Remote network control system based on intelligent robot

Abstract

The invention relates to the technical field of intelligent robots, in particular to a remote network control system based on an intelligent robot, and the system comprises a monitoring module which is used for monitoring the packet loss rate of environmental parameters during the transmission of the environmental parameters collected by the historical operation of the robot; and the creating module is used for acquiring the number of online robots, creating a data transmission channel based on the number of the online robots, and configuring the data transmission channel to the robot. The data transmission channel is configured for robot sorting to execute data transmission, and further operation control is reset based on the system, so that the system continuously adapts to the actual performance state of real-time operation of the robot, and the robot with the good performance state can preferentially execute an environment parameter transmission task; therefore, the effective degree of environment parameter acquisition of the robot group is improved, and the robot application scene environment parameter acquisition is more comprehensive.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent robots, and in particular to a remote network control system based on intelligent robots. Background Art

[0002] A robot network is a system that connects multiple robots to each other and interacts with an external control center or network environment. It enables information sharing and collaborative work among robots, such as collaborative assembly of multiple robots in industrial production, or collaborative search and rescue by swarm robots in rescue scenarios. Through network command transmission and data interaction, the robot's work efficiency and intelligence level are greatly improved.

[0003] The invention patent with application number 202410037400.3 discloses a robot intelligent operation remote control system based on artificial intelligence, which is characterized by including a patrol control module and a personnel identification module; the patrol control module is used to control the robot patrol, identify the target area, obtain the target area information corresponding to the target area, establish a regional model according to the target area information, and divide a number of patrol areas according to the regional model; dynamically calculate the patrol value of each patrol area; mark each patrol value at the patrol area corresponding to the regional model; dynamically sort each patrol area in order from high to low according to the corresponding patrol value; mark the patrol area ranked first as the priority patrol area, and control the robot forward Go to the priority patrol area. When the robot reaches the priority patrol area, it patrols according to the patrol plan corresponding to the priority patrol area; the personnel identification module is used to identify personnel during the robot patrol process, optimize the robot equipment, collect corresponding personnel information in real time during the robot patrol process, analyze the obtained personnel information, and determine whether the person is identified; when the person is not identified, no corresponding operation is performed; when the person is identified, the identity of the corresponding person is determined according to the personnel information; after the identity of the person is determined, the corresponding identification record is marked, and the monitoring data of the corresponding identified person is obtained in real time; the obtained monitoring data and identification records are saved; when the identity of the person cannot be determined, personnel exception processing is performed.

[0004] This application aims to solve the problem that "existing robots often follow preset navigation routes when working, but the existing navigation routes are relatively fixed. Bad people can infer when and where the patrol robot will appear based on daily observations, which gives bad people an opportunity to take advantage of the situation. There are certain safety hazards. The identification and related processing of abnormal people have certain problems. Abnormal people in the target area cannot be effectively identified, and misjudgment is prone to occur, which is inconsistent with the original intention of setting up patrol robots."

[0005] However, robots that automatically find their way and collect environmental parameters are easily disturbed by external factors during operation, which causes the integrity and accuracy of the collected and transmitted environmental parameters to be affected by the network.

[0006] Therefore, a remote network control system based on intelligent robots is proposed. Summary of the invention

[0007] In view of the above-mentioned shortcomings of the prior art, the present invention provides a remote network control system based on an intelligent robot, which solves the technical problems raised in the above-mentioned background technology.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0009] A remote network control system based on an intelligent robot, comprising:

[0010] The monitoring module is used to monitor the packet loss rate of the environmental parameters collected during the robot's historical operation. The creation module is used to obtain the number of online robots, create a data transmission channel based on the number of online robots, and apply the data transmission channel to the robot for the robot to transmit the environmental parameters collected during its operation. The configuration module is used to configure the data transmission channel created in the creation module for the robot. The refresh module is used to refresh the system operation. The control module is used to monitor the network status security and control the robot's permission to use the data transmission channel to transmit environmental parameters based on the network status security monitoring results. The feedback module is used to count the average packet loss rate of the robot's historical operation and feedback the average packet loss rate statistics to the system end user.

[0011] Among them, the system end user reads the average packet loss rate of each robot's historical operation in the feedback module, and performs offline system upgrades and optimization processing on each robot based on the average packet loss rate of the robot.

[0012] Furthermore, the monitoring module is provided with submodules at the lower level, including:

[0013] An identification unit, used to receive a moving path of the robot in operation and identify the complexity of the robot's moving scene based on the moving path;

[0014] A recording unit, used to obtain the packet loss rate of the environmental parameters monitored by the monitoring module during transmission and the corresponding robot movement scene complexity, and store the obtained packet loss rate and robot movement scene complexity;

[0015] When storing the packet loss rate and the complexity of the robot's moving scene, the recording unit stores the packet loss rate and the complexity of the robot's moving scene in a one-to-one corresponding and bound manner.

[0016] Furthermore, the packet loss rate of the environmental parameters collected by the robot during operation during transmission is calculated by the following formula:

[0017]

[0018] Where: P loss is the packet loss rate of the environmental parameter during transmission; M is the number of data transmission rounds; n ri is the number of data packets sent in the i-th round of data transmission; n ti is the number of data packets successfully received in the i-th round of data transmission; n oi is the number of data packets that are judged to be lost due to timeout in the i-th round of data transmission; n bi is the number of data packets lost due to buffer overflow at the receiving end in the i-th round of data transmission.

[0019] Furthermore, the recognition logic of the complexity of the robot movement scene in the recognition unit is expressed as:

[0020]

[0021] Where: C is the complexity of the robot moving scene; α, β, γ are weight coefficients; n is the total number of points on the robot moving path; θ j is the steering angle sequence of the jth point; L is the length of the robot's moving path; L 0 is the straight-line distance between the starting point and the end point in the robot's moving path;

[0022] Among them, the values ​​of weight coefficients α, β, and γ are defined by the system end user, and the weight coefficients are all positive numbers less than 1. The steering angle sequence θ of the jth point j obey:

[0023] Where: is the vector of the section defined by the jth point and the j+1th point in the robot's moving path; is the vector of the section defined by the j+1th point and the j+2th point in the robot's moving path.

[0024] Furthermore, during the operation phase of the creation module, when the number of online robots is obtained and a data transmission channel is created based on the number of online robots, the created data transmission channel is always one less than the number of online robots;

[0025] Among them, the operation of creating a data transmission channel in the creation module is reset every time the number of online robots is updated.

[0026] Furthermore, the robot and the robot management background receiving the environmental parameters are deployed in the same network, and the data transmission channels created in the creation module are all created in the network;

[0027] The configuration module is internally provided with submodules, including:

[0028] A logic unit, used to set the configuration logic of the data transmission channel and the robot, and to perform the mutual configuration operation of the data transmission channel and the robot based on the configuration logic;

[0029] Among them, the data transmission channel and the configuration logic of the robot set in the logic unit are:

[0030] Get the current robot's moving path, retrieve the robot's corresponding recorded packet loss rate and the complexity of the robot's moving scene;

[0031] Calculate the complexity of the moving scene where the robot has moved, denoted as C now ;

[0032] Further estimate the overall packet loss rate of the robot's current collected environmental parameters during transmission;

[0033]

[0034] Where: C is the complexity of the robot moving scene; P loss The packet loss rate of the environmental parameters collected by the robot during transmission; C now is the complexity of the moving scene where the robot has moved; λ is the correction; P loss ′ is the estimated value of the overall packet loss rate of the robot’s current environmental parameters during transmission;

[0035] A data transmission channel is configured for each robot based on the size of the estimated value of the overall packet loss rate, so that the robot with a large estimated value of the overall packet loss rate is given priority in configuring the data transmission channel.

[0036] Furthermore, a robot that is not configured with a data transmission channel, when a robot that is configured with a data transmission channel does not apply its configured data transmission channel, applies an idle data transmission channel to perform a data transmission operation;

[0037] The value of the modified λ is subject to:

[0038] 2≥λ≥1, and C now The shorter the corresponding robot's moved path is or the shorter the time the moved path is generated is, the larger the correction λ value is, and vice versa, the smaller the correction λ value is.

[0039] Furthermore, the refresh module is provided with submodules at the lower level, including:

[0040] An iteration unit, used for iterating the packet loss rate and the complexity of the robot moving scene stored in the recording unit;

[0041] Among them, the refresh module is triggered to run synchronously after the online robots complete an environmental parameter transmission operation, and the iteration unit runs synchronously with the refresh module to iterate the data content originally stored in the recording unit based on the latest packet loss rate and complexity of the mobile scene of each robot.

[0042] Furthermore, the control module closes all data transmission channels when the network status is detected to be unsafe, and opens all data transmission channels when the network status is detected to be safe;

[0043] The network status security monitoring logic in the control module is:

[0044] The ratio of the network attack frequency and the network attack interception probability in the network is monitored in real time. If the ratio is equal to the network attack frequency itself, it means that the network status is safe. Otherwise, it means that the network status is unsafe.

[0045] Furthermore, the monitoring module is interactively connected to an identification unit and a recording unit at a lower level via a wireless network, the monitoring module is interactively connected to a creation module and a configuration module via a wireless network, the configuration module is interactively connected to a logic unit via a wireless network, the logic unit is interactively connected to the recording unit via a wireless network, the configuration module is interactively connected to a refresh module via a wireless network, the refresh module is interactively connected to an iteration unit at a lower level via a wireless network, and the refresh module is interactively connected to a control module and a feedback module via a wireless network.

[0046] Compared with the known public technology, the technical solution provided by the present invention has the following beneficial effects:

[0047] The present invention provides a remote network control system based on an intelligent robot. During operation, the system combines the packet loss rate of the robot's mobile scene and the packet loss rate of the robot when transmitting environmental parameter data packets, and arranges the robots to perform data transmission through data transmission channels. The system is further based on system reset operation control, so that the system continuously adapts to the actual performance status of the robot's real-time operation, ensuring that robots with good performance status can preferentially perform environmental parameter transmission tasks, thereby improving the effectiveness of the robot group in collecting environmental parameters and making the robot application scenario collect environmental parameters more comprehensive. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0049] Figure 1This is a structural diagram of a remote network control system based on an intelligent robot. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] The present invention will be further described below in conjunction with the embodiments.

[0052] Example:

[0053] A remote network control system based on an intelligent robot in this embodiment, such as Figure 1 As shown, including:

[0054] A monitoring module is used to monitor the packet loss rate of environmental parameters collected during the robot's historical operation during transmission;

[0055] The monitoring module is equipped with submodules, including:

[0056] An identification unit, used to receive a moving path of the robot in operation and identify the complexity of the robot's moving scene based on the moving path;

[0057] A recording unit, used to obtain the packet loss rate of the environmental parameters monitored by the monitoring module during transmission and the corresponding robot movement scene complexity, and store the obtained packet loss rate and robot movement scene complexity;

[0058] Wherein, when the recording unit stores the packet loss rate and the complexity of the robot movement scene, the packet loss rate and the complexity of the robot movement scene are bound and stored in a one-to-one correspondence;

[0059] A creation module is used to obtain the number of online robots, create a data transmission channel based on the number of online robots, and apply the data transmission channel configuration to the robot so that the robot can transmit the environmental parameters collected during its operation;

[0060] The packet loss rate of the environmental parameters collected by the robot during transmission is calculated by the following formula:

[0061]

[0062] Where: P loss is the packet loss rate of the environmental parameter during transmission; M is the number of data transmission rounds; n riis the number of data packets sent in the i-th round of data transmission; n ti is the number of data packets successfully received in the i-th round of data transmission; n oi is the number of data packets that are judged to be lost due to timeout in the i-th round of data transmission; n bi is the number of data packets lost due to buffer overflow at the receiving end in the i-th round of data transmission;

[0063] Through the above logical formula, the calculation method of the packet loss rate of environmental parameters during transmission is limited, providing further data support for the operation of the modules in this system.

[0064] The recognition logic of the complexity of the robot moving scene in the recognition unit is expressed as:

[0065]

[0066] Where: C is the complexity of the robot moving scene; α, β, γ are weight coefficients; n is the total number of points on the robot moving path; θ j is the steering angle sequence of the jth point; L is the length of the robot's moving path; L 0 is the straight-line distance between the starting point and the end point in the robot's moving path;

[0067] Among them, the values ​​of weight coefficients α, β, and γ are defined by the system end user, and the weight coefficients are all positive numbers less than 1. The steering angle sequence θ of the jth point j obey:

[0068] Where: is the vector of the section defined by the jth point and the j+1th point in the robot's moving path; is the vector of the section defined by the j+1th point and the j+2th point in the robot's moving path;

[0069] The above logic formula is used to calculate the complexity of the robot's moving scene, providing support for further calculation of the overall packet loss rate of the robot's current collected environmental parameters during transmission.

[0070] Configuration module, used to configure the robot to create the data transmission channel created in the module;

[0071] The robot and the robot management background that receives environmental parameters are deployed in the same network, and the data transmission channels created in the creation module are all created in this network;

[0072] The configuration module has submodules inside, including:

[0073] A logic unit, used to set the configuration logic of the data transmission channel and the robot, and to perform the mutual configuration operation of the data transmission channel and the robot based on the configuration logic;

[0074] Among them, the data transmission channel and the configuration logic of the robot set in the logic unit are:

[0075] Get the current robot's moving path, retrieve the robot's corresponding recorded packet loss rate and the complexity of the robot's moving scene;

[0076] Calculate the complexity of the moving scene where the robot has moved, denoted as C now ;

[0077] Further estimate the overall packet loss rate of the robot's current collected environmental parameters during transmission;

[0078]

[0079] Where: C is the complexity of the robot moving scene; P loss The packet loss rate of the environmental parameters collected by the robot during transmission; C now is the complexity of the moving scene where the robot has moved; λ is the correction; P loss ′ is the estimated value of the overall packet loss rate of the robot’s current environmental parameters during transmission;

[0080] By calculating through the above logic formula, the overall packet loss rate of the robot's current collected environmental parameters during transmission is obtained, thereby providing logical support for the configuration of the data transmission channel and the robot.

[0081] Based on the estimated value of the overall packet loss rate, a data transmission channel is configured for each robot, so that the robot with a large estimated value of the overall packet loss rate is given priority in configuring the data transmission channel;

[0082] A robot that is not configured with a data transmission channel shall use an idle data transmission channel to perform data transmission operations when a robot that is configured with a data transmission channel does not use its configured data transmission channel.

[0083] The value of the modified λ follows:

[0084] 2≥λ≥1, and C now The shorter the corresponding robot's moved path is or the shorter the time it takes to generate the moved path is, the larger the correction λ value is, and vice versa, the smaller the correction λ value is;

[0085] Refresh module, used to refresh system operation;

[0086] The refresh module is divided into submodules, including:

[0087] An iteration unit, used for iterating the packet loss rate and the complexity of the robot moving scene stored in the recording unit;

[0088] Among them, the refresh module is triggered to run synchronously after the online robots complete the environmental parameter transmission operation once, and the iteration unit runs synchronously with the refresh module to iterate the data content originally stored in the recording unit according to the latest packet loss rate and complexity of the mobile scene of each robot;

[0089] A control module is used to monitor the network status security and control the permission of the robot application data transmission channel to transmit environmental parameters based on the network status security monitoring results;

[0090] When the control module detects that the network status is unsafe, it closes all data transmission channels; when the control module detects that the network status is safe, it opens all data transmission channels;

[0091] The network status security monitoring logic in the control module is:

[0092] Real-time monitoring of the ratio of network attack frequency and network attack interception probability in the network. If the ratio is equal to the network attack frequency itself, it means that the network status is safe, otherwise, it means that the network status is unsafe;

[0093] The feedback module is used to count the average packet loss rate of the robot's historical operation and feed back the average packet loss rate statistics to the system end user;

[0094] Among them, the system end user reads the average packet loss rate of each robot's historical operation in the feedback module, and performs offline system upgrades and optimization processing on each robot based on the average packet loss rate of the robot;

[0095] The monitoring module is interactively connected to the identification unit and the recording unit at the lower level through the wireless network, the monitoring module is interactively connected to the creation module and the configuration module through the wireless network, the configuration module is interactively connected to the logic unit through the wireless network, the logic unit is interactively connected to the recording unit through the wireless network, the configuration module is interactively connected to the refresh module through the wireless network, the refresh module is interactively connected to the iteration unit at the lower level through the wireless network, and the refresh module is interactively connected to the control module and the feedback module through the wireless network.

[0096] In this embodiment, the monitoring module runs to monitor the packet loss rate of the environmental parameters collected during the historical operation of the robot during transmission, the identification unit synchronously receives the moving path of the robot in the running state, identifies the complexity of the robot's moving scene based on the moving path, the recording unit obtains the packet loss rate of the environmental parameters monitored by the monitoring module during transmission and the corresponding complexity of the robot's moving scene in real time, and stores the obtained packet loss rate and the complexity of the robot's moving scene, the creation module further obtains the number of online robots, creates a data transmission channel based on the number of online robots, and applies the data transmission channel to the robot for the robot to transmit the environmental parameters collected during its operation, the configuration module post-operates to configure the data transmission channel created in the robot creation module, the logic unit synchronously sets the configuration logic of the data transmission channel and the robot, executes the operation of mutual configuration of the data transmission channel and the robot based on the configuration logic, and then the refresh module is used to refresh the system operation, the iteration unit synchronously iterates the packet loss rate and the complexity of the robot's moving scene stored in the recording unit, and finally monitors the network status security through the control module, and controls the robot's authority to use the data transmission channel to transmit the environmental parameters based on the network status security monitoring result, the feedback module runs to count the average packet loss rate of the robot's historical operation, and feeds back the average packet loss rate statistics to the system end user.

[0097] Through the operation of the system in the above embodiment, network management services are provided for the robot that automatically finds its way to collect environmental parameters, ensuring that the robot can more stably transmit the environmental parameters it has collected, thereby improving the effectiveness and comprehensiveness of the robot group's collection of environmental parameters.

[0098] like Figure 1 As shown, during the creation module running phase, when the number of online robots is obtained and the data transmission channel is created based on the number of online robots, the created data transmission channel is always 1 less than the number of online robots;

[0099] Among them, the operation of creating a data transmission channel in the creation module is reset every time the number of online robots is updated.

[0100] Through the above settings, further operation data support is provided for the operation of the system in the above embodiments, thereby ensuring stable operation of the system in the above embodiments.

[0101] In summary, during the operation of the system in the above embodiment, the packet loss rate of the robot's mobile scenario and the packet loss rate of the robot when transmitting environmental parameter data packets are combined to sort the robots and configure the data transmission channel to perform data transmission. The system is further reset based on the system operation control to enable the system to continuously adapt to the actual performance status of the robot's real-time operation, ensuring that robots with good performance status can perform environmental parameter transmission tasks first, thereby improving the effectiveness of the robot group in collecting environmental parameters and making the robot application scenario collect environmental parameters more comprehensive.

[0102] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A remote network control system based on intelligent robots, characterized in that: include: A monitoring module is used to monitor the packet loss rate of environmental parameters collected during the robot's historical operation during transmission; A creation module is used to obtain the number of online robots, create a data transmission channel based on the number of online robots, and apply the data transmission channel configuration to the robot so that the robot can transmit the environmental parameters collected during its operation; Configuration module, used to configure the robot to create the data transmission channel created in the module; Refresh module, used to refresh system operation; A control module is used to monitor the network status security and control the permission of the robot application data transmission channel to transmit environmental parameters based on the network status security monitoring results; The feedback module is used to count the average packet loss rate of the robot's historical operation and feed back the average packet loss rate statistics to the system end user; Among them, the system end user reads the average packet loss rate of each robot's historical operation in the feedback module, and performs offline system upgrades and optimization processing on each robot based on the average packet loss rate of the robot.

2. A remote network control system based on an intelligent robot according to claim 1, characterized in that: The monitoring module is provided with submodules at the lower level, including: An identification unit, used to receive a moving path of the robot in operation and identify the complexity of the robot's moving scene based on the moving path; A recording unit, used to obtain the packet loss rate of the environmental parameters monitored by the monitoring module during transmission and the corresponding robot movement scene complexity, and store the obtained packet loss rate and robot movement scene complexity; When storing the packet loss rate and the complexity of the robot's moving scene, the recording unit stores the packet loss rate and the complexity of the robot's moving scene in a one-to-one corresponding and bound manner.

3. The remote network control system based on intelligent robots according to claim 1 is characterized in that: The packet loss rate of the environmental parameters collected by the robot during operation is calculated by the following formula: Where: P loss is the packet loss rate of the environmental parameter during transmission; M is the number of data transmission rounds; n ri is the number of data packets sent in the i-th round of data transmission; n t i is the number of data packets successfully received in the i-th round of data transmission; n oi is the number of data packets that are judged to be lost due to timeout in the i-th round of data transmission; n bi is the number of data packets lost due to buffer overflow at the receiving end in the i-th round of data transmission.

4. A remote network control system based on an intelligent robot according to claim 2, characterized in that: The recognition logic of the complexity of the robot moving scene in the recognition unit is expressed as: Where: C is the complexity of the robot moving scene; α, β, γ are weight coefficients; n is the total number of points on the robot moving path; θ j is the steering angle sequence of the jth point; L is the length of the robot's moving path; L0 is the straight-line distance between the starting point and the end point in the robot's moving path; Among them, the values ​​of weight coefficients α, β, and γ are defined by the system end user, and the weight coefficients are all positive numbers less than 1. The steering angle sequence θ of the jth point j obey: Where: is the vector of the section defined by the jth point and the j+1th point in the robot's moving path; is the vector of the section defined by the j+1th point and the j+2th point in the robot's moving path.

5. The remote network control system based on intelligent robots according to claim 1 is characterized in that: During the creation module operation phase, when the number of online robots is obtained and a data transmission channel is created based on the number of online robots, the created data transmission channel is always one less than the number of online robots; Among them, the operation of creating a data transmission channel in the creation module is reset every time the number of online robots is updated.

6. The remote network control system based on intelligent robots according to claim 1 is characterized in that: The robot and the robot management background receiving the environmental parameters are deployed in the same network, and the data transmission channels created in the creation module are all created in the network; The configuration module is internally provided with submodules, including: A logic unit, used to set the configuration logic of the data transmission channel and the robot, and to perform the mutual configuration operation of the data transmission channel and the robot based on the configuration logic; Among them, the data transmission channel and the configuration logic of the robot set in the logic unit are: Get the current robot's moving path, retrieve the robot's corresponding recorded packet loss rate and the complexity of the robot's moving scene; Calculate the complexity of the moving scene where the robot has moved, denoted as C now ; Further estimate the overall packet loss rate of the robot's current collected environmental parameters during transmission; Where: C is the complexity of the robot moving scene; P loss The packet loss rate of the environmental parameters collected by the robot during transmission; C now is the complexity of the moving scene where the robot has moved; λ is the correction; P loss ′ is the estimated value of the overall packet loss rate of the robot’s current environmental parameters during transmission; A data transmission channel is configured for each robot based on the size of the estimated value of the overall packet loss rate, so that the robot with a large estimated value of the overall packet loss rate is given priority in configuring the data transmission channel.

7. A remote network control system based on an intelligent robot according to claim 6, characterized in that: A robot that is not configured with a data transmission channel shall use an idle data transmission channel to perform data transmission operations when a robot that is configured with a data transmission channel does not use its configured data transmission channel. The value of the modified λ is subject to: 2≥λ≥1, and C now The shorter the corresponding robot's moved path is or the shorter the time the moved path is generated is, the larger the correction λ value is, and vice versa, the smaller the correction λ value is.

8. The remote network control system based on intelligent robots according to claim 1 is characterized in that: The refresh module is provided with submodules at the lower level, including: An iteration unit, used for iterating the packet loss rate and the complexity of the robot moving scene stored in the recording unit; Among them, the refresh module is triggered to run synchronously after the online robots complete an environmental parameter transmission operation, and the iteration unit runs synchronously with the refresh module to iterate the data content originally stored in the recording unit based on the latest packet loss rate and complexity of the mobile scene of each robot.

9. The remote network control system based on intelligent robots according to claim 1 is characterized in that: The control module closes all data transmission channels when the network status is detected to be unsafe, and opens all data transmission channels when the network status is detected to be safe; The network status security monitoring logic in the control module is: The ratio of the network attack frequency and the network attack interception probability in the network is monitored in real time. If the ratio is equal to the network attack frequency itself, it means that the network status is safe. Otherwise, it means that the network status is unsafe.

10. The remote network control system based on intelligent robots according to claim 1, characterized in that: The monitoring module is interactively connected to an identification unit and a recording unit at a lower level through a wireless network, the monitoring module is interactively connected to a creation module and a configuration module through a wireless network, the configuration module is interactively connected to a logic unit through a wireless network, the logic unit is interactively connected to the recording unit through a wireless network, the configuration module is interactively connected to a refresh module through a wireless network, the refresh module is interactively connected to an iteration unit at a lower level through a wireless network, and the refresh module is interactively connected to a control module and a feedback module through a wireless network.

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