CN112344996A - Air compression station based on monitoring of Internet of things - Google Patents
Air compression station based on monitoring of Internet of things Download PDFInfo
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- G—PHYSICS
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- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—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]
- G05B19/4183—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] characterised by data acquisition, e.g. workpiece identification
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—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]
- G05B19/4185—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] characterised by the network communication
- G05B19/4186—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] characterised by the network communication by protocol, e.g. MAP, TOP
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract
The invention discloses an air compression station based on monitoring of the Internet of things, which is characterized in that an environment data set in the air compression station is collected through an environment data collection module and is transmitted to a data analysis module, wherein the environment data set comprises temperature data, harmonic data and working data; analyzing the working state information of a plurality of devices in the air compression station according to the environment data set through a data analysis module; the monitoring processing module is used for receiving the state information, monitoring the temperature and the harmonic wave state of a plurality of devices in the air compressor station during working, and controlling and adjusting the working of the plurality of devices in the air compressor station through the operation control module; the invention can solve the problems that the temperature in the air pressure station can not be monitored and adjusted in the existing scheme, so that heat can not be timely and accurately discharged to influence the normal work of equipment in the air pressure station, and the influence of harmonic waves generated when the equipment is switched on and switched off on the work of other equipment can not be eliminated.
Description
Technical Field
The invention relates to the technical field of Internet of things, in particular to an air compression station based on Internet of things monitoring.
Background
Compressed air is an important source of power and process air and has a wide range of applications in many industries. An air compressor (called an air compressor for short) is a key device for preparing compressed air. The air compressor is combined with a series of devices such as a freezing dryer, a filter, an air storage tank and the like, and compressed air meeting the quality requirement is provided for users. These gas-generating facilities are typically housed in one or more terminal rooms ("air station rooms") that provide compressed air to the utility through a centralized piping system. The integral design and the operation maintenance management of the air compression station house are important for improving the efficiency and the quality of compressed air preparation, reducing the preparation cost and saving energy of the compressed air, and the air compression station house is composed of an air compressor, an air storage tank (divided into a first-stage air storage tank and a second-stage air storage tank), air treatment and purification equipment and a cold dryer.
In patent "CN 207424641U centralized monitoring system of intelligent energy-conserving air compression station", including the PLC switch board, be provided with circuit breaker, switching power supply, PLC controller, remote communication module, contactor, thermorelay, auxiliary relay and stabiliser in the PLC switch board, the PLC controller is all connected to circuit breaker, switching power supply, remote communication module, contactor, thermorelay, auxiliary relay and stabiliser, and PLC controller and remote communication module all connect host computer server through DP or ethernet. The utility model discloses a PLC controller passes through the connection of communication mode, the operation at effectual control air compression station to and the energy-conserving real-time data of control, make things convenient for the operative employee to pass through the data real time monitoring on the host computer screen.
The existing air compression station has the following defects: the temperature in the air pressure station can not be monitored and adjusted, so that heat can not be timely and accurately discharged to further influence the normal work of equipment in the air pressure station, and the influence of harmonic waves generated when the equipment is switched on and off on the work of other equipment can not be eliminated.
Disclosure of Invention
The invention aims to provide an air compression station based on Internet of things monitoring, and the technical problems to be solved by the invention comprise that:
how to solve can not monitor and adjust the temperature in the air pressure station among the current scheme for the heat can not in time be accurate discharges and then influence the normal work of equipment in the air pressure station, and can not eliminate the harmonic that produces when equipment switch and to the influence of other equipment work.
The purpose of the invention can be realized by the following technical scheme: an air compression station based on Internet of things monitoring comprises an environmental data acquisition module, a data analysis module, a monitoring processing module, an operation control module and a data transmission module;
the environment data acquisition module is used for acquiring an environment data set in the air compression station and transmitting the environment data set to the data analysis module through the data transmission module, and the environment data set comprises temperature data, harmonic data and working data;
the data analysis module comprises a temperature analysis unit and a harmonic analysis unit and is used for analyzing the working state information of a plurality of devices in the air compression station according to an environment data set, and the specific analysis steps are as follows:
the method comprises the following steps: acquiring temperature data and working data in the environment data set;
step two: monitoring the temperature of a plurality of devices during working according to the temperature data through a temperature analysis unit, marking the temperature of the plurality of devices in the temperature data as an initial temperature, and acquiring the starting time of the plurality of devices in the working data;
step three: using formulas
Acquiring migration coefficients Qq of a plurality of devices during working; wherein Wi1 is represented as a monitored temperature, Wi0 is represented as an initial temperature, alpha is represented as a preset temperature migration correction factor, Ki is represented as the starting time of a plurality of devices, and Ji is represented as a monitored time;
step four: acquiring the working migration temperatures of a plurality of devices by using the initial temperature and the migration coefficient, and combining the plurality of migration temperatures to obtain a migration temperature set;
step five: acquiring harmonic data in the environmental data set;
step six: analyzing the voltage frequency of a plurality of devices during working according to the harmonic data through a harmonic analysis unit, and marking the voltage frequencies in the harmonic data as initial frequencies;
step seven: comparing the initial frequencies with a preset standard frequency threshold, and if the initial frequencies are equal to the standard frequency threshold, generating first frequency analysis data; if the initial frequency is not equal to the standard frequency threshold, generating second frequency analysis data; combining the first frequency analysis data and the second frequency analysis data to obtain a frequency analysis set;
step eight: arranging and combining the migration temperature set and the frequency analysis set to obtain state information, and sending the state information to a monitoring processing module through a data transmission module;
the data transmission module is used for transmitting data among the modules.
Preferably, the environmental data collection module is configured to collect an environmental data set in the air compression station, and includes the specific steps of:
s21: acquiring the length and the width of a plurality of devices in an air compression station, acquiring the floor area of the plurality of devices by using the length and the width, and setting the floor area as Si, i is 1, 2, 3 … n; acquiring distance values among a plurality of devices, and setting the distance values to be Ji, i is 1, 2 and 3 … n;
s22: obtaining a median value of the distance values, and averaging the distance values by using the median value to obtain a first distance score and a second distance score;
s23: expanding the lengths and the widths of the plurality of devices by using the first distance score and the second distance score to obtain expanded lengths and expanded widths, and acquiring monitoring areas of the plurality of devices by using the expanded lengths, the expanded widths and the heights of the spaces in the air compression station;
s24: acquiring the temperature of the monitoring areas, combining the temperatures of the monitoring areas to obtain temperature data, and setting Wi, i to 1, 2, 3 … n;
s25: acquiring voltage frequencies of a plurality of devices in the air compression station during operation, and setting the voltage frequencies to Pi, i to 1, 2 and 3 … n; combining the voltage frequencies of a plurality of monitoring areas to obtain harmonic data;
s26: the method comprises the steps of obtaining the starting time and the closing time of a plurality of devices in the air compression station, combining the starting times to obtain starting time data, and setting the starting time data to be Ki, wherein i is 1, 2 and 3 … n; combining a plurality of closing time to obtain closing time data, and setting the closing time data to Gi, i-1, 2, 3 … n;
s27: acquiring distribution time for supplying power to the air station, and combining the start time data, the close time data and the distribution time to obtain working data;
s28: and arranging and combining the temperature data, the harmonic data and the working data to obtain an environment data set.
Preferably, the monitoring processing module is configured to receive the state information and monitor the temperature and the harmonic state of the plurality of devices in the air station during operation, and the specific steps include:
s31: acquiring a migration temperature set in the state information;
s32: calculating a difference value between the migration temperature in the migration temperature set and a preset standard temperature threshold, and if the difference value is a negative number, generating a first temperature monitoring signal; if the difference value is zero, generating a second temperature monitoring signal; if the difference is a positive number, generating a third temperature monitoring signal;
s33: combining the first temperature monitoring signal, the second temperature monitoring signal and the third temperature monitoring signal to obtain a temperature monitoring set, and sending the temperature monitoring set to an operation control module through a data transmission module;
s34: acquiring a frequency analysis set and monitoring;
s35: and generating a first frequency monitoring signal by using the first frequency analysis data, generating a second frequency monitoring signal by using the second frequency analysis data, combining the first frequency monitoring signal and the second frequency monitoring signal to obtain a frequency monitoring set, and transmitting the frequency monitoring set to an operation control module through a data transmission module.
Preferably, the operation control module is used for controlling and adjusting the work of a plurality of devices in the air station; the method comprises the following specific steps:
s41: acquiring a temperature monitoring set, and regulating and controlling the temperature of a plurality of devices in the air compression station during working by using the temperature monitoring set; the method comprises the following steps:
SS 411: acquiring a first temperature monitoring signal in the temperature monitoring, acquiring a time difference of the temperature rise of the migration temperature to a preset standard temperature threshold by using the first temperature monitoring signal, and performing first-level temperature reduction processing on equipment corresponding to the migration temperature by using the time difference; the first-level temperature reduction treatment is to perform air exhaust temperature reduction at a preset first air exhaust rate;
and SS 412: acquiring a second temperature monitoring signal in the temperature monitoring, and performing second-level cooling processing on the equipment corresponding to the migration temperature by using the second temperature monitoring signal; the second-level temperature reduction treatment is to perform air exhaust temperature reduction at a preset second air exhaust rate;
SS 413: acquiring a third temperature monitoring signal in the temperature monitoring, and performing third-level temperature reduction treatment on the equipment corresponding to the migration temperature by using the third temperature monitoring signal; the third-level temperature reduction treatment is to perform air exhaust temperature reduction at a preset third air exhaust rate;
s42: acquiring a frequency monitoring set;
s43: acquiring a second frequency monitoring signal in the frequency monitoring set, and regulating and controlling power grid harmonic waves generated when a plurality of devices in the air station are turned on and turned off by using the second frequency monitoring signal; the method comprises the following steps:
SS 431: acquiring equipment which generates power grid harmonics and corresponds to second frequency analysis data according to the second frequency monitoring signal, and setting the equipment as influence equipment Yi, i being 1, 2, 3 … n;
SS 432: acquiring an on-time and an off-time of the influencing device, setting the on-time of the influencing device as a first influencing time YYi, i being 1, 2, 3 … n, and setting the off-time of the influencing device as a second influencing time YEi, i being 1, 2, 3 … n, respectively;
SS 433: regulating and setting the first influence time by using a preset regulation and control interval value to obtain first regulation and control opening time and first regulation and control closing time; regulating and setting a second influence time by using a preset regulation and control interval value to obtain a second regulation and control opening time and a second regulation and control closing time;
wherein the first regulated on-time is expressed as grid harmonic regulation before the influencing device is turned on; the first regulation and control closing time is expressed as ending the power grid harmonic regulation after the influence equipment is started; the second regulation on-time is expressed as grid harmonic regulation before the influencing equipment is turned off; the second regulation closing time is expressed as ending the power grid harmonic regulation after the influencing equipment is closed;
SS 434: and controlling the harmonic regulation and control equipment to be turned on by utilizing the first regulation and control turn-on time and the second regulation and control turn-off time, and controlling the harmonic regulation and control equipment to be turned off by utilizing the first regulation and control turn-off time and the second regulation and control turn-off time.
The invention has the beneficial effects that:
according to the invention, through the matched use of the environmental data acquisition module, the data analysis module, the monitoring processing module, the operation control module and the data transmission module, the temperature in the air pressure station can be monitored and adjusted, the influence of heat which cannot be timely and accurately discharged to influence the normal work of equipment in the air pressure station is eliminated, and the influence of harmonic waves generated when the equipment is switched on and switched off to the work of other equipment can be eliminated; the method comprises the steps that an environment data set in the air compression station is collected through an environment data collection module, the environment data set is transmitted to a data analysis module through a data transmission module, and the environment data set comprises temperature data, harmonic data and working data; the positions of different devices are divided, the obtained temperatures of working areas of the different devices and the switching time are monitored and analyzed, the devices in abnormal temperature areas are adjusted in time, and the monitoring effect on the air compressor station can be effectively improved;
according to the invention, the working state information of a plurality of devices in the air compression station is analyzed according to the environment data set through the temperature analysis unit and the harmonic analysis unit in the data analysis module; whether the temperature condition of the ambient environment of each device during working is within a standard range or not can be obtained through the temperature analysis unit, whether the harmonic wave generated when each device is switched on or off affects other devices or not can be obtained through the harmonic wave analysis unit, and then data support can be provided for subsequent regulation and control, so that the affected devices can be accurately regulated and controlled;
according to the invention, the monitoring processing module is used for receiving the state information, monitoring the temperature and the harmonic state of a plurality of devices in the air compressor station during working, controlling and adjusting the working of the plurality of devices in the air compressor station through the operation control module, adjusting different temperatures in different areas to different degrees, and adjusting and controlling the devices generating harmonic influence in a targeted manner, so that the monitoring effect can be effectively improved, and the purpose of quickly eliminating the influence can be achieved.
Drawings
The invention will be further described with reference to the accompanying drawings.
Fig. 1 is a block diagram of an air compressor station based on internet of things monitoring according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
Referring to fig. 1, the invention relates to an air compression station based on internet of things monitoring, which comprises an environmental data acquisition module, a data analysis module, a monitoring processing module, an operation control module and a data transmission module;
the environment data acquisition module is used for acquiring an environment data set in the air compression station and transmitting the environment data set to the data analysis module through the data transmission module, and the environment data set comprises temperature data, harmonic data and working data; the method comprises the following specific steps:
acquiring the length and the width of a plurality of devices in an air compression station, acquiring the floor area of the plurality of devices by using the length and the width, and setting the floor area as Si, i is 1, 2, 3 … n; acquiring distance values among a plurality of devices, and setting the distance values to be Ji, i is 1, 2 and 3 … n;
obtaining a median value of the distance values, and averaging the distance values by using the median value to obtain a first distance score and a second distance score;
expanding the lengths and the widths of the plurality of devices by using the first distance score and the second distance score to obtain expanded lengths and expanded widths, and acquiring monitoring areas of the plurality of devices by using the expanded lengths, the expanded widths and the heights of the spaces in the air compression station;
acquiring the temperature of the monitoring areas, combining the temperatures of the monitoring areas to obtain temperature data, and setting Wi, i to 1, 2, 3 … n;
acquiring voltage frequencies of a plurality of devices in the air compression station during operation, and setting the voltage frequencies to Pi, i to 1, 2 and 3 … n; combining the voltage frequencies of a plurality of monitoring areas to obtain harmonic data;
the method comprises the steps of obtaining the starting time and the closing time of a plurality of devices in the air compression station, combining the starting times to obtain starting time data, and setting the starting time data to be Ki, wherein i is 1, 2 and 3 … n; combining a plurality of closing time to obtain closing time data, and setting the closing time data to Gi, i-1, 2, 3 … n;
acquiring distribution time for supplying power to the air station, and combining the start time data, the close time data and the distribution time to obtain working data;
arranging and combining the temperature data, the harmonic data and the working data to obtain an environment data set;
in the embodiment of the invention, the environmental data set in the air compression station is acquired by the environmental data acquisition module, and the monitoring areas are acquired by dividing the areas of the plurality of devices, so that different monitoring areas can be monitored and processed, the monitoring efficiency and the processing accuracy can be effectively improved, and the influence caused by the working of each device is reduced.
The data analysis module comprises a temperature analysis unit and a harmonic analysis unit and is used for analyzing the working state information of a plurality of devices in the air compression station according to an environment data set, and the specific analysis steps are as follows:
the method comprises the following steps: acquiring temperature data and working data in the environment data set;
step two: monitoring the temperature of a plurality of devices during working according to the temperature data through a temperature analysis unit, marking the temperature of the plurality of devices in the temperature data as an initial temperature, and acquiring the starting time of the plurality of devices in the working data;
step three: using formulas
Acquiring migration coefficients Qq of a plurality of devices during working; wherein Wi1 is represented as a monitored temperature, Wi0 is represented as an initial temperature, alpha is represented as a preset temperature migration correction factor, Ki is represented as the starting time of a plurality of devices, and Ji is represented as a monitored time;
step four: acquiring the working migration temperatures of a plurality of devices by using the initial temperature and the migration coefficient, and combining the plurality of migration temperatures to obtain a migration temperature set;
step five: acquiring harmonic data in the environmental data set;
step six: analyzing the voltage frequency of a plurality of devices during working according to the harmonic data through a harmonic analysis unit, and marking the voltage frequencies in the harmonic data as initial frequencies;
step seven: comparing the initial frequencies with a preset standard frequency threshold, and if the initial frequencies are equal to the standard frequency threshold, generating first frequency analysis data; if the initial frequency is not equal to the standard frequency threshold, generating second frequency analysis data; combining the first frequency analysis data and the second frequency analysis data to obtain a frequency analysis set;
step eight: arranging and combining the migration temperature set and the frequency analysis set to obtain state information, and sending the state information to a monitoring processing module through a data transmission module;
the data transmission module is used for transmitting data among the modules;
in the embodiment of the invention, the data analysis module is used for analyzing the working state information of a plurality of devices in the air compression station according to the environment data set, the temperature analysis unit and the harmonic analysis unit are respectively used for analyzing the working of the plurality of devices, and whether the temperature data are in a normal range or not and whether harmonic influence is generated when the devices are switched on or off or not are monitored.
The monitoring processing module is used for receiving state information and monitoring the temperature and harmonic state of a plurality of devices in the air station during working, and the specific steps comprise:
acquiring a migration temperature set in the state information;
calculating a difference value between the migration temperature in the migration temperature set and a preset standard temperature threshold, and if the difference value is a negative number, generating a first temperature monitoring signal; if the difference value is zero, generating a second temperature monitoring signal; if the difference is a positive number, generating a third temperature monitoring signal;
combining the first temperature monitoring signal, the second temperature monitoring signal and the third temperature monitoring signal to obtain a temperature monitoring set, and sending the temperature monitoring set to an operation control module through a data transmission module;
acquiring a frequency analysis set and monitoring;
and generating a first frequency monitoring signal by using the first frequency analysis data, generating a second frequency monitoring signal by using the second frequency analysis data, combining the first frequency monitoring signal and the second frequency monitoring signal to obtain a frequency monitoring set, and transmitting the frequency monitoring set to an operation control module through a data transmission module.
In the embodiment of the invention, the monitoring processing module is used for receiving the state information, monitoring the temperature and harmonic wave states of a plurality of devices in the air station during working, generating different monitoring signals for temperature monitoring and voltage frequency monitoring at different degrees, and conveniently operating and adjusting the control module.
The operation control module is used for controlling and adjusting the work of a plurality of devices in the air station; the method comprises the following specific steps:
acquiring a temperature monitoring set, and regulating and controlling the temperature of a plurality of devices in the air compression station during working by using the temperature monitoring set; the method comprises the following steps:
acquiring a first temperature monitoring signal in the temperature monitoring, acquiring a time difference of the temperature rise of the migration temperature to a preset standard temperature threshold by using the first temperature monitoring signal, and performing first-level temperature reduction processing on equipment corresponding to the migration temperature by using the time difference; the first-level temperature reduction treatment is to perform air exhaust temperature reduction at a preset first air exhaust rate;
acquiring a second temperature monitoring signal in the temperature monitoring, and performing second-level cooling processing on the equipment corresponding to the migration temperature by using the second temperature monitoring signal; the second-level temperature reduction treatment is to perform air exhaust temperature reduction at a preset second air exhaust rate;
acquiring a third temperature monitoring signal in the temperature monitoring, and performing third-level temperature reduction treatment on the equipment corresponding to the migration temperature by using the third temperature monitoring signal; the third-level temperature reduction treatment is to perform air exhaust temperature reduction at a preset third air exhaust rate;
acquiring a frequency monitoring set;
acquiring a second frequency monitoring signal in the frequency monitoring set, and regulating and controlling power grid harmonic waves generated when a plurality of devices in the air station are turned on and turned off by using the second frequency monitoring signal; the method comprises the following steps:
acquiring equipment which generates power grid harmonics and corresponds to second frequency analysis data according to the second frequency monitoring signal, and setting the equipment as influence equipment Yi, i being 1, 2, 3 … n;
acquiring an on-time and an off-time of the influencing device, setting the on-time of the influencing device as a first influencing time YYi, i being 1, 2, 3 … n, and setting the off-time of the influencing device as a second influencing time YEi, i being 1, 2, 3 … n, respectively;
regulating and setting the first influence time by using a preset regulation and control interval value to obtain first regulation and control opening time and first regulation and control closing time; regulating and setting a second influence time by using a preset regulation and control interval value to obtain a second regulation and control opening time and a second regulation and control closing time; wherein the first regulated on-time is expressed as grid harmonic regulation before the influencing device is turned on; the first regulation and control closing time is expressed as ending the power grid harmonic regulation after the influence equipment is started; the second regulation on-time is expressed as grid harmonic regulation before the influencing equipment is turned off; the second regulation closing time is expressed as ending the power grid harmonic regulation after the influencing equipment is closed;
and controlling the harmonic regulation and control equipment to be turned on by utilizing the first regulation and control turn-on time and the second regulation and control turn-off time, and controlling the harmonic regulation and control equipment to be turned off by utilizing the first regulation and control turn-off time and the second regulation and control turn-off time.
In the embodiment of the invention, the operation control module is used for controlling and adjusting the work of a plurality of devices in the air compression station, the influence of heat and harmonic waves on the work of the devices is eliminated, the electric power resource can be reduced and the influence on the work of other devices can be reduced by cooling different monitoring area temperatures to different degrees, and the harmonic waves generated when the devices are switched on and off are solved by the conventional electric effect protection device, wherein the electric effect protection device is controlled before and after the devices are switched on and after the devices are switched off, so that the aim of accurately eliminating the influence of the harmonic waves can be achieved.
The working principle of the invention is as follows: compared with the prior art, the environment data acquisition module, the data analysis module, the monitoring processing module, the operation control module and the data transmission module are matched for use, so that the temperature in the air pressure station can be monitored and adjusted, the influence of heat which cannot be timely and accurately discharged to influence the normal work of equipment in the air pressure station is eliminated, and the influence of harmonic waves generated when the equipment is switched on and switched off to the work of other equipment can be eliminated; the method comprises the steps that an environment data set in the air compression station is collected through an environment data collection module, the environment data set is transmitted to a data analysis module through a data transmission module, and the environment data set comprises temperature data, harmonic data and working data; the positions of different devices are divided, the obtained temperatures of working areas of the different devices and the switching time are monitored and analyzed, the devices in abnormal temperature areas are adjusted in time, and the monitoring effect on the air compressor station can be effectively improved;
according to the invention, the working state information of a plurality of devices in the air compression station is analyzed according to the environment data set through the temperature analysis unit and the harmonic analysis unit in the data analysis module; whether the temperature condition of the ambient environment of each device during working is within a standard range or not can be obtained through the temperature analysis unit, whether the harmonic wave generated when each device is switched on or off affects other devices or not can be obtained through the harmonic wave analysis unit, and then data support can be provided for subsequent regulation and control, so that the affected devices can be accurately regulated and controlled;
according to the invention, the monitoring processing module is used for receiving the state information, monitoring the temperature and the harmonic state of a plurality of devices in the air compressor station during working, controlling and adjusting the working of the plurality of devices in the air compressor station through the operation control module, adjusting different temperatures in different areas to different degrees, and adjusting and controlling the devices generating harmonic influence in a targeted manner, so that the monitoring effect can be effectively improved, and the purpose of quickly eliminating the influence can be achieved.
In the embodiments provided by the present invention, it should be understood that the disclosed system and method can be implemented in other ways. For example, the above-described embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the method of the embodiment.
In addition, functional modules in several embodiments of the present invention may be integrated into one processing unit, several units may exist separately and physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the system claims may also be implemented by one unit or means in software or hardware. The terms second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above examples are only intended to illustrate the technical process of the present invention and not to limit the same, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that modifications or equivalent substitutions may be made to the technical process of the present invention without departing from the spirit and scope of the technical process of the present invention.
Claims (4)
1. An air compression station based on Internet of things monitoring is characterized by comprising an environmental data acquisition module, a data analysis module, a monitoring processing module, an operation control module and a data transmission module;
the environment data acquisition module is used for acquiring an environment data set in the air compression station and transmitting the environment data set to the data analysis module through the data transmission module, and the environment data set comprises temperature data, harmonic data and working data;
the data analysis module comprises a temperature analysis unit and a harmonic analysis unit and is used for analyzing the working state information of a plurality of devices in the air compression station according to an environment data set, and the specific analysis steps are as follows:
the method comprises the following steps: acquiring temperature data and working data in the environment data set;
step two: monitoring the temperature of a plurality of devices during working according to the temperature data through a temperature analysis unit, marking the temperature of the plurality of devices in the temperature data as an initial temperature, and acquiring the starting time of the plurality of devices in the working data;
step three: using formulas
Acquiring migration coefficients Qq of a plurality of devices during working; where Wi1 denotes the monitored temperature, Wi0Expressing the temperature as initial temperature, expressing alpha as a preset temperature migration correction factor, expressing Ki as the starting time of a plurality of devices, and expressing Ji as monitoring time;
step four: acquiring the working migration temperatures of a plurality of devices by using the initial temperature and the migration coefficient, and combining the plurality of migration temperatures to obtain a migration temperature set;
step five: acquiring harmonic data in the environmental data set;
step six: analyzing the voltage frequency of a plurality of devices during working according to the harmonic data through a harmonic analysis unit, and marking the voltage frequencies in the harmonic data as initial frequencies;
step seven: comparing the initial frequencies with a preset standard frequency threshold, and if the initial frequencies are equal to the standard frequency threshold, generating first frequency analysis data; if the initial frequency is not equal to the standard frequency threshold, generating second frequency analysis data; combining the first frequency analysis data and the second frequency analysis data to obtain a frequency analysis set;
step eight: arranging and combining the migration temperature set and the frequency analysis set to obtain state information, and sending the state information to a monitoring processing module through a data transmission module;
the data transmission module is used for transmitting data among the modules.
2. The air compressor station based on internet of things monitoring of claim 1, wherein the environmental data collection module is used for collecting an environmental data set in the air compressor station, and the specific steps include:
s21: acquiring the length and the width of a plurality of devices in an air compression station, acquiring the floor area of the plurality of devices by using the length and the width, and setting the floor area as Si, i is 1, 2, 3 … n; acquiring distance values among a plurality of devices, and setting the distance values to be Ji, i is 1, 2 and 3 … n;
s22: obtaining a median value of the distance values, and averaging the distance values by using the median value to obtain a first distance score and a second distance score;
s23: expanding the lengths and the widths of the plurality of devices by using the first distance score and the second distance score to obtain expanded lengths and expanded widths, and acquiring monitoring areas of the plurality of devices by using the expanded lengths, the expanded widths and the heights of the spaces in the air compression station;
s24: acquiring the temperature of the monitoring areas, combining the temperatures of the monitoring areas to obtain temperature data, and setting Wi, i to 1, 2, 3 … n;
s25: acquiring voltage frequencies of a plurality of devices in the air compression station during operation, and setting the voltage frequencies to Pi, i to 1, 2 and 3 … n; combining the voltage frequencies of a plurality of monitoring areas to obtain harmonic data;
s26: the method comprises the steps of obtaining the starting time and the closing time of a plurality of devices in the air compression station, combining the starting times to obtain starting time data, and setting the starting time data to be Ki, wherein i is 1, 2 and 3 … n; combining a plurality of closing time to obtain closing time data, and setting the closing time data to Gi, i-1, 2, 3 … n;
s27: acquiring distribution time for supplying power to the air station, and combining the start time data, the close time data and the distribution time to obtain working data;
s28: and arranging and combining the temperature data, the harmonic data and the working data to obtain an environment data set.
3. The air compressor station based on internet of things monitoring of claim 1, wherein the monitoring processing module is used for receiving state information and monitoring the temperature and harmonic state of a plurality of devices in the air compressor station during operation, and the specific steps include:
s31: acquiring a migration temperature set in the state information;
s32: calculating a difference value between the migration temperature in the migration temperature set and a preset standard temperature threshold, and if the difference value is a negative number, generating a first temperature monitoring signal; if the difference value is zero, generating a second temperature monitoring signal; if the difference is a positive number, generating a third temperature monitoring signal;
s33: combining the first temperature monitoring signal, the second temperature monitoring signal and the third temperature monitoring signal to obtain a temperature monitoring set, and sending the temperature monitoring set to an operation control module through a data transmission module;
s34: acquiring a frequency analysis set and monitoring;
s35: and generating a first frequency monitoring signal by using the first frequency analysis data, generating a second frequency monitoring signal by using the second frequency analysis data, combining the first frequency monitoring signal and the second frequency monitoring signal to obtain a frequency monitoring set, and transmitting the frequency monitoring set to an operation control module through a data transmission module.
4. The air compressor station based on internet of things monitoring of claim 1, wherein the operation control module is used for controlling and adjusting the operation of a plurality of devices in the air compressor station; the method comprises the following specific steps:
s41: acquiring a temperature monitoring set, and regulating and controlling the temperature of a plurality of devices in the air compression station during working by using the temperature monitoring set; the method comprises the following steps:
SS 411: acquiring a first temperature monitoring signal in the temperature monitoring, acquiring a time difference of the temperature rise of the migration temperature to a preset standard temperature threshold by using the first temperature monitoring signal, and performing first-level temperature reduction processing on equipment corresponding to the migration temperature by using the time difference; the first-level temperature reduction treatment is to perform air exhaust temperature reduction at a preset first air exhaust rate;
and SS 412: acquiring a second temperature monitoring signal in the temperature monitoring, and performing second-level cooling processing on the equipment corresponding to the migration temperature by using the second temperature monitoring signal; the second-level temperature reduction treatment is to perform air exhaust temperature reduction at a preset second air exhaust rate;
SS 413: acquiring a third temperature monitoring signal in the temperature monitoring, and performing third-level temperature reduction treatment on the equipment corresponding to the migration temperature by using the third temperature monitoring signal; the third-level temperature reduction treatment is to perform air exhaust temperature reduction at a preset third air exhaust rate;
s42: acquiring a frequency monitoring set;
s43: acquiring a second frequency monitoring signal in the frequency monitoring set, and regulating and controlling power grid harmonic waves generated when a plurality of devices in the air station are turned on and turned off by using the second frequency monitoring signal; the method comprises the following steps:
SS 431: acquiring equipment which generates power grid harmonics and corresponds to second frequency analysis data according to the second frequency monitoring signal, and setting the equipment as influence equipment Yi, i being 1, 2, 3 … n;
SS 432: acquiring an on-time and an off-time of the influencing device, setting the on-time of the influencing device as a first influencing time YYi, i being 1, 2, 3 … n, and setting the off-time of the influencing device as a second influencing time YEi, i being 1, 2, 3 … n, respectively;
SS 433: regulating and setting the first influence time by using a preset regulation and control interval value to obtain first regulation and control opening time and first regulation and control closing time; regulating and setting a second influence time by using a preset regulation and control interval value to obtain a second regulation and control opening time and a second regulation and control closing time;
wherein the first regulated on-time is expressed as grid harmonic regulation before the influencing device is turned on; the first regulation and control closing time is expressed as ending the power grid harmonic regulation after the influence equipment is started; the second regulation on-time is expressed as grid harmonic regulation before the influencing equipment is turned off; the second regulation closing time is expressed as ending the power grid harmonic regulation after the influencing equipment is closed;
SS 434: and controlling the harmonic regulation and control equipment to be turned on by utilizing the first regulation and control turn-on time and the second regulation and control turn-off time, and controlling the harmonic regulation and control equipment to be turned off by utilizing the first regulation and control turn-off time and the second regulation and control turn-off time.
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| CN113586423A (en) * | 2021-09-08 | 2021-11-02 | 广东鑫钻节能科技股份有限公司 | Electric energy stability monitoring system for air compressor |
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Denomination of invention: An Air Compressor Station Based on IoT Monitoring Granted publication date: 20210615 Pledgee: Guangzhou Bank Co.,Ltd. Baiyun Branch Pledgor: Guangdong xinzuan Energy Saving Technology Co.,Ltd. Registration number: Y2024980003972 |