CN112016007A - Internet of Things-based urban running recommendation system, method, device and equipment - Google Patents

Abstract

The invention discloses a city running recommendation system, method, device and equipment based on the Internet of Things. The system includes: a plurality of smart poles, a central server and a user terminal arranged in the city; the smart pole includes a plurality of environment The collection sensor is used to collect nearby environmental parameters through each environmental collection sensor, and send the environmental parameters to the central server; the central server is used to collect the environmental parameters collected by the environmental collection sensors of each smart pole, Estimate the running suitability of each target road in multiple time periods, and send the running suitability of the multiple time periods to the user terminal; the user terminal is used to display the corresponding target road on the display interface Running suitability over multiple time periods. The present invention can intelligently recommend running time and road to users, thereby improving the safety and effect of running exercise.

Description

Internet of Things-based urban running recommendation system, method, device and equipment

technical field

The present invention relates to the field of smart cities, in particular to a system, method, device and equipment for city running recommendation based on the Internet of Things.

Background technique

Smart city aims to sense, analyze and integrate various key information of the core system of urban operation by making full use of information and communication technology, so as to meet various needs including people's livelihood, environmental protection, public safety, urban services, and industrial and commercial activities. Intelligent response to create a better urban life for human beings.

In the concept of smart city, citizens' health is a very important part, which is related to people's quality of life and the display of spiritual outlook in the city. Among them, running is one of the sports that people love and participate in widely.

At present, more and more people are involved in running, some people are used to running in the morning, some people are used to running at night, and everyone's running routes are not the same. However, because each city will have a large number of Cars emit exhaust gas or factories emit exhaust gas, so running at the wrong time or in the wrong place may not only not achieve the effect of exercise, but may even endanger people's health.

SUMMARY OF THE INVENTION

In view of this, the purpose of the present invention is to provide an urban running recommendation system, method, device and device based on the Internet of Things, which can recommend suitable running routes and running times for people.

An embodiment of the present invention provides a city running recommendation system based on the Internet of Things, including:

A plurality of IoT-based smart poles, central servers and user terminals set up in the city; the central server and each smart pole and user terminals are connected through the Internet of Things or the network; wherein,

The smart pole includes a plurality of environment acquisition sensors, which are used to collect nearby environmental parameters through each environmental acquisition sensor, and send the environmental parameters to the central server;

The central server is used to estimate the running suitability of each target road in multiple time periods according to the environmental parameters collected by the environmental acquisition sensors of each smart pole, and calculate the running suitability of the multiple time periods. The situation is sent to the user terminal;

The user terminal is configured to display the running suitability of the corresponding target road in multiple time periods on the display interface.

Preferably, the smart pole includes a pole body and a communication gateway disposed on the pole body, and the environment acquisition sensor is disposed on the pole body and connected to the communication gateway;

The environment acquisition sensor includes a temperature and humidity sensor, at least one harmful gas monitoring sensor, a wind speed sensor, and a rain sensor;

The environment collection sensor collects current environment parameters every predetermined time, and sends the environment parameters to the central server through the communication gateway.

Preferably, the central server has functions for:

Obtain a smart pole corresponding to at least one target road;

According to the environmental parameters transmitted by the corresponding smart poles, comprehensively evaluate the running suitability of each target road;

Each target road is marked according to the running suitability, and the marking information is sent to the user terminal, so that the user terminal can display the target road with the corresponding mark.

Preferably, the central server is also used for:

Obtain environmental parameters collected at different time points;

Estimate the suitability of running in multiple time periods according to the change trend of the environmental parameters;

Sending running suitability conditions for multiple time periods to the client.

Preferably, all user terminals can access the blockchain network as a blockchain node; then the user terminals are specifically used for:

The running data of the user is acquired, and computing resources for executing the generation of the new block are allocated to the user terminal corresponding to the user according to the running data; wherein the computing resources are the computing time or the number of times of computing for attempting to generate the new block.

Preferably, it is satisfied that:

z=a*y;

y ² =b*x;

Among them, z is the computing resource, y is the calculation factor y, x is the running data x, a is the proportional coefficient, and b is the recommended daily target number of runs.

Preferably, the proportionality coefficient a is obtained by multiplying an empirical constant and a weight, and the weight is proportional to the running suitability of the target road on which the user runs.

Embodiments of the present invention also provide a method for recommending urban running based on the Internet of Things, including:

Obtain environmental parameters collected by multiple smart poles set on urban roads through environmental acquisition sensors;

Estimate the running suitability of each target road in multiple time periods according to the environmental parameters;

The running suitability of each target road in multiple time periods is sent to the user terminal, so as to recommend the target road and the corresponding time period for the user to run.

The embodiment of the present invention also provides a city running recommendation device based on the Internet of Things, including:

an environmental parameter acquisition unit, used for acquiring environmental parameters collected by a plurality of smart poles arranged on urban roads through environmental acquisition sensors;

an estimation unit for estimating the running suitability of each target road in multiple time periods according to the environmental parameters;

The sending unit is configured to send the running suitability of each target road in multiple time periods to the user terminal, so as to recommend the target road and the corresponding time period for the user to run.

An embodiment of the present invention further provides a device for recommending urban running based on the Internet of Things, including a memory and a processor, wherein the memory is electrically connected to the processor, and characterized in that, a computer program is stored in the memory, and the memory is A computer program can be executed by the processor to implement the Internet of Things-based urban running recommendation method as described above.

The urban running recommendation system based on the Internet of Things provided by this embodiment adopts the smart pole based on the Internet of Things to collect the environmental parameters of each road in the city, and then the central server judges the running suitability of each road according to the environmental parameters and determines the running suitability of each road. Send it to the user terminal, so that the user can select the time period and the road for running according to the running suitability of each road displayed by the user terminal in multiple time periods, so as to avoid the misunderstanding caused by exercising at an inappropriate time or in an inappropriate place. Problems that cause damage to the body.

Description of drawings

FIG. 1 is a schematic flowchart of a city running recommendation system based on the Internet of Things provided by the first embodiment of the present invention.

FIG. 2 is a schematic flowchart of a method for recommending urban running based on the Internet of Things provided by the second embodiment of the present invention.

FIG. 3 is a schematic structural diagram of a city running recommendation device based on the Internet of Things provided by a third embodiment of the present invention.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

In order to better understand the technical solutions of the present invention, the embodiments of the present invention are described in detail below with reference to the accompanying drawings.

It should be understood that the described embodiments are only some, but not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

Referring to FIG. 1, the first embodiment of the present invention provides an Internet of Things-based urban running recommendation system, including:

A plurality of IoT-based smart poles 100, a central server 200 and a user terminal 300 are arranged in the city; the central server 200 is connected to each smart pole 100 and the user terminal 300 through the Internet of Things or a network; wherein,

The smart pole 100 includes a plurality of environment collection sensors, which are used to collect nearby environment parameters through each environment collection sensor, and send the environment parameters to the central server 200 .

In this embodiment, the smart pole 100 can be arranged on both sides of each road in the city, and it can integrate various functions such as street lighting, charging pile charging, and urban environment detection at the same time, and is an important infrastructure of the smart city. . Wherein, in general, the smart pole 100 includes a pole body, a communication gateway disposed on the pole body, and a plurality of environment collection sensors, the environment collection sensors are connected with the communication gateway, and the collected environment parameters are sent to The communication gateway is sent to the central server 200 by the communication gateway through the Internet of Things, for example, it can be sent to the central server 200 by means of WiFi, 3/4/5G.

In this embodiment, the environment collection sensor may include a temperature and humidity sensor, at least one harmful gas monitoring sensor (for example, a monitoring sensor for carbon dioxide, sulfide and other gases), a wind speed sensor, and a rainfall sensor. The current environmental parameters are collected at a predetermined time, and the environmental parameters are sent to the central server 200 through the communication gateway.

The central server 200 is configured to estimate the running suitability of each target road in multiple time periods according to the environmental parameters collected by the environmental acquisition sensors of each smart pole, and determine the running suitability of the multiple time periods. The level information is sent to the user terminal.

In this embodiment, after receiving the environmental parameters transmitted by each smart pole 100, the central server 200 firstly groups the environmental parameters according to the location or road section of each smart pole, and then according to the environmental parameters in each group The running suitability of the corresponding target road is estimated to determine whether the target road is suitable for running.

For example, the central server 200 will judge whether it is suitable for running according to the following indicators: whether the temperature and humidity are suitable, whether the concentration of harmful gas exceeds the standard, whether it is raining, whether the wind speed is suitable, and so on. After calculating the running suitability according to these indicators, the central server 200 sends it to the user terminal 300 .

Further, the central server 200 can also obtain environmental parameters collected at different time points, and then estimate the suitability of running in multiple time periods according to the changing trends of the environmental parameters, and compare the running conditions in multiple time periods. The suitability situation is sent to the client 300 .

For example, assuming that the central server 200 obtains a set of harmful gas concentration values that change with time, it can perform fitting according to these data to obtain the current change curve of harmful gas concentration relative to time, and then predict the future according to the change curve. Harmful gas concentration values in multiple time periods, so as to recommend a time period suitable for running to users. Other environmental parameters can also be obtained in the same way.

The user terminal 300 is configured to display the running suitability of the corresponding target road in multiple time periods on the display interface.

In this embodiment, if the user starts the corresponding software or APP through the user terminal 300, he can check the running suitability of each target road through the display interface of the APP, for example, the target road suitable for running is marked with green, Inappropriate target roads are marked in red, etc.

Obviously, according to different running suitability conditions, gradually changing colors can be set to distinguish them. For example, the closer the color is to green, the better the running suitability. Correspondingly, the closer the color is to red or darker, the better the running suitability. worse.

In addition, users can choose to view running suitability for a future time period. After the user selects the time period, the user terminal 300 can mark the conditions of each target road according to the estimated running suitability conditions of multiple time periods, so that the user can find a suitable time to run on a suitable road. Exercise in order to avoid the problem of physical damage caused by exercising at an inappropriate time or in an inappropriate location.

To sum up, the urban running recommendation system based on the Internet of Things provided in this embodiment adopts the smart pole 100 based on the Internet of Things to collect the environmental parameters of each road in the city, and then the central server 200 judges each road according to the environmental parameters. The running suitability of the road is sent to the user terminal 300, so that the user can select the running time period and the road according to the running suitability conditions of each road displayed by the user terminal 300 in multiple time periods to avoid running at inappropriate times. Or the problem of damage to the body caused by exercising in an inappropriate location.

In order to facilitate the understanding of the present invention, some preferred embodiments of the present invention are further described below.

The above embodiments allow users to run at a suitable time and at a suitable location. However, simple running is too monotonous, and people may not be able to persist for a long time due to loss of enthusiasm. To this end, a preferred embodiment of the present invention proposes a method of generating blocks based on running to increase the fun in the running process, so that the user can persist in running with more enthusiasm and motivation.

Specifically, in this embodiment, all user terminals are accessed as a node of the blockchain network. When the user is running, the user terminal 300 may establish a wireless connection with a motion detection device (such as a sports bracelet) worn on the user's body, and obtain the user's running data based on the running detection device, and then according to the user's running data for The user terminal 300 corresponding to the user allocates computing resources for performing the generation of new blocks; wherein, the computing resources are the computing time or the number of computations for attempting to generate new blocks.

Specifically, for a blockchain network, a block is a storage unit, and each block is linked by random hashing (also called a hash algorithm), and the block header of the next block ( The head of the block) contains the hash value of the previous block, so that the block and the block are successively connected to form a blockchain. The list of transactions contained in the block is appended to the block header. The first transaction is the coinbase transaction, which is a special transaction for miners to receive rewards and fees.

Taking Bitcoin as an example, the block generation process is a proof-of-work process. The calculation formula of the target value of proof-of-work (Target) is as follows:

target value=maximum target value/difficulty value where the maximum target value is a constant value: 0x00000000FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF. The size of the target value is inversely proportional to the difficulty value. The achievement of Bitcoin workload proof is that the block hash value calculated by the miner must be less than the target value. In the proof-of-work process, the node continuously changes the random number in the block header (that is, the value of the nonce), and performs a hash operation on the block header after each change, and compares the result value with the target value of the current network. , if it is less than the target value, the problem is solved successfully and the workload proof is completed.

Therefore, it can be known that the probability of a node generating a new block is related to its calculation times. The faster the user's calculation speed and the more calculations, the greater the probability of generating a new block.

Based on such an idea, this embodiment uses the user's running data to allocate computing resources to the user terminal 300, such as allocating computing time or computing times. The user terminal 300 of the user can change the random number (ie, the value of the nonce) in the block header within the allocated calculation time or at most with the allocated calculation times, and perform a hash operation on the block header after each change.

For example, if the calculation time allocated according to the user's running data is 10 minutes, it can only perform hash operations in 10 minutes, or the calculation time allocated according to the user's running data is 100 million times, then it can only perform 100 million calculations. Hash operation. In this way, the user's running data is converted into computing resources for generating blocks, so that users can mine and generate blocks while running, which improves the enthusiasm of users to participate in running.

In this embodiment, after generating a block, the user terminal 300 can obtain tokens in the block, and exchange certain items, such as various sports items or generated items, according to the tokens. In addition, merchants or governments can also record their rewards as a transaction in the block, and the user who generates the block can obtain the rewards involved in the transaction.

To sum up, this embodiment truly combines running with the blockchain, so that users can actually mine while running, which improves the enthusiasm of users to participate in running. Different from other so-called coin running or Sweatcoin, the combination of running and blockchain in the existing technology often obtains corresponding tokens according to the number of running steps of users. The tokens are pre-generated and have no direct connection with the running process. The connection lacks contingency and randomness, and cannot really effectively improve the enthusiasm of users and the fun of running.

Wherein, in the above-mentioned embodiment, satisfy:

z=a*y;

y ² =b*x;

z is the computing resource, y is the computing factor, x is the running data, a is the proportional coefficient, and b is the recommended daily target running number.

In this embodiment, it is obvious that the larger the running data (eg, the number of running steps) x is, the larger the corresponding computing resource y is.

Therefore, in this embodiment, a parabolic function y ² =b*x is used to define the functional relationship between the calculation factor y and the running data x.

According to this functional relationship, it can be known that before x=b, the speed of change of the calculation factor is greater than the speed of linear change, that is, the more the user runs, the more computing resources he obtains, and the speed of change is faster than the linear change (y= x) is faster. After x>b, the speed of change of the calculation factor is less than the speed of linear change, that is, the more the user runs, the more computing resources will increase, but the speed of increase will decrease significantly.

The consideration for designing such a functional relationship in this embodiment is:

1. Allow users to exercise more moderately.

Among them, if the exercise intensity is too low, a good exercise efficiency cannot be obtained, and if the exercise intensity is too high, it may cause damage to the body. Therefore, in this embodiment, when the number of running steps x is relatively small, it changes faster, and when x is relatively large, the number of running steps changes faster. The change is relatively slow, so that the number of running steps of the user can be generally kept around x=b (near x=b is the number of running steps with the highest profit ratio), so that the user can exercise more moderately. Among them, the value of b can be obtained according to the empirical parameters, and it can be preferably set between 6000-8000 steps.

2. Avoid possible cheating by some users.

For example, some users may generate a falsely large number of runs through some illegal means. If the computing resources are set to have a linear relationship with the number of runs, the user terminal of the user will obtain a very large calculation resources, that is, the probability of generating blocks will be greatly increased, which will be unfair to other users.

However, based on the functional relationship in this embodiment, when x is large, the change rate of y increases slowly or even closes to the same. Therefore, even if the user generates a false number of runs x with a large value, the corresponding computing resources will also be reduced. It will not increase significantly, ensuring the stability and fairness of the entire system as much as possible.

In this embodiment, the proportional coefficient a is obtained by multiplying an empirical constant and a weight, and the weight is proportional to the running suitability of the target road on which the user runs.

Among them, the better the running suitability of the target road on which the user runs, the greater the weight, and the more computing resources it obtains correspondingly. Through such a design, people can be guided to run at a more suitable time and on a more suitable road to ensure the effect of exercise.

Referring to FIG. 2, the second embodiment of the present invention also provides a method for recommending urban running based on the Internet of Things, including:

S201, acquiring environmental parameters collected by a plurality of smart poles disposed on an urban road through an environmental acquisition sensor;

S202, estimating the running suitability of each target road in multiple time periods according to the environmental parameters;

S203 , sending the running suitability of each target road in multiple time periods to the user terminal, so as to recommend the target road and the corresponding time period for the user to run.

Referring to FIG. 3 , a third embodiment of the present invention further provides an IoT-based urban running recommendation device, including:

An environmental parameter acquisition unit 310, configured to acquire environmental parameters collected by a plurality of smart poles disposed on urban roads through environmental acquisition sensors;

an estimation unit 320, configured to estimate the running suitability of each target road in multiple time periods according to the environmental parameters;

The sending unit 330 is configured to send the running suitability of each target road in multiple time periods to the user terminal, so as to recommend the target road and the corresponding time period for the user to run.

The fourth embodiment of the present invention also provides a device for recommending urban running based on the Internet of Things, including a memory and a processor, wherein the memory is electrically connected to the processor, and characterized in that, a computer program is stored in the memory, The computer program can be executed by the processor to implement the Internet of Things-based urban running recommendation method as described above.

Exemplarily, the computer program described in the above embodiments can be divided into one or more units, and the one or more units are stored in the memory and executed by the processor to complete the present invention . The one or more units may be a series of computer program instruction segments capable of accomplishing specific functions, and the instruction segments are used to describe the execution process of the computer program in the urban running recommendation device.

The urban running recommendation device may include, but is not limited to, a processor and a memory. Those skilled in the art can understand that the schematic diagram is only an example of the urban running recommendation device, and does not constitute a limitation on the urban running recommendation device, and may include more or less components than the one shown, or combine some components, or Different components, such as the urban running recommendation device, may also include input and output devices, network access devices, buses, and the like.

The processor may be a central processing unit (Central Processing Unit, CPU), other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf processors Programmable Gate Array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The control center of the urban running recommendation device uses various interfaces and lines to connect various parts of the entire urban running recommendation device.

The memory can be used to store the computer program and/or module, and the processor implements the city by running or executing the computer program and/or module stored in the memory and calling the data stored in the memory. Various features of running recommended equipment. The memory may mainly include a stored program area and a stored data area, wherein the stored program area may store an operating system, an application program required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the storage data area may store Data (such as audio data, phonebook, etc.) created according to the usage of the mobile phone, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory such as hard disk, internal memory, plug-in hard disk, Smart Media Card (SMC), Secure Digital (SD) card , a flash memory card (Flash Card), at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device.

Wherein, if the integrated unit of the urban running recommendation device is implemented in the form of a software functional unit and sold or used as an independent product, it may be stored in a computer-readable storage medium. Based on this understanding, the present invention can implement all or part of the processes in the methods of the above embodiments, and can also be completed by instructing relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium. When the program is executed by the processor, the steps of the foregoing method embodiments can be implemented. Wherein, the computer program includes computer program code, and the computer program code may be in the form of source code, object code, executable file or some intermediate form, and the like. The computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM, Read-Only Memory) , Random Access Memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer-readable media may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction, for example, in some jurisdictions, according to legislation and patent practice, the computer-readable media Electric carrier signals and telecommunication signals are not included.

It should be noted that the device embodiments described above are only schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical unit, that is, it can be located in one place, or it can be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution in this embodiment. In addition, in the drawings of the apparatus embodiments provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. Those of ordinary skill in the art can understand and implement it without creative effort.

The above are the preferred embodiments of the present invention. It should be pointed out that for those skilled in the art, without departing from the principles of the present invention, several improvements and modifications can be made, and these improvements and modifications may also be regarded as It is the protection scope of the present invention.

Claims (10)

1. The utility model provides a city recommendation system of running based on thing networking which characterized in that includes:

the system comprises a plurality of intelligent rods based on the Internet of things, a central server and user terminals, wherein the intelligent rods are arranged in a city; the central server is connected with each intelligent rod and the user terminal through the Internet of things or a network; wherein,

the intelligent rod comprises a plurality of environment acquisition sensors, and is used for acquiring nearby environment parameters through each environment acquisition sensor and sending the environment parameters to the central server;

the central server is used for predicting running suitability conditions of each target road in multiple time periods according to the environmental parameters acquired by the environmental acquisition sensors of the intelligent poles and sending the running suitability conditions of the multiple time periods to the user terminal;

the user terminal is used for displaying running suitability conditions of the corresponding target road in a plurality of time periods on the display interface.

2. The internet of things-based city running recommendation system according to claim 1, wherein the smart bar comprises a bar body and a communication gateway arranged on the bar body, and the environment acquisition sensor is arranged on the bar body and connected with the communication gateway;

the environment acquisition sensor comprises a temperature and humidity sensor, at least one harmful gas monitoring sensor, a wind speed sensor and a rainfall sensor;

and the environment acquisition sensor acquires current environment parameters at intervals of preset time and sends the environment parameters to the central server through the communication gateway.

3. The internet of things based city running recommendation system of claim 1, wherein the central server has a processor for:

acquiring an intelligent pole corresponding to at least one target road;

comprehensively evaluating the running suitability condition of each target road according to the corresponding environmental parameters transmitted by the intelligent rods;

marking each target road according to the running suitability condition, and sending the marking information to the user terminal, so that the user terminal can display the target road with the corresponding mark.

4. The internet of things based city running recommendation system of claim 3, wherein the central server is further configured to:

acquiring environmental parameters acquired at different time points;

estimating running suitability conditions in a plurality of time periods according to the variation trend of the environmental parameters;

and sending the running suitability conditions of a plurality of time periods to the client.

5. The internet of things-based city running recommendation system according to claim 1, wherein all user terminals can be accessed as one node into a blockchain network; the user terminal is specifically configured to:

acquiring running data of a user, and distributing and executing computing resources for generating a new block for a user terminal corresponding to the user according to the running data; wherein the computing resource is computing time or computing times for attempting to generate a new block.

6. The Internet of things-based city running recommendation system according to claim 5, wherein the following conditions are met:

z＝a*y；

y²＝b*x；

wherein z is a calculation resource, y is a calculation factor y, x is running data x, a is a proportionality coefficient, and b is a recommended target running number per day.

7. The Internet of things-based urban running recommendation system according to claim 6, wherein the proportionality coefficient a is obtained by multiplying an empirical constant by a weight, and the weight is proportional to the running suitability of the target road on which the user runs.

8. A city running recommendation method based on the Internet of things is characterized by comprising the following steps:

acquiring environmental parameters acquired by a plurality of intelligent rods arranged on urban roads through an environmental acquisition sensor;

estimating running suitability conditions of each target road in a plurality of time periods according to the environmental parameters;

and sending the running suitability degree conditions of each target road in a plurality of time periods to the user terminal so as to recommend the target road for the user to run and the corresponding time periods.

9. The utility model provides a recommendation device is run in city based on thing networking which characterized in that includes:

the system comprises an environmental parameter acquisition unit, a data acquisition unit and a data processing unit, wherein the environmental parameter acquisition unit is used for acquiring environmental parameters acquired by a plurality of intelligent rods arranged on urban roads through an environmental acquisition sensor;

the estimating unit is used for estimating the running suitability of each target road in a plurality of time periods according to the environmental parameters;

and the sending unit is used for sending the running suitability degree conditions of each target road in a plurality of time periods to the user terminal so as to recommend the target road for the user to run and the corresponding time periods.

10. An internet of things-based city running recommendation device, comprising a memory and a processor, wherein the memory is electrically connected with the processor, and a computer program is stored in the memory and can be executed by the processor to realize the internet of things-based city running recommendation method according to any one of claims 1 to 7.

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