CN110197221A - The method for determining intelligence instrument meter-copy collector installation site based on analytic hierarchy process (AHP) - Google Patents

The method for determining intelligence instrument meter-copy collector installation site based on analytic hierarchy process (AHP) Download PDF

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Publication number
CN110197221A
CN110197221A CN201910443962.7A CN201910443962A CN110197221A CN 110197221 A CN110197221 A CN 110197221A CN 201910443962 A CN201910443962 A CN 201910443962A CN 110197221 A CN110197221 A CN 110197221A
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group
distance
intelligence instrument
lora
intelligence
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CN110197221B (en
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曹献炜
李建炜
常兴智
张军
陈良才
钟大磊
陈梦君
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Ningxia LGG Instrument Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/23Clustering techniques
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/14Relay systems
    • H04B7/15Active relay systems
    • H04B7/155Ground-based stations
    • GPHYSICS
    • G08SIGNALLING
    • G08CTRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C17/00Arrangements for transmitting signals characterised by the use of a wireless electrical link
    • G08C17/02Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

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  • Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Theoretical Computer Science (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • General Engineering & Computer Science (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
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  • Artificial Intelligence (AREA)
  • General Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computer Networks & Wireless Communication (AREA)
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  • Mobile Radio Communication Systems (AREA)
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Abstract

This application provides a kind of methods for determining intelligence instrument meter-copy collector installation site based on analytic hierarchy process (AHP), need to establish the customer profile information of multiple Lora intelligence instruments, and the longitude and latitude of multiple Lora intelligence instruments is determined according to customer profile information;Using the latitude and longitude information in the customer profile information for the intelligence instrument newly installed, the distance between each intelligence instrument is calculated;It safeguards the parameter of current system, the distance R of field survey this area Lora intelligence instrument telecommunication, and the R value is entered into system;The position of Lora intelligence instrument wireless remote transmission intelligent instrument meter-copy collector installation is determined using clustering methodology;The algorithm that the clustering methodology uses uses bottom-up hierarchical clustering, guarantee that Lora signal covers all Lora intelligence instruments, the case where installation number and concentrator signal for reducing concentrator interfere with each other, the success rate for increasing Lora wireless remote transmission intelligent instrument and concentrator communication, improves the stability of communication and the correctness of data.

Description

The method for determining intelligence instrument meter-copy collector installation site based on analytic hierarchy process (AHP)
Technical field
The present invention relates to intelligence instrument meter-copy collector installation site technical fields, more particularly to true based on analytic hierarchy process (AHP) Determine the method for intelligence instrument meter-copy collector installation site.
Background technique
In recent years, with the extensive use of intelligence instrument, data acquire the mode for also gradually disengaging manual metering, more Rely on the acquisition of wireless remote transmission data.Instantly remotely control copy reading intelligence instrument mainly passes through Lora and NB-Iot telecommunication.
Wireless remote transmission intelligent meter is grouped as by mechanical base table and electronic control unit, even if electronic section breaks down, intelligence Energy table still accurately measures, and wireless communication can under the premise of taking into account low-power consumption using the LoRa wireless communication technique of mainstream Realize the communication function of long range.For concentrator uplink by public network and master station communication, downlink is wirelessly logical with intelligent meter by LoRa Letter, communication data are encrypted using soft and hardware, are guaranteed data security.For that can be carried out by repeater apart from too far intelligent meter Relay forwarding communication.
At present during Lora data acquisition, due to the diversity and complexity of Lora intelligence instrument installation environment Property, the data acquisition success rate and correctness of Lora intelligence instrument be not high.
It is currently installed on the experience progress addressing installation that concentrator relies primarily on engineers and technicians.Intelligence is likely to occur after installation Energy table causes signal of communication weak with concentrator hypertelorism, the acquisition failure of table data.It may also be installed in somewhere concentrator close Collection leads to the additional wasting of resources.
Summary of the invention
This application provides a kind of method for determining intelligence instrument meter-copy collector installation site based on analytic hierarchy process (AHP), with Solve the diversity and complexity due to Lora intelligence instrument installation environment, the data acquisition success rate and just of Lora intelligence instrument The not high problem of true property.
Above-mentioned technical purpose of the invention has the technical scheme that
A method of intelligence instrument meter-copy collector installation site is determined based on analytic hierarchy process (AHP), specifically includes following step It is rapid:
It needs to establish the customer profile information of multiple Lora intelligence instruments, determines multiple Lora intelligence according to customer profile information The longitude and latitude of energy instrument;
Using the latitude and longitude information in the customer profile information for the intelligence instrument newly installed, calculate each intelligence instrument it Between distance;
Safeguard the parameter of current system, the distance R of field survey this area Lora intelligence instrument telecommunication, and by the R Value is entered into system;
The position of Lora intelligence instrument wireless remote transmission intelligent instrument meter-copy collector installation is determined using clustering methodology;
The algorithm that the described clustering methodology uses makees each table before using bottom-up hierarchical clustering, cluster to start For an individual group, then the gradually nearest group of combined distance, then updates new group and other groups using average link method The distance between, until all groups merge into a group, or the condition that satisfaction cluster terminates;
After end of clustering, determines the position of concentrator installation, its central point, each group of center are determined to each group after cluster Point is exactly the position that install Lora intelligence instrument concentrator;
The case where for outlier (single table be one group) after end of clustering, if the table with can be with apart from nearest group By repeater communication then can reload signal repeater, otherwise the table needs separately installed concentrator.
Further, the latitude and longitude information in the customer profile information according to using the intelligence instrument newly installed, calculates The distance between each intelligence instrument out uses Euclidean distance to define any two Lora intelligence instrument using in clustering methodology Distance, formula isAny two are calculated by the latitude and longitude information of Lora intelligence instrument The distance between Lora intelligence instrument, obtained data result integrated morphology are (intelligence instrument 1, intelligence instrument 2, distance d12), Next step polymerization process, no longer normalized are directly used in apart from calculated result.
Further, the analytic hierarchy process (AHP) is to improve bottom-up hierarchical clustering algorithm, it is based primarily upon sparse matrix shape Each table, is considered as single group by the distance similarity degree of formula first, then will aggregate into new group apart from nearest group, judgement Whether current group, which can continue, polymerize, until polymerization terminates;Detailed process is as follows:
1) judge whether the group number of current residual is greater than 1, group refers to single Lora intelligence instrument or aggregated Lora intelligence instrument population groups, if only remaining a group, cluster process terminates;
If 2) multiple groups remaining, two groups A and B that wherein distance is nearest are found;
3) judge the distance between A and B whether to be greater than preset threshold that (and the communication distance of scene Lora intelligence instrument has Close), that is, cluster termination condition;If then cluster process terminates;
4) if it is less than preset threshold, A and B are merged into new group C, and use average link (Average Linkage) Update the distance of C to every other group;
5) repetitive process 1 to 4 is until end of clustering.
Further, using average link method when the distance between the calculating group and group;
I.e. the distance between two groups be in group A all tables to group B in all tables distance arithmetic average;
All tables are constituted the data structure of a two-dimentional doubly linked list by polymerization in space before starting, polymerize each time Two groups before polymerization are deleted from doubly linked list afterwards, new group after polymerization are placed on to the initial position of doubly linked list, then The distance value of new group and other groups after updating polymerization.
Further, the cluster termination condition is when the distance between the smallest two groups of all group inner distances are greater than locality Lora Intelligent Instrument telecommunication distance R.
The technical scheme provided by the application includes following advantageous effects: one kind determining Intelligent Instrument based on analytic hierarchy process (AHP) The method of table meter-copy collector installation site, its special feature is that: in the customer profile information using new installation intelligence instrument Latitude and longitude information, the distance between computational intelligence instrument;
Then in conjunction with live geographical environment and building etc. factors, field survey locality Lora intelligence instrument telecommunication away from From, and the value is saved in system to use as step analysis termination condition;
The algorithm that the present invention uses uses bottom-up hierarchical clustering, and cluster starts preceding using each table as individual one A group, then the gradually nearest group of combined distance, then updates the distance between new group and other groups using average link method, Until all groups merge into a group, or the condition that satisfaction cluster terminates.
After end of clustering, its central point, each group of central point, which should exactly install Lora collection, to be determined to each group after cluster The position of middle device.The case where for outlier (single table be one group) after end of clustering, if the table with apart from nearest group Can be communicated by repeater then can reload signal repeater, otherwise the table needs separately installed concentrator;
Lora concentrator installation site is determined using analytic hierarchy process (AHP), guarantees that Lora signal covers all Lora Intelligent Instruments The case where table, the installation number and concentrator signal for reducing concentrator interfere with each other, increase Lora wireless remote transmission intelligent instrument with The success rate of concentrator communication, improves the stability of communication and the correctness of data.
Detailed description of the invention
In order to illustrate more clearly of the technical solution of the application, letter will be made to attached drawing needed in the embodiment below Singly introduce, it should be apparent that, for those of ordinary skills, without any creative labor, It is also possible to obtain other drawings based on these drawings.
Fig. 1 is the application programming overall flow figure;
Fig. 2 is the schematic diagram step by step of step S4 in the application figure;
Fig. 3 is the flow chart of the application analytic hierarchy process (AHP);
Fig. 4 is the application legend schematic diagram;
Fig. 5 is the working state figure of concentrator in the application.
Specific embodiment
The drawings herein are incorporated into the specification and forms part of this specification, and shows the implementation for meeting the application Example, and together with specification it is used to explain the principle of the application.
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below There is attached drawing needed in technical description to be briefly described, it should be apparent that, for those of ordinary skill in the art Speech, without any creative labor, is also possible to obtain other drawings based on these drawings.
Attached drawing 1 is please referred to, the figure shows the application programming overall flow figures provided in this embodiment.
A kind of method that intelligence instrument meter-copy collector installation site is determined based on analytic hierarchy process (AHP) provided by the present application, tool Body the following steps are included:
S1. it needs to establish the customer profile information of multiple Lora intelligence instruments, is determined according to customer profile information multiple The longitude and latitude of Lora intelligence instrument.
S2. according to the latitude and longitude information in the customer profile information using the intelligence instrument newly installed, each intelligence is calculated Can the distance between instrument, using the distance for using Euclidean distance to define any two Lora intelligence instrument in clustering methodology, Formula isAny two Lora intelligence is calculated by the latitude and longitude information of Lora intelligence instrument The distance between instrument, obtained data result integrated morphology are (intelligence instrument 1, intelligence instrument 2, distance d12), and distance calculates As a result next step polymerization process, no longer normalized are directly used in.
S3. the parameter of maintenance current system, the distance R of field survey this area Lora intelligence instrument telecommunication, and will The R value is entered into main station system.
Wherein the system is based on B/S framework, mainly realizes the data of real-time copy reading wireless remote transmission intelligent meter, user's dosage Statistical analysis, periodic fee clearing and subscriber payment function.
Referring to Fig. 2, S4. determines that Lora intelligence instrument wireless remote transmission intelligent instrument meter-copy collector is pacified using analytic hierarchy process (AHP) The position of dress.
S41. analytic hierarchy process (AHP) is to improve bottom-up hierarchical clustering algorithm, is based primarily upon the distance of sparse matrix form Each table is considered as single group by similarity measurements first, then will be aggregated into new group apart from nearest group, is judged current group Whether can continue to polymerize, until polymerization terminates;(referring to Fig. 3-4) detailed process is as follows:
1) judge whether the group number of current residual is greater than 1, group refers to single Lora intelligence instrument or aggregated Lora intelligence instrument population groups, if only remaining a group, cluster process terminates;
If 2) multiple groups remaining, two groups A and B that wherein distance is nearest are found;
3) judge the distance between A and B whether to be greater than preset threshold that (and the communication distance of scene Lora intelligence instrument has Close), that is, cluster termination condition;If then cluster process terminates;
4) if it is less than preset threshold, A and B are merged into new group C, and use average link (Average Linkage) Update the distance of C to every other group;
5) repetitive process 1 to 4 is until end of clustering.
S42. using average link method when the distance between the calculating group and group;
I.e. the distance between two groups be in group A all tables to group B in all tables distance arithmetic average;
All tables are constituted the data structure of a two-dimentional doubly linked list by polymerization in space before starting, polymerize each time Two groups before polymerization are deleted from doubly linked list afterwards, new group after polymerization are placed on to the initial position of doubly linked list, then The distance value of new group and other groups after updating polymerization.
S43. cluster termination condition is to be greater than Lora intelligence in locality when the distance between the smallest two groups of all group inner distances Instrument telecommunication distance R.
S44. the position of concentrator installation is determined.
The geometric center point of each group is exactly to need to install the position of concentrator after polymerization;The group being polymerized by multiple tables Geometric center point is approximately equal at the center of the line of two farthest tables of the group inner distance.
For table single after end of clustering be one group the case where, if the table with apart from nearest group can by install additional in After device communication then can between the table and nearest group reload signal repeater, otherwise the table needs separately installed concentrator.
Referring to Fig. 5, the service system of above-described embodiment is implemented on open source software basis, and is sufficiently combined and specifically answered With field and the relevant technologies development, pass through the algorithm improvement to the classical data algorithm hierarchical clustering in algorithms library, science Analysis concentrator installation site, improve the meter reading of Lora concentrator success rate.
It should be noted that the relational terms of such as " first " and " second " or the like be used merely to an entity or Operation is distinguished with another entity or operation, and without necessarily requiring or implying between these entities or operation, there are any This actual relationship or sequence.Moreover, the terms "include", "comprise" or its any other variant be intended to it is non-exclusive Property include so that including the article of a series of elements or equipment not only includes those elements, but also including not having The other element being expressly recited, or further include for elements inherent to such a process, method, article, or device.Do not having There is the element limited in the case where more limiting by sentence "including a ...", it is not excluded that in the mistake including the element There is also other identical elements in journey, method, article or equipment.
The above is only the specific embodiment of the application, is made skilled artisans appreciate that or realizing this Shen Please.Various modifications to these embodiments will be apparent to one skilled in the art, as defined herein General Principle can be realized in other embodiments without departing from the spirit or scope of the application.Therefore, the application It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one The widest scope of cause.
It should be understood that the application is not limited to the content for being described above and being shown in the accompanying drawings, and can To carry out various modifications and change without departing from the scope.Scope of the present application is only limited by the accompanying claims.

Claims (5)

1. a kind of method for determining intelligence instrument meter-copy collector installation site based on analytic hierarchy process (AHP), which is characterized in that specific The following steps are included:
It needs to establish the customer profile information of multiple Lora intelligence instruments, determines multiple Lora Intelligent Instruments according to customer profile information The longitude and latitude of table;
Using the latitude and longitude information in the customer profile information for the intelligence instrument newly installed, calculate between each intelligence instrument Distance;
It safeguards the parameter of current system, the distance R of field survey this area Lora intelligence instrument telecommunication, and the R value is recorded Enter into system;
The position of Lora intelligence instrument wireless remote transmission intelligent instrument meter-copy collector installation is determined using clustering methodology;
The algorithm that the described clustering methodology uses uses bottom-up hierarchical clustering, and cluster starts preceding using each table as single An only group, then the gradually nearest group of combined distance, then updates new group between other groups using average link method Distance, until all groups merge into a group, or meet the condition that cluster terminates;
After end of clustering, determines the position of concentrator installation, its central point is determined to each group after cluster, each group of central point is just It is the position that install Lora intelligence instrument concentrator;
The case where for outlier (single table be one group) after end of clustering, if the table can pass through with apart from nearest group Repeater communication then can reload signal repeater, otherwise the table needs separately installed concentrator.
2. the method according to claim 1 that intelligence instrument meter-copy collector installation site is determined based on analytic hierarchy process (AHP), It is characterized in that, the latitude and longitude information in the customer profile information according to using the intelligence instrument newly installed, calculates every The distance between a intelligence instrument, using in clustering methodology use Euclidean distance define any two Lora intelligence instrument away from From formula isAny two Lora is calculated by the latitude and longitude information of Lora intelligence instrument The distance between intelligence instrument, obtained data result integrated morphology are (intelligence instrument 1, intelligence instrument 2, distance d12), distance Calculated result is directly used in next step polymerization process, no longer normalized.
3. the method according to claim 1 that intelligence instrument meter-copy collector installation site is determined based on analytic hierarchy process (AHP), It is characterized in that, the analytic hierarchy process (AHP) is to improve bottom-up hierarchical clustering algorithm, it is based primarily upon sparse matrix form Each table is considered as single group by distance similarity degree first, then will aggregate into new group apart from nearest group, judgement is current Group whether can continue to polymerize, until polymerization terminate;Detailed process is as follows:
1) judge whether the group number of current residual is greater than 1, group refers to single Lora intelligence instrument or aggregated Lora Intelligence instrument population groups, if only remaining a group, cluster process terminates;
If 2) multiple groups remaining, two groups A and B that wherein distance is nearest are found;
3) judge whether the distance between A and B are greater than preset threshold (and the scene communication distance of Lora intelligence instrument is related), i.e., Cluster termination condition;If then cluster process terminates;
4) if it is less than preset threshold, A and B are merged into new group C, and update C using average link (Average Linkage) To every other group of distance;
5) repetitive process 1 to 4 is until end of clustering.
4. the method according to claim 3 that intelligence instrument meter-copy collector installation site is determined based on analytic hierarchy process (AHP), It is characterized in that, using average link method when the distance between the calculating group and group;
I.e. the distance between two groups be in group A all tables to group B in all tables distance arithmetic average;
All tables are constituted the data structure of a two-dimentional doubly linked list by polymerization in space before starting, will after polymerizeing each time Two groups before polymerization are deleted from doubly linked list, and new group after polymerization is placed on to the initial position of doubly linked list, is then updated The distance value of new group and other groups after polymerization.
5. the method according to claim 3 that intelligence instrument meter-copy collector installation site is determined based on analytic hierarchy process (AHP), It is characterized in that, the cluster termination condition is when the distance between the smallest two groups of all group inner distances are greater than locality Lora intelligence It can instrument telecommunication distance R.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112669586A (en) * 2020-12-16 2021-04-16 宁夏隆基宁光仪表股份有限公司 Intelligent instrument remote monitoring system and method based on Android system

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2001020536A2 (en) * 1999-09-15 2001-03-22 Mitokor Computer systems and methods for hierarchical cluster analysis ofbiological data
WO2007147231A1 (en) * 2006-05-31 2007-12-27 Nortel Networks Limited Methods and systems for wireless networks with relays
KR20090011674A (en) * 2007-07-27 2009-02-02 (주)누리텔레콤 Wireless remote meter reading system and method
US20140089036A1 (en) * 2012-09-26 2014-03-27 Xerox Corporation Dynamic city zoning for understanding passenger travel demand
CN103903474A (en) * 2014-04-09 2014-07-02 浙江工业大学 Motorcade travelling induction method based on K-means clustering
CN105718465A (en) * 2014-12-02 2016-06-29 阿里巴巴集团控股有限公司 Geofence generation method and device
WO2017136132A1 (en) * 2016-02-03 2017-08-10 Microsoft Technology Licensing, Llc Apparatus and method for mobile communication device clustering
CN107635238A (en) * 2017-08-28 2018-01-26 昆明理工大学 A kind of chargeable sensor network arrangement of repeaters method of multi-hop wireless based on Clustering
US20180131575A1 (en) * 2016-11-07 2018-05-10 Beijing Jiaotong University Method for clustering wireless channel mpcs based on a kpd doctrine
US20180322363A1 (en) * 2015-03-26 2018-11-08 Oracle International Corporation Multi-distance clustering
CN108833144A (en) * 2018-05-30 2018-11-16 南京海兴电网技术有限公司 A kind of intelligent electric meter concentrator site selecting method based on class statistic model
CN109766399A (en) * 2018-12-29 2019-05-17 神思电子技术股份有限公司 A kind of trajectory-based base station drive test point selection method

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2001020536A2 (en) * 1999-09-15 2001-03-22 Mitokor Computer systems and methods for hierarchical cluster analysis ofbiological data
WO2007147231A1 (en) * 2006-05-31 2007-12-27 Nortel Networks Limited Methods and systems for wireless networks with relays
KR20090011674A (en) * 2007-07-27 2009-02-02 (주)누리텔레콤 Wireless remote meter reading system and method
US20140089036A1 (en) * 2012-09-26 2014-03-27 Xerox Corporation Dynamic city zoning for understanding passenger travel demand
CN103903474A (en) * 2014-04-09 2014-07-02 浙江工业大学 Motorcade travelling induction method based on K-means clustering
CN105718465A (en) * 2014-12-02 2016-06-29 阿里巴巴集团控股有限公司 Geofence generation method and device
US20180322363A1 (en) * 2015-03-26 2018-11-08 Oracle International Corporation Multi-distance clustering
WO2017136132A1 (en) * 2016-02-03 2017-08-10 Microsoft Technology Licensing, Llc Apparatus and method for mobile communication device clustering
US20180131575A1 (en) * 2016-11-07 2018-05-10 Beijing Jiaotong University Method for clustering wireless channel mpcs based on a kpd doctrine
CN107635238A (en) * 2017-08-28 2018-01-26 昆明理工大学 A kind of chargeable sensor network arrangement of repeaters method of multi-hop wireless based on Clustering
CN108833144A (en) * 2018-05-30 2018-11-16 南京海兴电网技术有限公司 A kind of intelligent electric meter concentrator site selecting method based on class statistic model
CN109766399A (en) * 2018-12-29 2019-05-17 神思电子技术股份有限公司 A kind of trajectory-based base station drive test point selection method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
杨中翔等: "基于LORA的物联网燃气表抄表系统设计", 《电子技术与软件工程》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112669586A (en) * 2020-12-16 2021-04-16 宁夏隆基宁光仪表股份有限公司 Intelligent instrument remote monitoring system and method based on Android system

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