CN114520954A - Special equipment positioning method and system, special equipment and server - Google Patents
Special equipment positioning method and system, special equipment and server Download PDFInfo
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Abstract
The invention discloses a special equipment positioning method, a system, special equipment and a server, wherein the method comprises the following steps: the method comprises the steps that target special equipment obtains a positioning data source comprising various signals and transmits the positioning data source to a private network server through a special communication network; and the private network server determines the position information of the target special equipment based on at least two positioning algorithms according to the positioning data source. Therefore, the positioning data source of the special equipment can be acquired through the special communication network, and the position information of the special equipment is determined through various positioning algorithms, so that on one hand, the safety of data is guaranteed through transmission and positioning in a special network, and the disclosure is prevented, and on the other hand, the accurate positioning effect can be achieved based on the positioning of the mixed positioning data source.
Description
Technical Field
The invention relates to the technical field of special equipment positioning, in particular to a special equipment positioning method, a special equipment positioning system, special equipment and a server.
Background
When a special device, such as a police terminal or a customs personnel terminal, is used for performing a special task, a positioning function is generally required to determine the position of a person carrying the device, so as to determine a task strategy or ensure the safety of the person. However, the positioning function of the existing special equipment faces more and more complicated application scenes, but the positioning function of the existing special equipment generally only depends on a single positioning technology, such as satellite positioning, the satellite positioning has high precision, all-weather global coverage is supported, the position availability under outdoor open environment can be guaranteed, but in indoor environment or urban canyon area (under the condition that satellite signals are shielded or reflected), the positioning error is large, and even the positioning is difficult to realize. Meanwhile, the information data transmission of the special equipment has safety requirements, and the common positioning technology needs to communicate with the special equipment by means of certain external equipment, so that potential safety hazards exist.
Therefore, the existing positioning technology cannot meet the positioning requirement of special equipment under complex conditions, and cannot ensure the safety of data communication, and the existing technology has defects and needs to be solved urgently.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a method, a system, a special device and a server for positioning a special device, on one hand, the security of data is ensured by transmitting and positioning in a special network, and disclosure is prevented, and on the other hand, accurate positioning effect can be achieved based on positioning of a hybrid positioning data source.
In order to solve the technical problem, a first aspect of the present invention discloses a method for locating a special device based on a hybrid data source, where the method includes:
the method comprises the steps that target special equipment obtains a positioning data source comprising various signals and transmits the positioning data source to a private network server through a special communication network;
and the private network server determines the position information of the target special equipment based on at least two positioning algorithms according to the positioning data source.
The invention discloses a special equipment positioning system based on a mixed data source in a second aspect, which comprises target special equipment and a private network server which are mutually connected through a special communication network; wherein:
the target special equipment is used for acquiring a positioning data source comprising various signals and transmitting the positioning data source to a private network server through the special communication network;
and the private network server is used for determining the position information of the target special equipment based on at least two positioning algorithms according to the positioning data source.
The third aspect of the invention discloses a special device, which is used for acquiring a positioning data source comprising various signals and transmitting the positioning data source to a private network server through a special communication network, so that the private network server determines the position information of the target special device based on at least two positioning algorithms according to the positioning data source.
The invention discloses a server, which is used for receiving a positioning data source which comprises a plurality of signals and is obtained by target special equipment through a special communication network, and determining the position information of the target special equipment based on at least two positioning algorithms according to the positioning data source.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
the embodiment of the invention discloses a special equipment positioning method, a special equipment positioning system, special equipment and a server, wherein the method comprises the following steps: the method comprises the steps that target special equipment obtains a positioning data source comprising various signals and transmits the positioning data source to a private network server through a special communication network; and the private network server determines the position information of the target special equipment based on at least two positioning algorithms according to the positioning data source. Therefore, the positioning data source of the special equipment can be acquired through the special communication network, the position information of the special equipment is determined through various positioning algorithms, on one hand, the safety of data is guaranteed through transmission and positioning in the special network, and leakage is prevented, and on the other hand, the accurate positioning effect can be achieved based on the positioning of the mixed positioning data source.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for locating a special device based on a hybrid data source according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of a special equipment positioning system based on a hybrid data source according to an embodiment of the present invention.
FIG. 3 is a schematic structural diagram of a special device disclosed by the embodiment of the invention;
fig. 4 is a schematic structural diagram of a server according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," and the like in the description and claims of the present invention and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The invention discloses a special equipment positioning method, a special equipment positioning system, special equipment and a server, wherein a positioning data source of the special equipment can be obtained through a special communication network, and the position information of the special equipment is determined through various positioning algorithms. The following are detailed below.
Example one
Referring to fig. 1, fig. 1 is a schematic flowchart of a method for locating a specific device based on a hybrid data source according to an embodiment of the present invention. The method for locating the special equipment described in fig. 1 can be applied to a special equipment locating system. As shown in fig. 1, the hybrid data source-based location method for a special device may include the following operations:
101. the target special equipment acquires a positioning data source comprising various signals and transmits the positioning data source to a private network server through a special communication network.
Optionally, the target special device may be a device terminal in different special fields, for example, a device terminal in the police field, the customs field, or the urban management field, and optionally, it may include one or more of a police terminal, a customs terminal, an emergency terminal, and an urban management terminal.
Alternatively, the target specific device may be a device for performing different tasks, for example, the target specific device may be a police law enforcement device for performing police law enforcement tasks, or a customs inspection device for performing customs inspection tasks, such as a PDA device with a camera, or an urban management inspection device for performing urban management inspection tasks, or an emergency rescue device for performing emergency rescue tasks, such as a fire fighting device or a pulling device.
Optionally, the positioning data source may include at least two of a satellite signal, a WLAN signal, a base station signal, a bluetooth signal, a magnetometer signal, an accelerometer signal, a gyroscope signal, and a barometer signal.
Alternatively, the special communication network may be a special communication network in different special fields, which generally has privacy attributes, and transmits special communication data through a specific network path or network device to ensure the security of the data. Optionally, the special communication network may include one or more of a police private network, a customs private network, an emergency private network, and a city management private network.
102. And the private network server determines the position information of the target special equipment based on at least two positioning algorithms according to the positioning data source.
Optionally, the private network server may be a dedicated data processing server in different special fields, may be a local server or may be a cloud server, and generally has a privacy attribute, and processes and calculates special communication data through a specific network path or a network device, so as to ensure security of the data. Optionally, the private network server may include one or more of a police private network server, a customs private network server, an emergency private network server, and a city management private network server.
Optionally, the positioning algorithm may include at least two of a mixed-source positioning algorithm, a spectrum feature matching model and a clutter algorithm model, so as to comprehensively determine the position information of the target special device.
Therefore, the positioning data source of the special equipment can be acquired through the special communication network, the position information of the special equipment is determined through various positioning algorithms, on one hand, the safety of data is guaranteed through transmission and positioning in a special network, and leakage is prevented, and on the other hand, an accurate positioning effect can be achieved based on the positioning of the mixed positioning data source.
As an optional implementation, the method further comprises:
and the private network server transmits the position information to the target special equipment for display.
Optionally, the private network server transmits the location information to the target special device through the special communication network for displaying, so as to ensure the security of data transmission. Optionally, display software may be embedded in the target special device to display the position information on a device screen through the display software, so as to remind a special person holding the target special device of the current position of the special person.
Therefore, by implementing the optional implementation mode, the position information can be transmitted to the target special equipment through the private network server to be displayed, so that the special personnel holding the target special equipment can timely know the position information of the special personnel, and the safety of data transmission is ensured through the transmission of the special communication network.
As an optional implementation, the method further comprises:
and the target special equipment transmits the position information to the special command terminal through the special communication link.
Alternatively, the special communication link may be a dedicated communication link in different special fields, which generally has privacy properties, and may be a communication link using any form of communication electromagnetic waves to ensure data security. Optionally, the special communication link is generally a link for communication among a plurality of terminals that is set up in advance, and communication by using such a link can reduce expenditure for setting up a link again and reduce equipment communication cost. Optionally, the special communication link may include one or more of a police special communication link, a customs special communication link, an emergency special communication link, and an urban management special communication link. In one embodiment, when the present invention is applied in the police field, the specialty communication link may comprise a PDT communication link and/or a POC communication link.
Optionally, the special command terminal may be a terminal device, such as a large-size display device, disposed in the special command center, so as to display the position information of the multiple target special devices, which is convenient for the special command center to make policy in the aspects of command and scheduling. Optionally, the special command terminal may also be a processing device with decision-making capability, which may receive position information of a plurality of target special devices to implement automatic decision-making, and may be embedded with a trained decision-making algorithm model to implement automatic decision-making.
Therefore, by implementing the optional implementation mode, the target special equipment can transmit the position information to the special command terminal through the special communication link, so that the special command terminal can conveniently make strategies in aspects of command scheduling and the like, and the safety of data transmission is ensured through the transmission of the special communication link.
As an optional implementation manner, in step 101, a specific manner for the target specific device to acquire the positioning data source including multiple signals includes:
the target specific device scans signals in the surrounding environment through a built-in SDK component to acquire and obtain a positioning data source comprising a plurality of signals.
Optionally, the developer may complete the installation of the SDK component in the target special device according to the preset SDK installation specification. Optionally, the built-in SDK component may preset information such as a signal type to be acquired and a hardware or software interface to be called, and the target special device may scan signals in the surrounding environment through the built-in SDK component to acquire a positioning data source including multiple signals.
Therefore, by implementing the optional implementation mode, the target special equipment can obtain the positioning data source comprising various signals through the scanning and acquisition of the built-in SDK component, the function integration and the function installation of the target special equipment are facilitated, the preset SDK component can rapidly guide special personnel to learn and use the special equipment through the SDK specification, meanwhile, the scanning and acquisition mode avoids possible data leakage caused by the mode that the target special equipment is connected with other signal sources, and the safety of data storage and transmission is also ensured.
As an optional implementation manner, in step 102, the specific manner in which the private network server determines the location information of the target specific device according to the location data source based on the mixed-source location algorithm includes:
the private network server determines first position information of the target special equipment according to the positioning data source based on a mixed source positioning algorithm.
Optionally, the mixed-source positioning algorithm may fuse various signal sources such as WLAN signals, bluetooth signals, base station signals, geomagnetic signals, satellite signals, and the like, so as to implement the fusion positioning of multiple signal sources. Alternatively, the determined first location information of the target special device may be directly determined as the location information of the target special device.
As an optional implementation manner, in step 102, the specific manner in which the private network server determines the location information of the target specific device according to the location data source based on the mixed-source location algorithm includes:
the private network server inputs the positioning data source into a trained spectrum feature matching model so as to match a map position corresponding to the spectrum feature of the positioning data source in a preset spectrum feature map;
and the private network server determines the map position as second position information of the target special equipment.
Optionally, the preset frequency spectrum feature map may be established according to frequency spectrum data of a plurality of pieces of known location information, and then the second location information of the target special device is determined by determining the current frequency spectrum data corresponding to the obtained location data source and then searching for a map location corresponding to the most similar frequency spectrum data of the current frequency spectrum data in the frequency spectrum feature map. Alternatively, the determined second location information of the target special device may be directly determined as the location information of the target special device.
As an optional implementation manner, in step 102, the specific manner in which the private network server determines the location information of the target specific device according to the location data source based on the mixed-source location algorithm includes:
and the private network server inputs the positioning data source into the trained clutter algorithm model to determine third position information of the target special equipment.
Optionally, the clutter algorithm model is implemented by additionally matching spatial radio frequency signals such as a WLAN signal, a base station signal, and a bluetooth signal with spatial signals such as a geomagnetic signal, an accelerometer signal, a gyroscope signal, and a barometer signal, and performing AI algorithm fusion, so as to achieve high precision and high reliability of positioning.
As an optional implementation manner, in step 102, the specific manner in which the private network server determines the location information of the target specific device according to the location data source based on the mixed-source location algorithm includes:
and the private network server determines fourth position information of the target special equipment according to at least two of the first position information, the second position information and the third position information and a position correction algorithm.
Optionally, the private network server may determine the fourth location information of the target specific device according to a weighted sum of at least two of the first location information, the second location information, and the third location information. Any one of the first position information, the second position information and the third position information which participate in the calculation corresponds to a position weight, and the position weight is in direct proportion to the historical positioning accuracy of a positioning algorithm corresponding to the position information. Optionally, the sum of the position weights of all the position information participating in the calculation is 1. Alternatively, the fourth location information of the target specific device may be determined as its location information.
Therefore, by implementing the optional implementation mode, the private network server can determine the fourth position information of the target special equipment according to at least two of the first position information, the second position information and the third position information, so that the private network server can realize hybrid positioning of multiple signals through multiple algorithms to improve the positioning accuracy to the maximum extent.
In a specific embodiment, the method disclosed in the above embodiment can be applied to the field of police, and implemented as a multi-source mixture-based internet of things positioning method for improving global positioning capability of a police terminal, and the method includes the steps of:
firstly, a special positioning SDK is integrated in an intelligent police terminal.
Developers finish the integrated installation of the positioning software SDK in the intelligent police equipment according to the SDK integrated description document of the WAYAZ standard, so that the terminal equipment after the installation of the SDK has the capability of scanning and acquiring information of peripheral public network base stations, WLAN and the like.
And secondly, scanning peripheral public network base stations, WLAN and the like by the intelligent police service terminal integrated with the positioning SDK to obtain information, and uploading the scanned and obtained fingerprint information to a video private network/mobile police service network in a data stream mode.
The police terminal device integrated with the WAYZ positioning SDK scans (is not connected with) peripheral public network base stations, WLAN and the like through the integrated SDK to acquire information, collects scanned fingerprint information such as device ID, MAC address, signal strength RSSI and the like, and uploads the collected information to positioning server equipment of a video private network or a mobile police network in a data stream mode.
Thirdly, the background positioning server in the mobile police service network/video private network calculates the received fingerprint information to obtain the terminal position information
After receiving information such as the position, name ID, signal strength and surrounding signal environment of fingerprint information of a base station/WLAN and the like scanned by a terminal, a positioning server performs operation by using key technologies such as a special indoor and outdoor mixed source positioning technology, a WLAN/base station/Bluetooth fingerprint library, signal modeling, fingerprint modeling, a frequency spectrum characteristic map algorithm, a space clutter algorithm and the like integrated by the positioning server, so that a user can obtain longitude and latitude coordinates of an intelligent police terminal, and the position information of the intelligent police terminal is rapidly and accurately measured and calculated. The mixed source positioning technology is used for realizing the fusion positioning of multiple signal sources by fusing various signal sources such as WLAN, Bluetooth, base station, geomagnetism, GNSS and the like; the spectral feature map algorithm is that a spectral feature map is constructed for the spectral characteristics of a geographic space through a trained AI model, and then high-precision positioning is realized through model matching; the spatial clutter algorithm is characterized in that spatial radio frequency signals such as WLAN, base station and BLE are used, spatial signals such as a geomagnetic meter, an accelerometer, a gyroscope and a barometer are additionally matched, AI algorithm fusion is carried out, and high positioning precision and high positioning reliability are achieved.
Fourthly, the video private network/the mobile police network directly pushes the calculated positioning result to the positioning terminal in a data stream form
A background positioning server in the mobile police service network/video private network directly pushes the calculated terminal positioning result of the intelligent police service equipment to a screen of a positioning terminal in a data stream mode or depends on a special APP downloaded in the terminal to display in real time
Fifthly, the terminal of the police intelligent equipment displays the received position information on a terminal screen or depends on a special APP in real time, and transmits the positioning result to a smart large screen of a police command center through an existing PDT/POC link channel
The police affair intelligent equipment terminal can also synchronously transmit the positioning result to a police affair command center intelligent large screen through an existing PDT/POC link channel, the command center can acquire various resource states in real time, a scheduling scheme is rapidly formulated, regional police situation display, police situation data, command scheduling and emergency disposal are achieved, and the integrated linkage operation is achieved.
By the method, the intelligent police terminal does not need to be connected with signal sources such as a satellite, a public network base station, a WLAN and the like, and only needs to integrate a special positioning SDK in the terminal equipment, so that the police terminal equipment can scan fingerprint information such as peripheral public network base stations, the WLAN and the like through the SDK and upload the collected fingerprint information to a video private network/mobile police network for operation. In the flow of the positioning method, positioning service, positioning algorithm and the like are deployed in a video private network/mobile police service private network, so that privatized deployment is realized to avoid the problem that the safety of system and user data is difficult to guarantee when the police service is connected with a Beidou/GPS network to realize positioning. In addition, the invention is an Internet of things positioning method based on multi-source mixing, and integrates a plurality of positioning technologies (satellites, WLAN, base stations and the like), so that the response speed is high, the power consumption is low, and the second-level positioning can be realized.
Example two
Referring to fig. 2, fig. 2 is a schematic structural diagram of a hybrid data source-based special equipment positioning system according to an embodiment of the present invention. As shown in fig. 2, the hybrid data source based specialty device location system may include a target specialty device 201 and a private network server 202 connected to each other via a specialty communication network 20.
The target special device 201 is configured to obtain a positioning data source including a plurality of signals, and transmit the positioning data source to the private network server 202 through the special communication network 20, and the private network server 202 is configured to determine the position information of the target special device according to the positioning data source based on at least two positioning algorithms.
Optionally, the target special device 201 may be a device terminal in different special fields, for example, a device terminal in the police field, the customs field, or the urban management field, and optionally, it may include one or more of a police terminal, a customs terminal, an emergency terminal, and an urban management terminal.
Alternatively, the target specific device 201 may be a device for performing different tasks, for example, the target specific device 201 may be a police law enforcement device for performing police law enforcement tasks, or a customs inspection device for performing customs inspection tasks, such as a PDA device with a camera, or an urban management inspection device for performing urban management inspection tasks, or an emergency rescue device for performing emergency rescue tasks, such as a fire fighting device or a pulling device.
Optionally, the positioning data source may include at least two of a satellite signal, a WLAN signal, a base station signal, a bluetooth signal, a magnetometer signal, an accelerometer signal, a gyroscope signal, and a barometer signal.
Alternatively, the special communication network 20 may be a special communication network in different special fields, which generally has privacy attributes, and transmits special communication data through a specific network path or network device to ensure the security of the data. Alternatively, the specialty communication network 20 may include one or more of a police private network, a customs private network, an emergency private network, and a metropolitan area private network.
Optionally, the private network server 202 may be a dedicated data processing server in different special fields, may be a local server or may be a cloud server, and generally has a secret property, and processes and calculates special communication data through a specific network path or a network device to ensure the security of the data. Optionally, the private network server 202 may include one or more of a police private network server, a customs private network server, an emergency private network server, and a city management private network server.
Optionally, the positioning algorithm may include at least two of a mixed-source positioning algorithm, a spectrum feature matching model and a clutter algorithm model to comprehensively determine the location information of the target specific device 201.
It can be seen that, in the above embodiment of the present invention, the private network server 202 can obtain the location data source of the target special device 201 through the special communication network 20, and then determine the location information of the target special device 201 through various location algorithms, on one hand, the security of data is ensured through transmission and location in a special network, and leakage is prevented, and on the other hand, a precise location effect can be achieved based on location of the mixed location data source.
As an alternative embodiment, the private network server 202 is also used to transmit the location information to the target special device 201 for display.
Optionally, the private network server 202 transmits the location information to the target special device 201 through the special communication network 20 for displaying, so as to ensure the security of data transmission. Optionally, display software may be built in the target special device 201, so as to display the position information on the device screen through the display software, so as to remind a special person holding the target special device 201 of the current position.
As an alternative embodiment, the target specialty 201 is also configured to transmit location information to the specialty command terminal via the specialty communication link.
Alternatively, the special communication link may be a dedicated communication link in different special fields, which generally has privacy properties, and may be a communication link using any form of communication electromagnetic waves to ensure data security. Optionally, the special communication link is generally a link for communication among a plurality of terminals that is set up in advance, and communication by using such a link can reduce expenditure for setting up a link again and reduce equipment communication cost. Optionally, the special communication link may include one or more of a police special communication link, a customs special communication link, an emergency special communication link, and an urban management special communication link. In one embodiment, when the present invention is applied in the police field, the specialty communication link may comprise a PDT communication link and/or a POC communication link.
Optionally, the special command terminal may be a terminal device, such as a large-size display device, disposed in the special command center, so as to display the position information of the multiple target special devices 201, which is convenient for the special command center to make a policy in the aspects of command and scheduling. Optionally, the special command terminal may also be a processing device with decision-making capability, which may receive position information of a plurality of target special devices 201 to implement automatic decision-making, and may be embedded with a trained decision-making algorithm model to implement automatic decision-making.
Therefore, by implementing the optional implementation mode, the target special equipment can transmit the position information to the special command terminal through the special communication link, so that the special command terminal can conveniently make strategies in aspects of command scheduling and the like, and the safety of data transmission is ensured through the transmission of the special communication link.
As an alternative embodiment, the specific way for the target specific device 201 to obtain the positioning data source including various signals includes:
the target specific device 201 scans signals in the surrounding environment through the built-in SDK component to acquire a positioning data source including various signals.
Optionally, the developer may complete the installation of the SDK component in the target special device 201 according to the preset SDK installation specification. Optionally, the built-in SDK component may be preset with information such as a signal type to be acquired and a hardware or software interface to be called, and the target special device 201 may scan signals in the surrounding environment through the built-in SDK component to acquire a positioning data source including multiple signals
Therefore, by implementing the optional implementation mode, the target special equipment can obtain the positioning data source comprising various signals through the scanning and acquisition of the built-in SDK component, the function integration and the function installation of the target special equipment are facilitated, the preset SDK component can rapidly guide special personnel to learn and use the special equipment through the SDK specification, meanwhile, the scanning and acquisition mode avoids possible data leakage caused by the mode that the target special equipment is connected with other signal sources, and the safety of data storage and transmission is also ensured.
As an optional implementation manner, the specific manner in which the private network server 202 determines the location information of the target specific device 201 according to the location data source based on the mixed-source location algorithm includes:
the private network server 202 determines first location information of the target special device 201 according to the positioning data source based on the mixed source positioning algorithm.
Optionally, the mixed-source positioning algorithm may fuse various signal sources such as WLAN signals, bluetooth signals, base station signals, geomagnetic signals, satellite signals, and the like, so as to implement the fusion positioning of multiple signal sources. Alternatively, the determined first location information of the target specialty 201 may be directly determined as the location information of the target specialty 201.
As an optional implementation manner, the specific manner in which the private network server 202 determines the location information of the target specific device 201 according to the location data source based on the mixed-source location algorithm includes:
the private network server 202 inputs the positioning data source into the trained spectrum feature matching model so as to match a map position corresponding to the spectrum feature of the positioning data source in a preset spectrum feature map;
the private network server 202 determines the map location as the second location information of the target special device 201.
Optionally, the preset spectrum feature map may be established according to spectrum data of a plurality of pieces of known location information, and then the second location information of the target special device 201 is determined by determining the current spectrum data corresponding to the obtained location data source and then searching for a map location corresponding to the most similar spectrum data of the current spectrum data in the spectrum feature map. Alternatively, the determined second location information of the target specialty 201 may be directly determined as the location information of the target specialty 201.
As an optional implementation manner, the specific manner in which the private network server 202 determines the location information of the target special device 201 according to the positioning data source based on the mixed-source positioning algorithm includes:
the private network server 202 inputs the positioning data source to the trained clutter algorithm model to determine the third location information of the target specialty 201.
Optionally, the clutter algorithm model is implemented by additionally matching spatial radio frequency signals such as a WLAN signal, a base station signal, and a bluetooth signal with spatial signals such as a geomagnetic signal, an accelerometer signal, a gyroscope signal, and a barometer signal, and performing AI algorithm fusion, so as to achieve high precision and high reliability of positioning.
As an optional implementation manner, the specific manner in which the private network server 202 determines the location information of the target special device 201 according to the positioning data source based on the mixed-source positioning algorithm includes:
the private network server 202 determines fourth location information of the target special device 201 according to at least two of the first location information, the second location information, and the third location information, and a location correction algorithm.
Optionally, the private network server 202 may determine the fourth location information of the target specialty device 201 according to a weighted sum of at least two of the first location information, the second location information, and the third location information. Any one of the first position information, the second position information and the third position information which participate in the calculation corresponds to a position weight, and the position weight is in direct proportion to the historical positioning accuracy of a positioning algorithm corresponding to the position information. Optionally, the sum of the position weights of all the position information participating in the calculation is 1.
Therefore, by implementing the optional implementation mode, the private network server can determine the fourth position information of the target special equipment according to at least two of the first position information, the second position information and the third position information, so that the private network server can realize hybrid positioning of multiple signals through multiple algorithms to improve the positioning accuracy to the maximum extent.
EXAMPLE III
Referring to fig. 3, fig. 3 is a special apparatus according to an embodiment of the present invention. The specialty equipment depicted in fig. 3 may be used in a specialty equipment positioning system as described in the first or second embodiments. As shown in fig. 3, the special device may include:
a memory 301 storing executable program code;
a processor 302 coupled to the memory 301;
the processor 302 calls the executable program code stored in the memory 301 to execute the method steps or functions of the special device described in the first embodiment or the second embodiment. For details, reference may be made to the description in the first embodiment or the second embodiment, which are not repeated herein.
Example four
Referring to fig. 4, fig. 4 is a server according to an embodiment of the disclosure. The server described in fig. 4 may be used in a specialty device location system as described in the first or second embodiments. As shown in fig. 4, the server may include:
a memory 401 storing executable program code;
a processor 402 coupled with the memory 401;
the processor 402 calls the executable program code stored in the memory 401 to execute the method steps or functions of the private network server described in the first embodiment or the second embodiment. For details, reference may be made to the description in the first embodiment or the second embodiment, which are not repeated herein.
While certain embodiments of the present disclosure have been described above, other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily have to be in the particular order shown or in sequential order to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system, device, and non-volatile computer-readable storage medium embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference may be made to some descriptions of the method embodiments for relevant points.
The system, the device, the nonvolatile computer readable storage medium and the method provided in the embodiments of the present specification correspond to each other, and therefore, the system, the device, and the nonvolatile computer storage medium also have advantageous technical effects similar to those of the corresponding method.
In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Language Description Language), traffic, pl (core unified Programming Language), HDCal, JHDL (Java Hardware Description Language), langue, Lola, HDL, laspam, hardsradware (Hardware Description Language), vhjhd (Hardware Description Language), and vhigh-Language, which are currently used in most common. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the systems included therein for performing the various functions may also be considered as structures within the hardware component. Or even a system for performing various functions can be considered to be a software module implementing the method or a structure within a hardware component.
The systems, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above system is described as being divided into various units by functions, and described separately. Of course, the functions of the various elements may be implemented in the same one or more software and/or hardware implementations of the present description.
As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The description has been presented with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the description. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction system which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both permanent and non-permanent, removable and non-removable media, may implement the information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium which can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
This description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
All the embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
Finally, it should be noted that: the method, the system, the special device and the server for locating the special device disclosed in the embodiments of the present invention are only preferred embodiments of the present invention, and are only used for illustrating the technical solutions of the present invention, not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art; the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A special equipment positioning method based on a mixed data source is characterized by comprising the following steps:
the method comprises the steps that target special equipment obtains a positioning data source comprising various signals and transmits the positioning data source to a private network server through a special communication network;
and the private network server determines the position information of the target special equipment based on at least two positioning algorithms according to the positioning data source.
2. The hybrid data source based specialty device location method according to claim 1, wherein said method further comprises:
the private network server transmits the position information to the target special equipment for display;
and the target special equipment transmits the position information to a special command terminal through a special communication link.
3. The hybrid data source based specialty device location method of claim 1 wherein said location data source comprises at least two of a satellite signal, a WLAN signal, a base station signal, a bluetooth signal, a geomagnetic signal, an accelerometer signal, a gyroscopic signal, and a barometer signal.
4. The special device positioning method based on the mixed data source as claimed in claim 3, wherein the specific manner for the private network server to determine the position information of the target special device according to the positioning data source based on the mixed source positioning algorithm includes:
the private network server determines first position information of the target special equipment according to the positioning data source based on a mixed source positioning algorithm;
and/or the presence of a gas in the gas,
the private network server inputs the positioning data source to a trained spectrum feature matching model so as to match a map position corresponding to the spectrum feature of the positioning data source in a preset spectrum feature map;
the private network server determines the map position as second position information of the target special equipment;
and/or the presence of a gas in the gas,
and the private network server inputs the positioning data source into a trained clutter algorithm model to determine third position information of the target special equipment.
5. The special device positioning method based on the mixed data source as claimed in claim 4, wherein the specific manner for the private network server to determine the location information of the target special device according to the positioning data source based on the mixed source positioning algorithm includes:
and the private network server determines fourth position information of the target special equipment according to at least two of the first position information, the second position information and the third position information and a position correction algorithm.
6. The special device positioning method based on the mixed data source as claimed in claim 1, wherein the specific manner of acquiring the positioning data source comprising a plurality of signals by the target special device comprises:
the target special device scans signals in the surrounding environment through a built-in SDK component to acquire and obtain a positioning data source comprising a plurality of signals.
7. The hybrid data source-based specialty device location method according to claim 2, wherein the target specialty device comprises one or more of a police terminal, a customs terminal, an emergency terminal, and an urban management terminal; and/or the private network server comprises one or more of a police private network server, a customs private network server, an emergency private network server and a city management private network server; and/or the special communication network comprises one or more of a police special network, a customs special network, an emergency special network and a city management special network; and/or the special communication link comprises one or more of a police special communication link, a customs special communication link, an emergency special communication link and an urban management special communication link; and/or, the specialty communication link comprises a PDT communication link and/or a POC communication link.
8. A special equipment positioning system based on a mixed data source is characterized by comprising target special equipment and a private network server which are mutually connected through a special communication network; wherein:
the target special equipment is used for acquiring a positioning data source comprising various signals and transmitting the positioning data source to a private network server through the special communication network;
and the private network server is used for determining the position information of the target special equipment based on at least two positioning algorithms according to the positioning data source.
9. The special equipment is characterized in that the special equipment is used for acquiring a positioning data source comprising various signals and transmitting the positioning data source to a private network server through a special communication network, so that the private network server determines the position information of the target special equipment based on at least two positioning algorithms according to the positioning data source.
10. A server is characterized in that the server is used for receiving a positioning data source which comprises a plurality of signals and is acquired by a target special device through a special communication network, and determining the position information of the target special device according to the positioning data source and based on at least two positioning algorithms.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104837118A (en) * | 2015-04-29 | 2015-08-12 | 辽宁工业大学 | Indoor fusion positioning system and method based on WiFi and BLUETOOTH |
| WO2018177930A1 (en) * | 2017-03-29 | 2018-10-04 | Robert Bosch Gmbh | Method and system for locating a mobile device, and mobile device |
| CN110118560A (en) * | 2019-05-28 | 2019-08-13 | 东北大学 | A kind of indoor orientation method based on LSTM and Multi-sensor Fusion |
| CN112333820A (en) * | 2021-01-06 | 2021-02-05 | 上海迹寻科技有限公司 | Positioning method and system based on frequency spectrum layer |
| CN112967357A (en) * | 2021-02-19 | 2021-06-15 | 中国人民解放军国防科技大学 | Frequency spectrum map construction method based on convolutional neural network |
| CN113923587A (en) * | 2021-09-03 | 2022-01-11 | 青岛海信网络科技股份有限公司 | Positioning method, system and device |
| CN113919483A (en) * | 2021-09-23 | 2022-01-11 | 南昌大学 | Method and system for constructing and positioning radio map in wireless communication network |
-
2022
- 2022-01-21 CN CN202210069756.6A patent/CN114520954A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104837118A (en) * | 2015-04-29 | 2015-08-12 | 辽宁工业大学 | Indoor fusion positioning system and method based on WiFi and BLUETOOTH |
| WO2018177930A1 (en) * | 2017-03-29 | 2018-10-04 | Robert Bosch Gmbh | Method and system for locating a mobile device, and mobile device |
| CN110118560A (en) * | 2019-05-28 | 2019-08-13 | 东北大学 | A kind of indoor orientation method based on LSTM and Multi-sensor Fusion |
| CN112333820A (en) * | 2021-01-06 | 2021-02-05 | 上海迹寻科技有限公司 | Positioning method and system based on frequency spectrum layer |
| CN112967357A (en) * | 2021-02-19 | 2021-06-15 | 中国人民解放军国防科技大学 | Frequency spectrum map construction method based on convolutional neural network |
| CN113923587A (en) * | 2021-09-03 | 2022-01-11 | 青岛海信网络科技股份有限公司 | Positioning method, system and device |
| CN113919483A (en) * | 2021-09-23 | 2022-01-11 | 南昌大学 | Method and system for constructing and positioning radio map in wireless communication network |
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