CN107085934B - Performance detection method and system for electricity consumption information acquisition equipment - Google Patents
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Abstract
The invention discloses a method for detecting the performance of power consumption information acquisition equipment, which is characterized by comprising the following steps: the main server issues a meter reading instruction; the environment sensor obtains environment monitoring data during meter reading according to the meter reading instruction, and sends the environment monitoring data to a main server, wherein the environment monitoring data comprises: temperature data, humidity data, altitude data, and barometric pressure data; the check equipment acquires error data of the intelligent electric energy meter during meter reading according to the meter reading instruction and sends the error data to the main server; and screening effective error data by the main server according to the error data and the corresponding environment monitoring data. The intelligent electric energy meter error data screening method has the advantages that error data of the intelligent electric energy meter can be screened according to the environment monitoring data, effective error data are reserved, and accuracy of subsequent analysis results of the intelligent electric energy meter is improved.
Description
Technical Field
The invention relates to the field of power detection, in particular to a method and a system for detecting the performance of power utilization information acquisition equipment.
Background
The power consumption information acquisition equipment is an important component for building a strong intelligent power grid. In the using process, the electricity information acquisition equipment is influenced by the environment, and acquisition errors and faults can occur, especially in special environments such as high temperature and high humidity. In order to research the relationship between the error and the environmental factor of the electricity information acquisition equipment, the electricity information acquisition equipment needs to be detected, detection data is recorded, and the relation between the error and the environmental factor is obtained by analyzing according to the data in subsequent work. However, the error data detected by the prior art means includes not only error data caused by environmental factors, but also invalid error data which is caused by faults and has no reference to subsequent analysis, and the invalid error data affects the accuracy of the subsequent analysis result of the electric energy meter.
Disclosure of Invention
The invention provides a method and a system for detecting the performance of power consumption information acquisition equipment, which can effectively select effective error data so as to improve the accuracy of subsequent analysis results of an electric energy meter.
In order to solve the above problem, according to an aspect of the present invention, there is provided a method for detecting performance of a power consumption information collection device, the method including:
the main server issues a meter reading instruction;
the environment sensor obtains environment monitoring data during meter reading according to the meter reading instruction, and sends the environment monitoring data to a main server, wherein the environment monitoring data comprises: temperature data, humidity data, altitude data, and barometric pressure data;
the check equipment acquires error data of the intelligent electric energy meter during meter reading according to the meter reading instruction and sends the error data to the main server;
and the data screening module screens out effective error data according to the error data and the corresponding environment monitoring data.
Preferably, wherein the method further comprises:
and the concentrator acquires the meter reading data of the intelligent electric energy meter through the collector according to the meter reading instruction and sends the meter reading data of the intelligent electric energy meter to the main server.
Preferably, the screening out valid error data by the main server according to the error data and the corresponding environmental monitoring data includes:
calculating an error characteristic value, a temperature characteristic value, a humidity characteristic value, an altitude characteristic value and an air pressure characteristic value according to the error data, the temperature data, the humidity data, the altitude data and the air pressure data respectively;
calculating consistency data according to the altitude characteristic value and the air pressure characteristic value;
calculating an effective error data decision threshold from the temperature characteristic, the humidity characteristic, and the consistency data, wherein the effective error data decision threshold comprises: a first valid error data decision threshold and a second valid error data decision threshold;
and comparing the error characteristic data with an effective error data judgment threshold value to screen out effective error data.
Preferably, wherein the calculating an error characteristic value, a temperature characteristic value, a humidity characteristic value, an altitude characteristic value and a pressure characteristic value from the error data, the temperature data, the humidity data, the altitude data and the pressure data, respectively, comprises:
S＝s'，
wherein X ' is error data, X is an error characteristic value, T ' is temperature data, T is a temperature characteristic value, S ' is humidity data, S is a humidity characteristic value, H ' is altitude data, H is altitude characteristic value, P ' is a ratio of barometric pressure data to standard atmospheric pressure, and P is a barometric pressure characteristic value.
Preferably, wherein said calculating consistency data from said altitude characteristic and barometric characteristic comprises:
if it is
Then the air pressure is judged to be consistent with the altitude condition, and the air pressure is taken
Otherwise, get
Where Y is the coherency data.
Preferably, wherein said calculating an effective error data decision threshold from said temperature characteristic value, humidity characteristic value and consistency data comprises:
where a is a first valid error data decision threshold and B is a second valid error data decision threshold.
Preferably, the comparing the error feature data with a valid error data determination threshold to screen out valid error data includes:
if X is larger than or equal to A or X is smaller than or equal to B, judging that the error data corresponding to X is invalid error data, and deleting; otherwise, the error data corresponding to the X is judged to be valid error data and reserved.
According to another aspect of the present invention, there is provided a power consumption information collecting device performance detecting system, including: a main server, an environmental sensor and a verification device,
the main server is respectively connected with the environmental sensor and the checking equipment and is used for issuing a meter reading instruction; receiving and storing environmental monitoring data and error data; screening effective error data according to the error data and the corresponding environment monitoring data;
the calibration equipment is respectively connected with the intelligent electric energy meter and the main server and is used for acquiring error data of the intelligent electric energy meter during meter reading according to the meter reading instruction and sending the error data to the main server;
the environment sensor is connected with the main server and used for acquiring environment monitoring data during meter reading according to the meter reading instruction and sending the environment monitoring data to the main server, wherein the environment monitoring data comprises: temperature data, humidity data, altitude data, and barometric pressure data.
Preferably, wherein the system further comprises: a concentrator and a collector, wherein the concentrator is connected with the collector,
the concentrator is respectively connected with the collector and the checking equipment and used for acquiring the meter reading data of the intelligent electric energy meter through the collector according to the meter reading instruction and sending the meter reading data of the intelligent electric energy meter to the main server.
The collector is respectively connected with the concentrator and the intelligent electric energy meter and is used for collecting meter reading data of the intelligent electric energy meter;
preferably, the main server screens out effective error data according to the error data and the corresponding environment monitoring data, and is specifically configured to:
calculating an error characteristic value, a temperature characteristic value, a humidity characteristic value, an altitude characteristic value and an air pressure characteristic value according to the error data, the temperature data, the humidity data, the altitude data and the air pressure data respectively;
calculating consistency data according to the altitude characteristic value and the air pressure characteristic value;
calculating an effective error data decision threshold from the temperature characteristic, the humidity characteristic, and the consistency data, wherein the effective error data decision threshold comprises: a first valid error data decision threshold and a second valid error data decision threshold;
and comparing the error characteristic data with an effective error data judgment threshold value to screen out effective error data.
Preferably, the error characteristic value, the temperature characteristic value, the humidity characteristic value, the altitude characteristic value and the air pressure characteristic value are calculated according to the error data, the temperature data, the humidity data, the altitude data and the air pressure data, respectively, and are specifically configured to:
S＝s'，
wherein X ' is error data, X is an error characteristic value, T ' is temperature data, T is a temperature characteristic value, S ' is humidity data, S is a humidity characteristic value, H ' is altitude data, H is altitude characteristic value, P ' is a ratio of barometric pressure data to standard atmospheric pressure, and P is a barometric pressure characteristic value.
Preferably, the calculating of the consistency data according to the altitude characteristic value and the air pressure characteristic value is specifically configured to:
if it is
Then the air pressure is judged to be consistent with the altitude condition, and the air pressure is taken
Otherwise, get
Where Y is the coherency data.
Preferably, the calculating an effective error data determination threshold according to the temperature characteristic value, the humidity characteristic value and the consistency data is specifically configured to:
where a is a first valid error data decision threshold and B is a second valid error data decision threshold.
Preferably, the comparing the error feature data with a valid error data determination threshold value screens out valid error data, specifically for:
if X is larger than or equal to A or X is smaller than or equal to B, judging that the error data corresponding to X is invalid error data, and deleting; otherwise, the error data corresponding to the X is judged to be valid error data and reserved.
The invention has the beneficial effects that:
the technical scheme of the invention relates to a performance detection method for power consumption information acquisition equipment, which can screen error data of an intelligent electric energy meter according to environment monitoring data, retain effective error data and improve the accuracy of subsequent analysis results of the intelligent electric energy meter.
Drawings
A more complete understanding of exemplary embodiments of the present invention may be had by reference to the following drawings in which:
FIG. 1 is a flow chart of a detection method 100 according to an embodiment of the present invention;
FIG. 2 is a flow chart of a method 200 of error data screening according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a detection system 300 according to an embodiment of the present invention; and
FIG. 4 is a schematic diagram of a detection system according to another embodiment of the present invention.
Detailed Description
The exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, however, the present invention may be embodied in many different forms and is not limited to the embodiments described herein, which are provided for complete and complete disclosure of the present invention and to fully convey the scope of the present invention to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting of the invention. In the drawings, the same units/elements are denoted by the same reference numerals.
Unless otherwise defined, terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Further, it will be understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense.
FIG. 1 is a flow chart of a detection method 100 according to an embodiment of the invention. As shown in fig. 1, the detection method 100 is used for detecting the performance of the electricity consumption information collecting device. According to the detection method 100, a meter reading instruction is issued through a main server, the environment sensor and the calibration equipment respectively obtain environment monitoring data and error data of the intelligent electric energy meter during meter reading according to the meter reading instruction, the environment monitoring data and the error data are sent to a data screening module through the main server, finally, the main server screens effective error data according to the error data and the corresponding environment monitoring data, the effective error data are reserved, and the accuracy of subsequent analysis results of the intelligent electric energy meter is improved. The detection method 100 begins at step 101, and the host server issues a meter reading instruction at step 101. Preferably, wherein the method further comprises: and the concentrator acquires the meter reading data of the intelligent electric energy meter through the collector according to the meter reading instruction and sends the meter reading data of the intelligent electric energy meter to the main server. The concentrator is formed by connecting a main concentrator and a standby concentrator in series. The collector is an I-type collector or an II-type collector. The intelligent electric energy meter includes: single-phase intelligent electric energy meter or three-phase intelligent electric energy meter. And the main server issues a meter reading instruction to the concentrator through a communication channel.
Preferably, in step 102, the environmental sensor obtains environmental monitoring data during meter reading according to the meter reading instruction, and sends the environmental monitoring data to the main server, wherein the environmental monitoring data includes: temperature data, humidity data, altitude data, and barometric pressure data.
Preferably, in step 103, the verification device obtains error data of the intelligent electric energy meter during meter reading according to the meter reading instruction, and sends the error data to the main server.
Preferably, the main server screens out valid error data from the error data and corresponding environmental monitoring data at step 104. Fig. 2 is a flow chart of an error data screening method 200 according to an embodiment of the invention. As shown in fig. 2, the error data screening method 200 starts at step 201, and calculates error characteristic values, temperature characteristic values, humidity characteristic values, altitude characteristic values and air pressure characteristic values according to the error data, the temperature data, the humidity data, the altitude data and the air pressure data, respectively, at step 201. Preferably, wherein the calculating an error characteristic value, a temperature characteristic value, a humidity characteristic value, an altitude characteristic value and a pressure characteristic value from the error data, the temperature data, the humidity data, the altitude data and the pressure data, respectively, comprises:
S＝s'，
wherein X ' is error data, X is an error characteristic value, T ' is temperature data, T is a temperature characteristic value, S ' is humidity data, S is a humidity characteristic value, H ' is altitude data, H is altitude characteristic value, P ' is a ratio of barometric pressure data to standard atmospheric pressure, and P is a barometric pressure characteristic value. In the embodiment of the present invention, when the altitude data H' is ≦ 0.1, the altitude eigenvalue H is taken to be 0.
Preferably, consistency data is calculated at step 202 based on the altitude characteristic and the barometric characteristic. Preferably, wherein said calculating consistency data from said altitude characteristic and barometric characteristic comprises:
if it is
Then the air pressure is judged to be consistent with the altitude condition, and the air pressure is taken
Otherwise, get
Where Y is the coherency data.
Preferably, an effective error data decision threshold is calculated at step 203 based on the temperature characteristic value, the humidity characteristic value and the consistency data, wherein the effective error data decision threshold comprises: a first valid error data decision threshold and a second valid error data decision threshold. Preferably, wherein said calculating an effective error data decision threshold from said temperature characteristic value, humidity characteristic value and consistency data comprises:
where a is a first valid error data decision threshold and B is a second valid error data decision threshold.
Preferably, the error feature data is compared with a valid error data determination threshold to screen out valid error data at step 204. If X is larger than or equal to A or X is smaller than or equal to B, judging that the error data corresponding to X is invalid error data, and deleting; otherwise, the error data corresponding to the X is judged to be valid error data and reserved.
Fig. 3 is a schematic structural diagram of a detection system 300 according to an embodiment of the present invention. As shown in fig. 3, the detection system 300 includes: a host server 301, a verification device 302, and an environmental sensor 303. Preferably, wherein the system further comprises: the concentrator is respectively connected with the collector and the checking equipment and used for acquiring the meter reading data of the intelligent electric energy meter through the collector according to the meter reading instruction and sending the meter reading data of the intelligent electric energy meter to the main server. Wherein, the concentrator is formed by connecting a main concentrator and a standby concentrator in series. The collector is respectively connected with the concentrator and the intelligent electric energy meter and is used for collecting meter reading data of the intelligent electric energy meter. Wherein, the collector is I type collector or II type collector. The intelligent electric energy meter includes: single-phase intelligent electric energy meter or three-phase intelligent electric energy meter.
Preferably, the main server 301 is connected to the environmental sensor and the calibration device, respectively, and is configured to issue a meter reading instruction; receiving and storing environmental monitoring data and error data; and screening effective error data according to the error data and the corresponding environment monitoring data. The main server issues a meter reading instruction to the concentrator through a communication channel.
Preferably, the calibration device 302 is respectively connected to the intelligent electric energy meter and the main server, and is configured to obtain error data of the intelligent electric energy meter during meter reading according to the meter reading instruction, and send the error data to the main server.
Preferably, the environmental sensor 303 is connected to the main server, and is configured to obtain environmental monitoring data according to the meter reading instruction, and send the environmental monitoring data to the main server, where the environmental monitoring data includes: temperature data, humidity data, altitude data, and barometric pressure data.
Preferably, the data filtering module 304 is connected to the main server, and configured to receive the environmental monitoring data and the error data, and filter out effective error data according to the error data and the corresponding environmental monitoring data. Preferably, the main server screens out effective error data according to the error data and the corresponding environment monitoring data, and is specifically configured to:
calculating an error characteristic value, a temperature characteristic value, a humidity characteristic value, an altitude characteristic value and an air pressure characteristic value according to the error data, the temperature data, the humidity data, the altitude data and the air pressure data respectively;
calculating consistency data according to the altitude characteristic value and the air pressure characteristic value;
calculating an effective error data decision threshold from the temperature characteristic, the humidity characteristic, and the consistency data, wherein the effective error data decision threshold comprises: a first valid error data decision threshold and a second valid error data decision threshold;
and comparing the error characteristic data with an effective error data judgment threshold value to screen out effective error data.
Preferably, wherein the calculating an error characteristic value, a temperature characteristic value, a humidity characteristic value, an altitude characteristic value and a pressure characteristic value from the error data, the temperature data, the humidity data, the altitude data and the pressure data, respectively, comprises:
S＝s'，
wherein X ' is error data, X is an error characteristic value, T ' is temperature data, T is a temperature characteristic value, S ' is humidity data, S is a humidity characteristic value, H ' is altitude data, H is altitude characteristic value, P ' is a ratio of barometric pressure data to standard atmospheric pressure, and P is a barometric pressure characteristic value.
Preferably, wherein said calculating consistency data from said altitude characteristic and barometric characteristic comprises:
if it is
Then the air pressure is judged to be consistent with the altitude condition, and the air pressure is taken
Otherwise, get
Where Y is the coherency data.
Preferably, wherein said calculating an effective error data decision threshold from said temperature characteristic value, humidity characteristic value and consistency data comprises:
where a is a first valid error data decision threshold and B is a second valid error data decision threshold.
Preferably, the comparing the error feature data with a valid error data determination threshold to screen out valid error data includes:
if X is larger than or equal to A or X is smaller than or equal to B, judging that the error data corresponding to X is invalid error data, and deleting; otherwise, the error data corresponding to the X is judged to be valid error data and reserved.
The checking equipment and the intelligent electric energy meter in the detection system can be in a plurality of groups, and the groups are connected in parallel, and each group comprises: the intelligent electric energy meter comprises a checking device, a main concentrator, a collector and a plurality of intelligent electric energy meters. And is not limited to only one set of embodiments of the present invention.
FIG. 4 is a schematic diagram of a detection system according to another embodiment of the present invention. As shown in fig. 4, the detection system according to another embodiment of the present invention includes: the intelligent electric energy meter comprises a main server, a data screening module, an environmental sensor, two checking devices, two main concentrators, two standby concentrators, an I-type collector, an II-type collector, a plurality of single-phase intelligent electric energy meters and a plurality of three-phase intelligent electric energy meters, wherein the data screening module is positioned in the main server. The main server issues a meter reading instruction through a communication channel, then the check equipment respectively detects error data of the intelligent electric energy meter connected in series with the check equipment and sends the error data to the main server, meanwhile, the environment sensor acquires environment monitoring data during meter reading and sends the environment monitoring data to the main server, then the main server sends the error data and the environment monitoring data to a data screening module of the main server, and effective error data are screened out and returned to the main server for storage.
The invention has been described with reference to a few embodiments. However, other embodiments of the invention than the one disclosed above are equally possible within the scope of the invention, as would be apparent to a person skilled in the art from the appended patent claims.
Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the technical field, unless explicitly defined otherwise herein. All references to "a/an/the [ device, component, etc ]" are to be interpreted openly as referring to at least one instance of said device, component, etc., unless explicitly stated otherwise. The steps of any method disclosed herein do not have to be performed in the exact order disclosed, unless explicitly stated.
Claims (4)
1. A method for detecting the performance of power utilization information acquisition equipment is characterized by comprising the following steps:
the main server issues a meter reading instruction;
the environment sensor obtains environment monitoring data during meter reading according to the meter reading instruction, and sends the environment monitoring data to a main server, wherein the environment monitoring data comprises: temperature data, humidity data, altitude data, and barometric pressure data;
the check equipment acquires error data of the intelligent electric energy meter during meter reading according to the meter reading instruction and sends the error data to the main server;
the main server screens out effective error data according to the error data and the corresponding environment monitoring data;
wherein, the effective error data is screened out according to the error data and the corresponding environmental monitoring data by the main server, and the effective error data comprises:
calculating an error characteristic value, a temperature characteristic value, a humidity characteristic value, an altitude characteristic value and an air pressure characteristic value according to the error data, the temperature data, the humidity data, the altitude data and the air pressure data respectively;
calculating consistency data according to the altitude characteristic value and the air pressure characteristic value;
calculating an effective error data decision threshold from the temperature characteristic, the humidity characteristic, and the consistency data, wherein the effective error data decision threshold comprises: a first valid error data decision threshold and a second valid error data decision threshold;
comparing the error characteristic value with an effective error data judgment threshold value to screen out effective error data;
the calculating of error eigenvalue, temperature eigenvalue, humidity eigenvalue, altitude eigenvalue and air pressure eigenvalue according to the error data, temperature data, humidity data, altitude data and air pressure data respectively includes:
wherein X ' is error data, X is an error characteristic value, T ' is temperature data, T is a temperature characteristic value, S ' is humidity data, S is a humidity characteristic value, H ' is altitude data, H is altitude characteristic value, P ' is a ratio of barometric pressure data to standard atmospheric pressure, and P is a barometric pressure characteristic value;
the calculating consistency data according to the altitude characteristic value and the air pressure characteristic value comprises the following steps:
if it is
If the air pressure is consistent with the altitude, the air pressure is taken
(ii) a Otherwise, get
Wherein Y is coherency data;
the calculating an effective error data decision threshold from the temperature characteristic value, the humidity characteristic value, and the consistency data includes:
wherein, A is a first effective error data judgment threshold value, and B is a second effective error data judgment threshold value;
comparing the error characteristic value with the effective error data judgment threshold value, screening out effective error data, and including:
if X is larger than or equal to A or X is smaller than or equal to B, the error data corresponding to X is judged to be invalid error data and deleted, otherwise, the error data corresponding to X is judged to be valid error data and reserved.
2. The method of claim 1, further comprising:
and the concentrator acquires the meter reading data of the intelligent electric energy meter through the collector according to the meter reading instruction and sends the meter reading data of the intelligent electric energy meter to the main server.
3. The utility model provides a power consumption information acquisition equipment performance detecting system which characterized in that, the system includes: a main server, an environmental sensor and a verification device,
the main server is respectively connected with the environmental sensor and the checking equipment and is used for issuing a meter reading instruction; receiving and storing environmental monitoring data and error data; screening effective error data according to the error data and the corresponding environment monitoring data;
the calibration equipment is respectively connected with the intelligent electric energy meter and the main server and is used for acquiring error data of the intelligent electric energy meter during meter reading according to the meter reading instruction and sending the error data to the main server;
the environment sensor is connected with the main server and used for acquiring environment monitoring data during meter reading according to the meter reading instruction and sending the environment monitoring data to the main server, wherein the environment monitoring data comprises: temperature data, humidity data, altitude data, and barometric pressure data;
the main server screens out effective error data according to the error data and the corresponding environment monitoring data, and is specifically used for:
calculating an error characteristic value, a temperature characteristic value, a humidity characteristic value, an altitude characteristic value and an air pressure characteristic value according to the error data, the temperature data, the humidity data, the altitude data and the air pressure data respectively;
calculating consistency data according to the altitude characteristic value and the air pressure characteristic value;
calculating an effective error data decision threshold from the temperature characteristic, the humidity characteristic, and the consistency data, wherein the effective error data decision threshold comprises: a first valid error data decision threshold and a second valid error data decision threshold;
comparing the error characteristic value with an effective error data judgment threshold value to screen out effective error data;
the error characteristic value, the temperature characteristic value, the humidity characteristic value, the altitude characteristic value and the air pressure characteristic value are calculated according to the error data, the temperature data, the humidity data, the altitude data and the air pressure data respectively, and the method is specifically used for:
wherein X ' is error data, X is an error characteristic value, T ' is temperature data, T is a temperature characteristic value, S ' is humidity data, S is a humidity characteristic value, H ' is altitude data, H is altitude characteristic value, P ' is a ratio of barometric pressure data to standard atmospheric pressure, and P is a barometric pressure characteristic value;
the consistency data is calculated according to the altitude characteristic value and the air pressure characteristic value, and is specifically used for:
if it is
If the air pressure is consistent with the altitude, the air pressure is taken
(ii) a Otherwise, get
Wherein Y is coherency data;
the effective error data judgment threshold is calculated according to the temperature characteristic value, the humidity characteristic value and the consistency data, and is specifically used for:
wherein, A is a first effective error data judgment threshold value, and B is a second effective error data judgment threshold value;
comparing the error characteristic value with an effective error data judgment threshold value, screening out effective error data, and specifically:
if X is larger than or equal to A or X is smaller than or equal to B, the error data corresponding to X is judged to be invalid error data and deleted, otherwise, the error data corresponding to X is judged to be valid error data and reserved.
4. The system of claim 3, further comprising: a concentrator and a collector, wherein the concentrator is connected with the collector,
the concentrator is respectively connected with the collector and the calibration equipment, and is used for acquiring meter reading data of the intelligent electric energy meter through the collector according to the meter reading instruction and sending the meter reading data of the intelligent electric energy meter to the main server;
the collector is respectively connected with the concentrator and the intelligent electric energy meter and is used for collecting meter reading data of the intelligent electric energy meter.
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Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB1146762A (en) * | 1965-12-15 | 1969-03-26 | Gulf General Atomic Inc | Improvements in or relating to measuring apparatus for vapour flow in an evacuated environment |
| FR2403685A1 (en) * | 1977-09-19 | 1979-04-13 | Rca Corp | CURRENT LIMITER AMPLIFIER |
| CN1474509A (en) * | 2002-08-09 | 2004-02-11 | 华为技术有限公司 | Method for smoothly change-over of main and spare clock for synchronous digital transmission equipment |
| CN1563913A (en) * | 2004-04-21 | 2005-01-12 | 李专业 | Winder of depth measurer |
| CN101079094A (en) * | 2007-04-30 | 2007-11-28 | 中国科学院合肥物质科学研究院 | Meter reading identification device for long distance automatic meter reading system |
| CN101281214A (en) * | 2007-04-02 | 2008-10-08 | 深圳市国电科技通信有限公司 | Remote meter reading system heart-throb frame real-time detection method |
| CN101697247A (en) * | 2009-10-23 | 2010-04-21 | 安徽久大电子技术有限公司 | Communication protocol between concentrator and collectors of low-voltage power carrier meter reading system |
| CN102023270A (en) * | 2010-11-22 | 2011-04-20 | 李颖 | Intelligent power network parameter sensor |
| CN102226898A (en) * | 2011-06-13 | 2011-10-26 | 中国有色金属长沙勘察设计研究院有限公司 | Method and device for controlling monitoring data to be put in storage in online monitoring system |
| CN102296906A (en) * | 2011-07-29 | 2011-12-28 | 高杉 | Automatic window opening and closing system |
| CN102798267A (en) * | 2012-09-04 | 2012-11-28 | 江苏省精创电气股份有限公司 | Method for preventing false alarm caused by temperature rising resulting from defrosting |
| CN103021157A (en) * | 2012-11-26 | 2013-04-03 | 山东电力集团公司电力科学研究院 | Device and method for completely simulating site to detect electricity consumption information acquisition terminal |
| CN103559693A (en) * | 2013-11-18 | 2014-02-05 | 东南大学 | Image local structure self-adaption recovery method based on non-continuity indicator |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102750815B (en) * | 2012-07-03 | 2014-04-09 | 宁夏隆基宁光仪表有限公司 | Concentrator with environmental monitoring function and control method thereof |
| CN103604464B (en) * | 2013-11-22 | 2015-10-28 | 沈阳工程学院 | A kind of environment parameter monitoring system of radio communication electric power transmission line and method |
| CN104215279B (en) * | 2014-09-18 | 2017-02-01 | 贵州电力试验研究院 | Online environment monitoring system and environment monitoring method |
| CN104331067A (en) * | 2014-10-14 | 2015-02-04 | 苏州德鲁森自动化系统有限公司 | Constant-temperature and constant-humidity system fault detection method |
| CN105006135A (en) * | 2015-06-29 | 2015-10-28 | 赖玉春 | Remote automatic meter reading concentrator system |
| CN105096560A (en) * | 2015-07-08 | 2015-11-25 | 安徽瑞宏信息科技有限公司 | Energy consumption data acquisition unit and acquisition method based on multi-protocol parallel acquisition technology |
| CN106093838B (en) * | 2016-07-25 | 2019-03-08 | 中国南方电网有限责任公司电网技术研究中心 | Gate energy meter remote online method of calibration and system |
-
2017
- 2017-04-10 CN CN201710230072.9A patent/CN107085934B/en active Active
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB1146762A (en) * | 1965-12-15 | 1969-03-26 | Gulf General Atomic Inc | Improvements in or relating to measuring apparatus for vapour flow in an evacuated environment |
| FR2403685A1 (en) * | 1977-09-19 | 1979-04-13 | Rca Corp | CURRENT LIMITER AMPLIFIER |
| CN1474509A (en) * | 2002-08-09 | 2004-02-11 | 华为技术有限公司 | Method for smoothly change-over of main and spare clock for synchronous digital transmission equipment |
| CN1563913A (en) * | 2004-04-21 | 2005-01-12 | 李专业 | Winder of depth measurer |
| CN101281214A (en) * | 2007-04-02 | 2008-10-08 | 深圳市国电科技通信有限公司 | Remote meter reading system heart-throb frame real-time detection method |
| CN101079094A (en) * | 2007-04-30 | 2007-11-28 | 中国科学院合肥物质科学研究院 | Meter reading identification device for long distance automatic meter reading system |
| CN101697247A (en) * | 2009-10-23 | 2010-04-21 | 安徽久大电子技术有限公司 | Communication protocol between concentrator and collectors of low-voltage power carrier meter reading system |
| CN102023270A (en) * | 2010-11-22 | 2011-04-20 | 李颖 | Intelligent power network parameter sensor |
| CN102226898A (en) * | 2011-06-13 | 2011-10-26 | 中国有色金属长沙勘察设计研究院有限公司 | Method and device for controlling monitoring data to be put in storage in online monitoring system |
| CN102296906A (en) * | 2011-07-29 | 2011-12-28 | 高杉 | Automatic window opening and closing system |
| CN102798267A (en) * | 2012-09-04 | 2012-11-28 | 江苏省精创电气股份有限公司 | Method for preventing false alarm caused by temperature rising resulting from defrosting |
| CN103021157A (en) * | 2012-11-26 | 2013-04-03 | 山东电力集团公司电力科学研究院 | Device and method for completely simulating site to detect electricity consumption information acquisition terminal |
| CN103559693A (en) * | 2013-11-18 | 2014-02-05 | 东南大学 | Image local structure self-adaption recovery method based on non-continuity indicator |
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