CN114172272A - Energy-saving multi-load power distribution cabinet debugging method - Google Patents
Energy-saving multi-load power distribution cabinet debugging method Download PDFInfo
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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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- 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
- H02J13/00006—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 information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
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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
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
- H02J13/00036—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving switches, relays or circuit breakers
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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
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
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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
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
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Abstract
The invention discloses an energy-saving multi-load power distribution cabinet debugging method, which relates to the technical field of power distribution cabinets and comprises the following steps: the detection sensor is used for detecting the current working parameter information of the multi-load power distribution cabinet corresponding to the detection sensor and sending the current working parameter information to the server, the server packages the received data and analyzes the processing priority value of the data packet, and then the data packet is transmitted to the processing terminal in sequence, so that the data processing efficiency is improved; the processing terminal intelligently identifies the power distribution cabinet with a high risk coefficient according to the risk coefficient, and plays roles of early warning and active defense on key inspection; then, the content of the data packet is analyzed, the loss value of the power distribution cabinet is analyzed, and whether the power distribution cabinet needs to be overhauled and debugged or not is judged, so that the power utilization safety is improved; the server is also used for analyzing the temperature threat value of the power distribution cabinet by combining the temperature of the power distribution cabinet and the real-time environment temperature so as to remind a manager, and the phenomenon that the circuit is damaged and can not work normally due to the fact that the circuit is aged in advance or even melted is avoided.
Description
Technical Field
The invention relates to the technical field of power distribution cabinets, in particular to an energy-saving multi-load power distribution cabinet debugging method.
Background
The power distribution cabinet is divided into a power distribution cabinet, a lighting distribution cabinet and a metering cabinet and is the final-stage equipment of the power distribution system; the power distribution cabinet is uniformly configured in the motor control center, wherein the power distribution cabinet is used in the occasions with dispersed loads and less loops; the motor control center is used for the occasions with concentrated loads and more loops, and distributes the electric energy of a certain circuit of the upper-level distribution equipment to the nearby loads, and the upper-level distribution equipment provides protection, monitoring and control for the loads;
in the prior art, an energy-saving power distribution cabinet is very sensitive to ambient temperature, and high temperature easily causes great damage such as advanced line aging, even melting and the like to the energy-saving power distribution cabinet, so that a circuit is damaged and cannot work normally; and in the debugging process of the power distribution cabinet, the high-risk power distribution cabinet cannot be intelligently identified, and the power distribution cabinet is mainly patrolled to play the roles of early warning and active defense in advance.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides an energy-saving multi-load power distribution cabinet debugging method.
In order to achieve the above object, an embodiment according to a first aspect of the present invention provides an energy-saving multi-load power distribution cabinet debugging method, where each multi-load power distribution cabinet is provided with a corresponding detection sensor, and the detection sensors and a server are connected in a distributed manner through nodes of an internet of things, including the following steps:
the method comprises the following steps: the detection sensor is used for detecting the current working parameter information of the multi-load power distribution cabinet corresponding to the detection sensor and sending the current working parameter information to the server;
step two: the server is used for packaging the received data, analyzing the processing priority value of the data packet and sequentially transmitting the corresponding data packet to the processing terminal according to the processing priority value YC;
step three: in response to the received data packet, the processing terminal determines that the risk coefficient of the power distribution cabinet corresponding to the data packet is FC, and determines that the loss threshold of the corresponding power distribution cabinet is SH according to the risk coefficient FC;
comparing the risk factor FC to a risk threshold; if the FC is larger than the risk threshold, marking the corresponding power distribution cabinet as a key cabinet, and sending reminding information containing the key cabinet to the associated mobile terminal so as to remind a manager of the mobile terminal to carry out enhanced patrol on the key cabinet;
step four: the processing terminal is used for analyzing the data packet content and analyzing the loss value of the power distribution cabinet; and if the loss value Sz is larger than the corresponding loss threshold value SH, generating an early warning signal to remind a manager of the mobile terminal to overhaul and debug the power distribution cabinet.
Further, the specific process of analyzing the processing priority value of the data packet in the step two is as follows:
packing the working parameter information of the same power distribution cabinet into a data packet; acquiring a debugging record of a corresponding power distribution cabinet, wherein the debugging record comprises debugging time and debugging level; the debugging level is expressed as the fault problem level of the power distribution cabinet, and is uploaded to the server after the debugging personnel completes the maintenance;
counting the debugging times of the corresponding power distribution cabinet as C1, and counting the times that the debugging interval GTi is smaller than the interval threshold as C2; when the GTi is smaller than the interval threshold, summing the difference between the GTi and the interval threshold to obtain a difference value CT; calculating a difference coefficient Cg by using a formula Cg-C2 × a1+ CT × a2, wherein a1 and a2 are both scale factors;
counting the number of times that the debugging level Di is greater than the level threshold value as P1; when Di is larger than the grade threshold, obtaining the difference value between Di and the grade threshold and summing to obtain an excess total value CZ; calculating an excess coefficient Cd by using a formula of Cd being P1 × a3+ CZ × a4, wherein a3 and a4 are both proportional factors;
calculating a risk coefficient FX of the corresponding power distribution cabinet by using a formula FX (C1 × b1+ Cg × b2+ Cd × b3)/HT, wherein b1, b2 and b3 are coefficient factors, and HT is the buffer duration of the latest debugging time to the present;
the data size of the current packet is marked as D1 using the formula
Calculating to obtain dataA processing priority value YC of the packet; wherein b4 and b5 are coefficient factors.
Further, determining the loss threshold of the corresponding power distribution cabinet as SH according to the risk coefficient FC, specifically: a mapping relation table of risk coefficient intervals and loss thresholds is prestored in the database, the risk coefficient interval in which the risk coefficient FC is located in the mapping relation table is determined firstly, and then the corresponding loss threshold is obtained as SH according to the risk coefficient interval.
Further, the specific process of analyzing the loss value of the power distribution cabinet is as follows:
firstly, analyzing the content of a data packet, and comparing each working parameter with a safety criterion which is stored in a database and corresponds to the power distribution cabinet at the same moment to obtain a data difference value of each working parameter;
acquiring a data difference value of each working parameter larger than zero, and calculating a comprehensive influence coefficient corresponding to the work of the power distribution cabinet by combining the influence factors of each working parameter stored in the database on the work of the power distribution cabinet;
establishing a curve graph of the change of the comprehensive influence coefficient along with time; if the comprehensive influence coefficient is larger than or equal to the influence coefficient threshold value, intercepting the corresponding curve segment in the corresponding curve graph, marking the curve segment as red and marking the curve segment as a loss curve segment; and counting the number of the loss curve segments to be Q1, integrating all the loss curve segments with time and summing to obtain loss reference energy Q2, and calculating by using Sz-Q1 × g1+ Q2 × g2 to obtain a loss value Sz of the corresponding power distribution cabinet, wherein g1 and g2 are coefficient factors.
Further, if a certain working parameter is within the range of the safety criterion, the corresponding data difference value is equal to zero; the data difference value comprises a noise decibel difference value, a vibration difference value, a temperature difference value, a load voltage difference value, a load current difference value and a unit energy consumption difference value.
Further, wherein the detection sensors include a voltage sensor, a current sensor, a vibration sensor, a temperature sensor, a sound sensor, and an energy consumption sensor; the temperature sensor is also used for detecting the real-time environment temperature and sending the real-time environment temperature to the server.
Furthermore, the server is also used for analyzing the temperature threat value of the power distribution cabinet by combining the temperature of the power distribution cabinet and the real-time environment temperature; and if the temperature threat value Lz is larger than the threat threshold value, generating a temperature threat signal to remind a manager of the mobile terminal to overhaul and update the line of the power distribution cabinet.
Further, the specific analysis process of the temperature threat value is as follows:
using formulas
Calculating to obtain a temperature influence coefficient H1, wherein lambda is a balance factor, T0 is a temperature threshold value, T1 is the temperature of the power distribution cabinet, and T2 is the real-time environment temperature;
establishing a curve graph of the temperature influence coefficient H1 changing along with time, if H1 is larger than the temperature coefficient threshold value, intercepting a corresponding curve segment in the corresponding curve graph, marking the curve segment as yellow, and marking the curve segment as a threat curve segment;
the number of the threat curve segments is counted to be L1, all the threat curve segments are integrated with time and summed to obtain threat reference energy L2, and a temperature threat value Lz of the corresponding power distribution cabinet is obtained by utilizing Lz-L1 × g3+ L2 × g4, wherein g3 and g4 are coefficient factors.
Compared with the prior art, the invention has the beneficial effects that:
1. the server is used for packaging the received data, analyzing the processing priority value of the data packet, acquiring a debugging record of the corresponding power distribution cabinet, evaluating a risk coefficient of the power distribution cabinet, calculating the processing priority value YC of the data packet by combining the size of the current data packet, sorting the data packet in a descending order according to the size of the processing priority value YC, and transmitting the corresponding data packet to the processing terminal in sequence according to the sorting of the data packet for analysis processing, so that the data processing efficiency is improved; meanwhile, the power distribution cabinet with a high risk coefficient is intelligently identified, and the power distribution cabinet is mainly patrolled to play the roles of early warning and active defense;
2. the processing terminal is used for analyzing the content of the data packet, integrating the analyzed working parameter information, comparing each working parameter with the safety criterion stored in the database and corresponding to the power distribution cabinet at the same moment to obtain the data difference value of each working parameter, calculating the comprehensive influence coefficient of the work of the corresponding power distribution cabinet by combining the influence factor of each working parameter stored in the database on the work of the power distribution cabinet, establishing a curve graph of the comprehensive influence coefficient changing along with time, analyzing the loss value of the power distribution cabinet, and judging whether the power distribution cabinet needs to be debugged so as to improve the electricity utilization safety;
3. the server is also used for analyzing the temperature threat value of the power distribution cabinet by combining the temperature of the power distribution cabinet and the real-time environment temperature, establishing a time-varying curve chart of a temperature influence coefficient H1, comparing the temperature influence coefficient H1 with a temperature coefficient threshold value, evaluating the temperature threat value, and generating a temperature threat signal if Lz is greater than the threat threshold value so as to remind a manager of the mobile terminal to overhaul and update the line of the power distribution cabinet; the circuit is prevented from being aged in advance and even being melted to damage the circuit so as not to work normally.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic block diagram of a debugging method of an energy-saving multi-load power distribution cabinet according to the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood 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.
As shown in fig. 1, in an energy-saving multi-load power distribution cabinet debugging method, each multi-load power distribution cabinet is provided with a corresponding detection sensor, and the detection sensors are connected with a server in a distributed manner through nodes of the internet of things, the debugging method includes the following steps:
the method comprises the following steps: the detection sensor is used for detecting the current working parameter information of the multi-load power distribution cabinet corresponding to the detection sensor and sending the current working parameter information to the server;
the detection sensor comprises a voltage sensor, a current sensor, a vibration sensor, a temperature sensor, a sound sensor and an energy consumption sensor; the sound sensor is used for detecting a noise decibel value in the operation process of the multi-load power distribution cabinet; the energy consumption sensor is used for detecting energy consumption information per unit time in the operation process of the multi-load power distribution cabinet; the current working parameter information comprises load voltage, load current, vibration information, temperature information, noise decibel value and unit energy consumption information in the operation process of the multi-load power distribution cabinet;
step two: the server is used for packaging the received data, analyzing the processing priority value of the data packet and sequentially transmitting the corresponding data packet to the processing terminal according to the processing priority value YC; the method specifically comprises the following steps:
packing the working parameter information of the same power distribution cabinet into a data packet;
acquiring a debugging record of a corresponding power distribution cabinet, wherein the debugging record comprises debugging time and debugging level; the debugging level is expressed as the fault problem level of the power distribution cabinet, and is uploaded to the server after the debugging personnel completes the maintenance; the higher the fault problem level is, the more serious the fault problem is;
counting the debugging times of the corresponding power distribution cabinet to be C1, sequencing all debugging moments according to time sequence, and calculating the time difference of adjacent debugging moments to obtain a debugging interval GTi;
comparing the debugging interval GTi with an interval threshold, counting the times that the GTi is smaller than the interval threshold as C2, and when the GTi is smaller than the interval threshold, obtaining the difference value between the GTi and the interval threshold and summing the difference value to obtain a difference value CT; calculating a difference coefficient Cg by using a formula Cg-C2 × a1+ CT × a2, wherein a1 and a2 are both scale factors;
marking the debugging level of each debugging of the corresponding power distribution cabinet as Di, and comparing the Di with a level threshold; counting the number of times that Di is larger than the grade threshold value as P1, and when Di is larger than the grade threshold value, obtaining the difference between Di and the grade threshold value and summing to obtain an excess total value CZ; calculating an excess coefficient Cd by using a formula of Cd being P1 × a3+ CZ × a4, wherein a3 and a4 are both proportional factors;
calculating the time difference between the latest debugging time and the current time of the system to obtain a buffer duration HT; carrying out normalization processing on the debugging times, the difference coefficient, the super-equal coefficient and the buffering time length and taking the numerical values of the debugging times, the difference coefficient, the super-equal coefficient and the buffering time length; calculating a risk coefficient FX of the corresponding power distribution cabinet by using a formula FX (C1 × b1+ Cg × b2+ Cd × b3)/HT, wherein b1, b2 and b3 are coefficient factors, and the higher the risk coefficient FX is, the higher the possibility of the power distribution cabinet failing is;
the data size of the current packet is marked as D1 using the formula
Calculating to obtain a processing priority value YC of the data packet; wherein b4 and b5 are coefficient factors;
the server is used for sorting the data packets in a descending order according to the processing priority value YC, and transmitting the corresponding data packets to the processing terminal in sequence according to the sorting of the data packets for analysis and processing, so that the data processing is more hierarchical and orderly, and the data processing efficiency is improved;
step three: responding to the received data packet, determining the risk coefficient of the power distribution cabinet corresponding to the data packet to be FC by the processing terminal, and determining the loss threshold of the corresponding power distribution cabinet to be SH according to the risk coefficient FC, specifically:
a mapping relation table of risk coefficient intervals and loss thresholds is prestored in the database, firstly, the risk coefficient interval in which the risk coefficient FC is positioned in the mapping relation table is determined, and then, the corresponding loss threshold is obtained as SH according to the risk coefficient interval;
comparing the risk factor FC to a risk threshold; if the FC is larger than the risk threshold, marking the corresponding power distribution cabinet as a key cabinet, and sending reminding information containing the key cabinet to the associated mobile terminal so as to remind a manager of the mobile terminal to carry out enhanced patrol on the key cabinet, thereby realizing the functions of early warning and active defense;
step four: the processing terminal is used for analyzing the data packet content, analyzing the loss value of the power distribution cabinet and judging whether the power distribution cabinet needs to be debugged, and the specific analysis steps are as follows:
firstly, analyzing the content of a data packet, integrating the analyzed working parameter information, and establishing a curve graph of each working parameter changing along with time; aiming at the same moment, comparing each working parameter with a safety criterion which is stored in a database and corresponds to the power distribution cabinet to obtain a data difference value of each working parameter;
if a certain working parameter is within the safety criterion range, the corresponding data difference value is equal to zero, and the current value of the corresponding working parameter does not influence the normal work of the power distribution cabinet; the data difference value comprises a noise decibel difference value, a vibration difference value, a temperature difference value, a load voltage difference value, a load current difference value and a unit energy consumption difference value;
acquiring a data difference value of each working parameter larger than zero, and calculating a comprehensive influence coefficient corresponding to the work of the power distribution cabinet by combining the influence factors of each working parameter stored in the database on the work of the power distribution cabinet;
establishing a curve graph of the change of the comprehensive influence coefficient of the work of the corresponding power distribution cabinet along with time, comparing the comprehensive influence coefficient with an influence coefficient threshold, and if the comprehensive influence coefficient is more than or equal to the influence coefficient threshold, intercepting a corresponding curve segment from the corresponding curve graph, marking the curve segment as red and marking the curve segment as a loss curve segment;
counting the number of the loss curve segments to be Q1, integrating all the loss curve segments with time and summing to obtain loss reference energy Q2, and calculating by using Sz-Q1 × g1+ Q2 × g2 to obtain a loss value Sz of the corresponding power distribution cabinet, wherein g1 and g2 are coefficient factors;
and comparing the loss value Sz with the corresponding loss threshold value SH, and if the loss value Sz is greater than the corresponding loss threshold value SH, generating an early warning signal to remind a manager of the mobile terminal to overhaul and debug the power distribution cabinet, so that the power utilization safety is improved.
In this embodiment, the temperature sensor is further configured to detect a real-time environment temperature, and send the real-time environment temperature to the server; the server combines the temperature of the power distribution cabinet and the real-time environment temperature to analyze the temperature threat value of the power distribution cabinet, and the specific process is as follows:
marking the temperature of the power distribution cabinet as T1, and marking the real-time environment temperature as T2;
using formulas
Calculating to obtain a temperature influence coefficient H1, wherein lambda is a balance factor, and T0 is a temperature threshold;
establishing a curve graph of the temperature influence coefficient H1 changing along with time, comparing the temperature influence coefficient H1 with a temperature coefficient threshold, if H1 is larger than the temperature coefficient threshold, intercepting a corresponding curve segment in the corresponding curve graph, marking the curve segment as yellow and marking the curve segment as a threat curve segment;
counting the number of threat curve segments to be L1, integrating all threat curve segments with time and summing to obtain threat reference energy L2, and calculating by using Lz (L1 × g3+ L2 × g 4) to obtain a temperature threat value Lz of the corresponding power distribution cabinet, wherein g3 and g4 are coefficient factors;
compare temperature threat value Lz and threat threshold value, if Lz is greater than the threat threshold value, then generate temperature threat signal to remind mobile terminal's managers to overhaul the circuit of this switch board and update, avoid the circuit to age in advance, even melt and lead to the circuit to suffer destruction and can not carry out normal work.
The above formulas are all calculated by removing dimensions and taking numerical values thereof, the formula is a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the closest real situation, and the preset parameters and the preset threshold value in the formula are set by the technical personnel in the field according to the actual situation or obtained by simulating a large amount of data.
The working principle of the invention is as follows:
when the debugging method of the energy-saving multi-load power distribution cabinet works, the detection sensor is used for detecting the current working parameter information of the multi-load power distribution cabinet corresponding to the detection sensor and sending the current working parameter information to a server; the server is used for packaging the received data, analyzing the processing priority value of the data packet, acquiring a debugging record of the corresponding power distribution cabinet, evaluating a risk coefficient of the power distribution cabinet, calculating the processing priority value YC of the data packet by combining the size of the current data packet, sorting the data packet in a descending order according to the size of the processing priority value YC, transmitting the corresponding data packet to the processing terminal in sequence according to the sorting of the data packet for analysis processing, and improving the data processing efficiency; meanwhile, the power distribution cabinet with a high risk coefficient is intelligently identified, and the power distribution cabinet is mainly patrolled to play the roles of early warning and active defense;
the processing terminal is used for analyzing the content of the data packet, integrating the analyzed working parameter information, comparing each working parameter with a safety criterion which is stored in the database and corresponds to the power distribution cabinet at the same moment to obtain a data difference value of each working parameter, calculating a comprehensive influence coefficient of the work of the corresponding power distribution cabinet by combining the influence factor of each working parameter stored in the database on the work of the power distribution cabinet, establishing a curve graph of the comprehensive influence coefficient changing along with time, analyzing the loss value of the power distribution cabinet, and judging whether the power distribution cabinet needs to be debugged so as to improve the electricity utilization safety; meanwhile, the server is also used for analyzing the temperature threat value of the power distribution cabinet by combining the temperature of the power distribution cabinet and the real-time environment temperature, establishing a curve graph of the temperature influence coefficient H1 changing along with time, comparing the temperature influence coefficient H1 with a temperature coefficient threshold value, evaluating the temperature threat value, and if Lz is larger than the threat threshold value, generating a temperature threat signal to remind a manager of the mobile terminal to overhaul and update the line of the power distribution cabinet; the circuit is prevented from being aged in advance and even being melted to damage the circuit so as not to work normally.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (8)
1. The energy-saving multi-load power distribution cabinet debugging method is characterized by comprising the following steps of:
the method comprises the following steps: the detection sensor is used for detecting the current working parameter information of the multi-load power distribution cabinet corresponding to the detection sensor and sending the current working parameter information to the server;
step two: the server is used for packaging the received data, analyzing the processing priority value of the data packet and sequentially transmitting the corresponding data packet to the processing terminal according to the processing priority value YC;
step three: in response to the received data packet, the processing terminal determines that the risk coefficient of the power distribution cabinet corresponding to the data packet is FC, and determines that the loss threshold of the corresponding power distribution cabinet is SH according to the risk coefficient FC;
comparing the risk factor FC to a risk threshold; if the FC is larger than the risk threshold, marking the corresponding power distribution cabinet as a key cabinet, and sending reminding information containing the key cabinet to the associated mobile terminal so as to remind a manager of the mobile terminal to carry out enhanced patrol on the key cabinet;
step four: the processing terminal is used for analyzing the data packet content and analyzing the loss value of the power distribution cabinet; and if the loss value Sz is larger than the corresponding loss threshold value SH, generating an early warning signal to remind a manager of the mobile terminal to overhaul and debug the power distribution cabinet.
2. The energy-saving multi-load power distribution cabinet debugging method according to claim 1, wherein the specific process of analyzing the processing priority value of the data packet in the second step is as follows:
packing the working parameter information of the same power distribution cabinet into a data packet; acquiring a debugging record of a corresponding power distribution cabinet, wherein the debugging record comprises debugging time and debugging level; the debugging level is expressed as the fault problem level of the power distribution cabinet, and is uploaded to the server after the debugging personnel completes the maintenance;
counting the debugging times of the corresponding power distribution cabinet as C1, and counting the times that the debugging interval GTi is smaller than the interval threshold as C2; when the GTi is smaller than the interval threshold, summing the difference between the GTi and the interval threshold to obtain a difference value CT; calculating a difference coefficient Cg by using a formula Cg-C2 × a1+ CT × a2, wherein a1 and a2 are both scale factors;
counting the number of times that the debugging level Di is greater than the level threshold value as P1; when Di is larger than the grade threshold, obtaining the difference value between Di and the grade threshold and summing to obtain an excess total value CZ; calculating an excess coefficient Cd by using a formula of Cd being P1 × a3+ CZ × a4, wherein a3 and a4 are both proportional factors;
calculating a risk coefficient FX of the corresponding power distribution cabinet by using a formula FX (C1 × b1+ Cg × b2+ Cd × b3)/HT, wherein b1, b2 and b3 are coefficient factors, and HT is the buffer duration of the latest debugging time to the present;
the data size of the current packet is marked as D1 using the formula
Calculating to obtain a processing priority value YC of the data packet; wherein b4 and b5 are coefficient factors.
3. The energy-saving multi-load power distribution cabinet debugging method according to claim 1, wherein the loss threshold of the corresponding power distribution cabinet is determined to be SH according to the risk coefficient FC, and specifically comprises the following steps:
a mapping relation table of risk coefficient intervals and loss thresholds is prestored in the database, the risk coefficient interval in which the risk coefficient FC is located in the mapping relation table is determined firstly, and then the corresponding loss threshold is obtained as SH according to the risk coefficient interval.
4. The energy-saving multi-load power distribution cabinet debugging method according to claim 1, wherein the specific process of analyzing the loss value of the power distribution cabinet is as follows:
firstly, analyzing the content of a data packet, and comparing each working parameter with a safety criterion which is stored in a database and corresponds to the power distribution cabinet at the same moment to obtain a data difference value of each working parameter;
acquiring a data difference value of each working parameter larger than zero, and calculating a comprehensive influence coefficient corresponding to the work of the power distribution cabinet by combining the influence factors of each working parameter stored in the database on the work of the power distribution cabinet;
establishing a curve graph of the change of the comprehensive influence coefficient along with time; if the comprehensive influence coefficient is larger than or equal to the influence coefficient threshold value, intercepting the corresponding curve segment in the corresponding curve graph, marking the curve segment as red and marking the curve segment as a loss curve segment; and counting the number of the loss curve segments to be Q1, integrating all the loss curve segments with time and summing to obtain loss reference energy Q2, and calculating by using Sz-Q1 × g1+ Q2 × g2 to obtain a loss value Sz of the corresponding power distribution cabinet, wherein g1 and g2 are coefficient factors.
5. The method according to claim 4, wherein if a certain operating parameter is within the safety criterion, the corresponding data difference is equal to zero; the data difference value comprises a noise decibel difference value, a vibration difference value, a temperature difference value, a load voltage difference value, a load current difference value and a unit energy consumption difference value.
6. The debugging method of the energy-saving multi-load power distribution cabinet according to claim 1, wherein the detection sensors comprise a voltage sensor, a current sensor, a vibration sensor, a temperature sensor, a sound sensor and an energy consumption sensor; the temperature sensor is also used for detecting the real-time environment temperature and sending the real-time environment temperature to the server.
7. The method for debugging the energy-saving multi-load power distribution cabinet according to claim 6, wherein the server is further configured to analyze the temperature threat value of the power distribution cabinet in combination with the temperature of the power distribution cabinet and the real-time environment temperature; and if the temperature threat value Lz is larger than the threat threshold value, generating a temperature threat signal to remind a manager of the mobile terminal to overhaul and update the line of the power distribution cabinet.
8. The method for debugging the energy-saving multi-load power distribution cabinet according to claim 7, wherein the specific analysis process of the temperature threat value is as follows:
using formulas
Calculating to obtain a temperature influence coefficient H1, wherein lambda is a balance factor, T0 is a temperature threshold value, T1 is the temperature of the power distribution cabinet, and T2 is the real-time environment temperature;
establishing a curve graph of the temperature influence coefficient H1 changing along with time, if H1 is larger than the temperature coefficient threshold value, intercepting a corresponding curve segment in the corresponding curve graph, marking the curve segment as yellow, and marking the curve segment as a threat curve segment;
the number of the threat curve segments is counted to be L1, all the threat curve segments are integrated with time and summed to obtain threat reference energy L2, and a temperature threat value Lz of the corresponding power distribution cabinet is obtained by utilizing Lz-L1 × g3+ L2 × g4, wherein g3 and g4 are coefficient factors.
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