Response state monitoring method and device based on low-code platform, equipment and medium

Abstract

The invention relates to a response state monitoring method and device based on a low-code platform, equipment and a medium. The response state monitoring method based on the low-code platform comprises the following steps: performing data analysis processing based on response data of the low-code platform to obtain a corresponding response value; judging the response state of the low-code platform according to the response value; under the condition that the response state is abnormal, influence analysis processing is carried out based on operation load data of the low-code platform and the response data, and the corresponding influence degree is obtained; the response value is corrected according to the influence degree, and the response state of the low-code platform is judged according to the obtained corrected response value. According to the embodiment of the invention, the accuracy of response monitoring identification of the low-code platform can be improved, and the response abnormity of the low-code platform can be monitored in time.

Description

Technical Field

[0001] The present disclosure relates to the technical field of water resource management, and in particular to a response status monitoring method, device, equipment and medium based on a low-code platform. Background Art

[0002] The prior art collects the operating data and response time of the low-code platform to analyze whether the response of the low-code platform is delayed. However, the disadvantage is that in the response monitoring of the low-code platform, the low-code response monitoring will be affected by a variety of operating environments, resulting in low accuracy of the response monitoring of the low-code platform. For example, the response time of the low-code platform will be different under different loads. If the influence of the operating environment such as the operating load is not taken into account, it will lead to misjudgment of the response monitoring of the low-code platform. Summary of the invention

[0003] In order to solve the above technical problems, the present disclosure provides a response status monitoring method, device, equipment and medium based on a low-code platform.

[0004] In a first aspect, the present disclosure provides a response status monitoring method based on a low-code platform, comprising:

[0005] Perform data analysis and processing based on the response data of the low-code platform to obtain the corresponding response value;

[0006] Determining a response status of the low-code platform according to the response value;

[0007] In the case where the response status is abnormal, an impact analysis process is performed based on the operation load data of the low-code platform and the response data to obtain a corresponding impact degree;

[0008] The response value is corrected according to the degree of impact, and the response status of the low-code platform is determined based on the corrected response value obtained.

[0009] In a second aspect, the present disclosure provides a response status monitoring device based on a low-code platform, comprising:

[0010] The first processing module is used to perform data analysis and processing based on the response data of the low-code platform to obtain a corresponding response value;

[0011] A status judgment module, used to judge the response status of the low-code platform according to the response value;

[0012] A second processing module is used to perform impact analysis based on the operation load data of the low-code platform and the response data to obtain a corresponding impact degree when the response state is abnormal;

[0013] The third processing module is used to correct the response value according to the degree of impact, and determine the response status of the low-code platform based on the corrected response value obtained.

[0014] In a third aspect, the present disclosure provides a response status monitoring device based on a low-code platform, including:

[0015] processor;

[0016] A memory for storing executable instructions;

[0017] Among them, the processor is used to read executable instructions from the memory and execute the executable instructions to implement the response status monitoring method based on the low-code platform of the first aspect.

[0018] In a fourth aspect, the present disclosure provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the processor implements the response status monitoring method based on a low-code platform of the first aspect.

[0019] Compared with the prior art, the technical solution provided by the embodiments of the present disclosure has the following advantages:

[0020] The response status monitoring method based on the low-code platform of the disclosed embodiment can perform data analysis based on the response data of the low-code platform to obtain the corresponding response value, and then judge the response status of the low-code platform according to the response value. Then, in the case of abnormal response status, the response status is analyzed based on the running load data of the low-code platform and the response data to obtain the corresponding impact degree. Finally, the response value is corrected according to the impact degree, and the response status of the low-code platform is judged according to the corrected response value. Thus, the response status of the low-code platform is judged according to the response value, and in the case of abnormal response, the corresponding impact degree is corrected by running load analysis, and the low-code platform is finally judged, which is conducive to improving the accuracy of response monitoring and identification of the low-code platform, and is conducive to timely monitoring of response anomalies of the low-code platform. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and the originals and elements are not necessarily drawn to scale.

[0022] Figure 1 A flowchart of a response status monitoring method based on a low-code platform provided in an embodiment of the present disclosure;

[0023] Figure 2 A flowchart of another response status monitoring method based on a low-code platform provided in an embodiment of the present disclosure;

[0024] Figure 3 A flowchart of another response status monitoring method based on a low-code platform provided in an embodiment of the present disclosure;

[0025] Figure 4 A schematic diagram of the structure of a response status monitoring device based on a low-code platform provided in an embodiment of the present disclosure;

[0026] Figure 5 A structural schematic diagram of a response status monitoring device based on a low-code platform provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0027] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments described herein, which are instead provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0028] It should be understood that the various steps described in the method implementation of the present disclosure can be performed in different orders and / or performed in parallel. In addition, the method implementation may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this respect.

[0029] The term "including" and its variations used herein are open inclusions, i.e., "including but not limited to". The term "based on" means "based at least in part on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". The relevant definitions of other terms will be given in the following description.

[0030] It should be noted that the concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0031] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0032] The names of the messages or information exchanged between the multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0033] In order to solve the above problems, the embodiments of the present disclosure provide a response status monitoring method, device, equipment and medium based on a low-code platform. Figure 1-Figure 3 The response status monitoring method based on the low-code platform provided in an embodiment of the present disclosure is described in detail.

[0034] Figure 1 A flow chart of a response status monitoring method based on a low-code platform provided in an embodiment of the present disclosure is shown.

[0035] In an embodiment of the present disclosure, the response status monitoring method based on the low-code platform can be executed by an electronic device. The electronic device may include but is not limited to devices such as computer devices, cloud servers, or cloud server clusters.

[0036] like Figure 1 As shown, the response status monitoring method based on the low-code platform may include the following steps.

[0037] S110. Perform data analysis and processing based on the response data of the low-code platform to obtain corresponding response values.

[0038] In an embodiment of the present disclosure, the electronic device can perform data analysis and processing based on the response data of the low-code platform to obtain a corresponding response value.

[0039] Optionally, a low-code platform is a software development tool that quickly builds applications by minimizing manual coding. Among them, the low-code platform is mainly used to quickly respond to users' application needs and assist users to complete work tasks more efficiently and conveniently. For example: JNPF low-code platform, the core technology uses Spring Boot, Spring CloudAlibaba, Mybatis Plus, RocketMQ, MinIO and other main frameworks and middleware, uses Nacos registration and configuration center, integrates traffic guard Sentinel, and the front end is customized and developed based on the vue-element-admin framework. It is committed to helping developers quickly build cloud business applications or develop complex enterprise application systems through tools such as visual data modeling, process modeling, form modeling, and report modeling.

[0040] Optionally, the response data is the result returned after the request is sent and processed by the server.

[0041] Alternatively, the response value refers to the size of the signal given by a component when it passes through a detector.

[0042] Specifically, the electronic device can perform data analysis and processing based on the response data of the low-code platform to obtain a corresponding response value.

[0043] S120. Determine the response status of the low-code platform according to the response value.

[0044] In an embodiment of the present disclosure, the electronic device can determine the response status of the low-code platform based on the response value.

[0045] Among them, the response value can represent the response status of the low-code platform during the analysis cycle.

[0046] Optionally, the response status can be used to characterize the response performance of the low-code platform. For example, the response status can characterize whether the low-code platform is normal or abnormal.

[0047] Specifically, the electronic device can judge the response status of the low-code platform based on the response value, that is, judge the response performance of the low-code platform within the analysis cycle based on the response value. This helps users or developers to monitor the response anomalies of the low-code platform in a timely manner, facilitates timely maintenance and repair of the low-code platform, and ensures the user experience of users or developers.

[0048] S130. When the response status is abnormal, an impact analysis is performed based on the operation load data of the low-code platform and the response data to obtain a corresponding degree of impact.

[0049] In an embodiment of the present disclosure, when the response status is abnormal, the electronic device can perform impact analysis based on the operation load data of the low-code platform and the response data to obtain the corresponding impact degree.

[0050] Optionally, the operating load data refers to the load information borne by the machine or system during operation, mainly including data on CPU, memory, network, hard disk, etc.

[0051] Specifically, after the electronic device determines the response status of the low-code platform, if the response status is abnormal, it performs impact analysis based on the operating load data of the low-code platform and the response data to obtain the degree of impact on the low-code platform.

[0052] S140. Correct the response value according to the degree of impact, and determine the response status of the low-code platform based on the corrected response value.

[0053] In the embodiment of the present disclosure, the electronic device may correct the response value according to the degree of impact, and determine the response status of the low-code platform according to the obtained corrected response value.

[0054] Specifically, the electronic device can correct the response value according to the degree of impact to obtain a corrected response value, and make a final judgment on the response status of the low-code platform based on the corrected response value.

[0055] Therefore, in the disclosed embodiments, it is possible to perform data analysis based on the response data of the low-code platform to obtain a corresponding response value, and then judge the response status of the low-code platform based on the response value. Then, in the case where the response status is abnormal, an impact analysis is performed based on the running load data of the low-code platform and the response data to obtain a corresponding degree of impact. Finally, the response value is corrected according to the degree of impact, and the response status of the low-code platform is judged based on the corrected response value obtained. Thus, the response status of the low-code platform is judged based on the response value, and in the case of an abnormal response, the corresponding degree of impact is obtained by running load analysis for correction processing, and a final judgment is made on the low-code platform, which is conducive to improving the accuracy of response monitoring and identification of the low-code platform, and is conducive to timely monitoring of response anomalies of the low-code platform.

[0056] Optionally, the response data may include a response time.

[0057] Figure 2 A flow chart of another response status monitoring method based on a low-code platform provided in an embodiment of the present disclosure is shown.

[0058] like Figure 2 As shown, the response status monitoring method based on the low-code platform may include the following steps.

[0059] S210. Obtain the response time of each response of the low-code platform through the operation log of the low-code platform.

[0060] In an embodiment of the present disclosure, the electronic device can obtain the response time of each response of the low-code platform through the operation log of the low-code platform.

[0061] Specifically, the electronic device can search the operation log of the low-code platform and read the response time of each response of the low-code platform from the operation log.

[0062] S220. Perform fluctuation analysis and delay analysis on the low-code platform within the analysis period based on the response time to obtain the response value.

[0063] In an embodiment of the present disclosure, the electronic device may perform fluctuation analysis and delay analysis on the low-code platform within an analysis period based on the response time to obtain the response value.

[0064] Specifically, after reading the response time, the electronic device performs fluctuation analysis and delay analysis on the low-code platform based on the response time within the analysis period, that is, determines the abnormal response fluctuation and response delay of the low-code platform.

[0065] Optionally, the response status monitoring method based on the low-code platform may also include: based on the response time, performing statistical analysis on the number of responses through the time deviation of a single response, and obtaining a performance value of the number of abnormal responses within the analysis period.

[0066] Specifically, after obtaining the response time, the electronic device performs statistical analysis on the number of responses based on the response time and through the time deviation of a single response, thereby obtaining a performance value of the number of abnormal responses within the analysis period.

[0067] Optionally, the response status monitoring method based on the low-code platform may also include: based on the response time, obtaining a response delay performance value by analyzing the average response time delay of the low-code platform during the analysis period.

[0068] Specifically, after obtaining the response time, the electronic device analyzes the average response time delay of the low-code platform within the analysis period based on the response time, thereby obtaining a performance value of the number of abnormal responses within the analysis period.

[0069] Optionally, the response status monitoring method based on the low-code platform may further include: performing processing according to the abnormal response number performance value and the response delay performance value to obtain the response value. The response value represents the response status of the low-code platform within the analysis cycle.

[0070] Optionally, S130 may specifically include: when the response status is abnormal, obtaining the operation load data of the low-code platform during operation through the operation log; and obtaining the corresponding impact degree by combining and analyzing the operation load data and the response time.

[0071] Figure 3 A flow chart of another response status monitoring method based on a low-code platform provided in an embodiment of the present disclosure is shown.

[0072] like Figure 3 As shown, the response status monitoring method based on the low-code platform may include the following steps.

[0073] S310. When the response status is abnormal, the operation load data of the low-code platform during operation is obtained through the operation log.

[0074] In an embodiment of the present disclosure, when the response status is abnormal, the operation load data of the low-code platform during operation is obtained through the operation log.

[0075] Specifically, the electronic device can determine the response status of the low-code platform. If the response status is abnormal, it can search the operation log to obtain the operation load data of the low-code platform during operation.

[0076] S320: derive a corresponding degree of impact by combining and analyzing the operating load data and the response time.

[0077] In the disclosed embodiment, the electronic device may perform a combined analysis of the operating load data and the response time to obtain a corresponding degree of impact.

[0078] Optionally, S320 may specifically include: constructing an operation change curve and a response change curve respectively through the operation load data and the response time; analyzing the synchronous change relationship between the sub-curves of different operation change curves and the sub-curves of different response change curves to obtain synchronous change values; and obtaining the degree of influence according to the synchronous change values.

[0079] In the embodiment of the present disclosure, the electronic device can construct an operation change curve and a response change curve respectively according to the operation load data and the response time.

[0080] Specifically, the electronic device can construct an operation change curve through operation load data, and construct a response change curve through response time, and convert the monitoring and identification of whether the operation load will affect the response time into a curve change synchronization dimension for analysis.

[0081] Furthermore, the electronic device may analyze the synchronous change relationship between the sub-curves of different operation change curves and the sub-curves of different response change curves to obtain a synchronous change value, and obtain the influence degree according to the synchronous change value.

[0082] Specifically, the electronic device can divide the operation change curve into several operation change sub-curves according to the time period, and similarly, divide the response change curve into several response change sub-curves. By performing slope analysis on the operation change sub-curves and the response change sub-curves in the same time period, the change same direction value (reflecting the same direction of change of the operation load and the response time) and the change synchronization value (reflecting the synchronization of change of the operation load and the response time) are obtained, and the impact value is obtained according to the change same direction value and the change synchronization value.

[0083] In this way, the response impact analysis of the low-code platform is realized, which is conducive to identifying and locating the response impact of the low-code platform, facilitating the judgment of the accuracy of response monitoring and the implementation optimization of low-code platform response monitoring.

[0084] In an embodiment of the present disclosure, the response data of its low-code platform is analyzed, wherein the response data includes the response time, and a response value is obtained based on the analysis and processing, and the response status of its low-code platform is judged according to the response value; if the response status is abnormal, the operation data (operation load) of the low-code platform is obtained, and the influence of its operation load on the response status of its low-code platform is judged by combining the operation data and the response data and performing synchronous analysis, and if it is affected, its response value is corrected according to the influence, and the response status of its low-code platform is finally judged by the corrected response value. The present invention is conducive to improving the accuracy of response monitoring and identification of the low-code platform, and is conducive to timely monitoring of response anomalies of the low-code platform, and analyzing the impact on the response monitoring of its low-code platform, so as to facilitate the optimization design of subsequent response monitoring.

[0085] Figure 4 A structural schematic diagram of a response status monitoring device based on a low-code platform provided in an embodiment of the present disclosure is shown.

[0086] like Figure 4 As shown, the response status monitoring device 400 based on the low-code platform may include a first processing module 410, a status judgment module 420, a second processing module 430 and a third processing module 440.

[0087] The first processing module 410 can be used to perform data analysis and processing based on the response data of the low-code platform to obtain corresponding response values.

[0088] The status judgment module 420 can be used to judge the response status of the low-code platform according to the response value.

[0089] The second processing module 430 can be used to perform impact analysis based on the operation load data of the low-code platform and the response data to obtain the corresponding impact degree when the response status is abnormal.

[0090] The third processing module 440 can be used to correct the response value according to the degree of impact, and determine the response status of the low-code platform based on the obtained corrected response value.

[0091] Therefore, in the disclosed embodiments, it is possible to perform data analysis based on the response data of the low-code platform to obtain a corresponding response value, and then judge the response status of the low-code platform based on the response value. Then, in the case where the response status is abnormal, an impact analysis is performed based on the running load data of the low-code platform and the response data to obtain a corresponding degree of impact. Finally, the response value is corrected according to the degree of impact, and the response status of the low-code platform is judged based on the corrected response value obtained. Thus, the response status of the low-code platform is judged based on the response value, and in the case of an abnormal response, the corresponding degree of impact is obtained by running load analysis for correction processing, and a final judgment is made on the low-code platform, which is conducive to improving the accuracy of response monitoring and identification of the low-code platform, and is conducive to timely monitoring of response anomalies of the low-code platform.

[0092] In some embodiments of the present disclosure, the response data includes response time.

[0093] In some embodiments of the present disclosure, the first processing module 410 may specifically include a first acquisition unit and a first processing unit.

[0094] The first acquisition unit can be used to obtain the response time of each response of the low-code platform through the operation log of the low-code platform.

[0095] The first processing unit can be used to perform fluctuation analysis and delay analysis on the low-code platform within an analysis period based on the response time to obtain the response value.

[0096] In some embodiments of the present disclosure, the first processing module 410 may further specifically include a second processing unit.

[0097] The second processing unit can be used to perform statistical analysis on the number of responses based on the response time and through the time deviation of a single response to obtain a performance value of the number of abnormal responses within the analysis period.

[0098] In some embodiments of the present disclosure, the first processing module 410 may further specifically include a third processing unit.

[0099] The third processing unit can be used to obtain a response delay performance value based on the response time by analyzing the average response time delay of the low-code platform during the analysis period.

[0100] In some embodiments of the present disclosure, the first processing module 410 may further specifically include a fourth processing unit.

[0101] The fourth processing unit may be configured to perform processing according to the abnormal response number performance value and the response delay performance value to obtain the response value.

[0102] In some embodiments of the present disclosure, the second processing module 430 may specifically include a second acquisition unit and a fifth processing unit.

[0103] The second acquisition unit can be used to obtain the operation load data of the low-code platform during operation through the operation log when the response status is abnormal.

[0104] The fifth processing unit may be used to perform a combined analysis of the operating load data and the response time to obtain a corresponding degree of impact.

[0105] In some embodiments of the present disclosure, the second processing module 430 may further specifically include a curve construction unit, a sixth processing unit, and a seventh processing unit.

[0106] The curve construction unit may be used to respectively construct an operation variation curve and a response variation curve according to the operation load data and the response time.

[0107] The sixth processing unit may be used to analyze the synchronous change relationship between the sub-curves of different operation change curves and the sub-curves of different response change curves to obtain a synchronous change value.

[0108] The seventh processing unit may be configured to obtain the influence degree according to the synchronization change value.

[0109] It should be noted that Figure 4 The response status monitoring device 400 shown based on the low-code platform can execute Figure 1-Figure 3 The various steps in the method embodiment shown in the figure are implemented Figure 1-Figure 3 The various processes and effects in the method embodiment shown are not described in detail here.

[0110] Figure 5 A structural schematic diagram of a response status monitoring device based on a low-code platform provided in an embodiment of the present disclosure is shown.

[0111] In some embodiments of the present disclosure, Figure 5 The response status monitoring device based on the low-code platform shown can be an electronic device. Specifically, the electronic device can include but is not limited to devices such as computer devices, cloud servers or cloud server clusters.

[0112] like Figure 5 As shown, the response status monitoring device based on the low-code platform may include a processor 501 and a memory 502 storing computer program instructions.

[0113] Specifically, the processor 501 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.

[0114] The memory 502 may include a large capacity memory for information or instructions. By way of example and not limitation, the memory 502 may include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a tape, or a universal serial bus (USB) drive or a combination of two or more of these. Where appropriate, the memory 502 may include a removable or non-removable (or fixed) medium. Where appropriate, the memory 502 may be inside or outside the integrated gateway device. In a particular embodiment, the memory 502 is a non-volatile solid-state memory. In a particular embodiment, the memory 502 includes a read-only memory (ROM). Where appropriate, the ROM may be a mask-programmed ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (Electrically Erasable Programmable ROM, EEPROM), an electrically rewritable ROM (EAROM) or a flash memory, or a combination of two or more of these.

[0115] The processor 501 reads and executes the computer program instructions stored in the memory 502 to perform the steps of the response status monitoring method based on the low-code platform provided in the embodiment of the present disclosure.

[0116] In one example, the response status monitoring device based on the low-code platform may further include a transceiver 503 and a bus 504. Figure 5 As shown, the processor 501, the memory 502 and the transceiver 503 are connected via a bus 504 and communicate with each other.

[0117] The bus 504 includes hardware, software, or both. For example, but not limitation, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Extended Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hyper Transport (HT) interconnect, an Industrial Standard Architecture (ISA) bus, an InfiniBand interconnect, a Low Pin Count (LPC) bus, a memory bus, a MicroChannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local Bus (VLB) bus, or other suitable buses or a combination of two or more of these. Where appropriate, the bus 504 may include one or more buses. Although embodiments of the present application describe and illustrate a particular bus, the present application contemplates any suitable bus or interconnect.

[0118] An embodiment of the present disclosure also provides a computer-readable storage medium, which can store a computer program. When the computer program is executed by a processor, the processor implements the response status monitoring method based on a low-code platform provided by an embodiment of the present disclosure.

[0119] The above-mentioned storage medium may, for example, include a memory 502 of computer program instructions, and the above-mentioned instructions may be executed by a processor 501 of a response status monitoring device based on a low-code platform to complete the response status monitoring method based on a low-code platform provided in an embodiment of the present disclosure. Optionally, the storage medium may be a non-temporary computer-readable storage medium, for example, a non-temporary computer-readable storage medium may be a ROM, a random access memory (Random Access Memory, RAM), a compact disc read-only memory (Compact Disc ROM, CD-ROM), a magnetic tape, a floppy disk, and an optical data storage device, etc.

[0120] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the term "comprising" is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0121] The above description is only a specific embodiment of the present disclosure, so that those skilled in the art can understand or implement the present disclosure. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure will not be limited to the embodiments described herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A response status monitoring method based on a low-code platform, characterized in that: include: Perform data analysis and processing based on the response data of the low-code platform to obtain the corresponding response value; Determining a response status of the low-code platform according to the response value; In the case where the response status is abnormal, an impact analysis process is performed based on the operation load data of the low-code platform and the response data to obtain a corresponding impact degree; The response value is corrected according to the degree of impact, and the response status of the low-code platform is determined based on the corrected response value obtained.

2. The method according to claim 1, characterized in that The response data includes response time; Among them, data analysis and processing are performed based on the response data of the low-code platform to obtain corresponding response values, including: Obtain the response time of each response of the low-code platform through the operation log of the low-code platform; Based on the response time, fluctuation analysis and delay analysis are performed on the low-code platform within the analysis period to obtain the response value.

3. The method according to claim 2, characterized in that The method further comprises: Based on the response time, the number of responses is statistically analyzed through the time deviation of a single response to obtain a performance value of the number of abnormal responses within the analysis period.

4. The method according to claim 3, characterized in that: The method further comprises: Based on the response time, a response delay performance value is obtained by analyzing the average response time delay of the low-code platform during the analysis period.

5. The method according to claim 4, characterized in that The method further comprises: The response value is obtained by processing according to the abnormal response number performance value and the response delay performance value.

6. The method according to claim 1, characterized in that In the case where the response state is abnormal, an impact analysis process is performed based on the operation load data of the low-code platform and the response data to obtain a corresponding impact degree, including: In the case where the response status is abnormal, the operation load data of the low-code platform at runtime is obtained through the operation log; The corresponding impact degree is obtained by combining and analyzing the operating load data and the response time.

7. The method according to claim 6, characterized in that The combined analysis of the operating load data and the response time to obtain the corresponding impact degree includes: Constructing an operation variation curve and a response variation curve respectively through the operation load data and the response time; Analyze the synchronous change relationship between the sub-curves of different operation change curves and the sub-curves of different response change curves to obtain the synchronous change value; The impact degree is obtained according to the synchronous change value.

8. A response status monitoring device based on a low-code platform, characterized in that: include: The first processing module is used to perform data analysis and processing based on the response data of the low-code platform to obtain a corresponding response value; A status judgment module, used to judge the response status of the low-code platform according to the response value; A second processing module is used to perform impact analysis based on the operation load data of the low-code platform and the response data to obtain a corresponding impact degree when the response state is abnormal; The third processing module is used to correct the response value according to the degree of impact, and determine the response status of the low-code platform based on the corrected response value obtained.

9. A response status monitoring device based on a low-code platform, characterized in that: include: processor; A memory for storing executable instructions; Wherein, the processor is used to read the executable instructions from the memory and execute the executable instructions to implement the response status monitoring method based on the low-code platform as described in any one of claims 1-5 above.

10. A non-volatile computer-readable storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by the processor, the processor implements the response status monitoring method based on the low-code platform as described in any one of claims 1 to 5.

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