Site site selection method, electronic device, storage medium and program product

Abstract

The present disclosure relates to a site selection method, an electronic device, a storage medium and a program product, the site selection method systematically considers a plurality of factors affecting site selection through a plurality of first indexes to be used for site selection and one or more second indexes included in each first index, obtaining a candidate site address through a first weight of each second index in one or more second indexes for the first index, and according to the standby index parameter of the second index corresponding to each candidate site address, the first weight of each second index for the first index and the importance degree parameters of the plurality of first indexes; the to-be-used target site address is effectively determined from the plurality of candidate site addresses, so that the automation degree of the site selection process can be effectively improved, the objectivity of site selection decision can be effectively improved, and the decision efficiency of site selection can be improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of site selection, and in particular, to a site selection method, electronic equipment, storage medium, and program product. Background Art

[0002] Normally, the site selection of rail transit lines relies on manual research and data mining to assist in site selection. However, manual research has defects such as subjectivity, lack of systematicness, and difficulty in coping with complex changes, which is not conducive to ensuring the objectivity of site selection results, nor is it conducive to improving the efficiency of site selection decisions. Summary of the invention

[0003] In order to achieve the above objectives, the present disclosure provides a site selection method, an electronic device, a storage medium and a program product.

[0004] A first aspect of the present disclosure provides a site selection method, the method comprising: Acquire a plurality of first indicators to be used for site selection, and one or more second indicators included in each first indicator; For each first indicator, obtaining a first weight of each second indicator in the one or more second indicators to the first indicator; For each candidate site address among the multiple candidate site addresses, obtaining a standby indicator parameter of each second indicator; Obtaining importance parameters of the plurality of first indicators; The target site address to be used is determined from the multiple candidate site addresses according to the standby indicator parameter of the second indicator corresponding to each candidate site address, the first weight of each second indicator to the first indicator and the importance parameters of the multiple first indicators.

[0005] Optionally, determining the standby target site address from the multiple candidate site addresses according to the standby indicator parameter of the second indicator corresponding to each candidate site address, the first weight of each second indicator to the first indicator, and the importance parameters of the multiple first indicators includes: Determine a target indicator parameter corresponding to the first indicator of each candidate site address according to a first weight of each second indicator to the first indicator and a standby indicator parameter of the second indicator corresponding to each candidate site address; The target site address to be used is determined from the multiple candidate site addresses according to the importance parameters of the multiple first indicators and the target indicator parameter corresponding to the first indicator of each candidate site address.

[0006] Optionally, the importance parameter includes a scale between any two first indicators among the plurality of first indicators; and determining the target site address to be used from the plurality of candidate site addresses according to the importance parameters of the plurality of first indicators and a target indicator parameter corresponding to the first indicator of each candidate site address includes: constructing a first judgment matrix according to the scale between any two first indicators among the plurality of first indicators; Determining target weights of the plurality of first indicators according to the first judgment matrix; For each candidate site address, determining a target comprehensive index parameter according to the target weight and a target index parameter corresponding to the first index of the candidate site address; The target site address is determined from the multiple candidate site addresses according to the target comprehensive index parameter of each candidate site address.

[0007] Optionally, the importance parameter includes second weights corresponding to a plurality of first indicators; and determining the target site address to be used from the plurality of candidate site addresses according to the importance parameters of the plurality of first indicators and the target indicator parameter corresponding to the first indicator of each candidate site address includes: For each candidate site address, determining a target comprehensive index parameter according to the second weight and a target index parameter corresponding to the first index of the candidate site address; The target site address is determined from the multiple candidate site addresses according to the target comprehensive index parameter of each candidate site address.

[0008] Optionally, determining the target site address from the multiple candidate site addresses according to the target comprehensive indicator parameter of each candidate site address includes: Determining the priority order of the plurality of candidate site addresses according to the target comprehensive index parameter of each candidate site address; The candidate site address with the highest priority is used as the target site address.

[0009] Optionally, for each first indicator, obtaining a first weight of each of the one or more second indicators to the first indicator includes: In the case where the first indicator includes a plurality of second indicators, obtaining standby scale data of the plurality of second indicators included in the first indicator, the standby scale data including a scale between any two second indicators among the plurality of second indicators; The first weight of each second indicator to the first indicator is determined according to the scaling data to be used.

[0010] Optionally, determining the first weight of each second indicator to the first indicator according to the to-be-used scaling data includes: constructing a second judgment matrix according to the scale between any two second indicators among the plurality of second indicators; The first weight of each second indicator to the first indicator is determined according to the second judgment matrix.

[0011] Optionally, the multiple first indicators include multiple safety indicators, economic indicators, environmental indicators and convenience indicators.

[0012] Optionally, the one or more second indicators included in the safety indicators include at least one of a geological condition indicator, a building safety indicator, and an emergency facility indicator; The one or more second indicators included in the economic indicators include at least one of a cost indicator required for site establishment and an economic benefit indicator; The one or more second indicators included in the environmental indicators include at least one of a noise indicator, a greening indicator, a surrounding industrial layout indicator, a construction risk indicator, and an environmental impact strength indicator; The one or more second indicators included in the convenience index include at least one of an index for alleviating passenger flow in the area and an index for improving travel time efficiency.

[0013] A second aspect of the present disclosure provides an electronic device, the electronic device comprising: a processor; a memory for storing instructions executable by the processor; The processor is configured to execute the steps of the site selection method described in any one of the first aspects of the present disclosure.

[0014] A third aspect of the present disclosure provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the site selection method described in any one of the first aspects of the present disclosure.

[0015] A fourth aspect of the present disclosure provides a computer program product, comprising a computer program, which, when executed by a processor, implements the steps of the site selection method described in any one of the first aspects of the present disclosure.

[0016] The above technical scheme systematically considers multiple factors affecting site selection through multiple first indicators to be used for site selection, and one or more second indicators included in each first indicator, and through the first weight of each second indicator in one or more second indicators to the first indicator, and according to the standby indicator parameters of the second indicator corresponding to each candidate site address, the first weight of each second indicator to the first indicator and the importance parameters of the multiple first indicators, effectively determines the standby target site address from the multiple candidate site addresses, which can effectively improve the degree of automation of the site selection process, and can also effectively improve the objectivity of the site selection decision, thereby helping to improve the decision-making efficiency of site selection.

[0017] Other features and advantages of the present disclosure will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings are used to provide a further understanding of the present disclosure and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the present disclosure but do not constitute a limitation of the present disclosure. In the accompanying drawings: Figure 1 It is a flow diagram of a site selection method according to an exemplary embodiment of the present disclosure; Figure 2 According to this disclosure Figure 1 A flow chart of a site selection method shown in the illustrated embodiment; Figure 3 According to this disclosure Figure 1 A flow chart of another site selection method shown in the illustrated embodiment; Figure 4 is a block diagram of a device for site selection according to an exemplary embodiment; Figure 5 It is a block diagram of another device for site selection according to an exemplary embodiment. DETAILED DESCRIPTION

[0019] The specific implementation of the present disclosure is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described herein is only used to illustrate and explain the present disclosure, and is not used to limit the present disclosure.

[0020] Figure 1 is a flow chart of a site selection method according to an exemplary embodiment of the present disclosure. Figure 1 As shown, the site selection method may include the following steps: In step 101, a plurality of first indicators to be used for site selection and one or more second indicators included in each first indicator are obtained.

[0021] Among them, the multiple first indicators include multiple safety indicators, economic indicators, environmental indicators and convenience indicators. The one or more second indicators included in the safety indicators include at least one of geological condition indicators, building safety indicators, and emergency facility indicators; the one or more second indicators included in the economic indicators include at least one of the cost indicators required for site establishment and economic benefit indicators; the one or more second indicators included in the environmental indicators include at least one of noise indicators, greening indicators, surrounding industrial layout indicators, construction risk indicators, and environmental impact indicators; the one or more second indicators included in the convenience indicators include at least one of the passenger flow index of the relief area and the improvement index of travel time efficiency.

[0022] A possible implementation method of this step may be: receiving multiple first indicators for site selection to be used and input by the user through a first preset interface, and one or more second indicators included in each first indicator.

[0023] It should be noted that the geological condition index refers to the geological characteristics of the area where the station is located, which is determined by the soil type, groundwater level and foundation bearing capacity of the station. The building safety index refers to whether the ground of nearby buildings will be subsided or vibrated during the construction of the station and the operation of rail transit vehicles, affecting the safety and stability of buildings near the station. The emergency facility index refers to the emergency facilities configured near the station, including emergency exits, vents, fire protection facilities and other configurations. The cost index required for station establishment refers to the total cost required to build a station at the station site, including various expenses such as land acquisition, design, construction, and equipment installation. The economic benefit index refers to the economic benefits that may be brought about after the station is built at the station site, including the promotion of surrounding commercial development, real estate appreciation, and increased employment opportunities. The noise index refers to the noise level generated during the construction of the station and the operation of rail transit vehicles and its impact on the surrounding environment. The greening index refers to the greening situation near the station site, including green area, vegetation coverage, greening design, etc. The surrounding industrial layout index refers to the distribution of commercial, office, residential and other functional areas near the station site and their impact and demand on the station. The construction risk index refers to the risk posed to construction by geological conditions and underground pipelines near the station site. The environmental impact index refers to the impact of building stations and operating rail transit vehicles on the environment at the station site. The regional passenger flow relief index refers to the ability of the station site to divert and relieve passenger flow in the surrounding area. The travel time efficiency improvement index refers to the degree to which the station site improves the travel time efficiency of passengers near the station site.

[0024] In step 102, for each first indicator, a first weight of each second indicator in the one or more second indicators included in the first indicator is obtained.

[0025] In this step, the specific implementation method can be as follows Figure 2 As shown, Figure 2 According to this disclosure Figure 1 The embodiment shown is a flow chart of a site selection method, which may include the following steps: In step 1021, when the first indicator includes multiple second indicators, standby scaling data of the multiple second indicators included in the first indicator is obtained, and the standby scaling data includes the scaling between any two second indicators among the multiple second indicators.

[0026] A possible implementation of this step may be: obtaining a standard evaluation of each second indicator input by the user through a second preset interface (for example, the standard evaluation may be very good, good, average, poor, and very poor, etc.), and obtaining a preset evaluation correspondence relationship, wherein the preset evaluation correspondence relationship is used to characterize the correspondence between the standard evaluation and the evaluation parameter, and converting the standard evaluation of each second indicator into an evaluation parameter through the preset evaluation correspondence relationship, wherein the evaluation parameter is a quantitative value of the standard evaluation, and the ratio of the evaluation parameters of any two second indicators among the multiple second indicators is used as a scale between any two second indicators among the multiple second indicators.

[0027] Another possible implementation of this step may be: obtaining the evaluation parameters of each second indicator input by the user through a third preset interface, and using the ratio of the evaluation parameters of any two second indicators among the multiple second indicators as the scale between any two second indicators among the multiple second indicators.

[0028] In step 1022, the first weight of each second indicator to the first indicator is determined according to the to-be-used scaling data.

[0029] A possible implementation method of this step may be: constructing a second judgment matrix according to the scale between any two second indicators among the multiple second indicators; and determining the first weight of each second indicator to the first indicator according to the second judgment matrix.

[0030] It should be noted that the scale between any two second indicators among the plurality of second indicators is used as an element of the first preset matrix to obtain the second judgment matrix, determine the eigenvector group and the maximum eigenvalue of the second judgment matrix, determine the first target consistency indicator according to the maximum eigenvalue of the second judgment matrix, determine the first target random consistency indicator from the preset random consistency indicator correspondence relationship according to the first target dimension of the second judgment matrix, the preset random consistency indicator correspondence relationship can be used to characterize the correspondence between the dimension of the matrix and the random consistency indicator, and use the ratio of the first target consistency indicator to the first target random consistency indicator as the first target consistency ratio. When the first target consistency ratio is less than a preset consistency threshold (for example, the preset consistency threshold can be 0.1, 0.09 or 0.095, etc.), use the eigenvector in the eigenvector group of the normalized second judgment matrix as the first weight of the second indicator to the first indicator to obtain the first weight of each second indicator to the first indicator. When the first target consistency ratio is greater than or equal to the preset consistency threshold, adjust the second judgment matrix, calculate the eigenvector group and the maximum eigenvalue of the adjusted second judgment matrix, and perform consistency detection.

[0031] The eigenvector of the judgment matrix can be calculated by the preset formula (1) and the preset formula (2) shown below to obtain the eigenvector group of the judgment matrix: (1) (2) in, represents the i-th eigenvector of the judgment matrix, represents the element in the i-th row and j-th column of the judgment matrix, n represents the dimension of the judgment matrix, Represents the normalized i-th eigenvector of the judgment matrix.

[0032] The maximum eigenvalue of the second judgment matrix can be calculated by the preset formula (3) shown below: (3) in, represents the maximum eigenvalue of the judgment matrix, represents the judgment matrix, The matrix corresponding to the eigenvector of the judgment matrix is ​​represented by It represents the product matrix of the judgment matrix and the matrix corresponding to the eigenvector of the judgment matrix, and n represents the dimension of the judgment matrix.

[0033] The consistency index can be calculated by the formula shown below: (4) in, represents the consistency index of the judgment matrix, represents the maximum eigenvalue of the judgment matrix, and n represents the dimension of the judgment matrix.

[0034] For example, the second index may include a geological condition index, a building safety index and an emergency facility index, and the scale between any two second indicators among the geological condition index, the building safety index and the emergency facility index is as shown in Table 1 below:

[0035] Table 1 The scale between any two second indicators among the geological condition indicators, building safety indicators and emergency facility indicators in Table 1 is used as an element of the preset matrix to obtain the second judgment matrix as shown below:

[0036] Wherein, B represents the second judgment matrix.

[0037] In step 103, for each candidate site address among the plurality of candidate site addresses, a standby indicator parameter of each second indicator is obtained.

[0038] A possible implementation of this step may be: obtaining the standby indicator parameter of each second indicator input by the user through a fourth preset interface.

[0039] In step 104, importance parameters of the plurality of first indicators are obtained.

[0040] In one implementation, the importance parameter may include a scale between any two first indicators among the plurality of first indicators; in another implementation, the importance parameter may include second weights corresponding to the plurality of first indicators.

[0041] In this step, the importance parameters of multiple first indicators input by the user can be obtained through the fifth preset interface.

[0042] In step 105, a standby target site address is determined from the multiple candidate site addresses according to the standby indicator parameter of the second indicator corresponding to each candidate site address, the first weight of each second indicator to the first indicator, and the importance parameters of the multiple first indicators.

[0043] It should be noted that the target indicator parameter of the first indicator corresponding to each candidate site address can be determined based on the standby indicator parameter of the second indicator corresponding to each candidate site address and the first weight of each second indicator to the first indicator, the second weight of the first indicator to each candidate site address can be determined through multiple importance parameters of the first indicators, the second weight and the target indicator parameter are weightedly summed to obtain the target comprehensive indicator parameter of each candidate site address, and multiple candidate site addresses are sorted according to the target comprehensive indicator parameter of each candidate site address, and the candidate site address corresponding to the maximum value of the target comprehensive indicator parameter among the multiple target comprehensive indicator parameters is used as the standby target site address.

[0044] The above technical scheme systematically considers multiple factors affecting site selection through multiple first indicators to be used for site selection, and one or more second indicators included in each first indicator, and through the first weight of each second indicator in one or more second indicators to the first indicator, and according to the standby indicator parameters of the second indicator corresponding to each candidate site address, the first weight of each second indicator to the first indicator and the importance parameters of the multiple first indicators, effectively determines the standby target site address from the multiple candidate site addresses, which can effectively improve the degree of automation of the site selection process, and can also effectively improve the objectivity of the site selection decision, thereby helping to improve the decision-making efficiency of site selection.

[0045] Figure 3 According to this disclosure Figure 1 The embodiment shown is a flow chart of another site selection method, such as Figure 3 As shown above Figure 1 Possible implementations of step 105 shown may include the following steps: In step 1051, a target indicator parameter corresponding to the first indicator of each candidate site address is determined according to a first weight of each second indicator to the first indicator and a standby indicator parameter of the second indicator corresponding to each candidate site address.

[0046] It should be noted that the standby product of the first weight of each second indicator to the first indicator and the standby indicator parameter of the second indicator corresponding to each candidate site address is calculated. When it is determined that the first indicator includes multiple second indicators, the multiple standby products are summed, and the result of the sum of the multiple standby products is used as the target indicator parameter corresponding to the first indicator of each candidate site address. When it is determined that the first indicator includes one second indicator, the standby product is used as the target indicator parameter corresponding to the first indicator of each candidate site address.

[0047] By way of example, the first indicator may be a safety indicator. When it is determined that the safety indicator includes a geological condition indicator, a building safety indicator, and an emergency facility indicator, the first product of the first weight of the geological condition indicator to the safety indicator and the standby indicator parameter of the geological condition indicator corresponding to each candidate site address is calculated; the second product of the first weight of the building safety indicator to the safety indicator and the standby indicator parameter of the building safety indicator corresponding to each candidate site address is calculated; the third product of the first weight of the building safety indicator to the safety indicator and the standby indicator parameter of the building safety indicator corresponding to each candidate site address is calculated; and the sum of the first product, the second product, and the third product is used as the target indicator parameter corresponding to the first indicator of each candidate site address.

[0048] In step 1052, a target site address to be used is determined from the multiple candidate site addresses according to the importance parameters of the multiple first indicators and the target indicator parameter corresponding to the first indicator of each candidate site address.

[0049] A possible implementation of this step is: construct a first judgment matrix based on the scale between any two first indicators among the multiple first indicators; determine the target weights of the multiple first indicators based on the first judgment matrix; for each candidate site address, determine the target comprehensive indicator parameter based on the target weight and the target indicator parameter corresponding to the first indicator of the candidate site address; determine the target site address from the multiple candidate site addresses based on the target comprehensive indicator parameter of each candidate site address.

[0050] The importance parameter includes a scale between any two first indicators among the plurality of first indicators.

[0051] In this step, the specific implementation method of determining the target weights of multiple first indicators based on the first judgment matrix may include: calculating the eigenvector group of the first judgment matrix by the above-mentioned preset formula (1) and the preset formula (2), and normalizing the eigenvector group of the first judgment matrix, calculating the maximum eigenvalue of the first judgment matrix by the above-mentioned preset formula (3), calculating the second target consistency indicator by the above-mentioned preset formula (4), determining the second target random consistency indicator from the preset random consistency indicator correspondence relationship according to the second target dimension of the first judgment matrix, the preset random consistency indicator correspondence relationship can be used to characterize the correspondence between the dimension of the matrix and the random consistency indicator, taking the ratio of the second target consistency indicator to the second target random consistency indicator as the second target consistency ratio, and when the second target consistency ratio is less than the preset consistency threshold, taking the eigenvector group of the first judgment matrix as the target weights of multiple first indicators.

[0052] For example, the first indicator includes safety indicators, economic indicators and environmental indicators, and the first judgment matrix can be as follows:

[0053] By default, formula (1) Available, =2.47, =1.00, =0.41.

[0054] By default, formula (2) Available, =0.64, =0.25, =0.11.

[0055] By default, formula (3) Available, =3.015.

[0056] By default, formula (4) Available, =0.007.

[0057] The corresponding relationship of random consistency indicators is shown in Table 2 below:

[0058] According to dimension 3 of the first judgment matrix, it can be determined that the random consistency index of the second target is 0.58, the ratio of the second target consistency index and the second target random consistency index can be 0.012, then the second target consistency ratio is 0.012, the preset consistency threshold can be 0.1, the second target consistency ratio 0.012 is less than the preset consistency threshold 0.1, the target weight of the safety indicator is 0.64, the target weight of the economic indicator is 0.25, and the target weight of the environmental indicator is 0.11.

[0059] Optionally, the specific implementation of determining the target weights of multiple first indicators based on the first judgment matrix may also include: when the second target consistency ratio is greater than or equal to a preset consistency threshold, adjusting the first judgment matrix, calculating the eigenvector group and the maximum eigenvalue of the adjusted first judgment matrix, and performing consistency detection to determine the target weights of multiple first indicators.

[0060] It should be noted that the scale between any two first indicators among the multiple first indicators is used as an element of the second preset matrix to obtain the first judgment matrix. When the target weights of the multiple first indicators are determined, for each candidate site address, the target weight and the target indicator parameter corresponding to the first indicator of the candidate site address are weighted and summed, and the sum of the weighted sum is used as the target comprehensive indicator parameter, and the target site address is determined from the multiple candidate site addresses according to the target comprehensive indicator parameter of each candidate site address.

[0061] Another possible implementation method of this step is: for each candidate site address, determine the target comprehensive index parameter according to the second weight and the target index parameter corresponding to the first index of the candidate site address; determine the target site address from the multiple candidate site addresses according to the target comprehensive index parameter of each candidate site address.

[0062] The importance parameter includes the second weights corresponding to the plurality of first indicators. The target comprehensive indicator parameter can be understood as a comprehensive score of each candidate site address obtained according to the parameters of the first indicator and the second indicator.

[0063] It should be noted that, for each candidate site address, the second weight is weighted and summed with the target indicator parameter corresponding to the first indicator of the candidate site address, and the result of the weighted sum is used as the target comprehensive indicator parameter. The candidate site address with the largest target comprehensive indicator parameter can be used as the target site address according to the size of the target comprehensive indicator parameter of each candidate site address.

[0064] Optionally, the specific implementation method of determining the target site address from the multiple candidate site addresses based on the target comprehensive index parameters of each candidate site address may include: determining the priority order of the multiple candidate site addresses based on the target comprehensive index parameters of each candidate site address; and taking the candidate site address with the highest priority as the target site address.

[0065] It should be noted that the target comprehensive index parameter of each candidate site address can be understood as the comprehensive score of each candidate site address calculated based on the parameters of the first index and the second index of each candidate site address. The comprehensive score of each candidate site address is sorted in order from large to small, and the candidate site address with the largest comprehensive score is used as the target site address.

[0066] The above technical scheme systematically considers multiple factors affecting site selection through multiple first indicators to be used for site selection, and one or more second indicators included in each first indicator, and effectively determines the standby target site address from the multiple candidate site addresses through the first weight of each second indicator in one or more second indicators to the first indicator, and according to the standby indicator parameters of the second indicator corresponding to each candidate site address, the first weight of each second indicator to the first indicator and the importance parameters of the multiple first indicators. It can effectively reduce manual participation in the site selection process, improve the objectivity of site selection decisions, and help improve the decision-making efficiency of site selection.

[0067] The present disclosure also provides a computer-readable storage medium on which computer program instructions are stored. When the program instructions are executed by a processor, the above Figure 1-Figure 3 Steps in any site selection method.

[0068] Figure 4 4 is a block diagram of a device for site selection according to an exemplary embodiment. For example, the device 400 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, etc.

[0069] Reference Figure 4 , the device 400 may include one or more of the following components: a first processing component 402 , a first memory 404 , a first power component 406 , a multimedia component 408 , an audio component 410 , a first input / output interface 412 , a sensor component 414 , and a communication component 416 .

[0070] The first processing component 402 generally controls the overall operation of the device 400, such as operations associated with display, phone calls, data communications, camera operations, and recording operations. The first processing component 402 may include one or more processors 420 to execute instructions to complete all or part of the steps of the above-described method. In addition, the first processing component 402 may include one or more modules to facilitate interaction between the first processing component 402 and other components. For example, the first processing component 402 may include a multimedia module to facilitate interaction between the multimedia component 408 and the first processing component 402.

[0071] The first memory 404 is configured to store various types of data to support operations on the device 400. Examples of such data include instructions for any application or method operating on the device 400, contact data, phone book data, messages, pictures, videos, etc. The first memory 404 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0072] The first power source component 406 provides power to various components of the device 400. The first power source component 406 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to the device 400.

[0073] The multimedia component 408 includes a screen that provides an output interface between the device 400 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundaries of the touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 408 includes a front camera and / or a rear camera. When the device 400 is in an operating mode, such as a shooting mode or a video mode, the front camera and / or the rear camera may receive external multimedia data. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

[0074] The audio component 410 is configured to output and / or input audio signals. For example, the audio component 410 includes a microphone (MIC), and when the device 400 is in an operation mode, such as a call mode, a recording mode, and a speech recognition mode, the microphone is configured to receive an external audio signal. The received audio signal can be further stored in the first memory 404 or sent via the communication component 416. In some embodiments, the audio component 410 also includes a speaker for outputting audio signals.

[0075] The first input / output interface 412 provides an interface between the first processing component 402 and a peripheral interface module, which may be a keyboard, a click wheel, buttons, etc. These buttons may include but are not limited to: a home button, a volume button, a start button, and a lock button.

[0076] The sensor assembly 414 includes one or more sensors for providing various aspects of the status assessment of the device 400. For example, the sensor assembly 414 can detect the open / closed state of the device 400, the relative positioning of components, such as the display and keypad of the device 400, and the sensor assembly 414 can also detect the position change of the device 400 or a component of the device 400, the presence or absence of user contact with the device 400, the orientation or acceleration / deceleration of the device 400, and the temperature change of the device 400. The sensor assembly 414 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 414 may also include an optical sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 414 may also include an accelerometer, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

[0077] The communication component 416 is configured to facilitate wired or wireless communication between the device 400 and other devices. The device 400 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 416 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 416 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.

[0078] In an exemplary embodiment, the apparatus 400 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components to perform the steps of the above site selection method.

[0079] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a first memory 404 including instructions, and the instructions can be executed by a processor 420 of the device 400 to perform the above method. For example, the non-transitory computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0080] In another exemplary embodiment, a computer program product is also provided. The computer program product includes a computer program executable by a programmable device. The computer program has a code portion for executing the above-mentioned site selection method when executed by the programmable device.

[0081] Figure 5 5 is a block diagram of another device for site selection according to an exemplary embodiment. For example, the device 500 may be provided as a server. Figure 5 , the apparatus 500 includes a second processing component 522, which further includes one or more processors, and a memory resource represented by a second memory 532 for storing instructions executable by the second processing component 522, such as an application. The application stored in the second memory 532 may include one or more modules each corresponding to a set of instructions. In addition, the second processing component 522 is configured to execute instructions to perform the above Figure 1-Figure 3 Steps in any site selection method.

[0082] The device 500 may further include a second power supply component 526 configured to perform power management of the device 500, a wired or wireless network interface 550 configured to connect the device 500 to a network, and a second input / output interface 558. The device 500 may operate based on an operating system stored in the second memory 532, such as Windows Server 2003. TM , MacOS X TM , Unix TM , Linux TM , FreeBSD TM or similar.

[0083] The preferred embodiments of the present disclosure are described in detail above in conjunction with the accompanying drawings; however, the present disclosure is not limited to the specific details in the above embodiments. Within the technical concept of the present disclosure, a variety of simple modifications can be made to the technical solution of the present disclosure, and these simple modifications all fall within the protection scope of the present disclosure.

[0084] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present disclosure will not further describe various possible combinations.

[0085] In addition, various embodiments of the present disclosure may be arbitrarily combined, and as long as they do not violate the concept of the present disclosure, they should also be regarded as the contents disclosed by the present disclosure.

Claims

1. A site selection method, characterized in that: The method comprises: Acquire a plurality of first indicators to be used for site selection, and one or more second indicators included in each first indicator; For each first indicator, obtaining a first weight of each second indicator in the one or more second indicators to the first indicator; For each candidate site address among the multiple candidate site addresses, obtaining a standby indicator parameter of each second indicator; Obtaining importance parameters of the plurality of first indicators; The target site address to be used is determined from the multiple candidate site addresses according to the standby indicator parameter of the second indicator corresponding to each candidate site address, the first weight of each second indicator to the first indicator and the importance parameters of the multiple first indicators.

2. The method according to claim 1, characterized in that The step of determining the target site address to be used from the multiple candidate site addresses according to the standby indicator parameter of the second indicator corresponding to each candidate site address, the first weight of each second indicator to the first indicator, and the importance parameters of the multiple first indicators includes: Determine a target indicator parameter corresponding to the first indicator of each candidate site address according to a first weight of each second indicator to the first indicator and a standby indicator parameter of the second indicator corresponding to each candidate site address; The target site address to be used is determined from the multiple candidate site addresses according to the importance parameters of the multiple first indicators and the target indicator parameter corresponding to the first indicator of each candidate site address.

3. The method according to claim 2, characterized in that The importance parameter includes a scale between any two first indicators among the plurality of first indicators; determining the target site address to be used from the plurality of candidate site addresses according to the importance parameters of the plurality of first indicators and the target indicator parameter corresponding to the first indicator of each candidate site address includes: constructing a first judgment matrix according to the scale between any two first indicators among the plurality of first indicators; Determining target weights of the plurality of first indicators according to the first judgment matrix; For each candidate site address, determining a target comprehensive index parameter according to the target weight and a target index parameter corresponding to the first index of the candidate site address; The target site address is determined from the multiple candidate site addresses according to the target comprehensive index parameter of each candidate site address.

4. The method according to claim 2, characterized in that: The importance parameter includes a second weight corresponding to a plurality of first indicators; and determining a target site address to be used from the plurality of candidate site addresses according to the importance parameters of the plurality of first indicators and a target indicator parameter corresponding to the first indicator of each candidate site address includes: For each candidate site address, determining a target comprehensive index parameter according to the second weight and a target index parameter corresponding to the first index of the candidate site address; The target site address is determined from the multiple candidate site addresses according to the target comprehensive index parameter of each candidate site address.

5. The method according to claim 3 or 4, characterized in that: The step of determining the target site address from the plurality of candidate site addresses according to the target comprehensive index parameter of each candidate site address includes: Determining the priority order of the plurality of candidate site addresses according to the target comprehensive index parameter of each candidate site address; The candidate site address with the highest priority is used as the target site address.

6. The method according to claim 1, characterized in that The step of obtaining, for each first indicator, a first weight of each of the one or more second indicators to the first indicator includes: In the case where the first indicator includes a plurality of second indicators, obtaining standby scale data of the plurality of second indicators included in the first indicator, the standby scale data including a scale between any two second indicators among the plurality of second indicators; The first weight of each second indicator to the first indicator is determined according to the scaling data to be used.

7. The method according to claim 6, characterized in that The determining the first weight of each second indicator to the first indicator according to the to-be-used scale data comprises: constructing a second judgment matrix according to the scale between any two second indicators among the plurality of second indicators; The first weight of each second indicator to the first indicator is determined according to the second judgment matrix.

8. The method according to claim 1, characterized in that The multiple first indicators include multiple ones of safety indicators, economic indicators, environmental indicators and convenience indicators.

9. The method according to claim 8, characterized in that The one or more second indicators included in the safety indicators include at least one of a geological condition indicator, a building safety indicator, and an emergency facility indicator; The one or more second indicators included in the economic indicators include at least one of a cost indicator required for site establishment and an economic benefit indicator; The one or more second indicators included in the environmental indicators include at least one of a noise indicator, a greening indicator, a surrounding industrial layout indicator, a construction risk indicator, and an environmental impact strength indicator; The one or more second indicators included in the convenience index include at least one of an index for alleviating passenger flow in the area and an index for improving travel time efficiency.

10. An electronic device, characterized in that: The electronic device comprises: a processor; a memory for storing instructions executable by the processor; The processor is configured to execute the steps of the site selection method according to any one of claims 1 to 9.

11. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the site selection method described in any one of claims 1 to 9 are implemented.

12. A computer program product, characterized in that The invention comprises a computer program, which, when executed by a processor, implements the steps of the site selection method according to any one of claims 1 to 9.

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