CN118102233A - Object positioning method and device for multiple scenes of pumped storage foundation engineering - Google Patents
Object positioning method and device for multiple scenes of pumped storage foundation engineering Download PDFInfo
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Abstract
The application relates to a method and a device for positioning objects in multiple scenes of pumped storage foundation engineering. The method comprises the following steps: acquiring object identification information of a target object and acquiring base station characteristic information related to the target object; determining object state information of a target object according to the object identification information and the base station characteristic information; inputting the object state information into an object identification positioning model corresponding to multiple scenes of the pumped storage infrastructure engineering to obtain object positioning information; the object positioning information is used for generating object management data corresponding to the target object. The method can provide comprehensive object management data and has beneficial effects on real-time decision making, resource allocation and maintenance planning, so that the efficiency and the sustainability of the pumped storage foundation engineering are improved.
Description
Technical Field
The present application relates to the field of computer technology, and in particular, to a method, an apparatus, a computer device, a storage medium, and a computer program product for positioning objects in multiple scenarios in pumped storage infrastructure engineering.
Background
With the development of computer technology, a scene object positioning technology has emerged, which is a technology for accurately positioning objects or targets in a specific scene by using different sensors, models or algorithms. The application field of the technology is very wide, including intelligent transportation, industrial automation, intelligent building and the like.
In the traditional technology, scene object positioning technology has some defects in pumped storage infrastructure engineering, mainly comprises the challenges of being influenced by signal shielding and multipath effects, being limited to specific scenes, being high in energy consumption, being high in installation and maintenance cost, being sensitive to environmental conditions, relating to data safety and privacy problems and the like. These problems can lead to reduced positioning accuracy, reduced system reliability, and increased operating costs, such that the efficiency and sustainability of high pumped storage capital construction projects are low.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a method, apparatus, computer device, computer readable storage medium, and computer program product for object localization in multiple scenarios of a pumped-storage capital construction project that can improve the efficiency and sustainability of the pumped-storage capital construction project.
In a first aspect, the application provides a pumped storage construction project multi-scene object positioning method. The method comprises the following steps:
acquiring object identification information of a target object and acquiring base station characteristic information related to the target object;
Determining object state information of the target object according to the object identification information and the base station characteristic information;
Inputting the object state information into an object identification positioning model corresponding to the pumped storage construction project multi-scene to obtain object positioning information; the object positioning information is used for generating object management data corresponding to the target object.
In a second aspect, the application also provides a pumped storage foundation engineering multi-scene object positioning device. The device comprises:
the object information acquisition module is used for acquiring object identification information of a target object and acquiring base station characteristic information related to the target object;
The state information determining module is used for determining object state information of the target object according to the object identification information and the base station characteristic information;
The positioning information obtaining module is used for inputting the object state information into an object identification positioning model corresponding to the pumped storage foundation engineering multi-scene to obtain object positioning information; the object positioning information is used for generating object management data corresponding to the target object.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:
acquiring object identification information of a target object and acquiring base station characteristic information related to the target object;
Determining object state information of the target object according to the object identification information and the base station characteristic information;
Inputting the object state information into an object identification positioning model corresponding to the pumped storage construction project multi-scene to obtain object positioning information; the object positioning information is used for generating object management data corresponding to the target object.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
acquiring object identification information of a target object and acquiring base station characteristic information related to the target object;
Determining object state information of the target object according to the object identification information and the base station characteristic information;
Inputting the object state information into an object identification positioning model corresponding to the pumped storage construction project multi-scene to obtain object positioning information; the object positioning information is used for generating object management data corresponding to the target object.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the steps of:
acquiring object identification information of a target object and acquiring base station characteristic information related to the target object;
Determining object state information of the target object according to the object identification information and the base station characteristic information;
Inputting the object state information into an object identification positioning model corresponding to the pumped storage construction project multi-scene to obtain object positioning information; the object positioning information is used for generating object management data corresponding to the target object.
The object positioning method, the device, the computer equipment, the storage medium and the computer program product for multiple scenes of the pumped storage foundation engineering are realized by acquiring the object identification information of a target object and acquiring the base station characteristic information related to the target object; determining object state information of a target object according to the object identification information and the base station characteristic information; inputting the object state information into an object identification positioning model corresponding to multiple scenes of the pumped storage infrastructure engineering to obtain object positioning information; the object positioning information is used for generating object management data corresponding to the target object.
By acquiring the object identification information of the target object and the base station characteristic information related thereto, the system can integrate these data to determine the real-time status of the target object. The obtained object state information is input into an object identification positioning model corresponding to multiple scenes of the pumped storage foundation engineering, so that the accurate positioning of the target object can be realized. Such positioning information not only helps to monitor the position and motion of the target object in different scenarios, but also can be used to generate object management data. Such management data is critical to the efficient operation and optimization of pumped storage capital construction projects. By integrating object state and positioning information, the system can provide comprehensive object management data and provide beneficial effects for real-time decision making, resource allocation and maintenance planning, thereby improving the efficiency and sustainability of pumped storage construction engineering.
Drawings
FIG. 1 is an application environment diagram of a method for object localization in multiple scenarios of pumped storage infrastructure projects in one embodiment;
FIG. 2 is a flow chart of a method for object localization in multiple scenarios of pumped storage infrastructure projects in one embodiment;
FIG. 3 is a flowchart of a first method for determining object positioning information according to an embodiment;
FIG. 4 is a flowchart of a second method for determining object positioning information according to an embodiment;
FIG. 5 is a flow chart of a third method for determining object positioning information according to an embodiment;
FIG. 6 is a flow chart of a fourth method for determining object positioning information according to an embodiment;
FIG. 7 is a flowchart of a fifth method for determining object positioning information according to an embodiment;
FIG. 8 is a flowchart of a sixth method for determining object positioning information according to an embodiment;
FIG. 9 is a block diagram of a pumped storage infrastructure multi-scenario object locating device in one embodiment;
fig. 10 is an internal structural view of a computer device in one embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The object positioning method for multiple scenes of the pumped storage infrastructure engineering provided by the embodiment of the application can be applied to an application environment shown in figure 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server. The server 104 obtains object identification information of the target object through the terminal 102 and obtains base station characteristic information related to the target object; determining object state information of a target object according to the object identification information and the base station characteristic information; inputting the object state information into an object identification positioning model corresponding to multiple scenes of the pumped storage infrastructure engineering to obtain object positioning information; the object positioning information is used for generating object management data corresponding to the target object. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices, and portable wearable devices, where the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart vehicle devices, and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.
In one embodiment, as shown in fig. 2, there is provided a method for positioning objects in multiple scenarios of pumped storage infrastructure projects, which is described by taking the application of the method to the server in fig. 1 as an example, and includes the following steps:
Step 202, obtaining object identification information of a target object, and obtaining base station characteristic information related to the target object.
Wherein the object identification information may be identification information capable of reflecting physical characteristics of the target object.
In particular, it is first necessary to acquire its unique object identification information using appropriate technical means, for example, using an identification system or a sensor of the target object, which involves technologies of image recognition, biometric recognition, and the like. Meanwhile, in order to acquire the characteristic information of the base station related to the target object, a base station positioning system can be utilized to collect the characteristic information such as the position, the signal strength and the like of the base station through the signal interaction between the target object and surrounding base stations. The whole implementation process relates to the synergic action of the target object recognition technology and the base station communication technology so as to ensure that the identification information of the target object and the base station characteristic information related to the target object are accurately acquired.
Step 204, determining object state information of the target object according to the object identification information and the base station characteristic information.
The object state information may be a current state of the target object, for example: the trajectory of the target object, the motion of the target object, the temperature of the target object, the body information of the target object, etc.
Specifically, with the object identification information, the system can uniquely identify the target object. By analyzing the characteristic information of the base station, including the position, signal strength and other data of the base station, the relation and interaction condition between the target object and the base station can be obtained. Considering the object identification information and the base station characteristic information in combination, the current state of the target object, such as its position, moving direction, activity state, etc., can be inferred. This process involves data fusion, model matching, or machine learning algorithms to efficiently translate object identification information and base station characteristic information into object state information for the target object.
And 206, inputting the object state information into an object identification positioning model corresponding to the pumped storage infrastructure project multi-scene to obtain object positioning information.
Wherein the object identification positioning model may be a positioning model for determining positioning information of the target object.
The object positioning information may be information for generating object management data corresponding to the target object.
Specifically, object state information, such as a position, a motion state and the like, obtained through a sensor or other data acquisition means is provided for an object identification positioning model corresponding to multiple scenes of the pumped storage infrastructure engineering, the object identification positioning model can be based on advanced positioning technology, such as a Global Positioning System (GPS), an inertial navigation system or other positioning algorithms, and the model can accurately calculate the accurate position of a target object in the different scenes of the pumped storage infrastructure engineering through analysis and processing of the object state information.
In the object positioning method of the pumped storage foundation engineering multi-scene, the object identification information of the target object is obtained, and the base station characteristic information related to the target object is obtained; determining object state information of a target object according to the object identification information and the base station characteristic information; inputting the object state information into an object identification positioning model corresponding to multiple scenes of the pumped storage infrastructure engineering to obtain object positioning information; the object positioning information is used for generating object management data corresponding to the target object.
By acquiring the object identification information of the target object and the base station characteristic information related thereto, the system can integrate these data to determine the real-time status of the target object. The obtained object state information is input into an object identification positioning model corresponding to multiple scenes of the pumped storage foundation engineering, so that the accurate positioning of the target object can be realized. Such positioning information not only helps to monitor the position and motion of the target object in different scenarios, but also can be used to generate object management data. Such management data is critical to the efficient operation and optimization of pumped storage capital construction projects. By integrating object state and positioning information, the system can provide comprehensive object management data and provide beneficial effects for real-time decision making, resource allocation and maintenance planning, thereby improving the efficiency and sustainability of pumped storage construction engineering.
In one embodiment, as shown in fig. 3, inputting object state information into an object identification positioning model corresponding to multiple scenes of a pumped storage infrastructure project to obtain object positioning information, including:
step 302, inputting object state information to a pumped storage foundation engineering scene recognition layer of an object identification positioning model, and determining a pumped storage foundation engineering scene corresponding to a target object.
The pumped storage foundation engineering scene recognition layer can be a recognition layer for recognizing the scene of the pumped storage foundation engineering in the object identification positioning model.
The pumped storage foundation engineering scene can be the current pumped storage foundation engineering scene.
Specifically, the acquired object state information, including position, motion state, etc., is transferred to the pumped storage infrastructure engineering scene recognition layer. And at the pumped storage foundation engineering scene recognition layer, using deep learning, image processing or other scene recognition technologies to analyze and classify the object state information so as to determine the pumped storage foundation engineering scene in which the target object is positioned. The pumped storage foundation engineering scene recognition layer can map the object state to a specific foundation engineering scene, such as an energy storage pool area, a water pump station and the like, according to scene characteristics and modes obtained through previous training, so that accurate recognition of the scene of the target object in the foundation engineering is realized, and targeted information support is provided for subsequent operation, maintenance, monitoring and management.
And step 304, determining object positioning information according to the object state information and the pumped storage construction engineering scene.
Specifically, the object state information is integrated with the data of the scene of the pumped storage infrastructure project. By establishing a proper association model, the system can interpret and map object state information in different scenes. This process involves model training in which machine learning and data analysis techniques can be used to accurately infer the specific location of a target object in different scenarios. By comprehensively considering object state information and engineering scenes, positioning information of a target object can be obtained and provided for a monitoring and management system of the pumped storage infrastructure engineering so as to support real-time decision making and operation optimization.
In this embodiment, the object state information is input to the pumped storage infrastructure engineering scene recognition layer of the object identification positioning model, so that intelligent recognition of the pumped storage infrastructure engineering scene where the target object is located can be realized. The system can accurately judge the current scene of the target object, such as an energy storage pool area, a water pump station and the like, according to the state of the object and the scene characteristics of the environment. By integrating object state information and scene characteristics, the system can accurately determine positioning information of the target object in the construction project. Such operations are beneficial to achieving dynamic tracking and location management of target objects, and provide intelligent monitoring and positioning services for capital construction projects. The whole implementation process is beneficial to improving the understanding of the system to the engineering scene and the accurate grasp of the target object position, and provides beneficial effects for real-time decision and management.
In one embodiment, as shown in fig. 4, determining object positioning information according to object state information and pumped storage infrastructure engineering scenario includes:
And step 402, selecting a target pumped storage foundation engineering scene model from the pumped storage foundation engineering scene model set according to the object state information and the pumped storage foundation engineering scene.
Specifically, the object state information is matched with a pumped storage foundation engineering scene model set, wherein the pumped storage foundation engineering scene model set comprises various models defined based on machine learning, deep learning or rules, and each model corresponds to a specific foundation engineering scene. By comparing the matching degree of the states of the target objects and the models, the system can select the most suitable target pumped storage foundation construction scene model. The selection process depends on the accuracy, instantaneity and adaptability of the model, so that the target object can be accurately identified and positioned under different scenes.
And step 404, inputting the object state information into a target pumped storage infrastructure engineering scene model to obtain object positioning information.
Specifically, the object state information is input to a target pumped storage infrastructure engineering scene model, which is an algorithm defined in combination with machine learning, deep learning or rules, specifically designed to resolve the object state in a specific pumped storage infrastructure engineering scene. Through analysis and model calculation of object state information by the target pumped storage foundation engineering scene model, the system can obtain accurate object positioning information of the target object, including specific positions, activity states and the like of each element in the pumped storage foundation engineering. This process relies on the accuracy and real-time nature of the model to ensure a high degree of accuracy in locating the target object, thereby providing powerful support for monitoring, management and real-time decisions.
In this embodiment, the target model is selected from the scene model set according to the object state information and the pumped storage infrastructure scene, and then the object state information is input into the model, so that accurate positioning of the target object is facilitated. By selecting the model from the set of models that best suits the current engineering scenario, the system is able to more accurately interpret and predict the motion and position of the target object. The object state information is input into the selected target model, so that the positioning accuracy and the real-time performance are further optimized. The process is beneficial to improving the understanding of the system on the target object position in the pumped storage construction engineering scene, and provides more reliable object positioning information for engineering management and monitoring. The whole implementation process realizes intelligent object positioning by integrating the scene model and the real-time state information, and provides beneficial effects for operation and decision making of the pumped storage infrastructure engineering.
In one embodiment, as shown in fig. 5, in the case that the number of base stations in the target pumped storage infrastructure engineering scene model is single; inputting object state information into a target pumped storage infrastructure engineering scene model to obtain object positioning information, wherein the method comprises the following steps of:
step 502, matching the object state information with each model function in the target pumped storage infrastructure engineering scene model to obtain matched object information.
The matching object information may be a matching result of the object state information and each model function in the model.
In particular, object state information is compared and matched with different model functions in a target pumped storage infrastructure scene model, each of which may have unique functions and characteristics for a particular scene or object state. By comparing the state of the target object with the degree of matching of each model function, the system can determine the most appropriate model function, thereby obtaining matching object information. This process utilizes machine learning algorithms, rules engines, or other intelligent techniques to ensure efficient interpretation and matching of target object state information.
And step 504, monitoring physical characteristics of each piece of matched object information to obtain object positioning information.
Specifically, the physical characteristics of the matched object information are monitored in real time by utilizing different model functions in the target pumped storage infrastructure engineering scene model of the system, and technologies such as data analysis, real-time processing and model updating can be involved. This process allows the system to constantly track and adjust the physical state of the target object, ensuring the timeliness and accuracy of the object positioning information. By continuously monitoring the physical characteristics of the matched object information, the system can realize real-time positioning of the target object in the pumped storage infrastructure engineering, and reliable physical data support is provided for engineering management and decision-making.
In one specific embodiment, 1, person identification: surrounding persons can be identified through signal information received by the base station. Each person carries a specific identifier, such as an identification card, employee card, etc., which the base station can identify by the received signal and associate with the specific person. 2. And (3) judging the entering state: once a person is identified, the algorithm may determine whether the person has entered the work surface. This can be achieved by monitoring the distance between personnel and the base station or the change in signal strength. If the distance or signal strength of a person exceeds a certain threshold, it can be determined that the person has entered the work surface. 3. And (3) heart beat maintenance: once a person has entered the workplace, the algorithm needs to keep track of its status. This may be achieved by sending heartbeat signals periodically. The equipment carried by the personnel can send heartbeat signals to the base station periodically, and the base station confirms that the personnel are still in the working face through the received heartbeat signals and keeps updating the state of the personnel. 4. And (3) judging the leaving state: when a person leaves the work surface, the algorithm needs to be able to determine the time and location of his departure. This can be achieved by monitoring the distance between personnel and the base station or the change in signal strength. If the distance or signal strength of a person exceeds a certain threshold and for a period of time, it may be determined that the person has left the work surface. 5. Counting the number of people: the algorithm can count the number of people in the working surface in real time through judging the entering and leaving states. Each time a person enters or leaves the work surface, the algorithm updates the statistics accordingly to provide accurate person count information.
In this embodiment, the object state information is matched with each model function in the target pumped storage infrastructure engineering scene model, and then the physical characteristics of the matched object information are monitored, so that the high-precision positioning of the target object is facilitated. By matching object information with model functions, the system is able to more accurately interpret object states, including their position, motion state, etc. Then, physical characteristics of the matching object information, such as position change, speed change and the like, are monitored, so that the real-time tracking accuracy of the target object is further improved. The process is beneficial to ensuring the accuracy and stability of the object positioning information and providing reliable real-time monitoring and management support for pumped storage construction engineering. The whole implementation process combines the advantages of multiple aspects such as model matching, physical characteristic monitoring, real-time feedback and the like, improves the overall perception of the target object position, and provides beneficial effects for engineering operation and decision making.
In one embodiment, as shown in fig. 6, in the case that the number of base stations in the target pumped storage infrastructure scene model is plural; inputting object state information into a target pumped storage infrastructure engineering scene model to obtain object positioning information, wherein the method comprises the following steps of:
Step 602, determining coverage areas of the base stations according to the base station characteristic information corresponding to the base stations.
The base station characteristic information may be physical characteristic information of the base station itself.
Specifically, by collecting base station characteristic information, including signal strength, transmission power, etc., the system is able to analyze the performance of each base station. By utilizing the characteristic information of the base stations, the system can carry out boundary division and positioning of coverage areas, and adopts coverage analysis technology in the field of wireless communication, and the signal coverage areas of all the base stations are accurately defined by combining a mathematical model or a Geographic Information System (GIS) and other tools. This procedure aims at determining the effective communication range of each base station, thereby forming an overlay network in the whole area. Through comprehensive analysis of the base station characteristic information, the system can ensure accurate judgment of each base station coverage area, and provides powerful support for planning, optimizing and managing the mobile communication system. The whole implementation process combines the knowledge in the fields of signal processing, geographic information analysis, network planning and the like to realize effective determination of the coverage area of the base station.
And step 604, inputting the object state information into a target pumped storage foundation engineering scene model to obtain an object motion prediction track.
The object motion prediction trajectory may be prediction data of a trajectory of motion of the target object.
Specifically, object state information is input to a target pumped storage infrastructure engineering scene model. The target pumped storage foundation engineering scene model utilizes methods such as machine learning, mathematical model or physical simulation and the like to understand the motion behavior of objects in a specific scene. By analyzing the object state information and calculating the model, the system can predict the future motion trail of the target object, and the process is helpful for identifying possible movement trends in advance, so that valuable information is provided for planning and management of the construction project.
And step 606, inputting the object motion prediction track and each base station coverage area into a target pumped storage infrastructure engineering scene model to obtain object positioning information.
Specifically, the motion prediction track of the object and the coverage area of each base station are input into a target pumped storage foundation engineering scene model. The target pumped storage foundation engineering scene model comprehensively considers the movement mode of the object and the coverage area of the base station, and analyzes the movement mode and the coverage area of the base station through machine learning or simulation technology to obtain accurate object positioning information of the object in the foundation engineering scene, including the current position and possible future moving paths of the object.
In a specific embodiment, the area is divided into five areas, namely, an area a, an area B, an area C, an area D and an area E, wherein the area a is outside the tunnel, the area B is only covered by signals of the main base station, the area D is only covered by signals of the auxiliary base station, the area C is an overlapping area, and the area E is inside the tunnel.
Judging the vehicle and personnel entering and exiting states according to the following conditions: 1. the path is A.fwdarw.B, and is determined to be in progress. 2. The path is E.fwdarw.D, and is determined to be leaving. 3. The path is A- & gt B- & gt … - & gt D- & gt E, and the entry is judged. 4. The path is E→D→ … →B→A, and the departure is judged. 5. The path is A.fwdarw.B.fwdarw. ….fwdarw.A, and the entry of the return is determined. 6. The path is E.fwdarw.D. ….fwdarw.E, and is determined to be out of the turn.
In this embodiment, by determining the coverage area of each base station according to the base station characteristic information of each base station, inputting the object state information into the target pumped storage infrastructure engineering scene model to obtain the motion prediction track of the object, and combining the coverage areas of each base station, the system can obtain more accurate object positioning information. First, the coverage of each base station is determined based on the base station characteristic information to ensure that the system is fully aware of the structure of the communication network. Then, the object state information is input into a scene model to obtain a motion prediction track of the object, so that future positions and paths of the target object can be predicted. Finally, combining the object motion trail and the base station coverage area, the system further refines the positioning information of the object through the scene model so as to realize more comprehensive and accurate positioning. The multi-stage process is beneficial to comprehensively considering the communication network and the object dynamics, provides finer and reliable object positioning information for pumped storage infrastructure engineering, and provides beneficial effects for real-time decision, operation and maintenance optimization, safety monitoring and the like. The whole flow integrates a plurality of data sources such as base station characteristics, motion trail prediction, scene models and the like, and provides comprehensive and deep object positioning information for the system.
In one embodiment, as shown in fig. 7, in the case where each base station in the target pumped storage infrastructure engineering scene model is a virtual base station; inputting object state information into a target pumped storage infrastructure engineering scene model to obtain object positioning information, wherein the method comprises the following steps of:
step 702, combining the base station characteristic information corresponding to each base station to obtain a virtual base station group.
The virtual base station group may be a base station group formed by virtualizing each base station.
Specifically, a comprehensive base station characteristic database is built by collecting characteristic information of each base station, including signal strength, transmission power and the like. The information is combined to form a virtual base station group. This involves the process of data integration, processing and analysis to ensure comprehensive integration of all base station characteristic information. The formation of the virtual base station group can be carried out through a mathematical model, an algorithm or a machine learning method so as to obtain more comprehensive and accurate base station group characteristics, and the obtained virtual base station group can play an important role in planning, optimizing and managing a communication system and provides support for improving the performance of a communication network.
And step 704, inputting the object state information and the virtual base station group into a target pumped storage infrastructure engineering scene model to obtain object positioning information.
Specifically, as the virtual base station group includes characteristics of signal intensity, transmission range and the like of different base stations, the object state information and the virtual base station group are combined and then input into the target pumped storage foundation engineering scene model, and the target pumped storage foundation engineering scene model comprehensively considers the object state and the information of the virtual base station group and analyzes the information by utilizing methods such as machine learning or mathematical modeling and the like, so that accurate object positioning information of a target object in a foundation engineering scene is obtained.
In a specific embodiment, the virtual base station combines a plurality of single base stations to form a base station group to realize the function of the virtual base station. One base station has the responsibility of the main base station through election, so that internal coordination is completed, and information is output to the outside uniformly. When a plurality of individual base stations are combined together to form a base station group, a virtual base station is formed. The main purpose of the virtual base station is to provide better network coverage and capacity management.
First, the virtual base station can expand the coverage of the network. The coverage of a single base station is limited, especially in areas of high density population or areas where geographical conditions are complex, the signal of a single base station may not cover all users. By combining multiple base stations together, the virtual base station can provide a wider coverage area, ensuring that users can obtain stable signal connections in different areas.
Second, the virtual base station can better manage network capacity. In a conventional single base station, as the number of users increases, the base station may face the problem of insufficient capacity, resulting in network congestion and reduced signal quality. And the virtual base station can realize better load balancing by distributing the user traffic to different base stations, thereby improving the capacity management capability of the network. The main base station is responsible for coordinating the work in the base station group, dynamically distributing resources according to the user demands and the network load condition, and ensuring that the network can meet the demands of users.
In addition, the virtual base station can provide better network reliability and performance. When one base station fails or maintains, other base stations can take over the work of the base station, and the continuity and stability of the network are ensured. The virtual base station can also improve the performance of the network through a higher-level signal processing and scheduling algorithm, reduce signal interference and delay and provide better user experience.
In this embodiment, the base station characteristic information corresponding to each base station is combined to form a virtual base station group, and then the object state information and the virtual base station group are input into the target pumped storage foundation engineering scene model, which is beneficial to improving the accuracy and the comprehensiveness of object positioning. First, the characteristic information of each base station is integrated to form a virtual base station group, and the overall structure and performance of the communication network are fully considered. Then, the object state information and the virtual base station group are input into the scene model, and the system can more comprehensively analyze the position information of the object covered by different base stations, so as to obtain a more accurate object positioning result. The process is helpful for improving the understanding of the system to the target object position, particularly under the complex environment, the introduction of the virtual base station group can make up the condition of insufficient or uneven distribution of the actual base station, and the method has the beneficial effects of real-time monitoring and management of the pumped storage infrastructure engineering. The whole flow integrates multi-source information such as base station characteristics, virtual base station groups, object states and the like, provides more accurate and comprehensive object positioning data for the system, and provides more reliable support for engineering operation and decision.
In one embodiment, as shown in fig. 8, in the case where the pumped storage infrastructure engineering scenario is a plurality of scenarios; determining object positioning information according to object state information and pumped storage infrastructure engineering scenes, including:
Step 802, selecting a target pumped storage foundation engineering scene model corresponding to each pumped storage foundation engineering scene from a pumped storage foundation engineering scene model set according to object state information and each pumped storage foundation engineering scene.
Specifically, the system object state information and the matching degree of each pumped storage foundation engineering scene with each pumped storage foundation engineering scene in the pumped storage foundation engineering scene model set select the target pumped storage foundation engineering scene model which corresponds to each pumped storage foundation engineering scene and accords with the pumped storage foundation engineering scene. This selection process may be based on techniques such as machine learning, model matching, or rule engines to ensure that the selected model most accurately reflects the current engineering scenario.
Step 804, the object state information is input to each target pumped storage infrastructure engineering scene model correspondingly, and each initial object positioning data is obtained.
Specifically, the object state information is input to each object pumped storage foundation engineering scene model correspondingly, each object pumped storage foundation engineering scene model analyzes and analyzes the object state information by adopting different algorithms, rules or machine learning technologies, and the output result of the object pumped storage foundation engineering scene model provides initial object positioning data for each model and reflects the object positions in different pumped storage foundation engineering scenes.
Step 806, fitting each initial object positioning data to obtain object positioning information.
Specifically, by using a fitting algorithm, curve fitting, or other mathematical model, each initial object positioning data is fitted to obtain smoother and more accurate object positioning information. The fitting process aims to identify potential patterns or trends, thereby improving the accuracy and consistency of the positioning data. This process may involve steps such as parameter adjustment, optimization algorithms, etc. to ensure that the obtained object positioning information complies with the actual scenario and has a higher degree of reliability.
In a specific embodiment, the positioning labels are combined to be positioned in combination with different scenes such as a working surface, an entrance and the like, so that the track drawing of the positioning labels is realized, the positioning result is calibrated in real time, and the positioning precision can be improved to a certain extent. Based on development of object positioning management equipment, fusion positioning and sensing of scene base stations such as an entrance, a working face and the like are realized, and intelligent sensing of the pumping energy storage foundation engineering space is realized.
In a specific embodiment, multiple-entry personnel are in different scenarios, and multiple-entry personnel statistics algorithm is used to process the scenarios after the interior of multiple closed caverns is opened. The key technical points are described as follows: 1. and (3) data acquisition: and a positioning base station is arranged at each access and exit and is used for collecting the data of personnel in real time. 2. And (3) judging the access: by analyzing the direction and position of movement of the locating tag, the algorithm can determine whether a person is entering or leaving the venue. For example, if a tag moves from outside to inside, it is considered to be an entry; if the tag moves from inside to outside, it is considered to be away. 3. Personnel count: the algorithm can calculate the number of people in real time through statistics of the in-out judgment.
The key to realize the multi-exit personnel statistics algorithm is that the selected positioning base station is suitable and needs to be selected according to the conditions of power supply of an exit, network coverage and the like so as to achieve long-term stable and reliable operation of the system. Based on the development of the object positioning management equipment, the multi-exit and entrance joint management is realized, and the functions of personnel punching, personnel statistics in holes and the like are realized.
In this embodiment, the target scene model is selected from the model set according to the object state information and the pumped storage infrastructure engineering scene, then the object state information is respectively input into each target model to obtain each initial object positioning data, and finally fitting is performed, which is beneficial to improving the accuracy and stability of the target object position. Firstly, by selecting a model suitable for the current engineering scene, the system can better adapt to the characteristics of different engineering environments, and the interpretation capability of the object state is enhanced. Then, the object state information is respectively input into each target model to obtain a plurality of groups of initial object positioning data, which provides various visual angles and information and is helpful for comprehensively understanding the motion trail of the object under different scenes. Finally, fitting the initial data can obtain smoother and more accurate object positioning information, and a more reliable data basis is provided for subsequent monitoring, decision making and management. The whole flow provides more reliable and comprehensive object positioning information for the system through multi-model selection, analysis and data optimization, and provides beneficial effects for operation and decision making of the pumped storage infrastructure engineering.
It should be understood that, although the steps in the flowcharts related to the above embodiments are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a pumped storage foundation engineering multi-scene object positioning device for realizing the pumped storage foundation engineering multi-scene object positioning method. The implementation scheme of the solution provided by the device is similar to the implementation scheme recorded in the method, so the specific limitation in the embodiments of the object positioning device of one or more pumped storage foundation works multi-scenario provided below can be referred to the limitation of the object positioning method of one pumped storage foundation works multi-scenario hereinabove, and the description is omitted here.
In one embodiment, as shown in fig. 9, there is provided an object positioning apparatus for multiple scenarios of pumped storage infrastructure projects, comprising: an object information acquisition module 902, a status information determination module 904, and a positioning information obtaining module 906, wherein:
An object information obtaining module 902, configured to obtain object identification information of a target object, and obtain base station characteristic information related to the target object;
A state information determining module 904, configured to determine object state information of the target object according to the object identification information and the base station characteristic information;
The positioning information obtaining module 906 is configured to input object state information to an object identifier positioning model corresponding to multiple scenes of the pumped storage infrastructure project, so as to obtain object positioning information; the object positioning information is used for generating object management data corresponding to the target object.
In one embodiment, the positioning information obtaining module 906 is further configured to input object state information to a pumped storage infrastructure engineering scene identification layer of the object identification positioning model, and determine a pumped storage infrastructure engineering scene corresponding to the target object; and determining object positioning information according to the object state information and the pumped storage infrastructure engineering scene.
In one embodiment, the positioning information obtaining module 906 is further configured to select a target pumped storage infrastructure engineering scene model from the pumped storage infrastructure engineering scene model set according to the object state information and the pumped storage infrastructure engineering scene; and inputting the object state information into a target pumped storage infrastructure engineering scene model to obtain object positioning information.
In one embodiment, the positioning information obtaining module 906 is further configured to match the object state information with each model function in the target pumped storage infrastructure engineering scene model to obtain matched object information; and monitoring the physical characteristics of each piece of matched object information to obtain object positioning information.
In one embodiment, the positioning information obtaining module 906 is further configured to determine coverage areas of the base stations according to the base station characteristic information corresponding to the base stations; inputting object state information into a target pumped storage infrastructure engineering scene model to obtain an object motion prediction track; and inputting the object motion prediction track and each base station coverage area into a target pumped storage infrastructure engineering scene model to obtain object positioning information.
In one embodiment, the positioning information obtaining module 906 is further configured to combine the base station characteristic information corresponding to each base station to obtain a virtual base station group; and inputting the object state information and the virtual base station group into a target pumped storage infrastructure engineering scene model to obtain object positioning information.
In one embodiment, the positioning information obtaining module 906 is further configured to select, according to the object state information and each pumped storage infrastructure engineering scene, a target pumped storage infrastructure engineering scene model corresponding to each pumped storage infrastructure engineering scene from the pumped storage infrastructure engineering scene model set; respectively inputting object state information into each target pumped storage foundation engineering scene model correspondingly to obtain initial object positioning data; fitting all the initial object positioning data to obtain object positioning information.
The modules in the object positioning device for multiple scenes of the pumped storage foundation engineering can be all or partially realized by software, hardware and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, and the internal structure of which may be as shown in fig. 10. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is for storing server data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program when executed by the processor is used for realizing a multi-scene object positioning method of the pumped storage foundation engineering.
It will be appreciated by those skilled in the art that the structure shown in FIG. 10 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In an embodiment, there is also provided a computer device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.
In one embodiment, a computer-readable storage medium is provided, storing a computer program which, when executed by a processor, implements the steps of the method embodiments described above.
In one embodiment, a computer program product or computer program is provided that includes computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device performs the steps in the above-described method embodiments.
The user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are information and data authorized by the user or sufficiently authorized by each party.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magneto-resistive random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (PHASE CHANGE Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in various forms such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), etc. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.
Claims (10)
1. The object positioning method for multiple scenes of pumped storage foundation engineering is characterized by comprising the following steps of:
acquiring object identification information of a target object and acquiring base station characteristic information related to the target object;
Determining object state information of the target object according to the object identification information and the base station characteristic information;
Inputting the object state information into an object identification positioning model corresponding to the pumped storage construction project multi-scene to obtain object positioning information; the object positioning information is used for generating object management data corresponding to the target object.
2. The method of claim 1, wherein the inputting the object state information into the object identifier positioning model corresponding to the pumped storage infrastructure project multi-scenario to obtain object positioning information includes:
inputting the object state information to a pumped storage foundation engineering scene identification layer of the object identification positioning model, and determining a pumped storage foundation engineering scene corresponding to the target object;
And determining the object positioning information according to the object state information and the pumped storage infrastructure engineering scene.
3. The method of claim 2, wherein said determining said object location information based on said object state information and said pumped storage infrastructure engineering scenario comprises:
selecting a target pumped storage foundation engineering scene model from a pumped storage foundation engineering scene model set according to the object state information and the pumped storage foundation engineering scene;
and inputting the object state information into the target pumped storage infrastructure engineering scene model to obtain the object positioning information.
4. A method according to claim 3, wherein in case the number of base stations in the target pumped storage infrastructure engineering scene model is single; the step of inputting the object state information into the target pumped storage infrastructure engineering scene model to obtain the object positioning information comprises the following steps:
matching the object state information with each model function in the target pumped storage infrastructure engineering scene model to obtain matched object information;
and monitoring the physical characteristics of each piece of matched object information to obtain the object positioning information.
5. A method according to claim 3, wherein in case the number of base stations in the target pumped storage infrastructure engineering scene model is a plurality; the step of inputting the object state information into the target pumped storage infrastructure engineering scene model to obtain the object positioning information comprises the following steps:
determining the coverage area of each base station according to the base station characteristic information corresponding to each base station;
inputting the object state information into the target pumped storage foundation engineering scene model to obtain an object motion prediction track;
and inputting the object motion prediction track and each base station coverage area into the target pumped storage infrastructure engineering scene model to obtain the object positioning information.
6. The method of claim 5, wherein in the case where each of the base stations in the target pumped storage infrastructure engineering scene model is a virtual base station; the step of inputting the object state information into the target pumped storage infrastructure engineering scene model to obtain the object positioning information comprises the following steps:
Combining the base station characteristic information corresponding to each base station to obtain a virtual base station group;
And inputting the object state information and the virtual base station group into the target pumped storage infrastructure engineering scene model to obtain the object positioning information.
7. The method of claim 2, wherein in the event that the pumped storage infrastructure scenario is a plurality of scenarios; the determining the object positioning information according to the object state information and the pumped storage infrastructure engineering scene comprises the following steps:
Selecting a target pumped storage foundation engineering scene model corresponding to each pumped storage foundation engineering scene from a pumped storage foundation engineering scene model set according to the object state information and each pumped storage foundation engineering scene;
respectively inputting the object state information to each target pumped storage foundation engineering scene model correspondingly to obtain initial object positioning data;
fitting each initial object positioning data to obtain the object positioning information.
8. A pumped storage capital construction project multi-scenario object positioning device, the device comprising:
the object information acquisition module is used for acquiring object identification information of a target object and acquiring base station characteristic information related to the target object;
The state information determining module is used for determining object state information of the target object according to the object identification information and the base station characteristic information;
The positioning information obtaining module is used for inputting the object state information into an object identification positioning model corresponding to the pumped storage foundation engineering multi-scene to obtain object positioning information; the object positioning information is used for generating object management data corresponding to the target object.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
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