JPH0616846U - Abnormality diagnosis device - Google Patents

Abstract

(57) [Abstract] [Purpose] The present invention ensures a diagnostic function equivalent to the conventional one at a low cost commensurate with the cost of a plant such as a hydraulic power plant whose cost is low. [Structure] Based on online data from the sensors 1 and 2 provided in each of the devices, candidates for an abnormality cause by a primary abnormality diagnosis unit 7 and points to be inspected in each device on the diagnosis target device side When the inspection location presented by the primary abnormality diagnosis unit 7 is examined and the inspection result is input, the secondary abnormality diagnosis unit 9 determines the final abnormality based on the inspection result. It is presented in search of the cause and corresponding action to eliminate the abnormality.

Description

[Detailed description of the device]

[0001]

[Industrial applications]

 The present invention relates to an abnormality diagnosis device for investigating and proposing the cause when an abnormality occurs in a power plant or the like.

[0002]

[Prior art]

 2. Description of the Related Art Conventionally, a device shown in FIG. 2 has been known as an abnormal diagnosis device for investigating and presenting the cause when an abnormality occurs in a power plant or the like.

The abnormality diagnosing device shown in this figure is a device to be diagnosed used in a power plant or the like, for example, a state of a bearing device, that is, bearing temperature, shaft runout, bearing stand vibration, cooling water amount, oil tank temperature, bearing oil. Surface, circulating oil amount, oil fouling, mixed water, shaft current, oil film pressure, bearing gap, and other sensors 101, and other diagnostic target contents such as stator coil temperature, ..., Pressure oil tank oil level, etc. Based on the detection results of the plurality of sensors 102 and the respective sensors 101, 102, it is determined whether or not an abnormality has occurred in each of the diagnosis target devices. An abnormality diagnosis apparatus main body 103 is provided for presenting the determination result of the abnormality cause and the countermeasure.

Then, the detection results of the sensors 101 and 102 are taken in by the abnormality diagnosis device main body 103, and it is determined whether or not an abnormality has occurred in each of the diagnosis target devices based on the detection results, and the abnormality is detected. If a problem has occurred, present the judgment result of the cause of the abnormality and the corresponding action.

In this case, the abnormality diagnosis apparatus main body 103 takes in the detection results of the sensors 101 and 102, and determines whether or not an abnormality has occurred in each of the diagnosis target devices based on each detection result. An abnormality determination unit 104, a knowledge base 105 in which the content of the abnormality and its cause are accumulated, and when the abnormality determination unit 104 determines an abnormality, the knowledge base 105 is referred to based on the abnormality content. And an abnormality diagnosis unit 106 that infers an abnormality cause corresponding to the abnormality content described above, and an abnormality cause result and a countermeasure processing display unit 107 that captures the diagnosis content of the abnormality diagnosis unit 106 and displays it. The detection results of the sensors 101 and 102 are fetched, and whether or not an abnormality has occurred in each of the diagnosis target devices based on these detection results. If an abnormality occurs, the cause of the abnormality is inferred by using the relationship between the content of the abnormality stored in the knowledge base 105 and its cause. The corresponding measures are presented.

Next, a specific example will be presented to specifically explain the operation of the abnormality diagnosis device.

Now, let us consider a case of diagnosing a bearing of a rotating machine. When any abnormality occurs in the bearing, one of the sensors 101 provided for detecting the operating state of the bearing is used. When the detected value, for example, the temperature of the bearing exceeds the set value, the abnormality determination unit 104 of the abnormality diagnosis apparatus main body 103 detects this.

Accordingly, the abnormality diagnosis unit 106 operates and is stored in the knowledge base 105 while referring to the determination result of the abnormality determination unit 104 and the detection results of the sensors 101 and other sensors 102. Reasoning is performed by using the knowledge of the relationship between the contents of the abnormality and the cause of the abnormality, the final cause of the abnormality is sought, and countermeasures are sought in order to eliminate the cause of the abnormality, which is presented.

[0009]

[Problems to be solved by the device]

 However, the above-described conventional abnormality diagnosis device has the following problems.

That is, in the inference process for investigating the cause of abnormality, the cause of abnormality is determined based on the data of each sensor 101, 102. Therefore, each of these sensors 101, 102 must be attached to all devices. There must be.

However, such sensors 101 and 102 are very expensive, and the number of items for processing the data from the sensors 101 and 102 as online data increases, which makes the data communication equipment and processing equipment expensive. Therefore, the cost of the abnormality diagnosis apparatus as a whole increases.

Therefore, when the cost of plant equipment such as nuclear power and thermal power plants is high and the cost ratio of the abnormality diagnosis device is lower than the total cost, it does not pose a problem, but In a plant where the cost of plant equipment is lower than that of nuclear power or thermal power plants, the cost ratio of abnormality diagnosis equipment is higher than the overall cost, and capital investment that does not match the profit generated by the plant. There was a problem that

In view of the above circumstances, the present invention provides an abnormality diagnosis device capable of ensuring a diagnostic function equivalent to the conventional one at a low cost commensurate with the cost of a plant such as a hydraulic power plant whose cost is low. It is intended to be provided.

[0014]

[Means for Solving the Problems]

 In order to achieve the above-mentioned object, the abnormality diagnosis device according to the present invention is an abnormality diagnosis device that investigates the cause of an abnormality when any abnormality occurs in each device constituting the device to be diagnosed and presents a countermeasure. Based on the online data from each sensor provided in each device, a primary diagnosis processing unit that presents candidates for the cause of abnormality and a location to be inspected for each device on the device to be diagnosed; When the inspection location presented by the primary diagnosis processing unit is examined and the inspection result is input, the ultimate cause of abnormality is investigated based on this inspection result, and corrective action is taken to eliminate the abnormality. It is characterized by having a secondary diagnosis processing unit for presenting.

[0015]

[Action]

 In the above configuration, based on the online data from each sensor provided in each of the above-mentioned devices, the primary diagnosis processing unit identifies the candidate of the cause of abnormality and the location of each device on the diagnosis target device side to be inspected. Is displayed, the inspection location presented by the primary diagnosis processing section is examined, and when the inspection result is input, the secondary diagnosis processing section finally determines the cause of the abnormality based on the inspection result. However, appropriate measures to eliminate the abnormality are required and presented.

[0016]

【Example】

 FIG. 1 is a block diagram showing an embodiment of an abnormality diagnosis device according to the present invention.

The abnormality diagnosing device shown in this figure includes a plurality of sensors 1 for detecting a device to be diagnosed used in a power plant or the like, for example, a state of a bearing device, that is, bearing temperature, shaft runout, bearing stand vibration, cooling water amount, and the like. And a plurality of sensors 2 for detecting other diagnosis target contents, for example, stator coil temperature, ..., Pressure oil tank oil level, and the diagnosis target devices based on the detection results of these sensors 1, 2. Whether or not an abnormality has occurred is determined.When an abnormality has occurred, each device on the device side to be diagnosed should be inspected in order to establish the cause of the abnormality and the cause of the abnormality listed in the candidate. The inspection list 3 describing the points is presented, the inspection points presented in the inspection list 3 are examined, and when the inspection result is input, this is taken in to finally investigate the cause of the abnormality and Difference The abnormality diagnosis apparatus main body 4 that presents a countermeasure to remove the abnormality is provided.

Then, the abnormality diagnosis apparatus main body 4 takes in the detection results of the sensors 1 and 2, and determines whether or not an abnormality has occurred in each of the diagnosis target devices based on these detection results. When an abnormality occurs, in order to establish the candidate of the cause of the abnormality and the cause of the abnormality listed in the candidate, the inspection list 3 which shows the parts to be inspected for each device on the device to be diagnosed is presented. When the inspection points presented in the inspection list 3 are checked and the inspection results are input, this is taken in and the final cause of the abnormality is investigated and the corrective action to eliminate the abnormality is presented.

In this case, the abnormality diagnosing device body 4 takes in the detection results of the sensors 1 and 2, and determines whether or not an abnormality has occurred in each of the diagnosis target devices based on each of the detection results. The judgment unit 5, the primary diagnosis knowledge base 6 in which the contents and causes of the abnormality are accumulated, and when the abnormality judgment unit 5 judges the abnormality, the primary diagnosis based on the contents of the abnormality. A primary abnormality diagnosis section 7 that infers an abnormality cause corresponding to the abnormality content by referring to the knowledge base 6 and presents the inspection list 3, and a knowledge of the relation between the content of the abnormality, inspection data and its cause is accumulated. When the secondary diagnosis knowledge base 8 and the inspection data of the location designated by the inspection list 3 are input, the secondary diagnostic knowledge base is based on the inspection data and the cause of the abnormality. The secondary abnormality diagnosis section 9 which infers the cause of abnormality corresponding to the abnormality content by referring to Step 8 and seeks a corresponding action, and the diagnostic content of the secondary abnormality diagnosis section 9 is fetched and displayed. It is equipped with an abnormal cause result and a corresponding action display section 10, which captures the detection results of each sensor 1 and 2, and whether or not an abnormality has occurred in each of the above-mentioned diagnosis target devices based on each of these detection results. If there is an abnormality, the candidate that has the cause of the abnormality and the cause of the abnormality listed in the candidate are established. When list 3 is presented and the inspection points presented in this inspection list 3 are examined and the inspection result is input, this is taken in to finally investigate the cause of the abnormality and to eliminate the abnormality. Present the response .

Next, a specific example will be presented to specifically explain the operation of the abnormality diagnosis device.

Now, let us consider a case where a bearing of a rotating machine is diagnosed.

First, when any abnormality occurs in the bearing, each sensor 1 attached to the bearing detects the symptoms such as bearing temperature, shaft runout, and bearing stand vibration, which are external symptoms of the abnormality, and detects them. If any of these data deviates from the normal data, the abnormality determination unit 5 of the abnormality diagnostic device body 4 detects this online and determines that an abnormality has occurred in the bearing of the plant.

If the abnormality determination unit 5 determines that the abnormality is found, the primary abnormality diagnosis unit 7 uses the primary diagnostic knowledge base 6 to make an inference. Since all the data necessary for diagnosing the cause of the abnormality are small, data necessary for diagnosing the abnormality of the bearing, namely the temperature data in the oil tank, the bearing oil level, and the circulation Amount of oil, oil fouling, water mixture, shaft current, oil film pressure, bearing gap, etc., and equipment conditions for demonstrating a candidate for an abnormal cause predicted based on the data obtained by the sensor 2, for example, bearing temperature. Is above the set value and the amount of cooling water is smaller than in the normal state, it is estimated that there is an abnormality such as damage to the piping of the cooling water, and this estimation result and a list of inspection points to be inspected 3 are presented. And create this Present.

Based on the inspection list 3 obtained by the first diagnosis, the maintenance staff of the plant confirms the status of the equipment of the plant and measures the data to check the status of the abnormality diagnosis device main body 4 If the input is input to, the secondary abnormality diagnosing unit 9 of the abnormality diagnosing device main body 4 uses the secondary diagnostic knowledge base 8 to make an inference based on the input contents, and determines the final cause of the abnormality. Corresponding measures are required to remove the cause of the abnormality, and the cause of the abnormality and the countermeasure processing display section 10 are presented.

As described above, in this embodiment, the detection results of the sensors 1 and 2 are fetched by the abnormality diagnosis device main body 4, and an abnormality occurs in each of the diagnostic target devices based on these detection results. If there is an abnormality, if there is an abnormality, a candidate for the cause of the abnormality and an inspection that describes the points to be inspected for each device on the diagnostic target device side are established to establish the cause of the abnormality. When list 3 is presented and the inspection points presented in this list 3 are examined and the inspection result is input, this is taken in to finally investigate the cause of the abnormality and take action to eliminate the abnormality. Since the measures are presented, even if the number of sensors 1 provided in the device to be subjected to the abnormality diagnosis is reduced, the diagnostic function equivalent to the conventional one can be ensured. Even in a plant where the cost of plant equipment is low, it is possible to perform abnormality diagnosis with the same accuracy as before.

[0026]

[Effect of device]

 As described above, according to the present invention, even in a plant such as a hydraulic power plant where the cost of plant equipment is low, it is possible to secure the diagnostic function equivalent to the conventional one at a low cost commensurate with this.

[Brief description of drawings]

FIG. 1 is a block diagram showing an embodiment of an abnormality diagnosis device according to the present invention.

FIG. 2 is a block diagram showing an example of a conventionally known abnormality diagnosis device.

[Explanation of symbols]

 1, 2 Sensors 3 Inspection list 4 Abnormality diagnosis device body 5 Abnormality judgment unit 6 Primary diagnosis knowledge base 7 Primary abnormality diagnosis unit 8 Secondary diagnosis knowledge base 9 Secondary abnormality diagnosis unit 10 Abnormal cause result and countermeasure Treatment display

Claims (1)

[Scope of utility model registration request] 1. An abnormality diagnostic device for investigating the cause of an abnormality and presenting a countermeasure when an abnormality occurs in each device constituting the device to be diagnosed. Based on the data, a primary diagnosis processing unit that presents a candidate for an abnormality cause and a location to be inspected for each device on the diagnosis target device side, and an inspection location presented by this primary diagnosis processing unit are checked. Then, when the inspection result is input, a final diagnosis of the cause of the abnormality based on the inspection result and a secondary diagnosis processing unit that presents a countermeasure to eliminate the abnormality are provided. An abnormality diagnosis device.