AI intelligent agent testing system and method

Abstract

The invention relates to an AI intelligent agent testing system and method, and the method comprises the steps: randomly distributing a transmission association condition of to-be-tested equipment and each enterprise cloud gateway under the condition of setting a plurality of enterprise cloud gateways and randomly selecting the required working enterprise cloud gateway, and randomly selecting the enterprise cloud gateway applied in a data uploading process, on the premise of ensuring that internal equipment of an enterprise can be normally tested, the pressure of a transmission system of the enterprise is reduced, and meanwhile, the safety of data in the transmission process is improved.

Description

Technical Field

[0001] This invention relates to the field of equipment monitoring, and specifically to an AI-powered intelligent body measurement system and method. Background Technology

[0002] Current enterprise solutions for conducting performance evaluations on internal equipment typically involve collecting data from all devices, filtering, processing, and analyzing this data to obtain relevant performance evaluation results, recording the results, and then performing maintenance on the corresponding equipment according to relevant standards. However, this method involves processing large amounts of data, placing a significant burden on the enterprise's data transmission system.

[0003] To avoid overloading enterprise data transmission systems, some companies have proposed selecting a subset of devices for physical examinations, filtering the data, and then having it processed by a server. However, this method cannot fully cover all internal devices, resulting in incomplete physical examination data.

[0004] Meanwhile, current enterprise equipment health check systems all transmit data through enterprise intranet gateways and collect data from the equipment management terminal. The above solutions are not strong enough to prevent competitors from intercepting the health check data during data transmission.

[0005] Therefore, there is an urgent need for an AI-powered intelligent body measurement system and method that can reduce the pressure on the enterprise's transmission system while ensuring that all internal equipment can perform body measurement normally, and at the same time improve the security of data during transmission. Summary of the Invention

[0006] To address the problems of the existing technology, this invention provides an AI-powered intelligent body measurement system. By setting up multiple enterprise cloud gateways and randomly selecting the required working enterprise cloud gateway, the system randomly assigns the transmission association between the device under test and each enterprise cloud gateway, and randomly selects the enterprise cloud gateway used during data upload. This ensures that all internal devices of the enterprise can perform body measurement normally, while reducing the pressure on the enterprise's transmission system and improving the security of data during transmission.

[0007] The technical solution adopted in this invention is as follows: This invention provides an AI-powered intelligent body composition analysis system. The system includes: multiple enterprise cloud gateways, an enterprise-level server, and all registered body composition analysis devices within the enterprise. The system performs the following steps: S1. Deploy multiple enterprise cloud gateways [D1, D2, ..., Dn] within the enterprise; where n is a positive integer greater than or equal to 3; S2. The enterprise-level server generates a random number m every fixed first period T1, where m is a positive integer, and m is greater than 0 while m is less than n; S3. The enterprise-level server randomly selects m enterprise cloud gateways [G1, G2, ..., Gm]; wherein, enterprise cloud gateways [G1, G2, ..., Gm] ∈ enterprise cloud gateways [D1, D2, ..., Dn]; S4. The randomly selected enterprise cloud gateway issues a physical examination data upload instruction to the management device [M1, M2, ..., Mp] corresponding to each of the registered physical examination devices [U1, U2, ..., Up] within the enterprise; where p is a positive integer greater than 5; S5. The management devices [M1, M2, ..., Mp] send the physical examination data of all registered physical examination devices [U1, U2, ..., Up] within the enterprise to the first gateway Gi; and i is greater than 0 while m is less than p; S6. The first gateway Gi performs a preliminary screening of the collected physical examination data and feeds the preliminary screening data back to the enterprise-level server.

[0008] Furthermore, S7. The enterprise-level server analyzes the received data after initial screening to obtain the analysis data of each device to be tested [U1, U2, ..., Up].

[0009] Furthermore, the management devices [M1, M2, ..., Mp] collect physical examination data from all registered physical examination devices [U1, U2, ..., Up] within the enterprise every second cycle T2: Wherein, the second period T2 is less than the first period T1.

[0010] Furthermore, the enterprise-level server generates another random number q every fixed first period T1; where q is a positive integer, and q is greater than 0 while q is less than m.

[0011] Furthermore, the first gateway Gi is one of the m enterprise cloud gateways [G1, G2, ..., Gm] randomly selected by the enterprise server.

[0012] This invention also provides an AI-powered intelligent body assessment method, capable of performing the following steps: S1. Deploy multiple enterprise cloud gateways [D1, D2, ..., Dn] within the enterprise; where n is a positive integer greater than or equal to 3; S2. The enterprise-level server generates a random number m every fixed first period T1, where m is a positive integer, and m is greater than 0 while m is less than n; S3. The enterprise-level server randomly selects m enterprise cloud gateways [G1, G2, ..., Gm]; wherein, enterprise cloud gateways [G1, G2, ..., Gm] ∈ enterprise cloud gateways [D1, D2, ..., Dn]; S4. The randomly selected enterprise cloud gateway issues a physical examination data upload instruction to the management device [M1, M2, ..., Mp] corresponding to each of the registered physical examination devices [U1, U2, ..., Up] within the enterprise; where p is a positive integer greater than 5; S5. The management devices [M1, M2, ..., Mp] send the physical examination data of all registered physical examination devices [U1, U2, ..., Up] within the enterprise to the first gateway Gi; and i is greater than 0 while m is less than p; S6. The first gateway Gi performs a preliminary screening of the collected physical examination data and feeds the preliminary screening data back to the enterprise-level server.

[0013] Furthermore, S7. The enterprise-level server analyzes the received data after initial screening to obtain the analysis data of each device to be tested [U1, U2, ..., Up].

[0014] Furthermore, the management devices [M1, M2, ..., Mp] collect physical examination data from all registered physical examination devices [U1, U2, ..., Up] within the enterprise every second cycle T2: Wherein, the second period T2 is less than the first period T1.

[0015] Furthermore, the enterprise-level server generates another random number q every fixed first period T1; where q is a positive integer, and q is greater than 0 while q is less than m.

[0016] Furthermore, the first gateway Gi is one of the m enterprise cloud gateways [G1, G2, ..., Gm] randomly selected by the enterprise server.

[0017] The present invention has the following beneficial effects: 1) By setting up multiple enterprise cloud gateways and randomly selecting the required working enterprise cloud gateways, the transmission association between the device under test and each enterprise cloud gateway is randomly assigned, and the enterprise cloud gateway used during the data upload process is randomly selected. This can reduce the pressure on the enterprise transmission system while ensuring that all internal devices can be tested normally, and at the same time improve the security of data during transmission.

[0018] 2) By randomly setting the first gateway Gi in a randomly generated set of enterprise cloud gateways for work, it is possible to prevent competitors from knowing the enterprise cloud gateway used for currently uploaded data based on historical messages or previous communication, thus ensuring the security of the enterprise data transmission system.

[0019] 3) By randomly selecting the enterprise cloud gateways [G1, G2, ..., Gm] for work, it is possible to further prevent specific work gateways from being known by other enterprises, thereby further improving data transmission security. At the same time, by grouping the work enterprise cloud gateways with the devices under test, the load on each work enterprise cloud gateway can be reduced, and work efficiency can be improved.

[0020] 4) All registered devices to be tested within the enterprise [U1, U2, ..., Up] are grouped and their physical examination data is collected by the corresponding managed devices [M1, M2, ..., Mp] according to the cycle T2. The data is then uploaded through the first working gateway Gi, which can improve work efficiency and enable comprehensive and effective physical testing of all devices within the enterprise. Attached Figure Description

[0021] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0022] Figure 1 This is a flowchart of an AI-powered intelligent body assessment method. Detailed Implementation

[0023] The following description, in conjunction with the accompanying drawings, illustrates exemplary embodiments of this application, including various details to aid understanding. These should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this application. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0024] To enable those skilled in the art to better understand the present invention, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are merely some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort should fall within the scope of protection of the present invention.

[0025] The following description, in conjunction with the accompanying drawings, illustrates exemplary embodiments of this application, including various details to aid understanding. These should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this application. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0026] This invention provides an intelligent body composition analysis system, comprising: multiple enterprise cloud gateways, an enterprise-level server, and all registered body composition analysis devices within the enterprise. The system performs the following steps: S1. Deploy multiple enterprise cloud gateways [D1, D2, ..., Dn] within the enterprise; where n is a positive integer greater than or equal to 3; and n is less than p; S2. The enterprise-level server generates a random number m every fixed first period T1, where m is a positive integer, and m is greater than 0 while m is less than n; Furthermore, the enterprise-level server generates another random number q every fixed first period T1; where q is a positive integer, and q is greater than 0 while q is less than m.

[0027] S3. The enterprise-level server randomly selects m enterprise cloud gateways [G1, G2, ..., Gm]; wherein, enterprise cloud gateways [G1, G2, ..., Gm] ∈ enterprise cloud gateways [D1, D2, ..., Dn]; S4. The randomly selected enterprise cloud gateway [G1, G2, ..., Gm] issues a physical examination data upload instruction to the corresponding management device [M1, M2, ..., Mp] of each of the registered physical examination devices [U1, U2, ..., Up] within the enterprise; where p is a positive integer greater than 5; The enterprise-level server randomly groups the devices to be tested [U1, U2, ..., Up] into m-1 groups, with each group containing at least one device to be tested.

[0028] The enterprise-level server associates m-1 enterprise cloud gateways belonging to the enterprise cloud gateway set [G1, G2, ..., Gm] with m-1 groups of devices to be tested. Through the association relationship, the server multicasts the physical examination data upload command to the management device corresponding to the device to be tested in the corresponding group via the associated enterprise cloud gateway.

[0029] The management devices include, but are not limited to: computers, PCs, handheld terminals, or enterprise terminals; all of the management devices are capable of receiving internal enterprise emails.

[0030] S5. The management devices [M1, M2, ..., Mp] send the physical examination data of all registered physical examination devices [U1, U2, ..., Up] within the enterprise to the first gateway Gi; and i is greater than 0 while m is less than p; The first gateway Gi is selected by the enterprise server.

[0031] The enterprise-level server randomly selects a starting enterprise cloud gateway from the enterprise cloud gateways [G1, G2, ..., Gm] based on the random number q, and then traverses the enterprise cloud gateways [G1, G2, ..., Gm]. When traversing to the q-th enterprise cloud gateway, the q-th enterprise cloud gateway is determined as the first gateway Gi.

[0032] The enterprise server obtains the identifier of the first gateway Gi and sends the identifier of the first gateway Gi to each of the management devices [M1, M2, ..., Mp] based on internal enterprise email.

[0033] S6. The first gateway Gi performs a preliminary screening of the collected physical examination data and feeds the preliminary screening data back to the enterprise-level server.

[0034] The first gateway Gi acquires the physical examination data collected by each of the management devices [M1, M2, ..., Mp], and selects the data collected at the time corresponding to the time closest to the current time, T2, as the data after initial screening.

[0035] Furthermore, S7. The enterprise-level server analyzes the received data after initial screening to obtain the analysis data of each device to be tested [U1, U2, ..., Up].

[0036] Furthermore, the management devices [M1, M2, ..., Mp] collect physical examination data from all registered physical examination devices [U1, U2, ..., Up] within the enterprise every second cycle T2: Wherein, the second period T2 is less than the first period T1.

[0037] Furthermore, the first gateway Gi is one of the m enterprise cloud gateways [G1, G2, ..., Gm] randomly selected by the enterprise server.

[0038] This invention also provides an AI-powered intelligent body assessment method, capable of performing the following steps: S1. Deploy multiple enterprise cloud gateways [D1, D2, ..., Dn] within the enterprise; where n is a positive integer greater than or equal to 3; and n is less than p; S2. The enterprise-level server generates a random number m every fixed first period T1, where m is a positive integer, and m is greater than 0 while m is less than n; Furthermore, the enterprise-level server generates another random number q every fixed first period T1; where q is a positive integer, and q is greater than 0 while q is less than m.

[0039] S3. The enterprise-level server randomly selects m enterprise cloud gateways [G1, G2, ..., Gm]; wherein, enterprise cloud gateways [G1, G2, ..., Gm] ∈ enterprise cloud gateways [D1, D2, ..., Dn]; S4. The randomly selected enterprise cloud gateway [G1, G2, ..., Gm] issues a physical examination data upload instruction to the corresponding management device [M1, M2, ..., Mp] of each of the registered physical examination devices [U1, U2, ..., Up] within the enterprise; where p is a positive integer greater than 5; The enterprise-level server randomly groups the devices to be tested [U1, U2, ..., Up] into m-1 groups, with each group containing at least one device to be tested.

[0040] The enterprise-level server associates m-1 enterprise cloud gateways belonging to the enterprise cloud gateway set [G1, G2, ..., Gm] with m-1 groups of devices to be tested. Through the association relationship, the server multicasts the physical examination data upload command to the management device corresponding to the device to be tested in the corresponding group via the associated enterprise cloud gateway.

[0041] The management devices include, but are not limited to: computers, PCs, handheld terminals, or enterprise terminals; all of the management devices are capable of receiving internal enterprise emails.

[0042] S5. The management devices [M1, M2, ..., Mp] send the physical examination data of all registered physical examination devices [U1, U2, ..., Up] within the enterprise to the first gateway Gi; and i is greater than 0 while m is less than p; The first gateway Gi is selected by the enterprise server.

[0043] The enterprise-level server randomly selects a starting enterprise cloud gateway from the enterprise cloud gateways [G1, G2, ..., Gm] based on the random number q, and then traverses the enterprise cloud gateways [G1, G2, ..., Gm]. When traversing to the q-th enterprise cloud gateway, the q-th enterprise cloud gateway is determined as the first gateway Gi.

[0044] The enterprise server obtains the identifier of the first gateway Gi and sends the identifier of the first gateway Gi to each of the management devices [M1, M2, ..., Mp] based on internal enterprise email.

[0045] S6. The first gateway Gi performs a preliminary screening of the collected physical examination data and feeds the preliminary screening data back to the enterprise-level server.

[0046] The first gateway Gi acquires the physical examination data collected by each of the management devices [M1, M2, ..., Mp], and selects the data collected at the time corresponding to the time closest to the current time, T2, as the data after initial screening.

[0047] Furthermore, S7. The enterprise-level server analyzes the received data after initial screening to obtain the analysis data of each device to be tested [U1, U2, ..., Up].

[0048] Furthermore, the management devices [M1, M2, ..., Mp] collect physical examination data from all registered physical examination devices [U1, U2, ..., Up] within the enterprise every second cycle T2: Wherein, the second period T2 is less than the first period T1.

[0049] Furthermore, the first gateway Gi is one of the m enterprise cloud gateways [G1, G2, ..., Gm] randomly selected by the enterprise server.

[0050] The present invention has the following beneficial effects: 1) By setting up multiple enterprise cloud gateways and randomly selecting the required working enterprise cloud gateways, the transmission association between the device under test and each enterprise cloud gateway is randomly assigned, and the enterprise cloud gateway used during the data upload process is randomly selected. This can reduce the pressure on the enterprise transmission system while ensuring that all internal devices can be tested normally, and at the same time improve the security of data during transmission.

[0051] 2) By randomly setting the first gateway Gi in a randomly generated set of enterprise cloud gateways for work, it is possible to prevent competitors from knowing the enterprise cloud gateway used for currently uploaded data based on historical messages or previous communication, thus ensuring the security of the enterprise data transmission system.

[0052] 3) By randomly selecting the enterprise cloud gateways [G1, G2, ..., Gm] for work, it is possible to further prevent specific work gateways from being known by other enterprises, thereby further improving data transmission security. At the same time, by grouping the work enterprise cloud gateways with the devices under test, the load on each work enterprise cloud gateway can be reduced, and work efficiency can be improved.

[0053] 4) All registered devices to be tested within the enterprise [U1, U2, ..., Up] are grouped and their physical examination data is collected by the corresponding managed devices [M1, M2, ..., Mp] according to the cycle T2. The data is then uploaded through the first working gateway Gi, which can improve work efficiency and enable comprehensive and effective physical testing of all devices within the enterprise.

[0054] The specific embodiments described above do not constitute a limitation on the scope of protection of this application. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application.

[0055] Those skilled in the art will understand that the modules or steps of the present invention described above can be implemented using general-purpose computer devices. Optionally, they can be implemented using computer-executable program code, thereby allowing them to be stored in a storage device for execution by a computer device, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. The present invention is not limited to any particular combination of hardware and software.

[0056] While the specific embodiments of the present invention have been described above in conjunction with the accompanying drawings, this is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art without creative effort based on the technical solutions of the present invention are still within the scope of protection of the present invention.

[0057] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or make equivalent substitutions for some of the technical features; and these modifications or substitutions do 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. An AI-powered intelligent body assessment system, characterized in that, The system includes: multiple enterprise cloud gateways, an enterprise-level server, and all registered devices within the enterprise awaiting testing. The system performs the following steps: S1. Deploy multiple enterprise cloud gateways [D1, D2, ..., Dn] within the enterprise; where n is a positive integer greater than or equal to 3; S2. The enterprise-level server generates a random number m every fixed first period T1, where m is a positive integer, and m is greater than 0 while m is less than n; S3. The enterprise-level server randomly selects m enterprise cloud gateways [G1, G2, ..., Gm]; wherein, enterprise cloud gateways [G1, G2, ..., Gm] ∈ enterprise cloud gateways [D1, D2, ..., Dn]; S4. The randomly selected enterprise cloud gateway issues a physical examination data upload instruction to the management device [M1, M2, ..., Mp] corresponding to each of the registered physical examination devices [U1, U2, ..., Up] within the enterprise; where p is a positive integer greater than 5; S5. The management devices [M1, M2, ..., Mp] send the physical examination data of all registered physical examination devices [U1, U2, ..., Up] within the enterprise to the first gateway Gi; and i is greater than 0 while m is less than p; S6. The first gateway Gi performs a preliminary screening of the collected physical examination data and feeds back the preliminary screening data to the enterprise-level server.

2. The AI ​​intelligent body assessment system as described in claim 1, characterized in that, S7. The enterprise-level server analyzes the received data after initial screening to obtain the analysis data of each device to be tested [U1, U2, ..., Up].

3. The AI ​​intelligent body measurement system as described in claim 2, characterized in that, The management devices [M1, M2, ..., Mp] collect physical examination data from all registered physical examination devices [U1, U2, ..., Up] within the enterprise every second cycle T2. Wherein, the second period T2 is less than the first period T1.

4. The AI ​​intelligent body measurement system as described in claim 3, characterized in that, The enterprise-level server also generates another random number q every fixed first period T1; where q is a positive integer, and q is greater than 0 while q is less than m.

5. The AI ​​intelligent body assessment system as described in claim 4, characterized in that, The first gateway Gi is one of the m enterprise cloud gateways [G1, G2, ..., Gm] randomly selected by the enterprise server.

6. An AI-powered intelligent body measurement method, characterized in that, The following steps can be performed: S1. Deploy multiple enterprise cloud gateways [D1, D2, ..., Dn] within the enterprise; where n is a positive integer greater than or equal to 3; S2. The enterprise-level server generates a random number m every fixed first period T1, where m is a positive integer, and m is greater than 0 while m is less than n; S3. The enterprise-level server randomly selects m enterprise cloud gateways [G1, G2, ..., Gm]; wherein, enterprise cloud gateways [G1, G2, ..., Gm] ∈ enterprise cloud gateways [D1, D2, ..., Dn]; S4. The randomly selected enterprise cloud gateway issues a physical examination data upload instruction to the management device [M1, M2, ..., Mp] corresponding to each of the registered physical examination devices [U1, U2, ..., Up] within the enterprise; where p is a positive integer greater than 5; S5. The management devices [M1, M2, ..., Mp] send the physical examination data of all registered physical examination devices [U1, U2, ..., Up] within the enterprise to the first gateway Gi; and i is greater than 0 while m is less than p; S6. The first gateway Gi performs a preliminary screening of the collected physical examination data and feeds back the preliminary screening data to the enterprise-level server.

7. The AI-powered intelligent body measurement method as described in claim 6, characterized in that, S7. The enterprise-level server analyzes the received data after initial screening to obtain the analysis data of each device to be tested [U1, U2, ..., Up].

8. The AI-powered intelligent body measurement method as described in claim 7, characterized in that, The management devices [M1, M2, ..., Mp] collect physical examination data from all registered physical examination devices [U1, U2, ..., Up] within the enterprise every second cycle T2. Wherein, the second period T2 is less than the first period T1.

9. The AI-powered intelligent body measurement method as described in claim 8, characterized in that, The enterprise-level server also generates another random number q every fixed first period T1; where q is a positive integer, and q is greater than 0 while q is less than m.

10. The AI-powered intelligent body measurement method as described in claim 9, characterized in that, The first gateway Gi is one of the m enterprise cloud gateways [G1, G2, ..., Gm] randomly selected by the enterprise server.

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