CN114200877A - Monitoring method and device for electric equipment - Google Patents
Monitoring method and device for electric equipment Download PDFInfo
- Publication number
- CN114200877A CN114200877A CN202111342475.5A CN202111342475A CN114200877A CN 114200877 A CN114200877 A CN 114200877A CN 202111342475 A CN202111342475 A CN 202111342475A CN 114200877 A CN114200877 A CN 114200877A
- Authority
- CN
- China
- Prior art keywords
- energy consumption
- target
- electric equipment
- monitoring data
- equipment
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 297
- 238000000034 method Methods 0.000 title claims abstract description 47
- 238000005265 energy consumption Methods 0.000 claims abstract description 343
- 230000002159 abnormal effect Effects 0.000 claims abstract description 164
- 230000000977 initiatory effect Effects 0.000 claims abstract description 13
- 230000006399 behavior Effects 0.000 claims description 29
- 238000004590 computer program Methods 0.000 claims description 18
- 238000003860 storage Methods 0.000 claims description 8
- 238000012545 processing Methods 0.000 claims description 5
- 238000012806 monitoring device Methods 0.000 claims description 3
- 230000005856 abnormality Effects 0.000 abstract description 11
- 238000010586 diagram Methods 0.000 description 10
- 230000006870 function Effects 0.000 description 6
- 230000008569 process Effects 0.000 description 4
- 230000001960 triggered effect Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 238000013024 troubleshooting Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000009776 industrial production Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/048—Monitoring; Safety
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The embodiment of the invention provides a method and a device for monitoring electric equipment, wherein the method comprises the following steps: acquiring current energy consumption monitoring data and historical energy consumption monitoring data which are sent by a target energy consumption monitoring sensor and aim at target electric equipment; judging whether the target electric equipment triggers an energy consumption abnormal event or not according to the current energy consumption monitoring data and the historical energy consumption monitoring data; when the target electric equipment triggers an energy consumption abnormal event, target image data aiming at the target electric equipment is obtained from the intelligent equipment, and whether the target electric equipment triggers the abnormal use event or not is judged according to the target image data; and when the target electric equipment is judged not to trigger the abnormal use event, initiating an energy consumption abnormity reminding message aiming at the target electric equipment. According to the embodiment of the invention, when the power consumption abnormality of the power consumption equipment is detected, the image data of the power consumption equipment is acquired, so that the power consumption abnormality of the power consumption equipment is accurately monitored, and the fault of the power consumption equipment is accurately monitored.
Description
Technical Field
The invention relates to the technical field of abnormity monitoring, in particular to a monitoring method and a monitoring device for electric equipment.
Background
At present, electric energy is widely used in production and life, and especially for industrial parks, the electric energy is an indispensable part. With the continuous development of society, people rely on electricity more and more, and the production cost of enterprises is continuously improved for the rapid consumption of electric energy.
After long-term use or incorrect use mode, the electric equipment may be abnormal, and the abnormal expression form may be energy consumption increase and energy consumption reduction; when the energy consumption of the electric equipment is abnormal, the electric equipment can be indicated to have a fault; however, the power consumption anomaly may also be due to a user operating the powered device, causing the powered device to increase or decrease in power consumption.
In order to accurately monitor the fault of the electric equipment, the energy consumption of the electric equipment needs to be accurately monitored; how to accurately detect the energy consumption of the electric equipment is a problem which needs to be solved at present.
Disclosure of Invention
In view of the above, it is proposed to provide a method and an apparatus for monitoring a powered device that overcome or at least partially solve the above problems, comprising:
a monitoring method of electric equipment is applied to an electric equipment monitoring system, the electric equipment monitoring system is connected with an energy consumption monitoring sensor deployed for the electric equipment, and the electric equipment monitoring system is connected with intelligent equipment in an intelligent building, and the method comprises the following steps:
acquiring current energy consumption monitoring data aiming at target electric equipment and historical energy consumption monitoring data of the target electric equipment, which are sent by a target energy consumption monitoring sensor;
judging whether the target electric equipment triggers an energy consumption abnormal event or not according to the current energy consumption monitoring data and the historical energy consumption monitoring data;
when the target electric equipment triggers an energy consumption abnormal event, target image data aiming at the target electric equipment is obtained from the intelligent equipment, and whether the target electric equipment triggers the abnormal use event or not is judged according to the target image data;
and when the target electric equipment is judged not to trigger the abnormal use event, initiating an energy consumption abnormity reminding message aiming at the target electric equipment.
Optionally, judging whether the target electrical device triggers an energy consumption abnormal event according to the current energy consumption monitoring data and the historical energy consumption monitoring data, including:
determining a target deviation value of the current energy consumption monitoring data and the historical energy consumption monitoring data;
and when the target deviation value exceeds a preset deviation threshold value, judging that the target electric equipment triggers an energy consumption abnormal event.
Optionally, judging whether the target electrical device triggers an energy consumption abnormal event according to the current energy consumption monitoring data and the historical energy consumption monitoring data, including:
determining a first energy consumption fluctuation amplitude corresponding to the current energy consumption monitoring data;
determining a second energy consumption fluctuation amplitude corresponding to the historical energy consumption monitoring data;
and when the first energy consumption fluctuation amplitude is larger than the second energy consumption fluctuation amplitude, judging that the target electric equipment triggers an energy consumption abnormal event.
Optionally, the determining whether the target electric device triggers the abnormal use event according to the target image data includes:
identifying the target image data, and judging whether a target user using the target electric equipment has abnormal use behaviors or not based on the identification result;
and when the target user does not have abnormal use behaviors, judging that the target electric equipment does not trigger the abnormal use event.
Optionally, the method further comprises:
determining system time for acquiring current energy consumption monitoring data and a target device identifier of a target electric device;
and storing the image data and the current energy consumption monitoring data according to the system time and the target equipment identification.
Optionally, the method further comprises:
determining a target device identification of the target electric equipment and target position information of the target electric equipment;
and displaying the current energy consumption monitoring data according to the target equipment identification and the target position information.
Optionally, the method further comprises:
sending a monitoring data request to a target energy consumption monitoring sensor of target electric equipment according to a preset time interval; and after receiving the monitoring data request, the target energy consumption monitoring sensor returns the current energy consumption monitoring data to the electric equipment monitoring system.
The embodiment of the invention also provides a monitoring device of electric equipment, which is applied to an electric equipment monitoring system, wherein the electric equipment monitoring system is connected with an energy consumption monitoring sensor deployed for the electric equipment, and is connected with intelligent equipment in an intelligent building, and the device comprises:
the acquisition module is used for acquiring current energy consumption monitoring data aiming at the target electric equipment and transmitted by the target energy consumption monitoring sensor and historical energy consumption monitoring data of the target electric equipment;
the first judgment module is used for judging whether the target electric equipment triggers the energy consumption abnormal event or not according to the current energy consumption monitoring data and the historical energy consumption monitoring data;
the second judgment module is used for acquiring target image data aiming at the target electric equipment from the intelligent equipment when the target electric equipment triggers the energy consumption abnormal event, and judging whether the target electric equipment triggers the abnormal use event or not according to the target image data;
and the reminding module is used for initiating an energy consumption abnormity reminding message aiming at the target electric equipment when the target electric equipment is judged not to trigger the abnormal use event.
The embodiment of the invention also provides a server, which comprises a processor, a memory and a computer program which is stored on the memory and can run on the processor, wherein when the computer program is executed by the processor, the monitoring method of the electric equipment is realized.
The embodiment of the invention also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the monitoring method of the electric equipment is realized.
The embodiment of the invention has the following advantages:
in the embodiment of the invention, the electric equipment monitoring system can acquire current energy consumption monitoring data aiming at target electric equipment and historical energy consumption monitoring data of the target electric equipment, which are sent by a target energy consumption monitoring sensor; judging whether the target electric equipment triggers an energy consumption abnormal event or not according to the current energy consumption monitoring data and the historical energy consumption monitoring data; when the target electric equipment triggers an energy consumption abnormal event, target image data aiming at the target electric equipment is obtained from the intelligent equipment, and whether the target electric equipment triggers the abnormal use event or not is judged according to the target image data; and when the target electric equipment is judged not to trigger the abnormal use event, initiating an energy consumption abnormity reminding message aiming at the target electric equipment. According to the embodiment of the invention, when the power consumption abnormality of the power consumption equipment is detected, the image data of the power consumption equipment is acquired, and whether the abnormal use operation exists for the user using the power consumption equipment is judged by combining the image data, so that the cause of the abnormal power consumption of the power consumption equipment is analyzed, the abnormal power consumption of the power consumption equipment is accurately monitored, and the fault of the power consumption equipment is accurately monitored.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the description of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a flowchart illustrating steps of a method for monitoring a powered device according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating steps of another method for monitoring a powered device according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating steps of a method for monitoring a powered device according to another embodiment of the present invention;
fig. 4 is a block diagram of a monitoring apparatus for an electric device according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a flowchart of steps of a monitoring method for an electrical device according to an embodiment of the present invention is shown, and is applied to an electrical device monitoring system, where the electrical device monitoring system is connected to an energy consumption monitoring sensor deployed for an electrical device, and the electrical device monitoring system is connected to an intelligent device in an intelligent building;
specifically, the method may include the steps of:
the electric equipment may refer to various equipment deployed in an intelligent building and needing to work by using electric energy, for example: computers, air conditioners, or equipment for industrial production, etc.;
the intelligent building can refer to a building with various intelligent devices; smart devices may refer to devices controlled by a powered device monitoring system, which may refer to various devices deployed in a smart building, such as: smart vending machines, etc.; the intelligent equipment has an image acquisition function, and the electric equipment monitoring system can call the image acquisition function of the intelligent equipment so as to acquire image data aiming at different areas.
In practical application, in order to detect the energy consumption of the electric equipment, an energy consumption monitoring sensor can be deployed for each electric equipment in advance, and the energy consumption monitoring sensor can monitor and count the energy consumption used by the electric equipment to generate energy consumption monitoring data.
Specifically, after acquiring current energy consumption monitoring data of the target electrical equipment, the target energy consumption monitoring sensor may first send the current energy consumption monitoring data to the electrical equipment monitoring system.
After receiving the current energy consumption monitoring data, the electrical equipment monitoring system can acquire historical energy consumption monitoring data of the target electrical equipment from a preset energy consumption monitoring database, wherein the historical energy consumption monitoring data can be energy consumption monitoring data which is acquired by a target energy consumption monitoring sensor aiming at the target electrical equipment.
the abnormal energy consumption event may refer to an event that the current energy consumption is greatly different from the historical energy consumption, for example: the current energy consumption monitoring data is 100kw · h, while the historical energy consumption monitoring data is 50-80kw · h, it can be determined that the current energy consumption of the target electric device triggers the energy consumption abnormal event.
Then, the power consumption equipment monitoring system may preliminarily determine whether the energy consumption currently consumed by the target power consumption equipment triggers an energy consumption abnormal event according to the current energy consumption monitoring data and the historical energy consumption monitoring data.
103, when the target electric equipment triggers an energy consumption abnormal event, acquiring target image data aiming at the target electric equipment from the intelligent equipment, and judging whether the target electric equipment triggers the abnormal use event or not according to the target image data;
when the power consumption equipment monitoring system preliminarily judges that the target power consumption equipment triggers the abnormal energy consumption event, the current energy consumption of the target power consumption equipment can be represented to be abnormal; however, the power consumption abnormality at this time may be caused by the user performing an erroneous operation or performing a high power consumption/low power consumption operation.
In order to eliminate the possibility, the embodiment of the present invention may further acquire target image data for the target electrical device from the smart device, and determine whether the target electrical device is an energy consumption abnormal event triggered by the current operation of the user in combination with the target image data.
Specifically, the position of the target electrical device may be determined first, and then the intelligent device deployed at the position of the target electrical device is determined; and acquiring target image data aiming at the target electric equipment from the intelligent equipment.
After the power consumption equipment monitoring system acquires the target image data, the target image data can be identified, for example: human feature recognition may be possible; then, the electric device monitoring system determines whether there is an abnormal use operation by the user who is using the target electric device based on the recognition result.
Then, the electric equipment monitoring system can judge whether the target electric equipment triggers an abnormal use event according to whether the target user has abnormal use operation; an abnormal use event may refer to an event in which the powered device is abnormally used by the user.
And 104, when the target electric equipment is judged not to trigger the abnormal use event, initiating an energy consumption abnormity reminding message aiming at the target electric equipment.
If it is determined that the target electrical device does not trigger the abnormal use event, it may indicate that the user using the target electrical device does not perform the abnormal use operation at this time.
At this time, the electric equipment monitoring system can judge that the target electric equipment really has an abnormal energy consumption event again, and the abnormal energy consumption event generated by the target electric equipment is not caused by the fact that the user using the target electric equipment performs abnormal use operation; this may indicate that the target powered device may have experienced an abnormal power consumption due to a fault.
At this time, the power consumption equipment monitoring system can generate an energy consumption abnormity prompting message for the target power consumption equipment, and the energy consumption abnormity prompting message is sent to the corresponding terminal equipment for displaying so as to prompt a manager to carry out fault troubleshooting on the target power consumption equipment.
As an example, if it is determined that the target electrical device triggers an abnormal usage event, it may indicate that an abnormal usage operation is performed by a user using the target electrical device at the time, and the energy consumption abnormal event triggered by the target electrical device is caused by the user using the target electrical device performing the abnormal usage operation, not by the failure of the target electrical device.
In the embodiment of the invention, the electric equipment monitoring system can acquire current energy consumption monitoring data aiming at target electric equipment and historical energy consumption monitoring data of the target electric equipment, which are sent by a target energy consumption monitoring sensor; judging whether the target electric equipment triggers an energy consumption abnormal event or not according to the current energy consumption monitoring data and the historical energy consumption monitoring data; when the target electric equipment triggers an energy consumption abnormal event, target image data aiming at the target electric equipment is obtained from the intelligent equipment, and whether the target electric equipment triggers the abnormal use event or not is judged according to the target image data; and when the target electric equipment is judged not to trigger the abnormal use event, initiating an energy consumption abnormity reminding message aiming at the target electric equipment. According to the embodiment of the invention, when the power consumption abnormality of the power consumption equipment is detected, the image data of the power consumption equipment is acquired, and whether the abnormal use operation exists for the user using the power consumption equipment is judged by combining the image data, so that the cause of the abnormal power consumption of the power consumption equipment is analyzed, the abnormal power consumption of the power consumption equipment is accurately monitored, and the fault of the power consumption equipment is accurately monitored.
Referring to fig. 2, a flowchart illustrating steps of another monitoring method for an electric device according to an embodiment of the present invention is shown, including the following steps:
in practical application, in order to detect the energy consumption of the electric equipment, an energy consumption monitoring sensor can be deployed for each electric equipment in advance, and the energy consumption monitoring sensor can monitor and count the energy consumption used by the electric equipment to generate energy consumption monitoring data.
Specifically, after acquiring current energy consumption monitoring data of the target electrical equipment, the target energy consumption monitoring sensor may first send the current energy consumption monitoring data to the electrical equipment monitoring system.
After receiving the current energy consumption monitoring data, the electrical equipment monitoring system can acquire historical energy consumption monitoring data of the target electrical equipment from a preset energy consumption monitoring database, wherein the historical energy consumption monitoring data can be energy consumption monitoring data which is acquired by a target energy consumption monitoring sensor aiming at the target electrical equipment.
The electric equipment monitoring system can acquire current energy consumption monitoring data through the following steps:
sending a monitoring data request to a target energy consumption monitoring sensor of target electric equipment according to a preset time interval; and after receiving the monitoring data request, the target energy consumption monitoring sensor returns the current energy consumption monitoring data to the electric equipment monitoring system.
The electric equipment monitoring system can send monitoring data requests to the target energy consumption monitoring sensor according to a preset time interval.
After receiving the monitoring data request, the target energy consumption monitoring sensor can acquire current energy consumption monitoring data aiming at the target electric equipment; the target energy consumption monitoring sensor may then transmit the collected current energy consumption monitoring data back to the powered device monitoring system.
As an example, the monitoring data request may include an acquisition duration, and after receiving the detection data request, the target energy consumption monitoring sensor may acquire current energy consumption monitoring data of the target electrical equipment within the corresponding duration according to the acquisition duration, which is not limited in this embodiment of the present invention.
In an embodiment of the present invention, the electrical equipment monitoring system may store the current energy consumption monitoring data through the following steps, so that the energy consumption condition of the target electrical equipment may be subsequently restored based on the current energy consumption monitoring data.
Determining system time for acquiring current energy consumption monitoring data and a target device identifier of a target electric device; and storing the image data and the current energy consumption monitoring data according to the system time and the target equipment identification.
When the current energy consumption monitoring data is stored, the system time of the electric equipment monitoring system when the current energy consumption monitoring data is acquired can be determined.
Meanwhile, the power consumption equipment monitoring system can acquire a target equipment identifier of the target power consumption equipment; the target device identifier may be preset for the target electrical device, and each electrical device may set a corresponding device identifier.
Then, the electric equipment monitoring system can store the current energy consumption monitoring data according to the system time and the target equipment identification, so that the corresponding energy consumption monitoring data can be directly obtained according to the system time and/or the equipment identification when the subsequent energy consumption of the electric equipment is copied.
In addition, when the power consumption device monitoring system stores the current energy consumption monitoring data, the corresponding image data may also be stored, which is not limited in the embodiment of the present invention.
In another embodiment of the present invention, in order to enable a manager to visually monitor the energy consumption of each electrical device in real time, after obtaining the current energy consumption monitoring data, the method may further include the following steps:
determining a target device identification of the target electric equipment and target position information of the target electric equipment; and displaying the current energy consumption monitoring data according to the target equipment identification and the target position information.
First, the electrical device monitoring system may determine a target device identifier of the target electrical device, where the identifier may include a device type, a device number, a device purchase time, and the like of the target electrical device, and this is not limited in this embodiment of the present invention.
Meanwhile, the electric equipment monitoring system can also acquire target position information of the target electric equipment, and the target position information can be used for representing the deployed position of the target electric equipment.
Then, the power consumption device monitoring system may display the current energy consumption monitoring data on a docked screen according to the target device identifier and the target location information, for example: an electronic map may be displayed on the screen, and then the target device identifier and the current energy consumption monitoring data may be displayed at a location corresponding to the target location information.
when the power consumption equipment monitoring system judges whether the target power consumption equipment triggers the energy consumption abnormal event, a target deviation value between the current energy consumption monitoring data and the historical energy consumption monitoring data can be determined firstly; for example: and if the current energy consumption monitoring data is 100kw · h and the historical energy consumption monitoring data is 80kw · h, the target deviation value between the current energy consumption monitoring data and the historical energy consumption monitoring data can be determined to be 20kw · h.
then, the electric equipment monitoring system can judge whether the target electric equipment triggers the energy consumption abnormal event or not by judging the relation between the target deviation value and a preset deviation threshold value.
When the target deviation value exceeds a preset deviation threshold value, the current energy consumption of the target electric equipment can be represented to be abnormal; at this time, the electric device monitoring system may determine that the target electric device triggers the energy consumption abnormal event.
When the target deviation value does not exceed the preset deviation threshold value, it can be indicated that the current energy consumption of the target electric equipment is not abnormal; at this time, the electric device monitoring system may determine that the target electric device does not trigger the energy consumption abnormal event.
after the electric equipment monitoring system judges that the target electric equipment triggers the abnormal energy consumption event, the electric equipment monitoring system can acquire target image data aiming at the target electric equipment from the intelligent equipment so as to judge whether the target electric equipment triggers the abnormal energy consumption event or not by combining the image data because the user executes wrong operation.
after the power consumption equipment monitoring system acquires the target image data, the target image data can be identified, for example: human feature recognition may be possible; then, the electric device monitoring system determines whether there is an abnormal use operation by the user who is using the target electric device based on the recognition result.
Specifically, the electrical equipment monitoring system may determine whether a target user currently using the target electrical equipment has an abnormal usage behavior based on the recognition result of the target image data, where the abnormal usage behavior may refer to an operation that may cause the target electrical equipment to trigger an energy consumption abnormal event.
For example: the recognition result can comprise the characteristics of the current use behavior of the target user, and then the characteristics of the current use behavior are matched with the preset characteristics of the abnormal use behavior; if the matching is successful, the target user can be indicated to have abnormal use behaviors, and if the matching is not successful, the target user can be indicated to not have the abnormal use behaviors.
if the target user is judged not to have the abnormal use behavior, the abnormal use event is not triggered by the target electric equipment due to the abnormal use behavior of the target user.
And step 207, when the target electric equipment is judged not to trigger the abnormal use event, initiating an energy consumption abnormity reminding message aiming at the target electric equipment.
If it is determined that the target electrical device does not trigger the abnormal use event, it may indicate that the user using the target electrical device does not perform the abnormal use operation at this time.
At this time, the electric equipment monitoring system can judge that the target electric equipment really has an abnormal energy consumption event again, and the abnormal energy consumption event generated by the target electric equipment is not caused by the fact that the user using the target electric equipment performs abnormal use operation; this may indicate that the target powered device may have experienced an abnormal power consumption due to a fault.
At this time, the power consumption equipment monitoring system can generate an energy consumption abnormity prompting message for the target power consumption equipment, and the energy consumption abnormity prompting message is sent to the corresponding terminal equipment for displaying so as to prompt a manager to carry out fault troubleshooting on the target power consumption equipment.
In the embodiment of the invention, the electric equipment monitoring system can acquire the current energy consumption monitoring data aiming at the target electric equipment and sent by the target energy consumption monitoring sensor, and the historical energy consumption monitoring data of the target electric equipment; determining a target deviation value of the current energy consumption monitoring data and the historical energy consumption monitoring data; when the target deviation value exceeds a preset deviation threshold value, judging that the target power utilization equipment triggers an energy consumption abnormal event; when the target electric equipment triggers an energy consumption abnormal event, target image data aiming at the target electric equipment is obtained from the intelligent equipment; identifying the target image data, and judging whether a target user using the target electric equipment has abnormal use behaviors or not based on the identification result; when the target user does not have abnormal use behaviors, judging that the target electric equipment does not trigger an abnormal use event; and when the target electric equipment is judged not to trigger the abnormal use event, initiating an energy consumption abnormity reminding message aiming at the target electric equipment. According to the embodiment of the invention, whether the energy consumption of the electric equipment is abnormal is determined based on the deviation between the current energy consumption and the historical energy consumption, and then the operation of judging whether the user using the electric equipment has abnormal use is carried out by combining the image data, so that the cause of the energy consumption abnormality of the electric equipment is analyzed, the energy consumption abnormality of the electric equipment is accurately monitored, and the fault of the electric equipment is accurately monitored.
Referring to fig. 3, a flowchart illustrating steps of a monitoring method for a powered device according to another embodiment of the present invention includes the following steps:
301, acquiring current energy consumption monitoring data aiming at target electric equipment and historical energy consumption monitoring data of the target electric equipment, which are sent by a target energy consumption monitoring sensor;
after acquiring current energy consumption monitoring data of the target electric equipment, the target energy consumption monitoring sensor may first send the current energy consumption monitoring data to the electric equipment monitoring system.
After receiving the current energy consumption monitoring data, the electrical equipment monitoring system can acquire historical energy consumption monitoring data of the target electrical equipment from a preset energy consumption monitoring database, wherein the historical energy consumption monitoring data can be energy consumption monitoring data which is acquired by a target energy consumption monitoring sensor aiming at the target electrical equipment.
when judging whether the target electric equipment triggers the energy consumption abnormal event, the electric equipment monitoring system can firstly determine a first energy consumption fluctuation range corresponding to the current energy consumption monitoring data; the first energy consumption fluctuation amplitude may refer to a fluctuation condition of the current energy consumption monitoring data, for example: the current energy consumption monitoring data may include a plurality of energy consumption monitoring data during the time period of 07:00-08:00, and then, a fluctuation condition of the plurality of energy consumption monitoring data during the time period may be determined, and a first energy consumption fluctuation amplitude may be determined based on the fluctuation condition (e.g., may be determined by calculating a variance).
meanwhile, the electric equipment monitoring system may determine a second energy consumption fluctuation range corresponding to the historical energy consumption monitoring data, where the second energy consumption fluctuation range may refer to a fluctuation condition of the historical energy consumption monitoring data, and is similar to the determination manner of the first energy consumption fluctuation range, and is not described herein again.
then, the electric equipment monitoring system can judge whether the target electric equipment triggers the energy consumption abnormal event or not by comparing the first energy consumption fluctuation amplitude with the second energy consumption fluctuation amplitude.
Specifically, the first energy consumption fluctuation range and the second energy consumption fluctuation range may be compared to determine whether the target electrical device triggers an energy consumption abnormal event.
When the first energy consumption fluctuation amplitude is larger than the second energy consumption fluctuation amplitude, it can be indicated that the current energy consumption of the target electrical equipment has larger fluctuation, and at this time, the electrical equipment monitoring system can judge that the target electrical equipment may trigger an energy consumption abnormal event.
When the first energy consumption fluctuation amplitude is not greater than the second energy consumption fluctuation amplitude, it can be indicated that the fluctuation of the current energy consumption of the target electrical equipment is normal, and at this time, the electrical equipment monitoring system can determine that the target electrical equipment does not trigger an energy consumption abnormal event.
305, when the target electric equipment triggers an energy consumption abnormal event, acquiring target image data aiming at the target electric equipment from the intelligent equipment;
after the electric equipment monitoring system judges that the target electric equipment triggers the abnormal energy consumption event, the electric equipment monitoring system can acquire target image data aiming at the target electric equipment from the intelligent equipment so as to judge whether the target electric equipment triggers the abnormal energy consumption event or not by combining the image data because the user executes wrong operation.
after the power consumption equipment monitoring system acquires the target image data, the target image data can be identified, for example: human feature recognition may be possible; then, the electric device monitoring system determines whether there is an abnormal use operation by the user who is using the target electric device based on the recognition result.
Specifically, the electrical equipment monitoring system may determine whether a target user currently using the target electrical equipment has an abnormal usage behavior based on the recognition result of the target image data, where the abnormal usage behavior may refer to an operation that may cause the target electrical equipment to trigger an energy consumption abnormal event.
if the target user is judged not to have the abnormal use behavior, the abnormal use event is not triggered by the target electric equipment due to the abnormal use behavior of the target user.
And 308, when the target electric equipment is judged not to trigger the abnormal use event, initiating an energy consumption abnormity reminding message aiming at the target electric equipment.
If it is determined that the target electrical device does not trigger the abnormal use event, it may indicate that the user using the target electrical device does not perform the abnormal use operation at this time.
At this time, the electric equipment monitoring system can judge that the target electric equipment really has an abnormal energy consumption event again, and the abnormal energy consumption event generated by the target electric equipment is not caused by the fact that the user using the target electric equipment performs abnormal use operation; this may indicate that the target powered device may have experienced an abnormal power consumption due to a fault.
At this time, the power consumption equipment monitoring system can generate an energy consumption abnormity prompting message for the target power consumption equipment, and the energy consumption abnormity prompting message is sent to the corresponding terminal equipment for displaying so as to prompt a manager to carry out fault troubleshooting on the target power consumption equipment.
In the embodiment of the invention, the electric equipment monitoring system can acquire the current energy consumption monitoring data aiming at the target electric equipment and sent by the target energy consumption monitoring sensor, and the historical energy consumption monitoring data of the target electric equipment; determining a first energy consumption fluctuation amplitude corresponding to the current energy consumption monitoring data; determining a second energy consumption fluctuation amplitude corresponding to the historical energy consumption monitoring data; when the first energy consumption fluctuation amplitude is larger than the second energy consumption fluctuation amplitude, judging that the target electric equipment triggers an energy consumption abnormal event; when the target electric equipment triggers an energy consumption abnormal event, target image data aiming at the target electric equipment is obtained from the intelligent equipment; identifying the target image data, and judging whether a target user using the target electric equipment has abnormal use behaviors or not based on the identification result; when the target user does not have abnormal use behaviors, judging that the target electric equipment does not trigger an abnormal use event; and when the target electric equipment is judged not to trigger the abnormal use event, initiating an energy consumption abnormity reminding message aiming at the target electric equipment. According to the embodiment of the invention, whether the energy consumption of the electric equipment is abnormal or not is determined based on the fluctuation conditions of the current energy consumption and the historical energy consumption, and then the operation of judging whether the user using the electric equipment is abnormally used or not is carried out by combining the image data, so that the cause of the energy consumption abnormality of the electric equipment is analyzed, the energy consumption abnormality of the electric equipment is accurately monitored, and the fault of the electric equipment is accurately monitored.
It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the illustrated order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments of the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.
Referring to fig. 4, a schematic structural diagram of a monitoring apparatus for an electrical device according to an embodiment of the present invention is shown, and is applied to an electrical device monitoring system, where the electrical device monitoring system is connected to an energy consumption monitoring sensor deployed for an electrical device, and the electrical device monitoring system is connected to an intelligent device in an intelligent building;
specifically, the following modules may be included:
the acquiring module 401 is configured to acquire current energy consumption monitoring data, which is sent by a target energy consumption monitoring sensor and is for a target electrical device, and historical energy consumption monitoring data of the target electrical device;
the first judging module 402 is configured to judge whether the target electrical device triggers an energy consumption abnormal event according to the current energy consumption monitoring data and the historical energy consumption monitoring data;
a second judging module 403, configured to, when the target electrical device triggers an energy consumption abnormal event, obtain target image data for the target electrical device from the intelligent device, and judge whether the target electrical device triggers an abnormal use event according to the target image data;
and a reminding module 404, configured to initiate an energy consumption abnormality reminding message for the target electrical device when it is determined that the target electrical device does not trigger the abnormal use event.
In an embodiment of the present invention, the first determining module 402 includes:
the energy consumption abnormal event first judgment submodule is used for determining a target deviation value of the current energy consumption monitoring data and the historical energy consumption monitoring data; and when the target deviation value exceeds a preset deviation threshold value, judging that the target electric equipment triggers an energy consumption abnormal event.
In an embodiment of the present invention, the first determining module 402 includes:
the energy consumption abnormal event second judgment submodule is used for determining a first energy consumption fluctuation amplitude corresponding to the current energy consumption monitoring data; determining a second energy consumption fluctuation amplitude corresponding to the historical energy consumption monitoring data; and when the first energy consumption fluctuation amplitude is larger than the second energy consumption fluctuation amplitude, judging that the target electric equipment triggers an energy consumption abnormal event.
In an embodiment of the present invention, the second determining module 403 includes:
the behavior identification submodule is used for identifying the target image data and judging whether a target user using the target electric equipment has abnormal use behaviors or not based on the identification result;
and the behavior judgment submodule is used for judging that the target electric equipment does not trigger the abnormal use event when the target user does not have the abnormal use behavior.
In an embodiment of the present invention, the apparatus further includes:
the storage module is used for determining the system time for acquiring the current energy consumption monitoring data and the target equipment identifier of the target electric equipment; and storing the image data and the current energy consumption monitoring data according to the system time and the target equipment identification.
In an embodiment of the present invention, the apparatus further includes:
the display module is used for determining a target device identifier of the target electric equipment and target position information of the target electric equipment; and displaying the current energy consumption monitoring data according to the target equipment identification and the target position information.
In an embodiment of the present invention, the apparatus further includes:
the request module is used for sending a monitoring data request to a target energy consumption monitoring sensor of target electric equipment according to a preset time interval; and after receiving the monitoring data request, the target energy consumption monitoring sensor returns the current energy consumption monitoring data to the electric equipment monitoring system.
In the embodiment of the invention, the electric equipment monitoring system can acquire current energy consumption monitoring data aiming at target electric equipment and historical energy consumption monitoring data of the target electric equipment, which are sent by a target energy consumption monitoring sensor; judging whether the target electric equipment triggers an energy consumption abnormal event or not according to the current energy consumption monitoring data and the historical energy consumption monitoring data; when the target electric equipment triggers an energy consumption abnormal event, target image data aiming at the target electric equipment is obtained from the intelligent equipment, and whether the target electric equipment triggers the abnormal use event or not is judged according to the target image data; and when the target electric equipment is judged not to trigger the abnormal use event, initiating an energy consumption abnormity reminding message aiming at the target electric equipment. According to the embodiment of the invention, when the power consumption abnormality of the power consumption equipment is detected, the image data of the power consumption equipment is acquired, and whether the abnormal use operation exists for the user using the power consumption equipment is judged by combining the image data, so that the cause of the abnormal power consumption of the power consumption equipment is analyzed, the abnormal power consumption of the power consumption equipment is accurately monitored, and the fault of the power consumption equipment is accurately monitored.
The embodiment of the invention also provides a server, which comprises a processor, a memory and a computer program which is stored on the memory and can run on the processor, wherein when the computer program is executed by the processor, the monitoring method of the electric equipment is realized.
The embodiment of the invention also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the monitoring method of the electric equipment is realized.
For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.
The method and the device for monitoring the electric equipment are described in detail, and the principle and the implementation mode of the invention are explained by applying specific examples, and the description of the examples is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. A monitoring method of electric equipment is characterized by being applied to an electric equipment monitoring system, wherein the electric equipment monitoring system is connected with an energy consumption monitoring sensor deployed for the electric equipment, and the electric equipment monitoring system is connected with intelligent equipment in an intelligent building, and the method comprises the following steps:
acquiring current energy consumption monitoring data aiming at target electric equipment and historical energy consumption monitoring data of the target electric equipment, wherein the current energy consumption monitoring data are sent by a target energy consumption monitoring sensor;
judging whether the target electric equipment triggers an energy consumption abnormal event or not according to the current energy consumption monitoring data and the historical energy consumption monitoring data;
when the target electric equipment triggers an energy consumption abnormal event, acquiring target image data aiming at the target electric equipment from the intelligent equipment, and judging whether the target electric equipment triggers an abnormal use event or not according to the target image data;
and when the target electric equipment is judged not to trigger the abnormal use event, initiating an energy consumption abnormity reminding message aiming at the target electric equipment.
2. The method of claim 1, wherein determining whether the target powered device triggers an energy consumption exception event based on the current energy consumption monitoring data and the historical energy consumption monitoring data comprises:
determining a target deviation value of the current energy consumption monitoring data and the historical energy consumption monitoring data;
and when the target deviation value exceeds a preset deviation threshold value, judging that the target electric equipment triggers an energy consumption abnormal event.
3. The method of claim 1, wherein determining whether the target powered device triggers an energy consumption exception event based on the current energy consumption monitoring data and the historical energy consumption monitoring data comprises:
determining a first energy consumption fluctuation amplitude corresponding to the current energy consumption monitoring data;
determining a second energy consumption fluctuation amplitude corresponding to the historical energy consumption monitoring data;
and when the first energy consumption fluctuation amplitude is larger than the second energy consumption fluctuation amplitude, judging that the target electric equipment triggers an energy consumption abnormal event.
4. The method of claim 1, wherein determining whether the target powered device triggers an abnormal use event based on the target image data comprises:
identifying the target image data, and judging whether a target user using the target electric equipment has abnormal use behaviors or not based on an identification result;
when the target user does not have the abnormal use behavior, the target electric equipment is judged not to trigger the abnormal use event.
5. The method of claim 1, further comprising:
determining system time for acquiring the current energy consumption monitoring data and a target device identifier of the target power utilization device;
and saving the image data and the current energy consumption monitoring data according to the system time and the target equipment identification.
6. The method of claim 1, further comprising:
determining a target device identification of the target electric equipment and target position information of the target electric equipment;
and displaying the current energy consumption monitoring data according to the target equipment identification and the target position information.
7. The method according to any one of claims 1-6, further comprising:
sending a monitoring data request to a target energy consumption monitoring sensor of the target electric equipment according to a preset time interval; and after receiving the monitoring data request, the target energy consumption monitoring sensor returns the current energy consumption monitoring data to the electric equipment monitoring system.
8. The utility model provides a monitoring device of consumer, its characterized in that is applied to consumer monitored control system, consumer monitored control system with do the energy consumption monitoring sensor that the consumer deployed is connected, just the consumer monitored control system is connected with the intelligent equipment in the intelligent building, the device includes:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring current energy consumption monitoring data aiming at target electric equipment and sent by a target energy consumption monitoring sensor, and historical energy consumption monitoring data of the target electric equipment;
the first judging module is used for judging whether the target electric equipment triggers an energy consumption abnormal event or not according to the current energy consumption monitoring data and the historical energy consumption monitoring data;
the second judgment module is used for acquiring target image data aiming at the target electric equipment from the intelligent equipment when the target electric equipment triggers an energy consumption abnormal event, and judging whether the target electric equipment triggers the abnormal use event or not according to the target image data;
and the reminding module is used for initiating an energy consumption abnormity reminding message aiming at the target electric equipment when the target electric equipment is judged not to trigger the abnormal use event.
9. A server, comprising a processor, a memory, and a computer program stored on the memory and capable of running on the processor, wherein the computer program, when executed by the processor, implements the method for monitoring a powered device according to any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out a method for monitoring an electrical consumer according to any one of claims 1 to 7.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111342475.5A CN114200877B (en) | 2021-11-12 | 2021-11-12 | Monitoring method and device for electric equipment |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111342475.5A CN114200877B (en) | 2021-11-12 | 2021-11-12 | Monitoring method and device for electric equipment |
Publications (2)
Publication Number | Publication Date |
---|---|
CN114200877A true CN114200877A (en) | 2022-03-18 |
CN114200877B CN114200877B (en) | 2024-02-27 |
Family
ID=80647527
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202111342475.5A Active CN114200877B (en) | 2021-11-12 | 2021-11-12 | Monitoring method and device for electric equipment |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN114200877B (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115063754A (en) * | 2022-08-18 | 2022-09-16 | 中国工业互联网研究院 | Equipment monitoring method, device, equipment and storage medium based on artificial intelligence |
CN115311836A (en) * | 2022-08-24 | 2022-11-08 | 云丁网络技术(北京)有限公司 | Method for pushing information and related product |
Citations (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CA2323285A1 (en) * | 1999-11-30 | 2001-05-30 | Ncr Corporation | Methods and apparatus for self-diagnosing electronic price labels |
CA2337728A1 (en) * | 2000-02-25 | 2001-08-25 | Square D Company | Energy management system |
WO2015096033A1 (en) * | 2013-12-24 | 2015-07-02 | 华为终端有限公司 | Method for detecting whether hardware of intelligent terminal is running abnormally and intelligent terminal |
CN107202604A (en) * | 2017-03-02 | 2017-09-26 | 湖南工业大学 | A kind of alert processing method and system |
WO2017161457A1 (en) * | 2016-03-24 | 2017-09-28 | Alert Labs Inc. | System and method for characterizing and passively monitoring a property to identify events affecting occupants of the property |
CN107733687A (en) * | 2017-09-06 | 2018-02-23 | 深圳市金立通信设备有限公司 | Prompt service abnormal method, terminal, server and computer-readable medium |
CN109239265A (en) * | 2018-09-11 | 2019-01-18 | 清华大学合肥公共安全研究院 | Monitoring device fault detection method and device |
CN110086649A (en) * | 2019-03-19 | 2019-08-02 | 深圳壹账通智能科技有限公司 | Detection method, device, computer equipment and the storage medium of abnormal flow |
CN110516847A (en) * | 2019-07-27 | 2019-11-29 | 中建科技有限公司 | A kind of building energy consumption exception feedback method and device |
CN110602450A (en) * | 2019-08-30 | 2019-12-20 | 深圳智慧林网络科技有限公司 | Monitoring method, system thereof and computer readable storage medium |
CN110837011A (en) * | 2019-09-27 | 2020-02-25 | 深圳市火乐科技发展有限公司 | Abnormal data processing method and device, intelligent projector and storage medium |
CN111385123A (en) * | 2018-12-29 | 2020-07-07 | 广州市百果园信息技术有限公司 | WEB service distributed intelligent monitoring method, device, computer equipment and storage medium |
CN111611254A (en) * | 2020-04-30 | 2020-09-01 | 广东良实机电工程有限公司 | Equipment energy consumption abnormity monitoring method and device, terminal equipment and storage medium |
CN113129475A (en) * | 2021-03-30 | 2021-07-16 | 广州小鹏汽车科技有限公司 | Monitoring method and device and vehicle |
WO2021208902A1 (en) * | 2020-04-15 | 2021-10-21 | 华为技术有限公司 | Sleep report generation method and apparatus, terminal, and storage medium |
WO2021217859A1 (en) * | 2020-04-30 | 2021-11-04 | 平安国际智慧城市科技股份有限公司 | Target anomaly identification method and apparatus, and electronic device and storage medium |
-
2021
- 2021-11-12 CN CN202111342475.5A patent/CN114200877B/en active Active
Patent Citations (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CA2323285A1 (en) * | 1999-11-30 | 2001-05-30 | Ncr Corporation | Methods and apparatus for self-diagnosing electronic price labels |
CA2337728A1 (en) * | 2000-02-25 | 2001-08-25 | Square D Company | Energy management system |
WO2015096033A1 (en) * | 2013-12-24 | 2015-07-02 | 华为终端有限公司 | Method for detecting whether hardware of intelligent terminal is running abnormally and intelligent terminal |
WO2017161457A1 (en) * | 2016-03-24 | 2017-09-28 | Alert Labs Inc. | System and method for characterizing and passively monitoring a property to identify events affecting occupants of the property |
CN107202604A (en) * | 2017-03-02 | 2017-09-26 | 湖南工业大学 | A kind of alert processing method and system |
CN107733687A (en) * | 2017-09-06 | 2018-02-23 | 深圳市金立通信设备有限公司 | Prompt service abnormal method, terminal, server and computer-readable medium |
CN109239265A (en) * | 2018-09-11 | 2019-01-18 | 清华大学合肥公共安全研究院 | Monitoring device fault detection method and device |
CN111385123A (en) * | 2018-12-29 | 2020-07-07 | 广州市百果园信息技术有限公司 | WEB service distributed intelligent monitoring method, device, computer equipment and storage medium |
CN110086649A (en) * | 2019-03-19 | 2019-08-02 | 深圳壹账通智能科技有限公司 | Detection method, device, computer equipment and the storage medium of abnormal flow |
CN110516847A (en) * | 2019-07-27 | 2019-11-29 | 中建科技有限公司 | A kind of building energy consumption exception feedback method and device |
CN110602450A (en) * | 2019-08-30 | 2019-12-20 | 深圳智慧林网络科技有限公司 | Monitoring method, system thereof and computer readable storage medium |
CN110837011A (en) * | 2019-09-27 | 2020-02-25 | 深圳市火乐科技发展有限公司 | Abnormal data processing method and device, intelligent projector and storage medium |
WO2021208902A1 (en) * | 2020-04-15 | 2021-10-21 | 华为技术有限公司 | Sleep report generation method and apparatus, terminal, and storage medium |
CN111611254A (en) * | 2020-04-30 | 2020-09-01 | 广东良实机电工程有限公司 | Equipment energy consumption abnormity monitoring method and device, terminal equipment and storage medium |
WO2021217859A1 (en) * | 2020-04-30 | 2021-11-04 | 平安国际智慧城市科技股份有限公司 | Target anomaly identification method and apparatus, and electronic device and storage medium |
CN113129475A (en) * | 2021-03-30 | 2021-07-16 | 广州小鹏汽车科技有限公司 | Monitoring method and device and vehicle |
Non-Patent Citations (2)
Title |
---|
卿晓霞;肖丹;王波;: "能耗实时监测的数据挖掘方法", 重庆大学学报, no. 07 * |
江航;卢暾;顾寒苏;丁向华;顾宁;: "一种动态实时高校建筑能耗异常检测方法", 计算机工程, no. 04 * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115063754A (en) * | 2022-08-18 | 2022-09-16 | 中国工业互联网研究院 | Equipment monitoring method, device, equipment and storage medium based on artificial intelligence |
CN115311836A (en) * | 2022-08-24 | 2022-11-08 | 云丁网络技术(北京)有限公司 | Method for pushing information and related product |
CN115311836B (en) * | 2022-08-24 | 2024-01-30 | 云丁网络技术(北京)有限公司 | Method for pushing information and related product |
Also Published As
Publication number | Publication date |
---|---|
CN114200877B (en) | 2024-02-27 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109001649B (en) | Intelligent power supply diagnosis system and protection method | |
CN114200877B (en) | Monitoring method and device for electric equipment | |
WO2017125014A1 (en) | Method and device for monitoring hard disk | |
CN110119128B (en) | Monitoring management system for laboratory electrical equipment | |
JP5520807B2 (en) | Residential electrical equipment maintenance management device and residential electrical equipment maintenance system | |
CN109446094B (en) | Stuck detection method and device, electronic equipment and storage medium | |
CN111353911A (en) | Power equipment operation and maintenance method, system, equipment and storage medium | |
CN112713423B (en) | Portable grounding wire state monitoring device and method | |
CN109470946A (en) | A kind of generating equipment fault detection method and system | |
CN113682184A (en) | Charging detection method, device and system for electric automobile | |
CN110749027B (en) | Monitoring method and device for electrical equipment, air conditioner and storage medium | |
CN110598876A (en) | Fault monitoring method and device, storage medium and electronic equipment | |
US20080255773A1 (en) | Machine condition monitoring using pattern rules | |
CN114492580A (en) | Water conservancy monitoring method, device, equipment and storage medium | |
CN109884537B (en) | Intelligent power distribution terminal backup storage battery state evaluation method and system | |
CN111626445A (en) | Electric appliance maintenance method and device, electronic equipment and storage medium | |
US20200301802A1 (en) | Using Steady-State Changes To Discern The Operating Performance Of An Individual Machine Operating On A Commonly Supplied Electrical Network Connected To Multiple Machines | |
CN115471968A (en) | Cable burglar alarm | |
WO2019128373A1 (en) | Detection method, device, computer device and storage medium for faulty device | |
CN113110390B (en) | Vehicle fault identification method and device, electronic equipment and storage medium | |
CN113359519B (en) | Experiment table | |
CN115880110A (en) | Job task monitoring method and device, electronic equipment and storage medium | |
CN112488439A (en) | Information presentation device, information presentation method, and information presentation system | |
CN111650909A (en) | Intelligent control system and method for sewage treatment process, readable storage medium and device | |
CN115016434B (en) | Bench, whole vehicle data linkage method and electronic equipment |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |