CN117554864B - On-line sensing and diagnosing system and method for abnormal wiring of electric energy meter - Google Patents
On-line sensing and diagnosing system and method for abnormal wiring of electric energy meter Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/66—Testing of connections, e.g. of plugs or non-disconnectable joints
- G01R31/67—Testing the correctness of wire connections in electric apparatus or circuits
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R35/00—Testing or calibrating of apparatus covered by the other groups of this subclass
- G01R35/04—Testing or calibrating of apparatus covered by the other groups of this subclass of instruments for measuring time integral of power or current
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- H—ELECTRICITY
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Abstract
The invention provides an online sensing and diagnosing system and method for wiring abnormality of an electric energy meter, and belongs to the technical field of electric energy metering. The system comprises: and the cloud edge acquisition system is used for acquiring and storing real-time measurement data of the intelligent electric energy meter. The non-contact palm intelligent terminal is used for acquiring real-time measurement data of the intelligent electric energy meter from the cloud edge system through a wireless network and uploading the real-time measurement data to the research and judgment server; and the intelligent ammeter is also used for data interaction with the intelligent ammeter. The research and judgment server is used for creating a wiring abnormality judgment model rule base, carrying out hierarchical judgment on wiring abnormality of the intelligent electric energy meter according to real-time measurement data of the intelligent electric energy meter, and generating a judgment result; after determining that the wiring of the intelligent electric energy meter is abnormal, collecting freezing data of the intelligent electric energy meter through a non-contact palm intelligent terminal for tracing, determining the occurrence time of the wiring abnormality, and carrying out wiring correction and additional electric quantity calculation; and encrypting the related data and the judging result, and then solidifying the encrypted data and the judging result to the non-contact palm intelligent terminal.
Description
Technical Field
The invention relates to the technical field of electric energy metering, in particular to an online sensing and diagnosing system and method for abnormal wiring of an electric energy meter.
Background
At present, when the abnormal inspection of the metering devices such as the wiring of the electric energy meter is carried out, the inspection can only be carried out by the professional metering personnel to carry metering detection equipment during the on-site inspection, and the dependence on the qualified metering professional personnel is high. The electric energy meter on-site calibrator and other devices are large, the number of devices is limited, the detection process is complex, the on-site wiring of the electric energy meter is needed, the problems that the electric energy meter is inconvenient to carry, the abnormality can not be detected on a large scale, the operation of working tickets and instruments is complicated, electric shock potential safety hazards exist and the like are solved, the inspection efficiency is low, a plurality of doubtful problems can not be checked one by one, and a great bottleneck is brought to the improvement of inspection quality and effect.
Therefore, the existing measuring devices such as the wiring of the electric energy meter have the following defects mainly in inspection.
1. The safety risk of the abnormal inspection of the metering device is high: the professional metering personnel carries metering detection equipment to carry out verification. The electric energy meter on-site calibrator and other devices are large, the number of devices is limited, the detection process is complex, on-site wiring of the electric energy meter is needed, and the problems that the electric energy meter on-site calibrator is inconvenient to carry, the operation of drawing work tickets and instruments is complex, the electric shock potential safety hazard exists, the inspection efficiency is low and the like exist.
2. The metering device has low inspection efficiency: the existing field detection needs to start a field metering work ticket, the field calibrator is inconvenient to carry, the number is limited, the working efficiency is low, the dependence on qualified metering professionals is high, and the checking and non-metering professionals are not facilitated to carry out the checking and the accident risk prevention on a large scale.
3. The metering device is not accurate enough in abnormal inspection: the existing checking means of the metering device is to measure real-time electric parameters such as voltage, current, angle, power factor and the like by using an electric energy meter field calibrator, and judge and analyze the real-time measured electric parameter data to judge the abnormal condition of the current electric energy meter wiring. The abnormal wiring time of the electric energy meter cannot be traced, in addition, the actual load angle of a user depends on manual input, the accuracy cannot be ensured, and therefore the calculated additional electric quantity is not accurate enough.
Disclosure of Invention
Aiming at the problems, the invention aims to provide an online sensing and diagnosing system and method for the wiring abnormality of the electric energy meter, which can collect real-time measurement data of the electric energy meter through a wireless communication technology and conduct research and judgment on the data so as to diagnose the wiring abnormality of the electric energy meter; the additional electric quantity can be calculated, and the safety, efficiency and accuracy of abnormal inspection of the wiring of the electric energy meter are effectively improved.
The invention aims to achieve the aim, and the aim is achieved by the following technical scheme: an electrical energy meter wiring anomaly on-line perception diagnostic system, comprising: the system comprises a non-contact type palm intelligent terminal, a cloud edge acquisition system and a research and judgment server, wherein the non-contact type palm intelligent terminal is respectively and wirelessly connected with the cloud edge acquisition system and the research and judgment server.
And the cloud edge acquisition system is used for acquiring and storing real-time measurement data of the intelligent electric energy meter.
The non-contact palm intelligent terminal is used for acquiring real-time measurement data of the intelligent electric energy meter from the cloud edge system through a wireless network and uploading the real-time measurement data to the research and judgment server; and the intelligent ammeter is also used for data interaction with the intelligent ammeter.
The research and judgment server is used for creating a wiring abnormality judgment model rule base, carrying out hierarchical judgment on wiring abnormality of the intelligent electric energy meter according to real-time measurement data of the intelligent electric energy meter, and generating a judgment result; after determining that the wiring of the intelligent electric energy meter is abnormal, collecting freezing data of the intelligent electric energy meter through a non-contact palm intelligent terminal for tracing, determining the occurrence time of the wiring abnormality, and carrying out wiring correction and additional electric quantity calculation; and encrypting the related data and the judging result, and then solidifying the encrypted data and the judging result to the non-contact palm intelligent terminal.
Further, the non-contact palm intelligent terminal comprises: smart phones and phone back clips;
the smart phone is connected with the back clip of the mobile phone through Bluetooth.
The mobile phone back clamp is used for carrying out data interaction with the intelligent ammeter through infrared and carrying out data communication with the cloud edge acquisition system through the 4G/5G network so as to acquire real-time measurement data of the intelligent ammeter and send the acquired real-time measurement data of the intelligent ammeter to the intelligent mobile phone.
And the intelligent mobile phone is used for uploading the real-time measurement data of the intelligent electric energy meter to the research server.
Further, the real-time measurement data of the intelligent electric energy meter comprises: the intelligent ammeter comprises voltage, current, phase, included angle and ammeter running state words.
Further, the smart phone includes: the system comprises a screen, a GPS module, a camera, a Bluetooth module, a SIM card module and a wireless network module; the back splint of the mobile phone comprises: bluetooth module, SIM card module, infrared module, RS485/RS232 interface module, safety element module and wireless network module.
Correspondingly, the invention also discloses an online sensing and diagnosing method for the abnormal wiring of the electric energy meter, which comprises the following steps:
creating a wiring abnormality judgment model rule base;
acquiring real-time measurement data of an intelligent electric energy meter;
analyzing real-time measurement data of the intelligent electric energy meter by utilizing a research algorithm based on an abnormality judgment model rule base so as to carry out hierarchical judgment on wiring abnormality of the intelligent electric energy meter and generate a judgment result;
after determining that the wiring of the intelligent electric energy meter is abnormal, collecting freezing data of the intelligent electric energy meter through a non-contact palm intelligent terminal for tracing, determining the occurrence time of the wiring abnormality, and carrying out wiring correction and additional electric quantity calculation;
and encrypting the related data and the judging result, and then solidifying the encrypted data and the judging result to the non-contact palm intelligent terminal.
Further, the creating a rule base of the wiring abnormality determination model includes:
according to the structure principle of the three-phase three-wire electric energy meter, counting the types of a voltage wiring mode, a current wiring mode and a three-phase three-wire basic wiring mode of the three-phase three-wire electric energy meter and the types of wrong wiring when the polarity of the primary side voltage is reversed, and establishing a corresponding wiring abnormality judgment model rule base according to the counted information;
according to the structure principle of the three-phase four-wire electric energy meter, the types of the voltage wiring mode, the current wiring mode and the basic wiring mode of the three-phase four-wire electric energy meter and the types of wrong wiring when the polarity of the primary side voltage is reversed are counted, and a corresponding wiring abnormality judgment model rule base is established according to the counted information.
Further, the acquiring real-time measurement data of the intelligent electric energy meter includes:
and acquiring voltage, current, phase information, phase angle information and an electric energy meter running state word of the intelligent electric energy meter from the cloud edge system or infrared through a wireless network by utilizing the non-contact palm intelligent terminal.
Further, the grinding algorithm includes:
judging whether the intelligent electric energy meter has phase failure, voltage loss or current loss abnormality according to the voltage and current values; if yes, determining that the wiring of the intelligent electric energy meter is abnormal;
if the phase reference value does not exist, unifying the phase reference of the intelligent electric energy meter, recalculating the phase value according to the phase reference, and correcting the phase reference;
and carrying out algorithm correction on the phase angle to eliminate misjudgment caused by errors of intelligent electric energy meter measurement.
And judging the specific wiring condition according to the wiring abnormality judgment model rule base so as to determine the existing error wiring type.
Further, the determining the specific wiring condition according to the wiring abnormality determination model rule base to determine the existing error wiring type includes:
determining the phase sequence of voltage and current according to the read phase information of the voltage and current of the intelligent electric energy meter;
calculating a phase angle difference according to the read phase angle information of the intelligent electric energy meter, and determining a wiring mode of the current according to the phase angle difference;
determining the phase of the reference phasor according to the phase angle information and the user load characteristic;
determining a voltage wiring mode of the intelligent electric energy meter according to the included angle between each phase of the voltage;
determining a current wiring mode of the intelligent electric energy meter according to the included angle between the phases of the current;
and determining the type of wrong wiring according to the included angle between the voltage and the current and the type of the user load.
Further, the freezing data of the intelligent electric energy meter is collected through the non-contact palm intelligent terminal for tracing, the abnormal occurrence time of wiring is determined, wiring correction and additional electric quantity calculation are performed, and the method comprises the following steps:
reading freezing data of the intelligent electric energy meter, and counting the accumulated meter electric quantity W and meter average power P1 of the electric energy meter during abnormal occurrence;
after the intelligent electric energy meter recovers the correct wiring, acquiring the actual power factor and power of a user, and calculating a weighted average power factor and meter average power P2;
further judging whether the wrong wiring type is correct or not according to the weighted average power factor of the load;
if correct, calculating a correction coefficient K through the formula K=P2/P1;
and calculating the additional electric quantity Y according to a formula Y= (|K| -1) multiplied by W.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the intelligent electric energy meter, the non-contact type palm intelligent terminal is utilized to acquire real-time measurement data such as voltage, current, phase, included angle and operation state words of the intelligent electric energy meter from the cloud edge acquisition system through wireless infrared or through 4G/5G, a non-contact type wireless communication mode is completely adopted, and potential safety hazards such as personnel, equipment and a power grid are completely avoided. When data acquisition is carried out, the invention can realize abnormal inspection of the metering device without professional metering personnel, metering detection equipment, on-site wiring, working ticket opening and even on-site operation, is easy to carry out large-scale inspection and accident risk prevention in advance, and greatly improves inspection efficiency.
2. By creating the error wiring judgment model rule base, all possible wiring conditions of the intelligent electric energy meter are comprehensively encompassed. Based on the model rule base, the research algorithm is combined, so that the misjudgment rate is greatly reduced, and 100% of research accuracy is realized. After the abnormal wiring of the intelligent electric energy meter is diagnosed, freezing data are obtained in a non-contact mode, and the abnormal occurrence time of the intelligent electric energy meter is traced. The actual power factor and power of the user are automatically obtained, the weighted average power factor and the meter average power are calculated, the calculation of the additional electric quantity is further carried out, and the accuracy of the whole research and judgment process is ensured.
It can be seen that the present invention has outstanding substantial features and significant advances over the prior art, as well as the benefits of its implementation.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
Fig. 1 is a system configuration diagram of an embodiment of the present invention.
Fig. 2 is a flow chart of a method of an embodiment of the present invention.
Fig. 3 is a schematic diagram of a decision algorithm according to an embodiment of the present invention.
In the figure, 1, a non-contact palm intelligent terminal; 2. the cloud edge acquisition system; 3. a research and judgment server; 4. a smart phone; 5. a handset back clamp; 6. a screen; 7. a GPS module; 8. a camera; 9. a Bluetooth module; 10. a SIM card module; 11. an infrared module; 12. an RS485/RS232 interface module; 13. a security unit module; 14. and a wireless network module.
Detailed Description
In order to better understand the aspects of the present invention, the present invention will be described in further detail with reference to the accompanying drawings and detailed description. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention discloses an on-line sensing and diagnosing system for abnormal wiring of an electric energy meter, which comprises the following components: the intelligent terminal comprises a non-contact type palm intelligent terminal 1, a cloud edge acquisition system 2 and a research and judgment server 3, wherein the non-contact type palm intelligent terminal 1 is respectively in wireless connection with the cloud edge acquisition system 2 and the research and judgment server 3.
And the cloud edge acquisition system 2 is used for acquiring and storing real-time measurement data of the intelligent electric energy meter.
The non-contact palm intelligent terminal 1 is used for acquiring real-time measurement data of the intelligent electric energy meter from the cloud edge system through a wireless network and uploading the real-time measurement data to the research and judgment server 3; and the intelligent ammeter is also used for data interaction with the intelligent ammeter.
In a specific embodiment, the contactless palm intelligent terminal 1 includes: a smart phone 4 and a phone back clip 5. The smart phone 4 and the phone back clip 5 are connected through bluetooth.
The mobile phone back clamp 5 is used for carrying out data interaction with the intelligent ammeter through infrared and carrying out data communication with the cloud edge acquisition system 2 through a 4G/5G network so as to acquire real-time measurement data of the intelligent ammeter and send the acquired real-time measurement data of the intelligent ammeter to the intelligent mobile phone 5. The handset back clamp 5 specifically includes: the device comprises a Bluetooth module 9, a SIM card module 10, an infrared module 11, an RS485/RS232 interface module 12, a security unit module 13 and a wireless network module 14.
And the smart phone 4 is used for uploading real-time measurement data of the intelligent electric energy meter to the research server. The smart phone 4 specifically includes: a screen 6, a GPS module 7, a camera 8, a bluetooth module 9, a SIM card module 10 and a wireless network module 14. The method can meet the application requirements of different scenes and the safety requirements of different scenes.
It can be seen that the non-contact type palm intelligent terminal 1 obtains real-time measurement data such as voltage, current, phase, included angle, operation status word of the intelligent electric energy meter and the like from the cloud edge acquisition system through wireless infrared or through 4G/5G, and completely adopts a non-contact type wireless communication mode, so that safety accidents such as personnel, equipment, power grid and the like are completely avoided. The abnormal inspection of the metering device can be realized without professional metering personnel, metering detection equipment, on-site wiring, working tickets and even going to the site, the inspection and accident risk prevention can be easily carried out on a large scale, and the inspection efficiency is greatly improved.
The research and judgment server 3 is used for creating a wiring abnormality judgment model rule base, carrying out hierarchical judgment on wiring abnormality of the intelligent electric energy meter according to real-time measurement data of the intelligent electric energy meter, and generating a judgment result; after determining that the wiring of the intelligent electric energy meter is abnormal, collecting freezing data of the intelligent electric energy meter through a non-contact palm intelligent terminal for tracing, determining the occurrence time of the wiring abnormality, and carrying out wiring correction and additional electric quantity calculation; and encrypting the related data and the judging result, and then solidifying the encrypted data and the judging result to the non-contact palm intelligent terminal 1.
Therefore, the embodiment of the invention discloses an online sensing and diagnosing system for the abnormal wiring of the electric energy meter, which can collect real-time measurement data of the electric energy meter through a wireless communication technology and conduct research and judgment on the data so as to diagnose the abnormal wiring of the electric energy meter; the additional electric quantity can be calculated, and the safety, efficiency and accuracy of abnormal inspection of the wiring of the electric energy meter are effectively improved.
Based on the above-mentioned electric energy meter abnormal wiring on-line perception diagnosis system, as shown in figure 2, the invention also discloses an electric energy meter abnormal wiring on-line perception diagnosis method, comprising the following steps:
s101: and creating a wiring abnormality judgment model rule base.
The wiring abnormality judgment model rule base comprises 192 wiring modes of the three-phase three-wire electric energy meter, and 2304 wiring modes of the three-phase four-wire electric energy meter comprehensively comprise all possible wiring conditions of the electric energy meter.
S102: and acquiring real-time measurement data of the intelligent electric energy meter.
In a specific embodiment, the non-contact palm intelligent terminal is utilized to acquire real-time measurement data such as voltage, current, phase information, included angle information, electric energy meter running state words and the like of the intelligent electric energy meter from the cloud edge acquisition system through wireless infrared or through a 4G/5G network.
It should be specifically noted that, in the DL/T645-2007 protocol, the phase sequence information of the voltage and the current can be obtained by reading the operation status word of the electric energy meter, and the phase angle data block can be read to obtain the direct phase angle of the voltage and the current. At present, a plurality of new and changed electric energy meter protocols adopt safer and more comprehensive 698.45 communication protocols, and in 698.45 protocols, data of voltage phase angles can be read in addition to data in DL/T645-2007 protocols. And the wiring condition of the electric energy meter can be basically judged according to the data information.
S103: and analyzing real-time measurement data of the intelligent electric energy meter by utilizing a research algorithm based on the abnormality judgment model rule base so as to carry out hierarchical judgment on wiring abnormality of the intelligent electric energy meter and generate a judgment result.
In the specific embodiment, the wiring abnormality of the intelligent electric energy meter is subjected to grading judgment by combining a judgment algorithm, metering abnormalities such as phase failure, voltage loss, current loss, polarity inversion, phase sequence inversion, inconsistent voltage and current access phase and the like are sequentially judged, and judgment results of graph and character identification are given.
S104: after the abnormal wiring of the intelligent electric energy meter is determined, the freezing data of the intelligent electric energy meter is collected through the non-contact palm intelligent terminal for tracing, the abnormal wiring time is determined, and wiring correction and additional electric quantity calculation are performed.
Specifically, the freezing data of the intelligent electric energy meter are firstly read, and the meter electric quantity W and the meter average power P1 accumulated by the electric energy meter during abnormal occurrence are counted.
After the intelligent ammeter resumes correct wiring, the field acquires the actual power factor and power of the user after monitoring for a period of time, and calculates the weighted average power factor and the meter average power P2.
Then, it is judged whether the kind of the wrong wiring determined in step S103 is correct or not according to the weighted average power factor of the load. If correct, a correction factor K is calculated by the formula k=p2/P1.
Finally, the additional electric quantity Y is calculated according to the formula Y= (|K| -1) multiplied by W.
S105: and encrypting the related data and the judging result, and then solidifying the encrypted data and the judging result to the non-contact palm intelligent terminal.
Therefore, the method comprehensively comprises all possible wiring conditions of the intelligent electric energy meter by creating the error wiring judgment model rule base. Based on the model rule base, the research algorithm is combined, so that the misjudgment rate is greatly reduced, and 100% of research accuracy is realized. After the abnormal wiring of the intelligent electric energy meter is diagnosed, freezing data are obtained in a non-contact mode, and the abnormal occurrence time of the intelligent electric energy meter is traced. The actual power factor and power of the user are automatically obtained, the weighted average power factor and the meter average power are calculated, the calculation of the additional electric quantity is further carried out, and the accuracy of the whole research and judgment process is ensured.
In a specific embodiment, the wiring abnormality determination model rule base includes: the wiring abnormality judgment model rule base of the three-phase three-wire electric energy meter and the wiring abnormality judgment model rule base of the three-phase four-wire electric energy meter are correspondingly and specifically established as follows:
1. the method comprises the following steps of establishing a wiring abnormality judgment model rule base of a three-phase three-wire electric energy meter:
1.1, voltage wiring mode: the voltage phases are arranged and combined according to the wiring sequence of the voltage phases, and the voltage wiring modes are 3×2×1=6, and are UaUbUc, uaUcUb, ubUaUc, ubUcUa, ucUaUb, ucUbUa respectively.
1.2, current wiring mode: the arrangement and combination are carried out according to the voltage phase and polarity connection sequence, and the current connection modes are 4 multiplied by 2=8, namely Ia Ic, ia-Ic, -Ia-Ic, ic Ia, ic-Ia, -Ic Ia and Ic-Ia respectively.
1.3, types of basic wiring modes of three-phase and three-wire: voltage connection×current connection=6×8=48. The basic wiring mode does not consider the situation that the polarity of the primary side voltage is reversed.
1.4, expansion wiring result: considering the case where the primary side voltage polarity is reversed, the voltage polarities are respectively TV1 positive TV2 positive, TV1 positive TV2 negative, TV1 negative TV2 positive, and TV1 negative TV2 negative, because of 4 cases. Then the corresponding miswiring category is 48×4=192.
And 1.5, establishing a wiring abnormality judgment model rule base for all possible wiring conditions.
2. The method comprises the following steps of establishing a wiring abnormality judgment model rule base of the three-phase four-wire electric energy meter: :
2.1, voltage wiring mode: the voltage phases are arranged and combined according to the wiring sequence of the voltage phases, and the voltage wiring modes are 3×2×1=6, and are UaUbUc, uaUcUb, ubUaUc, ubUcUa, ucUaUb, ucUbUa respectively.
2.2, current wiring mode: the current wiring modes are 6×8=48 according to the current phase and the polarity wiring sequence.
2.3, types of basic wiring modes of three-phase four-wire: voltage connection method current connection method=6×48=288. The basic wiring mode does not consider the situation of reverse polarity connection of the primary side voltage
2.4, expanding wiring result: considering the case of the primary side voltage polarity reversal, since there are 8 cases of the voltage polarity reversal, the corresponding voltage connection result is 6×8=48. At this time, the three-phase four-wire wiring result is 48×48=2304 in total.
And 2.5, establishing a wiring abnormality judgment model rule base for all possible wiring conditions.
In a specific embodiment, the research algorithm adopted by the method comprises the following steps:
s201: judging whether the intelligent electric energy meter has phase failure, voltage loss or current loss abnormality according to the voltage and current values; if the intelligent ammeter is in existence, determining that the intelligent ammeter is abnormal in wiring.
The step is a first-stage judgment, and specifically, whether the phase failure, the voltage loss, the current loss and other anomalies exist or not can be judged according to the voltage value and the current value. If there is execution of step S104, the next step is executed if there is no.
S202: if the phase reference value does not exist, unifying the phase reference of the intelligent electric energy meter, recalculating the phase value according to the phase reference, and correcting the phase reference.
Specifically, the unified phase reference is Ua, and since the phase references returned by the electric energy meters of different manufacturers are different, the phase references need to be determined according to the returned phase characteristics, then the phase values are recalculated, and the phase reference correction is performed.
S203: and carrying out algorithm correction on the phase angle to eliminate misjudgment caused by errors of intelligent electric energy meter measurement.
And correcting the measured data of the low-load user (the low-load user means that the load current of a certain phase is less than the starting current of the electric energy meter, and then the phase angle of the certain phase is quite possibly calculated inaccurately), and carrying out algorithm correction on the phase angle by combining the property of load balance at the moment so as to eliminate misjudgment caused by the measurement error of the electric energy meter.
S204: and judging the specific wiring condition according to the wiring abnormality judgment model rule base so as to determine the existing error wiring type.
The step is second-level judgment, the specific wiring condition can be judged according to a wiring abnormality judgment model rule base, and the whole idea of the algorithm adopts a layered step-by-step judgment mode. The specific process is as follows:
firstly, determining a voltage wiring mode of the electric energy meter according to the included angle between each phase of the voltage. And then, determining the current wiring mode of the electric energy meter according to the included angle between the phases of the current. At this time, four possible wiring conditions are determined according to the angle between the voltage and the current. Finally, according to the load type of the user and combining the target of the research and judgment, determining and judging which kind of wrong wiring is specific without affecting the measurement.
In order to better illustrate the method, the following describes the specific implementation procedure of the method according to specific cases:
1. the three-phase three-wire electric energy meter (DL/T645-2007 protocol) is simulated, the voltage negative phase sequence (Ub Ua Uc) is simulated, the current negative phase sequence, the polarity Ia is reversed (+ic-Ia) and is wrongly wired, and the power factor of the actual load is 0.8L at the moment, namely 36 degrees.
2. Reading intelligent ammeter operation data through an RS485 interface, wherein various parameters are shown in a table 1:
TABLE 1
3. The voltage phase sequence is negative and the voltage is determined to be one of UaUcUb, ubUaUc, ucUbUa. In this case uakucb=60°
3. Calculating the phase angles of Ic and Ia:
phiicia=phiuaboa- (phiucbsic+phiuabocb) =121.0- (2+60) =59 °, see table 2, corresponding data can determine whether the current connection is +ic-Ia or-ic+ia.
TABLE 2
2. The phase angle of the first element phia=121.0°, and referring to table 3, it can be determined that the current of the first element is +ic, and then it can be determined that the current connection is +ic-Ia. Since the voltage phase sequence is negative, the voltage connection mode can be determined as UbUaUc.
TABLE 3 Table 3
6. Calculating correction coefficients: when the formula derives the correction coefficient, the voltage and the current are ideal. Let P be the correct wiring power, P1 be the wrong wiring power, the phase angle be phi, and the correction coefficient be K. The specific calculation process is as follows:
P =UabIaCos（30°+φ）+UcbIcCos（-30°+φ）=UICosφ
P1=UabIaCos（90°+φ）+UcbIc（-30°+φ）=UI（-Sinφ/2）
K=P/P1=UICosφ/(UI（/>-Sinφ/2）)=2/>/（/>-tgφ）
the current operation angle of the electric energy meter is 30 degrees, and the operation angle is obtained by taking the formula:
K=2/（/>-tg30°）=3
7. and (3) tracing the occurrence time of the wrong wiring and the accumulated electricity value of the ammeter during the wrong wiring by analyzing freezing data of the ammeter (acquired through an infrared or cloud edge acquisition system).
8. Calculating the additional electric quantity W: let W1 be the accumulated electricity value of the electricity meter during the miswiring period.
The additional electric quantity W is calculated by the formula w= (K-1) ×w1.
In summary, the invention can collect real-time measurement data of the electric energy meter through a wireless communication technology, and conduct research and judgment on the data so as to diagnose abnormal wiring of the electric energy meter; the additional electric quantity can be calculated, and the safety, efficiency and accuracy of abnormal inspection of the wiring of the electric energy meter are effectively improved.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, so that the same or similar parts between the embodiments are referred to each other. For the method disclosed in the embodiment, since it corresponds to the system disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The system and the method for online sensing and diagnosing the abnormal wiring of the electric energy meter are described in detail. The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to facilitate an understanding of the method of the present invention and its core ideas. It should be noted that it will be apparent to those skilled in the art that various modifications and adaptations of the invention can be made without departing from the principles of the invention and these modifications and adaptations are intended to be within the scope of the invention as defined in the following claims.
Claims (5)
1. An electric energy meter wiring abnormality on-line perception diagnosis system, which is characterized by comprising: the system comprises a non-contact type palm intelligent terminal, a cloud edge acquisition system and a research and judgment server, wherein the non-contact type palm intelligent terminal is respectively and wirelessly connected with the cloud edge acquisition system and the research and judgment server;
the cloud edge acquisition system is used for acquiring and storing real-time measurement data of the intelligent electric energy meter;
the non-contact palm intelligent terminal is used for acquiring real-time measurement data of the intelligent electric energy meter from the cloud edge system through a wireless network and uploading the real-time measurement data to the research and judgment server; the intelligent ammeter is also used for carrying out data interaction with the intelligent ammeter;
the research and judgment server is used for creating a wiring abnormality judgment model rule base, acquiring real-time measurement data of the intelligent electric energy meter, analyzing the real-time measurement data of the intelligent electric energy meter by utilizing a research and judgment algorithm based on the abnormality judgment model rule base so as to carry out hierarchical judgment on wiring abnormality of the intelligent electric energy meter and generate a judgment result; after determining that the wiring of the intelligent electric energy meter is abnormal, collecting freezing data of the intelligent electric energy meter through a non-contact palm intelligent terminal for tracing, determining the occurrence time of the wiring abnormality, and carrying out wiring correction and additional electric quantity calculation; encrypting the related data and the judging result, and then solidifying the encrypted data and the judging result to the non-contact palm intelligent terminal;
the creating of the wiring abnormality judgment model rule base comprises the following steps:
according to the structure principle of the three-phase three-wire electric energy meter, counting the types of a voltage wiring mode, a current wiring mode and a three-phase three-wire basic wiring mode of the three-phase three-wire electric energy meter and the types of wrong wiring when the polarity of the primary side voltage is reversed, and establishing a corresponding wiring abnormality judgment model rule base according to the counted information;
according to the structure principle of the three-phase four-wire electric energy meter, counting the types of a voltage wiring mode, a current wiring mode and a three-phase four-wire basic wiring mode of the three-phase three-wire electric energy meter and the types of wrong wiring when the polarity of the primary side voltage is reversed, and establishing a corresponding wiring abnormality judgment model rule base according to the counted information;
the acquiring real-time measurement data of the intelligent electric energy meter comprises the following steps:
acquiring voltage, current, phase information, phase angle information and electric energy meter operation state words of the intelligent electric energy meter from the cloud edge system through a wireless network by utilizing a non-contact palm intelligent terminal;
the grinding and judging algorithm comprises the following steps:
judging whether the intelligent electric energy meter has phase failure, voltage loss or current loss abnormality according to the voltage and current values; if yes, determining that the wiring of the intelligent electric energy meter is abnormal;
if the phase reference value does not exist, unifying the phase reference of the intelligent electric energy meter, recalculating the phase value according to the phase reference, and correcting the phase reference;
carrying out algorithm correction on the phase angle to eliminate misjudgment caused by errors of intelligent electric energy meter measurement;
judging the specific wiring condition according to a wiring abnormality judgment model rule base so as to determine the existing error wiring type;
the judging of the specific wiring condition according to the wiring abnormality judging model rule base to determine the existing error wiring type comprises the following steps:
determining the phase sequence of voltage and current according to the read phase information of the voltage and current of the intelligent electric energy meter;
calculating a phase angle difference according to the read phase angle information of the intelligent electric energy meter, and determining a wiring mode of the current according to the phase angle difference;
determining the phase of the reference phasor according to the phase angle information and the user load characteristic;
determining a voltage wiring mode of the intelligent electric energy meter according to the included angle between each phase of the voltage;
determining a current wiring mode of the intelligent electric energy meter according to the included angle between the phases of the current;
determining the type of wrong wiring according to the included angle between the voltage and the current and the type of the user load;
the freezing data of the intelligent electric energy meter is collected through the non-contact palm intelligent terminal for tracing, the abnormal wiring occurrence time is determined, wiring correction and additional electric quantity calculation are carried out, and the method comprises the following steps:
reading freezing data of the intelligent electric energy meter, and counting the accumulated meter electric quantity W and meter average power P1 of the electric energy meter during abnormal occurrence;
after the intelligent electric energy meter recovers the correct wiring, acquiring the actual power factor and power of a user, and calculating a weighted average power factor and meter average power P2;
judging whether the determined error wiring type is correct or not according to the weighted average power factor of the load;
if correct, calculating a correction coefficient K through the formula K=P2/P1;
and calculating the additional electric quantity Y according to a formula Y= (|K| -1) multiplied by W.
2. The electrical energy meter wiring anomaly online perception diagnostic system of claim 1, wherein the non-contact palm intelligent terminal comprises: smart phones and phone back clips;
the smart phone is connected with the back clip of the mobile phone through Bluetooth;
the mobile phone back clamp is used for carrying out data interaction with the intelligent ammeter through infrared and carrying out data communication with the cloud edge acquisition system through a 4G/5G network so as to acquire real-time measurement data of the intelligent ammeter and sending the acquired real-time measurement data of the intelligent ammeter to the intelligent mobile phone;
and the intelligent mobile phone is used for uploading the real-time measurement data of the intelligent electric energy meter to the research server.
3. The electrical energy meter wiring anomaly online perception diagnostic system of claim 1, wherein the real-time measurement data of the intelligent electrical energy meter comprises: the intelligent ammeter comprises voltage, current, phase, included angle and ammeter running state words.
4. The electrical energy meter wiring anomaly online perception diagnostic system of claim 2, wherein the smart phone comprises:
the system comprises a screen, a GPS module, a camera, a Bluetooth module, a SIM card module and a wireless network module;
the mobile phone back clip comprises: bluetooth module, SIM card module, infrared module, RS485/RS232 interface module, safety element module and wireless network module.
5. The online perception diagnosis method for the wiring abnormality of the electric energy meter is characterized by adopting the online perception diagnosis system for the wiring abnormality of the electric energy meter according to claim 1, and comprises the following steps:
creating a wiring abnormality judgment model rule base;
acquiring real-time measurement data of an intelligent electric energy meter;
analyzing real-time measurement data of the intelligent electric energy meter by utilizing a research algorithm based on an abnormality judgment model rule base so as to carry out hierarchical judgment on wiring abnormality of the intelligent electric energy meter and generate a judgment result;
after determining that the wiring of the intelligent electric energy meter is abnormal, collecting freezing data of the intelligent electric energy meter through a non-contact palm intelligent terminal for tracing, determining the occurrence time of the wiring abnormality, and carrying out wiring correction and additional electric quantity calculation;
encrypting the related data and the judging result, and then solidifying the encrypted data and the judging result to the non-contact palm intelligent terminal;
the creating of the wiring abnormality judgment model rule base comprises the following steps:
according to the structure principle of the three-phase three-wire electric energy meter, counting the types of a voltage wiring mode, a current wiring mode and a three-phase three-wire basic wiring mode of the three-phase three-wire electric energy meter and the types of wrong wiring when the polarity of the primary side voltage is reversed, and establishing a corresponding wiring abnormality judgment model rule base according to the counted information;
according to the structure principle of the three-phase four-wire electric energy meter, counting the types of a voltage wiring mode, a current wiring mode and a three-phase four-wire basic wiring mode of the three-phase three-wire electric energy meter and the types of wrong wiring when the polarity of the primary side voltage is reversed, and establishing a corresponding wiring abnormality judgment model rule base according to the counted information;
the acquiring real-time measurement data of the intelligent electric energy meter comprises the following steps:
acquiring voltage, current, phase information, phase angle information and electric energy meter operation state words of the intelligent electric energy meter from the cloud edge system through a wireless network by utilizing a non-contact palm intelligent terminal;
the grinding and judging algorithm comprises the following steps:
judging whether the intelligent electric energy meter has phase failure, voltage loss or current loss abnormality according to the voltage and current values; if yes, determining that the wiring of the intelligent electric energy meter is abnormal;
if the phase reference value does not exist, unifying the phase reference of the intelligent electric energy meter, recalculating the phase value according to the phase reference, and correcting the phase reference;
carrying out algorithm correction on the phase angle to eliminate misjudgment caused by errors of intelligent electric energy meter measurement;
judging the specific wiring condition according to a wiring abnormality judgment model rule base so as to determine the existing error wiring type;
the judging of the specific wiring condition according to the wiring abnormality judging model rule base to determine the existing error wiring type comprises the following steps:
determining the phase sequence of voltage and current according to the read phase information of the voltage and current of the intelligent electric energy meter;
calculating a phase angle difference according to the read phase angle information of the intelligent electric energy meter, and determining a wiring mode of the current according to the phase angle difference;
determining the phase of the reference phasor according to the phase angle information and the user load characteristic;
determining a voltage wiring mode of the intelligent electric energy meter according to the included angle between each phase of the voltage;
determining a current wiring mode of the intelligent electric energy meter according to the included angle between the phases of the current;
determining the type of wrong wiring according to the included angle between the voltage and the current and the type of the user load;
the freezing data of the intelligent electric energy meter is collected through the non-contact palm intelligent terminal for tracing, the abnormal wiring occurrence time is determined, wiring correction and additional electric quantity calculation are carried out, and the method comprises the following steps:
reading freezing data of the intelligent electric energy meter, and counting the accumulated meter electric quantity W and meter average power P1 of the electric energy meter during abnormal occurrence;
after the intelligent electric energy meter recovers the correct wiring, acquiring the actual power factor and power of a user, and calculating a weighted average power factor and meter average power P2;
judging whether the determined error wiring type is correct or not according to the weighted average power factor of the load;
if correct, calculating a correction coefficient K through the formula K=P2/P1;
and calculating the additional electric quantity Y according to a formula Y= (|K| -1) multiplied by W.
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