CN116950882A - Remote management system of digital energy air compression station - Google Patents
Remote management system of digital energy air compression station Download PDFInfo
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- CN116950882A CN116950882A CN202310908970.0A CN202310908970A CN116950882A CN 116950882 A CN116950882 A CN 116950882A CN 202310908970 A CN202310908970 A CN 202310908970A CN 116950882 A CN116950882 A CN 116950882A
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- 238000007906 compression Methods 0.000 title claims abstract description 169
- 230000006835 compression Effects 0.000 title claims abstract description 169
- 238000011156 evaluation Methods 0.000 claims abstract description 60
- 238000012544 monitoring process Methods 0.000 claims abstract description 45
- 238000001514 detection method Methods 0.000 claims abstract description 44
- 238000005457 optimization Methods 0.000 claims abstract description 42
- 238000000034 method Methods 0.000 claims abstract description 32
- 230000000694 effects Effects 0.000 claims abstract description 29
- 238000007726 management method Methods 0.000 claims description 36
- 238000012545 processing Methods 0.000 claims description 21
- 238000004891 communication Methods 0.000 claims description 19
- 238000005265 energy consumption Methods 0.000 claims description 19
- 238000003745 diagnosis Methods 0.000 claims description 16
- 238000012423 maintenance Methods 0.000 claims description 15
- 238000012795 verification Methods 0.000 claims description 14
- 238000004458 analytical method Methods 0.000 claims description 13
- 230000006872 improvement Effects 0.000 claims description 10
- 238000004140 cleaning Methods 0.000 claims description 9
- 230000002159 abnormal effect Effects 0.000 claims description 8
- 238000003860 storage Methods 0.000 claims description 5
- 230000006399 behavior Effects 0.000 claims description 4
- 238000013524 data verification Methods 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 208000015181 infectious disease Diseases 0.000 claims description 3
- 230000007246 mechanism Effects 0.000 claims description 3
- 230000003612 virological effect Effects 0.000 claims description 3
- 230000008569 process Effects 0.000 abstract description 14
- 239000003921 oil Substances 0.000 description 6
- 238000010586 diagram Methods 0.000 description 5
- 239000010687 lubricating oil Substances 0.000 description 5
- 230000005540 biological transmission Effects 0.000 description 4
- 230000001276 controlling effect Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000001105 regulatory effect Effects 0.000 description 3
- 238000004146 energy storage Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 230000001050 lubricating effect Effects 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
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- 238000012806 monitoring device Methods 0.000 description 1
- 238000013486 operation strategy Methods 0.000 description 1
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
- F04B51/00—Testing machines, pumps, or pumping installations
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
- F04B37/00—Pumps having pertinent characteristics not provided for in, or of interest apart from, groups F04B25/00 - F04B35/00
- F04B37/10—Pumps having pertinent characteristics not provided for in, or of interest apart from, groups F04B25/00 - F04B35/00 for special use
- F04B37/12—Pumps having pertinent characteristics not provided for in, or of interest apart from, groups F04B25/00 - F04B35/00 for special use to obtain high pressure
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Abstract
The application discloses a remote management system of a digital energy air compression station, and relates to the technical field of remote management. The system comprises a real-time monitoring module for monitoring and recording various parameters of the air compression station, a remote control module for remotely controlling the operation and the scheduling of the air compression station, a safety protection module for carrying out safety protection on the remote control of the air compression station, an evaluation optimization module for carrying out fault detection and energy efficiency evaluation on the air compression station, and a record tracking module for tracking and recording the activities and events of the remote control. According to the application, the operation and the scheduling of the air compression station are remotely controlled and safely protected by monitoring and recording various parameters of the air compression station in real time, so that the air compression station is prevented from being attacked by network security in the remote control process; the air compression station is timely maintained and optimized through fault detection and energy efficiency evaluation, so that the operation efficiency is improved, and intelligent energy management and optimization are realized on the basis of guaranteeing the remote management safety.
Description
Technical Field
The application belongs to the technical field of remote management, and particularly relates to a remote management system of a digital energy air compression station.
Background
The digital energy air compression station is a novel energy station based on a digital technology and an energy storage technology and formed by combining the air compression station with digital energy, and the digital energy air compression station combines air compression and energy storage, so that the efficient utilization and flexible scheduling of energy can be realized. Because the digital energy air compression station relies on the Internet and the Internet of things technology, real-time remote monitoring is needed in the use process, and energy loss and potential safety hazards caused by running problems or untimely maintenance are avoided; in addition, the digital energy air compression station also has risks of network security attack and the like in the use process, so how to effectively carry out remote management and timely maintenance on the digital energy air compression station, thereby improving the operation efficiency and ensuring the security of remote management is a problem to be solved urgently.
Disclosure of Invention
The application aims to provide a remote management system of a digital energy air compression station, which ensures the safety of the air compression station in the remote management process by monitoring the air compression station in real time and performing safety protection on remote control; the air compression station is used for fault detection and energy efficiency evaluation, so that the air compression station is maintained and optimized in time, the operation efficiency is improved, and intelligent energy management and optimization are realized on the basis of guaranteeing the safety of remote management.
The aim of the application can be achieved by the following technical scheme:
the embodiment of the application provides a remote management system of a digital energy air compression station, which comprises a real-time monitoring module, a remote control module, a safety protection module and an evaluation optimization module which are sequentially connected in a communication mode;
the real-time monitoring module is used for monitoring and recording various parameters of the air compression station in real time, acquiring parameter data and transmitting the parameter data to the remote control module;
the remote control module is used for remotely controlling the operation and the scheduling of the air compression station according to the parameter data;
the safety protection module is used for carrying out safety protection on remote control of the air compression station;
the evaluation optimization module is used for carrying out fault detection and energy efficiency evaluation on the air compression station and obtaining fault diagnosis information and energy efficiency evaluation results; and the system is also used for analyzing the fault diagnosis information, updating and maintaining the air compression station, analyzing the energy efficiency evaluation result and optimizing and improving the air compression station.
Preferably, in the real-time monitoring module, each item of parameter data of the air compression station is collected through a sensor and monitoring equipment; the parameter data includes one or more of pressure, temperature, humidity, gas flow, noise level, vibration amplitude, and energy consumption.
Preferably, the remote control module comprises a remote access unit, and an operation switching unit, a parameter adjusting unit and a cooperative scheduling unit which are respectively connected with the remote access unit in a communication way;
the remote access unit is used for establishing network connection with the air compression station and performing access verification and connection detection;
the operation switching unit is used for starting/stopping the air compression station equipment through a remote interface and switching an operation mode;
the parameter adjusting unit is used for remotely adjusting/modifying the working parameters of the air compression station equipment;
the cooperative scheduling unit is used for performing cooperative scheduling on the air compression station equipment and dynamically distributing the workload of the air compression station equipment;
the operation modes include manual control, automatic control and timing control.
Preferably, the safety protection module comprises a safety evaluation unit, a data detection unit and a protection execution unit;
the safety evaluation unit and the data detection unit are respectively connected with the protection execution unit in a communication way;
the safety evaluation unit is used for detecting and grading the safety state of the air compression station, and if the safety risk exists, the risk grade is classified according to the safety risk;
the data detection unit is used for carrying out integrity detection on the parameter data, and if the parameter data is incomplete, incomplete data is sent to the protection execution unit;
the protection execution unit is used for setting access rights and/or protection levels according to the risk levels; the method is also used for carrying out integrity processing on the incomplete data to obtain processed data and backing up the complete data; and the method is also used for verifying the accuracy of the processing data.
Preferably, in the security assessment unit, the risk level includes a primary risk, a secondary risk, and a tertiary risk; wherein the primary risk is a viral and/or malware infection; the secondary risk is hacking and/or identity theft; the three-level risk is data leakage and/or data tampering.
Preferably, in the protection execution unit, the setting of the access right and/or the protection level according to the risk level includes the following steps:
if the risk level is a first-level risk, setting a first-level protection for the air compression station;
the primary protection includes: establishing an independent network area for the air compression station and limiting network access and communication; setting a firewall and an intrusion detection system at the boundary of the network, and monitoring and filtering network traffic;
if the risk level is a secondary risk, setting secondary protection for the air compression station;
the secondary guard includes: establishing an access control mechanism to limit remote access of unauthorized users; access restriction is performed by using authentication, strong password policy, and two-factor authentication;
if the risk level is three-level risk, setting three-level protection for the air compression station;
the three-stage protection comprises data encryption and real-time tracking of the data of the air compression station.
Preferably, in the guard execution unit, the integrity processing of the incomplete data includes data cleansing and data interpolation; the data cleaning comprises filling in missing values, deleting abnormal values and repairing error values; the data interpolation is to fill in missing values using interpolation methods including mean interpolation, regression interpolation and interpolation.
Preferably, in the guard execution unit, the verification of the accuracy of the processing data includes the steps of:
comparing the processed data with the original data; the data comparison comprises field level comparison, record level comparison or overall data set level comparison;
extracting a sample from the processed data for data verification; the drawing of samples includes random or planned;
performing rationality check and correctness analysis on the processed data;
cross-verifying the processing data to obtain a verification result, and comparing the consistency of the verification result and the processing data to obtain a comparison result;
and correcting the processing data according to the comparison result.
Preferably, the evaluation optimization module comprises a fault detection unit, an energy efficiency evaluation unit and an analysis optimization unit;
the fault detection unit and the energy efficiency evaluation unit are respectively in communication connection with the analysis optimization unit;
the fault detection unit is used for carrying out fault detection on a plurality of devices of the air compression station and acquiring the fault diagnosis information;
the energy efficiency evaluation unit is used for evaluating the energy efficiency of the air compression station according to the energy consumption and the performance index of the air compression station and obtaining the energy efficiency evaluation result;
the analysis optimizing unit is used for updating and maintaining the air compression station according to the fault diagnosis information; the air compression station is also used for optimizing and improving the air compression station according to the energy efficiency evaluation result;
the update maintenance includes one or more of equipment update, system upgrade, equipment cleaning, component replacement, and line maintenance;
the optimization improvements include one or more of pressure optimization, energy consumption optimization, gas treatment equipment improvement, pipeline improvement, and gas storage system optimization.
Preferably, the system further comprises a record tracking module in communicative connection with the safety protection module for tracking and recording the remotely controlled activities and events;
the record tracking module comprises a log record unit and a tracking and tracing unit which are in communication connection;
the log recording unit is used for recording information data of each module and establishing an information log;
the tracking and tracing unit is used for tracking potential danger and/or potential problems according to the information log; the system is also used for tracing the historical data and the historical activities;
the historical data and the historical activity are distinguished from current data and current activity;
the historical activity includes several operations and/or behaviors of the modules.
The beneficial effects of the application are as follows:
(1) According to the application, through monitoring and recording various parameters of the air compression station in real time, the operation and the scheduling of the digital energy air compression station are remotely controlled, and the remote control is safely protected, so that the digital energy air compression station is prevented from being attacked by network security in the remote control process; and the digital energy air compression station is timely maintained and optimized by carrying out fault detection and energy efficiency evaluation on the digital energy air compression station, so that the operation efficiency is improved, and further, the intelligent energy management and optimization are realized on the basis of guaranteeing the remote management safety.
(2) According to the application, each parameter of the air compression station is monitored and recorded in real time through the real-time monitoring module, and the intelligent management of the air compression station is realized by timely observing the state discovery problem of the air compression station and taking corresponding solving measures, so that the operation efficiency of the air compression station is improved.
(3) The device/system of the air compression station is remotely controlled through the remote control module, and access verification and connection detection are carried out through the remote access unit, so that the safety and the legality of the remote control are ensured; the operation mode of the air compression station is switched by the operation switching unit, and the working parameters of the air compression station equipment are remotely adjusted/modified by the parameter adjusting unit, so that the operation flexibility of the air compression station is improved; and the work load of the air compression station equipment is dynamically distributed through the cooperative scheduling unit, so that the operation efficiency of the air compression station is further improved.
(4) The safety protection module guarantees the safety in the remote control process; the air compression station is subjected to security assessment and risk grade division, and access authority and protection grade are set, so that the air compression station is subjected to different security protection according to different grades; the reliability and the completeness of data transmission are ensured by detecting the completeness of the parameters, verifying the accuracy and backing up the complete data; and the reliability, the integrity and the accuracy of data transmission are greatly improved on the basis of ensuring the safety of the data in the air compression station.
(5) According to the application, the fault detection and the energy efficiency evaluation are carried out on the air compression station through the evaluation optimization module, the fault diagnosis information is used for helping operators to rapidly locate and solve the problems, and the air compression station is remotely maintained and upgraded, so that the time and the cost required by manual inspection and maintenance are reduced; the energy efficiency evaluation result helps operators to know the energy consumption condition, the efficiency level and the potential optimization point, so that the air compression station is correspondingly improved and optimized based on the optimization point, and the operation efficiency and the energy saving effect of the air compression station are improved.
(6) The application tracks and records all remote control activities and events through the record tracking module, so that operators can timely find potential safety problems and trace and survey improper operations, thereby effectively protecting the safety of the remote management system.
Drawings
For a better understanding and implementation, the technical solution of the present application is described in detail below with reference to the accompanying drawings.
Fig. 1 is a schematic structural diagram of a remote management system of a digital energy air compression station according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a remote control module according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a safety protection module according to an embodiment of the present application;
FIG. 4 is a schematic structural diagram of an evaluation optimization module according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a record tracking module according to an embodiment of the present application.
Detailed Description
For further explanation of the technical means and effects adopted by the present application for achieving the intended purpose, exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the application. Rather, they are merely examples of methods and systems that are consistent with aspects of the application as detailed in the accompanying claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this specification and the appended claims, the singular forms "a," "an," "the," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to any or all possible combinations including one or more of the associated listed items.
The following detailed description of specific embodiments, features and effects according to the present application is provided with reference to the accompanying drawings and preferred embodiments.
Referring to fig. 1, an embodiment of the present application provides a remote management system for a digital energy air compression station, including a real-time monitoring module, a remote control module, a safety protection module and an evaluation optimization module that are sequentially connected in a communication manner; the system also comprises a record tracking module which is in communication connection with the safety protection module;
the real-time monitoring module is used for monitoring and recording various parameters of the air compression station in real time, acquiring parameter data and transmitting the parameter data to the remote control module;
the remote control module is used for remotely controlling the operation and the scheduling of the air compression station according to the parameter data;
the safety protection module is used for carrying out safety protection on remote control of the air compression station;
the evaluation optimization module is used for carrying out fault detection and energy efficiency evaluation on the air compression station and obtaining fault diagnosis information and energy efficiency evaluation results; the system is also used for analyzing the fault diagnosis information, updating and maintaining the air compression station, analyzing the energy efficiency evaluation result and optimizing and improving the air compression station;
the record tracking module is used for tracking and recording the remote control activities and events.
Specifically, the remote management system of the digital energy air compression station provided by the application firstly monitors and records various parameters of the air compression station in real time so as to acquire parameter data, and transmits the parameter data to a remote control module; the remote control module is used for remotely controlling the operation and the scheduling of the air compression station according to the parameter data, and the digital energy air compression station has flexibility and schedulability, so that the intelligent management and the scheduling of energy can be realized according to the size and the time change of energy demands; for example, during periods of low energy demand, excess electrical energy may be used to compress air for storage; in the peak period of energy demand, the stored compressed air can be released to meet the energy demand; the flexible energy scheduling mode can improve the energy utilization rate, balance the energy supply and demand and reduce the energy waste; the safety protection module can carry out safety protection on the remote control of the air compression station immediately, so that the influence of network safety in the remote control process is prevented; then, the evaluation optimization module performs fault detection and energy efficiency evaluation on the air compression station, obtains a fault diagnosis report and an energy efficiency evaluation result in a decibel mode, updates and maintains the air compression station by analyzing fault diagnosis information, and optimizes and improves the air compression station by the energy efficiency evaluation result, so that the air compression station always maintains good operation efficiency; finally, the record and tracking module is used for recording and tracking the activities and events in the remote control process in real time, so that operators can be helped to find potential safety problems, and improper operations can be traced and investigated.
According to the application, through monitoring and recording various parameters of the air compression station in real time, the operation and the scheduling of the digital energy air compression station are remotely controlled, and the remote control is safely protected, so that the digital energy air compression station is prevented from being attacked by network security in the remote control process; and the digital energy air compression station is timely maintained and optimized by carrying out fault detection and energy efficiency evaluation on the digital energy air compression station, so that the operation efficiency is improved, and further, the intelligent energy management and optimization are realized on the basis of guaranteeing the remote management safety.
In one embodiment provided by the application, in the real-time monitoring module, each item of parameter data of the air compression station is collected through a sensor and monitoring equipment; the parameter data includes one or more of pressure, temperature, humidity, gas flow, noise level, vibration amplitude, and energy consumption.
Specifically, the sensors in the present embodiment include, but are not limited to, pressure sensors, temperature sensors, humidity sensors, gas flow sensors, sound sensors, and vibration sensors, and the monitoring devices include, but are not limited to, devices such as an electric energy meter, a gas flow meter, and the like; in this real-time monitoring module, the monitoring includes the following aspects:
pressure monitoring: pressure parameters of the air compressor and the air storage tank are monitored in real time through the sensor, so that the air inlet pressure, the air outlet pressure, the system stability and the like can be monitored, and the pressure is ensured to run in a safe range.
And (3) temperature monitoring: the temperature sensor is used for monitoring the temperature of each key component of the air compressor, such as the compressor, the cooler, the oil temperature and the like, so that whether the temperature is too high or too low can be monitored in real time, problems can be found in time, and damage caused by overheat or overcooling of equipment can be avoided.
And (3) energy consumption monitoring: the energy consumption condition of the air compressor is monitored in real time through the electric energy meter, the gas flowmeter and other devices, the energy consumption level in different states can be analyzed and compared, the operation strategy is helped to be optimized, and the energy consumption is saved.
And (3) monitoring equipment states: the method comprises the steps of monitoring the running state, the fault state, the maintenance state and the like of the air compressor, monitoring the working state of equipment in real time through a sensor and an equipment interface, finding out abnormality and faults in time, and improving the reliability and the stability of the equipment.
And (3) monitoring lubricating oil: through the lubricating oil sensor, parameters such as oil level, temperature and quality of air compressor lubricating oil are monitored, the oil state can be monitored in real time, the problems such as oil pollution and leakage are detected in time, and the normal operation of a lubricating system is ensured.
Sound and vibration monitoring: through sound sensor and vibration sensor, the sound and the vibration condition of monitoring air compressor machine can real-time supervision equipment's noise level and vibration amplitude, in time discovers abnormal conditions, prevents the trouble emergence.
The method for collecting various parameter data of the air compression station through the sensor and the monitoring equipment specifically comprises the following steps:
pressure parameters: including parameters such as inlet pressure, outlet pressure, system stability, etc.
Temperature parameters: including the temperature of the various critical components of the air compressor, such as the parameters of the compressor, cooler, oil temperature, etc.
Flow parameters: including monitoring of gas flow, can be used to analyze energy consumption and system operating efficiency.
Electric energy parameters: including monitoring of electrical energy consumption, can be used to evaluate energy utilization and to conduct energy consumption analysis.
Parameters of lubricating oil: the system comprises parameters such as oil level, temperature and quality of lubricating oil, and is used for monitoring the working state of a lubricating system and carrying out maintenance management.
Noise and vibration parameters: the method comprises the steps of judging the normal running state of equipment and identifying abnormal conditions, wherein the noise level and the vibration amplitude of the air compressor are included.
Maintenance and fault parameters: the system comprises information such as the running state of equipment, fault alarm, maintenance record and the like, and is used for timely finding problems and carrying out maintenance management.
By monitoring the parameters in real time, the remote management system can acquire the operation data of the air compression station in time and analyze and process the operation data. Operators can check the data through a remote interface, judge the running condition of the air compression station in time, find problems and take corresponding measures, and improve the running efficiency and reliability of the air compression station.
According to the application, each parameter of the air compression station is monitored and recorded in real time through the real-time monitoring module, and the intelligent management of the air compression station is realized by timely observing the state discovery problem of the air compression station and taking corresponding solving measures, so that the operation efficiency of the air compression station is improved.
Referring to fig. 2, in one embodiment of the present application, the remote control module includes a remote access unit, and an operation switching unit, a parameter adjusting unit, and a co-scheduling unit that are respectively connected with the remote access unit in a communication manner;
the remote access unit is used for establishing network connection with the air compression station and performing access verification and connection detection;
the operation switching unit is used for starting/stopping the air compression station equipment through a remote interface and switching an operation mode;
the parameter adjusting unit is used for remotely adjusting/modifying the working parameters of the air compression station equipment;
the cooperative scheduling unit is used for performing cooperative scheduling on the air compression station equipment and dynamically distributing the workload of the air compression station equipment;
the operation modes include manual control, automatic control and timing control.
Specifically, in the remote control module, firstly, a network connection between the remote management system and the air compression station is established through the remote access unit, and then access verification and connection detection are performed, so that the network is ensured to be safe and reliable in the process of establishing the network connection, and the identity of a visitor can be ensured to be legal; the air compression station equipment is started/stopped remotely by the operation switching unit, so that the on-off state of the air compressor is controlled flexibly, and unnecessary energy consumption is avoided; the operation mode of the air compressor can be remotely adjusted by operators, such as manual control, automatic control or timing control, and the proper operation mode is flexibly selected according to the production requirements or the energy utilization conditions so as to achieve the best effect and the energy saving aim; the outlet pressure and the flow of the air compressor can be regulated through the parameter regulating unit, and the air compressor can be accurately regulated according to the production process requirements, so that the pressure and the flow are ensured to be stable within a preset range; the working parameters of the air compressor, such as start-stop pressure, load pressure, unloading pressure and the like, can be remotely modified, and the parameters are adjusted according to the actual running conditions, so that the air compressor can run more stably and efficiently; the air compressors can be cooperatively scheduled through the cooperative scheduling unit, the working load of the air compressors is dynamically distributed according to the load requirement and the energy optimization target, so that the work of each air compressor is reasonably divided, and the overall efficiency is improved.
The device/system of the air compression station is remotely controlled through the remote control module, and access verification and connection detection are carried out through the remote access unit, so that the safety and the legality of the remote control are ensured; the operation mode of the air compression station is switched by the operation switching unit, and the working parameters of the air compression station equipment are remotely adjusted/modified by the parameter adjusting unit, so that the operation flexibility of the air compression station is improved; and the work load of the air compression station equipment is dynamically distributed through the cooperative scheduling unit, so that the operation efficiency of the air compression station is further improved.
Referring to fig. 3, in one embodiment of the present application, the security protection module includes a security evaluation unit, a data detection unit, and a protection execution unit;
the safety evaluation unit and the data detection unit are respectively connected with the protection execution unit in a communication way;
the safety evaluation unit is used for detecting and grading the safety state of the air compression station, and if the safety risk exists, the risk grade is classified according to the safety risk;
the data detection unit is used for carrying out integrity detection on the parameter data, and if the parameter data is incomplete, incomplete data is sent to the protection execution unit;
the protection execution unit is used for setting access rights and/or protection levels according to the risk levels; the method is also used for carrying out integrity processing on the incomplete data to obtain processed data and backing up the complete data; and the method is also used for verifying the accuracy of the processing data.
Further, in the security assessment unit, the risk level includes a primary risk, a secondary risk, and a tertiary risk; wherein the primary risk is a viral and/or malware infection; the secondary risk is hacking and/or identity theft; the three-level risk is data leakage and/or data tampering.
Further, in the guard execution unit, the setting of the access right and/or the guard level according to the risk level includes the following steps:
if the risk level is a first-level risk, setting a first-level protection for the air compression station;
the primary protection includes: establishing an independent network area for the air compression station and limiting network access and communication; setting a firewall and an intrusion detection system at the boundary of the network, and monitoring and filtering network traffic;
if the risk level is a secondary risk, setting secondary protection for the air compression station;
the secondary guard includes: establishing an access control mechanism to limit remote access of unauthorized users; access restriction is performed by using authentication, strong password policy, and two-factor authentication;
if the risk level is three-level risk, setting three-level protection for the air compression station;
the three-stage protection comprises data encryption and real-time tracking of the data of the air compression station.
Further, in the guard execution unit, the integrity processing of the incomplete data includes data cleansing and data interpolation; the data cleaning comprises filling in missing values, deleting abnormal values and repairing error values; the data interpolation is to fill in missing values using interpolation methods including mean interpolation, regression interpolation and interpolation.
Specifically, the data cleaning is to perform cleaning operations on data with missing values, abnormal values or error values, including filling the missing values, deleting the abnormal values, repairing the error values, etc., so as to ensure the integrity and accuracy of the data; in the case of some data missing, the missing values may be filled in by interpolation methods, and common interpolation methods include mean interpolation, regression interpolation, interpolation method, and the like.
Further, in the protection execution unit, the accuracy of the processed data is verified, so that the processed data quality is ensured to be reliable, and the method comprises the following steps:
s1, comparing the processed data with original data; the data comparison comprises field level comparison, record level comparison or overall data set level comparison;
s2, extracting a sample from the processed data to perform data verification; the drawing of samples includes random or planned;
s3, performing rationality check and correctness analysis on the processed data;
s4, cross-verifying the processing data to obtain a verification result, and comparing the consistency of the verification result and the processing data to obtain a comparison result;
s5, correcting the processing data according to the comparison result.
The safety protection module guarantees the safety in the remote control process; the air compression station is subjected to security assessment and risk grade division, and access authority and protection grade are set, so that the air compression station is subjected to different security protection according to different grades; the reliability and the completeness of data transmission are ensured by detecting the completeness of the parameters, verifying the accuracy and backing up the complete data; and the reliability, the integrity and the accuracy of data transmission are greatly improved on the basis of ensuring the safety of the data in the air compression station.
Referring to fig. 4, in one embodiment provided by the present application, the evaluation optimization module includes a fault detection unit, an energy efficiency evaluation unit, and an analysis optimization unit;
the fault detection unit and the energy efficiency evaluation unit are respectively in communication connection with the analysis optimization unit;
the fault detection unit is used for carrying out fault detection on a plurality of devices of the air compression station and acquiring the fault diagnosis information;
the energy efficiency evaluation unit is used for evaluating the energy efficiency of the air compression station according to the energy consumption and the performance index of the air compression station and obtaining the energy efficiency evaluation result;
the analysis optimizing unit is used for updating and maintaining the air compression station according to the fault diagnosis information; the air compression station is also used for optimizing and improving the air compression station according to the energy efficiency evaluation result;
the update maintenance includes one or more of equipment update, system upgrade, equipment cleaning, component replacement, and line maintenance;
the optimization improvements include one or more of pressure optimization, energy consumption optimization, gas treatment equipment improvement, pipeline improvement, and gas storage system optimization.
According to the application, the fault detection and the energy efficiency evaluation are carried out on the air compression station through the evaluation optimization module, the fault diagnosis information is used for helping operators to rapidly locate and solve the problems, and the air compression station is remotely maintained and upgraded, so that the time and the cost required by manual inspection and maintenance are reduced; the energy efficiency evaluation result helps operators to know the energy consumption condition, the efficiency level and potential optimization points, so that corresponding improvement and optimization are carried out on the air compression station based on the optimization points, and the operation efficiency and the energy saving effect of the air compression station are improved; the energy utilization efficiency of the air compression station can be improved through updating, maintaining and optimizing, the operation cost is reduced, and the air supply quality and reliability are improved.
Referring to fig. 5, in one embodiment of the present application, the record tracking module includes a log record unit and a tracking trace unit that are communicatively connected;
the log recording unit is used for recording information data of each module and establishing an information log;
the tracking and tracing unit is used for tracking potential danger and/or potential problems according to the information log; the system is also used for tracing the historical data and the historical activities;
the historical data and the historical activity are distinguished from current data and current activity;
the historical activity includes several operations and/or behaviors of the modules.
Specifically, the record tracking module establishes information logs by tracking and recording all remote control activities and events, including but not limited to login time, operational behavior, abnormal events, etc., which can be used for monitoring and auditing; and potential hazards and/or potential problems can be tracked to help discover potential safety problems; historical data and historical activities can also be traced back and investigation for improper operation. Whereas the above-mentioned historical data represents data prior to the current point in time, the current activity also refers to activity prior to the current point in time, in this embodiment the historical activity includes, but is not limited to, various operations of the modules.
The application tracks and records all remote control activities and events through the record tracking module, so that operators can timely find potential safety problems and trace and survey improper operations, thereby effectively protecting the safety of the remote management system.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the system is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, the specific names of the functional units and modules are only for distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
The present application is not limited to the above embodiments, but is capable of modification and variation in detail, and other modifications and variations can be made by those skilled in the art without departing from the scope of the present application.
Claims (10)
1. The utility model provides a remote management system of digital energy air compression station which characterized in that: the system comprises a real-time monitoring module, a remote control module, a safety protection module and an evaluation optimization module which are sequentially connected in a communication way;
the real-time monitoring module is used for monitoring and recording various parameters of the air compression station in real time, acquiring parameter data and transmitting the parameter data to the remote control module;
the remote control module is used for remotely controlling the operation and the scheduling of the air compression station according to the parameter data;
the safety protection module is used for carrying out safety protection on remote control of the air compression station;
the evaluation optimization module is used for carrying out fault detection and energy efficiency evaluation on the air compression station and obtaining fault diagnosis information and energy efficiency evaluation results; and the system is also used for analyzing the fault diagnosis information, updating and maintaining the air compression station, analyzing the energy efficiency evaluation result and optimizing and improving the air compression station.
2. A remote management system for a digital energy air compression station as defined in claim 1, wherein: in the real-time monitoring module, collecting various parameter data of the air compression station through a sensor and monitoring equipment; the parameter data includes one or more of pressure, temperature, humidity, gas flow, noise level, vibration amplitude, and energy consumption.
3. A remote management system for a digital energy air compression station as defined in claim 1, wherein: the remote control module comprises a remote access unit, an operation switching unit, a parameter adjusting unit and a cooperative scheduling unit which are respectively in communication connection with the remote access unit;
the remote access unit is used for establishing network connection with the air compression station and performing access verification and connection detection;
the operation switching unit is used for starting/stopping the air compression station equipment through a remote interface and switching an operation mode;
the parameter adjusting unit is used for remotely adjusting/modifying the working parameters of the air compression station equipment;
the cooperative scheduling unit is used for performing cooperative scheduling on the air compression station equipment and dynamically distributing the workload of the air compression station equipment;
the operation modes include manual control, automatic control and timing control.
4. A remote management system for a digital energy air compression station as defined in claim 1, wherein: the safety protection module comprises a safety evaluation unit, a data detection unit and a protection execution unit;
the safety evaluation unit and the data detection unit are respectively connected with the protection execution unit in a communication way;
the safety evaluation unit is used for detecting and grading the safety state of the air compression station, and if the safety risk exists, the risk grade is classified according to the safety risk;
the data detection unit is used for carrying out integrity detection on the parameter data, and if the parameter data is incomplete, incomplete data is sent to the protection execution unit;
the protection execution unit is used for setting access rights and/or protection levels according to the risk levels; the method is also used for carrying out integrity processing on the incomplete data to obtain processed data and backing up the complete data; and the method is also used for verifying the accuracy of the processing data.
5. The remote management system of a digital energy air compression station of claim 4, wherein: in the safety evaluation unit, the risk level comprises a primary risk, a secondary risk and a tertiary risk; wherein the primary risk is a viral and/or malware infection; the secondary risk is hacking and/or identity theft; the three-level risk is data leakage and/or data tampering.
6. The remote management system of a digital energy air compression station of claim 5, wherein: in the protection execution unit, the setting of the access authority and/or the protection level according to the risk level comprises the following steps:
if the risk level is a first-level risk, setting a first-level protection for the air compression station;
the primary protection includes: establishing an independent network area for the air compression station and limiting network access and communication; setting a firewall and an intrusion detection system at the boundary of the network, and monitoring and filtering network traffic;
if the risk level is a secondary risk, setting secondary protection for the air compression station;
the secondary guard includes: establishing an access control mechanism to limit remote access of unauthorized users; access restriction is performed by using authentication, strong password policy, and two-factor authentication;
if the risk level is three-level risk, setting three-level protection for the air compression station;
the three-stage protection comprises data encryption and real-time tracking of the data of the air compression station.
7. The remote management system of a digital energy air compression station of claim 6, wherein: in the protection execution unit, the integrity processing of the incomplete data comprises data cleaning and data interpolation; the data cleaning comprises filling in missing values, deleting abnormal values and repairing error values; the data interpolation is to fill in missing values using interpolation methods including mean interpolation, regression interpolation and interpolation.
8. The remote management system of a digital energy air compression station of claim 7, wherein: in the guard execution unit, the accuracy verification of the processing data includes the following steps:
comparing the processed data with the original data; the data comparison comprises field level comparison, record level comparison or overall data set level comparison;
extracting a sample from the processed data for data verification; the drawing of samples includes random or planned;
performing rationality check and correctness analysis on the processed data;
cross-verifying the processing data to obtain a verification result, and comparing the consistency of the verification result and the processing data to obtain a comparison result;
and correcting the processing data according to the comparison result.
9. A remote management system for a digital energy air compression station as defined in claim 1, wherein: the evaluation optimization module comprises a fault detection unit, an energy efficiency evaluation unit and an analysis optimization unit;
the fault detection unit and the energy efficiency evaluation unit are respectively in communication connection with the analysis optimization unit;
the fault detection unit is used for carrying out fault detection on a plurality of devices of the air compression station and acquiring the fault diagnosis information;
the energy efficiency evaluation unit is used for evaluating the energy efficiency of the air compression station according to the energy consumption and the performance index of the air compression station and obtaining the energy efficiency evaluation result;
the analysis optimizing unit is used for updating and maintaining the air compression station according to the fault diagnosis information; the air compression station is also used for optimizing and improving the air compression station according to the energy efficiency evaluation result;
the update maintenance includes one or more of equipment update, system upgrade, equipment cleaning, component replacement, and line maintenance;
the optimization improvements include one or more of pressure optimization, energy consumption optimization, gas treatment equipment improvement, pipeline improvement, and gas storage system optimization.
10. A remote management system for a digital energy air compression station as defined in claim 1, wherein: the system also comprises a record tracking module which is in communication connection with the safety protection module and is used for tracking and recording the activity and the event of the remote control;
the record tracking module comprises a log record unit and a tracking and tracing unit which are in communication connection;
the log recording unit is used for recording information data of each module and establishing an information log;
the tracking and tracing unit is used for tracking potential danger and/or potential problems according to the information log; the system is also used for tracing the historical data and the historical activities;
the historical data and the historical activity are distinguished from current data and current activity;
the historical activity includes several operations and/or behaviors of the modules.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117514727A (en) * | 2023-12-06 | 2024-02-06 | 广东鑫钻节能科技股份有限公司 | Digital energy air compression station |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117514727A (en) * | 2023-12-06 | 2024-02-06 | 广东鑫钻节能科技股份有限公司 | Digital energy air compression station |
| CN117514727B (en) * | 2023-12-06 | 2024-04-23 | 广东鑫钻节能科技股份有限公司 | Digital energy air compression station |
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