CN110944156A - Terminal equipment for monitoring power distribution room - Google Patents
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- CN110944156A CN110944156A CN201911258776.2A CN201911258776A CN110944156A CN 110944156 A CN110944156 A CN 110944156A CN 201911258776 A CN201911258776 A CN 201911258776A CN 110944156 A CN110944156 A CN 110944156A
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- 238000004891 communication Methods 0.000 claims abstract description 43
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- 238000006243 chemical reaction Methods 0.000 claims description 15
- 238000000034 method Methods 0.000 claims description 11
- 238000012545 processing Methods 0.000 claims description 8
- 230000007246 mechanism Effects 0.000 claims description 6
- 238000013527 convolutional neural network Methods 0.000 description 6
- 238000013135 deep learning Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
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- 238000012549 training Methods 0.000 description 3
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- 238000010276 construction Methods 0.000 description 2
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- 238000012423 maintenance Methods 0.000 description 1
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- 238000013021 overheating Methods 0.000 description 1
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- H—ELECTRICITY
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
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Abstract
The invention relates to a terminal device for monitoring in a power distribution room, which comprises: the video analysis module is used for receiving and analyzing power distribution room video stream data shot by a camera in a power distribution room in real time; the AI module is used for identifying and analyzing the multi-frame video image data to obtain a video identification result; the master control module is used for receiving and summarizing various sensor data, the video identification result and the sensing identification result which are detected by a plurality of sensors in the power distribution room; the edge calculation module is used for receiving a part of data in the multiple sensor data sent by the main control module, performing operation analysis on the part of data to obtain a sensing identification result, and returning the sensing identification result to the main control module; and the communication module is used for sending the other part of data in the video identification result, the sensing identification result and the sensor data to a cloud platform. The invention can realize the monitoring of the indoor condition of the power distribution room.
Description
Technical Field
The invention relates to the technical field of power distribution networks, in particular to a terminal device for indoor monitoring of a power distribution room.
Background
At present, most of domestic intelligent terminals of power distribution rooms are more, but the working principle of the intelligent terminals is that the intelligent terminals are mostly simply collected by sensors and uploaded to a background for judgment, and most of the intelligent terminals are not locally processed. A large amount of data is displayed in the background, so that operation and maintenance personnel have no way to do so, the main problem is that the computing capability of the prior embedded hardware is poor, and the capability of local computing cannot be achieved. For a long time, the work of a power distribution room is one of weak links of the reliability of the operation management of a power supply system, the tripping of switches of some power distribution rooms and the overheating of the environment of the power distribution room influence the operation of equipment, the water immersion of the power distribution room causes the damage of the equipment, the equipment of the power distribution room is stolen, the equipment is easily burnt, the normal power utilization condition of a user is easily influenced, at present, most of the power distribution equipment is mainly measured and inspected one by workers, the time and the labor are wasted, the real condition can not be reflected timely, and the actual problem can not be solved timely.
Disclosure of Invention
The invention aims to provide a terminal device for monitoring in a power distribution room, so as to realize monitoring of the indoor condition of the power distribution room.
The embodiment of the invention provides a terminal device for monitoring power distribution room indoor, which comprises:
the video analysis module is used for receiving and analyzing power distribution room video stream data shot by a camera in a power distribution room in real time to obtain multi-frame video image data;
the AI module is used for identifying and analyzing the multi-frame video image data to obtain a video identification result;
the main control module is used for receiving and summarizing various sensor data, the video identification result and the sensing identification result detected by a plurality of sensors in the power distribution room, and controlling an actuating mechanism in the power distribution room according to the video identification result and the sensing identification result;
the edge calculation module is used for receiving a part of data in the multiple sensor data sent by the main control module, performing operation analysis on the part of data to obtain a sensing identification result, and returning the sensing identification result to the main control module;
and the communication module is used for sending the other part of data in the video identification result, the sensing identification result and the sensor data to a cloud platform.
The part of data is sensor data with relatively high real-time requirement, and the other part of data is sensor data with relatively low real-time requirement.
Wherein, still include:
and the multi-protocol conversion module is in communication connection with the main control module and is used for carrying out communication protocol conversion processing on sensor data of various wireless sensors in the power distribution room and then transmitting the sensor data to the main control module.
Wherein, still include:
and the power carrier module is in communication connection with the main control module and is used for receiving the data of the power carrier sensor and sending the data of the power carrier sensor to the main control module.
Wherein, still include:
and the DIDO expansion module is in communication connection with the main control module and is used for I/O port expansion so as to access the switching value type wired sensor.
Wherein, still include:
and the power supply module is used for providing a working power supply for each module of the terminal equipment and comprises two power supply modes of commercial power and storage battery power supply.
Wherein, still include:
the video analysis module, the AI module, the main control module, the edge calculation module, the communication module, the multi-protocol conversion module and the power module are arranged in the equipment shell, and the DIDO extension module is arranged on the equipment shell.
The embodiment of the invention provides a terminal device for monitoring in a power distribution room, which at least comprises: the video analysis module, the AI module, the main control module, the edge calculation module and the communication module can receive and analyze various sensor data in the power distribution room and video data shot by the camera, and meanwhile, the edge calculation module has an edge calculation function and can perform local operation analysis on part of sensor data with high real-time requirements.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings. Of course, not all of the advantages described above need to be achieved at the same time in the practice of any one product or method of the invention.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a terminal device for monitoring in a power distribution room according to an embodiment of the present invention.
Fig. 2 is a schematic application diagram of a terminal device for monitoring in a power distribution room according to an embodiment of the present invention.
The labels in the figure are:
the system comprises a video analysis module-1, an AI module-2, a main control module-3, an edge calculation module-4, a communication module-5, a multi-protocol conversion module-6, a power carrier module-7, a power supply module-8, a DIDO extension module-9 and a cloud platform-10.
Detailed Description
Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. In the drawings, like reference numbers can indicate functionally identical or similar elements. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
In addition, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present invention. It will be understood by those skilled in the art that the present invention may be practiced without some of these specific details. In some instances, well known means have not been described in detail so as not to obscure the present invention.
An embodiment of the present invention provides a terminal device for monitoring in a power distribution room, where the terminal device is disposed in the power distribution room, fig. 1 is a schematic structural diagram of the terminal device in this embodiment, and fig. 2 is a schematic application diagram of the terminal device in this embodiment, with reference to fig. 1-2, the terminal device includes: the system comprises a video analysis module 1, an AI module 2, a main control module 3, an edge calculation module 4, a communication module 5, a multi-protocol conversion module 6, a power carrier module 7, a power supply module 8 and a Siemens DIDO expansion module 9.
The following describes in detail the connection relationship and specific working principle of the above modules of the terminal device:
in this embodiment, the video analysis module 1 is configured to receive and analyze power distribution room video stream data shot by a camera in a power distribution room in real time, obtain multi-frame video image data, and store the multi-frame video image data in a memory of a terminal device.
Specifically, a camera is respectively arranged at different positions in the power distribution room, and a plurality of cameras shoot the environmental conditions in the power distribution room in real time. The video parsing module 1 has a plurality of input interfaces, which are respectively used for being connected with the output ends of the plurality of cameras to receive video stream data of the plurality of cameras. It can be understood that the model of the video parsing module 1 may be specifically selected according to the format of the video stream data output by the camera, and this embodiment is not specifically limited, and the format of the video stream data is, for example, ASF, NAVI, AVI, MPEG, or the like; the video parsing module 1 may employ a video chip capable of processing one of the video stream data formats, for example, a TVP5150AM1IPBSR video chip.
In this embodiment, the AI module 2 is configured to perform recognition analysis on the multiple frames of video image data to obtain a video recognition result.
Specifically, the AI module 2 includes at least a processor, and the memory stores computer readable instructions, which when executed by the processor, cause the processor to perform recognition analysis on the multi-frame video image data, such as face recognition, work clothes helmet recognition, switch cabinet switch state recognition, and the like, and the corresponding video recognition result is whether there is a non-worker mistaken entry or not, and the switch cabinet switch state. It can be understood that the identification of the image data can be specifically realized by using a Convolutional Neural Network (CNN) and a Deep Learning network (Deep Learning), and specific examples thereof are network models such as LeNet-5, VGG, AlexNet, etc., it should be noted that the Convolutional Neural Network (CNN) and the Deep Learning network (Deep Learning) are widely applied to image identification, and the principle thereof is that training is performed based on features of a large amount of sample data, and a stable model for identifying an image is finally obtained, for example, identification of a work clothes helmet is obtained, the work clothes helmet has its unique features, training is performed according to a large amount of image sample data related to the work clothes helmet, and finally, a model for distinguishing whether an object in the identified image is the work clothes helmet or not can be obtained according to image features. Similarly, the recognition training can be carried out on the human face, the switch state of the switch cabinet and the like. The computer readable instruction is an instruction code corresponding to a network model such as LeNet-5, VGG, AlexNet, etc. It should be noted that, in the present embodiment, the identification processing is performed on the video image data in the power distribution room by using the image identification technologies of the Convolutional Neural Network (CNN) and the Deep Learning network (Deep Learning), which are well known to those skilled in the art, and therefore, other contents related to the network model are not described herein again.
In this embodiment, the multi-protocol conversion module 6 is communicatively connected to the main control module 3, and is configured to perform communication protocol conversion processing on sensor data of various wireless sensors in the power distribution room and transmit the processed sensor data to the main control module 3. The DIDO expansion module 9 is in communication connection with the main control module 3, and is configured to expand an I/O port to access a switching value wired sensor. The power carrier module 7 is in communication connection with the main control module 3, and is configured to receive power carrier data, and for sensor data in a power carrier communication manner, the sensor data may be transmitted to the main control module 3 in this embodiment through the power carrier module 7. The power carrier data comprises data related to the power box (low-voltage branch box) from the low-voltage cabinet to the power box and the user electric meter. The main control module 3 is configured to receive and aggregate multiple types of sensor data detected by multiple sensors in the power distribution room through the multi-protocol conversion module 6, the DIDO expansion module 9, and the power carrier module 7, and analyze the multiple types of sensor data.
Specifically, the various sensor data include, but are not limited to, several data of temperature, humidity, smoke, fan state, door control, low-voltage cabinet electrical quantity, transformer operation state, ring main unit operation state, and SF6 leakage state in the power distribution room. Because different equipment settings in the power distribution room are different, sensor data are specifically set according to the actual equipment setting conditions in the power distribution room, correspondingly, various types of data can be acquired by sensors of corresponding types, for example, temperature data is acquired by a temperature sensor in real time, smoke sensation data can be acquired by a smoke sensor in real time, the functions and communication modes of various sensors are well known to those skilled in the art, and therefore suitable sensors can be selected according to target data to be acquired, and the details are not repeated herein.
In the intelligent power distribution room construction process, there are many kinds of wireless sensors such as wireless temperature and humidity sensor, wireless passive bandage formula sensor, wireless low pressure load branch table etc. and the wireless communication protocol of various wireless sensors is different, and the communication mode is also different, has multiple modes such as 433MHz, zigbee, loRa. So many wireless sensors are all collected and converted into wired signals by collectors of respective manufacturers, and the wired signals are collected and sent to terminal equipment in a unified way.
More specifically, the plurality of sensors include a plurality of communication modes such as wireless, wired, and carrier, wherein the plurality of different types of wired switching value sensors are connected to the DIDO extension module 9, so as to transmit sensor data to the main control module 3 of this embodiment through the DIDO extension module 9.
Wherein, in the intelligent power distribution room construction process, there are many kinds of wireless sensor, like wireless temperature and humidity sensor, wireless passive bandage formula sensor, wireless low pressure load branch table etc. and the wireless communication protocol of various wireless sensor is different, and the communication mode is also different, has multiple modes such as 433MHz, zigbee, loRa. The wireless sensors of different types transmit sensor data to the main control module 3 of the embodiment through the multi-protocol conversion module 6, and the wireless sensors of different types collect and convert the wireless data into wired signals through collectors of respective manufacturers and send the wired signals to the main control module 3 of the terminal device in an integrated and unified manner. Different wireless sensors have different communication modes and communication protocols, and therefore, a multi-protocol conversion module 6 (i.e., a gateway) is provided in this embodiment, and the multi-protocol conversion module 6 is a wireless communication module 5, and is configured to obtain multiple communication protocols of various manufacturers in a power distribution room, and convert the communication protocols of the sensor data of the multiple wireless sensors according to the multiple communication protocols to obtain the communication protocol of the local main control module 3, so that the main control module 3 can analyze the sensor data of the multiple wireless sensors according to the communication protocols. The wireless communication sensors are used for acquiring low-voltage electricity data, such as voltage, current, cable head temperature, frequency, three-phase unbalance degree and other electricity quantity data of a feeder cabinet loop of the low-voltage cabinet, states of a low-voltage main switch and a load switch and the like.
Specifically, PLC, which is Power line Communication, is an acronym for english Power line Communication. The power carrier is a communication method specific to a power system, and the power carrier communication is a technology for transmitting an analog or digital signal at a high speed by a carrier method using an existing power line. The method has the greatest characteristic that data transmission can be carried out only by wires without erecting a network again.
The edge calculation module 4 is used for performing operation analysis on a part of data in the multiple sensor data to obtain a sensing identification result according to the real-time requirement of the multiple sensor data processing; the part of data is sensor data with relatively high real-time requirement, and the other part of data is sensor data with relatively low real-time requirement.
Specifically, edge computing originates from the media field, and means that an open platform integrating network, computing, storage, and application core capabilities is adopted on one side close to an object or a data source to provide a nearest service nearby. The application program is initiated at the edge side, so that a faster network service response is generated, and the basic requirements of the industry in the aspects of real-time business, application intelligence, safety, privacy protection and the like are met. The edge computing is between the physical entity and the industrial connection or on top of the physical entity, and the cloud platform 10 computing still has access to the historical data of the edge computing. In this embodiment, in order to reduce the operation pressure of the cloud platform 10, the local edge operation processing can be realized without timely acquiring/processing the mass data of the internet of things, and the mass data of the internet of things does not need to be uploaded to the cloud platform 10 for calculation. For sensor data with relatively high real-time requirements in various sensor data, the edge calculation module 4 is used for performing local calculation analysis, so that unnecessary data volume is reduced, and the safety protection requirements of the power monitoring system are met. For example: the automatic monitoring and video recording function is achieved through the power distribution room access control system, the infrared double-technology detector and the video monitoring, when the access control system and the infrared double-technology detector generate warning information and illegal invasion of social personnel is found, the terminal equipment can start a video inspection and video recording mode, start to record video and store the video in the local storage and push video data to the main station cloud platform 10 to give an alarm. The edge calculation module 4 in this embodiment at least includes a processor, and can perform calculation analysis on sensor data with a relatively high real-time requirement, and perform local calculation near a physical environment or a data source in an effort to realize real-time acquisition and real-time calculation of partial data localization. The data of the multiple sensors are divided into two types, one type is data with high real-time requirements, the other type is data with low real-time requirements, and the sensor data are transmitted to the cloud platform 10 to be processed and then returned to the terminal equipment, so that a certain time is required, therefore, edge calculation is adopted for the data with high real-time requirements, the calculation pressure of the cloud platform 10 is reduced, and the real-time requirements are met.
The main control module 3 controls an executing mechanism in the power distribution room according to the video recognition result and the sensing recognition result, the executing mechanism is, for example, an exhaust fan, and for example, if the sensing recognition result indicates that the temperature of the power distribution room exceeds a set threshold value, the main control module 3 controls the exhaust fan to be started so as to reduce the room temperature of the power distribution room. It should be noted that, in this embodiment, an exhaust fan is taken as an example for illustration, but the execution mechanism may also be another device, and based on the terminal device provided in this embodiment, a person skilled in the art knows that the control function of the main control module 3 can be appropriately extended, and sets a corresponding execution mechanism, which are settings that can be easily made on the basis of the inventive concept of the present invention, and therefore, details are not described herein.
In this embodiment, the communication module 5 is configured to send another part of the video recognition result, the sensing recognition result, and the sensor data to the cloud platform 10. Specifically, the communication module 5 preferably adopts a 4G or 5G communication module 5, and may transmit to the master cloud platform 10 through a 4G or 5G wireless private network.
In this embodiment, the power module 8 is configured to provide an operating power supply for each module of the terminal device, and includes two power supply modes, namely a mains supply mode and a battery supply mode.
In an embodiment, in order to protect the above modules of the terminal device, an equipment housing is provided, the video parsing module 1, the AI module 2, the main control module 3, the edge computing module 4, the communication module 5, the multi-protocol conversion module 6, and the power module 8 are disposed in the equipment housing, and the DIDO extension module 9 and the power carrier module 7 are disposed on the equipment housing so as to be connected to the corresponding sensing units.
Having described embodiments of the present invention, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (7)
1. A terminal device for monitoring in a power distribution room, comprising:
the video analysis module is used for receiving and analyzing power distribution room video stream data shot by a camera in a power distribution room in real time;
the AI module is used for identifying and analyzing the multi-frame video image data to obtain a video identification result;
the main control module is used for receiving and summarizing various sensor data, the video identification result and the sensing identification result detected by a plurality of sensors in the power distribution room, and controlling an executing mechanism in the power distribution room according to the video identification result and the sensing identification result;
the edge calculation module is used for receiving a part of data in the multiple sensor data sent by the main control module, performing operation analysis on the part of data to obtain a sensing identification result, and returning the sensing identification result to the main control module;
and the communication module is used for sending the other part of data in the video identification result, the sensing identification result and the sensor data to a cloud platform.
2. The terminal device for monitoring in a power distribution room of claim 1, wherein the one portion of data is sensor data with relatively high real-time requirements, and the other portion of data is sensor data with relatively low real-time requirements.
3. The power distribution room interior monitoring method of claim 1, further comprising:
and the multi-protocol conversion module is in communication connection with the main control module and is used for carrying out communication protocol conversion processing on sensor data of various wireless sensors in the power distribution room and then transmitting the sensor data to the main control module.
4. The power distribution room interior monitoring method of claim 3, further comprising:
and the DIDO expansion module is in communication connection with the main control module and is used for I/O port expansion so as to access the switching value type wired sensor.
5. The power distribution room interior monitoring method of claim 4, further comprising:
and the power carrier module is in communication connection with the main control module and is used for receiving the data of the power carrier sensor and sending the data of the power carrier sensor to the main control module.
6. The power distribution room interior monitoring method of claim 1, further comprising:
and the power supply module is used for providing a working power supply for each module of the terminal equipment and comprises two power supply modes of commercial power and storage battery power supply.
7. The power distribution room interior monitoring method of claim 1, further comprising:
the video analysis module, the AI module, the main control module, the edge calculation module, the communication module, the multi-protocol conversion module and the power module are arranged in the equipment shell, and the DIDO extension module is arranged on the equipment shell.
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| CN111694048B (en) * | 2020-06-30 | 2023-09-26 | 中国石油天然气集团有限公司 | Controllable seismic source monitoring method and device and seismic source monitoring system |
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