CN109507957B - Cloud intelligent power-saving system for water treatment industry - Google Patents
Cloud intelligent power-saving system for water treatment industry Download PDFInfo
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- CN109507957B CN109507957B CN201710835640.8A CN201710835640A CN109507957B CN 109507957 B CN109507957 B CN 109507957B CN 201710835640 A CN201710835640 A CN 201710835640A CN 109507957 B CN109507957 B CN 109507957B
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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], computer integrated manufacturing [CIM]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P5/00—Arrangements specially adapted for regulating or controlling the speed or torque of two or more electric motors
- H02P5/74—Arrangements specially adapted for regulating or controlling the speed or torque of two or more electric motors controlling two or more ac dynamo-electric motors
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
- Y02P80/10—Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- 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
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
A cloud intelligent electricity-saving system for water treatment industry comprises a cloud intelligent platform and at least one water treatment plant, wherein the water treatment plant at least comprises a main programmable logic controller, more than one external device and a plurality of sensor modules, the external device at least comprises a frequency converter and an electricity-consuming electromechanical facility electrically connected with the frequency converter, the device operation parameters and water treatment sensing parameters of different external devices can be monitored and transmitted to the cloud intelligent platform for storage and statistical correlation analysis, the device operation parameters meeting the minimum requirement of water treatment emission standard data can be found out after data analysis, so that the device operation parameters can be optimized, the water treatment plant can keep operating different electromechanical facilities under the basic requirement meeting the emission standard, and the energy consumption of the electricity-consuming electromechanical facility can be reduced, so as to achieve the purpose of energy conservation.
Description
Technical Field
The invention relates to a cloud intelligent power saving system for water treatment industry, in particular to a cloud intelligent power saving system which can reduce the energy consumption of power consumption electromechanical facilities through cloud data statistical analysis so as to achieve the purpose of energy saving.
Background
In recent years, due to the rising awareness of environmental protection, the treatment or recycling of industrial waste and domestic waste has been receiving great attention from the public. For example: among the treatment and disposal of waste gas, waste water, solid waste or toxic chemicals and other waste materials, the treatment of industrial water, discharge water or civil-related waste water is a very important part, if the water to be treated is discharged randomly without proper treatment, not only is the ecological imbalance of the nature endangered, but also the water resource can be damaged to cause the shortage of civil water, and even in a very short time, the whole environment can be threatened and damaged considerably.
However, in order to maintain the water quality, different power consumption electromechanical facilities are required to treat the water quality, and for sewage, after the chemical oxygen demand is reduced by microbial treatment, the sewage can be discharged for different purposes after reaching the discharge standard value through the processes of filtering, sterilizing and the like, so that the power consumption electromechanical facilities (a sewage inflow pump, a sewage circulating pump, a sludge reflux pump, a sewage discharge pump, a stirrer, a blower, a surface aerator and the like) used in the processes are very important, and therefore, manufacturers operate the power consumption electromechanical facilities for a long time with the highest efficiency, the emission standard value can be reached without control, but the electric facilities are consumed by the operation, the power consumption is very large, so if the above situation can be improved to save the excessive power consumption, it will be helpful to the environment protection.
In order to achieve the purpose of saving excessive loss of electric quantity, if the operating state of the power consumption electromechanical facility which can be reduced at the lowest under the condition of keeping the standard meeting the emission standard value can be found out through data collection and statistical analysis, the power consumption electromechanical facility can be enabled to be operated at the highest efficiency for a long time without meeting the emission standard requirement, and the power consumption can be effectively reduced, so the invention is an optimal solution.
Disclosure of Invention
The invention is applied to the intelligent power-saving system of cloud of the water treatment industry, including: a cloud intelligent platform, at least comprising a front-end application servo module for connecting with external equipment, wherein the front-end application servo module can receive equipment operation parameters of different external equipment and at least one water treatment sensing parameter, and the equipment operation parameters at least comprise a single machine operation power; the data collection and storage database module is connected with the front-end application servo module and is used for storing the equipment operation parameters received by the front-end application servo module; the big data statistical analysis module is connected with the data collection and storage database module and is used for performing statistical analysis on the equipment operation parameters and the water treatment sensing parameters so as to analyze the relevance of all the equipment operation parameters and then storing the analyzed statistical analysis result in the data collection and storage database module; the energy-saving standard adjusting module is connected with the big data statistical analysis module, judges that the water treatment sensing parameters are kept on the standard of the water treatment discharge standard data according to the analyzed statistical analysis result and the water treatment discharge standard data, sets an equipment energy-saving operation standard value according to the standard value, and can adjust the equipment operation parameters of different external equipment according to the equipment energy-saving operation standard value; an energy baseline establishing module connected with the front-end application servo module, which can record the single machine running power of different external devices running in a period of time, average all the recorded single machine running power to obtain a single machine running average power, and multiply the single machine running average power by the number of running hours of different external devices on the same day to obtain the energy baseline values of different external devices; the power-saving efficiency calculating and comparing module is connected with the front-end application servo module, the energy-saving standard adjusting module and the energy baseline establishing module and is used for comparing the energy baseline value with the single-machine running power accumulated after the adjustment of different external equipment so as to generate adjusted energy-saving benefit data; the system comprises at least one water treatment plant and at least one water treatment system, wherein the water treatment plant at least comprises more than one external device, and the external device at least comprises a frequency converter and an electric power consumption electromechanical facility electrically connected with the frequency converter; the network module can be connected with the cloud intelligent platform through a wired network or a wireless network, and the water treatment plant can perform bidirectional/unidirectional data transmission with the cloud intelligent platform through the network module; the main programmable logic controller is electrically connected with all the external devices, and is used for transmitting a control command to frequency converters of different external devices, the frequency converters can provide electric energy required by the speed reduction operation of the power consumption electromechanical facility according to the control command, and the main programmable logic controller can monitor the device operation parameters of different external devices and can transmit the device operation parameters to the cloud intelligent platform through the network module; and the multiple sensor modules can monitor the water treatment sensing parameters in the water treatment plant and can transmit the water treatment sensing parameters to the cloud intelligent platform.
More specifically, the front-end application servo module can also perform authentication processing, and after the authentication processing is completed, can receive equipment operation parameters and at least one water treatment sensing parameter of different external equipment.
More specifically, the device operation parameter may be at least one of a frequency converter load side output frequency, a frequency converter command frequency, a frequency converter load side output current, a frequency converter load side output voltage, a voltage value of a DC Bus inside the frequency converter, an operation condition of a current power consuming electromechanical facility, a frequency converter fault code, a torque current, an operation temperature of a power module inside the frequency converter, a voltage and current phase angle difference of a load motor, or a DC Bus ripple voltage inside the frequency converter.
More specifically, the front-end application servo module can also output at least one control command to the external device, so as to adjust the device operating parameters of different external devices according to the device energy-saving operating standard value.
More specifically, the cloud intelligent platform further comprises a charging management module connected with the data collection and storage database module and the power saving efficiency calculation and comparison module, wherein the charging management module can set a charging standard, and the charging standard can perform charging adjustment according to different energy saving benefit data.
More specifically, the cloud intelligent platform further comprises a chart output module connected with the data collection and storage database module, and the chart output module is used for outputting the equipment operation parameters, the water treatment sensing parameters or/and the statistical analysis results in a chart mode.
More specifically, the cloud intelligent platform further comprises a monitoring alarm module connected with the data collection and storage database module, and the monitoring alarm module is used for setting a monitoring upper limit value/a monitoring lower limit value for all types of equipment operation parameters, and can give an alarm when the equipment operation parameters exceed the monitoring upper limit value or the monitoring lower limit value.
More specifically, the cloud intelligent platform further comprises an inspection module, the inspection module is used for providing an inspection system interface connected with the front-end application servo module, and a maintenance operator can log in the inspection system interface through an electronic device and check the maintenance operation according to the inspection system interface.
More specifically, the water treatment plant can be a sewage treatment plant or a water treatment plant.
More specifically, the power consuming electromechanical devices of the external equipment are a sewage inflow pump, a sewage circulating pump, a sludge reflux pump, a sewage discharge pump, a stirrer, a blower, a surface aerator, a clean water suction pump or a clean water pressurizing pump.
More specifically, the water treatment plant further includes a control device, an operation interface is built in the control device, and the operation interface is used for setting the external device in the water treatment plant, so that the control device can directly input a control instruction in the water treatment plant to control and adjust the external device.
More specifically, the water treatment plant further comprises a standby programmable logic controller electrically connected with the main programmable logic controller, the standby programmable logic controller is used for supporting the main programmable logic controller, and when the main programmable logic controller fails, the main programmable logic controller can be automatically switched to the standby programmable logic controller in a standby mode.
More specifically, the water treatment plant further comprises a monitoring and warning module, wherein the monitoring and warning module is used for monitoring the operation states of the external equipment, the main programmable logic controller and the sensor module, and can start standby equipment or perform warning treatment according to the operation states.
More specifically, the frequency converter of the external device is a low-voltage frequency converter or a medium-voltage frequency converter.
More specifically, the sensor module can be at least one of a liquid level sensor, a dissolved oxygen sensor, a suspended matter sensor, an acid-base number sensor, a chemical oxygen demand sensor, a flow sensor, a pressure sensor, a temperature sensor, or the like.
Drawings
Fig. 1 is a schematic diagram of an overall architecture of a cloud-based intelligent power saving system for water treatment industry according to the present invention.
Fig. 2 is a schematic diagram of an internal architecture of a cloud intelligent platform of the cloud intelligent power saving system for water treatment industry according to the present invention.
Fig. 3 is a schematic diagram of the internal architecture of a water treatment plant of the cloud-based intelligent power saving system for water treatment industry according to the present invention.
Fig. 4 is a schematic diagram of a troubleshooting process of the cloud-based intelligent power saving system for water treatment industry according to the present invention.
Fig. 5A is a schematic diagram of the aeration tank dissolved oxygen change state of the cloud-based intelligent power saving system for water treatment industry according to the present invention.
Fig. 5B is a schematic diagram of the aeration tank dissolved oxygen change state of the cloud-based intelligent power saving system for water treatment industry according to the present invention.
Fig. 6A is a schematic diagram of an implementation of energy saving benefits of the cloud-based intelligent power saving system for water treatment industry according to the present invention.
Fig. 6B is a schematic diagram of an implementation of energy saving benefits of the cloud-based intelligent power saving system for water treatment industry according to the present invention.
Fig. 6C is a schematic diagram of an implementation of energy saving benefits of the cloud-based intelligent power saving system for water treatment industry according to the present invention.
Fig. 6D is a schematic diagram of an implementation of energy saving benefits of the cloud-based intelligent power saving system for water treatment industry according to the present invention.
Fig. 6E is a schematic diagram of an implementation of energy saving benefits of the cloud-based intelligent power saving system for water treatment industry according to the present invention.
Description of the reference numerals
1-cloud intelligent platform
101-front-end application servo module
102-data Collection repository database Module
103-big data statistical analysis module
104-energy-saving standard adjusting module
105-energy baseline establishing module
106-power saving efficiency calculating and comparing module
107-charging management module
108-Chart Generation Module
109-monitoring alarm module
110-routing inspection module
2-Water treatment plant
21-external device
211-frequency converter
212-consuming Electrical installation
22-network module
23-Main programmable logic controller
24-sensor module
25-control device
26-Standby programmable logic controller
27-monitoring and warning module
Detailed Description
Other technical matters, features and effects of the present invention will become apparent from the following detailed description of preferred embodiments, which proceeds with reference to the accompanying drawings.
Referring to fig. 1 to 3, there are shown a schematic diagram of an overall architecture of a cloud-end intelligent power saving system for water treatment industry, a schematic diagram of an internal architecture of a cloud-end intelligent platform, and a schematic diagram of an internal architecture of a water treatment plant according to the present invention, and it can be seen that the cloud-end intelligent power saving system for water treatment industry includes a cloud-end intelligent platform 1 and at least one water treatment plant 2.
The cloud intelligent platform 1 includes a front-end application server module 101, a data collection and storage database module 102, a big data statistical analysis module 103, an energy-saving standard adjustment module 104, an energy baseline establishment module 105, an energy-saving efficiency calculation and comparison module 106, a billing management module 107, a chart generation module 108, a monitoring alarm module 109, and a polling module 110.
The front-end application servo module 101 is used for connecting with the external equipment 21 of the water treatment plant 2, the front-end application servo module 101 can receive the equipment operation parameters and at least one water treatment sensing parameter of different external equipment 21 of the water treatment plant 2, and the equipment operation parameters are as follows:
(1) single machine running power (output power KW value of the load side of the frequency converter);
(2) the frequency converter outputs frequency at the load side;
(3) frequency converter command frequency;
(4) outputting current at the load side of the frequency converter;
(5) outputting voltage at the load side of the frequency converter;
(6) the voltage value of DC Bus inside the frequency converter;
(7) the operating conditions (running/forward/acceleration/deceleration) at which the current electricity consuming electric installation is located;
(8) a frequency converter fault code;
(9) torque Current (Torque Current);
(10) operating temperature of a power module in the frequency converter;
(11) a voltage and current phase angle difference of the load motor;
(12) the converter internal DC Bus Ripple Voltage (Ripple Voltage).
The front-end application servo module 101 mainly receives a web application program of a personal computer/pen-type computer, a web application program of a handheld device, and a service request uploaded by an energy-saving scenario PLC (main programmable logic controller 23) through a network module 22 and periodically uploads related operation parameters of each energy-saving target (power consumption electromechanical facility 212) or an energy-saving scenario display system, and performs an authentication procedure on a service requester to confirm a legal user, and after the authentication procedure is completed, the front-end application servo module 101 can perform task assignment operation on a service flow passing the authentication procedure according to related working attributes.
In addition, the front-end application servo module 101 can also output at least one control command to the external device 21, so as to adjust the device operating parameters of different external devices 21 according to a device energy-saving operating standard value.
The data collection and storage database module 102 is used for storing the equipment operation parameters received by the front-end application server module 101, and the big data statistical analysis module 103 is used for performing statistical analysis on the equipment operation parameters and the water treatment sensing parameters to analyze the relevance of all the equipment operation parameters, and then storing the analyzed statistical analysis results in the data collection and storage database module 102.
The analysis mode used by the big data statistical analysis module 103 is a basic analysis function such as parameter trend analysis, parameter cross analysis, parameter correlation analysis, and the like, and then an energy-saving expert system can be gradually formed by means of long-term big data accumulation, and the formed energy-saving expert system further provides related expert suggestions such as maintenance/update decision suggestions, pre-known maintenance suggestions, optimal operation optimization suggestions, and the like of investment energy-saving targets.
The energy-saving standard adjustment module 104 determines how to set the equipment operating parameters under the condition that the water treatment sensing parameters are kept at the minimum standard according to the analyzed statistical analysis result and water treatment discharge standard data, so that all the set equipment operating parameters after the determination are stored as an equipment energy-saving operating standard value, and the equipment operating parameters of different external equipment can be adjusted according to the equipment energy-saving operating standard value.
The energy baseline establishing module 105 can record the single-machine operation power of different external devices operating in a period of time, average all the recorded single-machine operation power to obtain a single-machine operation average power, and multiply the single-machine operation average power by the number of operating hours of the different external devices on the same day to obtain the energy baseline values of the different external devices.
The energy baseline mentioned in the present invention is a quantitative reference line used as a comparison standard of energy performance, and in terms of water treatment, the energy baseline refers to the power consumption electromechanical facility 212 of each external device 21 in a sewage treatment plant or a clean water treatment plant, and the daily operation time of each energy-saving standard (external device 21) based on the sewage treatment plant or the clean water treatment plant is not fixed, and is regulated and controlled in real time depending on the factors such as the daily sewage amount, water quality, discharge index, weather, and the like.
Furthermore, on the premise that the operation of the energy-saving system needs to meet the operating conditions of the sewage plant, the energy-saving benefit KWh value before energy saving improvement is used as an energy base line, and then the daily energy-saving benefit KWh value is calculated according to the improved single-machine operation power KW value recorded by the cloud intelligent platform 1 in an uploading mode every minute and the relevant operation time.
The power saving efficiency calculating and comparing module 106 is configured to compare the energy baseline value with the single machine operating power accumulated after adjustment of different external devices 21 to generate an adjusted energy saving benefit data, and the billing management module 107 is configured to set a billing standard, wherein the billing standard can perform a charging adjustment according to the different energy saving benefit data.
The charging management module 107 is mainly used for carrying out monthly settlement electricity saving benefit, current-month-platform electricity price rate and electricity saving benefit distribution proportion of the energy saving service contract, and generating energy saving service charging monthly bills of clients of different water treatment plants 2 as the current-month energy saving service charging basis. The following will be described item by item:
(1) calculating the power saving benefit: according to the IPMVP Option a international energy saving performance measurement and verification protocol, the two parties measure and confirm the running power KW value of the motor before improvement of each energy saving target (power consumption electromechanical facility 212) as the basis for establishing the energy baseline, wherein the billing management module 107 mainly calculates the running power KWh value of the motor after improvement of each energy saving target (power consumption electromechanical facility 212) and the running time of the energy saving target (power consumption electromechanical facility 212) recorded in the data collection and storage database module 102, calculates the running power KWh value of the motor before improvement of the energy saving target (power consumption electromechanical facility 212) and the running power KWh value of the motor after improvement, and finally subtracts the two values to obtain the electricity saving benefit KWh value.
(2) Logging in the electricity rate: the billing bills of the station electricity billing of the clients of different water treatment plants 2 are set, and the billing bills can be high-voltage two-stage electricity prices (off-peak electricity prices, peak electricity prices), high-voltage three-stage electricity prices (off-peak electricity prices, half-peak electricity prices, peak electricity prices) or average electricity price billing according to contracts of both parties.
(3) Setting the distribution ratio: according to the distribution proportion of the electricity-saving efficiency of the service contracts of both parties, the charging management module 107 calculates the amount of money generated by the electricity-saving efficiency by referring to the electricity rate of the electricity-saving efficiency KWh, and then generates the monthly charging bill of the energy-saving service according to the distribution proportion, wherein the distribution proportion depends on the analysis of the whole financial plan, for example, the distribution proportion can be changed from 8:2 distribution to 7:3, 6:4, 5:5 distribution and the like after the balance of the balance.
The graph generating module 108 is configured to output the operation parameters of the equipment, the sensing parameters of the water treatment or/and the statistical analysis results in a graph manner, so that the energy-saving field (water treatment plant 2) can provide an annual/quarterly/monthly/weekly statistical graph output through the graph generating module 108, and the graphs can be an energy consumption distribution statistical graph, an energy saving benefit statistical graph, an energy consumption trend graph and an operation parameter trend graph, and in addition, the graph generating module 108 can be matched with the big data statistical analysis module 103 to output relevant multiple Y-axis graphs such as parameter trend analysis, parameter cross analysis and parameter correlation analysis.
The monitoring alarm module 109 is configured to set a monitoring upper limit value/a monitoring lower limit value for all types of equipment operation parameters, and monitor whether the equipment operation parameters exceed the monitoring upper limit value or the monitoring lower limit value, and because the monitoring alarm module 109 can set an alarm notification list, when the monitoring operation parameters exceed the monitoring upper limit value or the monitoring lower limit value, the monitoring alarm module can notify the client personnel in the alarm notification list in real time through an email.
Regarding the monitoring upper limit/monitoring lower limit set for the monitoring operation parameter, the monitoring alarm module 109 can distinguish the monitoring upper limit/monitoring lower limit variation range and respectively define: monitoring ranges of Critical Alarm (Critical Alarm)/Major Alarm (Major Alarm)/Minor Alarm (Minor Alarm) and informing corresponding case client personnel, energy-saving system maintainers and system managers according to the Alarm occurrence severity; in addition, for the long-term data statistics of the secondary alarm, the long-term data statistics can be used as a reference index for developing the predicted maintenance recommendation of the energy-saving expert system by the big data statistics analysis module 103.
The inspection module 110 is used for providing an inspection system interface, a maintenance operator can log in the inspection system interface by an electronic device and check the maintenance operation according to the inspection system interface, the inspection module 110 can control the QR Code preset in the electric disk through each energy-saving target (power consumption electromechanical facility 212) and scan and log in the inspection system picture through a mobile phone or a flat QR Code, and then the original design circuit diagram in the control electric disk and the BOM table of the electric disk building material are obtained.
The inspection system picture is helpful for the energy-saving system maintenance personnel to perform the maintenance operation of arriving at the station and the routine asset checking operation, and can log the arrival time of the maintenance personnel so as to facilitate the energy-saving system maintenance auditing operation. In addition, the polling module 110 must provide the following transaction management mechanisms:
(1) energy efficient (consuming electrical and mechanical facilities 212) motor up/down variation;
(2) updating and changing original design circuit diagram;
(3) updating and updating the BOM table of the electric disc building material;
(4) the system maintains the change of personnel.
The water treatment plant 2 is a sewage treatment plant or a clean water treatment plant, and the water treatment plant 2 includes more than one external device 21, a network module 22, a main programmable logic controller 23, various sensor modules 24, a control device 25, a standby programmable logic controller 26 and a monitoring and warning module 27.
The external device 21 at least comprises a frequency converter 211 and a power consumption electromechanical facility 212 electrically connected with the frequency converter, the frequency converter of the external device is a low-voltage frequency converter (low voltage refers to 220-480V) or a medium-voltage frequency converter (medium voltage refers to 3.3-13.8 KV), and the power consumption electromechanical facility 212 is a sewage inflow pump, a sewage circulating pump, a sludge reflux pump, a sewage discharge pump, a stirring machine, an air blower, a surface aerator, a clean water suction pump or a clean water pressure pump.
The network module 22 can be connected to the cloud intelligent platform 1 through a wired network (ADSL private line) or a wireless network (3G/4G wireless network bandwidth), and the water treatment plant 2 can perform bidirectional/unidirectional data transmission with the cloud intelligent platform 1 through the network module 22.
The main programmable logic controller 23 is electrically connected to all the external devices 21, wherein the main programmable logic controller 23 is configured to transmit a control command to the frequency converters 211 of different external devices 21, the frequency converters 211 can provide the electric energy required by the power consuming electromechanical device 212 for speed reduction operation according to the control command, and the main programmable logic controller 23 can periodically monitor the device operation parameters of different external devices 21 and can transmit the device operation parameters to the cloud intelligent platform 1 through the network module 22 for big data statistical analysis.
Wherein this sensor module 24 can monitor the water treatment sensing parameter in this water treatment plant 2 to can convey this water treatment sensing parameter to this high in the clouds intelligent platform 1 through this main programmable logic controller 23, wherein this sensor module 24 can be level sensor, Dissolved Oxygen (DO) sensor, Suspended Solid (SS) sensor, acid-base value (pH) sensor, Chemical Oxygen Demand (COD) sensor, flow sensor, pressure sensor, temperature sensor.
The control device 25 has an operation interface built therein, and the operation interface is used for setting the external device 21 in the water treatment plant 2, so as to directly input a control instruction in the water treatment plant 2, so as to control and adjust the external device 21, and besides, the control device 25 can be used as a state monitoring and displaying system for the operation of the energy-saving system besides setting the control logic and control parameters of the energy-saving system and modifying the operation interface.
The standby plc 26 can be used to support the main plc 23, and the monitoring and warning module 27 can monitor the operating status of the external device 21, the main plc 23 and the sensor module 24, and can start the standby device 26 or perform warning processing according to the operating status, and the troubleshooting process of the monitoring and warning module 27 is shown in fig. 4, and the process is described as follows:
(1) the monitoring program 401 is executed through the monitoring and warning module 27, and firstly, whether the sensor has a fault is judged 402, if yes, the PLC (main programmable logic controller 23) is controlled to set the frequency converter 211 to enter a constant frequency operation mode 403, and simultaneously, system maintenance warning information 404 is sent;
(2) then judging whether the PLC (the main programmable logic controller 23) has a fault 405, if the PLC (the main programmable logic controller 23) has a fault, automatically switching the PLC (the main programmable logic controller 23) to a backup unit (the backup programmable logic controller 26)406 and simultaneously sending out system maintenance warning information 407;
(3) then, whether the frequency converter 211 has a fault is judged 408, if the frequency converter 211 has a fault, the PLC (main programmable logic controller 23) starts the frequency converter 211 to enter a bypass operation Mode 409 and sends out a system maintenance alarm message 410 at the same time;
(4) finally, it is determined whether the power consuming electromechanical device 212 of the external device 21 has a fault 411, and if the power consuming electromechanical device 212 has a fault, the PLC (main programmable logic controller 23) starts the backup motor 412 and sends a system maintenance alarm 413.
As shown in FIG. 5A and FIG. 5B, the dissolved oxygen data of different aeration tanks at 4/1-4/6 shows that, in general, the dissolved oxygen required by a biological aeration tank of a sewage plant is about 1mg/L, but as can be seen from FIG. 5A and FIG. 5B, during holidays or continuous holidays (4/1-4/6), the dissolved oxygen value of the aeration tank is as high as 7-9 mg/L, and the retention time of sewage is prolonged and the aeration machine is over-aerated obviously because the sewage amount is reduced in holidays but the aeration machine still operates at high efficiency, so that if the operation of the aeration machine can be reduced and maintained at the dissolved oxygen of about 1mg/L, the aeration machine can operate at high efficiency without continuing, and the power saving benefit of the aeration machine can be increased under the condition of carrying and running.
The present invention is directed to the explanation of the power saving effect of the 100HP roots blower of the sewage plant, as shown in fig. 6A to 6E, but before the improvement of energy saving, the 60Hz single machine operation power KW value must be measured to be 53.5KW, and with respect to the energy baseline (KWh) before the improvement of energy saving, 53.5KW must be multiplied by the current day operation hours to obtain the current day energy baseline.
After the operation parameters of the equipment are modified, the single-machine operation power KW values monitored and obtained in month 4 and 4/12 are shown in fig. 6B, and the detailed single-machine operation power KW values monitored and obtained in the cloud record 4/12 are shown in fig. 6C, so when the cloud calculates the power saving effect, the energy saving effect (actual single-machine operation power KW value) collected and stored by the cloud every minute in the same day is multiplied by 1/60 (once recorded every minute), and then the running time in the same day is accumulated and summed to obtain the running KWh after the energy saving effect improvement, and the operation is as follows:
in addition to (37.4+37.1+37.1+37.2+37+37.3+ … +37.6) KW ═ 1/60 h 904.1KWh, the cloud also needed to calculate the pre-improvement energy baseline (KWh) for the day 4/12 as follows:
53.5KW*[(538+900)/60]h＝1282.2KWh
in addition, if there are a plurality of energy saving targets (power consuming electromechanical facilities 212) in the whole plant, the pre-improvement energy baseline KWh and the running power KW value of each target are calculated and added, and then the pre-improvement energy baseline KWh and the whole plant running power KW value are calculated, and the energy saving efficiency calculation and comparison module 106 will calculate the energy saved on the same day by subtracting the actual running KWh on the same day from the pre-improvement energy baseline KWh after 12:00 in the morning every day, but the saved energy is not necessarily presented in the form of the whole day, and is a difference diagram between the actual running KWh on each day and the pre-improvement energy baseline KWh, as shown in fig. 6A.
When the difference between the actual running KWh of 4/12 and the energy baseline KWh before improvement is calculated, as shown in fig. 6D, the energy saving degree can be calculated and the electricity rate can be converted according to the electricity rate standard, and after the energy saving degrees for 4 months are calculated and accumulated, the data can be displayed as shown in fig. 6E.
Compared with other prior art, the cloud intelligent power-saving system for the water treatment industry provided by the invention has the following advantages:
(1) according to the invention, the operation state of the lowest possible reduction of the power consumption electromechanical facility under the standard of maintaining the most basic emission standard value can be found out through analysis after data collection and statistical analysis, so that the power consumption electromechanical facility does not need to be operated at the highest efficiency for a long time, but the standard requirement of the most basic emission can be maintained, and the power consumption can be effectively reduced.
The present invention is not limited to the embodiments described above, and those skilled in the art can understand the technical features and embodiments of the present invention and make various changes and modifications without departing from the spirit and scope of the present invention.
Claims (15)
1. A cloud intelligent power saving system for the water treatment industry, comprising:
a cloud intelligence platform, comprising at least:
a front-end application servo module for connecting with an external device, wherein the front-end application servo module can receive device operation parameters of different external devices and at least one water treatment sensing parameter, and the device operation parameters at least comprise a single machine operation power;
the data collection and storage database module is connected with the front-end application servo module and is used for storing the equipment operation parameters received by the front-end application servo module;
the big data statistical analysis module is connected with the data collection and storage database module and is used for performing statistical analysis on the equipment operation parameters and the water treatment sensing parameters so as to analyze the relevance of all the equipment operation parameters and then storing the analyzed statistical analysis result in the data collection and storage database module;
the energy-saving standard adjusting module is connected with the big data statistical analysis module, judges that the water treatment sensing parameter is kept at the lowest standard of the water treatment discharge standard data according to the analyzed statistical analysis result and the water treatment discharge standard data, sets an equipment energy-saving operation standard value according to the water treatment discharge standard data, and can adjust equipment operation parameters of different external equipment according to the equipment energy-saving operation standard value;
an energy baseline establishing module, which is connected with the front-end application servo module and can record the single machine running power of different external devices running in a period of time, average all the recorded single machine running power to obtain a single machine running average power, and multiply the single machine running average power by the day running hours of different external devices, so as to obtain the energy baseline values of different external devices, wherein the energy baseline values can be regulated and controlled in real time according to the day sewage quantity, water quality, discharge indexes and weather factors;
the power-saving efficiency calculating and comparing module is connected with the front-end application servo module, the energy-saving standard adjusting module and the energy baseline establishing module and is used for comparing the energy baseline value with the single-machine running power accumulated after the adjustment of different external equipment so as to generate adjusted energy-saving benefit data;
at least one water treatment plant comprising at least:
more than one external device, wherein the external device at least comprises a frequency converter and a power consumption electromechanical facility electrically connected with the frequency converter;
the network module can be connected with the cloud intelligent platform through a wired network or a wireless network, and the water treatment plant can perform bidirectional/unidirectional data transmission with the cloud intelligent platform through the network module;
the main programmable logic controller is electrically connected with all the external devices, and is used for transmitting a control command to frequency converters of different external devices, the frequency converters can provide electric energy required by the speed reduction operation of the power consumption electromechanical facility according to the control command, and the main programmable logic controller can monitor the device operation parameters of different external devices and can transmit the device operation parameters to the cloud intelligent platform through the network module; and
the multiple sensor modules can monitor water treatment sensing parameters in the water treatment plant and can transmit the water treatment sensing parameters to the cloud intelligent platform.
2. The cloud-based intelligent power saving system for water treatment industry of claim 1, wherein the front-end application server module is further capable of performing an authentication process, and after the authentication process is completed, is capable of receiving device operating parameters and at least one water treatment sensing parameter of different external devices.
3. The cloud-based intelligent power saving system for water treatment industry as claimed in claim 1, wherein the device operation parameters can be at least one of frequency converter load-side output frequency, frequency converter command frequency, frequency converter load-side output current, frequency converter load-side output voltage, voltage value of converter internal DC Bus, current operating conditions of power consuming electromechanical devices, frequency converter fault code, torque current, operating temperature of converter internal power module, voltage and current phase angle difference of load motor, or converter internal DC Bus ripple voltage.
4. The cloud-based intelligent power saving system for water treatment industry of claim 1, wherein the front-end application servo module is also capable of outputting at least one control command to the external device to adjust device operating parameters of different external devices according to the device energy-saving operating standard value.
5. The cloud-based intelligent power saving system for water treatment industry of claim 1, wherein the cloud-based intelligent platform further comprises a billing management module connected to the data collection and storage database module and the power saving efficiency calculation and comparison module, the billing management module can set a billing standard, and the billing standard can perform billing adjustment according to different energy saving benefit data.
6. The cloud-based smart power saving system of claim 1, wherein the cloud-based smart platform further comprises a graph generation module coupled to the data collection and storage database module, the graph generation module configured to graphically output device operational parameters, water treatment sensing parameters, or/and statistical analysis results.
7. The cloud-based intelligent power saving system for water treatment industry of claim 1, wherein the cloud-based intelligent platform further comprises a monitoring alarm module connected to the data collection and storage database module for setting an upper monitoring limit/a lower monitoring limit for all types of equipment operation parameters, and performing alarm notification when the equipment operation parameters are determined to exceed the upper monitoring limit or the lower monitoring limit.
8. A cloud-based intelligent power saving system as claimed in claim 1, wherein the cloud-based platform further comprises an inspection module connected to the front-end application server module, the inspection module is configured to provide an inspection system interface, and a maintenance operator can log into the inspection system interface via an electronic device and check the maintenance operation according to the inspection system interface.
9. The cloud-based intelligent power saving system for water treatment industry as claimed in claim 1, wherein the water treatment plant can be a sewage treatment plant or a clean water treatment plant.
10. The cloud-based intelligent power saving system for water treatment industry of claim 1, wherein the power consuming electromechanical devices of the external device are a sewage inflow pump, a sewage circulation pump, a sludge reflux pump, a sewage discharge pump, a blender, a blower, a surface aerator, a clean water suction pump or a clean water pressurization pump.
11. The cloud-based intelligent power saving system for water treatment industry of claim 1, wherein the water treatment plant further comprises a control device, the control device is built with an operation interface, and the operation interface is used for setting the external device in the water treatment plant, so as to directly input a control command into the water treatment plant to control and adjust the external device.
12. The cloud-based intelligent power saving system for water treatment industry of claim 1, wherein the water treatment plant further comprises a backup programmable logic controller electrically connected to the main programmable logic controller, the backup programmable logic controller is configured to support the main programmable logic controller, and the main programmable logic controller is capable of automatically backup switching to the backup programmable logic controller when a failure occurs in the main programmable logic controller.
13. The cloud-based intelligent power saving system of claim 1, wherein the water treatment plant further comprises a monitoring and alarming module, the monitoring and alarming module is configured to monitor the operation status of the external device, the main programmable logic controller and the sensor module, and enable a standby device to be activated or perform alarming according to the operation status.
14. The cloud intelligent power saving system for water treatment industry of claim 1, wherein the frequency converter of the external device is a low voltage frequency converter or a medium voltage frequency converter.
15. The cloud-based intelligent power saving system for water treatment industry of claim 1, wherein the sensor module can be at least one of a liquid level sensor, a dissolved oxygen sensor, a suspended solids sensor, a ph sensor, a chemical oxygen demand sensor, a flow sensor, a pressure sensor, or a temperature sensor.
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