Method and device for remotely diagnosing wireless acquisition equipment, product, equipment and medium

Abstract

The invention discloses a method and device for remotely diagnosing wireless acquisition equipment, a product, equipment and a medium, and relates to the technical field of communication, and the method comprises the steps: when a cloud platform displays that the intelligent wireless acquisition equipment is offline, recording a power-on timestamp of the intelligent wireless acquisition equipment once every first preset duration, and storing the power-on timestamp in a black box; based on the offline time period of the intelligent wireless acquisition equipment, determining whether the intelligent wireless acquisition equipment is online and offline frequently; when it is determined that the intelligent wireless acquisition device is frequently online and offline, detecting whether the timestamp is newly added in the black box during the offline period of the intelligent wireless acquisition device, and obtaining a detection result; and obtaining an offline diagnosis result of the intelligent wireless acquisition equipment based on the detection result. According to the invention, the remote diagnosis of the power-off fault of the intelligent wireless acquisition equipment is realized, and the technical problem that the specific power-off reason of the intelligent acquisition equipment depending on the power supply of the monitored equipment cannot be remotely judged in the related technology is solved.

Description

Technical Field

[0001] The present invention relates to the field of communication technologies, and in particular, to a method, device, product, equipment and medium for remotely diagnosing a wireless acquisition device. Background Art

[0002] Currently, intelligent acquisition devices are mainly used to collect and monitor the remote data of power equipment in real time. However, the prerequisite for ensuring the real-time collection and monitoring of remote data is that the intelligent acquisition device itself is online.

[0003] There are mainly three factors affecting whether the intelligent acquisition device can operate normally:

[0004] 1. Whether the power supply system of the intelligent acquisition device supplies power normally;

[0005] 2. Whether the wireless signal of the intelligent acquisition device is normal;

[0006] 3. Whether the internal application program of the intelligent acquisition device runs normally.

[0007] Since the intelligent acquisition device has two types of power supply methods, the first type is self-power supply, and the second type is power supply by the device to be monitored. Among them, in the second power supply method, if the device to be monitored is powered off, the monitoring device, that is, the intelligent acquisition device, will also be powered off automatically, resulting in the intelligent acquisition device going offline and unable to operate normally.

[0008] Therefore, for an intelligent acquisition device that depends on the second power supply method, in order to remotely monitor whether the intelligent acquisition device goes offline due to the device to be monitored, it is necessary to determine whether the wireless signal and the internal application program of the intelligent acquisition device are running normally. However, because the device cannot be connected remotely at this time, it is impossible to determine the specific reason, which makes it helpless to diagnose the fault. Summary of the Invention

[0009] The present invention provides a method, device, product, equipment and medium for remotely diagnosing a wireless acquisition device, which can solve the technical problem in the prior art that for an intelligent acquisition device that depends on the power supply of the device to be monitored, the specific reason for its offline cannot be remotely determined.

[0010] To achieve the above object, the present invention provides the following technical solutions:

[0011] In a first aspect, an embodiment of the present invention provides a method for remotely diagnosing a wireless acquisition device, the method including:

[0012] When the cloud platform shows that the intelligent wireless acquisition device goes offline, record the power-on timestamp of the intelligent wireless acquisition device once every first preset duration and store it in the black box;

[0013] Determine whether the intelligent wireless acquisition device frequently goes online and offline based on the offline time period of the intelligent wireless acquisition device;

[0014] When it is determined that the intelligent wireless acquisition device frequently goes online and offline, detect whether a new timestamp is added to the black box during the offline period of the intelligent wireless acquisition device to obtain a detection result;

[0015] Based on the detection result, obtain the offline diagnosis result of the intelligent wireless acquisition device.

[0016] Optionally, the step of determining whether the intelligent wireless acquisition device frequently goes online and offline based on the offline time period of the intelligent wireless acquisition device includes:

[0017] Calculate the difference between the end time of the previous offline time period and the start time of the next offline time period of the intelligent wireless acquisition device;

[0018] If the differences calculated based on multiple consecutive offline time periods are all less than a preset value, determine that the intelligent wireless acquisition device frequently goes online and offline.

[0019] Optionally, the step of determining whether the intelligent wireless acquisition device frequently goes online and offline based on the offline time period of the intelligent wireless acquisition device includes:

[0020] Calculate the difference between the end time of the previous offline time period and the start time of the next offline time period of the intelligent wireless acquisition device;

[0021] If the number of times the difference is less than the preset value within a second preset duration is greater than a preset quantity, determine that the intelligent wireless acquisition device frequently goes online and offline.

[0022] Optionally, the step of obtaining the offline diagnosis result of the intelligent wireless acquisition device based on the detection result includes:

[0023] If the detection result is that a new timestamp is added to the black box, obtain the offline diagnosis result of the intelligent wireless acquisition device as that the wireless signal and / or internal application program of the intelligent wireless acquisition device is not operating properly.

[0024] Optionally, the step of obtaining the offline diagnosis result of the intelligent wireless acquisition device based on the detection result includes:

[0025] If the detection result is that no new timestamp is added to the black box, obtain the offline diagnosis result of the intelligent wireless acquisition device as that the monitored device is powered off.

[0026] Optionally, after the step of obtaining the offline diagnosis result of the intelligent wireless acquisition device based on the detection result, it includes:

[0027] Based on the diagnosis result, control the preset terminal to generate corresponding alarm prompts.

[0028] In a second aspect, an embodiment of the present invention provides a device for remotely diagnosing a wireless acquisition device, the device comprising:

[0029] A data recording module, configured to record the power-on timestamp of the intelligent wireless acquisition device once every first preset time interval and store it in the black box when the cloud platform shows that the intelligent wireless acquisition device is offline;

[0030] A judgment module, configured to determine whether the intelligent wireless acquisition device frequently goes online and offline based on the offline time period of the intelligent wireless acquisition device;

[0031] A detection module, configured to detect whether a new timestamp is added to the black box during the offline period of the intelligent wireless acquisition device when it is determined that the intelligent wireless acquisition device frequently goes online and offline, and obtain a detection result;

[0032] A diagnosis result acquisition module, configured to obtain the offline diagnosis result of the intelligent wireless acquisition device based on the detection result.

[0033] In a third aspect, an embodiment of the present invention further provides an electronic device, including: a memory, a processor; the processor is used to read and execute the computer program stored in the memory to implement the steps of the foregoing method for remotely diagnosing a wireless acquisition device.

[0034] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, in which computer-executable instructions are stored, and when the computer-executable instructions are executed, the steps of the foregoing method for remotely diagnosing a wireless acquisition device are implemented.

[0035] In a fifth aspect, an embodiment of the present invention further provides a computer program product, including computer programs / instructions, and when the computer programs / instructions are executed by a processor, the steps of the foregoing method for remotely diagnosing a wireless acquisition device are implemented.

[0036] The beneficial effects brought by the technical solutions provided by the embodiments of the present invention include:

[0037] When the cloud platform shows that the intelligent wireless acquisition device is offline, record the power-on timestamp of the intelligent wireless acquisition device once every first preset time interval and store it in the black box; determine whether the intelligent wireless acquisition device frequently goes online and offline based on the offline time period of the intelligent wireless acquisition device; when it is determined that the intelligent wireless acquisition device frequently goes online and offline, detect whether a new timestamp is added to the black box during the offline period of the intelligent wireless acquisition device to obtain a detection result; based on the detection result, obtain the offline diagnosis result of the intelligent wireless acquisition device. Through the present invention, remote diagnosis of the power-off fault of the intelligent wireless acquisition device is realized, and the technical problem in the related art that for an intelligent acquisition device that depends on the power supply of the device to be monitored, the specific reason for its power-off cannot be remotely determined is solved. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0039] Figure 1 It is a schematic flowchart of an embodiment of the method for remotely diagnosing a wireless acquisition device of the present invention;

[0040] Figure 2 It is a schematic diagram of the acquisition monitoring scenario of an embodiment of the method for remotely diagnosing a wireless acquisition device of the present invention;

[0041] Figure 3 It is a schematic diagram of the timestamp recorded in the black box of an embodiment of the method for remotely diagnosing a wireless acquisition device of the present invention;

[0042] Figure 4 For Figure 1 It is a schematic detailed flowchart of the first embodiment of step S20 in

[0043] Figure 5 For Figure 1 It is a schematic detailed flowchart of the second embodiment of step S20 in

[0044] Figure 6 It is a schematic diagram of the functional modules of an embodiment of the device for remotely diagnosing a wireless acquisition device of the present invention;

[0045] Figure 7 It is a schematic diagram of the structure of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0046] The following will clearly and completely describe the technical solutions in the embodiments of the present invention 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. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0047] To make the objectives, technical solutions, and advantages of the present invention clearer, the following will describe the embodiments of the present invention in detail with reference to the accompanying drawings.

[0048] In a first aspect, an embodiment of the present invention provides a method for remotely diagnosing a wireless acquisition device.

[0049] In one embodiment, referring to Figure 1 , Figure 1 is a schematic flowchart of an embodiment of the method for remotely diagnosing a wireless acquisition device of the present invention. As Figure 1 shown, the method for remotely diagnosing a wireless acquisition device includes:

[0050] Step S10: When the cloud platform shows that the intelligent wireless acquisition device is offline, record the power-on timestamp of the intelligent wireless acquisition device every first preset time interval and store it in the black box;

[0051] In this embodiment, referring to Figure 2 , in a remote device cluster, for a distributed intelligent wireless acquisition device that depends on the power supply of the monitored device, check whether the intelligent wireless acquisition device is offline through the cloud platform. When the cloud platform shows that the intelligent wireless acquisition device is offline, if the intelligent wireless acquisition device is powered on, a timestamp will be recorded every first preset time interval and stored in the black box; if the intelligent wireless acquisition device is powered off, no timestamp will be recorded. Every time the intelligent wireless acquisition device is powered on, a timestamp is recorded, and the black box is started to store the recorded timestamp. When the cloud platform shows that the intelligent wireless acquisition device is offline, the power-on timestamp of the intelligent wireless acquisition device is recorded every first preset time interval and stored in the black box. Specifically, referring to Figure 3 , the monitored device powers the intelligent wireless acquisition device, and the black box stores the timestamps recorded every first preset time interval. It should be noted that the first preset time interval can be 30 seconds, 1 minute, 2 minutes, etc., which can be set according to specific needs.

[0052] Step S20: Determine whether the intelligent wireless acquisition device frequently goes online and offline based on the offline time period of the intelligent wireless acquisition device;

[0053] In one embodiment, referring to Figure 4 , Figure 4 For Figure 1Schematic diagram of the refined process of the first embodiment of step S20. As Figure 4 shown, step S20 includes:

[0054] Step S201, calculate the difference between the end time of the previous offline period and the start time of the next offline period on the intelligent wireless acquisition device;

[0055] Step S202, if the differences calculated based on multiple consecutive offline periods are all less than the preset value, it is determined that the intelligent wireless acquisition device frequently goes online and offline.

[0056] In this embodiment, the offline period of the intelligent wireless acquisition device is obtained through the cloud platform display, and the difference between the end time of the previous offline period and the start time of the next offline period on the intelligent wireless acquisition device is calculated. If the obtained difference is greater than the preset value, it means that the intelligent wireless acquisition device has been powered off. Exemplarily, if the preset value is 30 seconds, the offline periods of the intelligent wireless acquisition device obtained through the cloud platform display are respectively: from 2024-0807-08:12:00 to 2024-0807-08:12:03, from 2024-0807-08:12:05 to 2024-0807-08:12:15, and from 2024-0807-08:12:30 to 2024-0807-08:12:37. Then calculate the difference between 2024-0807-08:12:03 and 2024-0807-08:12:05, and the difference between 2024-0807-08:12:15 and 2024-0807-08:12:30. If the threshold is 2, since both of these differences are less than the preset value of 30 seconds, it is determined that the intelligent wireless acquisition device frequently goes online and offline.

[0057] In another embodiment, referring to Figure 5 , Figure 5 is Figure 1 Schematic diagram of the refined process of the second embodiment of step S20 in Figure 5 shown, step S20 further includes:

[0058] Step S210, calculate the difference between the end time of the previous offline period and the start time of the next offline period on the intelligent wireless acquisition device;

[0059] Step S211, if the number of times the difference is less than the preset value within the second preset duration is greater than the preset quantity, it is determined that the intelligent wireless acquisition device frequently goes online and offline.

[0060] In this embodiment, taking the preset value as 30 seconds, the second preset duration as 3 minutes, and the preset quantity as 10 as an example, exemplarily, the offline time periods of the intelligent wireless acquisition device obtained through the cloud platform display are respectively: from 2024-0807-08:12:00 to 2024-0807-08:12:03, from 2024-0807-08:12:05 to 2024-0807-08:12:15, and from 2024-0807-08:12:30 to 2024-0807-08:12:37. Then calculate the difference between 2024-0807-08:12:03 and 2024-0807-08:12:05, and the difference between 2024-0807-08:12:15 and 2024-0807-08:12:30.

[0061] If within 3 minutes, the number of differences calculated to be greater than 30 seconds is greater than 10, it means that within 3 minutes, the intelligent wireless acquisition device has been offline and online at least 10 times. Therefore, it can be determined that the intelligent wireless acquisition device frequently goes offline and online.

[0062] Step S30, when it is determined that the intelligent wireless acquisition device frequently goes offline and online, detect whether a new timestamp is added to the black box during the offline period of the intelligent wireless acquisition device to obtain a detection result;

[0063] In this embodiment, when it is determined that the intelligent wireless acquisition device frequently goes offline and online, obtain each offline time period of the intelligent wireless acquisition device through the cloud platform. For any offline time period of the intelligent wireless acquisition device, detect whether a power-on timestamp of the intelligent wireless acquisition device is newly added to the black box during the offline period of the intelligent wireless acquisition device to obtain a detection result.

[0064] Step S40, based on the detection result, obtain the offline diagnosis result of the intelligent wireless acquisition device.

[0065] In some specific embodiments, step S40 includes:

[0066] If the detection result is that a new timestamp is added to the black box, then obtain the offline diagnosis result of the intelligent wireless acquisition device as that the wireless signal and / or internal application program of the intelligent wireless acquisition device do not run normally.

[0067] In this embodiment, continue to refer to Figure 3, the offline time period of a smart wireless acquisition device obtained through the cloud platform is from 2024-0808-17:28 to 2024-0808-17:32. Since the detection result is that a new power-on timestamp of the smart wireless acquisition device is added to the black box, it indicates that the smart wireless acquisition device is in the powered-on state at this time. It can be excluded that the power-off of the monitored device causes the power-off of the smart wireless acquisition device. However, for the smart wireless acquisition device seen by the cloud monitoring platform, it is in the offline state, indicating that the power-off of the smart wireless acquisition device may be caused by the loss of the wireless signal and / or the failure to start the internal application. Therefore, if the detection result is that a new power-on timestamp of the smart wireless acquisition device is added to the black box during the offline period of the smart wireless acquisition device, the diagnosis result of the power-off reason of the smart wireless acquisition device is that the wireless signal and / or the internal application of the smart wireless acquisition device are not operating properly.

[0068] In some specific embodiments, step S40 further includes:

[0069] If the detection result is that no new timestamp is added to the black box, the diagnosis result of the offline of the smart wireless acquisition device is that the monitored device is powered off.

[0070] In this embodiment, if no new power-on timestamp of the smart wireless acquisition device is added to the black box during the offline period of the smart wireless acquisition device, it indicates that the monitored device itself is powered off, resulting in the power-off of the smart wireless acquisition device. Therefore, if the detection result is that no new timestamp is added to the black box during the offline period of the smart wireless acquisition device, the diagnosis result of the power-off reason of the smart wireless acquisition device is that the monitored device is powered off. Through this embodiment, not only can the reason for the offline of the smart wireless acquisition device be remotely diagnosed, but also whether the monitored device fails to power off can be determined.

[0071] In this embodiment, when the cloud platform displays that the smart wireless acquisition device is offline, the power-on timestamp of the smart wireless acquisition device is recorded once every first preset time period and stored in the black box; based on the timestamp, it is determined whether the smart wireless acquisition device frequently powers on and off; when it is determined that the smart wireless acquisition device frequently powers on and off, it is detected whether a new timestamp is added to the black box during the offline period of the smart wireless acquisition device to obtain a detection result; based on the detection result, the diagnosis result of the offline of the smart wireless acquisition device is obtained. Through this embodiment, the remote diagnosis of the offline failure of the smart wireless acquisition device is realized, and the technical problem in the related art that for a smart acquisition device that depends on the power supply of the monitored device, the specific reason for its power-off cannot be remotely determined is solved.

[0072] Optionally, in one embodiment, after the step of obtaining the diagnosis result of the offline of the smart wireless acquisition device based on the detection result, it includes:

[0073] Based on the diagnostic result, control the preset terminal to generate corresponding alarm prompts.

[0074] In this embodiment, if the offline diagnostic result of the intelligent wireless acquisition device is that the wireless signal and / or the internal application program of the intelligent wireless acquisition device are not operating properly, then control the preset terminal to generate a first alarm prompt. If the offline diagnostic result of the intelligent wireless acquisition device is that the monitored device is powered off and the monitored device has a fault, then control the preset terminal to generate a second alarm prompt. The alarm prompt can be a light prompt, a sound prompt, a short message prompt, etc.

[0075] Exemplarily, the first alarm prompt can be: turn on the red light, voice broadcast "The wireless signal and / or the internal application program are not operating properly", or continuously vibrate 2 times every 5 seconds; the second alarm prompt can be: turn on the blue light, voice broadcast "The monitored device itself is powered off", or continuously vibrate 3 times every 5 seconds. That is, different diagnostic results result in different alarm prompts, so that even if the remote wireless monitoring technician is not on site, they can quickly know the reason for the power-off of the intelligent wireless acquisition device, and thus take corresponding solutions to make the intelligent wireless acquisition device go online as soon as possible. At the same time, equipment faults that can be remotely solved, such as wireless communication faults and application program disconnections, are excluded, reducing the cost of on-site troubleshooting.

[0076] In a second aspect, an embodiment of the present invention further provides a device for remotely diagnosing a wireless acquisition device.

[0077] In one embodiment, refer to Figure 6 , Figure 6 is a schematic diagram of the functional modules of an embodiment of the device for remotely diagnosing a wireless acquisition device of the present invention. As Figure 6 shown, the device for remotely diagnosing a wireless acquisition device includes:

[0078] A data recording module 10, configured to record the power-on timestamp of the intelligent wireless acquisition device once every first preset duration and store it in the black box when the cloud platform shows that the intelligent wireless acquisition device is offline;

[0079] A judgment module 20, configured to determine whether the intelligent wireless acquisition device frequently goes online and offline based on the offline time period of the intelligent wireless acquisition device;

[0080] A detection module 30, configured to detect whether a new timestamp is added to the black box during the offline period of the intelligent wireless acquisition device when it is determined that the intelligent wireless acquisition device frequently goes online and offline, and obtain a detection result;

[0081] A diagnostic result acquisition module 40, configured to obtain the offline diagnostic result of the intelligent wireless acquisition device based on the detection result.

[0082] Optionally, in one embodiment, the determination module 20 is configured to:

[0083] Calculate the difference between the end time of the previous offline period and the start time of the next offline period on the intelligent wireless acquisition device;

[0084] If the differences calculated based on multiple consecutive offline periods are all less than a preset value, it is determined that the intelligent wireless acquisition device frequently goes online and offline.

[0085] Optionally, in one embodiment, the determination module 20 is configured to:

[0086] Calculate the difference between the end time of the previous offline period and the start time of the next offline period on the intelligent wireless acquisition device;

[0087] If the number of times the difference is less than the preset value within a second preset duration is greater than a preset quantity, it is determined that the intelligent wireless acquisition device frequently goes online and offline.

[0088] Optionally, in one embodiment, the diagnosis result acquisition module 40 is configured to:

[0089] If the detection result is that a new timestamp is added to the black box, the offline diagnosis result of the intelligent wireless acquisition device is obtained as that the wireless signal and / or internal application program of the intelligent wireless acquisition device do not operate normally.

[0090] Optionally, in one embodiment, the diagnosis result acquisition module 40 is configured to:

[0091] If the detection result is that no new timestamp is added to the black box, the offline diagnosis result of the intelligent wireless acquisition device is obtained as that the monitored device is powered off.

[0092] Optionally, in one embodiment, the device for remotely diagnosing a wireless acquisition device further includes an alarm module, which is configured to:

[0093] Based on the diagnosis result, control a preset terminal to generate a corresponding alarm prompt.

[0094] Wherein, the function implementation of each module in the above device for remotely diagnosing a wireless acquisition device corresponds to each step in the method embodiment for remotely diagnosing a wireless acquisition device above, and its function and implementation process will not be elaborated here one by one.

[0095] In a third aspect, an embodiment of the present invention further provides an electronic device, the structure of which is as Figure 7 shown, including: a memory and a processor, and the processor is used to read and execute a computer program stored in the memory to implement the foregoing method for remotely diagnosing a wireless acquisition device.

[0096] Fourthly, an embodiment of the present invention further provides a computer storage medium, in which computer-executable instructions are stored, and when the computer-executable instructions are executed, the method for a remote diagnosis wireless acquisition device described above is implemented.

[0097] Fifthly, an embodiment of the present invention provides a computer program product. The program product is stored in a storage medium and is executed by at least one processor to implement each process of the method embodiment of the remote diagnosis wireless acquisition device as described above, and can achieve the same technical effects. To avoid repetition, it will not be elaborated here.

[0098] Finally, it should be noted that: in some processes described in the embodiments of the present invention, multiple operations or steps appear in a specific order. However, it should be understood that these operations or steps may not be executed in the order in which they appear in the embodiments of the present invention or may be executed in parallel. The serial numbers of the operations are only used to distinguish different operations, and the serial numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed in sequence or in parallel, and these operations or steps may be combined.

[0099] The foregoing is only the preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or perform equivalent replacements for some of the technical features. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for remotely diagnosing a wireless acquisition device, characterized in that: The method comprises: When the cloud platform shows that the intelligent wireless acquisition device is offline, the power-on timestamp of the intelligent wireless acquisition device is recorded once every first preset time interval and stored in the black box; Determining whether the intelligent wireless acquisition device frequently goes online and offline based on the offline time period of the intelligent wireless acquisition device; When it is determined that the intelligent wireless acquisition device frequently goes online and offline, detecting whether the timestamp is added to the black box during the period when the intelligent wireless acquisition device is offline, and obtaining a detection result; Based on the detection result, an offline diagnosis result of the intelligent wireless acquisition device is obtained.

2. The method for remotely diagnosing a wireless data acquisition device according to claim 1, characterized in that: The step of determining whether the intelligent wireless acquisition device frequently goes online and offline based on the offline time period of the intelligent wireless acquisition device comprises: Calculate the difference between the end time of the last offline time period of the intelligent wireless acquisition device and the start time of the next offline time period; If the differences calculated based on multiple consecutive offline time periods are all smaller than the preset values, it is determined that the intelligent wireless acquisition device frequently goes online and offline.

3. The method for remotely diagnosing a wireless data acquisition device according to claim 1, characterized in that: The step of determining whether the intelligent wireless acquisition device frequently goes online and offline based on the offline time period of the intelligent wireless acquisition device comprises: Calculate the difference between the end time of the last offline time period of the intelligent wireless acquisition device and the start time of the next offline time period; If within the second preset time period, the number of times that the difference is less than the preset value is greater than the preset number, it is determined that the intelligent wireless acquisition device frequently goes online and offline.

4. The method for remotely diagnosing a wireless data acquisition device according to claim 1, characterized in that: The step of obtaining the offline diagnosis result of the intelligent wireless acquisition device based on the detection result includes: If the detection result is a newly added timestamp in the black box, then the offline diagnosis result of the intelligent wireless acquisition device is that the wireless signal and / or internal application of the intelligent wireless acquisition device is operating abnormally.

5. The method for remotely diagnosing a wireless data acquisition device according to claim 1, characterized in that: The step of obtaining the offline diagnosis result of the intelligent wireless acquisition device based on the detection result includes: If the detection result is that there is no newly added timestamp in the black box, then the offline diagnosis result of the intelligent wireless acquisition device is that the monitored device is powered off.

6. The method for remotely diagnosing a wireless data acquisition device according to claim 1, characterized in that: After the step of obtaining the offline diagnosis result of the intelligent wireless acquisition device based on the detection result, the method includes: Based on the diagnosis results, the preset terminal is controlled to generate corresponding alarm prompts.

7. A device for remote diagnosis of wireless data acquisition equipment, characterized in that: The device comprises: The data recording module is configured to record the power-on timestamp of the intelligent wireless acquisition device once every first preset time interval and store it in the black box when the cloud platform indicates that the intelligent wireless acquisition device is offline; A judgment module is configured to determine whether the intelligent wireless acquisition device frequently goes online and offline based on the offline time period of the intelligent wireless acquisition device; A detection module is configured to detect whether the timestamp is added to the black box during the period when the intelligent wireless acquisition device is offline when it is determined that the intelligent wireless acquisition device is frequently online and offline, and obtain a detection result; The diagnosis result acquisition module is configured to obtain an offline diagnosis result of the intelligent wireless acquisition device based on the detection result.

8. An electronic device, characterized in that: include: Memory and processor; The processor is used to read and execute the computer program stored in the memory to implement the steps of the method for remotely diagnosing a wireless data acquisition device as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed, the steps of the method for remotely diagnosing a wireless data acquisition device as described in any one of claims 1 to 6 are implemented.

10. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instruction is executed by a processor, the steps of the method for remotely diagnosing a wireless data acquisition device as described in any one of claims 1 to 6 are implemented.

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