A greenhouse gas observation equipment operating status monitoring and early warning method and system

Abstract

The embodiment of the present application relates to the field of monitoring and early warning technology, and discloses a greenhouse gas observation equipment operation status monitoring and early warning method and system. The method first compares the monitoring data of the main device with the historical monitoring data, and then verifies the accuracy of the monitoring data of the main device through the auxiliary device. When the verification finds that the main device does have inaccurate monitoring, it outputs a first early warning signal to remind the administrator to replace the equipment in time, and then determines whether the main device has overheating or burning failure through image recognition. When there is overheating or burning failure, it outputs a second early warning signal to remind the administrator to take emergency measures. In this way, the operating status of the monitoring equipment can be fed back in time to remind the administrator to take corresponding processing actions, thereby ensuring the continuous and stable operation of the greenhouse gas monitoring equipment.

Description

Technical Field

[0001] The present invention relates to the field of monitoring and early warning technology, and in particular to a method and system for monitoring and early warning of the operating status of greenhouse gas observation equipment. Background Art

[0002] The accurate monitoring of greenhouse gases is crucial in fields such as meteorology or greenhouse farming. However, monitoring equipment is easily affected by various factors in a long-term monitoring environment, which leads to a decrease in monitoring accuracy and affects the stable operation of the overall equipment. Currently, equipment maintenance is mainly carried out through regular maintenance, such as regular calibration of equipment, which cannot guarantee the real-time stability of the monitoring equipment and thus cannot effectively control the stable operation of the equipment. Summary of the invention

[0003] The main purpose of the present invention is to provide a method and system for monitoring and early warning the operating status of greenhouse gas observation equipment, aiming to solve the technical problem in the prior art that the monitoring equipment cannot be guaranteed to operate effectively and stably.

[0004] To achieve the above-mentioned purpose, in a first aspect, a greenhouse gas observation device operation status monitoring and early warning method is provided in an embodiment of the present application, which is applied to a greenhouse gas observation device operation status monitoring and early warning system, wherein the greenhouse gas observation device is used to perform intelligent monitoring of greenhouse gases, and comprises a main device and an auxiliary device, and when performing intelligent monitoring of greenhouse gases, the main device is in a working state, and the auxiliary device is in a standby state, and the method comprises:

[0005] Acquire greenhouse gas related parameters monitored by the master device to obtain a first current parameter;

[0006] Determining that the first current parameter is not within the value range of the relevant parameter historically monitored by the main device, and starting the auxiliary device to perform temporary monitoring sampling to obtain a second current parameter;

[0007] Determine that the deviation rate between the second current parameter and the first current parameter is greater than or equal to a first preset deviation threshold, and the second current parameter is within the numerical range of the relevant parameter historically monitored by the master device, and output a first warning signal to the master device;

[0008] Acquire a real-time image of the master device based on the first warning signal;

[0009] Analyzing the real-time image to obtain fault information of the main device;

[0010] A second warning signal is output to the master device according to the fault information.

[0011] Preferably, the determining that the first current parameter is not within a numerical range of a related parameter historically monitored by the master device includes:

[0012] It is determined that the first current parameters collected continuously for a preset time period are not between the lowest value and the highest value of the relevant parameters historically monitored by the master device.

[0013] Preferably, the real-time image includes a real-time thermal image, and the analyzing the real-time image to obtain the fault information of the main device includes:

[0014] Analyzing the real-time thermal image to obtain fever data;

[0015] It is determined that the heating data is abnormal, and fault information indicating that the main device has an overheating fault is obtained.

[0016] Preferably, the fever data includes the fever areas of different fever degree regions and their corresponding fever degrees; and determining that the fever data is abnormal includes:

[0017] Based on the heating areas S1, S2 ...Sn and their corresponding heating levels A1, A2 ...An, an overheating failure probability P is obtained;

[0018] Determine that the overheating failure probability is greater than or equal to a preset failure rate threshold, and determine that the heating data is abnormal; wherein the overheating failure probability satisfies the following expression:

[0019] +P 01 ( ≤S0), +P 02 ( >S0), P 01 is the correction value of the overheating fault probability when the heating area is less than or equal to the preset area threshold, P 01 The value of P is related to the ambient temperature. When the ambient temperature is higher than the set value, 01 is a negative value, between (-10%, -5%), when

[0020] When the ambient temperature is lower than the set value, P 01 is a positive value, between (0%, 5%); P 02 is the correction value of the overheating fault probability when the heating area is greater than the preset area threshold. The value of P02 is related to the heating state of the main board of the main device. When the main board of the main device is under normal condition and the heating is serious, P 02 It is a negative value, between (-10%, -5%). When the main device motherboard is in normal state and the heating is not serious, P 02is a positive value between (0%, 5%); i is the sequence number of different heating degree areas, Si is the corresponding heating area of ​​different heating degree areas, S0 is the preset area threshold, S is the total area of ​​the main equipment, and B is the control parameter of the overheating failure probability P.

[0021] Preferably, the real-time image includes a real-time grayscale image, and the analyzing the real-time image to obtain the fault information of the master device includes:

[0022] Performing smoke feature recognition on the real-time grayscale image to obtain smoke data;

[0023] It is determined that the smoke data is abnormal, and fault information indicating that the main device has a burnout fault is obtained.

[0024] Preferably, the smoke data includes the smoke area and the smoke area change, and the determining that the smoke data is abnormal includes:

[0025] It is determined that the smoke area is greater than or equal to a first preset value and the smoke area change is greater than or equal to a second preset value, and it is determined that the smoke data is abnormal.

[0026] Preferably, after the step of outputting the first warning signal to the master device, the method further comprises:

[0027] Turn off the main device, use the auxiliary device as the main device to perform intelligent monitoring of greenhouse gases, and output a reminder warning signal for configuring the auxiliary device; and / or,

[0028] After the step of outputting the second warning signal to the master device, the method further includes:

[0029] The main device is shut down, and a warning signal is outputted to remind the main device to perform emergency treatment.

[0030] Preferably, before the step of outputting the first warning signal to the master device, the method further comprises:

[0031] restarting the master device to reacquire greenhouse gas related parameters to obtain a third current parameter;

[0032] Determine that a deviation rate between the third current parameter and the first current parameter is less than or equal to a second preset deviation threshold, and output a first warning signal to the master device.

[0033] Preferably, after starting the auxiliary device to perform temporary monitoring sampling to obtain the second current parameter, the method further includes:

[0034] Determine that the deviation rate between the second current parameter and the first current parameter is less than a first preset deviation threshold, and the second current parameter is not within the numerical range of the relevant parameters historically monitored by the main device, output a third warning signal to the main device, and the third warning signal is used to characterize that the main device has detected an abnormality in the greenhouse gas parameters under normal conditions.

[0035] In the second aspect, an embodiment of the present application also provides a greenhouse gas observation equipment operation status monitoring and early warning system, including: an image acquisition device, a processor and a memory; wherein the image acquisition device is used to acquire a real-time image of a main device, the memory is used to store program code, and the processor is used to call the program code to execute the method described in the first aspect.

[0036] Different from the prior art, the greenhouse gas observation equipment operation status monitoring and early warning method provided in the embodiment of the present application first obtains the greenhouse gas related parameters monitored by the main device to obtain the first current parameter; then determines that the first current parameter is not within the numerical range of the related parameters historically monitored by the main device, starts the auxiliary device to perform temporary monitoring sampling to obtain the second current parameter; then determines that the deviation rate of the second current parameter from the first current parameter is greater than or equal to the first preset deviation threshold, and the second current parameter is within the numerical range of the related parameters historically monitored by the main device, and outputs the first early warning signal to the main device; finally, determines whether the main device has an overheating or burning fault according to the image information of the main device, so as to output the second early warning signal to the main device. That is, the present application first compares the monitoring data of the main device with the historical monitoring data, and then verifies the accuracy of the monitoring data of the main device through the auxiliary device. When the verification finds that the main device does have inaccurate monitoring, the first early warning signal is output to remind the administrator to replace the monitoring device in time, and then determines whether the main device has an overheating or burning fault through image recognition. When there is an overheating or burning fault, the second early warning signal is output to remind the administrator to take emergency measures. In this way, the operating status of the monitoring device can be fed back in time to remind the administrator to take corresponding processing actions, thereby ensuring the continuous and stable operation of the monitoring device. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] 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 description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying creative work.

[0038] Figure 1A flowchart of a method for monitoring and early warning the operation status of greenhouse gas observation equipment in some embodiments of the present application;

[0039] Figure 2 A flowchart of a method for monitoring and early warning the operation status of greenhouse gas observation equipment in some embodiments of the present application;

[0040] Figure 3 This is a module diagram of a device operation status monitoring and early warning system in some embodiments of the present application.

[0041] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only 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.

[0043] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present invention are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0044] In addition, the descriptions of "first", "second", etc. in the present invention are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, "and / or" in the full text includes three solutions. Taking A and / or B as an example, it includes technical solution A, technical solution B, and technical solution that satisfies both A and B. In addition, the technical solutions between the various embodiments can be combined with each other, but it must be based on the ability of ordinary technicians in this field to implement. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0045] The accurate monitoring of greenhouse gases is crucial in fields such as meteorology or greenhouse farming. For example, monitoring the concentration, temperature or humidity of greenhouse gases. Since the monitoring equipment is exposed to the temperature and humidity of the gas environment for a long time, it is easily affected by various factors, resulting in a decrease in the accuracy of monitoring, affecting the stable operation of the overall equipment. At present, equipment maintenance is mainly carried out through regular maintenance, that is, managers regularly calibrate the relevant monitoring equipment to maintain its accuracy. This operation method is not only inefficient, but also unable to effectively control the stable operation of the equipment in real time.

[0046] In response to the above problems, the present application proposes a method for monitoring and early warning the operating status of greenhouse gas observation equipment. The method is applied to a greenhouse gas observation equipment operating status monitoring and early warning system. The greenhouse gas equipment is used to perform intelligent monitoring of greenhouse gases. The greenhouse gas equipment includes a main device and an auxiliary device. When intelligent monitoring of greenhouse gases is performed, the main device is in a working state and the auxiliary device is in a standby state.

[0047] The following will mainly describe the specific steps of the greenhouse gas observation equipment operation status monitoring and early warning method. It should be noted that although the logical order is shown in the flow chart, in some cases, the steps shown or described can be performed in a different order from here. Figure 1-2 , the method comprising:

[0048] S100, acquiring greenhouse gas related parameters monitored by the master device to obtain a first current parameter;

[0049] In one embodiment, the first current parameter may be a real-time monitoring parameter at each moment. For example, when the main device collects data every 1 second, the first current parameter may be a monitoring parameter collected every second. The first current parameter may also be a monitoring parameter within a period of time, such as a set of parameters monitored within 5 consecutive seconds. The first current parameter may also be an average value of the monitoring parameter within a period of time, such as an average value of the parameters collected every 5 seconds. There is no limitation here. The embodiment of the present application uses a parameter set of monitoring parameters within a period of time.

[0050] S200, determining that the first current parameter is not within the numerical range of the relevant parameter historically monitored by the main device, and starting the auxiliary device to perform temporary monitoring sampling to obtain a second current parameter;

[0051] It can be understood that when the parameters collected in real time are greatly different from the parameters collected historically by the device, or when the parameters collected in real time are not within the range of the parameters collected historically by the device, the first possibility is that there is an abnormality in the parameters of the greenhouse gas, and the second possibility is that there is an abnormality in the monitoring device. Based on this, when the present application finds that there is an abnormality in the first current parameter, the auxiliary device is started for verification, that is, the auxiliary device is started for temporary monitoring and sampling to obtain the second current parameter. Similarly, the second current parameter is collected in the same way as the first current parameter. When the first current parameter is a parameter set within a certain time period (such as 5S), the second current parameter is also a parameter set within the corresponding time.

[0052] In one embodiment, determining that the first current parameter is not within a numerical range of a related parameter historically monitored by the master device includes:

[0053] Determine that the first current parameter collected for a preset time is not between the minimum value and the maximum value of the relevant parameter historically monitored by the master device. For example, when the minimum value monitored by the master device during historical monitoring is 20 and the maximum value is 45, when the monitored parameters within a certain continuous time are not between 20-45, it indicates that the first current parameter is abnormal.

[0054] S300, determining that the deviation rate between the second current parameter and the first current parameter is greater than or equal to a first preset deviation threshold, and the second current parameter is within the numerical range of the relevant parameter historically monitored by the master device, outputting a first warning signal to the master device;

[0055] In one embodiment, when the second current parameter is within the historical monitoring data range of the main device, and there is a large gap between the second current parameter and the first current parameter, that is, the deviation rate between the second current parameter and the first current parameter is greater than or equal to the first preset deviation threshold, and the second current parameter is within the numerical range of the relevant parameters historically monitored by the main device, it indicates that there is an abnormality in the monitoring device, resulting in inaccurate monitoring data, and maintenance management of the monitoring device (accuracy correction) is required. At this time, the system outputs a first warning signal to the main device, and the first warning signal is used to remind the administrator to pay attention to inaccurate monitoring of the main device.

[0056] In another embodiment, when the deviation rate between the second current parameter and the first current parameter is less than a first preset deviation threshold, and the second current parameter is not within the numerical range of the relevant parameters historically monitored by the main device, that is, the data monitored by the main device is close to the data monitored by the auxiliary device, and both are not within the range of the historical monitoring data of the main device, it indicates that there is an abnormality in the greenhouse gas parameters and greenhouse gas parameter management is required. At this time, the system outputs a third warning signal to the main device, and the third warning signal is used to characterize that the main device detects an abnormality in the greenhouse gas parameters under normal conditions.

[0057] In this way, the present application identifies the operating status of the monitoring equipment through data monitoring of the main equipment and data monitoring and verification of the auxiliary equipment to issue different early warning signals, thereby providing reliable information for managers to output corresponding solutions.

[0058] It can be understood that when it is detected that the greenhouse gas monitoring device has an abnormality resulting in inaccurate monitoring data, if the main device is still used for parameter monitoring, the operation effect of the entire system will be affected. Therefore, in one embodiment, after the step of outputting the first warning signal to the main device, it also includes:

[0059] S310, shut down the main device, use the auxiliary device as the main device to perform intelligent monitoring of greenhouse gases, and output a reminder warning signal for configuring the auxiliary device.

[0060] Specifically, after detecting an abnormality in the monitoring device and issuing a first warning signal, the system automatically shuts down the main device and uses the auxiliary device as the main device to perform intelligent monitoring of greenhouse gases. Since the auxiliary device has just been started, its monitoring accuracy can be guaranteed. Therefore, using the auxiliary device as the main device to perform intelligent monitoring of greenhouse gases at this time can ensure the accuracy and stability of data monitoring; since only the auxiliary device (used as the main device) is operating stably when the main device is inaccurate, in order to prevent the auxiliary device (used as the main device) from causing inaccurate monitoring as the monitoring progresses, thereby causing unstable operation or even paralysis of the entire system, the system outputs a reminder warning signal for configuring the auxiliary device to remind the administrator to promptly configure another auxiliary device for monitoring assistance.

[0061] S400, acquiring a real-time image of the master device based on the first warning signal;

[0062] It is understandable that there may be many reasons for the abnormality of the main monitoring equipment leading to inaccurate monitoring data. One possibility is that the main equipment has been exposed to the high temperature and high humidity environment of greenhouse gases for a long time, causing its monitoring sensitivity or the physical state of the sensor to change, thus affecting the monitoring accuracy; another possibility is that the main equipment has been heated or burned due to long-term operation, which has affected the monitoring accuracy.

[0063] Therefore, after the system sends out the first warning signal, the present application obtains the real-time image of the main device. There are many ways to obtain the real-time image of the main device, such as obtaining the image through a camera, and then converting the image into a grayscale image to analyze and process the grayscale image; thermal images can also be obtained through an infrared camera, and then the thermal images are analyzed and processed.

[0064] S500, analyzing the real-time image to obtain fault information of the main device;

[0065] In one implementation, the real-time image includes a real-time thermal image, and the step S500: analyzing the real-time image to obtain the fault information of the master device includes:

[0066] Analyzing the real-time thermal image to obtain fever data;

[0067] It is determined that the heating data is abnormal, and fault information indicating that the main device has an overheating fault is obtained.

[0068] In the embodiment of the present application, the fever data includes the fever areas of different fever degree regions and their corresponding fever degrees; further, determining that the fever data is abnormal includes:

[0069] Based on the heating areas S1, S2 ...Sn and their corresponding heating levels A1, A2 ...An, an overheating failure probability P is obtained;

[0070] Determine that the overheating failure probability is greater than or equal to a preset failure rate threshold, and determine that the heating data is abnormal; wherein the overheating failure rate satisfies the following expression:

[0071] +P 01 ( ≤S0), +P 02 ( >S0), P 01 is the correction value of the overheating failure probability when the heating area is small, P 02 is the correction value of the overheating fault probability when the heating area is large, S is the total area of ​​the main equipment, and B is the control parameter of the overheating fault probability P.

[0072] Specifically, when the heating area of ​​the main device is too large, that is, greater than the preset area threshold S0, the probability of failure due to overheating is also high, and the larger the overheating area, the greater the probability of failure due to overheating. +P 02 Calculate, P 02 The value of is related to the heating state of the main board of the main device. When the main board of the main device is seriously heated under normal conditions, the overheating probability needs to be reduced to eliminate the impact of normal overheating, that is, P 02 is a negative value, such as between (-10%, -5%). When the main device motherboard is not seriously overheated under normal conditions, a cooling fan is used for heat dissipation. However, since the cooling fan has the risk of failure, it is necessary to increase the overheating probability to superimpose the fan failure probability, that is, P 02 is a positive value, such as between (0%, 5%). When the heating area of ​​the main device is not large (i.e. not greater than the preset area threshold S0), but the heating degree of the heating area is different, it indicates that the core components are overheated and affect the surrounding overheating. At this time, the probability of overheating failure is +P 01 Calculate, P 01 The value of is related to the ambient temperature. To eliminate the influence of the ambient temperature, when the ambient temperature is high (higher than the set value), P 01 If the ambient temperature is low (lower than the set value), P 01 is a positive value, such as between (0%, 5%), and the B parameter is used to control the overheating fault probability P2 to control the overheating fault probability P2 and the overheating fault probability to facilitate comparison with the failure rate threshold under the same standard.

[0073] The present application can estimate the failure probability based on the heating area and the degree of heating, and can classify and calculate the failure probability based on the actual heating area, and perform probability compensation / correction of different factors during the classification calculation process. In this way, the accuracy of overheating failure probability estimation can be greatly improved, thereby enabling more accurate monitoring and early warning of the operating status of greenhouse gas monitoring equipment.

[0074] In another embodiment, the real-time image includes a real-time grayscale image, and the step S500: analyzing the real-time image to obtain the fault information of the master device includes:

[0075] Performing smoke feature recognition on the real-time grayscale image to obtain smoke data;

[0076] It is determined that the smoke data is abnormal, and fault information indicating that the main device has a burnout fault is obtained.

[0077] In the embodiment of the present application, the smoke data includes the smoke area and the smoke area change, and the determining that the smoke data is abnormal includes:

[0078] It is determined that the smoke area is greater than or equal to a first preset value and the smoke area change is greater than or equal to a second preset value, and it is determined that the smoke data is abnormal.

[0079] Specifically, when an abnormality is detected in the smoke area and the smoke area change in the real-time grayscale image of the main device, it means that the main device is burning and there is a trend of accelerated loss, so that the abnormal smoke data can be used to obtain fault information of overheating and burning of the main device.

[0080] It should be noted that the amount of change in the smoke area can be determined by comparing and analyzing continuously changing image frames.

[0081] In other embodiments, the information of overheating fault may be identified by simultaneously collecting thermal images and grayscale images to make a comprehensive judgment.

[0082] In this way, the monitoring and early warning system of the present application obtains fault information of overheating failure of the main device through image recognition and analysis of the main device. That is, when the probability of overheating failure of the main device is greater than or equal to a preset failure rate threshold value through thermal image and / or grayscale image recognition and analysis of the main device, it is determined that there is an abnormality in the heating data of the main device, thereby obtaining fault information that the main device has an overheating failure.

[0083] S600. Output a second warning signal to the master device according to the fault information.

[0084] In one embodiment, when the system receives fault information that a main device has an overheating fault, the monitoring and early warning system outputs a second early warning signal to the main device. The second early warning signal is used to indicate that the main device has a fault that is likely to trigger a danger. At this time, the monitoring and early warning system controls the main device to shut down and outputs a reminder early warning signal for emergency processing of the main device, so as to remind the administrator to perform emergency processing on the main device.

[0085] In another embodiment, before the step of outputting the first warning signal to the master device, the method further includes:

[0086] restarting the master device to reacquire greenhouse gas related parameters to obtain a third current parameter;

[0087] Determine that a deviation rate between the third current parameter and the first current parameter is less than or equal to a second preset deviation threshold, and output a first warning signal to the master device.

[0088] It can be understood that when the system detects that there is an abnormality in the monitoring device, resulting in inaccurate monitoring data, it may be that the monitoring device has a fault that cannot be automatically repaired, or it may be caused by a freeze in the processing device of the monitoring device. In the case of a freeze, the monitoring device can be automatically repaired by shutting down and restarting it. Therefore, in an embodiment of the present application, before the step of outputting a first warning signal to the main device, the main device is restarted to re-acquire greenhouse gas related parameters to obtain a third current parameter. When the deviation rate between the third current parameter and the first current parameter is less than or equal to the second preset deviation threshold, it indicates that the parameters monitored after the restart are not much different from the parameters monitored before the restart, which further indicates that the most likely reason for the inaccurate monitoring data is that the monitoring device has a fault that cannot be automatically repaired. At this time, the first warning signal to the main device is output.

[0089] This application first compares the monitoring data of the main device with the historical monitoring data, and then verifies the accuracy of the monitoring data of the main device through the auxiliary device. When the verification finds that the main device does have inaccurate monitoring, it outputs a first warning signal to remind the administrator to replace the device in time, and then uses image recognition to determine whether the main device has overheating or burning failure. When there is overheating or burning failure, it outputs a second warning signal to remind the administrator to take emergency measures. In this way, the operating status of the monitoring device can be fed back in time to remind the administrator to take corresponding processing actions, thereby ensuring the continuous and stable operation of the monitoring device.

[0090] The present application also provides a greenhouse gas observation equipment operation status monitoring and early warning system 100, see the attached Figure 3 , Figure 3 A schematic diagram of the hardware structure of the equipment operation status monitoring and early warning system provided in an embodiment of the present application.

[0091] Among them, the image acquisition device 103 is used to acquire the real-time image of the main device, which can be a camera, a lidar, an infrared camera or a combination thereof. When in use, the image camera device is facing the main device to acquire the image of the main device, and then sends the acquired image to the processor.

[0092] The processor 101 is used to provide computing and control capabilities to control the equipment operation status monitoring and early warning system to perform corresponding tasks, for example, to control the equipment operation status monitoring and early warning system to perform the greenhouse gas observation equipment operation status monitoring and early warning method in any of the above-mentioned method embodiments, the method comprising: obtaining the greenhouse gas related parameters monitored by the main device to obtain a first current parameter; determining that the first current parameter is not within the numerical range of the related parameters historically monitored by the main device, starting the auxiliary device to perform temporary monitoring sampling to obtain a second current parameter; determining that the deviation rate of the second current parameter from the first current parameter is greater than or equal to a first preset deviation threshold, and the second current parameter is within the numerical range of the related parameters historically monitored by the main device, outputting a first early warning signal to the main device; obtaining a real-time image of the main device based on the first early warning signal; analyzing the real-time image to obtain fault information of the main device; and outputting a second early warning signal to the main device according to the fault information.

[0093] The processor 101 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), a hardware chip or any combination thereof; it may also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a programmable logic device (PLD) or a combination thereof. The above-mentioned PLD may be a complex programmable logic device (CPLD), a field-programmable gate array (FPGA), a generic array logic (GAL) or any combination thereof.

[0094] The memory 102 is a non-transient computer-readable storage medium that can be used to store non-transient software programs, non-transient computer executable programs and modules, such as program instructions / modules corresponding to the greenhouse gas observation equipment operation status monitoring and early warning method in the embodiment of the present application. The processor 101 can implement the greenhouse gas observation equipment operation status monitoring and early warning method in any of the above method embodiments by running the non-transient software programs, instructions and modules stored in the memory 102.

[0095] Specifically, the memory 102 may include a volatile memory (VM), such as a random access memory (RAM); the memory 102 may also include a non-volatile memory (NVM), such as a read-only memory (ROM), a flash memory, a hard disk drive (HDD) or a solid-state drive (SSD) or other non-transitory solid-state storage device; the memory 102 may also include a combination of the above types of memory.

[0096] To sum up, the equipment operation status monitoring and early warning system of the present application adopts the technical solution of any one of the above-mentioned greenhouse gas observation equipment operation status monitoring and early warning method embodiments, and therefore, it has at least the beneficial effects brought by the technical solutions of the above-mentioned embodiments, which will not be described one by one here.

[0097] The embodiment of the present application also provides a computer-readable storage medium, such as a memory including a program code, and the program code can be executed by a processor to complete the greenhouse gas observation equipment operation status monitoring and early warning method in the above embodiment. For example, the computer-readable storage medium can be a read-only memory (ROM), a random access memory (RAM), a compact disc read-only memory (CDROM), a magnetic tape, a floppy disk, and an optical data storage device.

[0098] The present application also provides a computer program product, which includes one or more program codes stored in a computer-readable storage medium. The processor of the electronic device reads the program code from the computer-readable storage medium, and the processor executes the program code to complete the steps of the greenhouse gas observation device operation status monitoring and early warning method provided in the above embodiment.

[0099] A person skilled in the art will appreciate that all or part of the steps for implementing the above embodiments may be accomplished by hardware or by hardware associated with a program code, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a disk or an optical disk, etc.

[0100] It should be noted that the device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0101] Through the description of the above embodiments, it can be clearly understood by those skilled in the art that each embodiment can be implemented by means of software plus a general hardware platform, or by hardware. It can be understood by those skilled in the art that all or part of the processes in the above embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above methods. Among them, the storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.

[0102] The above description is only a preferred embodiment of the present invention, and does not limit the patent scope of the present invention. All equivalent structural changes made by using the contents of the present invention specification and drawings under the inventive concept of the present invention, or directly / indirectly applied in other related technical fields are included in the patent protection scope of the present invention.

Claims

1. A greenhouse gas observation equipment operation status monitoring and early warning method, applied to a greenhouse gas observation equipment operation status monitoring and early warning system, wherein the greenhouse gas observation equipment is used to perform intelligent monitoring of greenhouse gases, and comprises a main device and an auxiliary device, and when performing intelligent monitoring of greenhouse gases, the main device is in a working state, and the auxiliary device is in a standby state, characterized in that: The method comprises: Acquire greenhouse gas related parameters monitored by the master device to obtain a first current parameter; Determining that the first current parameter is not within the value range of the relevant parameter historically monitored by the main device, and starting the auxiliary device to perform temporary monitoring sampling to obtain a second current parameter; Determine that the deviation rate between the second current parameter and the first current parameter is greater than or equal to a first preset deviation threshold, and the second current parameter is within the numerical range of the relevant parameter historically monitored by the master device, and output a first warning signal to the master device; Acquire a real-time image of the master device based on the first warning signal; Analyzing the real-time image to obtain fault information of the main device; A second warning signal is output to the master device according to the fault information.

2. The greenhouse gas observation equipment operation status monitoring and early warning method according to claim 1, characterized in that: The determining that the first current parameter is not within a numerical range of a related parameter historically monitored by the master device includes: It is determined that the first current parameters collected continuously for a preset time period are not between the lowest value and the highest value of the relevant parameters historically monitored by the master device.

3. The greenhouse gas observation equipment operation status monitoring and early warning method according to claim 1, characterized in that: The real-time image includes a real-time thermal image, and analyzing the real-time image to obtain the fault information of the main device includes: Analyzing the real-time thermal image to obtain fever data; It is determined that the heating data is abnormal, and fault information indicating that the main device has an overheating fault is obtained.

4. The greenhouse gas observation equipment operation status monitoring and early warning method according to claim 3, characterized in that: The fever data includes the fever areas of different fever degree regions and their corresponding fever degrees; and determining that the fever data is abnormal includes: Based on the heating areas S1, S2 ...Sn and their corresponding heating levels A1, A2 ...An, an overheating failure probability P is obtained; Determine that the overheating failure probability is greater than or equal to a preset failure rate threshold, and determine that the heating data is abnormal; wherein the overheating failure probability satisfies the following expression: +P 01 ( ≤S0), +P 02 ( >S0), P 01 is the correction value of the overheating fault probability when the heating area is less than or equal to the preset area threshold, P 01 The value of P is related to the ambient temperature. When the ambient temperature is higher than the set value, 01 is a negative value, between (-10%, -5%), when When the ambient temperature is lower than the set value, P 01 is a positive value, between (0%, 5%); P 02 is the correction value of the overheating fault probability when the heating area is greater than the preset area threshold. The value of P02 is related to the heating state of the main board of the main device. When the main board of the main device is under normal conditions and the heating is serious, P 02 It is a negative value, between (-10%, -5%). When the main device motherboard is in normal state and the heating is not serious, P 02 is a positive value between (0%, 5%); i is the sequence number of different heating degree areas, Si is the corresponding heating area of ​​different heating degree areas, S0 is the preset area threshold, S is the total area of ​​the main equipment, and B is the control parameter of the overheating failure probability P.

5. The greenhouse gas observation equipment operation status monitoring and early warning method according to claim 1, characterized in that: The real-time image includes a real-time grayscale image, and analyzing the real-time image to obtain the fault information of the main device includes: Performing smoke feature recognition on the real-time grayscale image to obtain smoke data; It is determined that the smoke data is abnormal, and fault information indicating that the main device has a burnout fault is obtained.

6. The greenhouse gas observation equipment operation status monitoring and early warning method according to claim 5, characterized in that: The smoke data includes the smoke area and the smoke area change, and the determining that the smoke data is abnormal includes: It is determined that the smoke area is greater than or equal to a first preset value and the smoke area change is greater than or equal to a second preset value, and it is determined that the smoke data is abnormal.

7. The greenhouse gas observation equipment operation status monitoring and early warning method according to claim 1, characterized in that: After the step of outputting the first warning signal to the master device, the method further includes: Turn off the main device, use the auxiliary device as the main device to perform intelligent monitoring of greenhouse gases, and output a reminder warning signal for configuring the auxiliary device; and / or, After the step of outputting the second warning signal to the master device, the method further includes: The main device is shut down, and a warning signal is outputted to remind the main device to perform emergency treatment.

8. The greenhouse gas observation equipment operation status monitoring and early warning method according to claim 1, characterized in that: Before the step of outputting the first warning signal to the master device, the method further includes: restarting the master device to reacquire greenhouse gas related parameters to obtain a third current parameter; Determine that a deviation rate between the third current parameter and the first current parameter is less than or equal to a second preset deviation threshold, and output a first warning signal to the master device.

9. The greenhouse gas observation equipment operation status monitoring and early warning method according to claim 1, characterized in that: After the auxiliary device is started to perform temporary monitoring sampling to obtain the second current parameter, the method further includes: Determine that the deviation rate between the second current parameter and the first current parameter is less than a first preset deviation threshold, and the second current parameter is not within the numerical range of the relevant parameters historically monitored by the main device, output a third warning signal to the main device, and the third warning signal is used to characterize that the main device detects an abnormality in the greenhouse gas parameters under normal conditions.

10. A greenhouse gas observation equipment operation status monitoring and early warning system, characterized in that: include: An image acquisition device, a processor and a memory; wherein the image acquisition device is used to acquire a real-time image of a main device, the memory is used to store program codes, and the processor is used to call the program codes to execute the method according to any one of claims 1 to 9.

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