CN115577867B

CN115577867B - Method and system for creating spot check task, computer equipment and storage medium

Info

Publication number: CN115577867B
Application number: CN202211577112.4A
Authority: CN
Inventors: 舒艳华; 曾俊锋; 聂中良
Original assignee: Shenzhen Haizhichuang Technology Co ltd
Current assignee: Shenzhen Haizhichuang Technology Co ltd
Priority date: 2022-12-09
Filing date: 2022-12-09
Publication date: 2023-04-18
Anticipated expiration: 2042-12-09
Also published as: CN115577867A

Abstract

The invention provides a method, a system computer device and a storage medium for creating a random inspection task, wherein the random inspection task creating system comprises a task classification node and a task generation node, and the method comprises the following steps: acquiring original task data, wherein the original task data comprises a task text and a sample image; performing text detection on the task text to obtain at least one text feature; performing feature recognition on the sample image to obtain at least one feature information; performing task classification on the original task data based on the text characteristics and the characteristic information to obtain at least one classification result, and transmitting the classification result to the task classification node; obtaining a classification result of the task classification node and a generation result of the task generation node; determining a generation result matched with the classification result to obtain a target result; and a sampling task is established by using the target result to carry out task transmission, so that the task is prevented from being leaked, and the working efficiency of sampling inspection is improved.

Description

Method and system for creating spot check task, computer equipment and storage medium

Technical Field

The present invention relates to the field of computer technologies, and in particular, to a method and a system for creating a sampling inspection task, a computer device, and a storage medium.

Background

In real estate project management, quality spot check needs to be carried out on construction site projects and purchase samples in the construction site projects, however, the spot check cannot be carried out on the construction site projects every day, the situation that spot check tasks are known in advance often occurs on the construction site projects, and problems which actually occur cannot be detected inevitably.

Disclosure of Invention

The embodiment of the invention aims to provide a method and a system for creating a random inspection task, and solve the technical problems that the conventional random inspection task is easy to leak and has low efficiency.

In order to solve the above technical problem, an embodiment of the present invention provides a method for creating a sampling task, which is applied to a sampling task creating system, where the sampling task creating system includes a task classification node and a task generation node, and the method includes:

the method is applied to a spot check task creating system, the spot check task creating system comprises a task classification node and a task generation node, and the method comprises the following steps:

acquiring original task data, wherein the original task data comprises a task text and a sample image;

performing text detection on the task text to obtain at least one text characteristic;

performing feature recognition on the sample image to obtain at least one feature information;

performing task classification on the original task data based on the text features and the feature information to obtain at least one classification result, and transmitting the classification result to the task classification node;

obtaining a classification result of the task classification node and a generation result of the task generation node;

determining a generation result matched with the classification result to obtain a target result;

and creating a sampling task by using the target result to perform task transmission.

Optionally, before obtaining the generation result of the task generation node, the method further includes:

acquiring the classified original task data, wherein the original task data further comprises personnel configuration, time configuration and place configuration;

carrying out configuration feature identification on the personnel configuration, the time configuration and the place configuration to obtain configuration features;

and calling a corresponding task execution flow framework by using the configuration characteristics to generate a task, and obtaining a corresponding generation result.

Optionally, the sampling task creating system further includes a monitoring node, and after the task transmission is performed by using the target result to create the sampling task, the method further includes:

transmitting the target result to the monitoring node;

and matching the monitoring result of the monitoring node with the target result, and determining a first monitoring result and a second monitoring result of the communication between the monitoring node and the task generating node.

Optionally, the determination is performed after a first monitoring result and a second monitoring result of the communication between the monitoring node and the task generating node are determined. The method further comprises the following steps:

determining that the task generation node generates a generation result that matches the first monitoring result or

And determining that the task generation node generates a generation result matched with the second monitoring result.

Optionally, the system for creating a snapshot task further includes a security node, and before the snapshot task is transmitted based on the target task, the method further includes:

responding to a transmission request generated by the security node, wherein the transmission request comprises a spot check task requiring transmission;

and determining the spot check task requiring transmission contained in the transmission request as a generation result of the task generation node.

Optionally, after determining a generation result matching the classification result and obtaining a target result, the method further includes:

and sending error reporting information under the condition that the classification result is not matched with the generation result.

The embodiment of the invention also provides a system for creating the random inspection task, which comprises a task classification node and a task generation node, and the system comprises:

the spot inspection task creating system comprises a task classification node and a task generation node, and the system comprises:

a first obtaining module: acquiring original task data, wherein the original task data comprises a task text and a sample image;

a first feature extraction module: the task text detection module is used for performing text detection on the task text to obtain at least one text feature;

a second feature extraction module: the system is used for carrying out feature recognition on the sample image to obtain at least one feature information;

a classification module: the system comprises a task classification node, a task classification node and a task classification node, wherein the task classification node is used for performing task classification on the original task data based on the text characteristics and the characteristic information to obtain at least one classification result and transmitting the classification result to the task classification node;

a second obtaining module: the task classification node is used for acquiring a classification result of the task classification node and a generation result of the task generation node;

a first matching module: the device is used for determining a generation result matched with the classification result to obtain a target result;

a transmission module: and the sampling task is created by using the target result to carry out task transmission.

Optionally, the second obtaining module further includes a configuration obtaining subunit, a configuration feature identifying subunit, a task generating subunit, and a result transmitting subunit:

the configuration acquisition subunit: the system comprises a data processing module, a data processing module and a data processing module, wherein the data processing module is used for acquiring the classified original task data, and the original task data further comprises personnel configuration, time configuration and place configuration;

the configuration feature identification subunit: the system comprises a personnel configuration module, a time configuration module and a place configuration module, wherein the personnel configuration module, the time configuration module and the place configuration module are used for identifying configuration characteristics to obtain configuration characteristics;

the task generation subunit: and the task execution flow framework is used for calling the corresponding task execution flow framework by using the configuration characteristics to generate the task and obtain the corresponding generation result.

The result transmission subunit: for transmitting the generated result to the task classification node.

In order to solve the above technical problem, an embodiment of the present application further provides a computer device, which adopts the following technical solutions:

the computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the spot check task creation method provided by any one of the embodiments of the application when executing the computer program.

In order to solve the above technical problem, an embodiment of the present application further provides a computer-readable storage medium, which adopts the following technical solutions:

the computer-readable storage medium has stored thereon a computer program which, when being executed by a processor, implements the steps of the spot check task creation method according to any one of the embodiments set forth herein.

Compared with the prior art, the embodiment of the application mainly has the following beneficial effects:

the embodiment of the application provides a method for creating a spot check task, which is applied to a spot check task creating system, wherein the spot check task creating system comprises a task classification node and a task generation node, and the method comprises the following steps: acquiring original task data, wherein the original task data comprises a task text and a sample image; performing text detection on the task text to obtain at least one text feature; performing feature recognition on the sample image to obtain at least one feature information; performing task classification on the original task data based on the text characteristics and the characteristic information to obtain at least one classification result, and transmitting the classification result to the task classification node; obtaining a classification result of the task classification node and a generation result of the task generation node; determining a generation result matched with the classification result to obtain a target result; creating a sampling task by using the target result to perform task transmission; in the embodiment of the invention, the selective examination task creating system determines the distribution time of the task based on the safety mechanism provided by the invention before the selective examination task is transmitted, thereby ensuring that the task is not leaked, and simultaneously optimizing the selective examination task through the task monitoring mechanism provided by the invention to ensure the rationality of the selective examination task and improve the working efficiency of the selective examination.

Drawings

In order to more clearly illustrate the solution of the present application, the drawings needed for describing the embodiments of the present application will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and that other drawings can be obtained by those skilled in the art without inventive effort.

FIG. 1 is an exemplary system architecture diagram in which the present application may be applied;

FIG. 2 is a flow diagram of one embodiment of a spot check task creation method according to the present application;

FIG. 3 is a block diagram of one embodiment of a spot check task creation system according to the present application

FIG. 4 is a schematic block diagram of one embodiment of a computer device according to the present application.

Detailed Description

The method for determining a data format provided by the embodiment of the present invention is applied to a data processing system, and unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used in the description of the application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "including" and "having," and any variations thereof, in the description and claims of this application and the description of the above figures are intended to cover non-exclusive inclusions. The terms "first," "second," and the like in the description and claims of this application or in the foregoing drawings are used for distinguishing between different objects and not for describing a particular sequential order.

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 application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.

In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings.

As shown in fig. 1, the system architecture 100 may include

terminal devices

101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the

terminal devices

101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.

The user may use the

terminal devices

101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The

terminal devices

101, 102, 103 may have various communication client applications installed thereon, such as a web browser application, a shopping application, a search application, an instant messaging tool, a mailbox client, social online platform software, and the like.

The

terminal devices

101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, e-book readers, MP3 players (Moving Picture Experts Group Audio Layer III, motion Picture Experts compression standard Audio Layer 3), MP4 players (Moving Picture Experts Group Audio Layer IV, motion Picture Experts compression standard Audio Layer 4), laptop portable computers, desktop computers, and the like.

The server 105 may be a server providing various services, such as a background server providing support for pages displayed on the

terminal devices

101, 102, 103.

It should be noted that the spot check task creation system provided in the embodiments of the present application is generally executed by a server/terminal device, and accordingly, the spot check task creation system is generally disposed in the server/terminal device.

It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks and servers as required by the implementation

With continuing reference to FIG. 2, a flowchart of one embodiment of a spot check task creation method is shown, wherein the spot check task creation method comprises the following steps

S210, acquiring original task data, wherein the original task data comprises a task text and a sample image;

s220, performing text detection on the task text to obtain at least one text feature;

s230, performing feature recognition on the sample image to obtain at least one feature information;

s240, performing task classification on the original task data based on the text features and the feature information, obtaining at least one classification result and transmitting the classification result to the task classification node;

the steps S210 to S240 may be understood as how to classify the task by the task classification node pair:

optionally, in this embodiment, original task data is obtained, where the original task data includes a task text and a sample image, the task classification node is started to perform text detection on the task text to obtain at least one text feature, the task classification node is started to perform feature identification on the sample image to obtain at least feature information, and task classification is performed on the original task data based on the text feature and the feature information to obtain at least one classification result.

It should be noted that, in this step, the original task data may be classified by using an artificial intelligence fusion model to obtain a task classification result, in this embodiment, OCR recognition may be used to recognize text fields in task texts in the original task data obtained from the database, in this embodiment, a classification model constructed by an NTS-Net model may also be used to perform rough classification, a Navigator agent module in an NTS-Net is used to filter extracted sample images to remove redundant sample images, a Teacher agent module in an NTS-Net model is used to perform confidence calculation on the sample images, and a first confidence of the sample images is obtained to determine sample categories. And performing related classification on the sample category and the task text field to obtain an actual task classification result, and embedding a classification label in the original classification data.

Optionally, the method further includes the step of creating a sampling task result by the task generation node:

and acquiring the classified original task data, wherein the original task data further comprises personnel configuration, time configuration and place configuration, starting the task generating node to perform configuration feature identification on the personnel configuration, the time configuration and the place configuration to acquire configuration features, calling a corresponding task execution flow framework by using the configuration features to perform task generation, and acquiring a corresponding generation result.

In this embodiment, the task execution flow frame is derived from an execution flow that is manually preset, and the setting mode is constructed according to actual requirements and task execution nodes, which is not described again. The sampling task comprises a configuration executor, a principal address, a principal task, a sampling purpose and the like.

Optionally, in the embodiment of the present invention, after receiving the task data extraction request, the spot check task creating system stores the prediction type in the task data extraction request and the prediction task data corresponding to the prediction task type to the task classification node. And after receiving the prediction class and the prediction task class, the task classification node generates a data unique identifier based on the prediction task class. And the classification result of the prediction task class corresponding to the prediction task data is the same as that of the task classification node.

In another optional embodiment, the implementation scenario may obtain the classification result of the task classification node and the generation result of the task generation node in a case that the external client sends a service request to the spot inspection task creation system. The service request comprises predicted task data, a task category corresponding to the predicted task data and a classification result supported by the external client.

In another optional implementation, the purchased products are of various types, and the corresponding suppliers and product use regions are also numerous, so that the purchased products, the products to be purchased and the samples are classified and associated with the suppliers, and a product association relationship is established to generate an association relationship table and store the association relationship table in the task generation node; the supply time of each product of the supplier is extracted, and the starting time of the spot check task is set according to a preset time interval, wherein the time interval can be one month or half a year. When the spot check task is started, statistics can be carried out according to the quantity and the amount of the acceptance sheets, and the frequency of the spot check required is weighted and distributed through the amount of the acceptance sheets under the suppliers according to the period of month/quarter/half year/year, wherein the frequency of the spot check of the suppliers can be calculated by utilizing a discrete random algorithm.

In another optional implementation manner, a list of detection personnel may also be obtained, a mechanism source in the list of detection personnel is calculated, a corresponding mechanism source table is generated, a personnel mapping relationship of the detection personnel is constructed according to the mechanism source table, a target to be detected of the detection personnel is allocated by using the total number of times to be detected of the detection mechanism, prediction task configuration data is generated by using the personnel mapping relationship, the target to be detected, the number of times to be sampled and the frequency to be sampled, and the prediction task configuration data is transmitted to the task generation node to perform task flow execution configuration.

S250, obtaining a classification result of the task classification node and a generation result of the task generation node;

specifically, the classification result of the task classification node in the step is original task data extracted by the task classification node in a database according to task requirements, wherein the original task data refers to task data related to the spot check task, such as a purchase sample list, a purchase sample amount, an acceptance sample list, an acceptance sample amount, a purchase sample unit, a purchase sample spot check frequency, a spot check sample entrustor and the like, and the output data of the task generation node refers to the task generation node classifying the original task data according to actual task requirements to obtain the classification result.

S260, determining a generation result matched with the classification result to obtain a target result;

specifically, the classification labels corresponding to the classification results and the category labels included in the production results are extracted, and it should be understood that the category labels included in the production results are label data attached to the classified original task data when the sampling task is generated, and the classification labels and the category labels are matched and determined to obtain the corresponding sampling task under each category.

Further, sending error information when the classification result is not matched with the generation result.

S270, using the target result to create a sampling task for task transmission

In this step, the spot check task creating method in the embodiment of the present invention is applied to a spot check task creating system, where the spot check task creating system further includes a monitoring node, and transmits a generation result of the task generating node to the monitoring node; and matching the monitoring result of the monitoring node with the generation result of the task generation node, and determining a first monitoring result and a second monitoring result of the communication between the monitoring node and the task generation node.

Specifically, in this step, the monitoring node may be understood as distributing the monitoring spot check result in the spot check task, where the first monitoring result may be set as a further strict spot check result generated by unqualified spot check, and the second monitoring result may be set as a further loose spot check result generated by qualified spot check.

Further, original task data in the task classification nodes are controlled to transmit task generation nodes, and the task generation nodes are determined to generate generation results matched with the first monitoring results; or controlling an original task data transmission task generating node in the task classification node, and determining that the task generating node generates a generating result matched with the second monitoring result.

Specifically, the original generated result is updated by matching the generated result, the original task data is re-extracted according to the first monitoring result, the original task data is transmitted to the task generating node, the corresponding strict sampling task execution flow is extracted according to the first monitoring result, and finally the corresponding sampling task is generated according to the sampling task execution flow, wherein the original task data is extracted, the extraction is performed according to the sampling frequency order value in the original task data, the weight is re-matched, and the sampling task is arranged according to the updated generated result, or the matched generated result is updated according to the second monitoring result by the method.

Optionally, in another embodiment, the system for creating a snapshot task further includes a security node, where the security node refers to a working node that performs security authority limitation on the snapshot task, and the security node may work at a mobile terminal of a principal of the snapshot task, or at a client and a server, and is configured to prevent the snapshot task from being revealed, and the security node is set before the target task transmits the snapshot task.

Specifically, a transmission request generated by the security node is responded, and the transmission request comprises a spot check task required to be transmitted; and determining the spot check task requiring transmission contained in the transmission request as a generation result of the task generation node.

In detail, the security node security authority node comprises a first authority acquisition node which performs task authentication on a consignor so as to log in the spot check task creation system; the second authority transmission node transmits the province of the supplier in the spot check task to the mobile client of the client and orders the arrival time of the client; when the consignor arrives at the destination province city, the GPS positioning data of the mobile client is obtained and a third authority transmission node is generated, the time between the GPS and the supplier position is calculated according to the arrival instruction received from the mobile terminal, the predicted time is sent to the consignor, if the consignor fails to arrive at the destination at the designated time, the random inspection task is cancelled, the random inspection task is matched again, and if the consignor arrives at the destination at the designated time, the specific content of the random inspection task is distributed to the consignor.

the embodiment of the application provides a method for creating a spot check task, which is applied to a spot check task creating system, wherein the spot check task creating system comprises a task classification node and a task generation node, and the method comprises the following steps: obtaining a classification result of the task classification node and a generation result of the task generation node; determining a generation result matched with the classification result to obtain a target result; in the embodiment of the invention, the sampling task creating system determines the distribution time of the task based on the safety mechanism provided by the invention before the sampling task is transmitted, so that the task is ensured not to be leaked, and meanwhile, the sampling task is optimized by the task supervision mechanism provided by the invention, so that the sampling reasonability of the sampling task is ensured, and the sampling work efficiency is improved.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the computer program is executed. The storage medium may be a non-volatile storage medium such as a magnetic disk, an optical disk, a Read-Only Memory (ROM), or a Random Access Memory (RAM).

It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

With further reference to fig. 4, as an implementation of the method shown in fig. 2, the present application provides an embodiment of a system 300 for creating a spot check task, where the system embodiment corresponds to the method embodiment shown in fig. 2, and the system may be specifically applied to various electronic devices.

The present invention provides a system 300 for creating a sampling task, where the system for creating a sampling task includes a task classification node and a task generation node, and the system includes:

the first obtaining module 301: the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring original task data, and the original task data comprises task texts and sample images;

the first feature extraction module 302: the task text detection module is used for performing text detection on the task text to obtain at least one text feature;

the second feature extraction module 303: the system is used for carrying out feature recognition on the sample image to obtain at least one feature information;

the classification module 304: the system comprises a task classification node, a task classification node and a task classification node, wherein the task classification node is used for performing task classification on the original task data based on the text characteristics and the characteristic information to obtain at least one classification result and transmitting the classification result to the task classification node;

the second obtaining module 305: the task classification node is used for acquiring a classification result of the task classification node and a generation result of the task generation node;

the first matching module 306: the device is used for determining a generation result matched with the classification result to obtain a target result;

the transmission module 307: and the sampling task is created by utilizing the target result for task transmission.

Further, the second obtaining module further includes a configuration obtaining subunit, a configuration feature identifying subunit, a task generating subunit, and a result transmitting subunit:

the embodiment of the application provides a selective examination task creating system, which comprises a task classification node and a task generation node, and the system comprises a first acquisition module: the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring original task data, and the original task data comprises task texts and sample images; a first feature extraction module: the task text detection module is used for performing text detection on the task text to obtain at least one text feature; a second feature extraction module: the system is used for carrying out feature recognition on the sample image to obtain at least one feature information; a classification module: the system comprises a task classification node, a task classification node and a task classification node, wherein the task classification node is used for performing task classification on the original task data based on the text characteristics and the characteristic information to obtain at least one classification result and transmitting the classification result to the task classification node; a second obtaining module: the task classification node is used for acquiring a classification result of the task classification node and a generation result of the task generation node; a first matching module: the device is used for determining a generation result matched with the classification result to obtain a target result; a transmission module: the system is used for establishing the sampling task by using the target result to transmit the task, and the sampling inspection task establishing system determines the distribution time of the task based on the safety mechanism provided by the invention before transmitting the sampling inspection task, thereby ensuring that the task is not leaked.

In order to solve the technical problem, an embodiment of the present application further provides a computer device. Referring to fig. 4, fig. 4 is a block diagram of a basic structure of a computer device according to the present embodiment.

The computer device 5 comprises a memory 51, a processor 52, a network interface 53, which are communicatively connected to each other via a system bus. It is noted that only a computer device 5 having components 51-53 is shown, but it is understood that not all of the shown components are required to be implemented, and that more or fewer components may be implemented instead. As will be understood by those skilled in the art, the computer device is a device capable of automatically performing numerical calculation and/or information processing according to instructions set or stored in advance, and the hardware thereof includes but is not limited to a microprocessor, an Application Specific Integrated Circuit (ASIC), a Programmable Gate Array (FPGA), a Digital Signal Processor (DSP), an embedded device, and the like.

The computer device can be a desktop computer, a notebook, a palm computer, a cloud server and other computing devices. The computer equipment can carry out man-machine interaction with a user in a keyboard mode, a mouse mode, a remote controller mode, a touch panel mode or a voice control equipment mode.

The memory 51 includes at least one type of readable storage medium including a flash memory, a hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a Programmable Read Only Memory (PROM), a magnetic memory, a magnetic disk, an optical disk, etc. In some embodiments, the memory 51 may be an internal storage unit of the computer device 5, such as a hard disk or a memory of the computer device 5. In other embodiments, the memory 51 may also be an external storage device of the computer device 5, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the computer device 5. Of course, the memory 51 may also comprise both an internal storage unit of the computer device 5 and an external storage device thereof. In this embodiment, the memory 51 is generally used for storing an operating system installed in the computer device 5 and various types of application software, such as program codes of the X method. Further, the memory 51 may also be used to temporarily store various types of data that have been output or are to be output.

The processor 52 may be a Central Processing Unit (CPU), controller, microcontroller, microprocessor, or other data Processing chip in some embodiments. The processor 52 is typically used to control the overall operation of the computer device 5. In this embodiment, the processor 52 is configured to execute the program code stored in the memory 51 or process data, for example, execute the program code of the X method.

The network interface 53 may comprise a wireless network interface or a wired network interface, and the network interface 53 is generally used for establishing communication connections between the computer device 5 and other electronic devices.

The present application further provides another embodiment, which is to provide a computer readable storage medium, wherein the computer readable storage medium stores the spot check task creation program, and the spot check task creation program can be executed by at least one processor, so as to make the at least one processor execute the steps of the spot check task creation method as described above.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware online platform, and certainly can also be implemented by hardware, but in many cases, the former is a better embodiment. Based on such understanding, the technical solutions of the present application or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (such as a ROM/RAM, a magnetic disk, and an optical disk), and includes several instructions for enabling a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present application.

The application is operational with numerous general purpose or special purpose computing system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet-type devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like. The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.

It should be understood that the above-described embodiments are merely exemplary of some, and not all, embodiments of the present application, and that the drawings illustrate preferred embodiments of the present application without limiting the scope of the claims appended hereto. This application is capable of embodiments in many different forms and is provided for the purpose of enabling a thorough understanding of the disclosure of the application. Although the present application has been described in detail with reference to the foregoing embodiments, it will be apparent to one skilled in the art that the present application may be practiced without modification or with equivalents of some of the features described in the foregoing embodiments. All equivalent structures made by using the contents of the specification and the drawings of the present application are directly or indirectly applied to other related technical fields and are within the protection scope of the present application.

Claims

1. A method for creating a spot check task is applied to a spot check task creating system, the spot check task creating system comprises a task classification node and a task generation node, and the method comprises the following steps:

performing task classification on the original task data based on the text characteristics and the characteristic information to obtain at least one classification result, and transmitting the classification result to the task classification node;

creating a sampling task by using the target result to perform task transmission;

the sampling task creating system further comprises a monitoring node, and after the sampling task is created by using the target result and is transmitted, the sampling task creating system further comprises: transmitting the target result to the monitoring node; matching the monitoring result of the monitoring node with the target result, and determining a first monitoring result and a second monitoring result of the communication between the monitoring node and the task generating node;

the system for creating the random inspection task further comprises a safety node, and before the random inspection task is transmitted based on the target result, the method further comprises the following steps:

responding to a transmission request generated by the security node, wherein the transmission request comprises a spot check task requiring transmission; determining the spot check task requiring transmission contained in the transmission request as a generation result of the task generation node;

the safety node is a working node for limiting the safety authority of the sampling inspection task, and specifically comprises the following steps: the safety node safety authority node comprises a first authority acquisition node which performs task authentication on a consignor so as to log in the spot check task creation system; the second authority transmission node transmits the province of the supplier in the spot check task to the mobile client of the client and orders the arrival time of the client; when the consignor arrives at the destination province city, the GPS positioning data of the mobile client is obtained and a third authority transmission node is generated, the time between the GPS and the supplier position is calculated according to the arrival instruction received from the mobile terminal, the predicted time is sent to the consignor, if the consignor cannot arrive at the destination at the designated time, the random inspection task is cancelled, the random inspection task is matched again, and if the consignor arrives at the destination at the designated time, the specific content of the random inspection task is distributed to the consignor.

2. The method according to claim 1, wherein before obtaining the result of the task generation node, the method further comprises:

3. The method of claim 1, wherein after determining the first monitoring result and the second monitoring result for the monitoring node to communicate with the task generation node, the method further comprises:

4. The method of claim 1, wherein after obtaining the target result, the method further comprises:

5. A casual inspection task creating system applied to the casual inspection task creating method according to any one of claims 1 to 4, wherein the casual inspection task creating system comprises a task classification node and a task generation node, and the system comprises:

a first obtaining module: the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring original task data, and the original task data comprises task texts and sample images;

6. The spot inspection task creating system according to claim 5, wherein the second acquiring module further comprises a configuration acquiring subunit, a configuration feature identifying subunit, a task generating subunit, and a result transmitting subunit:

the task generation subunit: the task execution flow framework is used for calling the corresponding task execution flow framework by using the configuration characteristics to generate a task and obtain a corresponding generation result;

7. A computer device, characterized in that it comprises a memory in which a computer program is stored and a processor which, when executing said computer program, carries out the steps of the spot check task creation method according to any one of claims 1 to 4.

8. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, carries out the steps of the spot check task creation method according to any one of claims 1 to 4.