CN115641090A - Item distribution method, item distribution system, computer device, and medium - Google Patents
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Abstract
The invention discloses a method, a system, a computer device and a medium for distributing items, which automatically identify execution departments for execution according to matching conditions of a processing work order and the execution departments contained in the processing items after matching corresponding processing items according to reported information, and when the processing work order is not bound with the execution departments, automatically match the execution departments by re-matching the corresponding execution departments according to identification characters after splitting the reported information into identification characters by using semantic identification, thereby preventing the corresponding execution departments from being incapable of being accurately matched due to unclear division of authority of the departments, solving the problems that in the prior art, the processing work orders contained in the processing items are more, and when the authority of the execution departments involved in the processing work order is not clear, the communication coordination efficiency among the execution departments is low easily, and improving the processing efficiency of the processing items.
Description
Technical Field
The present invention relates to transaction distribution, and more particularly, to a transaction distribution method, system, computer device, and medium.
Background
In the social treatment, the city operation command center is responsible for receiving different types of events from different channels and uniformly distributing the events to each department for disposal in a form of work orders;
however, in some processing transactions requiring simultaneous and coordinated execution by multiple departments, there are often more processing work orders included in the processing transactions, and when the authority and liability partition of the execution departments involved in the processing work orders is not clear enough, mutual deniability between the departments is easily caused, which results in problems of reduced coordination degree and low communication coordination efficiency, which causes difficulty in event promotion and affects processing efficiency of processing transactions.
Disclosure of Invention
In view of the above, it is desirable to provide a transaction distribution method, system, computer device, and medium capable of accurately issuing a processing work order according to the division duties corresponding to each receiving department.
The invention provides a transaction distribution method, which specifically comprises the following steps:
according to the report information uploaded by the report department;
according to the corresponding processing items matched with the reported information, the processing items comprise a plurality of processing work orders;
judging whether each processing work order is not matched with a corresponding execution department or not;
if yes, carrying out semantic splitting on the reported information so as to generate a plurality of identification characters;
and matching the execution departments of the processing work orders according to the identification characters.
Further, the step of matching the execution department of each processing work order according to the recognition characters specifically includes:
after each processing work sheet is switched to a state to be dispatched, a first preset word stock matched with the execution department is obtained;
judging whether the matching quantity between the recognition characters and the first preset word stock exceeds a preset threshold value matched with the execution department,
and if so, binding the processing work order with the execution department, thereby determining that the processing work order is executed by the execution department which is successfully bound.
Further, the step of matching the execution department of each processing work order according to the recognition character further includes:
obtaining historical disposal data of the processing work order, wherein the historical disposal data comprises historical report information matched with the processing work order, a historical source and a historical execution department;
training a preset classification model according to the historical disposal data so as to generate a final matching model, inputting the recognition characters into the final matching model for calculation, and outputting a final execution department;
and binding the final execution department with the processing work order matched with the recognition character, thereby determining that the processing work order is to be executed by the final execution department.
Further, the step of training a preset classification model according to the historical treatment data to generate a final matching model specifically includes:
storing the historical report information, the historical source and the historical execution department in a preset training table as a training basis of the preset classification model;
acquiring a preset industry segmentation dictionary as a model segmentation basis, wherein the preset industry segmentation dictionary comprises a plurality of industry classification nouns;
circularly matching the historical reported information, the historical source and the historical execution department with the preset industry word segmentation dictionary according to a preset matching mode, and integrating successfully matched characters into a training character set;
and after the characters contained in the training character set are subjected to standardization processing and are recorded as a model training set, inputting the model training set into the preset classification model for training, thereby generating a final matching model.
Further, the step of inputting the recognition character into the final matching model for calculation and outputting a final execution department specifically includes:
inputting the recognition characters into the final matching model for prediction restoration, thereby outputting a prediction parameter set;
inputting the prediction parameter set into the final matching model again for prediction, thereby outputting a final matching feature, wherein the final matching feature is contained in the recognition character;
and matching the corresponding execution department according to the final matching features.
Further, after the step of determining whether each of the processing work orders does not match the corresponding execution department, the method further includes:
if not, judging whether part of the processing work orders do not match the corresponding execution department;
if yes, switching each processing work order into a to-be-dispatched state, and acquiring an execution department successfully matched with the processing work order and recording the execution department as a to-be-pushed department;
acquiring a second preset word stock matched with the department to be pushed;
judging whether the matching quantity between the recognition characters and the second preset word stock exceeds a preset threshold value matched with the execution department or not,
and if so, binding the processing work order with the department to be pushed, thereby determining that the processing work order is executed by the successfully bound department to be pushed.
Further, after the step of determining whether each of the processing work orders does not match the corresponding execution department, the method further includes:
if not, judging whether each processing work order is matched with one execution department only;
and if so, binding the processing work order with the execution department, thereby determining that the processing work order is executed by the execution department which is successfully bound.
The invention also provides a transaction distribution system, which specifically comprises:
the acquisition unit is used for acquiring the report information uploaded by the report department;
the matching unit is used for matching corresponding processing items according to the reported information, and the processing items comprise a plurality of processing work orders;
the judging unit is used for judging whether each processing work order is not matched with a corresponding execution department;
the splitting unit is used for performing semantic splitting on the reported information if the judgment is yes, so as to generate a plurality of recognition characters;
and the binding unit is used for matching the execution department of each processing work order according to the identification characters.
A computer device comprising a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of:
according to the reporting information uploaded by the reporting department;
according to the corresponding processing items matched with the reported information, the processing items comprise a plurality of processing work orders;
judging whether each processing work order is not matched with a corresponding execution department;
if so, performing semantic splitting on the reported information to generate a plurality of identification characters;
and matching the execution departments of the processing work orders according to the identification characters.
A computer-readable medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of:
according to the reporting information uploaded by the reporting department;
according to the corresponding processing items matched with the reported information, the processing items comprise a plurality of processing work orders;
judging whether each processing work order is not matched with a corresponding execution department;
if so, performing semantic splitting on the reported information to generate a plurality of identification characters;
and matching the execution department of each processing work order according to the recognition characters.
According to the item distribution method, the item distribution system, the computer equipment and the medium, after the corresponding processing item is matched according to the reported information, the execution department for execution is automatically identified according to the matching condition of the processing work order and the execution department contained in the processing item, and when the processing work order is not bound with the execution department, the execution department is automatically matched by re-matching the corresponding execution department according to the identification character after the reported information is divided into the identification character by using semantic identification, so that the situation that the corresponding execution department cannot be accurately matched due to unclear authority division of the department is avoided, the problems that in the prior art, when the processing item contains more processing work orders, and when the authority division of the execution department related to the processing work order is not clear enough, the communication coordination efficiency among the execution departments is low easily occur, and the processing efficiency of the processing item is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Wherein:
FIG. 1 is a flow diagram of a method of transaction distribution in one embodiment;
FIG. 2 is a schematic diagram of an embodiment of a transaction distribution system;
FIG. 3 is a block diagram of a computing device in one embodiment.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a method for distributing items, which specifically includes:
s1, reporting information uploaded by a reporting department;
as described in the step S1, the background system obtains the report information sent by the reporting department, and it can be understood that the report information is a higher-level department that can issue a job order task, and the background system refreshes the report information issued by the higher-level department in real time, so that the report information is provided for a person on duty included in the background system to perform viewing processing, and in addition, the report information includes voice information such as voice call recording and character information such as short message and fax information;
in addition, the background system is generally a background server, and in addition, the background system may be an independent server, or may be a cloud server that provides basic cloud computing services such as a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a network service, cloud communication, middleware service, a domain name service, a security service, a Content Delivery Network (CDN), and a big data and artificial intelligence platform, which is not limited in this respect.
S2, according to corresponding processing items matched with the reported information, the processing items comprise a plurality of processing work orders;
as described in the step S2, the back-end system matches the corresponding processing items according to the report information, and it can be understood that the processing items are essentially a single item processing flow, and the back-end system pre-stores a plurality of different types of processing items, and the processing items include a plurality of processing work orders that need to be processed by the other departments synchronously or in a set sequence
S3, judging whether each processing work order is not matched with a corresponding execution department;
as described in step S3 above, the background system determines whether the processing work order included in the processing item is bound with a corresponding execution department, and when each processing work order included in the processing item is bound with a unique corresponding execution department, the background system determines that there is no chaotic role division between the execution departments, whereas when the background system determines that each processing work order included in the processing item is not bound with an execution department or binds multiple execution departments, the background system determines that there is a chaotic role division between the execution departments, and performs step S4;
s4, if so, performing semantic splitting on the reported information to generate a plurality of recognition characters;
as described in the step S4, when the background system determines that each processing work order included in the processing event is not bound to an execution department or is bound to multiple execution departments, the background system may use the semantic recognition system to recognize the reported information, so as to split the reported information into multiple recognition characters;
for example, the background system may perform semantic splitting on the reported information by using a preset semantic recognition technology such as ASR and NLP, so as to split the reported information into an adverb character AD and a main word character NN, where it can be understood that the adverb character AD is an adverb included in the character information, and all the characters remaining in the character information except the adverb character AD are main word characters NN, and then the background system marks the main word character NN as a recognition character.
And S5, matching the execution department of each processing work order according to the recognition characters.
As described in step S5 above, the background system matches the execution department that processes each work order according to the recognition characters generated by semantic recognition, which is specifically represented as: the method comprises the steps that an execution department binds a plurality of matched characters in advance, when the matched characters are matched with identification characters, a background system judges that the identification characters are matched with the execution department, and similarly, a processing work order containing the identification characters is matched with the execution department, and the execution department needs to process the processing work order, so that the problem that events are pushed too slowly due to disorder of responsibility division among the execution departments is solved;
it can be understood that, in this embodiment, the allocating staff corresponding to the background system may set the executing department directly binding the corresponding executing department according to the executing department matched with the processing work order, and may also manually allocate the executing department by using the executing department successfully matched as a reference.
According to the method, the execution department for execution is automatically identified according to the matching condition of the processing work order and the execution department contained in the processing item after the corresponding processing item is matched according to the reported information, and when the processing work order is not bound with the execution department, the reporting information is split into the identification characters by using semantic identification, and then the corresponding execution department is re-matched according to the identification characters, so that the automatic matching of the execution department is realized, the situation that the corresponding execution department cannot be accurately matched due to unclear authority division of the department is avoided, the problems that in the prior art, when the processing work order contained in the processing item is more, and when the authority division of the execution department involved in the processing work order is not clear, the communication and coordination efficiency is low easily occur among the execution departments are solved, and the processing efficiency of the processing item is improved.
In an embodiment, the step S5 specifically includes:
s51, after each processing work order is switched to a state to be dispatched, a first preset word stock matched with the execution department is obtained, whether the matching number between the identification characters and the first preset word stock exceeds a preset threshold value matched with the execution department or not is judged, if yes, the processing work orders are bound with the execution department, and therefore the processing work orders are determined to be executed by the execution department which is bound successfully.
As described in the foregoing embodiment, the background system first switches all processing work orders included in the processing item to a state to be assigned, and then the background system obtains a first preset word bank matched with all execution departments, where it can be understood that the first preset word bank is a keyword bank matched with the execution departments, and then the background system determines whether the matching number of phrases between the recognition character and the keyword bank exceeds a preset threshold value matched with the execution departments, and it can be understood that the preset threshold value can be set by the user, and when the matching number of phrases between the recognition character and the keyword bank exceeds the preset threshold value, the background system binds the processing work order corresponding to the recognition character with the execution departments corresponding to the keyword bank, thereby determining that the processing work order will be executed by the execution departments that have been successfully bound.
In an embodiment, the step S5 further includes:
s52, obtaining historical disposal data of the processing work order, wherein the historical disposal data comprises historical reported information, historical sources and historical execution departments matched with the processing work order, training a preset classification model according to the historical disposal data to generate a final matching model, inputting the recognition characters into the final matching model for calculation, outputting a final execution department, and binding the final execution department with the processing work order matched with the recognition characters to determine that the processing work order is to be executed by the final execution department.
As described in the foregoing embodiment, the background system obtains the historical processing data of the processing work order, and it is understood that the historical processing data is historical distribution data of the processing work order, and includes historical report information, historical sources, and historical execution departments, where the historical report information, the historical sources, and the historical execution departments are respectively report information corresponding to the processing work order in the historical data, report sources, and execution departments, and then the background system obtains a preset classification model, and inputs the historical processing data into the preset classification model for model training, so as to form a final matching model, and finally the background system inputs the identification characters corresponding to the processing work order into the final matching model for calculation, and outputs the final execution department.
In an embodiment, the step of training a preset classification model according to the historical treatment data to generate a final matching model specifically includes:
and S53, storing the historical reported information, the historical source and the historical execution department in a preset training table as a training basis of the preset classification model, and acquiring a preset industry segmentation dictionary as a model segmentation basis.
As described in the foregoing embodiment, the background system obtains the preset training table, and it can be understood that the preset training table is used to input data contained in the preset training table into the preset classification model for training, and then the background system stores historical report information, the historical source, and the historical execution department in the preset training table as a training basis of the preset classification model, and then presets an industry segmentation dictionary as a model segmentation basis.
In one embodiment, the step of inputting the recognition character into the final matching model for calculation and outputting a final execution department includes:
and S53, inputting the recognition characters into the final matching model for prediction restoration so as to output a prediction parameter set, inputting the prediction parameter set into the final matching model again for prediction so as to output a final matching feature, wherein the final matching feature is contained in the recognition characters, and the corresponding execution department is matched according to the final matching feature.
As described in the foregoing embodiment, the background system inputs the recognition character into the final matching model for prediction restoration, outputs the prediction parameter set generated by the first restoration, and then inputs the prediction parameter set into the final matching model for prediction by the background system, thereby outputting the final matching feature.
In an embodiment, after the step S3, the method further includes:
and S31, if not, judging whether the execution department corresponding to part of the processing work orders is not matched exists, if so, switching each processing work order into a state to be assigned, acquiring the execution department successfully matched with the processing work order, recording the execution department as the department to be pushed, acquiring a second preset word stock matched with the department to be pushed, judging whether the matching number between the identification characters and the second preset word stock exceeds a preset threshold value matched with the execution department, and if so, binding the processing work order and the department to be pushed, thereby determining that the processing work order is executed by the department to be pushed which is successfully bound.
As described in the foregoing embodiment, when the background system determines whether part of the processing work orders included in the processing items are bound with the execution department, and meanwhile, when part of the processing work orders are not bound with the execution department, the background system determines that a risk of confusion of division of responsibility exists before each execution department at this time, the background system switches each processing work order into a to-be-dispatched state, and records the execution department bound with the processing work order as a to-be-pushed department, and then the background system acquires a second preset word library matched with the to-be-pushed department, it is understandable that the second preset word library is a key word library matched with the to-be-pushed department, and then the background system determines whether the number of word group matches between the identification character and the key word library exceeds a preset threshold value matched with the to-pushed department, it can be understood that the preset threshold value can be set by the user himself, and when the number of word group matches between the identification character and the key word library exceeds the preset threshold value, the background system binds the processing work order corresponding to the identification character with the key word library, thereby determining that the processing work order is pushed successfully by the background system;
it can be understood that, in this embodiment, the allocating staff corresponding to the background system may set the executing department directly bound according to the to-be-pushed department matched with the processing work order, and may also manually allocate the executing department by using the to-be-pushed department successfully matched as a reference.
In an embodiment, after the step S3, the method further includes:
and S32, if not, judging whether each processing work order is matched with only one execution department, and if so, binding the processing work orders with the execution departments, thereby determining that the processing work orders are executed by the execution departments which are successfully bound.
As described in the above embodiment, when the background system determines that each processing work order included in the processing item is bound to a single execution department, the background system determines that the problem of chaotic division of responsibilities does not exist before each execution department at this time, and at this time, the background system binds the processing work order and the execution department that is singly matched with the processing work order, thereby determining that the processing work order is to be executed by the execution department that has successfully bound;
it can be understood that, in this embodiment, the allocating staff corresponding to the background system may set the executing department directly binding the corresponding executing department according to the executing department matched with the processing work order, and may also manually allocate the executing department by using the executing department successfully matched as a reference.
Referring to fig. 2, the present invention further provides a transaction distribution system, which specifically includes:
the acquisition unit 1 is used for acquiring the report information uploaded by the report department;
the matching unit 2 is used for matching corresponding processing items according to the reported information, and the processing items comprise a plurality of processing work orders;
the judging unit 3 is used for judging whether each processing work order is not matched with a corresponding execution department;
the splitting unit 4 is used for performing semantic splitting on the reported information if the judgment is yes, so as to generate a plurality of identification characters;
and the binding unit 5 is used for matching the execution departments of the processing work orders according to the identification characters.
The units are not described one by one here to implement the item distribution system.
FIG. 3 is a diagram that illustrates an internal structure of the computer device in one embodiment. The computer device may specifically be a server including, but not limited to, a high performance computer and a cluster of high performance computers. As shown in fig. 3, the computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and also stores a computer program, and when the computer program is executed by a processor, the computer program can enable the processor to realize the employee state judgment method. The internal memory may also have a computer program stored therein, which when executed by the processor, causes the processor to perform the item monitoring method.
In one embodiment, the client behavior recognition method provided by the present invention can be implemented in the form of a computer program that can be run on a computer device as shown in fig. 3. The memory of the computer equipment can store various program templates which form the automatic mail classifying and aggregating device. Such as: the device comprises an acquisition unit 1, a matching unit 2, a judgment unit 3, a splitting unit 4 and a binding unit 5.
A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
according to the report information uploaded by a report department, according to the corresponding processing items matched with the report information, wherein the processing items comprise a plurality of processing work orders, whether each processing work order is not matched with a corresponding execution department or not is judged, if yes, the report information is subjected to semantic splitting, a plurality of identification characters are generated, and the execution departments of the processing work orders are matched according to the identification characters.
As can be seen from the above embodiments, the method and the device for processing the events have the greatest beneficial effects that after the corresponding processing events are matched according to the reported information, the execution departments for execution are automatically identified according to the matching conditions of the processing work orders and the execution departments, and when the processing work orders are not bound with the execution departments, the reporting information is split into the identification characters by using semantic identification, and then the corresponding execution departments are re-matched according to the identification characters, so that the automatic matching of the execution departments is realized, the problem that the corresponding execution departments cannot be accurately matched due to unclear authority division of the departments is solved, the problems that in the prior art, the processing work orders contained in the processing events are more, and when the authority division of the execution departments related in the processing work orders is not clear, the communication and coordination efficiency is low easily occur among the execution departments are solved, and the processing efficiency of the processing events 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 non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, databases, or other media used in embodiments provided herein may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), and double data rate.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A transaction distribution method is characterized by specifically comprising the following steps:
according to the reporting information uploaded by the reporting department;
according to the corresponding processing items matched with the reported information, the processing items comprise a plurality of processing work orders;
judging whether each processing work order is not matched with a corresponding execution department;
if so, performing semantic splitting on the reported information to generate a plurality of identification characters;
and matching the execution department of each processing work order according to the recognition characters.
2. The item distribution method according to claim 1, wherein the step of matching the execution section of each of the processing work orders based on the identification characters specifically includes:
after each processing work sheet is switched to a state to be dispatched, a first preset word stock matched with the execution department is obtained;
judging whether the matching quantity between the recognition characters and the first preset word stock exceeds a preset threshold value matched with the execution department,
and if so, binding the processing work order with the execution department, thereby determining that the processing work order is executed by the execution department which is successfully bound.
3. The item distribution method according to claim 1, wherein the step of matching the execution section of each of the processing work orders based on the recognition character further comprises:
obtaining historical disposal data of the processing work order, wherein the historical disposal data comprises historical report information matched with the processing work order, a historical source and a historical execution department;
training a preset classification model according to the historical disposal data so as to generate a final matching model, inputting the recognition characters into the final matching model for calculation, and outputting a final execution department;
and binding the final execution department with the processing work order matched with the identification characters so as to determine that the processing work order is to be executed by the final execution department.
4. The item distribution method according to claim 3, wherein the step of training a preset classification model according to the historical treatment data to generate a final matching model specifically comprises:
storing the historical report information, the historical source and the historical execution department in a preset training table as a training basis of the preset classification model;
acquiring a preset industry word segmentation dictionary as a model word segmentation basis, wherein the preset industry word segmentation dictionary comprises a plurality of industry classification nouns;
circularly matching the historical reported information, the historical source and the historical execution department with the preset industry word segmentation dictionary according to a preset matching mode, and integrating successfully matched characters into a training character set;
and after the characters contained in the training character set are subjected to standardization processing and are recorded as a model training set, inputting the model training set into the preset classification model for training, thereby generating a final matching model.
5. The item distribution method according to claim 4, wherein the step of inputting the recognition character into the final matching model for estimation and outputting the final execution department comprises:
inputting the recognition characters into the final matching model for prediction restoration, thereby outputting a prediction parameter set;
inputting the prediction parameter set into the final matching model again for prediction, thereby outputting a final matching feature, which is included in the recognition characters;
and matching the corresponding execution department according to the final matching features.
6. The item distribution method according to claim 1, wherein after the step of determining whether each of the processing work orders does not match the corresponding execution department, the method further comprises:
if not, judging whether part of the processing work orders do not match the corresponding execution department;
if yes, switching each processing work order to a to-be-dispatched state, acquiring an execution department successfully matched with the processing work order, and recording as a to-be-pushed department;
acquiring a second preset word stock matched with the department to be pushed;
judging whether the matching quantity between the recognition characters and the second preset word stock exceeds a preset threshold value matched with the execution department or not,
and if so, binding the processing work order with the department to be pushed, thereby determining that the processing work order is executed by the successfully bound department to be pushed.
7. The item distribution method according to claim 1, wherein after the step of determining whether each of the processing work orders does not match the corresponding execution department, the method further comprises:
if not, judging whether each processing work order is matched with one execution department or not;
and if so, binding the processing work order with the execution department, thereby determining that the processing work order is executed by the execution department which is successfully bound.
8. A transaction distribution system, comprising:
the acquisition unit is used for acquiring the report information uploaded by the report department;
the matching unit is used for matching corresponding processing items according to the reported information, and the processing items comprise a plurality of processing work orders;
the judging unit is used for judging whether each processing work order is not matched with a corresponding execution department;
the splitting unit is used for performing semantic splitting on the reported information if the judgment is yes, so as to generate a plurality of recognition characters;
and the binding unit is used for matching the execution department of each processing work order according to the identification characters.
9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the item distribution method as recited in any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the item distribution method according to any one of claims 1 to 7.
Priority Applications (1)
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104281698A (en) * | 2014-10-15 | 2015-01-14 | 国云科技股份有限公司 | Efficient big data query method |
| CN114066420A (en) * | 2021-11-18 | 2022-02-18 | 建信金融科技有限责任公司 | Work order distribution method, system, electronic equipment and computer readable medium |
| CN114331198A (en) * | 2021-12-31 | 2022-04-12 | 国泰新点软件股份有限公司 | Work order distribution method, equipment and storage medium |
| CN114936727A (en) * | 2022-01-18 | 2022-08-23 | 中国电信集团工会上海市委员会 | Work order distribution system, method and computer equipment |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104281698A (en) * | 2014-10-15 | 2015-01-14 | 国云科技股份有限公司 | Efficient big data query method |
| CN114066420A (en) * | 2021-11-18 | 2022-02-18 | 建信金融科技有限责任公司 | Work order distribution method, system, electronic equipment and computer readable medium |
| CN114331198A (en) * | 2021-12-31 | 2022-04-12 | 国泰新点软件股份有限公司 | Work order distribution method, equipment and storage medium |
| CN114936727A (en) * | 2022-01-18 | 2022-08-23 | 中国电信集团工会上海市委员会 | Work order distribution system, method and computer equipment |
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