CN107708125B - LTE230 power system private network optimization method - Google Patents

LTE230 power system private network optimization method Download PDF

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CN107708125B
CN107708125B CN201710572612.1A CN201710572612A CN107708125B CN 107708125 B CN107708125 B CN 107708125B CN 201710572612 A CN201710572612 A CN 201710572612A CN 107708125 B CN107708125 B CN 107708125B
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base station
grid
terminal
power system
core network
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CN107708125A (en
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汤亿则
王彦波
毛秀伟
何东
张明熙
叶纪伟
吕思达
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Potevio Information Technology Co Ltd
Jiaxing Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
Information and Telecommunication Branch of State Grid Zhejiang Electric Power Co Ltd
Haiyan Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
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Potevio Information Technology Co Ltd
Jiaxing Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
Information and Telecommunication Branch of State Grid Zhejiang Electric Power Co Ltd
Haiyan Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18Network planning tools
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimising operational condition
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W28/00Network traffic management; Network resource management
    • H04W28/02Traffic management, e.g. flow control or congestion control
    • H04W28/08Load balancing or load distribution
    • 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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  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The invention relates to a method for optimizing a private network of an LTE230 power system, which solves the defects of the prior art and adopts the technical scheme that: the method comprises the following steps: a, establishing an LTE230 power system private network, adjusting an antenna and transmitting power to realize optimal coverage, and carrying out capacity balance on a base station; b, performing interference positioning investigation and adjusting; and C, optimizing the stability of the core network system through main and standby configuration. The method comprises the steps of firstly, optimizing coverage, optimizing service performance on the basis of ensuring coverage, and finally, carrying out integral optimization. And finally, the effect of improving the reliability of data transmission is achieved.

Description

LTE230 power system private network optimization method
Technical Field
The patent relates to a power grid construction method, in particular to a LTE230 power system private network optimization method.
Background
The power communication network is used as an important component of a power grid, a technical support means and an infrastructure, and plays an important role in the aspects of ensuring safe operation of the power grid, market management, company modernization management and the like.
Through construction for many years, the power grid communication access network is already in an initial scale, and the optical fiber network is combined with a public network leasing channel to support information communication of a whole province power grid, so that the power supply reliability is improved, and the service level and the enterprise image are improved to play an important supporting role. However, with the background of continuous expansion of the scale of the power terminal and the form of business application, some problems are gradually exposed, and the problems of high investment, difficult coverage, difficult maintenance, long construction period and the like are mainly reflected in the optical fiber network. The power service has multiple points and wide range of terminals, and the wired network represented by the optical fiber network is difficult to completely and quickly cover. The renting wireless public network channel has the problems that electric power data is unsafe, a communication network is uncontrollable, channels compete with the public, annual high renting fees are paid, a terminal needs to be replaced when the 2G/3G network is quitted, and the like. For the above reasons, it is necessary for power companies to construct their own private wireless networks.
One of the existing solutions is to introduce the TD-LTE230 wireless private network technology into the smart grid, effectively solve the problem of service access of the end of the grid in the last kilometer, provide reliable guarantee for bearing various power services, and provide construction, management and application experience for the future comprehensive popularization of the wireless private network. However, the existing TD-LTE230 wireless network has no better base station site selection method, the site selection of the base station needs manual selection through experience, and the position of the site selection is poor due to subjectivity, so that the site selection cost of the base station is higher, and the efficiency is lower.
Chinese patent publication No. CN104378769, published 2015, 2/25, entitled coverage prediction-based automatic point selection method for planned points of TD-SCDMA base station, and the application discloses that the core steps of the automatic point selection method for planned points of base stations include: acquiring cell information of a macro base station to obtain a set A; calculating the maximum value and the minimum value of the longitude and latitude of the cells in the set A and rounding according to the step length; dividing the longitude and latitude from the minimum value to the maximum value according to step length; pairing according to longitude and latitude to obtain a set B; initializing the attribute of the set B; and collecting grid ground object information and the like of the set B. The mobile network has the disadvantages that most of terminals corresponding to the mobile network are mobile terminals, and the terminals required in the construction of a general power grid are fixed terminals, and the fixed terminals can be close to a base station as much as possible, and the obstruction of high obstructions in a transmission path can be considered, so that a better communication effect can be achieved by reasonably planning and selecting addresses when a special network is constructed for the power grid. Meanwhile, the requirements on the safety and reliability of power grid equipment are higher than those of a mobile network, so that a private network optimization method for an LTE230 power system is developed.
Disclosure of Invention
The invention aims to solve the problem that the requirements on safety and reliability of power grid equipment in the prior art are higher than those of a mobile network, and therefore a layout construction method for a power private network is needed, and provides a private network optimization method for an LTE230 power system.
The technical scheme adopted by the invention for solving the technical problems is as follows: a LTE230 power system private network optimization method comprises the following steps:
a, establishing an LTE230 power system private network, adjusting an antenna and transmitting power to realize optimal coverage, and carrying out capacity balance on a base station;
b, performing interference positioning investigation and adjusting;
and C, optimizing the stability of the core network system through main and standby configuration.
The network optimization work idea is to make coverage optimization at first, optimize service performance on the basis that coverage can be guaranteed, and finally perform overall optimization. The LTE network optimization principle contains the following 3 aspects.
Optimal system coverage, which is a very important ring in the optimization segment. In the coverage area of the system, the signals at most places meet the requirement of the minimum level required by the service by means of adjusting antennas, power and the like, the optimal coverage is realized by using limited power as far as possible, and the problems that a user cannot access the network or call drop, switching failure and the like caused by weak coverage of the system are reduced. The position of a base station, the setting of antenna parameters and the setting of transmitting power can be reasonably planned according to a wireless environment in an engineering construction period, and the antenna parameters and the setting of power can be further adjusted according to actual test conditions in subsequent network optimization, so that network coverage is optimized.
The system interference is minimized, and the interference is generally divided into two categories, one category is the interference caused in the system, such as unreasonable coverage, improper parameter configuration, GPS deviation, RRU abnormal work and the like; the other is extra-system interference. Both types of interference directly affect network quality. Through coverage optimization, power parameters, power control parameters, algorithm parameters and the like of various services are adjusted, and the interference in the system is minimized as much as possible; and the external interference is checked and positioned, so that the external interference of the system is minimized as much as possible.
Capacity balancing, namely reasonably controlling the load of the base station by adjusting the coverage area of the base station to balance the load as much as possible.
Preferably, in step a, the engineering construction period makes signals at most places meet the requirement of the lowest level required by the service by adjusting the antenna and adjusting the power means according to the wireless environment.
Preferably, in the step B, external field drive test is further performed, the longitude and latitude and the range of the weak coverage area with low SINR are determined, and a network adjustment scheme and a blind-patching scheme are performed; the network adjustment scheme comprises the following steps: a base station directional-to-omnidirectional scheme and/or a base station relocation scheme; the blind-repairing scheme comprises the following steps: and establishing a micro base station scheme and/or performing extended coverage on the single-point condition by adopting relay equipment.
Preferably, when the LTE230 power system private network is established, the terminal device starts a spectrum sensing function, scans and locates around the terminal after the interference is found when the interference location investigation is performed in step B, determines the interference source influence direction, and optimizes the terminals around the interference source influence by adopting an antenna remote mode.
Preferably, in step C, when performing stability optimization, two core network element EPC devices are configured, the two core network element EPC devices and the base station eNB are all interconnected in an S1FLEX manner, the two core network element EPC devices and the master station server are all interconnected, the two core network element EPC devices are networked in a POOL manner, the two core network element EPC devices and the base station are connected simultaneously and operate simultaneously to form two core networks with the same network structure, when performing a service, one of the two core networks is a standby core network, and terminal devices of the LTE230 power system private network are configured in order of the MMEs on the base station eNB.
Preferably, the base station configures a backup battery or a UPS power supply, the base station determines a master core network device and a backup core network device according to a configuration in advance, fixedly allocates a terminal service to one master core network device, when the base station detects a failure of one master core network, the base station detects an abnormal link state between the base station device and the core network device, releases a communication module attached to the core network, re-initiates attachment of the released communication module, and accesses the communication module to the backup core network device.
Preferably, on a 10kV communication access network, a wireless terminal applied to distribution automation is installed and connected with an FTU or TTU or DTU distribution automation terminal according to the needs of power services, and is accessed to a wireless base station through a wireless link to cover the area where the switching station, the ring main unit, the column switch and other distribution equipment are located, data of the distribution automation terminal is transmitted to a remote monitoring master station system through a dedicated channel of the wireless system, and an issuing instruction of the monitoring master station is also transmitted to the distribution automation terminal through a wireless network to control the operation of the distribution automation terminal.
Preferably, in the step a, a map of a target area, an own base station alternative point, a public base station alternative point, planning frequency pool information and terminal equipment information of the power system are obtained; selecting a self-owned base station alternative point and a public base station alternative point of the power system which meet the requirements as base stations, setting the radiation range of each base station, carrying out equivalent gridding division on a target area, and manually setting the parameters of each grid;
and selecting the base station combination with the coverage area larger than the set value and the repeated coverage area smaller than the set value.
The invention selects all standard base station combinations as alternative base station combinations, configures terminal equipment with more data generated as much as possible at the accessories of the base stations by introducing concepts of flow density and transmission degree, reduces the distance between the base stations and the terminal equipment, reduces rain attenuation or other path loss, selects a proper base station for the equipment terminal, avoids too many high buildings or similar high buildings between the base stations and the terminal as much as possible, prevents the obstruction of the high buildings or similar high buildings to radiation waves, and achieves the effect of improving the reliability of data transmission. In the invention, the sources of the terminal data are all provided by an electric power system according to the daily running state of various terminals, the terminal equipment in the invention is generally fixed terminals, the number of the mobile terminals in the invention is small, the mobile terminals generally comprise mobile overhaul equipment, and the data consumption is not large, so the data consumption is not considered in the invention. The power system self-owned base station alternative points are generally power system self property, the public base station alternative points select the external rental base stations, the power system self property is convenient to maintain and convenient to manage, and meanwhile, the rental cost is low, so that the power system self-owned base station alternative points are preferred in base station selection.
Preferably, for each base station combination, the base station correspondence substep is performed:
base station correspondence substep a': selecting all grids i radiated by a plurality of base stations in a regional map; selecting all base stations j radiated to the grid i; acquiring the height Gijk of a high building Fijk between i and a base station j in a regional map, wherein K is the number of the high buildings between a grid i and the base station j, and the high buildings are buildings with the height larger than an initial value ht;
base station correspondence substep B': computing
Figure GDA0002306739310000041
LijqFor a tall building FijkA distance value from base station j; dijIs the barrier coefficient between grid i and base station j;
correspondence calculation substep C': calculating Tij=1/(Dij×Lij);LijIs the distance, T, between the center point of grid i and base station jijRepresenting grid i and base stationCorrelation coefficient between j, TijThe larger the grid i is, the higher the association degree between the grid i and the base station j is, and each grid i selects the base station j with the highest association degree as the base station with the corresponding relation; through the formula ToAiCalculating a flow density ToA in the i-th cell region by K × (T1 × N1 × P1+ T2 × N2 × P2+. + Tn × Nn × Pn)/Si(ii) a The flow density is a quantitative parameter for representing the distribution density of power communication demands, and is an average information communication demand value per square km in Kbps/km2Metering, namely, the sum of transmission capacities of communication data required by power terminals in a unit square is represented, K is a service concurrency coefficient in a grid area and is manually set, Pn is a redundancy coefficient, each redundancy coefficient is related to the type and the frequency pool of terminal equipment, Pn is manually set, Tn is an information communication requirement value of each terminal type, Nn is the number of terminals corresponding to the Tn type in the grid area, and S is the area of the grid area;
calculating the sum of the transmission degrees of all grids in each base station combination, wherein the transmission degree of the grid i is calculated by the following formula: qi=ToAi/LiObtaining; l isiAnd for the distance value between the center position of the grid i and the base station with the corresponding relation, carrying out total transmission degree on all the base station combinations to sequence from high to low. In the invention, the gridding division method can be divided in a rectangular division mode, can also be divided in a regular hexagonal division mode, and can also be divided in a regular triangular division mode, and the division methods are more and can be set manually. The invention selects the radiation area division of unequal areas, and in the invention, traversing the combination of radiation of areas such as all base station alternative points and the like: and drawing radiation areas of all base station alternative points, storing the radiation areas, overlapping, and removing the repeated radiation areas after overlapping to obtain base stations larger than the set value of the areas. For example A, B, C, D, E exists within the same region, at which point, for A, B, C, D, E, after radiation is established, it is seen whether the radiation coverage area of a is greater than 90% of the area of the target region, whether the radiation coverage area of a plus B is greater than 90% of the area of the target region, and if not, whether the radiation coverage area of a plus B plus C is greater than 90% of the area of the target region; up toAfter the condition is met, continuing the step from B until the combined coverage area of all the base stations can be larger than 90% of the area of the target area; and then taking out the base station combinations with the repeated coverage rate larger than a set value, wherein the rest base station combinations are standard base station combinations. This step is typically done by a computer. Meanwhile, the configuration of the base station corresponding to the grid which receives the radiation of the plurality of base stations is more critical; the invention fully considers the distance between the grids and the base station and the situation of high-rise obstruction between the base station and the grids, and can freely select a proper path through the adjustment of parameters. The arrangement is that a large amount of data are strived to be close to the periphery of the base station as far as possible, so that the distance between the base station and the terminal equipment for sending a large amount of data is reduced, rain attenuation or other distance loss is reduced, meanwhile, a proper base station is selected for the equipment terminal, excessive high buildings or similar high buildings are avoided as far as possible between the base station and the terminal, the obstruction of the high buildings or the similar high buildings to radiation waves is prevented, and the effect of improving the reliability of data transmission is achieved.
The substantial effects of the invention are as follows: the method comprises the steps of firstly, optimizing coverage, optimizing service performance on the basis of ensuring coverage, and finally, carrying out integral optimization. The LTE network optimization principle contains the following 3 aspects. Optimal system coverage, which is a very important ring in the optimization segment. In the coverage area of the system, the signals at most places meet the requirement of the minimum level required by the service by means of adjusting antennas, power and the like, the optimal coverage is realized by using limited power as far as possible, and the problems that a user cannot access the network or call drop, switching failure and the like caused by weak coverage of the system are reduced. The position of a base station, the setting of antenna parameters and the setting of transmitting power can be reasonably planned according to a wireless environment in an engineering construction period, and the antenna parameters and the setting of power can be further adjusted according to actual test conditions in subsequent network optimization, so that network coverage is optimized. The system interference is minimized, and the interference is generally divided into two categories, one category is the interference caused in the system, such as unreasonable coverage, improper parameter configuration, GPS deviation, RRU abnormal work and the like; the other is extra-system interference. Both types of interference directly affect network quality. Through coverage optimization, power parameters, power control parameters, algorithm parameters and the like of various services are adjusted, and the interference in the system is minimized as much as possible; and the external interference is checked and positioned, so that the external interference of the system is minimized as much as possible. Capacity balancing, namely reasonably controlling the load of the base station by adjusting the coverage area of the base station to balance the load as much as possible. And finally, the effect of improving the reliability of data transmission is achieved.
Detailed Description
The technical solution of the present invention will be further specifically described below by way of specific examples.
Example 1:
a LTE230 power system private network optimization method is characterized by comprising the following steps:
a, establishing an LTE230 power system private network, adjusting an antenna and transmitting power to realize optimal coverage, and carrying out capacity balance on a base station;
b, performing interference positioning investigation and adjusting;
and C, optimizing the stability of the core network system through main and standby configuration.
In step a, in the engineering construction period, according to the wireless environment, the signals at most places meet the requirement of the minimum level required by the service by adjusting the antennas and adjusting the power means.
In the step B, external field drive test is also carried out, the longitude and latitude and the range of the weak coverage area with low SINR are determined, and a network adjusting scheme and a blind-repairing scheme are carried out; the network adjustment scheme comprises the following steps: a base station directional-to-omnidirectional scheme and/or a base station relocation scheme; the blind-repairing scheme comprises the following steps: and establishing a micro base station scheme and/or performing extended coverage on the single-point condition by adopting relay equipment.
When the LTE230 power system private network is established, the terminal equipment starts a spectrum sensing function, after interference is found when interference positioning investigation is carried out in the step B, frequency sweeping and positioning are carried out around the terminal, the influence direction of an interference source is determined, and the terminal around the influence of the interference source is optimized in a mode of antenna zooming out.
In step C, when performing stability optimization, two core network element EPC devices and a base station eNB are all interconnected in an S1FLEX manner, and are all interconnected with a master station server, the two core network elements are networked in a POOL manner, and are simultaneously connected with the base station and operate simultaneously, a UE attaches to a primary core network, which is configured preferentially and operates normally, to perform a service according to a configuration sequence of an MME on the eNB, when any primary core network fails, the other primary core network may be used as a standby core network to provide a service, the POOL manner of POOL resources is used between the core network elements EPC, the EPCs are equal in status, the two core network elements are independent, and the eNB determines on which core network the UE is attached.
When the base station detects a failure of one main core network, the base station can detect that the link state between the base station equipment and the core network equipment is abnormal, release the communication module attached to the core network, re-initiate attachment of the released communication module, and access the communication module to the equipment of the spare core network, so as to enhance the reliability of the system.
On 10kV communication access network, the wireless terminal that distribution automation used is according to the electric power business needs, FTU or TTU or DTU distribution automation terminal is connected in the erection joint, insert wireless base station through wireless link, cover switching station, the looped netowrk cabinet, distribution equipment such as column switch are regional, distribution automation terminal's data are sent to distal end monitoring main website system through wireless system's dedicated channel, the instruction of issuing of monitoring main website also passes through wireless network and transmits to distribution automation terminal in, with the operation of control distribution automation terminal.
In the embodiment, coverage optimization is firstly well done, business performance is optimized on the basis that coverage can be guaranteed, and finally, overall optimization is carried out. The LTE network optimization principle contains the following 3 aspects. Optimal system coverage, which is a very important ring in the optimization segment. In the coverage area of the system, the signals at most places meet the requirement of the minimum level required by the service by means of adjusting antennas, power and the like, the optimal coverage is realized by using limited power as far as possible, and the problems that a user cannot access the network or call drop, switching failure and the like caused by weak coverage of the system are reduced. The position of a base station, the setting of antenna parameters and the setting of transmitting power can be reasonably planned according to a wireless environment in an engineering construction period, and the antenna parameters and the setting of power can be further adjusted according to actual test conditions in subsequent network optimization, so that network coverage is optimized. The system interference is minimized, and the interference is generally divided into two categories, one category is the interference caused in the system, such as unreasonable coverage, improper parameter configuration, GPS deviation, RRU abnormal work and the like; the other is extra-system interference. Both types of interference directly affect network quality. Through coverage optimization, power parameters, power control parameters, algorithm parameters and the like of various services are adjusted, and the interference in the system is minimized as much as possible; and the external interference is checked and positioned, so that the external interference of the system is minimized as much as possible. Capacity balancing, namely reasonably controlling the load of the base station by adjusting the coverage area of the base station to balance the load as much as possible. And finally, the effect of improving the reliability of data transmission is achieved.
The embodiment acquires the basic information of the target area during planning; acquiring a map of a target area, an own base station alternative point, a public base station alternative point, planning frequency pool information and terminal equipment information of an electric power system; the terminal equipment comprises a power distribution automation terminal, a power utilization information acquisition terminal, a load control terminal, a power service equipment terminal and an alternative terminal, and the planning frequency pool information comprises the type of the terminal equipment corresponding to each frequency pool. The frequency pool comprises a frequency pool No. 1, a frequency pool No. 2 and a frequency pool No. 3, wherein the frequency pool No. 1 receives information of the distribution automation terminal, the frequency pool No. 2 receives information of the power information acquisition terminal and the load control terminal, and the frequency pool No. 3 receives information of the power service equipment terminal and the alternative terminal.
Then, calculating to obtain all qualified base station combinations of the target area; selecting a self-owned base station alternative point and a public base station alternative point of the power system which meet the requirements as base stations, setting the radiation range of each base station, carrying out equivalent gridding division on a target area, and manually setting the parameters of each grid;
performing maintenance weighted assignment on each public base station alternative point and each power system own base station alternative point, and selecting a collection of base stations with coverage areas larger than a set value and repeated coverage areas smaller than the set value as a combination to be selected;
and after the combinations to be selected are obtained, the maintenance total value of the combinations to be selected is calculated, the combinations to be selected with the maintenance total value larger than a set threshold value are removed, and the rest combinations to be selected are the base station combinations.
For each base station combination, performing a base station corresponding relation substep:
base station correspondence substep a': selecting all grids i radiated by a plurality of base stations in a regional map; selecting all base stations j radiated to the grid i; obtaining a high-rise building F between i and a base station j in an area mapijkHeight G ofijkK is the number of high-rise buildings between the grid i and the base station j, and the height of the high-rise buildings is larger than the initial value htThe building of (1);
base station correspondence substep B': computing
Figure GDA0002306739310000081
LijqFor a tall building FijkA distance value from base station j; dijIs the barrier coefficient between grid i and base station j;
correspondence calculation substep C': calculating Tij=1/(Dij×Lij);LijIs the distance, T, between the center point of grid i and base station jijRepresents the correlation coefficient, T, between grid i and base station jijThe larger the correlation degree between the expression grid i and the base station j is, the higher the correlation degree is, and each grid i selects the base station j with the highest correlation degree as the base station with the corresponding relation. The radiation range of each base station is obtained by calculating the height of the base station and the transmission power of the base station. The radiation range S of each base station can be usedf=W×(h-ht)×Lt(ii) a Where h is the height of the base station, htFor a manually set starting height value, LtThe radiation range coefficient is set manually. In the case of detailed data, the radiation area division of the unequal area can be selected, where W is the power correlation coefficient at the time of radiation calculation. The method is more accurate and detailed than the similar method, and simultaneously takes the interference factor of the high point of the building into consideration, thereby being more suitableAnd (6) properly mixing.
The sources of the terminal data are all provided by an electric power system according to the daily running state of various terminals, the terminal equipment in the invention is generally fixed terminals, the number of the mobile terminals in the invention is small, the mobile terminals generally comprise mobile overhaul equipment, and the data consumption is not large, so the data consumption is not considered in the invention. The power system self-owned base station alternative points are generally power system self property, the public base station alternative points select the external rental base stations, the power system self property is convenient to maintain and convenient to manage, and meanwhile, the rental cost is low, so that the power system self-owned base station alternative points are preferred in base station selection.
The frequency pool corresponds to different circuit equipment terminals and also corresponds to different equipment importance, so that the construction of a power grid can be planned better.
The gridding division method can be divided in a rectangular division mode, can also be divided in a regular hexagonal division mode, and can also be divided in a regular triangular mode, and the division methods are more and can be set manually. The invention selects the radiation area division of unequal areas, and in the invention, traversing the combination of radiation of areas such as all base station alternative points and the like: and drawing radiation areas of all base station alternative points, storing the radiation areas, overlapping, and removing the repeated radiation areas after overlapping to obtain base stations larger than the set value of the areas. For example A, B, C, D, E exists within the same region, at which point, for A, B, C, D, E, after radiation is established, it is seen whether the radiation coverage area of a is greater than 90% of the area of the target region, whether the radiation coverage area of a plus B is greater than 90% of the area of the target region, and if not, whether the radiation coverage area of a plus B plus C is greater than 90% of the area of the target region; after the condition is met, continuing the step from B until the combined coverage area of all the base stations can be larger than 90% of the area of the target area; and then taking out the base station combinations with the repeated coverage rate larger than a set value, wherein the rest base station combinations are standard base station combinations. This step is typically done by a computer. Meanwhile, the configuration of the base station corresponding to the grid which receives the radiation of the plurality of base stations is more critical; the invention fully considers the distance between the grids and the base station and the situation of high-rise obstruction between the base station and the grids, and can freely select a proper path through the adjustment of parameters.
Thirdly, establishing a flow density graph of the terminal equipment in the target area; through the formula ToAiCalculating a flow density ToA in the i-th cell region by K × (T1 × N1 × P1+ T2 × N2 × P2+. + Tn × Nn × Pn)/Si(ii) a The flow density is a quantitative parameter for representing the distribution density of power communication demands, and is an average information communication demand value per square km in Kbps/km2Metering and representing the sum of transmission capacities of communication data required by power terminals in a unit square, K is a service concurrency coefficient in a grid area and is set manually, Pn is a redundancy coefficient, each redundancy coefficient is related to the type of terminal equipment and a frequency pool, for example, the equipment corresponding to the frequency pool No. 1 is larger than the equipment redundancy coefficient corresponding to the frequency pool No. 2 in selection of the redundancy coefficient, Pn is set manually, Tn is an information communication requirement value of each terminal type, Nn is the number of the terminals corresponding to the Tn type in the grid area, and S is the area of the grid area.
Fourthly, determining the combined construction priority of the base station according to the flow density graph. Calculating the sum of the transmission degrees of all grids in each base station combination, wherein the transmission degree of the grid i is calculated by the following formula: qi=ToAi/LiObtaining; l isiAnd for the distance value between the center position of the grid i and the base station with the corresponding relation, carrying out total transmission degree on all the base station combinations to sequence from high to low.
Example 2:
the embodiment is basically the same as the embodiment 1, except that after the preliminary planning is completed, a standard base station combination with transmission degrees arranged in a plurality of front bits and the transmission degree larger than a set standard is selected as a key resource base station combination for key resource transmission degree sequencing;
the first step of ordering transmission degree of key resources is as follows: calculating the traffic density ToA of the key resources in each grid; ToAz=Kz×(T1×N1+T2×N2+...+Tm×Nm)/S;ToAzFor the key resource traffic density, K, in each gridzFor emphasis in grid areaThe source service concurrency coefficient is manually set; tm is the information communication demand value of each key resource terminal, Nm is the number of key resource terminals corresponding to Tm type in the grid area, and m is less than or equal to n;
a second step of ordering the transmission degree of the key resources: calculating the transmission degrees of all grids in each key resource base station combination, wherein the key resource transmission degree of each grid is calculated by the following formula: qz=ToAzObtaining the/L; and L is the distance between the center of the grid and the base station, the sum of the transmission degrees of all grids in each key resource base station combination is calculated, and the transmission degrees of all key resource base station combinations are sequenced from high to low.
In this way, the important resources can be considered better, and the importance of the important resources in the circuit system is much higher than that of the general resources, so that under appropriate conditions, arranging the important resources closer to the base station is the best choice, which is greatly different from that of the general mobile network. The key resource terminals include distribution automation terminals.
Example 3:
the present embodiment is basically the same as embodiment 1, except that in step C, a grid with a flow density greater than a set value in all grids is selected as a key grid, the repeated coverage number of the key grid in each base station combination is calculated, the number of key grids with the repeated coverage number greater than 2 in the base station combination is calculated as an auxiliary value, and when the difference value of the total transmission degrees of the base station combinations is smaller than a set threshold value, the base station combination with the smallest auxiliary value is selected and ranked in the front.
Example 4:
this embodiment is basically the same as embodiment 2, except that the importance of each area is different due to different types of devices, so the concurrency coefficient of the terminal device in each grid can be set to be different, and because the importance of the base station is considered, the redundancy coefficient is not set as a parameter, so the traffic density ToA in each grid area is calculated by using the formula ToA ═ K × (T1 × N1+ T2 × N2+. + Tm × Nm)/S.
See in particular:
Figure GDA0002306739310000111
TABLE 1 statistical and distribution density table for the number of distribution communication terminals in a certain city
Figure GDA0002306739310000112
Figure GDA0002306739310000121
Table 2A base station distribution flow density (concurrency index is set to 0.8)
Figure GDA0002306739310000122
Figure GDA0002306739310000131
Table 3B base station distribution flow density (concurrency index is set to 0.6)
Figure GDA0002306739310000132
Table 4C base station distribution flow density (concurrency index is set to 0.5)
Figure GDA0002306739310000133
Figure GDA0002306739310000141
Table 5D base station distribution flow density (concurrency index is set to 0.1)
The above-described embodiments are only preferred embodiments of the present invention, and are not intended to limit the present invention in any way, and other variations and modifications may be made without departing from the spirit of the invention as set forth in the claims.

Claims (8)

1. A LTE230 power system private network optimization method is characterized by comprising the following steps:
a, establishing an LTE230 power system private network, adjusting an antenna and transmitting power to realize optimal coverage, and carrying out capacity balance on a base station;
b, performing interference positioning investigation and adjusting;
c, optimizing the stability of the core network system through main and standby configuration;
in step C, selecting radiation area division of unequal areas, traversing combination of area radiation of all base station alternative points and the like to represent: after the radiation areas of all the base station alternative points are drawn and stored, overlapping is carried out, and after the repeated radiation areas are removed, the base stations which are larger than the set value of the areas are overlapped;
for each base station combination, performing a base station corresponding relation substep:
base station correspondence substep a': selecting all grids i radiated by a plurality of base stations in a regional map; selecting all base stations j radiated to the grid i; obtaining a high-rise building F between i and a base station j in an area mapijkHeight G ofijkK is the number of high-rise buildings between the grid i and the base station j, and the height of the high-rise buildings is larger than the initial value htThe building of (1);
base station correspondence substep B': computing
Figure FDA0002306739300000011
LijqFor a tall building FijkA distance value from base station j; dijIs the barrier coefficient between grid i and base station j;
correspondence calculation substep C': calculating Tij=1/(Dij×Lij);LijIs the distance, T, between the center point of grid i and base station jijRepresents the correlation coefficient, T, between grid i and base station jijThe larger the grid i is, the higher the association degree between the grid i and the base station j is, and each grid i selects the base station j with the highest association degree as the base station with the corresponding relation; passing through formula
ToAiCalculating a flow density ToA in the i-th cell region by K × (T1 × N1 × P1+ T2 × N2 × P2+. + Tn × Nn × Pn)/Si(ii) a The flow density is a quantitative parameter for representing the distribution density of power communication demands, and is an average information communication demand value per square km in Kbps/km2Metering, namely, the sum of transmission capacities of communication data required by power terminals in a unit square is represented, K is a service concurrency coefficient in a grid area and is manually set, Pn is a redundancy coefficient, each redundancy coefficient is related to the type and the frequency pool of terminal equipment, Pn is manually set, Tn is an information communication requirement value of each terminal type, Nn is the number of terminals corresponding to the Tn type in the grid area, and S is the area of the grid area;
calculating the sum of the transmission degrees of all grids in each base station combination, wherein the transmission degree of the grid i is calculated by the following formula: qi=ToAi/LiObtaining; l isiAnd for the distance value between the center position of the grid i and the base station with the corresponding relation, carrying out total transmission degree on all the base station combinations to sequence from high to low.
2. The LTE230 power system private network optimization method of claim 1, wherein in step a, the engineering construction period makes signals at most local meet the requirement of the lowest level required by the service by adjusting antennas and adjusting power means according to the wireless environment.
3. The LTE230 power system private network optimization method of claim 1, wherein in step B, external field drive test is further performed, latitude, longitude and range of a weak coverage area with low SINR are determined, and a network adjustment scheme and a blind-fill-up scheme are performed; the network adjustment scheme comprises the following steps: a base station directional-to-omnidirectional scheme and/or a base station relocation scheme; the blind-repairing scheme comprises the following steps: and establishing a micro base station scheme and/or performing extended coverage on the single-point condition by adopting relay equipment.
4. The LTE230 power system private network optimization method according to claim 1, wherein when the LTE230 power system private network is established, the terminal device starts a spectrum sensing function, scans and positions around the terminal after interference is found when interference positioning investigation is performed in step B, determines an interference source influence direction, and optimizes the terminal around the interference source influence by adopting an antenna remote mode.
5. The method for optimizing the private network of the LTE230 power system as claimed in claim 1, wherein in step C, when performing stability optimization, two core network element EPC devices are configured, the two core network element EPC devices and the eNB of the base station are all interconnected in an S1FLEX manner, the two core network element EPC devices and the master station server are all interconnected, the two core network element EPC devices are networked in a POOL manner, the two core network element EPC devices are connected to the base station and operate simultaneously to form two core networks with the same network structure, when performing a service, one of the two core networks is a standby core network, and terminal devices of the private network of the LTE230 power system are configured in an order of the MME on the eNB of the base station.
6. The LTE230 power system private network optimization method according to claim 5, wherein the base station configures a backup battery or a UPS power supply, the base station determines a master/backup core network device according to a pre-configuration, fixedly allocates the terminal service to a master core network device, when the base station detects a failure of the master core network, the base station detects an abnormal link state between the base station device and the core network device, and initiates release of a communication module attached to the core network, the released communication module initiates attachment again, and the base station accesses the communication module to the backup core network device.
7. The LTE230 power system private network optimization method according to claim 5, wherein, on a 10kV communication access network, a wireless terminal for distribution automation application is installed and connected with an FTU (feeder terminal unit) or TTU (time to Unit) or DTU (data transfer unit) distribution automation terminal according to power service requirements, the FTU or TTU or DTU distribution automation terminal is accessed to a wireless base station through a wireless link to cover the area where the switching station, the ring main unit, the column switch and other power distribution equipment are located, data of the distribution automation terminal is transmitted to a remote monitoring master station system through a special channel of the wireless system, and an issuing instruction of the monitoring master station is also transmitted to the distribution automation terminal through a wireless network to control the operation of the distribution automation terminal.
8. The LTE230 power system private network optimization method of claim 5,
in the step A, obtaining a map of a target area, an own base station alternative point of an electric power system, a public base station alternative point, planning frequency pool information and terminal equipment information;
selecting a self-owned base station alternative point and a public base station alternative point of the power system which meet the requirements as base stations, setting the radiation range of each base station, carrying out equivalent gridding division on a target area, and manually setting the parameters of each grid;
and selecting the base station combination with the coverage area larger than the set value and the repeated coverage area smaller than the set value.
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