CN114552787B - Electric wire netting intelligent system based on big data acquisition - Google Patents
Electric wire netting intelligent system based on big data acquisition Download PDFInfo
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- CN114552787B CN114552787B CN202210208603.5A CN202210208603A CN114552787B CN 114552787 B CN114552787 B CN 114552787B CN 202210208603 A CN202210208603 A CN 202210208603A CN 114552787 B CN114552787 B CN 114552787B
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- 238000012545 processing Methods 0.000 claims abstract description 122
- 238000000034 method Methods 0.000 claims abstract description 11
- 238000012423 maintenance Methods 0.000 claims description 31
- 238000001514 detection method Methods 0.000 claims description 11
- 238000012544 monitoring process Methods 0.000 claims description 10
- 238000004891 communication Methods 0.000 claims description 9
- 238000006243 chemical reaction Methods 0.000 claims description 6
- 101150039326 PCK1 gene Proteins 0.000 claims description 3
- 230000002159 abnormal effect Effects 0.000 abstract description 2
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention provides a large data acquisition-based power grid intelligent system, which comprises an intelligent acquisition module, a processing module and an early warning module; the intelligent acquisition module comprises an electric power acquisition unit and an intelligent acquisition unit, wherein the electric power acquisition unit is used for acquiring electric meter data of an enterprise, and the intelligent acquisition unit is used for acquiring equipment current data of the enterprise; the processing module comprises a first data processing unit and a second data processing unit, wherein the first data processing unit is used for processing ammeter data of enterprises and outputting a first processing result; the second data processing unit controls the intelligent acquisition unit to operate based on the first processing result, and the method can obtain the power grid data result of abnormal operation of the enterprise by processing the power grid data of the enterprise so as to solve the problem that the power grid data is difficult to monitor in the conventional illegal operation process of the enterprise.
Description
Technical Field
The invention relates to the technical field of power grid data processing, in particular to a power grid intelligent system based on big data acquisition.
Background
Smart grids are the targets of the intelligent power grid, also called as "power grid 2.0", and are based on an integrated, high-speed two-way communication network, and the smart power grid is reliably, safely, economically, efficiently, environmentally friendly and safely used through application of advanced sensing and measuring technologies, advanced equipment technologies, advanced control methods and advanced decision support system technologies.
In the prior art, the condition of illegal operation can occur in the operation process of some enterprises, and as basic production elements of the enterprises, the power data can intuitively reflect the production activity condition of the enterprises, but in the prior art, the supervision of the enterprises is difficult to achieve by processing the power grid data of the enterprises, and in order to fully exert the supporting function of the power big data in the analysis and judgment of illegal production of shut-down enterprises, an intelligent power grid data processing method is needed to solve the problem.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention aims to provide a large data acquisition-based power grid intelligent system, which can obtain the power grid data result of abnormal operation of an enterprise by processing the power grid data of the enterprise so as to solve the problem that the power grid data is difficult to monitor in the conventional illegal operation process of the enterprise.
In order to achieve the above object, the present invention is realized by the following technical scheme: the intelligent system comprises an intelligent acquisition module, a processing module and an early warning module;
the intelligent acquisition module comprises an electric power acquisition unit and an intelligent acquisition unit, wherein the electric power acquisition unit is used for acquiring electric meter data of an enterprise, and the intelligent acquisition unit is used for acquiring equipment current data of the enterprise;
the processing module comprises a first data processing unit and a second data processing unit, wherein the first data processing unit is used for processing ammeter data of enterprises and outputting a first processing result; the second data processing unit controls the intelligent acquisition unit to operate based on the first processing result, processes the equipment current data of the enterprise acquired by the intelligent acquisition unit, and outputs a second processing result;
the early warning module comprises an early warning processing unit and a communication unit, and the early warning processing unit is used for processing the first processing result and the second processing result to obtain an early warning processing result; the communication unit is used for sending the early warning processing result to the maintenance end.
Further, the electric meter data of the enterprise obtained by the electric power collection unit comprises an enterprise historical daily electric meter value and an enterprise real-time daily electric meter value, and the equipment current data of the enterprise collected by the intelligent collection unit comprises a current value, a voltage value and a power value of equipment;
the first processing unit is configured with a first processing policy, the first processing policy comprising: substituting the historical daily ammeter value of the enterprise and the real-time daily ammeter value of the enterprise into a daily current comparison formula to obtain a first daily comparison value;
when the first daily contrast value is greater than or equal to a first contrast threshold value, outputting a first intelligent acquisition signal to an intelligent acquisition module;
outputting a second intelligent acquisition signal to the intelligent acquisition module when the first daily contrast value is larger than or equal to the second contrast threshold value and smaller than the first contrast threshold value;
outputting a daily current normal signal when the first daily comparison value is smaller than the second comparison threshold value; wherein the first contrast threshold is greater than the second contrast threshold;
the daily current comparison formula is configured as follows:wherein Pb1 is the first daily comparison value, ds is the real-time daily electric meter value of the enterprise, dl is the historical daily electric meter value of the enterprise, and a1 is the daily electric meter comparison compensation coefficient of the enterprise.
Further, the second processing unit is configured with a first detection processing policy, the first detection processing policy comprising: when a first intelligent acquisition signal is acquired, acquiring a device current value, a voltage value and a power value of an enterprise through an intelligent acquisition unit at each first time interval, and substituting the acquired current value, voltage value and power value data of first comparison times into a first device comparison formula to obtain a first device reference value;
and outputting the first equipment reference value to the early warning module.
Further, the first device comparison formula is configured to:
wherein Pck1 is the first equipment parameterThe reference value, i, represents the number of first comparison times, dl1 is the current value of the first time acquired in the first comparison times, dli is the current value of the ith time acquired in the first comparison times, dy1 is the voltage value of the first time acquired in the first comparison times, dyi is the voltage value of the ith time acquired in the first comparison times, gl1 is the power value of the first time acquired in the first comparison times, gli is the power value of the ith time acquired in the first comparison times, alpha is the history reference value of the device, b1 is the current coefficient, b2 is the voltage coefficient, and b3 is the power coefficient.
Further, the early warning module is configured with a first early warning strategy, and the first early warning strategy comprises: substituting the first daily comparison value and the first equipment reference value into a first early warning formula to obtain a first early warning reference value;
outputting a device closing signal to a maintenance end when the first early warning reference value is larger than or equal to a first early warning threshold value;
outputting a maintenance checking signal to a maintenance end when the first early warning reference value is larger than or equal to the second early warning threshold value and smaller than the first early warning threshold value;
and outputting a continuous monitoring signal to the maintenance end when the first early warning reference value is smaller than the second early warning threshold value.
Further, the first warning formula is configured to:wherein Pyc is a first warning reference value, c1 is a first daily comparison conversion coefficient, and c2 is a first device reference conversion coefficient.
Further, the second processing unit is further configured with a second detection processing policy, the second detection processing policy comprising: when a second intelligent acquisition signal is acquired, acquiring a device current value, a voltage value and a power value of an enterprise through an intelligent acquisition unit every second time, and substituting the acquired current value, voltage value and power value data of second comparison times into a second device comparison formula to obtain a second device reference value;
and outputting the second equipment reference value to the early warning module.
Further, the second device comparison formula is configured to:
wherein Pck2 is a second device reference value, dl21 is a first current value obtained in a second comparison number, dl2j is a j-th current value obtained in the second comparison number, gl21 is a first power value obtained in the second comparison number, gl2j is a j-th power value obtained in the second comparison number.
Further, the early warning module is further configured with a second early warning strategy, where the second early warning strategy includes: substituting the first daily comparison value and the second equipment reference value into a second early warning formula to obtain a second early warning reference value;
outputting a device closing signal to a maintenance end when the second early warning reference value is larger than or equal to the first early warning threshold value;
outputting a maintenance checking signal to a maintenance end when the second early warning reference value is larger than or equal to the second early warning threshold value and smaller than the first early warning threshold value;
and outputting a continuous monitoring signal to the maintenance end when the second early warning reference value is smaller than the second early warning threshold value.
Further, the second warning formula is configured to:wherein Pyc is a second warning reference value.
The invention has the beneficial effects that: according to the invention, the electric meter data of the enterprise and the equipment current data of the enterprise can be respectively obtained through the electric power acquisition unit and the intelligent acquisition unit in the intelligent acquisition module; processing the ammeter data of the enterprise through a first data processing unit of the processing module, and outputting a first processing result; controlling the intelligent acquisition unit to operate based on the first processing result through the second data processing unit, processing the equipment current data of the enterprise acquired by the intelligent acquisition unit, and outputting a second processing result; finally, the early warning processing unit of the early warning module is used for processing the first processing result and the second processing result to obtain an early warning processing result; the communication unit is used for sending the early warning processing result to the maintenance end; the method can achieve the function of power consumption supervision of the enterprise by processing the power grid power consumption data of the enterprise, thereby improving the function of effectively supervising the illegal operation of the enterprise.
Drawings
Other features, objects and advantages of the present invention will become more apparent upon reading of the detailed description of non-limiting embodiments, given with reference to the accompanying drawings in which:
FIG. 1 is a schematic block diagram of the connection between an intelligent system and a maintenance terminal of the present invention;
fig. 2 is a schematic block diagram of the connection between a module and a maintenance terminal according to the present invention.
Detailed Description
The invention is further described in connection with the following detailed description, in order to make the technical means, the creation characteristics, the achievement of the purpose and the effect of the invention easy to understand.
Referring to fig. 1, the intelligent system for the power grid based on big data acquisition comprises an intelligent acquisition module, a processing module and an early warning module, wherein the intelligent acquisition module can acquire power grid data of an enterprise, the power grid data of the enterprise can be processed through the processing module, and the judgment can be carried out through the early warning module, so that the management of the enterprise can be monitored based on the power grid data of the enterprise.
Referring to fig. 2, the intelligent acquisition module includes an electric power acquisition unit and an intelligent acquisition unit, wherein the electric power acquisition unit is used for acquiring electric meter data of an enterprise, and the intelligent acquisition unit is used for acquiring equipment current data of the enterprise; the ammeter data are used for carrying out overall monitoring on enterprises, and the equipment current data are used for carrying out accurate monitoring of single equipment when the overall monitoring is problematic.
The processing module comprises a first data processing unit and a second data processing unit, wherein the first data processing unit is used for processing ammeter data of enterprises and outputting a first processing result; the second data processing unit controls the intelligent acquisition unit to operate based on the first processing result, processes the equipment current data of the enterprise acquired by the intelligent acquisition unit, outputs a second processing result, processes the whole ammeter data through the first data processing unit, and starts the second data processing unit to accurately monitor a certain equipment when the whole ammeter has a problem.
The early warning module comprises an early warning processing unit and a communication unit, and the early warning processing unit is used for processing the first processing result and the second processing result to obtain an early warning processing result; the communication unit is used for sending the early warning processing result to the maintenance end.
The electric meter data of the enterprise, which are acquired by the electric power acquisition unit, comprise historical daily electric meter values of the enterprise and real-time daily electric meter values of the enterprise, and the equipment current data of the enterprise, which are acquired by the intelligent acquisition unit, comprise current values, voltage values and power values of equipment; the operation state of the device can be accurately reflected through the current value, the voltage value and the power value.
The first processing unit is configured with a first processing policy, the first processing policy comprising: substituting the historical daily ammeter value of the enterprise and the real-time daily ammeter value of the enterprise into a daily current comparison formula to obtain a first daily comparison value; when the first daily contrast value is greater than or equal to a first contrast threshold value, outputting a first intelligent acquisition signal to an intelligent acquisition module; outputting a second intelligent acquisition signal to the intelligent acquisition module when the first daily contrast value is larger than or equal to the second contrast threshold value and smaller than the first contrast threshold value; outputting a daily current normal signal when the first daily comparison value is smaller than the second comparison threshold value; wherein the first contrast threshold is greater than the second contrast threshold.
The daily current comparison formula is configured as follows:pb1 is a first daily comparison value, ds is an enterprise real-time daily electricity meter value, dl is an enterprise historical daily electricity meter value, a1 is an enterprise daily electricity meter comparison compensation coefficient, and a1 is set based on the whole operation scale of the enterprise and can be adjusted according to actual conditions.
The second processing unit is configured with a first detection processing policy, the first detection processing policy comprising: when a first intelligent acquisition signal is acquired, acquiring a device current value, a voltage value and a power value of an enterprise through an intelligent acquisition unit at each first time interval, and substituting the acquired current value, voltage value and power value data of first comparison times into a first device comparison formula to obtain a first device reference value; and outputting the first equipment reference value to the early warning module. The first time is less than the second time, and the emergency degree of the first intelligent acquisition signal is also greater than that of the second intelligent acquisition signal.
The first device comparison formula is configured to:
wherein Pck1 is a first device reference value, i represents the number of first comparison times, dl1 is a first current value obtained in the first comparison times, dli is an ith current value obtained in the first comparison times, dy1 is a first voltage value obtained in the first comparison times, dyi is an ith voltage value obtained in the first comparison times, gl1 is a first power value obtained in the first comparison times, gli is an ith power value obtained in the first comparison times, α is a historical reference value of the device, b1 is a current coefficient, b2 is a voltage coefficient, b3 is a power coefficient, b1, b2 and b3 are respectively greater than zero, and i represents a first comparison times greater than j represents a second comparison times.
The early warning module is configured with a first early warning strategy, and the first early warning strategy comprises: substituting the first daily comparison value and the first equipment reference value into a first early warning formula to obtain a first early warning reference value; outputting a device closing signal to a maintenance end when the first early warning reference value is larger than or equal to a first early warning threshold value; outputting a maintenance checking signal to a maintenance end when the first early warning reference value is larger than or equal to the second early warning threshold value and smaller than the first early warning threshold value; and outputting a continuous monitoring signal to the maintenance end when the first early warning reference value is smaller than the second early warning threshold value.
The first early warning formula is matchedThe method comprises the following steps:wherein Pyc is a first warning reference value, c1 is a first daily comparison conversion coefficient, c2 is a first equipment reference conversion coefficient, wherein both c1 and c2 are greater than zero, and the values of c1 and c2 refer to the first daily comparison value and the duty ratio weight of the first equipment reference value.
The second processing unit is further configured with a second detection processing policy, the second detection processing policy comprising: when a second intelligent acquisition signal is acquired, acquiring a device current value, a voltage value and a power value of an enterprise through an intelligent acquisition unit every second time, and substituting the acquired current value, voltage value and power value data of second comparison times into a second device comparison formula to obtain a second device reference value; and outputting the second equipment reference value to the early warning module.
The second device comparison formula is configured to:
wherein Pck2 is a second device reference value, dl21 is a first current value obtained in a second comparison number, dl2j is a j-th current value obtained in the second comparison number, gl21 is a first power value obtained in the second comparison number, gl2j is a j-th power value obtained in the second comparison number.
The early warning module is further configured with a second early warning strategy, and the second early warning strategy comprises: substituting the first daily comparison value and the second equipment reference value into a second early warning formula to obtain a second early warning reference value; outputting a device closing signal to a maintenance end when the second early warning reference value is larger than or equal to the first early warning threshold value; outputting a maintenance checking signal to a maintenance end when the second early warning reference value is larger than or equal to the second early warning threshold value and smaller than the first early warning threshold value; and outputting a continuous monitoring signal to the maintenance end when the second early warning reference value is smaller than the second early warning threshold value.
The second early warning formula is configured to:wherein Pyc is a second warning reference value.
Working principle: according to the invention, the electric meter data of the enterprise and the equipment current data of the enterprise can be respectively obtained through the electric power acquisition unit and the intelligent acquisition unit in the intelligent acquisition module; processing the ammeter data of the enterprise through a first data processing unit of the processing module, and outputting a first processing result; controlling the intelligent acquisition unit to operate based on the first processing result through the second data processing unit, processing the equipment current data of the enterprise acquired by the intelligent acquisition unit, and outputting a second processing result; finally, the early warning processing unit of the early warning module is used for processing the first processing result and the second processing result to obtain an early warning processing result; and the communication unit is used for sending the early warning processing result to the maintenance end, and can achieve the effect of monitoring the power consumption operation of the enterprise through the power grid data of the enterprise.
Finally, it should be noted that: the above examples are only specific embodiments of the present invention, and are not intended to limit the scope of the present invention, but it should be understood by those skilled in the art that the present invention is not limited thereto, and that the present invention is described in detail with reference to the foregoing examples: any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or perform equivalent substitution of some of the technical features, while remaining within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (1)
1. The intelligent system of the power grid based on big data acquisition is characterized by comprising an intelligent acquisition module, a processing module and an early warning module;
the intelligent acquisition module comprises an electric power acquisition unit and an intelligent acquisition unit, wherein the electric power acquisition unit is used for acquiring electric meter data of an enterprise, and the intelligent acquisition unit is used for acquiring equipment current data of the enterprise;
the processing module comprises a first data processing unit and a second data processing unit, wherein the first data processing unit is used for processing ammeter data of enterprises and outputting a first processing result; the second data processing unit controls the intelligent acquisition unit to operate based on the first processing result, processes the equipment current data of the enterprise acquired by the intelligent acquisition unit, and outputs a second processing result;
the early warning module comprises an early warning processing unit and a communication unit, and the early warning processing unit is used for processing the first processing result and the second processing result to obtain an early warning processing result; the communication unit is used for sending the early warning processing result to the maintenance end;
the electric meter data of the enterprise, which are acquired by the electric power acquisition unit, comprise historical daily electric meter values of the enterprise and real-time daily electric meter values of the enterprise, and the equipment current data of the enterprise, which are acquired by the intelligent acquisition unit, comprise current values, voltage values and power values of equipment;
the first data processing unit is configured with a first processing policy, the first processing policy comprising: substituting the historical daily ammeter value of the enterprise and the real-time daily ammeter value of the enterprise into a daily current comparison formula to obtain a first daily comparison value;
when the first daily contrast value is greater than or equal to a first contrast threshold value, outputting a first intelligent acquisition signal to an intelligent acquisition module;
outputting a second intelligent acquisition signal to the intelligent acquisition module when the first daily contrast value is larger than or equal to the second contrast threshold value and smaller than the first contrast threshold value;
outputting a daily current normal signal when the first daily comparison value is smaller than the second comparison threshold value; wherein the first contrast threshold is greater than the second contrast threshold;
the daily current comparison formula is configured as follows:wherein Pb1 is the first daily comparison value, ds is the real-time daily electric meter value of the enterprise, dl is the historical daily electric meter value of the enterprise, and a1 is the daily electric meter comparison compensation coefficient of the enterprise;
the second data processing unit is configured with a first detection processing policy comprising: when a first intelligent acquisition signal is acquired, acquiring a device current value, a voltage value and a power value of an enterprise through an intelligent acquisition unit at each first time interval, and substituting the acquired current value, voltage value and power value data of first comparison times into a first device comparison formula to obtain a first device reference value;
outputting a first equipment reference value to an early warning module;
the first device comparison formula is configured to:
wherein Pck1 is a first device reference value, i represents the number of first comparison times, dl1 is a first current value obtained in the first comparison times, dl i is an ith current value obtained in the first comparison times, dy1 is a first voltage value obtained in the first comparison times, dyi is an ith voltage value obtained in the first comparison times, gl1 is a first power value obtained in the first comparison times, gli is an ith power value obtained in the first comparison times, α is a historical reference value of the device, b1 is a current coefficient, b2 is a voltage coefficient, b3 is a power coefficient, wherein b1, b2 and b3 are respectively greater than zero;
the early warning module is configured with a first early warning strategy, and the first early warning strategy comprises: substituting the first daily comparison value and the first equipment reference value into a first early warning formula to obtain a first early warning reference value;
outputting a device closing signal to a maintenance end when the first early warning reference value is larger than or equal to a first early warning threshold value;
outputting a maintenance checking signal to a maintenance end when the first early warning reference value is larger than or equal to the second early warning threshold value and smaller than the first early warning threshold value;
outputting a continuous monitoring signal to a maintenance end when the first early warning reference value is smaller than the second early warning threshold value; the first early warning formula is configured as follows:wherein Pyc is a first warning reference value, c1 is a first daily comparison conversion coefficient, and c2 is a first equipment reference conversion coefficient;
the second data processing unit is further configured with a second detection processing policy, the second detection processing policy comprising: when a second intelligent acquisition signal is acquired, acquiring a device current value, a voltage value and a power value of an enterprise through an intelligent acquisition unit every second time, and substituting the acquired current value, voltage value and power value data of second comparison times into a second device comparison formula to obtain a second device reference value, wherein the first time is smaller than the second time;
outputting a second equipment reference value to an early warning module;
the second device comparison formula is configured to:
wherein Pck2 is a second device reference value, dl21 is a first current value obtained in a second comparison frequency, dl2j is a j-th current value obtained in the second comparison frequency, gl21 is a first power value obtained in the second comparison frequency, gl2j is a j-th power value obtained in the second comparison frequency, and i represents a first comparison frequency greater than j represents a second comparison frequency; the early warning module is further configured with a second early warning strategy, and the second early warning strategy comprises: substituting the first daily comparison value and the second equipment reference value into a second early warning formula to obtain a second early warning reference value;
outputting a device closing signal to a maintenance end when the second early warning reference value is larger than or equal to the first early warning threshold value;
outputting a maintenance checking signal to a maintenance end when the second early warning reference value is larger than or equal to the second early warning threshold value and smaller than the first early warning threshold value;
outputting a continuous monitoring signal to a maintenance end when the second early warning reference value is smaller than a second early warning threshold value;
the second early warning formula is configured to:wherein Pyc is a second warning reference value.
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