CN116086540A - Industrial equipment state monitoring method, system and storage medium - Google Patents

Abstract

The application provides an industrial equipment state monitoring method, an industrial equipment state monitoring system and a storage medium, which can solve the contradiction of data acquisition frequency, abundance and service life of an industrial equipment state monitoring device in the prior art. The industrial equipment state monitoring method comprises the following steps: acquiring instantaneous value data acquired by a sensor; wherein the instantaneous value data is industrial equipment state data acquired once in each period of the sensor; confirming that abnormal data exists in the instantaneous value data; controlling the sensor to acquire waveform value data; the waveform value data are industrial equipment state data acquired for a plurality of times in each period of the sensor; confirm that the amount of power stored in the power storage circuit is below a first threshold; the waveform value data is stored locally.

Description

Industrial equipment condition monitoring method, system and storage medium

technical field

The present application relates to the field of industrial monitoring, in particular to a method, system and storage medium for monitoring the status of industrial equipment.

Background technique

In today's medium and large general manufacturing enterprises, there may be a large number of discrete low-voltage induction motors. Most of these motors and their drive systems use ordinary three-phase asynchronous motors, and many of them are models without built-in condition monitoring. In order to ensure that the motor can be in normal operation, enterprises need to monitor the state of the motor in real time.

In order to be able to monitor the status of industrial equipment represented by motors in real time, industrial equipment status monitoring devices, such as various types of sensors, are installed on industrial equipment such as motors, fans, gas turbines, and pumps. Upload equipment status data to obtain the operating status of industrial equipment.

However, the existing industrial equipment status monitoring devices face an important contradiction due to the use of a single source such as batteries as the power supply system: the contradiction between the dimension and abundance of data collection and the power of the power supply unit, that is, if you want to obtain more data, the device The battery life of the battery will be greatly reduced, increasing the operation and maintenance cost; if you want to reduce the operation and maintenance cost and increase the operation and maintenance interval, you need to sacrifice the frequency of data collection. For example, a 3.3 Ah battery is used by the sensor. If the sensor collects data once an hour, the battery life can generally last for 1.5 to 2 years; if the sensor collects data once every ten minutes, the battery life will be shortened to several months.

Contents of the invention

In order to solve the contradiction between the service life of the above-mentioned industrial equipment condition monitoring device and the frequency and abundance of data collection, and to solve the actual needs of users for data at the business layer, the purpose of this application is to provide a method, system and storage medium for industrial equipment condition monitoring .

In order to solve the above technical problems, in the first aspect, the present application provides an industrial equipment condition monitoring method, which is applied to an industrial equipment condition monitoring system. The industrial equipment condition monitoring system includes a sensor and an electric energy storage circuit; the method includes:

Acquiring the instantaneous value data collected by the sensor; wherein, the instantaneous value data is industrial equipment state data collected by the sensor once per cycle;

Confirm that there is abnormal data in the instantaneous value data;

Controlling the sensor to collect waveform value data; wherein, the waveform value data is industrial equipment status data collected multiple times per cycle by the sensor;

Confirming that the electric quantity stored in the electric energy storage circuit is lower than the first threshold;

The waveform value data is stored locally.

Optionally, the industrial equipment condition monitoring system also includes a wireless communication module; after storing the waveform value data locally, the method further includes:

Confirming that the electric quantity stored in the electric energy storage circuit is not lower than the first threshold;

uploading the stored waveform value data through the wireless communication module.

Optionally, the method also includes:

Confirm that the status data of the industrial equipment is non-abnormal data;

The sensor is controlled to collect instantaneous value data.

Optionally, the confirming that there is abnormal data in the instantaneous value data includes:

Obtain the instantaneous value data of the preset number continuously collected;

According to the preset number of instantaneous value data, it is confirmed that there is abnormal data in the instantaneous value data.

Optionally, the confirming that there is abnormal data in the instantaneous value data according to the preset number of instantaneous value data includes:

calculating the variance of the preset number of instantaneous value data;

judging whether the variance is greater than a second threshold;

If yes, abnormal data exists in the instantaneous value data.

Optionally, the confirming that there is abnormal data in the instantaneous value data according to the preset number of instantaneous value data includes:

Calculating the proportion of the instantaneous value data exceeding the target threshold among the preset number of instantaneous value data;

judging whether the proportion is greater than a third threshold;

If yes, abnormal data exists in the instantaneous value data.

Optionally, the industrial equipment condition monitoring system also includes a data interface; the method also includes:

receiving a data transmission instruction from the data interface;

Transmitting the stored waveform value data to the data interface.

In the second aspect, an industrial equipment status monitoring system is provided, the industrial equipment status monitoring system includes an industrial equipment status monitoring device and an environmental energy collection node connected to the industrial equipment status monitoring device; wherein, the industrial equipment status monitoring The device includes a processor, a sensor, and an electrical energy storage circuit;

The processor is used to: obtain the instantaneous value data collected by the sensor; confirm that there is abnormal data in the instantaneous value data; control the sensor to collect waveform value data; confirm that the electric energy stored in the electric energy storage circuit is lower than the first threshold; The waveform value data; wherein, the instantaneous value data is the industrial equipment status data collected by the sensor once per cycle, and the waveform value data is the industrial equipment status data collected by the sensor multiple times per cycle.

Optionally, the industrial equipment status monitoring device also includes a wireless communication module;

The processor is further configured to: confirm that the electric quantity stored in the electric energy storage circuit is not lower than the first threshold; and upload the stored waveform value data through the wireless communication module.

In a third aspect, a storage medium is provided, and a computer program is stored in the storage medium, wherein the computer program is configured to execute the method described in any one of the above first aspects when running.

Based on the above-mentioned industrial equipment state monitoring method, the application controls the sensor to be in the instantaneous value data acquisition mode when the instantaneous value data collected by the sensor is non-abnormal data; only when the instantaneous value data collected by the sensor is non-abnormal data, the control sensor is in In the waveform value data acquisition mode, it not only guarantees the data acquisition requirements, but also reduces the power consumption, avoiding the high power consumption caused by ensuring the frequency and abundance of data acquisition, which affects the service life of the industrial equipment status monitoring device. In addition, when the power of the industrial equipment status monitoring device is low, the waveform value data is stored locally, and the upload of the waveform value data is prohibited, which further reduces power consumption without affecting the data collection requirements, and avoids data failure due to low power. loss.

The industrial equipment status monitoring method and storage medium provided in the present application belong to the same inventive concept as the industrial equipment status monitoring system, and thus have the same beneficial effects, and will not be repeated here.

Description of drawings

Fig. 1 is a structural block diagram of an industrial equipment condition monitoring system provided by an exemplary embodiment of the present application;

Fig. 2 is an exploded diagram 1 of the industrial equipment condition monitoring device in Fig. 1;

Fig. 3 is a sectional view of the mounting base in Fig. 2;

Fig. 4 Explosion diagram 2 of the industrial equipment condition monitoring device in Fig. 1;

Fig. 5 is a sectional view of the mounting base in Fig. 4;

Fig. 6 is a schematic structural view of the mounting base in Fig. 1;

Fig. 7 is a partial exploded view of the installation base in Fig. 1;

Fig. 8 is a schematic structural view of the shell in Fig. 1;

Fig. 9 is a partial cross-sectional view of the industrial equipment condition monitoring device in Fig. 1;

Fig. 10 is a sectional view of the housing in Fig. 1;

Fig. 11 is a schematic flowchart of a method for monitoring the status of industrial equipment provided by an exemplary embodiment of the present application.

Detailed ways

The specific implementation manner of the present invention will be described in more detail below with reference to schematic diagrams. Advantages and features of the present invention will be apparent from the following description and claims. It should be noted that all the drawings are in a very simplified form and use imprecise scales, and are only used to facilitate and clearly assist the purpose of illustrating the embodiments of the present invention.

In the description of the present invention, it should be understood that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "left", "right" etc. is based on the orientation or positional relationship shown in the drawings , is only for the convenience of describing the present invention and simplifying the description, but does not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.

In addition, the terms "first" and "second" are used for descriptive purposes only, and cannot be interpreted as indicating or implying relative importance or implicitly specifying the quantity of indicated technical features. Thus, a feature defined as "first" and "second" may explicitly or implicitly include one or more of these features. In the description of the present invention, "plurality" means at least two, such as two, three, etc., unless otherwise specifically defined.

Please refer to FIG. 1 . FIG. 1 is a structural block diagram of an industrial equipment condition monitoring system provided by an exemplary embodiment of the present application. As shown in FIG. 1 , the embodiment of the present application firstly provides an industrial equipment status monitoring system, the industrial equipment status monitoring system includes an industrial equipment status monitoring device 10 and a plurality of environmental energy collection nodes.

By arranging a plurality of environmental energy collection nodes, it can be ensured that there is enough electricity to supply the industrial equipment status monitoring device 10 to work. At the same time, in order to avoid that the industrial equipment status monitoring device 10 has multiple interfaces, only one power input interface can be set on the industrial equipment status monitoring device 10, in order to ensure that the industrial equipment status monitoring device 10 can work with one power input interface The ambient energy collection node includes a power output interface and a cascading interface connected to the power output interface. The power output interface of one environmental energy collection node among the plurality of environmental energy collection nodes is connected to the power input interface of the industrial equipment status monitoring device 10, and the cascading interface of the environmental energy collection node is used to connect other environmental energy collection nodes. Power output interface.

That is to say, multiple environmental energy collection nodes are connected in series to form a current transmission line, and the currents of multiple environmental energy collection nodes are integrated into one current transmission line to enter the power input interface of the industrial equipment status monitoring device 10, avoiding setting multiple A power input interface reduces the cost.

The environmental energy collection node collects micro energy in the environment, such as indoor micro light energy, temperature difference energy, and vibration energy during operation of industrial equipment, and then converts micro energy into electrical energy to supply the industrial equipment status monitoring device 10 . In order to prevent the energy collected by the environmental energy collection node from being unable to generate electricity due to a single environmental factor, for example, if the indoor light is not strong enough, the energy generation efficiency of the environmental energy collection node using photovoltaic power generation is not high. Therefore, the environmental energy collection nodes at least include a first environmental energy collection node 21 and a second environmental energy collection node different from the first environmental energy collection node.

In the embodiment shown in FIG. 1 , only two environmental energy collection nodes are shown, namely a first environmental energy collection node 21 and a second environmental energy collection node 22 . Wherein, the first environmental energy collection node 21 is a temperature difference energy collection node, and the temperature difference energy collection node includes a thermoelectric power generation chip, a first magnetic attraction module and a heat dissipation module. The first magnetic attraction module is located at the hot end of the thermoelectric power generation chip to be fixed on the surface of the industrial equipment, and the heat dissipation module is located at the cold end of the thermoelectric power generation chip. The heat dissipation module can be arranged as shown in FIG. 1 the heat sink.

The second ambient energy collection node 22 may be a light energy collection node, and the light energy collection node includes a photovoltaic power generation module and a second magnetic attraction module.

Next, an industrial equipment condition monitoring device will be described. FIG. 2 is an exploded view 1 of the industrial equipment condition monitoring device in FIG. 1 . As shown in FIG. 2 , the industrial equipment condition monitoring device 10 includes a sensor, an installation base 11 and a processor. Wherein, the sensor includes a temperature sensor and an acceleration sensor 144, and the temperature sensor includes a first temperature sensor 141 and a second temperature sensor 142; chip 14.

Wherein, the first processor chip 13 is provided with an electric energy storage circuit and a wireless communication module, and the casing 12 is provided with a power input interface 132 connected to the electric energy storage circuit. The electric energy storage circuit can store electric energy through the supercapacitor 131 in FIG. 2 . The wireless communication module can be a Bluetooth module or a low-power LoRa module. Of course, in other embodiments, the electric energy can also be stored by a rechargeable lithium battery.

It should be noted that the power input interface 132 provided on the industrial equipment status monitoring device 10 is a data interface, preferably, the data interface is a USB Type-C interface. That is to say, the power input interface 132 can also perform the function of data transmission.

Please refer to FIG. 1 , FIG. 6 and FIG. 7 , FIG. 6 is a schematic structural view of the housing in FIG. 1 , and FIG. 7 is a partial cross-sectional view of the industrial equipment condition monitoring device in FIG. 1 . As shown in FIG. 1 , FIG. 6 and FIG. 7 , the first processor chip 13 is clamped on the inner wall of the casing 12 . Wherein, a fastening column 123 is protruded on the inner wall of the casing 12, the fastening column area 3 is located between the first processor chip 13 and the top of the casing 12, and the fastening column 123 is provided with a second threaded hole; the industrial equipment status monitoring device 10 A second fastening nut 124 is also included, and the second fastening nut 124 passes through the first processor chip 13 and is screwed into the second threaded hole. By protruding the fastening post 123, 13 is tightly fixed on the fastening post 123 and clamped on the inner wall of the housing 12, further stabilizing the components in the industrial equipment condition monitoring device 10, avoiding the first processor chip 13 Damaged by vibration during operation of industrial equipment.

As shown in FIGS. 7 and 8 , a damping spring 15 is connected between the first processor chip 13 and the top of the housing 12 , which further improves the shock resistance of the first processor chip 13 in the industrial equipment condition monitoring device 10 .

Optionally, as shown in FIG. 2 , a first cover 1420 sleeved on the temperature probe of the second temperature sensor 142 may also be provided on the housing 12 , and the first cover 1420 is provided with holes. Further, a power button 17 may also be provided on the casing 12 . In order to protect the power input interface 132 from dust, a dustproof plug 1320 may also be provided on the housing 12 . In order to keep the internal and external pressure balance of the industrial equipment condition monitoring device 10 , a breathing valve 143 and a second cover 1430 sleeved on the breathing valve 143 may also be provided on the casing 12 , and holes are provided on the second cover 1430 .

In this application, the installation base 11 can have different structures according to different installation methods: Fig. 2 and Fig. 3 are structural diagrams of the magnetic installation method of the installation base, wherein Fig. 2 is an exploded view of the industrial equipment status monitoring device in Fig. 1 , Fig. 3 is a cross-sectional view of the installation base in Fig. 2; Fig. 4 and Fig. 5 are structural diagrams of the bolt installation method of the installation base, wherein Fig. 4 is an exploded view of the industrial equipment condition monitoring device in Fig. 1, and Fig. 5 is Fig. 4 Cutaway view of the mounting base. Next, the two embodiments are introduced respectively.

Magnetic installation method: Please refer to Figure 2 and Figure 3, the bottom of the installation base 11 is embedded with a magnetic attraction module 111 for fixing on the surface of industrial equipment and a first temperature sensor 141 for measuring the surface temperature of industrial equipment. There is a second temperature sensor 142 for measuring the ambient temperature; both the first temperature sensor 141 and the second temperature sensor 142 are connected to the first processor chip 13 .

Bolt installation method: Please refer to Figure 3 and Figure 4, the bottom of the installation base 11 is embedded with the installation bolt 115' for installation in the eye hole of the industrial equipment (such as the eye hole of the motor) and the first temperature sensor 141', the installation bolt 115' A hole is provided for the first temperature sensor 141 ′ to pass through the hole to measure the surface temperature of the industrial equipment. Both the first temperature sensor 141' and the second temperature sensor 142 are connected to the first processor chip 13. Preferably, the first temperature sensor 141' is a temperature sensor for infrared temperature measurement.

It should be noted that, for the installation base 11 in the way of bolt installation, the magnetic attraction module 111 for fixing on the surface of the industrial equipment may also be embedded. That is to say, the industrial equipment status monitoring device 10 can be installed in two ways: one is to insert the installation bolt 115' into the eye hole of the industrial equipment and tighten it; The suction module 111 is adsorbed on the surface of the industrial equipment.

As shown in Figures 8 and 9, the second processor chip 14 is clamped on the inner wall of the mounting base 11 and connected to the first processor chip 13, the second processor chip 14 is provided with an acceleration sensor 144, and the acceleration sensor 144 is connected to the The second processor chip 12 .

As shown in FIG. 6 and FIG. 7 , a clamping bar 112 protrudes from the inner wall of the installation base 11 , and a first clamping slot is formed on the clamping bar 112 , and the edge of the second processor chip 14 is clamped in the clamping slot. The mounting base 11 is provided with a support column 113 at the bottom of the second processor chip 14 for supporting the second processor chip 14 . The second processor chip 14 and the supporting column 113 are connected by fixing bolts, and the fixing bolt 114 passes through the second processor chip 14 and is inserted into the top of the supporting column 113 .

Optionally, the bottom of the mounting base 11 is provided with a screw hole and a nut 115 embedded in the screw hole, and the nut 115 is provided with a hole for the temperature probe of the first temperature sensor 141 to pass through the hole and contact the surface of the industrial equipment.

As shown in Fig. 6, Fig. 7 and Fig. 8, the outer wall of the bottom of the installation base 11 is provided with a rotating card slot 116, and the inner wall of the housing 12 is provided with a rotating card 121, and the rotating card bar 121 is fixed in the rotating card slot through the rotating housing 12. .

Optionally, the mounting base 11 is provided with a first threaded hole, and the housing 12 is provided with a through hole. The industrial equipment status monitoring device 10 also includes a first fastening nut 122; when the rotating clip bar 121 is clamped in the rotating clip slot 116 through the rotating housing 12, the through hole corresponds to the first threaded hole, and the first fastening nut 122 penetrates first threaded hole and screw into the first threaded hole. Through the first fastening nut 122 , the installation base 11 and the housing 12 can be locked, and the industrial equipment condition monitoring device 10 will not be shaken apart when vibrating.

As shown in FIG. 8 , FIG. 9 and FIG. 10 , the mounting base 11 is a metal base, and the first processor chip 13 extends a metal ground piece 16 along the direction of the mounting base 11 and is connected to the metal base.

The processor of the industrial equipment status monitoring device in this application can be used to: obtain the instantaneous value data collected by the sensor; confirm that there is abnormal data in the instantaneous value data; control the sensor to collect waveform value data; confirm the electric energy stored in the electric energy storage circuit Below a first threshold; storing said waveform value data locally.

Wherein, the instantaneous value data is industrial equipment status data collected by the sensor once per cycle, and the waveform value data is industrial equipment status data collected by the sensor multiple times per cycle. For example, when the industrial equipment is a motor and the sensor is a temperature sensor, the instantaneous value data is the temperature data collected by the temperature sensor on the surface of the motor every 30 seconds, and the waveform value data is the temperature data collected by the temperature sensor on the surface of the motor 20 or more times every 30 seconds temperature data.

The value of the first threshold may be set artificially, which is not specifically limited in the present disclosure. For example, when the electric energy storage circuit includes a supercapacitor, the electricity stored in the electric energy storage circuit can be the voltage value of the supercapacitor. When the first threshold is set to 2.4V, if the voltage value of the supercapacitor is lower than 2.4V, the local The waveform value data is stored.

Wherein, the instantaneous value data is industrial equipment status data collected by the sensor once every cycle. For example, if the industrial equipment is a motor and the sensor is a temperature sensor, the instantaneous value data is the temperature data on the surface of the motor collected by the temperature sensor every 30 seconds.

If the operating status of industrial equipment is abnormal, the instantaneous value data collected by the sensor is likely to be different from the instantaneous value data collected when the industrial equipment is operating normally. For example, if the industrial equipment is a motor and the sensor is a temperature sensor, if the motor is damaged, for example, the temperature data collected by the temperature sensor will be too high.

The processor of the industrial equipment state monitoring device in the present application is used to confirm that there is abnormal data in the instantaneous value data through the following steps: acquire the instantaneous value data of the preset number continuously collected; according to the instantaneous value data of the preset number, confirm There is abnormal data in the instantaneous value data.

Wherein, the preset number can be manually set, for example, 20 instantaneous values collected continuously are obtained. For this, the present disclosure does not specifically limit it.

In an embodiment, the processor may confirm that there is abnormal data in the instantaneous value data through the following steps: calculating the variance of the preset number of instantaneous value data; judging whether the variance is greater than a second threshold; if so, the Abnormal data exists in the instantaneous value data. Wherein, the second threshold may be set artificially, which is not specifically limited in the present disclosure.

Taking continuous collection of 20 instantaneous value data as an example, analyze the variance distribution of these 20 instantaneous value data to determine whether the instantaneous value data has started to be discrete. If the variance statistics are greater than the preset second threshold, it is determined that an abnormality has occurred. That is, there is abnormal data in the instantaneous value data. If the variance is less than or equal to the second threshold, it is determined to be normal, that is, the instantaneous value data is non-abnormal data.

In another embodiment, the processor may confirm that there is abnormal data in the instantaneous value data through the following steps: calculating the proportion of the instantaneous value data exceeding the target threshold among the preset number of instantaneous value data; Whether the ratio is greater than the third threshold; if yes, abnormal data exists in the instantaneous value data. Wherein, the third threshold may be set artificially, which is not specifically limited in the present disclosure.

Still taking continuous collection of 20 instantaneous value data as an example, compare these 20 instantaneous value data with the preset target threshold, count the proportion of instantaneous value data exceeding the target threshold, and judge whether the proportion is greater than the first Three thresholds, if the proportion is greater than the preset third threshold, it is determined that an abnormality has occurred, that is, there is abnormal data in the instantaneous value data. If the proportion is less than or equal to the third threshold, it is determined to be normal, that is, the instantaneous value data is non-abnormal data.

When industrial equipment runs abnormally, a large amount of data is generally required to analyze the cause of the abnormality. At this time, the instantaneous value data cannot meet the needs of abnormal analysis, and it is necessary to control the sensor to switch to the waveform value data acquisition mode. However, it should be noted that the power consumption of the sensor is higher in the waveform value data acquisition mode, while the power consumption is lower in the instantaneous value data acquisition mode. The processor of this application analyzes the collected instantaneous value data, and only when the instantaneous value data is abnormal, the processor controls the sensor to switch to the waveform value data acquisition mode, so as to avoid the sensor being in the waveform value data acquisition mode all the time and resulting in high power consumption. High, affecting the life of the industrial equipment condition monitoring system.

Because the power consumption in the industrial equipment condition monitoring system has two aspects, one is the power consumption when the sensor collects data, and the other is the power consumption when uploading data through the wireless communication module. After the data is collected, if it is confirmed that the power stored in the electric energy storage circuit is low, the upload data may fail to lose data at this time, and the upload data will cause the power to further decrease, which may cause the industrial equipment status monitoring system to fail due to insufficient power. stop working. In order to avoid the above situation, after the waveform value data is collected and the processor confirms that the power stored in the electric energy storage circuit is lower than the first threshold, the application locally stores the waveform value data, and prohibits the wireless communication module from uploading and storing the waveform value data .

Further, the processor may also be configured to: receive a data transmission instruction from the data interface (that is, the power input interface 132 that may have a data transmission function), and transmit the stored waveform value data to the data interface.

That is to say, after confirming that the backend has not received the data uploaded by the sensor, the staff can insert the data interface through the data cable offline to obtain the locally stored waveform value data, and then analyze the data based on the locally stored waveform value data. Abnormal reasons for the existence of industrial equipment.

After the waveform value data is stored locally, the processor can also be used to: confirm that the electric quantity stored in the electric energy storage circuit is not lower than the first threshold; upload the stored waveform value data through the wireless communication module.

When the power stored in the electric energy storage circuit is no longer lower than the first threshold, which is enough to support the power consumption of the uploaded data loss, at this time, the processor can upload the locally stored waveform value data through the wireless communication module, It is avoided that the operation and maintenance personnel also need to obtain the locally stored waveform value data offline.

Further, the processor may also be used for: confirming that the status data of the industrial equipment is non-abnormal data; and controlling the sensor to collect instantaneous value data.

That is to say, after the industrial equipment resolves the abnormality and returns to the normal operation state, the industrial equipment status data collected by subsequent sensors is also non-abnormal data. The processor can confirm that the waveform value data collected by the sensor is non-abnormal data in the following two ways.

In one embodiment, 20 pieces of industrial equipment state data collected continuously in one cycle in the waveform value data are taken as an example, and the processor performs variance distribution analysis on the 20 pieces of industrial equipment state data to determine whether the industrial equipment state data begins to be discrete. If the variance is less than or equal to the second threshold, the processor determines that the data has returned to normal, that is, the state data of the industrial equipment is non-abnormal data.

In another embodiment, still taking the 20 pieces of industrial equipment state data collected continuously in one cycle in the waveform value data as an example, the processor compares the 20 pieces of industrial equipment state data with the preset target threshold, and the statistics exceed the target threshold. Threshold industrial equipment status data ratio, and judge whether the ratio is greater than the third threshold, if the ratio is less than or equal to the third threshold, the processor determines it is normal, that is, the industrial equipment status data is non- abnormal data.

After the industrial equipment resolves the abnormal state, if the sensor continues to be in the waveform value data acquisition mode, it will increase the power consumption of the industrial equipment status monitoring system and affect its life. At this time, the processor of the application controls the sensor to switch to instantaneous value data acquisition mode to further reduce the power consumption of the industrial equipment condition monitoring system.

Based on the above-mentioned industrial equipment status monitoring system, the application controls the sensor to be in the instantaneous value data acquisition mode when the instantaneous value data collected by the sensor is non-abnormal data; only when the instantaneous value data collected by the sensor is non-abnormal data, the control sensor is in the In the waveform value data acquisition mode, it not only guarantees the data acquisition requirements, but also reduces the power consumption, avoiding the high power consumption caused by ensuring the frequency and abundance of data acquisition, which affects the service life of the industrial equipment status monitoring device. In addition, when the power of the industrial equipment status monitoring device is low, the waveform value data is stored locally, and the upload of the waveform value data is prohibited, which further reduces power consumption without affecting the data collection requirements, and avoids data failure due to low power. loss.

Based on the above-mentioned system for monitoring the state of industrial equipment, the present application may also provide a method for monitoring the state of industrial equipment. Referring to Fig. 11, Fig. 11 is a schematic flowchart of a method for monitoring the state of industrial equipment provided by an exemplary embodiment of the present application, including steps S11 to S14, wherein:

S11, acquiring instantaneous value data collected by the sensor.

Wherein, the instantaneous value data is industrial equipment status data collected by the sensor once every cycle. For example, if the industrial equipment is a motor and the sensor is a temperature sensor, the instantaneous value data is the temperature data on the surface of the motor collected by the temperature sensor every 30 seconds.

After the instantaneous value data collected by the sensor is obtained, step S12 is executed.

S12. Confirm that there is abnormal data in the instantaneous value data.

If the operating status of industrial equipment is abnormal, the instantaneous value data collected by the sensor is likely to be different from the instantaneous value data collected when the industrial equipment is operating normally. For example, if the industrial equipment is a motor and the sensor is a temperature sensor, if the motor is damaged, for example, the temperature data collected by the temperature sensor will be too high.

Specifically, step S12 may include the following steps:

S121. Acquire a preset number of instantaneous value data collected continuously.

Wherein, the preset number can be manually set, for example, 20 instantaneous values collected continuously are acquired. For this, the present disclosure does not specifically limit it.

S122. According to the preset number of instantaneous value data, confirm that there is abnormal data in the instantaneous value data.

In one embodiment, step S122 may include the following steps:

S12211. Calculate the variance of the preset number of instantaneous value data.

S12212. Determine whether the variance is greater than a second threshold.

Wherein, the second threshold may be set artificially, which is not specifically limited in the present disclosure.

S12213, if yes, abnormal data exists in the instantaneous value data.

Taking continuous collection of 20 instantaneous value data as an example, analyze the variance distribution of these 20 instantaneous value data to determine whether the instantaneous value data has started to be discrete. If the variance statistics are greater than the preset second threshold, it is determined that an abnormality has occurred. That is, there is abnormal data in the instantaneous value data. If the variance is less than or equal to the second threshold, it is determined to be normal, that is, the instantaneous value data is non-abnormal data.

In another embodiment, step S122 may include the following steps:

S12221. Calculate the proportion of the instantaneous value data exceeding the target threshold among the preset number of instantaneous value data.

S12222. Determine whether the proportion is greater than a third threshold.

Wherein, the third threshold may be set artificially, which is not specifically limited in the present disclosure.

S12223, if yes, abnormal data exists in the instantaneous value data.

Still taking continuous collection of 20 instantaneous value data as an example, compare these 20 instantaneous value data with the preset target threshold, count the proportion of instantaneous value data exceeding the target threshold, and judge whether the proportion is greater than the first Three thresholds, if the proportion is greater than the preset third threshold, it is determined that an abnormality has occurred, that is, there is abnormal data in the instantaneous value data. If the proportion is less than or equal to the third threshold, it is determined to be normal, that is, the instantaneous value data is non-abnormal data.

After it is confirmed that there is abnormal data in the instantaneous value data, step S13 is executed.

S13, controlling the sensor to collect waveform value data.

Wherein, the waveform value data is industrial equipment status data collected by the sensor multiple times per cycle. For example, when the industrial equipment is a motor and the sensor is a temperature sensor, the waveform value data is the temperature data on the surface of the motor collected by the temperature sensor 20 or more times every 30 seconds.

When industrial equipment runs abnormally, a large amount of data is generally required to analyze the cause of the abnormality. At this time, the instantaneous value data cannot meet the needs of abnormal analysis, and it is necessary to control the sensor to switch to the waveform value data acquisition mode. However, it should be noted that the power consumption of the sensor is higher in the waveform value data acquisition mode, while the power consumption is lower in the instantaneous value data acquisition mode. This application analyzes the collected instantaneous value data, and controls the sensor to switch to the waveform value data acquisition mode only when the instantaneous value data is abnormal, so as to avoid the high power consumption caused by the sensor being in the waveform value data acquisition mode all the time, which affects the industry The life of the equipment condition monitoring system.

After the sensor is controlled to switch to the waveform value data acquisition mode, step S14 is executed.

S14. Confirm that the electric quantity stored in the electric energy storage circuit is lower than the first threshold.

Wherein, the first threshold may be set artificially, which is not specifically limited in the present disclosure. For example, when the electric energy storage circuit includes a supercapacitor, the electric quantity stored in the electric energy storage circuit may be the voltage value of the supercapacitor, and when the first threshold is set to 2.4V, if the voltage value of the supercapacitor is lower than 2.4V, then execute Step S15.

S15. Store the waveform value data locally.

Because the power consumption in the industrial equipment condition monitoring system has two aspects, one is the power consumption when the sensor collects data, and the other is the power consumption when uploading data through the wireless communication module. After the data is collected, if it is confirmed that the power stored in the electric energy storage circuit is low, the upload data may fail to lose data at this time, and the upload data will cause the power to further decrease, which may cause the industrial equipment status monitoring system to fail due to insufficient power. stop working. In order to avoid the above situation, after the waveform value data is collected and the power stored in the electric energy storage circuit is confirmed to be lower than the first threshold, the application stores the waveform value data locally, and prohibits uploading and storing the waveform value data.

In the case where the industrial equipment condition monitoring system further includes a data interface, the industrial equipment condition monitoring method of the present application may also include the following steps:

S151. Receive a data transmission instruction from the data interface.

S152. Transmit the stored waveform value data to the data interface.

That is to say, after confirming that the backend has not received the data uploaded by the sensor, the staff can insert the data interface through the data cable offline to obtain the locally stored waveform value data, and then analyze the data based on the locally stored waveform value data. Abnormal reasons for the existence of industrial equipment.

In the case where the industrial equipment status monitoring system further includes a wireless communication module, after storing the waveform value data locally, the industrial equipment status monitoring method of the present application may further include the following steps:

S16. Confirm that the electric quantity stored in the electric energy storage circuit is not lower than the first threshold.

S17. Upload the stored waveform value data through the wireless communication module.

When the power stored in the electric energy storage circuit is no longer lower than the first threshold, which is enough to support the power consumption of the uploaded data loss, at this time, the locally stored waveform value data can be uploaded through the wireless communication module to avoid operation. Maintenance personnel also need to obtain the locally stored waveform value data offline.

Further, the industrial equipment status monitoring method of the present application may also include the following steps:

S18. Confirm that the industrial equipment state data is non-abnormal data.

That is to say, after the industrial equipment resolves the abnormality and returns to the normal operation state, the industrial equipment status data collected by subsequent sensors is also non-abnormal data. In step S18, the method of confirming the non-abnormal data can be the method of confirming that the data is abnormal data referring to step S12, but the determined data is the waveform value data collected by the sensor.

In one embodiment, 20 pieces of industrial equipment status data collected continuously in one cycle in the waveform value data are taken as an example, and variance distribution analysis is performed on the 20 industrial equipment status data to determine whether the industrial equipment status data starts to be discrete. If the variance is less than or equal to the second threshold, it is determined that the data has returned to normal, that is, the industrial equipment state data is non-abnormal data.

In another embodiment, still taking the 20 pieces of industrial equipment state data collected continuously in one cycle in the waveform value data as an example, compare the 20 pieces of industrial equipment state data with the preset target threshold, and count the data exceeding the target threshold. The proportion of industrial equipment state data, and determine whether the proportion is greater than the third threshold, if the proportion is less than or equal to the third threshold, it is determined to be normal, that is, the industrial equipment state data is non-abnormal data.

After confirming that the industrial equipment status data is non-abnormal data, step S19 is executed.

S19, controlling the sensor to collect instantaneous value data.

After the industrial equipment resolves the abnormal state, if the sensor continues to be in the waveform value data acquisition mode, it will increase the power consumption of the industrial equipment status monitoring system and affect its life. At this time, the application controls the sensor to switch to the instantaneous value data acquisition mode. Further reduce the power consumption of the industrial equipment condition monitoring system.

Based on the above-mentioned industrial equipment state monitoring method, the application controls the sensor to be in the instantaneous value data acquisition mode when the instantaneous value data collected by the sensor is non-abnormal data; only when the instantaneous value data collected by the sensor is non-abnormal data, the control sensor is in In the waveform value data acquisition mode, it not only guarantees the data acquisition requirements, but also reduces the power consumption, avoiding the high power consumption caused by ensuring the frequency and abundance of data acquisition, which affects the service life of the industrial equipment status monitoring device. In addition, when the power of the industrial equipment status monitoring device is low, the waveform value data is stored locally, and the upload of the waveform value data is prohibited, which further reduces power consumption without affecting the data collection requirements, and avoids data failure due to low power. loss.

The embodiment of the present application also provides a storage medium, where a computer program is stored in the storage medium, wherein the computer program is configured to execute the steps in any one of the above method embodiments when running.

Specifically, in this embodiment, the above-mentioned storage medium may be configured to store a computer program for performing the following steps:

S11. Acquire instantaneous value data collected by the sensor; wherein the instantaneous value data is industrial equipment status data collected by the sensor once per cycle.

S12. Confirm that there is abnormal data in the instantaneous value data.

S13. Control the sensor to collect waveform value data; wherein the waveform value data is industrial equipment status data collected by the sensor multiple times per cycle.

S14. Confirm that the electric quantity stored in the electric energy storage circuit is lower than the first threshold.

S15. Store the waveform value data locally.

Specifically, in this embodiment, the above-mentioned storage medium may include but not limited to: U disk, read-only memory (Read-Only Memory, referred to as ROM for short), random access memory (Random Access Memory, referred to as RAM for short), mobile hard disk, Various media that can store computer programs, such as magnetic disks or optical disks.

It should be understood that the processor in the embodiment of the present application may be a central processing unit (central processing unit, CPU), and the processor may also be other general processors, digital signal processors (digital signal processor, DSP), application specific integrated circuits (application specific integrated circuits, ASIC), off-the-shelf programmable gate array (field programmable gate array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, or the like.

It should also be understood that the memory in the embodiments of the present application may be a volatile memory or a nonvolatile memory, or may include both volatile and nonvolatile memories. Among them, the non-volatile memory can be read-only memory (read-only memory, ROM), programmable read-only memory (programmable ROM, PROM), erasable programmable read-only memory (erasable PROM, EPROM), electrically erasable Programs read-only memory (electricallyEPROM, EEPROM) or flash memory. Volatile memory can be random access memory (RAM), which acts as external cache memory. By way of illustration and not limitation, many forms of random access memory (RAM) are available, such as static random access memory (static RAM, SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory Memory (synchronousDRAM, SDRAM), double data rate synchronous dynamic random access memory (doubledatarateSDRAM, DDRSDRAM), enhanced synchronous dynamic random access memory (enhancedSDRAM, ESDRAM), synchronous connection dynamic random access memory (synchlinkDRAM, SLDRAM) and Direct memory bus random access memory (directrambusRAM, DRRAM).

The above-mentioned embodiments may be implemented in whole or in part by software, hardware (such as circuits), firmware, or other arbitrary combinations. When implemented using software, the above-described embodiments may be implemented in whole or in part in the form of computer program products. The computer program product comprises one or more computer instructions or computer programs. When the computer instruction or computer program is loaded or executed on the computer, the processes or functions according to the embodiments of the present application will be generated in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable devices. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from a website, computer, server or data center Transmission to another website site, computer, server or data center by wired (such as infrared, wireless, microwave, etc.). The computer-readable storage medium may be any available medium that can be accessed by a computer, or a data storage device such as a server or a data center that includes one or more sets of available media. The available media may be magnetic media (eg, floppy disk, hard disk, magnetic tape), optical media (eg, DVD), or semiconductor media. The semiconductor medium may be a solid state drive.

It should be understood that the term "and/or" in this article is only an association relationship describing associated objects, indicating that there may be three relationships, for example, A and/or B may mean: A exists alone, and A and B exist at the same time , there are three cases of B alone, where A and B can be singular or plural. In addition, the character "/" in this article generally indicates that the related objects are an "or" relationship, but it may also indicate an "and/or" relationship, which can be understood by referring to the context.

In this application, "at least one" means one or more, and "multiple" means two or more. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one item (piece) of a, b, or c can represent: a, b, c, a-b, a-c, b-c, or a-b-c, where a, b, c can be single or multiple .

It should be understood that, in various embodiments of the present application, the sequence numbers of the above-mentioned processes do not mean the order of execution, and the execution order of the processes should be determined by their functions and internal logic, and should not be used in the embodiments of the present application. The implementation process constitutes any limitation.

Those skilled in the art can appreciate that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed by hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may use different methods to implement the described functions for each specific application, but such implementation should not be regarded as exceeding the scope of the present application.

Those skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the above-described system, device and unit can refer to the corresponding process in the foregoing method embodiment, which will not be repeated here.

In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods may be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or May be integrated into another system, or some features may be ignored, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, and may be located in one place or distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit.

If the functions described above are realized in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including Several instructions are used to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (read-only memory, ROM), random access memory (random access memory, RAM), magnetic disk or optical disk, and other various media that can store program codes.

The above is only a specific implementation of the application, but the scope of protection of the application is not limited thereto. Anyone familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the application. Should be covered within the protection scope of this application. Therefore, the protection scope of the present application should be determined by the protection scope of the claims.

Claims (10)

1. A kind of industrial equipment state monitoring method, it is characterized in that, be applied to industrial equipment state monitoring system, described industrial equipment state monitoring system comprises sensor and electric energy storage circuit; Described method comprises: Acquiring the instantaneous value data collected by the sensor; wherein, the instantaneous value data is industrial equipment state data collected by the sensor once per cycle; Confirm that there is abnormal data in the instantaneous value data; Controlling the sensor to collect waveform value data; wherein, the waveform value data is industrial equipment status data collected multiple times per cycle by the sensor; Confirming that the electric quantity stored in the electric energy storage circuit is lower than the first threshold; The waveform value data is stored locally. 2. The industrial equipment state monitoring method according to claim 1, wherein the industrial equipment state monitoring system also includes a wireless communication module; after locally storing the waveform value data, the method also includes: Confirming that the electric quantity stored in the electric energy storage circuit is not lower than the first threshold; uploading the stored waveform value data through the wireless communication module. 3. The industrial equipment condition monitoring method according to claim 1, wherein the method further comprises: Confirm that the status data of the industrial equipment is non-abnormal data; The sensor is controlled to collect instantaneous value data. 4. The method for monitoring the state of industrial equipment according to any one of claims 1 to 3, wherein the confirming that there is abnormal data in the instantaneous value data includes: Obtain the instantaneous value data of the preset number continuously collected; According to the preset number of instantaneous value data, it is confirmed that there is abnormal data in the instantaneous value data. 5. The method for monitoring the status of industrial equipment according to claim 4, wherein, according to the preset number of instantaneous value data, confirming that there is abnormal data in the instantaneous value data includes: calculating the variance of the preset number of instantaneous value data; judging whether the variance is greater than a second threshold; If yes, abnormal data exists in the instantaneous value data. 6. The method for monitoring the state of industrial equipment according to claim 4, characterized in that, according to the preset number of instantaneous value data, confirming that there is abnormal data in the instantaneous value data includes: Calculating the proportion of the instantaneous value data exceeding the target threshold among the preset number of instantaneous value data; judging whether the proportion is greater than a third threshold; If yes, abnormal data exists in the instantaneous value data. 7. The industrial equipment condition monitoring method according to claim 1, wherein the industrial equipment condition monitoring system also includes a data interface; the method further comprises: receiving a data transmission instruction from the data interface; Transmitting the stored waveform value data to the data interface. 8. An industrial equipment status monitoring system, characterized in that the industrial equipment status monitoring system includes an industrial equipment status monitoring device and an environmental energy collection node connected to the industrial equipment status monitoring device; wherein the industrial equipment status The monitoring device includes a processor, a sensor and an electric energy storage circuit; The processor is used to: obtain the instantaneous value data collected by the sensor; confirm that there is abnormal data in the instantaneous value data; control the sensor to collect waveform value data; confirm that the electric energy stored in the electric energy storage circuit is lower than the first threshold; The waveform value data; wherein, the instantaneous value data is the industrial equipment status data collected by the sensor once per cycle, and the waveform value data is the industrial equipment status data collected by the sensor multiple times per cycle. 9. The industrial equipment condition monitoring system according to claim 8, wherein the industrial equipment condition monitoring device further comprises a wireless communication module; The processor is further configured to: confirm that the electric quantity stored in the electric energy storage circuit is not lower than the first threshold; and upload the stored waveform value data through the wireless communication module. 10. A storage medium, wherein a computer program is stored in the storage medium, and the computer program is configured to execute the method according to any one of claims 1 to 7 when running.

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