CN110996331A - Deployment optimization method of base station group in target area and storage medium - Google Patents

Deployment optimization method of base station group in target area and storage medium Download PDF

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Publication number
CN110996331A
CN110996331A CN201911221630.0A CN201911221630A CN110996331A CN 110996331 A CN110996331 A CN 110996331A CN 201911221630 A CN201911221630 A CN 201911221630A CN 110996331 A CN110996331 A CN 110996331A
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positioning data
mobile beacon
base station
base stations
missing
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CN110996331B (en
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石宇航
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Gree Electric Appliances Inc of Zhuhai
Zhuhai Lianyun Technology Co Ltd
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Gree Electric Appliances Inc of Zhuhai
Zhuhai Lianyun Technology 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

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Abstract

The invention discloses a deployment optimization method of a base station group in a target area, a storage medium and computer equipment, wherein the optimization method comprises the following steps: the method comprises the steps that a base station group is utilized to carry out real-time positioning on a mobile beacon so as to obtain positioning data of the mobile beacon; when positioning data is missing, judging that a new base station needs to be added in the area where the positioning data is missing, and planning the position of the new base station in the area where the positioning data is missing so as to simulate a new base station group; and carrying out simulated positioning on the mobile beacon by utilizing a new base station group to obtain the simulated positioning data of the mobile beacon, and judging whether the position of the new base station needs to be adjusted or not by analyzing whether the simulated positioning data is missing or not until the simulated positioning data is not missing any more. Through obtaining and analyzing the positioning data in real time, whether the condition that the positioning data are lost can be generated in the target area is judged, and then the number of the base stations in the target area is adjusted, so that the integrity of the positioning data is ensured.

Description

Deployment optimization method of base station group in target area and storage medium
Technical Field
The invention belongs to the technical field of wireless communication, and particularly relates to a deployment optimization method of a base station group in a target area, a storage medium and computer equipment.
Background
With the rapid increase of data services and multimedia services and the enhancement of social mobility, the demand of people for position location and target location navigation is increasing, and especially in complex indoor environments, such as exhibition halls, warehouses, prisons, libraries, underground parking lots, mines and the like, it is very important to determine the position information of mobile terminals or their holders, and facilities and articles in specific environments. Therefore, in order to obtain accurate location information, reasonable deployment of the base stations is important.
In the prior art, when a base station is deployed, all areas are covered according to a theoretical coverage area to ensure that all positioning data are obtained, but a large amount of redundant data can be obtained, storage resources are wasted, base station resources are wasted, and deployment cost is increased.
For example, when a blind area with a wireless signal in a target room is tested, the base station is debugged until the wireless signal covers the whole target room position, which is not completely reasonable although the coverage of the whole area can be ensured, because the resource of the base station is wasted.
In addition, the unreasonable deployment of the base station includes not only waste of resources and increase of cost due to redundancy of the base station but also inaccuracy or lack of positioning data due to lack of the base station.
There is a need for a method, storage medium, and computer apparatus for optimizing deployment of base station groups in a target area.
Disclosure of Invention
The technical problems to be solved by the invention are resource waste and cost increase caused by unreasonable base station deployment and inaccurate or missing positioning data in the prior art.
In view of the foregoing problems, the present invention provides a deployment optimization method for a base station group in a target area, a storage medium, and a computer device.
In a first aspect, the present invention provides a method for optimizing deployment of a base station group in a target area, where the target area includes a base station group including a plurality of base stations and a mobile beacon traveling along a specified route, and the method includes the following steps:
the method comprises the steps that a base station group is utilized to carry out real-time positioning on a mobile beacon so as to obtain positioning data of the mobile beacon;
when positioning data is missing, judging that a new base station needs to be added in the area where the positioning data is missing, and planning the position of the new base station in the area where the positioning data is missing so as to simulate a new base station group;
carrying out simulated positioning on a mobile beacon by using a new base station group to obtain simulated positioning data of the mobile beacon, and judging whether the position of the new base station needs to be adjusted or not by analyzing whether the simulated positioning data is missing or not until the simulated positioning data is not missing any more;
and deploying the base station according to the finally determined position of the new base station.
According to the embodiment of the present invention, preferably, the base station group is used to perform real-time positioning/analog positioning on the mobile beacon to obtain positioning data/analog positioning data of the mobile beacon, the movement track of the mobile beacon is drawn according to the positioning data/analog positioning data of the mobile beacon, and when there is a missing partial line segment or a deviation from the specified route in the movement track of the mobile beacon, it is determined that the positioning data/analog positioning data is missing.
According to the embodiment of the present invention, preferably, the area where the positioning data is missing includes at least two base stations, and the position of the new base station is planned within the area where the positioning data is missing according to the positions of the at least two base stations.
According to the embodiment of the present invention, preferably, the position of the new base station is planned in the area where the positioning data is missing according to the positions of the at least two base stations, so that three base stations adjacent to each other in pairs are distributed in an equilateral triangle according to the preset distance.
According to an embodiment of the present invention, preferably, the method for optimizing deployment of a base station group in the target area further includes the following steps:
when the number of base stations which communicate with the same mobile beacon of a specified route at the same point in time in the target area is larger than a preset threshold value, judging that base stations which possibly need to be dismantled exist in the base stations which communicate with the same mobile beacon of the specified route;
when redundant base stations which may need to be dismantled exist in the base stations which communicate with the same mobile beacon in the appointed route, each base station in the base stations which communicate with the same mobile beacon in the appointed route is dismantled in a simulation mode, whether positioning data of the mobile beacon which originally communicates with the base stations dismantled in the simulation mode are lost or not is analyzed after the simulation dismantling, and if the positioning data are not lost, the base stations dismantled in the simulation mode are judged to be the removable redundant base stations.
In a second aspect, the present invention provides a method for optimizing the deployment of a base station group in a target area, where the target area includes a base station group including a plurality of base stations and a mobile beacon traveling along a specified route, and the method includes the following steps:
when the number of base stations which communicate with the same mobile beacon of a specified route at the same point in time in the target area is larger than a preset threshold value, judging that base stations which possibly need to be dismantled exist in the base stations which communicate with the same mobile beacon of the specified route;
when redundant base stations which may need to be dismantled exist in the base stations which communicate with the same mobile beacon in the appointed route, each base station in the base stations which communicate with the same mobile beacon in the appointed route is dismantled in a simulation mode, whether positioning data of the mobile beacon which originally communicates with the base stations dismantled in the simulation mode are lost or not is analyzed after the simulation dismantling, and if the positioning data are not lost, the base stations dismantled in the simulation mode are judged to be the removable redundant base stations.
According to the embodiment of the present invention, preferably, the simulated removal is performed on each of the base stations communicating with the same mobile beacon of a specified route, and whether the positioning data of the mobile beacon originally communicating with the simulated removal base station is missing after the simulated removal is analyzed, specifically:
masking the positioning data transmitted by each of the base stations communicating with the same mobile beacon for a given route;
and for each mobile beacon which is communicated with the base station with the shielded positioning data, drawing a motion trail of the mobile beacon according to the unshielded positioning data of the mobile beacon, and judging that the positioning data is not missing when the motion trail of the mobile beacon does not have missing partial line segments and does not deviate from the specified route.
According to an embodiment of the present invention, it is preferable that,
when the motion trail of the mobile beacon is drawn according to the unmasked positioning data of the mobile beacon based on the TOA positioning method, the preset number threshold is 3.
According to an embodiment of the present invention, it is preferable that,
when the AOA positioning method is used, the motion trail of the mobile beacon is drawn according to the unmasked positioning data of the mobile beacon, and the preset number threshold is 2.
In a third aspect, the invention provides a storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, performs the steps of the method as described above.
In a fourth aspect, the invention provides a computer device comprising a storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method as described above.
Compared with the prior art, one or more embodiments in the above scheme can have the following advantages or beneficial effects:
the deployment optimization method of the base station group in the target area is applied, and the positioning data of the mobile beacon is obtained; when positioning data is missing, judging that a new base station needs to be added in the area where the positioning data is missing, and planning the position of the new base station in the area where the positioning data is missing so as to simulate a new base station group; carrying out simulated positioning on a mobile beacon by using a new base station group to obtain simulated positioning data of the mobile beacon, and judging whether the position of the new base station needs to be adjusted or not by analyzing whether the simulated positioning data is missing or not until the simulated positioning data is not missing any more; when the number of base stations which communicate with the same mobile beacon of a specified route at the same point in time in the target area is larger than a preset threshold value, judging that base stations which possibly need to be dismantled exist in the base stations which communicate with the same mobile beacon of the specified route; when redundant base stations which are possibly required to be removed exist in the base stations which communicate with the same mobile beacon of the appointed route, each base station in the base stations which communicate with the same mobile beacon of the appointed route is removed in a simulation mode, whether the positioning data of the mobile beacon which originally communicates with the base stations removed in the simulation mode are lost or not is analyzed after the base stations are removed in the simulation mode, if the positioning data are not lost, the base stations removed in the simulation mode are judged to be the removable redundant base stations, whether the situation that the positioning data are lost or redundant can be generated in the target area or not is judged through acquiring and analyzing a large amount of historical data in real time, then the deployment position of the base stations of the target area is dynamically optimized, the number of the base stations is adjusted, accordingly, the integrity of the positioning data is guaranteed, the redundant base stations are recycled, the cost is reduced, and the purpose of saving the cost under the premise that the integrity is guaranteed is achieved through reasonable In (1).
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a flowchart illustrating a method for optimizing deployment of a group of base stations in a target area according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a method for optimizing deployment of a base station group in a target area according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating a method for optimizing deployment of a base station group in a three-target area according to an embodiment of the present invention;
fig. 4 is a flowchart illustrating a deployment optimization method for a base station group in a four-target area according to an embodiment of the present invention.
Detailed Description
The following detailed description of the embodiments of the present invention will be provided with reference to the drawings and examples, so that how to apply the technical means to solve the technical problems and achieve the technical effects can be fully understood and implemented. It should be noted that, as long as there is no conflict, the embodiments and the features of the embodiments of the present invention may be combined with each other, and the technical solutions formed are within the scope of the present invention.
Example one
In order to solve the above technical problems in the prior art, an embodiment of the present invention provides a method for optimizing deployment of a base station group in a target area.
Referring to fig. 1, a method for optimizing deployment of a base station group in a target area provided in an embodiment of the present invention, where the target area includes a base station group including a plurality of base stations and a mobile beacon traveling according to a specified route, includes the following steps:
s110, positioning a mobile beacon in real time by using a base station group to acquire positioning data of the mobile beacon;
s120, drawing a motion track of the mobile beacon according to the positioning data of the mobile beacon;
s130, judging whether the motion trail of the mobile beacon has a missing partial line segment or deviates from the specified route:
if yes, determining that the positioning data is missing, and executing step S140;
if not, no response is given;
s140, a new base station needs to be additionally arranged in the area with the missing positioning data, and the position of the new base station is planned in the area with the missing positioning data, so that a new base station group is simulated;
s150, carrying out simulated positioning on the mobile beacon by using the new base station group to obtain the simulated positioning data of the mobile beacon;
s160, drawing a motion track of the mobile beacon according to the analog positioning data of the mobile beacon;
s170, judging whether the motion trail of the mobile beacon has missing partial line segments or deviates from the specified route:
if yes, adjusting the position of the new base station, and returning to the step S150 until the analog positioning data is not lost;
if not, executing step S180;
and S180, deploying the base station according to the finally determined position of the new base station.
In step S140, the location data missing area includes at least two base stations, and the location of a new base station is planned in the location data missing area according to the locations of the at least two base stations. The positions of the new base stations are planned in the area where the positioning data are missing according to the positions of the at least two base stations, so that every two adjacent three base stations are distributed in an equilateral triangle mode according to a preset interval, specifically, the adjacent base stations are distributed in a triangle uniform distribution mode, the mutual interval is 4-8 meters, the installation height is 2-3 meters, shielding is avoided as far as possible, and the base stations are not close to corners.
Example two
In order to solve the above technical problems in the prior art, an embodiment of the present invention provides a method for optimizing deployment of a base station group in a target area.
Referring to fig. 2, a method for optimizing deployment of a base station group in a target area provided in an embodiment of the present invention, where the target area includes a base station group including a plurality of base stations and a mobile beacon traveling according to a specified route, includes the following steps:
s210, judging whether the number of base stations which communicate with the same mobile beacon of a specified route at the same time point in the target area is larger than a preset threshold value:
if yes, determining that base stations which may need to be dismantled exist in the base stations which communicate with the same mobile beacon of the specified route, and executing step S220;
if not, no response is given;
s220, shielding the positioning data transmitted by each base station in the base stations communicating with the same mobile beacon of a specified route;
s230, for each mobile beacon which is communicated with the base station with shielded positioning data, drawing a motion track of the mobile beacon according to the unshielded positioning data of the mobile beacon;
s240, judging whether the motion trail of the mobile beacon has no missing partial line segment and does not deviate from the specified route:
if yes, judging that the positioning data is not missing, and judging that the base station which is simulated to be dismantled is a detachable redundant base station;
if not, judging that the positioning data is missing, and judging that the base station which is simulated to be dismantled is not a detachable redundant base station.
When the motion trail of the mobile beacon is drawn according to the unmasked positioning data of the mobile beacon based on the TOA positioning method, the preset number threshold is 3.
When the AOA positioning method is used, the motion trail of the mobile beacon is drawn according to the unmasked positioning data of the mobile beacon, and the preset number threshold is 2.
EXAMPLE III
In order to solve the above technical problems in the prior art, an embodiment of the present invention provides a method for optimizing deployment of a base station group in a target area.
Referring to fig. 3, a method for optimizing deployment of a base station group in a target area provided in an embodiment of the present invention, where the target area includes a base station group including a plurality of base stations and a mobile beacon traveling according to a specified route, includes the following steps:
s310, positioning a mobile beacon in real time by using a base station group to acquire positioning data of the mobile beacon;
s320, drawing a motion track of the mobile beacon according to the positioning data of the mobile beacon;
s330, judging whether the motion trail of the mobile beacon has missing partial line segments or deviates from the specified route:
if yes, determining that the positioning data is missing, and executing step S340;
if not, executing step S391;
s340, a new base station needs to be additionally arranged in the area with the missing positioning data, and the position of the new base station is planned in the area with the missing positioning data, so that a new base station group is simulated;
s350, carrying out simulated positioning on the mobile beacon by using the new base station group to obtain simulated positioning data of the mobile beacon;
s360, drawing a motion track of the mobile beacon according to the analog positioning data of the mobile beacon;
s370, judging whether the motion trail of the mobile beacon has missing partial line segments or deviates from the specified route:
if yes, adjusting the position of the new base station, and returning to the step S350 until the analog positioning data is not lost;
if not, go to step S380;
s380, deploying the base station according to the finally determined position of the new base station;
s391, determining whether the number of base stations in the target area communicating with the same mobile beacon at the same time point and on a specified route is greater than a preset threshold:
if yes, go to step S392;
if not, no response is given;
s392, shielding the positioning data transmitted by each base station in the base stations communicating with the same mobile beacon of a specified route;
s393, for each mobile beacon which is communicated with the base station with the shielded positioning data, drawing a motion track of the mobile beacon according to the unshielded positioning data of the mobile beacon;
s394, judging whether the motion trail of the mobile beacon has no missing partial line segment and does not deviate from the specified route:
if yes, judging that the positioning data is not missing, and judging that the base station which is simulated to be dismantled is a detachable redundant base station;
if not, judging that the positioning data is missing, and judging that the base station which is simulated to be dismantled is not a detachable redundant base station.
In this embodiment, through acquireing and the analysis acquires the locating data of mobile beacon, judge whether the locating data of mobile beacon can produce the condition that data loss or redundancy in the target area, and then add and demolish the regional basic station of target, demolish after addding earlier, under the prerequisite of the integrality of the locating data of having guaranteed mobile beacon, and reduce the basic station of the same mobile beacon of repeated scanning, thereby under the prerequisite of the accuracy of the location of guaranteeing mobile beacon and the integrality of locating data, the cost is reduced, with the purpose of the cost is practiced thrift under the prerequisite of guaranteeing locating data integrality to the realization.
Example four
In order to solve the above technical problems in the prior art, an embodiment of the present invention provides a third embodiment of a method for optimizing the deployment of a base station group in a target area, where the method is applied to a dynamic planning of a bluetooth base station.
As shown in fig. 4, the method for dynamically planning a bluetooth base station according to the embodiment of the present invention includes the following steps:
firstly: collecting historical positioning data;
specifically, all bluetooth beacon positioning data obtained by scanning all deployed bluetooth base stations are collected together, and a database with a unified structure is established to store historical positioning data;
secondly, the method comprises the following steps: analyzing historical positioning data;
specifically, the collected historical positioning data is analyzed and preprocessed, and a historical moving path of each Bluetooth beacon is shown according to the historical positioning data of each Bluetooth beacon changing along with time;
judging whether the historical moving path is continuous and has no deviation with the line to which the Bluetooth beacon belongs;
when the historical moving path is discontinuous or has deviation from the line to which the Bluetooth beacon belongs, the place where the historical moving path is discontinuous and the place where the historical moving path has deviation from the line to which the Bluetooth beacon belongs are areas where the positioning data of the Bluetooth beacon is lost at a certain moment;
record this area and deploy temporary bluetooth base stations.
After the temporary base station is deployed, analyzing historical positioning data continuously;
judging whether the deployment position of the temporary base station needs to be adjusted or not;
if necessary, adjusting the deployment position of the temporary base station, and continuously analyzing historical positioning data until no positioning data is lost;
and screening out the data which are scanned by the same Bluetooth beacon by a plurality of different base stations at the same time.
And finally: dynamically planning the position of a base station;
specifically, when the positioning data is screened to be lost, a base station can be deployed in the lost area to ensure that the positioning data of each bluetooth beacon can be received, so that the integrity of the positioning data is ensured;
under the condition that the locating data no longer appear losing to when having a large amount of same bluetooth beacon by the locating data that a plurality of different basic stations scanned simultaneously, need simulate to the bluetooth basic station of having deployed and demolish, select one of them bluetooth basic station promptly and shield its locating data that transmit back, judge whether can influence the accuracy and the integrality of real-time location data.
The base station can be removed if there is no impact. Thereby ensuring a minimum deployment of the number of base stations. The data are analyzed circularly, and the overall deployment of the base station is ensured to reach an optimal layout.
EXAMPLE five
In order to solve the above technical problems in the prior art, an embodiment of the present invention further provides a storage medium.
The storage medium of the present embodiment has stored thereon a computer program which, when executed by a processor, implements the steps of the method in the above-described embodiments.
EXAMPLE six
In order to solve the technical problems in the prior art, the embodiment of the invention also provides computer equipment.
The computer device of the present embodiment includes a storage medium and a processor, where the storage medium stores a computer program, and the computer program, when executed by the processor, implements the steps of the method in the above embodiments.
Although the embodiments of the present invention have been described above, the above description is only for the convenience of understanding the present invention, and is not intended to limit the present invention. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (11)

1. A deployment optimization method of a base station group in a target area, wherein the target area comprises the base station group comprising a plurality of base stations and a mobile beacon traveling according to a specified route, the optimization method comprises the following steps:
the method comprises the steps that a base station group is utilized to carry out real-time positioning on a mobile beacon so as to obtain positioning data of the mobile beacon;
when positioning data is missing, judging that a new base station needs to be added in the area where the positioning data is missing, and planning the position of the new base station in the area where the positioning data is missing so as to simulate a new base station group;
carrying out simulated positioning on a mobile beacon by using a new base station group to obtain simulated positioning data of the mobile beacon, and judging whether the position of the new base station needs to be adjusted or not by analyzing whether the simulated positioning data is missing or not until the simulated positioning data is not missing any more;
and deploying the base station according to the finally determined position of the new base station.
2. The method of claim 1, wherein:
the method comprises the steps of utilizing a base station group to carry out real-time positioning/analog positioning on a mobile beacon to obtain positioning data/analog positioning data of the mobile beacon, drawing a motion track of the mobile beacon according to the positioning data/analog positioning data of the mobile beacon, and judging that the positioning data/analog positioning data are missing when the motion track of the mobile beacon has a missing partial line segment or deviates from the designated route.
3. The method according to claim 1, characterized in that the area where positioning data is missing comprises at least two base stations, and the position of a new base station is planned within the area where positioning data is missing according to the positions of the at least two base stations.
4. The method according to claim 3, wherein the position of the new base station is planned within the area where the positioning data is missing according to the positions of the at least two base stations, so that three base stations adjacent to each other in pairs are distributed in an equilateral triangle according to a preset distance.
5. The method of claim 1, further comprising the steps of:
when the number of base stations which communicate with the same mobile beacon of a specified route at the same point in time in the target area is larger than a preset threshold value, judging that base stations which possibly need to be dismantled exist in the base stations which communicate with the same mobile beacon of the specified route;
when redundant base stations which may need to be dismantled exist in the base stations which communicate with the same mobile beacon in the appointed route, each base station in the base stations which communicate with the same mobile beacon in the appointed route is dismantled in a simulation mode, whether positioning data of the mobile beacon which originally communicates with the base stations dismantled in the simulation mode are lost or not is analyzed after the simulation dismantling, and if the positioning data are not lost, the base stations dismantled in the simulation mode are judged to be the removable redundant base stations.
6. A deployment optimization method of a base station group in a target area, wherein the target area comprises the base station group comprising a plurality of base stations and a mobile beacon traveling according to a specified route, the optimization method comprises the following steps:
when the number of base stations which communicate with the same mobile beacon of a specified route at the same point in time in the target area is larger than a preset threshold value, judging that base stations which possibly need to be dismantled exist in the base stations which communicate with the same mobile beacon of the specified route;
when redundant base stations which may need to be dismantled exist in the base stations which communicate with the same mobile beacon in the appointed route, each base station in the base stations which communicate with the same mobile beacon in the appointed route is dismantled in a simulation mode, whether positioning data of the mobile beacon which originally communicates with the base stations dismantled in the simulation mode are lost or not is analyzed after the simulation dismantling, and if the positioning data are not lost, the base stations dismantled in the simulation mode are judged to be the removable redundant base stations.
7. The method according to claim 6, wherein the simulated removal is performed for each of the base stations communicating with the same mobile beacon of a specified route, and the analysis is performed to determine whether the positioning data of the mobile beacon originally communicating with the simulated removal base station is missing after the simulated removal, specifically:
masking the positioning data transmitted by each of the base stations communicating with the same mobile beacon for a given route;
and for each mobile beacon which is communicated with the base station with the shielded positioning data, drawing a motion trail of the mobile beacon according to the unshielded positioning data of the mobile beacon, and judging that the positioning data is not missing when the motion trail of the mobile beacon does not have missing partial line segments and does not deviate from the specified route.
8. The method of claim 7,
when the motion trail of the mobile beacon is drawn according to the unmasked positioning data of the mobile beacon based on the TOA positioning method, the preset number threshold is 3.
9. The method of claim 7,
when the AOA positioning method is used, the motion trail of the mobile beacon is drawn according to the unmasked positioning data of the mobile beacon, and the preset number threshold is 2.
10. A storage medium on which a computer program is stored which, when being executed by a processor, carries out the method according to one of the claims 1 to 5 or the steps of the method according to one of the claims 6 to 9.
11. A computer arrangement comprising a storage medium and a processor, characterized in that the storage medium has stored thereon a computer program which, when being executed by the processor, carries out the method of any one of claims 1 to 5 and the steps of the method of any one of claims 6 to 9.
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