CN117590758A - Control system of high-efficiency energy-saving machine room - Google Patents
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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- G—PHYSICS
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- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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Abstract
The invention discloses a control system of a high-efficiency energy-saving machine room, which relates to the technical field of machine room control and comprises an energy monitoring module, a monitoring sensing module, a light control module, an energy consumption prediction module, a chart conversion module, a data decision module and a safety monitoring module.
Description
Technical Field
The invention relates to the technical field of machine room control, in particular to a control system of a high-efficiency energy-saving machine room.
Background
A computer room refers to a physical space dedicated to storing, managing and handling large-scale computer devices, servers, data storage devices, network devices, and related components, which are commonly used to support various information technology operations, including data processing, storage, network communications, and application hosting.
In the prior art, people often detect various data in a machine room through sensors with different positions and different functions, so that the computer equipment is ensured to be normally used in a proper environment.
However, in the practical use process, the safety of the machine room is not limited to the safety of the network environment and the natural environment, namely, under the condition that computer equipment in the machine room is impacted by external force and collided, and an unknown person enters the machine room to steal data, the situation that the data are stolen or the facilities of the machine room are damaged still easily occurs, and unnecessary losses are brought to a machine room manager, therefore, the control system of the high-efficiency energy-saving machine room is provided.
Disclosure of Invention
The invention mainly aims to provide a control system of a high-efficiency energy-saving machine room, which solves the problems that computer equipment in the machine room is impacted by external force and collided in the background art, and the situation that data are stolen or the facilities of the machine room are damaged still easily occurs when unknown people enter the machine room to steal the data.
In order to achieve the above object, the control system of the present invention provides a control system of an efficient energy-saving machine room, the control system of the efficient energy-saving machine room includes:
the energy monitoring module is used for monitoring energy consumption of the machine room and providing data support for energy management, and comprises an electric power distribution module and an electric power calculation module;
the monitoring sensing module is used for monitoring and collecting temperature, humidity, video information and wind speed in the machine room and comprises an integrated sensing module, a video shooting and recording module and an image recognition module;
the light control module is used for controlling the illumination system of the machine room and comprises a light controller module, a sensing control module and a remote control module;
the energy consumption prediction module is used for predicting the energy use condition in the machine room according to meteorological data and seasonal variation factors and comprises a feature establishment module, a model algorithm module and an algorithm optimization module;
the chart conversion module is used for receiving the signals transmitted by the energy monitoring module and the monitoring sensing module and displaying the signals at the control terminal in a chart mode, and comprises a data processing module, a chart generating module and a data storage module;
the data decision module is used for analyzing the machine room data and providing decision support and optimization suggestions, and comprises a data cleaning module, a data analysis module and a report generation module;
the safety monitoring module is used for monitoring the safety state of the machine room and giving an alarm when an abnormal condition occurs, and comprises an information receiving module, an alarm grading module and an alarm feedback module.
Preferably, the power distribution module is used for distributing the power consumption states of various energy consumption devices in the machine room, the power distribution module is used for distributing power to realize the start and stop of the devices and the control of running power, meanwhile, the module supports the control through remote wireless signals, and the power calculation module is used for collecting the power consumption of various groups of devices in the machine room and the whole power consumption in the machine room in real time and generating corresponding data reports according to the energy consumption conditions of the devices.
Preferably, the integrated sensing module is used for carrying out integrated processing on various sensors arranged in the machine room, uniformly receiving sensing signals fed back by the sensors, carrying out position classification and division on the sensing signals according to port codes of the corresponding sensors, simultaneously sending the sensing signals to the chart conversion module and the data decision module, and the video shooting module is used for connecting and controlling various groups of monitoring equipment in the machine room and feeding back generated images of the monitoring equipment to the image recognition module in sequence according to port numbers of the monitoring equipment.
Preferably, in the process of establishing the image recognition module, a video data set containing various actions and behaviors needs to be collected in advance, each action and behavior in the video is marked as characteristic data, and machine learning is performed based on the video data set, in addition, in the process of detecting, the image recognition module automatically matches three groups of behavior decisions which are the most similar to the action process of the human body according to the characteristic points of the human body in the motion process, including joint, head, hand and foot positions and the action process, and feeds back the behavior screenshot with certain potential safety hazards to the safety monitoring module for alarm processing, meanwhile, in the process of performing image recognition, a monitoring probe tries to recognize face data of each human figure entering a monitoring area and compares the face data with a database of machine room management operation staff, and when the comparison is successful, the image recognition module reduces the detection frequency of the motion characteristics of the human body.
Preferably, the light control module is used for receiving and processing signals from various sensors and switches to control the brightness, color temperature and on/off operation of the light, and the light control module supports intelligent control based on preset time schedule, illumination sensor, human body sensor and other conditions, the sensing control module is used for detecting the existence and activity of human body, when a person enters or leaves a specific area, the human body sensor sends signals to the illumination controller, based on the signals, the illumination controller can automatically adjust the on/off state or brightness level of the light, the remote control module allows a user to remotely control the light through a mobile phone application or a cloud platform, even if the operator is far away from a machine room, the remote control module can be connected to the remote control module through the internet, and the remote control module can send control instructions to the light control module according to corresponding control signals.
Preferably, the feature establishing module is used for processing and converting collected historical energy consumption data, including historical energy consumption data stored in an energy consumption recorder, a smart meter and sensor equipment, time and environmental weather data, and providing feature information capable of capturing an energy consumption change rule and influence factors for the model algorithm module, and the model algorithm module is used for carrying out algorithm modeling on the feature data fed back by the feature establishing module, including regression model, time sequence analysis and machine learning algorithm, and can carry out training verification by using the historical data when the model establishment is completed so as to evaluate the algorithm prediction precision.
Preferably, the algorithm optimization module predicts future energy consumption by using a trained and verified model, outputs a prediction result, wherein the prediction result comprises energy consumption trend and energy consumption fluctuation range information in a future period of time, and can optimize the algorithm according to the actual energy consumption trend and energy consumption value.
Preferably, the data processing module mainly comprises a filter and a signal amplifier, and is capable of filtering and amplifying each group of received sensor signals, and outputting the signals to the chart generating module after the signal processing is completed, wherein the chart generating module is used for marking the received digital signals into charts, generating a chart including a temperature-time chart, a humidity-time chart and an air flow rate-time chart in a chart mode, and controlling a terminal of the generated chart display value for an operator to review, and the data storage module is used for storing the charts generated in the chart generating module and the signals received by the charts and enabling feedback information of the sensors to be traced back for a long time.
Preferably, the data cleaning module is used for removing the received specific signals, including missing values, abnormal values and repeated data in signal transmission, and performing data standardization to ensure the quality and consistency of the data, the data analysis module is used for finding patterns and associations hidden in the data in a mode including statistical analysis, machine learning and deep learning, integrating data analysis results after analysis and calculation, providing a decision model and decision making, and the report generating module is used for performing report generation on related decisions made in the data analysis module and performing standardization processing on planned distribution typesetting in the report.
Preferably, the information receiving module is configured to receive the abnormal alarm signals transmitted by the front-end energy monitoring module and the monitoring sensing module, and be capable of locating the abnormal state position according to the device port number of the uploaded alarm signal, the alarm classification module is configured to classify the abnormal signal values transmitted by the devices into abnormal levels, and divide the abnormal states into three levels of abnormal, emergency abnormal and serious abnormal according to the number of the devices and the alarm values, and for different abnormal conditions, the alarm classification module is configured to send the abnormal alarm signals to machine room managers of different levels, and report the abnormal device positions at the same time, and the alarm feedback module is configured to generate an overhaul report according to the fault abnormal information after the device abnormal information is eliminated, and send the overhaul report to the corresponding operation and maintenance manager for filling records. .
Compared with the prior art, the invention has the following beneficial effects:
(1) When the control system of the high-efficiency energy-saving machine room is used, the video shooting and recording module monitors the internal environment of the machine room when being started, and can execute the image recognition module when abnormal flashing signals appear in the machine room or unidentified abnormal personnel enter the machine room, the flash point signal image recognition module can detect whether the flash point signal image recognition module belongs to a fire source or is a device abnormal alarm lamp to flash, and corresponding alarm signals are sent out to the safety monitoring module in a targeted mode, meanwhile, when the abnormal personnel enter the machine room, the video shooting and recording module monitors behavior actions of the abnormal personnel, and can feed back alarm information and warn the abnormal personnel through the alarm information when the abnormal personnel possibly generate harm to equipment in the machine room.
(2) When the control system of the high-efficiency energy-saving machine room is used, the energy consumption prediction module generates energy consumption prediction values of all groups of equipment in the machine room according to environmental factors and historical energy consumption data, and predicts the independent energy consumption of each group of equipment, a reasonable energy optimization strategy can be formulated based on the prediction results, and meanwhile, the energy consumption prediction module can detect abnormal behaviors or abnormal energy consumption of the equipment, so that the abnormal behaviors or abnormal energy consumption of the equipment can be used for timely finding out equipment faults or conditions with reduced performance, and people can maintain ageing equipment in advance in a targeted manner by observing the generated energy consumption prediction data, so that the energy consumption in the machine room is reduced.
(3) When the control system of the high-efficiency energy-saving machine room is used, alarm information sent by each group of sensors and video monitoring devices in the machine room is received through the safety monitoring module, and the internal alarm grading module carries out grading treatment on abnormal conditions according to the number of the sensors which are simultaneously used for alarming and the numerical value fed back by the sensors exceeds the standard, so that when the abnormal alarm conditions of different types are faced, an maintainer can judge whether maintenance is needed according to the specific conditions of the maintainer, and meanwhile, the maintainer of different grades can be distributed to the site for maintenance according to the alarm conditions of different grades.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to the structures shown in these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow diagram of a control system of the present high efficiency energy saving machine room;
FIG. 2 is a block diagram of an energy monitoring module according to the present invention;
FIG. 3 is a flow chart of a monitoring sensor module according to the present invention;
FIG. 4 is a block diagram of a light control module according to the present invention;
FIG. 5 is a block diagram of an energy consumption prediction module according to the present invention;
FIG. 6 is a flowchart of a chart transformation module of the present invention;
FIG. 7 is a block diagram of a data decision module according to the present invention;
FIG. 8 is a flow chart of a security monitoring module according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that all directional indicators (such as up, down, left, right, front, and rear … …) in the embodiments of the present invention are merely used to explain the relative positional relationship, movement, etc. between the components in a particular posture (as shown in the drawings), and if the particular posture is changed, the directional indicator is changed accordingly.
Furthermore, the description of "first," "second," etc. in this disclosure is for descriptive purposes only and is not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In addition, the technical solutions of the embodiments may be combined with each other, but it is necessary to base that the technical solutions can be realized by those skilled in the art, and when the technical solutions are contradictory or cannot be realized, the combination of the technical solutions should be considered to be absent and not within the scope of protection claimed in the present invention.
Referring to fig. 1-8, the present invention provides a technical solution: a control system of an efficient energy-saving machine room, the control system of the efficient energy-saving machine room comprising:
the energy monitoring module is used for monitoring energy consumption of the machine room and providing data support for energy management, and comprises an electric power distribution module and an electric power calculation module;
the monitoring sensing module is used for monitoring and collecting temperature, humidity, video information and wind speed in the machine room and comprises an integrated sensing module, a video shooting and recording module and an image recognition module;
the light control module is used for controlling the illumination system of the machine room and comprises a light controller module, a sensing control module and a remote control module;
the energy consumption prediction module is used for predicting the energy use condition in the machine room according to meteorological data and seasonal variation factors and comprises a feature establishment module, a model algorithm module and an algorithm optimization module;
the chart conversion module is used for receiving the signals transmitted by the energy monitoring module and the monitoring sensing module and displaying the signals at the control terminal in a chart mode, and comprises a data processing module, a chart generating module and a data storage module;
the data decision module is used for analyzing the machine room data and providing decision support and optimization suggestions, and comprises a data cleaning module, a data analysis module and a report generation module;
the safety monitoring module is used for monitoring the safety state of the machine room and giving an alarm when an abnormal condition occurs, and comprises an information receiving module, an alarm grading module and an alarm feedback module.
The power distribution module is used for distributing the power utilization states of various energy consumption devices in the machine room, the power distribution module is used for distributing power to realize the start and stop of the devices and the control of running power, meanwhile, the module supports the control through remote wireless signals, and the power calculation module is used for collecting the power utilization amount of various groups of devices in the machine room and the whole power utilization amount in the machine room in real time and generating a corresponding data report according to the energy consumption condition of the devices.
The integrated sensing module is used for carrying out integrated processing on various sensors arranged in the machine room, uniformly receiving sensing signals fed back by the sensors, carrying out position classification and division on the sensing signals according to port codes of the corresponding sensors, simultaneously sending the sensing signals to the chart conversion module and the data decision module, and the video shooting module is used for connecting and controlling various groups of monitoring equipment in the machine room and feeding back images generated by the monitoring equipment to the image recognition module in sequence according to port numbers of the monitoring equipment.
In the process of establishing the image recognition module, a video data set containing various actions and behaviors needs to be collected in advance, each action and behavior in the video is marked as characteristic data, and machine learning is carried out according to the characteristic data, in addition, in the process of detection, the image recognition module automatically matches three groups of behavior judgment which are the closest to the action process of the human body according to the characteristic points of the human body in the motion process, including joint, head, hand and foot positions and the action process, and feeds back the behavior screenshot with certain potential safety hazards to the safety monitoring module for alarm processing, meanwhile, in the process of carrying out image recognition, a monitoring probe tries to identify human face data of each human figure entering a monitoring area and compares the human face data with a machine room management operation personnel database, and when comparison is successful, the image recognition module reduces the detection frequency of the motion characteristics of the human body.
The light control module is used for receiving and processing signals from various sensors and switches to control the brightness, the color temperature and the on/off operation of the light, the light control module supports intelligent control based on preset timetables, illumination sensors, human body sensors and other conditions, the sensing control module is used for detecting the existence and the activity of a human body, when a person enters or leaves a specific area, the human body sensors send signals to the lighting controller, the lighting controller can automatically adjust the on/off state or the brightness level of the light based on the signals, the remote control module allows a user to remotely control the light through a mobile phone application or a cloud platform, even if an operator is far away from a machine room, the remote control module can be connected to the remote control module through the Internet, and the remote control module can send control instructions to the light control module according to corresponding control signals.
The characteristic establishment module is used for processing and converting collected historical energy consumption data, wherein the historical energy consumption data comprises an energy consumption recorder, a smart meter and historical energy consumption data, time and environmental weather data stored in sensor equipment, characteristic information capable of capturing an energy consumption change rule and influence factors is provided for the model algorithm module, the model algorithm module is used for carrying out algorithm modeling on the characteristic data fed back by the characteristic establishment module, the model algorithm module comprises a regression model, time sequence analysis and a machine learning algorithm, training and verifying the model by using the historical data when the model establishment is completed to evaluate the algorithm prediction precision, the algorithm optimization module predicts future energy consumption by using the trained and verified model and outputs a prediction result, the prediction result comprises energy consumption trend and energy consumption fluctuation range information in a future period, and the algorithm can be optimized according to the actual energy consumption trend and energy consumption value.
The data processing module mainly comprises a filter and a signal amplifier, and is capable of filtering and amplifying each group of received sensor signals, and outputting the signals to the chart generating module after the signal processing is completed, wherein the chart generating module is used for marking the received digital signals into charts, generating a temperature-time line chart, a humidity-time line chart and an air flow rate-time line chart in a line chart mode, and enabling the generated chart to display a value control terminal for an operator to review, and the data storage module is used for storing charts generated in the chart generating module and the signals received by the charts and enabling feedback information of the sensors to be traced back for a long time.
The data cleaning module is used for removing the received specific signals, including missing values, abnormal values and repeated data in signal transmission, so that the information received by the data receiving module is high in effectiveness, data standardization is carried out to ensure the quality and consistency of the data, the data analysis module is used for finding out the mode and the association between the data and the data in a mode including statistical analysis, machine learning and deep learning, integrating data analysis results after analysis and calculation, providing a decision model and decision making, providing a using plan and a related scheme for reducing the energy consumption of a machine room control system for people according to the result report obtained by analysis in the data analysis module, and the report generating module is used for carrying out reporting generation on the related decisions made in the data analysis module and carrying out standardization processing on the planned distribution typesetting in the report.
The information receiving module is used for receiving the abnormal alarm signals transmitted in the front-end energy monitoring module and the monitoring sensing module, and can position the abnormal state according to the device port number of the uploaded alarm signals, the alarm grading module is used for classifying abnormal grades according to the abnormal signal values transmitted by the devices, dividing the abnormal states into three grades of abnormal, emergency abnormal and serious abnormal according to the number of the devices and the alarm values which are simultaneously used for alarming, aiming at different abnormal conditions, the alarm grading module can send the abnormal alarm signals to machine room management personnel of different grades, report the abnormal device positions at the same time, and meanwhile, a plurality of groups of buzzers are arranged in the machine room, and are controlled by the alarm grading module, so that when the suspicious personnel enter the machine room, the buzzers can give buzzes and alarm accordingly, and the alarm feedback module is used for generating an overhaul report according to the fault abnormal information after the equipment abnormal information is eliminated and sending the overhaul report to the corresponding operation and maintenance management personnel for recording.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A control system of a high-efficiency energy-saving machine room is characterized in that: the control system of the efficient energy-saving machine room comprises:
the energy monitoring module is used for monitoring energy consumption of the machine room and providing data support for energy management, and comprises an electric power distribution module and an electric power calculation module;
the monitoring sensing module is used for monitoring and collecting temperature, humidity, video information and wind speed in the machine room and comprises an integrated sensing module, a video shooting and recording module and an image recognition module;
the light control module is used for controlling the illumination system of the machine room and comprises a light controller module, a sensing control module and a remote control module;
the energy consumption prediction module is used for predicting the energy use condition in the machine room according to meteorological data and seasonal variation factors and comprises a feature establishment module, a model algorithm module and an algorithm optimization module;
the chart conversion module is used for receiving the signals transmitted by the energy monitoring module and the monitoring sensing module and displaying the signals at the control terminal in a chart mode, and comprises a data processing module, a chart generating module and a data storage module;
the data decision module is used for analyzing the machine room data and providing decision support and optimization suggestions, and comprises a data cleaning module, a data analysis module and a report generation module;
the safety monitoring module is used for monitoring the safety state of the machine room and giving an alarm when an abnormal condition occurs, and comprises an information receiving module, an alarm grading module and an alarm feedback module.
2. The control system of an energy efficient machine room of claim 1, wherein: the power distribution module is used for distributing the power consumption states of various energy consumption devices in the machine room, the power distribution module is used for distributing power to realize the start and stop of the devices and the control of running power, meanwhile, the module supports the control through remote wireless signals, and the power calculation module is used for collecting the power consumption of various groups of devices in the machine room and the whole power consumption in the machine room in real time and generating corresponding data reports according to the energy consumption conditions of the devices.
3. The control system of an energy efficient machine room of claim 1, wherein: the integrated sensing module is used for carrying out integrated processing on various sensors arranged in the machine room, uniformly receiving sensing signals fed back by the sensors, carrying out position classification and division on the sensing signals according to port codes of the corresponding sensors, simultaneously sending the sensing signals to the chart conversion module and the data decision module, and the video shooting module is used for connecting and controlling various groups of monitoring equipment in the machine room and feeding back images generated by the monitoring equipment to the image recognition module in sequence according to port numbers of the monitoring equipment.
4. The control system of an energy efficient machine room of claim 1, wherein: in the process of establishing the image recognition module, a video data set containing various actions and behaviors needs to be collected in advance, each action and behavior in the video is marked as characteristic data, and machine learning is carried out according to the characteristic data, in addition, in the process of detection, the image recognition module automatically matches three groups of behavior judgment which are the closest to the action process of the human body according to the characteristic points of the human body in the motion process, including joint, head, hand and foot positions and the action process, and feeds back the behavior screenshot with certain potential safety hazards to the safety monitoring module for alarm processing, meanwhile, in the process of carrying out image recognition, a monitoring probe tries to identify human face data of each human figure entering a monitoring area and compares the human face data with a machine room management operation personnel database, and when comparison is successful, the image recognition module reduces the detection frequency of the motion characteristics of the human body.
5. The control system of an energy efficient machine room of claim 1, wherein: the light control module is used for receiving and processing signals from various sensors and switches to control the brightness, the color temperature and the on/off operation of the light, the light control module supports intelligent control based on preset timetables, illumination sensors, human body sensors and other conditions, the sensing control module is used for detecting the existence and the activity of a human body, when a person enters or leaves a specific area, the human body sensors send signals to the lighting controller, the lighting controller can automatically adjust the on/off state or the brightness level of the light based on the signals, the remote control module allows a user to remotely control the light through a mobile phone application or a cloud platform, even if an operator is far away from a machine room, the remote control module can be connected to the remote control module through the Internet, and the remote control module can send control instructions to the light control module according to corresponding control signals.
6. The control system of an energy efficient machine room of claim 1, wherein: the characteristic establishment module is used for processing and converting collected historical energy consumption data, wherein the historical energy consumption data comprises an energy consumption recorder, a smart meter and historical energy consumption data stored in sensor equipment, time and environmental weather data, and provides characteristic information capable of capturing an energy consumption change rule and influence factors for the model algorithm module, and the model algorithm module is used for carrying out algorithm modeling on the characteristic data fed back by the characteristic establishment module, comprises a regression model, a time sequence analysis and a machine learning algorithm, and can carry out training verification by using the historical data when the model establishment is completed so as to evaluate the algorithm prediction accuracy.
7. The control system of an energy efficient machine room of claim 1, wherein: the algorithm optimization module predicts future energy consumption by using a trained and verified model, outputs a prediction result, wherein the prediction result comprises energy consumption trend and energy consumption fluctuation range information in a future period of time, and can optimize the algorithm according to the actual energy consumption trend and energy consumption value.
8. The control system of an energy efficient machine room of claim 1, wherein: the data processing module mainly comprises a filter and a signal amplifier, and is capable of filtering and amplifying each group of received sensor signals, and outputting the signals to the chart generating module after the signal processing is completed, wherein the chart generating module is used for marking the received digital signals into charts, generating a temperature-time line chart, a humidity-time line chart and an air flow rate-time line chart in a line chart mode, and enabling the generated chart to display a value control terminal for an operator to review, and the data storage module is used for storing charts generated in the chart generating module and the signals received by the charts and enabling feedback information of the sensors to be traced back for a long time.
9. The control system of an energy efficient machine room of claim 1, wherein: the data cleaning module is used for removing received specific signals, including missing values, abnormal values and repeated data in signal transmission, and performing data standardization to ensure the quality and consistency of the data, the data analysis module is used for finding out patterns and associations hidden in the data in a mode including statistical analysis, machine learning and deep learning, integrating data analysis results after analysis and calculation, providing a decision model and decision making, and the report generation module is used for reporting and generating related decisions made in the data analysis module and performing standardization processing on planned distribution typesetting in the report.
10. The control system of an energy efficient machine room of claim 1, wherein: the information receiving module is used for receiving the abnormal alarm signals transmitted in the front-end energy monitoring module and the monitoring sensing module, and can position the abnormal state according to the device port number of the uploaded alarm signals, the alarm grading module is used for classifying abnormal grades according to the abnormal signal values transmitted by the devices, and dividing the abnormal states into three grades of abnormal, emergency abnormal and serious abnormal according to the number of the devices and the alarm values which are simultaneously used for alarming, aiming at different abnormal conditions, the alarm grading module can send the abnormal alarm signals to machine room managers of different grades, and report the positions of the abnormal devices at the same time, and the alarm feedback module is used for generating an overhaul report according to the abnormal fault information after the abnormal information of the devices is eliminated, and sending the overhaul report to the corresponding operation and maintenance manager for filling records.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311395383.2A CN117590758A (en) | 2023-10-26 | 2023-10-26 | Control system of high-efficiency energy-saving machine room |
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