CN111832865A - Method, device and computer equipment for detecting quality of platform information dissemination - Google Patents

Abstract

The application relates to a method and a device for detecting platform information propagation quality, computer equipment and a storage medium. The method comprises the following steps: acquiring the current time of a detection system; if the current time is the execution time of a detection task preset in the detection system, acquiring target information issued on a target platform; the target platform is a platform related to the detection task; the target information is to-be-detected information set under the detection task; and evaluating the propagation quality of the target platform to the information to be detected according to the target information issued by the target platform and the standard content of the information to be detected stored in the detection system. By adopting the method, the timeliness of the detection work of the platform information propagation quality can be ensured, and the accuracy of the determined propagation quality can be improved.

Description

Method, device and computer equipment for detecting quality of platform information dissemination

technical field

The present application relates to the field of media technology, and in particular, to a method, device, computer equipment and storage medium for detecting the quality of platform information dissemination.

Background technique

With the development of media technology, most of the data can be quickly and widely disseminated, so that all kinds of users can get the required data more conveniently. Taking meteorological data as an example, the Meteorological Bureau encourages the media and units to disseminate weather forecasts, so that various meteorological data dissemination platforms can disseminate the meteorological data released by the Meteorological Bureau and related release information (such as the name of the meteorological station and release time, etc.), so that users can Know the weather conditions in various places more quickly, so as to make more reasonable arrangements for their travel and other plans. Since meteorological data and other dissemination data are updated quickly, only accurate, timely and standardized dissemination can ensure their contribution. Therefore, it is extremely important to test the dissemination quality such as the accuracy, timeliness and normativeness of dissemination data. important. The traditional scheme is usually to periodically conduct manual evaluation of the data disseminated by each dissemination platform to determine the dissemination quality of the corresponding dissemination data. However, the method of regular manual evaluation has the problem of poor real-time performance, which easily affects the accuracy of the determined dissemination quality.

SUMMARY OF THE INVENTION

Based on this, it is necessary to provide a high-accuracy detection method, device, computer equipment and storage medium for the quality of platform information dissemination in response to the above-mentioned technical problems.

A method for detecting the quality of platform information dissemination, the method comprising:

Get the current time of the detection system;

If the current time is the execution time of the detection task preset in the detection system, obtain the target information published on the target platform; the target platform is the platform associated with the detection task; the target information is the information to be detected set under the detection task;

According to the target information released by the target platform and the standard content of the information to be detected stored in the detection system, the dissemination quality of the information to be detected by the target platform is evaluated.

In one embodiment, before acquiring the current time of the detection system, the above method further includes:

Determine whether the detection task is triggered according to the release data read from the data release center;

If the detection task is triggered, the execution time of the detection task is set, and the data currently released by the data distribution center is set as the standard content of the information to be detected.

As an embodiment, the above-mentioned judging whether the detection task is triggered according to the published data read from the data publishing center includes:

If new data appears in the published data currently read from the data publishing center, and/or the set type of data is updated, a detection task is triggered.

As an embodiment, before judging whether the detection task is triggered according to the release data read from the data release center, the above method further includes:

Regularly read the published data from the data publishing center.

In one embodiment, the detection tasks described above may be associated with multiple platforms.

As an embodiment, after evaluating the dissemination quality of the information to be detected by the target platform according to the target information released by the target platform and the standard content of the information to be detected stored in the detection system, the above method further includes:

Get the time to assess the quality of the dissemination;

The target information, evaluation time and dissemination quality corresponding to each target platform are stored separately.

In one embodiment, the target platform is a weather forecast platform; the information to be detected is weather information.

A detection device for platform information dissemination quality, the device includes:

Get the current time of the detection system;

If the current time is the execution time of the detection task preset in the detection system, obtain the target information published on the target platform; the target platform is the platform associated with the detection task; the target information is the information to be detected set under the detection task;

According to the target information released by the target platform and the standard content of the information to be detected stored in the detection system, the dissemination quality of the information to be detected by the target platform is evaluated.

A computer device, comprising a memory, a processor and a computer program stored in the memory and running on the processor, the processor implements the following steps when executing the computer program:

Get the current time of the detection system;

If the current time is the execution time of the detection task preset in the detection system, obtain the target information published on the target platform; the target platform is the platform associated with the detection task; the target information is the information to be detected set under the detection task;

According to the target information released by the target platform and the standard content of the information to be detected stored in the detection system, the dissemination quality of the information to be detected by the target platform is evaluated.

A computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

Get the current time of the detection system;

If the current time is the execution time of the detection task preset in the detection system, obtain the target information published on the target platform; the target platform is the platform associated with the detection task; the target information is the information to be detected set under the detection task;

According to the target information released by the target platform and the standard content of the information to be detected stored in the detection system, the dissemination quality of the information to be detected by the target platform is evaluated.

The above-mentioned detection method, device, computer equipment and storage medium for the quality of information dissemination of the platform can obtain the current time of the detection system, and when the current time is the execution time of the detection task preset in the detection system, obtain the target information published on the target platform , based on the target information and the standard content stored in the detection system, to evaluate the dissemination quality of the information to be detected by the target platform. The above-mentioned detection process of the dissemination quality is based on the target information released by the target platform at the execution time, which can ensure the quality of the dissemination quality inspection work. Timeliness and improve the accuracy of test results.

Description of drawings

Fig. 1 is the application environment diagram of the detection method of platform information dissemination quality in one embodiment;

2 is a schematic flowchart of a method for detecting the quality of platform information dissemination in one embodiment;

Fig. 3 is the interface schematic diagram of detection task in one embodiment;

4 is a structural block diagram of an apparatus for detecting the quality of platform information dissemination in one embodiment;

FIG. 5 is a diagram of the internal structure of a computer device in one embodiment.

Detailed ways

In order to make the purpose, technical solutions and advantages of the present application more clearly understood, the present application will be described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.

Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor a separate or alternative embodiment that is mutually exclusive of other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

The method for detecting the quality of platform information dissemination provided by this application can be applied to the application environment shown in FIG. 1 . Among them, the detection system 104 can periodically read the release data released by the data release center 102 through the relevant data interface, so as to determine the standard content of the information to be detected when the detection task is triggered; in the process of platform information dissemination quality detection, detection The system 104 can obtain the local current time, and if the current time is the execution time of the preset detection task, obtain the target information published on the target platform, so as to evaluate the target platform to be detected information according to the target information transmitted by the target platform and the standard content. quality of dissemination to ensure the accuracy of the quality of the assessment determined. The data publishing center 102 may include a platform for publishing standard data, such as a meteorological bureau. The detection system 104 can be, but is not limited to, various personal computers, laptops, smartphones, and tablets.

In one embodiment, as shown in FIG. 2 , a method for detecting the quality of platform information dissemination is provided, and the method is applied to the detection system in FIG. 1 as an example to illustrate, including the following steps:

S210, obtain the current time of the detection system.

S230, if the current time is the execution time of the detection task preset in the detection system, obtain target information published on the target platform; the target platform is a platform associated with the detection task; and the target information is information to be detected set under the detection task.

The detection system can create detection tasks in advance by manually adding tasks, etc., and determine the platform (ie, target platform) associated with the detection task. The target information is the information to be detected released by the target platform at the execution time, which may include weather information and the like. The target platform is the weather forecast platform and other platforms that disseminate the data released by the corresponding data release center, such as 2345 Weather King, 360 Weather, Moji Weather, Weather Link, the most beautiful weather, and the almanac weather, etc. The form in which the target platform disseminates the target information may include web page display, APP (computer application program) display, and/or sound broadcast, and the like.

When the execution time arrives, the detection system can enter each target platform respectively, and obtain the target information published on the target platform by intercepting currently disseminated data, and/or grabbing data and broadcasting audio and video. For example, if the target platform is a weather forecast platform, and the corresponding target information is the weather information currently released by the weather forecast platform, the detection system can enter the weather forecast platform to intercept the weather forecast data, save the weather forecast audio, and/or save the weather forecast. Video and other forms to obtain the required target information.

S250: Evaluate the dissemination quality of the information to be detected by the target platform according to the target information published by the target platform and the standard content of the information to be detected stored in the detection system.

The detection system can evaluate the dissemination quality of the information to be detected by the target platform in terms of the integrity of the target information, the display format, and the consistency with the standard content. Detection tasks can be associated with one or more platforms. If the detection task is associated with multiple platforms, there are multiple target platforms. At this time, the detection system evaluates the dissemination quality of the information to be detected by each target platform according to the target information disseminated by each target platform and the corresponding standard content.

The above method for detecting the quality of platform information dissemination can obtain the current time of the detection system, and when the current time is the execution time of the detection task preset in the detection system, obtain the target information published on the target platform, so as to obtain the target information and the detection system according to the target information. The standard content stored in the target platform evaluates the dissemination quality of the information to be detected by the target platform. The above-mentioned dissemination quality inspection process is based on the target information released by the target platform at the execution time, which can ensure the timeliness of the dissemination quality inspection work and improve the accuracy of the inspection results. sex.

In one embodiment, before acquiring the current time of the detection system, the above method further includes:

Determine whether the detection task is triggered according to the release data read from the data release center;

If the detection task is triggered, the execution time of the detection task is set, and the data currently released by the data distribution center is set as the standard content of the information to be detected.

The above-mentioned data release center may include a platform that releases standard data such as the Meteorological Bureau. The detection system may read the release data from the data release center at regular intervals, and identify from the released data whether new data appears in the data currently released by the data release center. And/or whether the data of the set type is updated, if new data appears in the data currently published by the data publishing center, and/or the data of the set type is updated, a detection task is triggered. The above set type of data is one or more types of data that need to be monitored. The set type of data can be set according to specific data monitoring requirements, such as all data published by the data publishing center or certain types of specific data, etc. Specifically, the detection system can periodically read the data published by the data publishing center through the relevant data interface to determine whether the detection task is triggered.

The above execution time can be set after a certain period of time after the detection task is triggered, such as 10 minutes after the detection task is triggered, to reserve time for the target platform to publish the information to be detected, so as to ensure the reasonable transmission quality of the detection. sex.

In this embodiment, the detection task can be triggered according to the release data of the data release center, and the execution time can be set to reserve the data update event of the target platform. After the execution time is reached, the target information released on the target platform is obtained to determine each target. The data dissemination quality of the platform ensures the timeliness of the detection of the platform information dissemination quality, so that the basis for determining the dissemination quality is the target information released by each target platform at the execution time, which further improves the accuracy of the determined data dissemination quality.

As an embodiment, the above-mentioned judging whether the detection task is triggered according to the published data read from the data publishing center includes:

If new data appears in the published data currently read from the data publishing center, and/or the set type of data is updated, a detection task is triggered.

The above-mentioned newly added data is the newly added data of the current released data of the data release center relative to the last released data of the data release center, including the newly added early warning data and so on. The data of the above-mentioned set type is the data that needs to be monitored, and may include all data released by the data release center or a certain type of specific data, and so on.

Specifically, a detection task can be created in the detection system in advance, and the published data can be read from the data publishing center through the data interface regularly; if new data appears in the read published data, and/or the set type of data is updated, Then the detection task is triggered; after the detection task is triggered, the execution time is set, and when the execution time is reached, the target information published on the target platform is obtained to evaluate the communication quality corresponding to the target platform, and the target information and communication quality of the target platform are evaluated. and the corresponding evaluation time are stored for subsequent query. If the detection task is not triggered, the process of reading the published data from the data publishing center through the data interface at regular intervals can be returned to execute the process to monitor the published data of the data publishing center.

As an embodiment, before judging whether the detection task is triggered according to the release data read from the data release center, the above method further includes:

Regularly read the published data from the data publishing center.

In this embodiment, a timer can be set to read the published data from the data publishing center at regular intervals to determine whether the detection task is triggered. Specifically, the published data of a certain target area and a certain target period can be read from the data publishing center ( For example, read the meteorological data released by the meteorological station for area A within one hour), to judge whether the detection task has been triggered according to the released data of the target area and the target period. After the detection task is triggered, the detection target platform will target the The dissemination quality of the target data published during the target period. After determining that the detection task has not been triggered, the detection system can return to the process of periodically reading the published data from the data publishing center, and obtain the trigger status of the detection task in time.

Specifically, if the data release center is the Meteorological Bureau, the detection system periodically reads the released meteorological data from the Meteorological Bureau, and the interface for detecting the propagation quality of multiple meteorological forecast platforms can be referred to as shown in FIG. 3 . The interface shows the creation time of the detection task, the task status, the data monitoring type of early warning monitoring, the frequency of reading published data, the step size of collecting and publishing data, and the evaluation object. In the detection task corresponding to Figure 3, all When early warning data such as high temperature yellow warning appears in the read release data, the detection task is triggered, and various information such as the execution time of the detection task are set. When the execution time arrives, the target information released on the target platform is obtained and disseminated accordingly Quality inspection.

In one embodiment, the detection tasks described above may be associated with multiple platforms. At this point, the target platform is each platform associated with the detection task. The detection system detects the corresponding dissemination quality according to the target information released on each target platform.

As an embodiment, after evaluating the dissemination quality of the information to be detected by the target platform according to the target information released by the target platform and the standard content of the information to be detected stored in the detection system, the above method further includes:

Get the time to assess the quality of the dissemination;

The target information, evaluation time and dissemination quality corresponding to each target platform are stored separately.

The above target information may include information to be detected published on the corresponding target platform, such as information to be detected displayed through a web interface, information to be detected displayed through an APP interface, and/or information to be detected broadcasted by a corresponding client.

In this embodiment, target information, evaluation time, and dissemination quality of each target platform can be stored correspondingly, so as to archive each inspection task, which can ensure the integrity and order of the stored inspection tasks.

In one embodiment, the target platform is a weather forecast platform; the information to be detected is weather information.

In this embodiment, detection tasks can be set in advance, the weather release data can be read from the meteorological bureau at regular intervals, and the update status of the set type of data (such as the weather data of a certain place) and various types of weather warning information can be monitored from the weather release data. When certain types of data are updated and/or weather warning information appears, the detection task is triggered, and the execution time is set, so as to detect the dissemination quality of the information to be detected by each weather forecast platform at the execution time. The above-mentioned meteorological warning information may include various types of high temperature warnings, various types of high wind warnings and other meteorological warnings in the monitored area.

This embodiment can detect the dissemination quality of the meteorological data disseminated by the meteorological forecast platform, so as to supervise and correct the dissemination of the meteorological information, provide convenience for the public to obtain the meteorological forecast information, and ensure the accuracy of the meteorological forecast information known to the public. and normative.

If the information to be detected is meteorological information, when the meteorological station releases the weather forecast that needs to be executed, as an embodiment, the detection system can identify the platform information included in the target information, the release time of the meteorological data (the release time of the corresponding standard content), the weather forecast Content and meteorological forecast format; determine the integrity parameters according to the platform information and the release time of meteorological data, determine the consistency parameters according to the meteorological forecast content and the meteorological data currently released by the meteorological station, and determine the normative parameters according to the meteorological forecast format; The normative and normative parameters determine the dissemination quality of the weather forecast platform.

The above integrity parameters, consistency parameters and normative parameters can be represented by numerical values. For example, when the platform information is complete and the weather data release time is accurate, the integrity parameter can be set to 10; if the weather forecast content is the corresponding content released by the Meteorological Bureau When it is completely consistent, the consistency parameter can be set to 10. When the number of items in which the content of the weather forecast is inconsistent with the corresponding content issued by the Meteorological Bureau exceeds the set number of items (such as 8), the consistency parameter can be set to 0; the weather forecast format When it is completely consistent with the corresponding standard (such as "Public Weather Service Weather Graphical Symbols" (GB/T22164-2008)), the normative parameter can be set to 10, and the number of formats in which the weather forecast format is inconsistent with the corresponding standard exceeds the number of preset formats ( Such as 5), the normative parameter can be set to 0. Then, the integrity parameters, consistency parameters and normative parameters are calculated to determine the quality detection parameters of the weather forecast platform. If the quality detection parameters exceed the detection threshold, it can be determined that the information dissemination quality of the data platform has passed the detection. In an example, the above-mentioned calculation formula of the quality detection parameter may include: S=A1×20%+B1×50%+C1×30%; wherein, S represents the quality detection parameter, A1 represents the integrity parameter, and B1 represents the consistency parameter, C1 represents the normative parameter.

If the meteorological station issues meteorological warning information, as another embodiment, the detection system can also identify the initial release time of the target information, the weather forecast format and the number of elements to be propagated; according to the initial propagation time and the data release time corresponding to the data propagation event Determine the timeliness parameters, determine the integrity parameters according to the number of elements, and determine the normative parameters according to the meteorological forecast format; determine the data dissemination quality of the meteorological forecast platform according to the timeliness parameters, integrity parameters and normative parameters.

Specifically, the timeliness parameter is used to characterize the delay time of the object disseminating the meteorological disaster warning information (evaluate the difference between the time when the corresponding platform transmits the meteorological disaster warning information and the meteorological department releases the meteorological disaster warning information). The integrity parameter can be represented by the number of elements included in the dissemination of meteorological disaster warning information through the target platform. For example, each element contains 1 point. The complete dissemination of meteorological disaster warning should at least include the type, level, possible impact time and scope, and government related information. measures, the labeling of the issuing unit and the labeling of the release time; the complete dissemination of a meteorological disaster warning signal should at least include the warning name, icon, degree of possible impact and time (scope), defense guidelines, labeling of the issuing unit, and time of release and other elements. Normative parameters can characterize the degree of normativeness of the integrity of the meteorological disaster warning information disseminated through the target platform, for example, the warning name (or type), icon (or level), possible impact time and scope, and defensive measures of the meteorological disaster warning information transmitted by the evaluation object can be recorded. The normative scores for (or guidelines), publishing unit labeling, and publishing time labeling are c1, c2, c3, c4, c5, and c6, respectively, and the full score for each element can be 100 points. Among them, except for c4, that is, defensive measures (or guidelines), which focus on the scientific rationality of the inspection, which is 100 points, no points will be scored. After determining the above-mentioned timeliness parameters, integrity parameters and normative parameters, the above-mentioned timeliness parameters, integrity parameters and normative parameters can be calculated respectively to determine the quality detection parameters of the weather forecast platform. If the quality detection parameters exceed If the detection threshold is set, it can be determined that the quality of the information dissemination of the data platform has passed the detection. The above detection threshold can be set according to the specific detection precision. In an example, the above-mentioned calculation formula of the quality detection parameter may include: S=A2×20%+B2×50%+C2×30%; wherein, S represents the quality detection parameter, A2 represents the timeliness parameter, and B2 represents the integrity parameter, C2 represents the normative parameter.

When the automatic monitoring and detection technology is adopted in this embodiment to regularly evaluate the quality of meteorological information service, the problems existing in manual collection of information can be solved to the greatest extent: in terms of accuracy, since the program can perform collection tasks for a long time and frequently, Therefore, compared with manual collection, the use of automatic monitoring and detection technology can avoid accidental errors to the greatest extent. In terms of timeliness, compared with manual operations, the program is tireless and can wait for the appearance of target information for a long time. For example, when some early warning information is released at the first time, the automatic monitoring and evaluation system can be used in a very short time. Relevant information is captured within the system, and detection tasks are performed to achieve timely and effective monitoring and detection. The timeliness of time is much higher than that of manual collection, and it meets the expectations of meteorological information service quality monitoring and evaluation business needs.

It should be understood that although the various steps in the flowchart of FIG. 2 are shown in sequence according to the arrows, these steps are not necessarily executed in the sequence shown by the arrows. Unless explicitly stated herein, the execution of these steps is not strictly limited to the order, and these steps may be performed in other orders. Moreover, at least a part of the steps in FIG. 2 may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed and completed at the same time, but may be executed at different times. The execution of these sub-steps or stages The sequence is also not necessarily sequential, but may be performed alternately or alternately with other steps or sub-steps of other steps or at least a portion of a phase.

In one embodiment, as shown in FIG. 4 , an apparatus for detecting the quality of platform information dissemination is provided, including: a first acquisition module 210, a second acquisition module 230 and an evaluation module 250, wherein:

The first acquisition module 210 is used to acquire the current time of the detection system;

The second obtaining module 230 is configured to obtain the target information published on the target platform if the current time is the execution time of the detection task preset in the detection system; the target platform is the platform associated with the detection task; the target information is set under the detection task information to be detected;

The evaluation module 250 is used for evaluating the dissemination quality of the information to be detected by the target platform according to the target information released by the target platform and the standard content of the information to be detected stored in the detection system.

In one embodiment, the apparatus for detecting the quality of platform information dissemination further includes:

The judgment module is used for judging whether the detection task is triggered according to the published data read from the data publishing center;

The setting module is used to set the execution time of the detection task if the detection task is triggered, and set the data currently released by the data distribution center as the standard content of the information to be detected.

As an embodiment, the above judgment module is further used for:

If new data appears in the published data currently read from the data publishing center, and/or the set type of data is updated, a detection task is triggered.

As an embodiment, the above-mentioned apparatus for detecting the quality of platform information dissemination further includes:

The timing reading module is used to periodically read the published data from the data publishing center.

In one embodiment, the detection tasks described above are associated with multiple platforms.

As an embodiment, the above-mentioned apparatus for detecting the quality of platform information dissemination further includes:

The evaluation time acquisition module is used to obtain the evaluation time of the dissemination quality;

The storage module is used to store the target information, evaluation time and dissemination quality corresponding to each target platform respectively.

In one embodiment, the above-mentioned target platform is a weather forecast platform; the information to be detected is weather information.

For the specific definition of the device for detecting the quality of platform information dissemination, please refer to the above definition of the method for detecting the quality of platform information dissemination, which will not be repeated here. Each module in the apparatus for detecting the quality of platform information dissemination can be implemented in whole or in part by software, hardware and combinations thereof. The above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or stored in the memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

In one embodiment, a computer device is provided, and the computer device may be a terminal, and its internal structure diagram may be as shown in FIG. 5 . The computer equipment includes a processor, memory, a network interface, a display screen, and an input device connected by a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium, an internal memory. The nonvolatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the execution of the operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for detecting the quality of platform information dissemination is implemented. The display screen of the computer equipment may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment may be a touch layer covered on the display screen, or a button, a trackball or a touchpad set on the shell of the computer equipment , or an external keyboard, trackpad, or mouse.

Those skilled in the art can understand that the structure shown in FIG. 5 is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer equipment to which the solution of the present application is applied. Include more or fewer components than shown in the figures, or combine certain components, or have a different arrangement of components.

In one embodiment, a computer device is provided, comprising a memory, a processor, and a computer program stored on the memory and running on the processor, and the processor implements the following steps when executing the computer program:

Get the current time of the detection system;

If the current time is the execution time of the detection task preset in the detection system, obtain the target information published on the target platform; the target platform is the platform associated with the detection task; the target information is the information to be detected set under the detection task;

According to the target information released by the target platform and the standard content of the information to be detected stored in the detection system, the dissemination quality of the information to be detected by the target platform is evaluated.

In one embodiment, the processor further implements the following steps when executing the computer program:

Determine whether the detection task is triggered according to the release data read from the data release center; if the detection task is triggered, set the execution time of the detection task, and set the data currently released by the data release center as the standard content of the information to be detected .

In one embodiment, the processor further implements the following steps when executing the computer program:

If new data appears in the published data currently read from the data publishing center, and/or the set type of data is updated, a detection task is triggered.

In one embodiment, the processor further implements the following steps when executing the computer program:

Regularly read the published data from the data publishing center.

In one embodiment, the processor further implements the following steps when executing the computer program:

Obtain the evaluation time of the dissemination quality; store the target information, evaluation time and dissemination quality corresponding to each target platform respectively.

In one embodiment, a computer-readable storage medium is provided on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

Get the current time of the detection system;

If the current time is the execution time of the detection task preset in the detection system, obtain the target information published on the target platform; the target platform is the platform associated with the detection task; the target information is the information to be detected set under the detection task;

According to the target information released by the target platform and the standard content of the information to be detected stored in the detection system, the dissemination quality of the information to be detected by the target platform is evaluated.

In one embodiment, the computer program further implements the following steps when executed by the processor:

Determine whether the detection task is triggered according to the release data read from the data release center; if the detection task is triggered, set the execution time of the detection task, and set the data currently released by the data release center as the standard content of the information to be detected .

In one embodiment, the computer program further implements the following steps when executed by the processor:

If new data appears in the published data currently read from the data publishing center, and/or the set type of data is updated, a detection task is triggered.

In one embodiment, the computer program further implements the following steps when executed by the processor:

Regularly read the published data from the data publishing center.

In one embodiment, the computer program further implements the following steps when executed by the processor:

Obtain the evaluation time of the dissemination quality; store the target information, evaluation time and dissemination quality corresponding to each target platform respectively.

Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be implemented by instructing relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage In the medium, when the computer program is executed, it may include the processes of the above-mentioned method embodiments. Wherein, any reference to memory, storage, database or other medium used in the various embodiments provided in this application may include non-volatile and/or volatile memory. Nonvolatile memory may include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous chain Road (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

The technical features of the above embodiments can be combined arbitrarily. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features It is considered to be the range described in this specification.

It should be noted that the term "first\second\third" involved in the embodiments of the present application is only to distinguish similar objects, and does not represent a specific ordering of objects. It is understandable that "first\second\third" "Three" may be interchanged in a particular order or sequence where permitted. It should be understood that the "first\second\third" distinctions may be interchanged under appropriate circumstances to enable the embodiments of the application described herein to be practiced in sequences other than those illustrated or described herein.

The terms "comprising" and "having" and any variations thereof in the embodiments of the present application are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, product or device comprising a series of steps or modules is not limited to the listed steps or modules, but optionally also includes unlisted steps or modules, or optionally also includes Other steps or modules inherent to these processes, methods, products or devices.

As used herein, "plurality" refers to two or more. "And/or", which describes the association relationship of the associated objects, means that there can be three kinds of relationships, for example, A and/or B, which can mean that A exists alone, A and B exist at the same time, and B exists alone. The character "/" generally indicates that the associated objects are an "or" relationship.

The above-mentioned embodiments only represent several embodiments of the present application, and the descriptions thereof are specific and detailed, but should not be construed as a limitation on the scope of the invention patent. It should be pointed out that for those skilled in the art, without departing from the concept of the present application, several modifications and improvements can be made, which all belong to the protection scope of the present application. Therefore, the scope of protection of the patent of the present application shall be subject to the appended claims.

Claims (10)

1. a detection method of platform information dissemination quality, is characterized in that, comprises: Get the current time of the detection system; If the current time is the execution time of the detection task preset in the detection system, obtain the target information published on the target platform; the target platform is the platform associated with the detection task; the target information is the detection task The information to be detected set under the task; According to the target information published by the target platform and the standard content of the information to be detected stored in the detection system, the dissemination quality of the information to be detected by the target platform is evaluated. 2. The method according to claim 1, characterized in that before said acquiring the current time of the detection system, the method further comprises: Determine whether the detection task is triggered according to the release data read from the data release center; If the detection task is triggered, the execution time of the detection task is set, and the data currently released by the data distribution center is set as the standard content of the information to be detected. 3. The method according to claim 2, wherein said judging whether the detection task is triggered according to the release data read from the data release center comprises: If new data appears in the published data currently read by the data publishing center, and/or data of a set type is updated, the detection task is triggered. 4. The method according to claim 2, wherein before judging whether the detection task is triggered according to the release data read from the data release center, the method further comprises: The published data is read from the data publishing center at regular intervals. 5. The method of claim 1, wherein the detection task is associated with multiple platforms. 6 . The method according to claim 5 , wherein the target platform is evaluated in the target information released according to the target platform and the standard content of the information to be detected stored in the detection system. 7 . After the propagation quality of the information to be detected, the method further includes: obtaining the evaluation time of the dissemination quality; The target information, evaluation time and dissemination quality corresponding to each of the target platforms are respectively stored. 7. The method according to any one of claims 1 to 6, wherein the target platform is a weather forecast platform; and the information to be detected is weather information. 8. A detection device for platform information dissemination quality, wherein the device comprises: The first acquisition module is used to acquire the current time of the detection system; The second obtaining module is configured to obtain the target information published on the target platform if the current time is the execution time of the detection task preset in the detection system; the target platform is the platform associated with the detection task; The target information is the information to be detected set under the detection task; The evaluation module is configured to evaluate the dissemination quality of the information to be detected by the target platform according to the target information published by the target platform and the standard content of the information to be detected stored in the detection system. 9. A computer device comprising a memory, a processor and a computer program stored on the memory and running on the processor, wherein the processor implements any of claims 1 to 7 when the processor executes the computer program. A step of the method. 10. A computer-readable storage medium on which a computer program is stored, characterized in that, when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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