JP2021095221A - Degradation detecting system and degradation detecting method of hydraulic oil - Google Patents

Abstract

To provide a degradation detecting system of a hydraulic oil capable of operating a hydraulic working machine without being affected by the operational status of a server, suppressing data communication cost, and accurately detecting the degradation of the hydraulic oil.SOLUTION: A degradation detecting system 90 communicates with an edge unit and a sever during a data update period X immediately after changing a hydraulic oil. The server 92 creates a reference model that is a data waveform model of a sound crane 1 based on operation data transmitted from the edge unit 91. The edge unit 91 transmits the operation data during the data update period X to the server 92 and receives the created reference model from the server 92. The edge unit 91 calculates the divergence between the reference model and the operation data after the passage of the data update period X and determines that the hydraulic oil needs to be changed when the divergence width exceeds a threshold.SELECTED DRAWING: Figure 2

Description

The present invention relates to a technique of a deterioration detection system and a deterioration detection method for detecting deterioration of hydraulic oil used in a hydraulic work machine such as a crane.

Conventionally, in a hydraulic work machine such as a crane, hydraulic oil necessary for operating and lubricating a hydraulic device has been used. The hydraulic oil deteriorates with the operation of the hydraulic work machine and needs to be replaced. Currently, hydraulic work machines such as cranes are not provided with sensors for directly detecting the deterioration of hydraulic oil, so regular replacement should be performed based on the operating time, etc., regardless of the actual degree of deterioration. Is commonly done.

Conventionally, a technique has been developed that makes it possible to predict the replacement time of a replacement product in detail, and for example, there is one disclosed in Patent Document 1. The replacement product management system for construction machinery disclosed in Patent Document 1 precisely predicts the replacement time of replacement products such as engine oil, engine oil filter, air filter, hydraulic oil, hydraulic oil filter (oil filter), and hydraulic hose. can do.

In the replacement product management system for construction machinery disclosed in Patent Document 1, when a replacement product is replaced with a new one at a service factory, a service person can use the replacement product information (for example, the replacement product name) as the information on the replacement product. Enter the replacement date) into the maintenance computer. The replacement product information is transmitted from the maintenance computer to the center server via a communication line or the like by the operation of the service person, and is stored in the center server. The center server predicts the replacement time of the replacement product by using the replacement product information, the operation information, and the usage environment information. The operation information is, for example, pilot pressure, pump pressure, hydraulic oil temperature, engine speed, engine operating time (or an hour meter which is an integrated value of time from key ON to key OFF) of each part of construction machinery. The usage environment information is, for example, information on the user of the hydraulic excavator (user information), information on the industry of the user (industry information), information on the area of the user (regional information), work content (construction content, construction). Information (work information, construction information), work area information (work area information), etc.

JP-A-2017-8524

In the conventional replacement product management system shown in Patent Document 1, since the center server predicts the replacement time of the replacement product, it is necessary to send the operation data of the construction machine necessary for the prediction to the center server at any time. There is. Therefore, the above-mentioned conventional system has a problem that the cost for data communication becomes high. Further, in the above-mentioned conventional system, if the center server goes down due to some trouble, the function of predicting the replacement time of the replacement product does not immediately function normally, which affects the operation of the construction machine.

The present invention has been made in view of the current problems, the hydraulic work machine can be operated without being affected by the operating status of the server, and the data communication cost can be suppressed. However, it is an object of the present invention to provide a deterioration detection system and a deterioration detection method for hydraulic oil that can accurately detect deterioration of hydraulic oil.

The problem to be solved by the present invention is as described above, and next, the means for solving this problem will be described.

That is, the hydraulic oil deterioration detection system according to the present invention is connected to a controller that controls a hydraulic work machine, has an edge unit that acquires operation data of the hydraulic work machine in real time from the controller, and the hydraulic pressure from the operation data. A server for creating a data waveform model of a work machine and a communication means for connecting the edge unit and the server are provided, and the communication means is used in a data update period, which is a predetermined period immediately after the hydraulic oil is replaced. The operation data during the data update period can be transmitted from the edge unit to the server, and the data waveform model created by the server can be transmitted to the edge unit. The server is configured to transmit the data. During the update period, the reference model, which is the data waveform model of the sound hydraulic work machine, can be created based on the operation data transmitted from the edge unit, and the edge unit updates the data. After the lapse of the period, the deviation between the reference model and the machine operation data can be calculated, and when the width of the deviation exceeds the threshold value, it can be determined that the hydraulic oil needs to be replaced. It is what has been done.

With the hydraulic oil deterioration detection system configured in this way, communication between the edge unit and the server is performed only during the data update period, so that communication costs can be suppressed. Further, since the edge unit and the server are not communicated except during the data update period, the hydraulic work machine can be operated without being affected by the operating status of the server.

Further, in the hydraulic oil deterioration detection system according to the present invention, it is preferable that the edge unit updates the reference model during the data update period.

If the reference model is updated every time the hydraulic oil is changed in this way, the influence of aging deterioration of the hydraulic work machine can be eliminated. As a result, deterioration of the hydraulic oil can be detected more accurately.

Further, in the hydraulic oil deterioration detection system according to the present invention, it is preferable that the edge unit is configured so that the deviation between the reference model and the machine operation data can be calculated in real time.

With this configuration, the hydraulic oil can be changed in a timely manner.

Further, in the hydraulic oil deterioration detection system according to the present invention, it is preferable that the edge unit issues an alarm when it is determined that the hydraulic oil needs to be replaced.

With this configuration, the user can surely grasp the deterioration of the hydraulic oil.

Further, the method for detecting deterioration of hydraulic oil according to the present invention includes an edge unit that is connected to a controller that controls a hydraulic work machine and acquires operation data of the hydraulic work machine in real time from the controller, and the hydraulic pressure from the operation data. It is a deterioration detection method of hydraulic oil by a deterioration detection system including a server for creating a data waveform model of a work machine and a communication means for connecting the edge unit and the server, and the hydraulic oil is detected by the communication means. In the data update period, which is a predetermined period immediately after exchanging the data, the operation data in the data update period is transmitted from the edge unit to the server, and the data waveform model created by the server is transmitted to the edge unit. Then, the server creates a reference model, which is a sound data waveform model of the hydraulic work machine, based on the operation data transmitted from the edge unit during the data update period, and the edge unit creates a reference model. After the data update period has elapsed, the deviation between the reference model and the machine operation data is calculated, and when the width of the deviation exceeds the threshold value, it is determined that the hydraulic oil needs to be replaced. is there.

With the hydraulic oil deterioration detection method configured in this way, communication between the edge unit and the server is performed only during the data update period, so that communication costs can be suppressed. Further, since the edge unit and the server are not communicated except during the data update period, the hydraulic work machine can be operated without being affected by the operating status of the server.

According to the deterioration detection system and the deterioration detection method for hydraulic oil according to the present invention, communication between the edge unit and the server is performed only during the data update period, so that the communication cost can be suppressed. Further, since the edge unit and the server are not communicated except during the data update period, the hydraulic work machine can be operated without being affected by the operating status of the server.

The schematic diagram which shows the whole structure of the crane to which the deterioration detection unit of hydraulic oil which concerns on one Embodiment of this invention is applied. Deterioration detection unit and crane control block diagram. The flow chart which shows the flow of the deterioration detection method of hydraulic oil by the deterioration detection unit. The figure which shows the relationship between the cumulative operation time of a crane, the soundness of operation data, and the time of change of hydraulic oil.

[Overall configuration of the crane]
First, the overall configuration of the hydraulic work machine to which the hydraulic oil deterioration detection unit according to the embodiment of the present invention is applied will be described with reference to FIGS. 1 and 2. In the present embodiment, a crane 1 which is a mobile crane will be described as an example of a flood control machine. The hydraulic work machine to which the deterioration detection unit according to the embodiment of the present invention is applied may be, for example, a hydraulic excavator, a bulldozer, or the like as long as it uses hydraulic oil. Not limited to.

As shown in FIG. 1, the crane 1 is mainly composed of a traveling body 2 and a swivel body 3.

The traveling body 2 includes a pair of left and right front wheels 21 and rear wheels 22. Further, the traveling body 2 is provided with an outrigger 23 that is grounded to stabilize the cargo W when the cargo W is transported. The traveling body 2 has an actuator that allows the rotating body 3 supported on the upper portion to be swiveled.

The swivel body 3 is provided with a boom 31 so as to project forward from the rear portion. Therefore, the boom 31 can be swiveled by an actuator (see arrow A). Further, the boom 31 is expandable and contractible by an actuator (see arrow B). Further, the boom 31 is undulated by an actuator (see arrow C).

In addition, a wire rope 32 is bridged over the boom 31. A hook portion 34 is attached to the wire rope 32 hanging from the boom head 33. A winch 35 is provided in the vicinity of the base end side of the boom 31. The winch 35 is integrally configured with the actuator, and enables the wire rope 32 to be taken in and out. Therefore, the hook portion 34 can be raised and lowered (see arrow G).

The boom head 33 is provided with a top sheave 37. Further, the hook portion 34 is provided with a hook sheave 38. A wire rope 32 is wound around the top sheave 37 and the hook sheave 38.

[Crane control configuration]
As shown in FIGS. 1 and 2, the crane 1 includes a controller 4. As shown in FIG. 2, various operating tools 51 to 54 are connected to the controller 4. Further, various valves 61 to 64 are connected to the controller 4. Further, various sensors 81 to 84 are connected to the controller 4.

As shown in FIGS. 1 and 2, the boom 31 can be swiveled by a swivel hydraulic motor 71 which is an actuator (see arrow A in FIG. 1). The swivel hydraulic motor 71 is appropriately operated by the swivel valve 61, which is a directional control valve. That is, the swivel hydraulic motor 71 is appropriately operated by switching the flow direction of the hydraulic oil by the swivel valve 61. The swivel valve 61 is operated based on the operation of the swivel operator 51 by the operator. Further, the turning angle of the boom 31 is detected by the turning sensor 81. Therefore, the controller 4 can recognize the turning angle of the boom 31.

Further, the boom 31 can be expanded and contracted by the expansion and contraction hydraulic cylinder 72 which is an actuator (see arrow B in FIG. 1). The expansion / contraction hydraulic cylinder 72 is appropriately operated by the expansion / contraction valve 62 which is a directional control valve. That is, the expansion / contraction hydraulic cylinder 72 is appropriately operated by the expansion / contraction valve 62 switching the flow direction of the hydraulic oil. The expansion / contraction valve 62 is operated based on the operation of the expansion / contraction operation tool 52 by the operator. Further, the expansion / contraction length of the boom 31 is detected by the expansion / contraction sensor 82. Therefore, the controller 4 can recognize the expansion / contraction length of the boom 31 (hereinafter referred to as “boom length L” (see FIG. 1)).

Further, the boom 31 is undulated by the undulating hydraulic cylinder 73, which is an actuator (see arrow C in FIG. 1). The undulating hydraulic cylinder 73 is appropriately operated by the undulating valve 63, which is a directional control valve. That is, the undulating hydraulic cylinder 73 is appropriately operated by the undulating valve 63 switching the flow direction of the hydraulic oil. The undulation valve 63 is operated based on the operation of the undulation operation tool 53 by the operator. Further, the undulation angle of the boom 31 is detected by the undulation sensor 83. Therefore, the controller 4 can recognize the undulation angle of the boom 31.

In addition, as described above, the hook portion 34 is movable up and down by the winding hydraulic motor 74, which is an actuator (see arrow G in FIG. 1). The winding hydraulic motor 74 is appropriately operated by the winding valve 64, which is a directional control valve. That is, the winding hydraulic motor 74 is appropriately operated by the winding valve 64 switching the flow direction of the hydraulic oil. The winding valve 64 is operated based on the operation of the winding operation tool 54 by the operator. Further, the unwinding length of the wire rope 32 is detected by the winding sensor 84. Therefore, the controller 4 can recognize the unwinding length of the wire rope 32 (hereinafter, referred to as “wire length” (not shown)).

As described above, in the crane 1, hydraulic oil is used for operating and lubricating the actuators 71 to 74.

Then, as shown in FIGS. 1 and 2, the crane 1 further includes an edge unit 91. The edge unit 91 is a unit for detecting deterioration of the hydraulic oil of the crane 1, is arranged at a position close to the controller 4 in the crane 1 (inside the cabin), and is connected to the controller 4. The edge unit 91 is configured to be able to communicate with the server 92 arranged outside the crane 1 via the communication means 93.

[Deterioration detection system configuration]
As shown in FIGS. 1 and 2, the hydraulic oil deterioration detection system 90 applied to the crane 1 includes an edge unit 91, a server 92, and a communication means 93.

The deterioration detection system 90 is a system that performs data processing by edge computing using an edge unit 91 and a server 92, and detects deterioration of hydraulic oil used in the crane 1. The deterioration detection system 90 distributes the processing load and distributes the amount of communication by performing data processing at a position closer to the controller 4 by the edge unit 91 while collecting / accumulating and processing data centering on the server 92. Achievement of reduction (and thus cost reduction).

Edge computing is a position where the communication path from the controller 4 that collects data from various parts of the crane 1 is shorter than that of cloud computing that sends all the data to the server on the cloud and then processes it. By arranging the 91 and performing the data processing in the edge unit 91, it is possible to process the data with a smaller time lag.

Further, in the case of cloud computing that aggregates data on a server, it is not possible to collect operation data of the crane 1 when the server goes down due to some kind of failure. In the deterioration detection system 90, data processing is performed by the edge unit 91 provided in the crane 1, and daily operation data is stored in the edge unit 91. Therefore, the crane does not have to worry about the influence of the failure of the server 92 or the like. 1 can be operated daily and the operation data of the crane 1 can be accumulated every day.

The edge unit 91 is a unit capable of collecting operation data D from a device to be measured (crane 1 in this embodiment) and determining whether the operation data D is normal or abnormal. The edge unit 91 includes a CPU, ROM, RAM, and an interface for connecting to the controller 4, and determines whether the operation data D collected from the controller 4 is normal or abnormal. Further, the edge unit 91 is provided with a communication function for data communication with the server 92 (for example, a mobile communication system based on a 3G system, a 4G system, or the like). Therefore, the edge unit 91 is configured to be able to transmit the operation data D to the server 92.

As the edge unit 91 shown in the present embodiment, an AI edge unit having an AI learning function is adopted. The edge unit 91, which is an AI edge unit, is configured to learn operation data collected by the controller 4 on a daily basis as teacher data and improve the accuracy of determining normality / abnormality of the operation data on a daily basis.

The server 92 can collect operation data D from the device to be measured (crane 1 in this embodiment) and generate a data waveform model M based on the operation data D. The server 92 is placed on the cloud network, and the operation data D of the crane 1 is input via the data communication with the edge unit 91.

As the server 92 shown in the present embodiment, an AI cloud server having an AI learning function is adopted. The server 92, which is an AI cloud server, learns the operation data D transmitted from the edge unit 91 as teacher data every time the hydraulic oil is changed, and accurately models the data waveform model M according to the current operation status of the crane 1. Is configured to allow you to create.

The communication means 93 is a means for performing data communication between the edge unit 91 and the server 92, and in the present embodiment, mobile communication such as a 3G system or a 4G system is used. If the access point for wireless LAN can be arranged within the communication range of the crane 1, the wireless LAN equipment can be used as the communication means 93, and the edge to the server 92 on the cloud via the wireless LAN. The unit 91 may be connected. Further, the wired LAN equipment can be used as the communication means 93, and if necessary, the LAN cable can be connected to the edge unit 91, and the edge unit 91 can be connected to the server 92 on the cloud via the wired LAN equipment. Good.

[Method of detecting deterioration of hydraulic oil by deterioration detection system]
Next, a method for detecting deterioration of hydraulic oil by the deterioration detection system 90 according to the embodiment of the present invention will be described.

As shown in FIG. 3, in the hydraulic oil deterioration detection system 90, when the hydraulic oil is replaced in the crane 1 to be applied, the deterioration detection system 90 first records the replacement date and time of the hydraulic oil ( STEP-1). Specifically, for example, as shown in FIG. 4, when the hydraulic oil is replaced at the timing when the cumulative operating time of the crane 1 reaches Tn, the edge unit 91 stores the replacement date and time at this time. The storage in the edge unit 91 at this time may be automatically stored by catching that the soundness of the operation data D is changed in steps by the edge unit 91, or may be manually input by the user. You may memorize it.

Next, in the hydraulic oil deterioration detection system 90, the operation data D acquired by the edge unit 91 from the controller 4 is sent to the server 92 at the timing of the data update period X when the crane 1 is operated for the first time after the hydraulic oil is replaced. Send (STEP-2).

Next, in the hydraulic oil deterioration detection system 90, the server 92 creates a data waveform model M at the timing of the data update period X based on the operation data D transmitted from the edge unit 91 (STEP-3). The data waveform model M created at this time is created from the operation data D in the data update period X, and is referred to as a reference model M0 to distinguish it from others. Then, in the reference model M0, it is defined that the soundness of the operation data D is 100%.

The "health of operating data" referred to here is an index that defines the soundness when the deviation between the reference model M0 and the operating data D is "0" to be 100%, and is a standard. As the gap between the model M0 and the operation data D increases, the “health of the operation data” decreases. Therefore, the “health of operating data” is restored to 100% in the data update period X immediately after the hydraulic oil is replaced (see FIG. 4).

Next, the hydraulic oil deterioration detection system 90 transmits the reference model M0 created by the server 92 from the server 92 to the edge unit 91 at the timing of the data update period X (STEP-4). At this time, the edge unit 91 stores the reference model M0 transmitted from the server 92.

Next, in the hydraulic oil deterioration detection system 90, when the crane 1 is operating after the data update period X, the edge unit 91 stores the reference model M0 stored in the edge unit 91, and the controller 4 to the edge unit 91. Compare with the operation data D input in real time to (STEP-5).

Next, in the hydraulic oil deterioration detection system 90, the edge unit 91 calculates the deviation width between the reference model M0 and the operation data D, and determines whether or not the deviation width exceeds a preset threshold value. (STEP-6).

Then, in (STEP-6), if the deviation width between the reference model M0 and the operation data D does not exceed the threshold value, the process returns to (STEP-5) and is continuously stored in the edge unit 91 by the edge unit 91. The reference model M0 is compared with the operation data D input in real time from the controller 4 to the edge unit 91.

That is, in the deterioration detection system 90, the deviation between the reference model M0 and the operation data D is calculated in real time by the edge unit 91, and the timely replacement of the hydraulic oil can be realized by such a configuration. ..

On the other hand, in (STEP-6), if the deviation width between the reference model M0 and the operation data D exceeds the threshold value, the edge unit 91 issues an alarm notifying that the hydraulic oil has deteriorated. Here, the alarm issued from the edge unit 91 can be a sound or a voice, a lamp, a screen display, or the like.

In the case shown in FIG. 4, when the cumulative operating time Tn + 1, the soundness of the operating data D exceeds (falls below) the threshold value, so that the edge unit 91 issues an alarm at the timing of the cumulative operating time Tn + 1. .. In the deterioration detection system 90, an alarm is issued from the edge unit 91 arranged in the cabin to notify the user that the hydraulic oil has deteriorated and prompt the user to replace the hydraulic oil.

That is, in the deterioration detection system 90, the edge unit 91 issues an alarm when it is determined that the hydraulic oil needs to be replaced. With such a configuration, the crane 1 is operated in the cabin. The user can surely grasp the deterioration of the hydraulic oil.

Then, when the user receives the alarm and replaces the hydraulic oil, the process returns to (STEP-1), and thereafter, (STEP-1) to (STEP-7) are repeatedly executed. It should be noted that the determination as to whether or not the hydraulic oil has been replaced may be automatically determined by capturing the step change in the soundness of the operation data D by the edge unit 91, or the user may manually determine. You may enter information to the effect that you have exchanged.

When the user changes the hydraulic oil, the soundness of the operation data D, which has been lowered to the change threshold, is reset to 100%.

In the case shown in FIG. 4, when the cumulative operating time Tn + 2, the soundness of the operating data D exceeds (falls below) the threshold value again, so that the edge unit 91 issues an alarm at the timing of the cumulative operating time Tn + 2. Report.

Then, in the deterioration detection method of the hydraulic oil by the deterioration detection system 90, when the new reference model M0 is transmitted from the server 92 to the edge unit 91 in (STEP-4), the edge unit 91 has previously stored it. The reference model M0 is overwritten, and the subsequent (STEP-5) to (STEP-7) are executed using the new reference model M0.

That is, in the deterioration detection system 90, the edge unit 91 updates the reference model M0 in the data update period X, and always updates the operation data D at the time of hydraulic oil replacement with a soundness of 100%. In the deterioration detection system 90, the influence of the aged deterioration of the crane 1 can be eliminated by updating the reference model M0 every time the hydraulic oil is changed. As a result, the degree of deterioration of the hydraulic oil can be determined more accurately, and the deterioration of the hydraulic oil can be detected more accurately.

As described above, the deterioration detection system 90 according to the embodiment of the present invention and the deterioration detection method of hydraulic oil using the system are connected to the controller 4 mounted on the crane 1 which is an example of the hydraulic work machine, and the controller 4 The edge unit 91 that acquires the operation data D of the crane 1 in real time, the server 92 that creates the data waveform model M of the crane 1 from the operation data D, and the communication means 93 that connects the edge unit 91 and the server 92. It has. In the data update period X, which is a predetermined period immediately after the hydraulic oil is replaced, the communication means 93 can transmit the operation data D in the data update period X from the edge unit 91 to the server 92, and the data created by the server 92. The waveform model M can be transmitted to the edge unit 91. The server 92 is configured to be able to create a reference model M0, which is a data waveform model M of a sound crane 1, based on the operation data D transmitted from the edge unit 91 in the data update period X. The edge unit 91 can calculate the deviation between the reference model M0 and the operating data D after the data update period X has elapsed, and when the width of the deviation exceeds the threshold value, it is necessary to replace the hydraulic oil. It is configured so that it can be determined that.

Then, in such a deterioration detection system 90 and a deterioration detection method of hydraulic oil using the same, communication between the edge unit 91 and the server 92 is performed only in the data update period X, so that the communication cost by the communication means 93 is suppressed. Can be done. Further, since the edge unit 91 and the server 92 do not communicate with each other except for the data update period X, the crane 1 is operated without being affected by the operation status of the server 92 (for example, even if the server 92 is down). be able to.

1 Crane 1 (Flood control machine)
4 Controller 90 Deterioration detection system 91 Edge unit 92 Server 93 Communication means X Data update period

Claims (5)

An edge unit that is connected to a controller that controls a hydraulic work machine that uses hydraulic oil and acquires operation data of the hydraulic work machine in real time from the controller.
A server that creates a data waveform model of the hydraulic work machine from the operation data,
A communication means for connecting the edge unit and the server,
With
The communication means
In the data update period, which is the predetermined period immediately after changing the hydraulic oil,
The operation data during the data update period can be transmitted from the edge unit to the server, and the data waveform model created by the server can be transmitted to the edge unit.
The server
During the data update period
Based on the operation data transmitted from the edge unit, it is possible to create a reference model which is the data waveform model of the sound hydraulic work machine.
The edge unit is
After the data update period has elapsed,
It is configured so that the deviation between the reference model and the machine operation data can be calculated, and when the width of the deviation exceeds the threshold value, it can be determined that the hydraulic oil needs to be replaced.
A hydraulic oil deterioration detection system characterized by this. The edge unit is
In the data update period, the reference model is updated.
The deterioration detection system for hydraulic oil according to claim 1. The edge unit is
It is configured so that the deviation between the reference model and the machine operation data can be calculated in real time.
The deterioration detection system for hydraulic oil according to claim 1 or 2. The edge unit is
Issue an alarm when it is determined that the hydraulic oil needs to be replaced.
The deterioration detection system for hydraulic oil according to any one of claims 1 to 3. An edge unit that is connected to a controller that controls a hydraulic work machine that uses hydraulic oil and acquires operation data of the hydraulic work machine in real time from the controller.
A server that creates a data waveform model of the hydraulic work machine from the operation data,
A communication means for connecting the edge unit and the server,
It is a deterioration detection method of hydraulic oil by a deterioration detection system equipped with
By the communication means
In the data update period, which is the predetermined period immediately after changing the hydraulic oil,
The operation data in the data update period is transmitted from the edge unit to the server, and the data waveform model created by the server is transmitted to the edge unit.
By the server
During the data update period
Based on the operation data transmitted from the edge unit, a reference model which is the data waveform model of the sound hydraulic work machine is created.
By the edge unit
After the data update period has elapsed,
The deviation between the reference model and the machine operation data is calculated, and when the width of the deviation exceeds the threshold value, it is determined that the hydraulic oil needs to be replaced.
A method for detecting deterioration of hydraulic oil.

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