps P2 to PE has the same pressure fluctuation N,
The data are input to the self-diagnosis device 30 directly or via multiplex transmission devices 32,34.

On the other hand, self-diagnosis items in face circulation mode include:
In this example, ■Abnormal decrease in face water pressure (sludge pump P
1 abnormality of the power motor), ■Abnormal decrease in water pressure at the face (foreign object caught in the mud pump P1), ■Abnormal decrease in water pressure at the face (damage to the impeller part of the mud pump P1), ■Abnormality in the water pressure at the face Decrease (improper rotation speed control of mud pump P1), ■ Abnormal decrease in face water pressure (excessive amount of mud lost), ■ Abnormal decrease in face water pressure (abnormal rotation speed control of mud pumps P2 to PE), ■ Sludge feed Seven items are listed for occurrence of blockage of the pipe 22.

The measured values A to H are appropriately selected according to the diagnostic items (1) to (2), and membership functions used for fuzzy inference are determined in advance.

The relationship between the above diagnostic items, outputs, and membership functions is shown in FIG.

In executing the self-diagnosis, each measured value A to H is subjected to statistical processing as described above, and an average value and the like are calculated.

Table 1 below shows the meanings of the symbols shown in each column of Fig. 3. For example, in the diagnosis item ■, the A L (3) shown in mud feeding flow rate B is shown in Table 1 below. is the average value of the mud flow zB between any loops of diagnosis, and the same A B (
10) is the average initial setting value of the mud feeding flow rate in 10 rings.

Now, regarding the inference with the above settings,
For example, to explain how inferences are made for diagnosis item (■) abnormal decrease in water pressure at the face, first, for water pressure A at the face, it is calculated whether or not the measured value at the present moment is greater than the set value. , if this is greater than the set value, it is determined with 100% certainty that the face water pressure is increasing.

In addition, for the mud flow jlB, the average value for the 3 loops is approximately 60% of the average initial setting value for the 10 rings.
The water pressure at the face is abnormally low in the following cases:
Judged with % confidence.

Furthermore, at the rotation speed C of the mud pump P, the average value for 3 rings is approximately 60% of the average initial setting value for 10 rings.
In the following cases, it is determined with 100% certainty that the face water pressure has decreased.

Furthermore, if the average value of the mud pump P current value for one loop is approximately 40% or less from the average initial setting value for 10 rings, it is determined that the face water pressure has decreased with 100% certainty. It is.

Then, the final abnormal decrease in face water pressure (sludge pump P
For example, in the current situation, the judgment regarding the power motor abnormality) is made by adopting the lowest confidence of each judgment above.
It can be inferred with what percentage of certainty that the water pressure at the face is abnormally reduced due to an abnormality in the power motor of the slurry pump P1.

Such inference is automatically performed using the same method for each of the diagnostic items (■-■), and the results are displayed.

In addition, in the above explanation, we have explained the self-diagnosis method in the face circulation mode of muddy water transportation equipment, but also in the bypass mode, stop mode, and reverse injection mode, we have set diagnostic items according to each mode, and the settings If measurement values are appropriately selected according to the diagnostic items and membership functions are set for each, self-diagnosis will be automatically performed in the same way as described above.

[Brief explanation of drawings]

Fig. 1 is an overall explanatory diagram of the implementation state of the self-diagnosis method for muddy water transport equipment according to the present invention, Fig. 2 is a flowchart showing the processing procedure of the method, and Fig. 3 is a diagram showing diagnostic items, measured values, and menu diagrams. - It is an explanatory diagram showing the relationship between the Tsubu functions. 10......Shield excavator 18...
...Sludge feeding chamber 20...Sludge feeding pipe 22...Sludge removal pipe Pl...Sludge pump P2, 3... Sludge pump 30... Self-diagnosis device

Claims (1)

[Claims] (1) A mud pipe that supplies mud to the mud chamber of the shield excavator, a mud discharge pipe that discharges a mixture of excavated soil and mud from the mud chamber, and a mud pump installed in the mud pipe. , a self-diagnosis method for muddy water transport equipment equipped with a muddy pump installed in the muddy pipe, the flow rate and specific gravity of the muddy water and the mixture, the rotational speed of the pump, the driving current, and the pressure in the muddy room and the pipe. The obtained statistics are calculated by performing statistical processing such as calculating the average value, maximum value, minimum value, variance, and regression coefficient on the measured values that are selected according to the diagnostic item. A self-diagnosis method for muddy water transport equipment, characterized in that the status of the muddy water transport equipment is determined by fuzzy reasoning based on processed data.