1. A method for judging the health state of equipment is characterized by comprising the following steps:

according to factory parameters of equipment, constructing a three-dimensional model of the equipment;

acquiring real-time detection data of each preset position of the equipment;

and under the condition that the first position is judged to be abnormal according to the real-time detection data of each preset position, marking the first position on the three-dimensional model correspondingly, wherein the first position is one of the preset positions.

2. The method of claim 1, wherein the detecting the data in real time comprises: real-time vibration data; judging that the first position is abnormal, comprising the following steps:

and under the condition that first real-time vibration data corresponding to the first position of the equipment is larger than a first threshold value and the duration time is larger than a second threshold value, judging that the first position is abnormal.

3. The method of claim 2, wherein the detecting the data in real time comprises: real-time temperature data; judging that the first position is abnormal, comprising the following steps:

when the first real-time vibration data corresponding to the first position of the equipment is not larger than a first threshold, or when the first real-time vibration data corresponding to the first position of the equipment is larger than the first threshold but the duration time is not larger than a second threshold, if the real-time temperature data of the first position is larger than a third threshold, it is determined that the first position is abnormal.

4. The method of claim 1, further comprising: and accessing the real-time detection data into an expert knowledge base, and determining a diagnosis result aiming at the abnormity.

5. The method of claim 1, further comprising:

collecting a plurality of groups of real-time detection data of the abnormal first positions when the abnormality occurs;

and visually analyzing the plurality of groups of real-time detection data to determine the abnormal occurrence frequency of the first position.

6. The method of claim 1, further comprising: when the preset period is reached and the abnormality occurs, the equipment is patrolled and examined, and patrolling and examining data are recorded.

7. The method according to any one of claims 1 to 6, characterized in that the method further comprises: and displaying detection result data on a page where the three-dimensional model is located, wherein the detection result data comprises the real-time detection data, the abnormal occurrence frequency and the routing inspection data.

8. An apparatus for determining a health status of a device, comprising:

the construction module is used for constructing a three-dimensional model of the equipment according to factory parameters of the equipment;

the acquisition module is used for acquiring real-time detection data of each preset position of the equipment;

and the judging module is used for correspondingly marking the first position on the three-dimensional model under the condition of judging that the first position is abnormal according to the real-time detection data of each preset position, wherein the first position is one of the preset positions.

9. The apparatus according to claim 8, wherein the real-time detection data includes: real-time vibration data; the judging module judges that the first position is abnormal, and comprises the following steps:

and under the condition that first real-time vibration data corresponding to the first position of the equipment is larger than a first threshold value and the duration time is larger than a second threshold value, judging that the first position is abnormal.

10. The apparatus according to claim 9, wherein the real-time detection data includes: real-time temperature data; the judging module judges that the first position is abnormal, and comprises the following steps:

when the first real-time vibration data corresponding to the first position of the equipment is not larger than a first threshold, or when the first real-time vibration data corresponding to the first position of the equipment is larger than the first threshold but the duration time is not larger than a second threshold, if the real-time temperature data of the first position is larger than a third threshold, it is determined that the first position is abnormal.

Background

At present, related technicians mainly judge the health state of equipment in modes of manual handheld equipment detection, standard observation of the periphery of the equipment, sound sampling, factory parameter information and data checking of the equipment and the like. However, the judgment method only depends on the experience of the related technical personnel for judgment, and has no complete and accurate evaluation basis. Therefore, in case of abnormality of the device, the related technical personnel cannot get accurate feedback in time.

Disclosure of Invention

The application discloses a method and a device for judging the health state of equipment, which aim to solve the problem that related technicians cannot accurately feed back the equipment in time under the condition of abnormity of the equipment.

In order to solve the above problems, the following technical solutions are adopted in the present application:

in a first aspect, an embodiment of the present application discloses a method for determining a health state of a device, including: according to factory parameters of equipment, constructing a three-dimensional model of the equipment; acquiring real-time detection data of each preset position of the equipment; and under the condition that the first position is judged to be abnormal according to the real-time detection data of each preset position, marking the first position on the three-dimensional model correspondingly, wherein the first position is one of the preset positions.

In a second aspect, an embodiment of the present application discloses an apparatus for determining a health status of a device, including: the construction module is used for constructing a three-dimensional model of the equipment according to factory parameters of the equipment; the acquisition module is used for acquiring real-time detection data of each preset position of the equipment; and the judging module is used for correspondingly marking the first position on the three-dimensional model under the condition of judging that the first position is abnormal according to the real-time detection data of each preset position, wherein the first position is one of the preset positions.

The technical scheme adopted by the application can achieve the following beneficial effects:

the method for judging the health state of the equipment provided by the embodiment of the application comprises the following steps: according to factory parameters of equipment, constructing a three-dimensional model of the equipment; acquiring real-time detection data of each preset position of the equipment; and under the condition that the first position is judged to be abnormal according to the real-time detection data of each preset position, marking the first position on the three-dimensional model correspondingly, wherein the first position is one of the preset positions. According to the method and the device, the three-dimensional model of the equipment is constructed, the first position is correspondingly marked on the three-dimensional model under the condition that the first position of the equipment is judged to be abnormal, three-dimensional display of the abnormal position of the equipment is achieved, and the problem that related technicians cannot timely obtain accurate feedback under the condition that the equipment is abnormal is solved.

Drawings

Fig. 1 is a schematic flowchart of a method for determining a health status of a device according to an embodiment of the present disclosure;

fig. 2 is a schematic structural diagram of an apparatus for determining a health status of a device according to an embodiment of the present disclosure.

Detailed Description

The technical solutions in the embodiments of the present application will be described clearly below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments that can be derived by one of ordinary skill in the art from the embodiments given herein are intended to be within the scope of the present disclosure.

The terms first, second and the like in the description and in the claims of the present application are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that embodiments of the application may be practiced in sequences other than those illustrated or described herein, and that the terms "first," "second," and the like are generally used herein in a generic sense and do not limit the number of terms, e.g., the first term can be one or more than one. In addition, "and/or" in the specification and claims means at least one of connected objects, a character "/" generally means that a preceding and succeeding related objects are in an "or" relationship.

The embodiment of the application discloses a method for judging the health state of equipment, and fig. 1 is a flow schematic diagram of the method for judging the health state of equipment disclosed in the embodiment of the application.

And S110, constructing a three-dimensional model of the equipment according to factory parameters of the equipment.

In the present application, a three-dimensional model of the device may be constructed from data of the device itself. Specifically, a three-dimensional model of the device can be constructed according to information such as a factory structure drawing of the device, a key component and a position of the key component.

And S120, acquiring real-time detection data of each preset position of the equipment.

Specifically, a sensor may be installed at each preset position of the device, and real-time detection data of each preset position of the device is acquired through the sensor, where each preset position of the device is a position where a fault easily occurs in the device, which is determined by a technical expert in the related field. Furthermore, the acceleration sensor can be installed at each preset position of the equipment to acquire real-time vibration data of each preset position, and the real-time vibration data can be used as one of important reference indexes for judging whether the corresponding position is abnormal or not. In addition, real-time temperature data, real-time pressure data, real-time displacement data and the like can be acquired by accessing equipment data in a plant-level monitoring information system (SIS), and the equipment data acquired by the SIS can be used as one of important reference indexes for judging whether the equipment is abnormal or not.

S130, under the condition that the first position is judged to be abnormal according to the real-time detection data of each preset position, the first position is correspondingly marked on the three-dimensional model, wherein the first position is one of the preset positions.

In the application, under the condition that the first position is judged to be abnormal according to the real-time detection data of each preset position, the first position can be marked on the three-dimensional model through different colors. The different colors may indicate different degrees of severity of the abnormality in the first position, for example, green may indicate that the first position is in a normal state, blue may indicate that the first position is in a slightly abnormal state, and yellow may indicate that the first position is in a severely abnormal state.

Furthermore, the different severity degrees of the abnormality of the first position corresponding to the different colors can be displayed under the three-dimensional model at the same time, and the display content also comprises real-time detection data of the first position.

The method for judging the health state of the equipment provided by the embodiment of the application comprises the following steps: according to factory parameters of equipment, constructing a three-dimensional model of the equipment; acquiring real-time detection data of each preset position of the equipment; and under the condition that the first position is judged to be abnormal according to the real-time detection data of each preset position, marking the first position on the three-dimensional model correspondingly, wherein the first position is one of the preset positions. According to the method and the device, the three-dimensional model of the equipment is constructed, the first position is correspondingly marked on the three-dimensional model under the condition that the first position of the equipment is judged to be abnormal, three-dimensional display of the abnormal position of the equipment is achieved, and the problem that related technicians cannot timely obtain accurate feedback under the condition that the equipment is abnormal is solved.

In this embodiment of the present application, the real-time detection data may include: real-time vibration data; judging that the first position is abnormal, comprising the following steps: and under the condition that first real-time vibration data corresponding to the first position of the equipment is larger than a first threshold value and the duration time is larger than a second threshold value, judging that the first position is abnormal. Taking a motor with a rotating speed of 3000r/min in the equipment as an example, when the motor is in a normal state, vibration data measured on a shaft is generally 20-50um, when the motor is in a slight abnormal state, vibration data measured on the shaft is generally 51-80um, and when the motor is in a serious abnormal state, vibration data measured on the shaft is generally more than 81um, that is, when real-time vibration data corresponding to the motor is more than 51um and the duration is more than a second threshold, the motor can be considered as a normal state, and is judged to be abnormal, wherein the second threshold can be 5 minutes.

In the present application, the magnitudes of the first threshold and the second threshold may be determined according to actual situations, and the present application does not specifically limit the magnitudes of the first threshold and the second threshold.

Since the vibration may cause the temperature to rise, in a further aspect, the real-time detection data may include: real-time temperature data; judging that the first position is abnormal, comprising the following steps: when the first real-time vibration data corresponding to the first position of the equipment is not larger than a first threshold, or when the first real-time vibration data corresponding to the first position of the equipment is larger than the first threshold but the duration time is not larger than a second threshold, if the real-time temperature data of the first position is larger than a third threshold, it is determined that the first position is abnormal. That is to say, when the first real-time vibration data corresponding to the first position is not greater than the first threshold, if the real-time temperature data of the first position is greater than the third threshold, it is determined that the first position is abnormal, or when the first real-time vibration data corresponding to the first position is greater than the first threshold but the duration time is not greater than the second threshold, if the real-time temperature data of the first position is greater than the third threshold, it is determined that the first position is abnormal. In the present application, the magnitude of the third threshold may be determined according to actual conditions, and the magnitude of the third threshold is not specifically limited in the present application.

In the embodiment of the present application, the method may further include: and accessing the real-time detection data into an expert knowledge base, and determining a diagnosis result aiming at the abnormity. That is, when an abnormality occurs at the first position of the device, the real-time detection data corresponding to the first position is accessed to the expert knowledge base, and the diagnosis result of the abnormality at the first position of the device can be determined by the expert knowledge base. The expert knowledge base comprises various regularly-searchable abnormal expressions and summary of technical communication conclusions in the same industry, and problem feedback corresponding to the abnormality can be obtained as long as real-time detection data is accessed into the expert knowledge base to perform intelligent calculation on big data.

The method for judging the health state of the device disclosed by the embodiment of the application can further comprise the following steps: collecting a plurality of groups of real-time detection data of the abnormal first positions when the abnormality occurs; and visually analyzing the plurality of groups of real-time detection data to determine the abnormal occurrence frequency of the first position. Specifically, multiple sets of real-time detection data of the first position within a period of time can be collected to the data center, the multiple sets of real-time detection data within the period of time include multiple sets of real-time detection data of the abnormal first position within the period of time, and then the frequency of the abnormality occurrence of the first position is determined by performing visual analysis on the multiple sets of real-time detection data collected within the period of time. The determination of the abnormal occurrence frequency can provide important reference value for the predictability judgment of the abnormal problem, and related technicians can be warned through the abnormal occurrence frequency before the next abnormal occurrence.

In the application, the multiple groups of real-time detection data can be visually analyzed through a line graph, a curve graph, a time domain graph, a frequency spectrum graph, a waterfall graph and the like, and the graph for visually analyzing the multiple groups of real-time detection data can also be displayed on a page where a three-dimensional model of the equipment is located, so that related technicians can judge the health state of the equipment more intuitively and clearly.

In a possible implementation manner, the method for determining the health state of the device disclosed in the embodiment of the present application may further include: when the preset period is reached and the abnormality occurs, the equipment is patrolled and examined, and patrolling and examining data are recorded. That is to say, in a fixed time period, the relevant manual instrument needs to be held to patrol the equipment and patrol the data, and when the equipment is abnormal, the relevant manual instrument needs to be held to patrol the equipment and patrol the data. In case of abnormality of the equipment, the recorded two types of inspection data can provide reference for related technicians. The objects to be inspected may include temperature, noise, dirt around the device, whether objects around the device cross the device, and the like.

In this embodiment of the present application, the method for determining the health status of the device disclosed in this embodiment of the present application may further include: and displaying detection result data on a page where the three-dimensional model is located, wherein the detection result data comprises the real-time detection data, the abnormal occurrence frequency and the routing inspection data. That is to say, the relevant data of the equipment such as the real-time detection data, the abnormal occurrence frequency, the routing inspection data and the like can be displayed on the page where the three-dimensional model of the equipment is located, and the current state of the equipment can be displayed more intuitively.

Fig. 2 is a schematic structural diagram of an apparatus for determining a health status of a device according to an embodiment of the present disclosure. As shown in fig. 2, the apparatus 200 for determining the health status of a device includes a building module 210, an obtaining module 220, and a determining module 230.

In the present application, the building module 210 is configured to build a three-dimensional model of a device according to factory parameters of the device; an obtaining module 220, configured to obtain real-time detection data of each preset position of the device; the determining module 230 is configured to mark the first position on the three-dimensional model correspondingly when it is determined that the first position is abnormal according to the real-time detection data of each preset position, where the first position is one of the preset positions.

In one implementation, the real-time detection data includes: real-time vibration data; the determining module 230 determines that the first position is abnormal, including: and under the condition that first real-time vibration data corresponding to the first position of the equipment is larger than a first threshold value and the duration time is larger than a second threshold value, judging that the first position is abnormal.

In one implementation, the real-time detection data includes: real-time temperature data; the determining module 230 determines that the first position is abnormal, including: when the first real-time vibration data corresponding to the first position of the equipment is not larger than a first threshold, or when the first real-time vibration data corresponding to the first position of the equipment is larger than the first threshold but the duration time is not larger than a second threshold, if the real-time temperature data of the first position is larger than a third threshold, it is determined that the first position is abnormal.

In one implementation, the method further comprises: and the determining module is used for accessing the real-time detection data into an expert knowledge base and determining a diagnosis result aiming at the abnormity.

In one implementation, the determining module 230 is further configured to: collecting a plurality of groups of real-time detection data of the abnormal first positions when the abnormality occurs; and visually analyzing the plurality of groups of real-time detection data to determine the abnormal occurrence frequency of the first position.

In one implementation, the method further comprises: and the inspection module is used for inspecting the equipment and recording inspection data when the preset period reaches and the abnormality occurs.

In one implementation, the method further comprises: and the display module is used for displaying detection result data on a page where the three-dimensional model is located, wherein the detection result data comprises the real-time detection data, the abnormal occurrence frequency and the routing inspection data.

The apparatus 200 provided in this embodiment of the application can perform the methods described in the foregoing method embodiments, and implement the functions and beneficial effects of the methods described in the foregoing method embodiments, which are not described herein again.

In the embodiments of the present application, the difference between the embodiments is described in detail, and different optimization features between the embodiments can be combined to form a better embodiment as long as the differences are not contradictory, and further description is omitted here in view of brevity of the text.

The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.