CN110032731B - Enterprise operation range judgment method and device and computer readable storage medium - Google Patents
Enterprise operation range judgment method and device and computer readable storage medium Download PDFInfo
- Publication number
- CN110032731B CN110032731B CN201910167800.5A CN201910167800A CN110032731B CN 110032731 B CN110032731 B CN 110032731B CN 201910167800 A CN201910167800 A CN 201910167800A CN 110032731 B CN110032731 B CN 110032731B
- Authority
- CN
- China
- Prior art keywords
- commodity
- target
- main body
- commodity name
- names
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 39
- 235000021270 cold food Nutrition 0.000 claims description 23
- 238000004140 cleaning Methods 0.000 claims description 8
- 235000013305 food Nutrition 0.000 description 22
- 241000972773 Aulopiformes Species 0.000 description 8
- 240000008415 Lactuca sativa Species 0.000 description 8
- 235000012045 salad Nutrition 0.000 description 8
- 235000019515 salmon Nutrition 0.000 description 8
- 230000002349 favourable effect Effects 0.000 description 6
- 238000005406 washing Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 4
- 230000006399 behavior Effects 0.000 description 2
- 238000005034 decoration Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 239000004973 liquid crystal related substance Substances 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
- G06F40/284—Lexical analysis, e.g. tokenisation or collocates
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- Development Economics (AREA)
- Strategic Management (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Educational Administration (AREA)
- Primary Health Care (AREA)
- Artificial Intelligence (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Computational Linguistics (AREA)
- General Engineering & Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Cash Registers Or Receiving Machines (AREA)
Abstract
The invention discloses a method for judging the enterprise operation range, which comprises the following steps: acquiring a target business main body and a non-target business main body, wherein the business range of the non-target business main body does not include the business range of the target business main body; establishing a commodity name word bank according to the names of the commodities operated by the target operation main body; acquiring a commodity name set of commodities operated by the non-target operation main body; judging whether the commodity names in the commodity name word bank exist in the commodity name set or not; and if the commodity name in the commodity name word bank exists in the commodity name set, determining that the commodity operated by the non-target operation main body exceeds the operation range. The invention also provides an enterprise operation range judging device and a computer readable storage medium. The invention can conveniently and quickly identify whether the enterprise operation exceeds the range.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a method and a device for judging enterprise operation range and a computer readable storage medium.
Background
At present, the 'internet plus' mode brings a new shopping mode for people, more and more people order or shop on the internet, and more network operation practitioners are generated. Supervision departments often supervise whether network operations (such as catering operations) exceed the scope. In the prior art, the mode of checking whether an enterprise operates beyond the range by a supervision department is mostly a mode of on-site inspection. The mode is complex in operation, time-consuming and labor-consuming, and due to limited manpower, part of merchants can be checked in part of time periods, so that the checking is not comprehensive enough, and the checking efficiency is not high.
Disclosure of Invention
The invention provides a method and a device for judging the enterprise operation range and a computer readable storage medium, and mainly aims to conveniently and quickly identify whether the enterprise operation range exceeds the range.
In order to achieve the above object, the present invention further provides a method for determining an enterprise operation range, the method comprising:
acquiring a target business main body and a non-target business main body, wherein the business range of the non-target business main body does not include the business range of the target business main body;
establishing a commodity name word bank according to the names of the commodities operated by the target operation main body;
acquiring a commodity name set of commodities operated by the non-target operation main body;
judging whether the commodity names in the commodity name word bank exist in the commodity name set or not;
and if the commodity name in the commodity name word bank exists in the commodity name set, determining that the commodity operated by the non-target operation main body exceeds the operation range.
Optionally, the creating a name thesaurus of goods according to the name of the goods operated by the target operator includes:
acquiring names of a plurality of commodities operated by the target operator;
carrying out data cleaning on the names of the commodities to obtain a plurality of cleaned commodity names;
acquiring a commodity name with the repetition times larger than a preset time in the plurality of washed commodity names, and calling the commodity name as a target commodity name;
and establishing a commodity name word bank containing the target commodity name.
Optionally, the determining whether the commodity name in the commodity name thesaurus exists in the commodity name set includes:
matching the commodity names contained in the commodity name set with the commodity names in the commodity name word bank, and calculating the matching degree of each commodity in the commodity name set and the words in the commodity name word bank;
judging whether the commodity name set has a commodity name with the matching degree with the vocabulary in the commodity name lexicon larger than a preset matching degree;
and if so, determining that the commodity names in the commodity name word bank exist in the commodity name set.
Optionally, the obtaining the target business entity and the non-target business entity includes:
acquiring an enterprise operation permission information database;
acquiring the operation range description and the operation main body contained in the enterprise operation permission information database;
and dividing the operation main body into the target operation main body and the non-target operation main body according to the operation range description, wherein the target operation main body is a cold food operation main body, and the non-target operation main body is a non-cold food operation main body.
Optionally, after determining that the commodity operated by the non-target operator exceeds the operation range, the method further includes:
and sending risk prompt information of the out-of-range operation of the non-target operation main body to a supervisor.
In order to achieve the above object, the present invention further provides an enterprise operation range determining device, which comprises a memory and a processor, wherein the memory stores an enterprise operation range determining program operable on the processor, and the enterprise operation range determining program, when executed by the processor, implements the steps of:
acquiring a target business main body and a non-target business main body, wherein the business range of the non-target business main body does not include the business range of the target business main body;
establishing a commodity name word bank according to the names of the commodities operated by the target operation main body;
acquiring a commodity name set of commodities operated by the non-target operation main body;
judging whether the commodity names in the commodity name word bank exist in the commodity name set or not;
and if the commodity name in the commodity name word bank exists in the commodity name set, determining that the commodity operated by the non-target operation main body exceeds the operation range.
Optionally, the data set is an array, the protection password is composed of numbers, the enterprise operation range determining program may be further executed by the processor, and the following steps are further implemented:
acquiring names of a plurality of commodities operated by the target operator;
carrying out data cleaning on the names of the commodities to obtain a plurality of cleaned commodity names;
obtaining a commodity name with the repetition times larger than the preset times in the washed commodity names, and referring to the commodity name as a target commodity name;
and establishing a commodity name word bank containing the target commodity name.
Optionally, the enterprise operation range determining program may be further executed by the processor, and further implement the following steps:
matching the commodity names contained in the commodity name set with the commodity names in the commodity name word bank, and calculating the matching degree of each commodity in the commodity name set and the words in the commodity name word bank;
judging whether the commodity name set has a commodity name with the matching degree with the vocabulary in the commodity name lexicon larger than a preset matching degree;
and if so, determining that the commodity names in the commodity name word bank exist in the commodity name set.
Optionally, the enterprise operation range determining program may be further executed by the processor, and further implement the following steps:
acquiring an enterprise operation permission information database;
acquiring the operation range description and the operation main body contained in the enterprise operation permission information database;
and dividing the operation main body into the target operation main body and the non-target operation main body according to the operation range description, wherein the target operation main body is a cold food operation main body, and the non-target operation main body is a non-cold food operation main body.
Optionally, the enterprise operation range determining program may be further executed by the processor, and further implement the following steps:
and after determining that the commodities operated by the non-target operation main body exceed the operation range, sending risk prompt information of the out-of-range operation of the non-target operation main body to a supervisor.
In addition, to achieve the above object, the present invention also provides a computer readable storage medium having an enterprise operation range determining program stored thereon, the enterprise operation range determining program being executable by one or more processors to implement the steps of the enterprise operation range determining method as described above.
The method, the device and the computer readable storage medium for judging the enterprise operating range provided by the invention are used for acquiring a target operating body and a non-target operating body, wherein the operating range of the non-target operating body does not include the operating range of the target operating body; establishing a commodity name word bank according to the names of the commodities operated by the target operation main body; acquiring a commodity name set of commodities operated by the non-target operation main body; judging whether the commodity name in the commodity name word bank exists in the commodity name set or not; and if the commodity name in the commodity name word bank exists in the commodity name set, determining that the commodity operated by the non-target operation main body exceeds the operation range. The commodity name word bank is established according to the names of the commodities operated by the target operation main body, and whether the commodity names in the commodity name word bank exist in the commodity name set of the commodities operated by the non-target operation main body or not is judged, so that whether the commodities operated by the target operation main body exist in the commodities operated by the non-target operation main body or not can be determined.
Drawings
Fig. 1 is a schematic flowchart of a method for determining an enterprise operation range according to an embodiment of the present invention;
fig. 2 is a schematic internal structural diagram of an enterprise operation range determining apparatus according to an embodiment of the present invention;
fig. 3 is a schematic block diagram of an enterprise operation range determining program in the enterprise operation range determining apparatus according to an embodiment of the present invention.
The implementation, functional features and advantages of the present invention will be further described with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
The invention provides a method for judging an enterprise operation range. Fig. 1 is a schematic flow chart of a method for determining an enterprise operation range according to an embodiment of the present invention. The method may be performed by an electronic device.
In this embodiment, the method for determining the business scope includes:
step S10, a target business body and a non-target business body are obtained, and the business range of the non-target business body does not include the business range of the target business body.
The target business body and the non-target business body are both the bodies engaged in business activities.
The scope of business refers to the categories, kinds and service items of goods that the enterprise is allowed to produce and operate. Businesses are generally not allowed to engage in business outside of their business scope.
In this embodiment, since the operation range of the non-target business entity does not include the operation range of the target business entity, there should be no product operated by the target business entity in the products operated by the non-target business entity.
In this embodiment, the number of the target business entities is plural, and the number of the non-target business entities is one, and by this embodiment, it is possible to determine whether the business of the non-target business entities exceeds the range.
For example, the target operation subject is a certain assembly company, and the non-target operation subject is a certain decoration company; or the target business main body is a certain clothing company, and the non-target business main body is a certain food company.
In this embodiment, the target business entity and the non-target business entity may be obtained from a preset database.
Further, in another embodiment of the present invention, the obtaining of the target business entity and the non-target business entity includes:
acquiring an enterprise operation permission information database;
acquiring the operation range description and the operation main body contained in the enterprise operation permission information database;
and dividing the operation main body into the target operation main body and the non-target operation main body according to the operation range description, wherein the target operation main body is a cold food operation main body, and the non-target operation main body is a non-cold food operation main body.
In this embodiment, the enterprise operation permission information database may be a database that stores operation information of the enterprise under supervision.
The enterprise operation permission information database comprises an operation main body and operation range description corresponding to the operation main body, for example, the enterprise operation permission information database comprises company A name and operation range description of company A; company B name and company B business scope description; company C name and a description of company C's scope of operation.
Meanwhile, the enterprise operation license information database may further include data such as an operation behavior of the operation subject.
In this embodiment, the uncooked and chilled food main body includes uncooked food main body and chilled food main body, and the non-uncooked and chilled food main body does not include uncooked food main body and chilled food main body, i.e., the non-uncooked and chilled food main body is an operation main body incapable of operating uncooked and chilled food.
In the embodiment, the target business entity is a cold food business entity, namely the target business entity is all companies which can carry out raw food and cold food business screened from the enterprise business license information database; the non-target operation subject is a cold food operation subject, namely the non-target operation subject is any one of all the companies which do not perform cold food operation and are screened from the enterprise operation permission information database.
And step S20, establishing a commodity name word bank according to the names of the commodities operated by the target operation main body.
In this embodiment, the commodities operated by the target operator may be acquired from the product lists provided by all the target operators.
For example, if the target entities a, B, and C are the food management entities for raw and cold food, the names of the products managed by the target entities are obtained from the sales lists provided by the companies a, B, and C.
In this embodiment, the target business entity includes a plurality of business entities having the same or similar business scope, and the commodity name thesaurus operated by each business entity can be obtained from the plurality of business entities.
In this embodiment, the product name lexicon is established according to names of products operated by the target operator, so that the product name lexicon can accurately reflect in real time which products operated by the target operator are, and further, the method is favorable for accurately judging whether the non-target operator operates beyond the range in real time.
Further, in another embodiment of the present invention, the creating a product name thesaurus according to the names of the products operated by the target operator includes:
acquiring names of a plurality of commodities operated by the target operator;
carrying out data cleaning on the names of the commodities to obtain a plurality of cleaned commodity names;
obtaining a commodity name with the repetition times larger than the preset times in the washed commodity names, and referring to the commodity name as a target commodity name;
and establishing a commodity name word bank containing the target commodity name.
In this embodiment, the data cleaning of the names of the plurality of commodities includes operations of removing errors and incomplete removal of the name data of the plurality of commodities.
Further, the data washing of the names of the plurality of commodities comprises:
(1) Deleting stop words without actual semantics in the names of the commodities, such as single words or words like ' and ' yes '.
(2) Similar names of goods are merged.
The washed commodity names obtained by data washing are more complete and accurate commodity names, so that the obtained times in the word bank are accurate and complete words, subsequent data matching is facilitated, and if data washing is not carried out, the disordered data can reduce the efficiency of subsequent data matching.
The preset number is preset, for example, the preset number is 2 or 3.
In this embodiment, after the target product name is obtained, a plurality of target product names are added to a certain database, thereby completing establishment of a product name lexicon including the target product name.
For example, the target business entity is a cold food business entity, and the obtained thesaurus of names of commodities includes words such as "salad", "tattoo", "salmon", and the like.
When a certain commodity appears only once or appears less frequently, the commodity is not necessarily specific to all target business bodies, and therefore, in this embodiment, the commodity name with the repetition frequency greater than the preset frequency among the washed plurality of commodity names is obtained and called as the target commodity name, and a commodity name word bank is established according to the target commodity name, so that the obtained commodity name word bank can more accurately contain the commodity belonging to the target business body.
And step S30, acquiring a commodity name set of the commodities operated by the non-target operator.
The set of names of commodities operated by the non-target operator may be acquired from a product list provided by the non-target operator.
Similarly, the commodity names of the commodities operated by the non-target operation main body are obtained, then the commodity names are cleaned, and the cleaned commodity names form a commodity name set.
And step S40, judging whether the commodity name in the commodity name word bank exists in the commodity name set or not.
For example, if the product name lexicon includes the words "salad", "tattoo", and "salmon", it is determined whether any of the words "salad", "tattoo", and "salmon" exists in the product name set.
Further, in another embodiment of the present invention, the determining whether the product name in the product name thesaurus exists in the product name set includes:
matching the commodity names contained in the commodity name set with the commodity names in the commodity name word bank, and calculating the matching degree of each commodity in the commodity name set with words in the commodity name word bank;
judging whether the commodity name set has a commodity name with the matching degree with the vocabulary in the commodity name lexicon larger than a preset matching degree;
and if so, determining that the commodity names in the commodity name word bank exist in the commodity name set.
The preset matching rate can be set according to needs, for example, the preset matching rate is 90% or 95%.
When matching is carried out, if the commodity names are completely consistent, the matching rate is 100%, and if the commodity names are not completely consistent, the matching rate is determined according to whether the two matched commodity names contain the same characters and words, the sequence of the characters and the sequence of the words.
When the commodity names included in the commodity name set are matched with the commodity names in the commodity name lexicon, matching rates can be calculated by matching each commodity name (such as the commodity name of m commodities) in the commodity name set with each commodity name in the commodity name lexicon one by one (such as the matching rates are calculated by respectively matching the commodity name of m commodities with each commodity name in the commodity name lexicon), and if the commodity names with the matching rates higher than the preset matching rate exist (such as the commodity names with the commodity name of m commodities higher than the preset matching rate exist in the commodity name lexicon), the commodity names in the commodity name lexicon are determined to exist in the commodity name set.
Step S50, if the commodity name in the commodity name word bank exists in the commodity name set, determining that the commodity operated by the non-target operation main body exceeds the operation range.
In this embodiment, since the operation range of the non-target operator does not include the operation range of the target operator, if it is determined that the product in the product name thesaurus exists in the product name set, it can be determined that the product provided by the non-target operator exceeds the operation range, that is, it is determined that the non-target operator operates in an out-of-range manner.
For example, if the N company is a non-target business entity and the product name thesaurus includes the words "salad", "tattoo" and "salmon", and if there is "tattoo" in the product name set of the N company, it can be determined that the N company is a business over the business scope for the operated product.
Further, in another embodiment of the present invention, after determining that the goods operated by the non-target operator exceeds the operation range, the method further includes:
and sending risk prompt information of the out-of-range operation of the non-target operation main body to a supervisor.
Through sending the risk suggestion to the supervisor, can remind the supervisor immediately after judging that there is the enterprise to manage the out-of-range, be favorable to the supervisor to carry out the pertinence and supervise to be favorable to improving the work efficiency of supervisor.
In the method for determining the business operation range provided in this embodiment, a target business entity and a non-target business entity are obtained, and the business operation range of the non-target business entity does not include the business operation range of the target business entity; establishing a commodity name word bank according to the names of the commodities operated by the target operation main body; acquiring a commodity name set of commodities operated by the non-target operation main body; judging whether the commodity name in the commodity name word bank exists in the commodity name set or not; and if the commodity name in the commodity name word bank exists in the commodity name set, determining that the commodity operated by the non-target operation main body exceeds the operation range. The commodity name word bank is established according to the names of the commodities operated by the target operation main body, and whether the commodity names in the commodity name word bank exist in the commodity name set of the commodities operated by the non-target operation main body or not is judged, so that whether the commodities operated by the target operation main body exist in the commodities operated by the non-target operation main body or not can be determined.
The invention also provides a device for judging the enterprise operation range. Fig. 2 is a schematic diagram of an internal structure of an enterprise operation range determining apparatus according to an embodiment of the present invention.
In the present embodiment, the enterprise operation range determination device 1 may be a PC (Personal Computer), or may be a terminal device such as a smartphone, a tablet Computer, or a mobile Computer. The enterprise operation range determining apparatus 1 includes at least a memory 11, a processor 12, a network interface 13, and a communication bus 14.
The memory 11 includes at least one type of readable storage medium, which includes a flash memory, a hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, and the like. The memory 11 may be an internal storage unit of the enterprise operation range judging device 1 in some embodiments, for example, a hard disk of the enterprise operation range judging device 1. The memory 11 may also be an external storage device of the enterprise operation range determining apparatus 1 in other embodiments, 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 enterprise operation range determining apparatus 1. Further, the memory 11 may include both an internal storage unit of the enterprise operation range determination apparatus 1 and an external storage device. The memory 11 may be used not only to store application software installed in the business segment determining apparatus 1 and various types of data, such as a code of the business segment determining program 01, but also to temporarily store data that has been output or will be output.
The processor 12 may be a Central Processing Unit (CPU), a controller, a microcontroller, a microprocessor or other data Processing chip in some embodiments, and is used for executing program codes or Processing data stored in the memory 11, such as executing the enterprise operation scope determining program 01.
The network interface 13 may optionally include a standard wired interface, a wireless interface (e.g., a WI-FI interface), and is typically used to establish a communication link between the apparatus 1 and other electronic devices.
The communication bus 14 is used to enable connection communication between these components.
Optionally, the apparatus 1 may further comprise a user interface, which may comprise a Display (Display), an input unit such as a Keyboard (Keyboard), and optionally a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display may also be referred to as a display screen or a display unit, where appropriate, for displaying information processed in the enterprise operation area determining apparatus 1 and for displaying a visual user interface.
Fig. 2 shows only the business operation range judging apparatus 1 having the components 11 to 14 and the business operation range judging program 01, and those skilled in the art will understand that the structure shown in fig. 2 does not constitute a limitation of the business operation range judging apparatus 1, and may include fewer or more components than those shown, or a combination of some components, or a different arrangement of components.
In the embodiment of the apparatus 1 shown in fig. 2, the memory 11 stores an enterprise operation range judgment program 01; the processor 12 executes the enterprise operation range determination program 01 stored in the memory 11 to implement the following steps:
the method comprises the steps of obtaining a target business body and a non-target business body, wherein the business range of the non-target business body does not include the business range of the target business body.
The target business entity and the non-target business entity refer to business activities.
The scope of business refers to the categories and kinds of goods and service items that the enterprise is allowed to produce and operate. Businesses are generally not allowed to engage in business outside of the business segment.
In this embodiment, since the operation range of the non-target business entity does not include the operation range of the target business entity, there should be no product operated by the target business entity in the products operated by the non-target business entity.
In this embodiment, the number of the target business entities is plural, and the number of the non-target business entities is one, and by this embodiment, it is possible to determine whether the business of the non-target business entities exceeds the range.
For example, the target operation subject is a certain assembly company, and the non-target operation subject is a certain decoration company; or the target business main body is a certain clothing company, and the non-target business main body is a certain food company.
In this embodiment, the target business entity and the non-target business entity may be obtained from a preset database.
Further, in another embodiment of the present invention, the acquiring the target business entity and the non-target business entity includes:
acquiring an enterprise operation permission information database;
acquiring the operation range description and the operation main body contained in the enterprise operation permission information database;
and dividing the operation main body into the target operation main body and the non-target operation main body according to the operation range description, wherein the target operation main body is a cold food operation main body, and the non-target operation main body is a non-cold food operation main body.
In this embodiment, the enterprise operation permission information database may be a database that stores operation information of the enterprise under supervision.
The enterprise operation permission information database comprises an operation main body and operation range description corresponding to the operation main body, for example, the enterprise operation permission information database comprises company A name and operation range description of company A; company B name and company B business scope description; company C name and company C's operational scope description.
Meanwhile, the enterprise operation license information database may further include data such as an operation behavior of the operation subject.
In this embodiment, the uncooked and chilled food main body includes uncooked food main body and chilled food main body, and the non-uncooked and chilled food main body does not include uncooked food main body and chilled food main body, i.e., the non-uncooked and chilled food main body is an operation main body incapable of operating uncooked and chilled food.
In the embodiment, the target business entity is a cold food business entity, namely the target business entity is all companies which can carry out raw food and cold food business screened from the enterprise business license information database; the non-target operation subject is a cold food operation subject, namely the non-target operation subject is any one of all the companies which do not carry out the cold food operation and are screened from the enterprise operation permission information database.
And establishing a commodity name word bank according to the names of the commodities operated by the target operation main body.
In this embodiment, the commodities operated by the target operator may be acquired from the product lists provided by all the target operators.
For example, if the target business entity is a cold and raw food business entity, company a, company B, and company C, the name of the product operated by the target business entity is obtained from the sales lists provided by company a, company B, and company C.
In this embodiment, the target business entity includes a plurality of business entities having the same or similar business scope, and the commodity name vocabulary managed by each business entity may be obtained from the plurality of business entities.
In this embodiment, the product name lexicon is established according to the product name operated by the target operator, so that the product name lexicon can accurately reflect in real time which products operated by the target operator are, and further, the method is favorable for more accurately judging whether the non-target operator operates beyond the range in real time.
Further, in another embodiment of the present invention, the establishing a commodity name thesaurus according to names of commodities operated by the target operator includes:
acquiring names of a plurality of commodities operated by the target operator;
performing data cleaning on the names of the commodities to obtain a plurality of cleaned commodity names;
obtaining a commodity name with the repetition times larger than the preset times in the washed commodity names, and referring to the commodity name as a target commodity name;
and establishing a commodity name word bank containing the target commodity name.
In this embodiment, the data cleaning of the names of the plurality of commodities includes operations of removing errors and incomplete removal of the data of the names of the plurality of commodities.
Further, the data washing of the names of the plurality of commodities comprises:
(1) Deleting stop words without actual semantics in the names of the commodities, such as single words or words like ' and ' yes '.
(2) And merging similar commodity names.
The washed commodity names obtained by data washing are more complete and accurate commodity names, so that the obtained times in the word bank are accurate and complete words, subsequent data matching is facilitated, and if data washing is not performed, the mixed and disorderly data can reduce the efficiency of subsequent data matching.
The preset number is preset, for example, the preset number is 2 or 3.
In this embodiment, after the target product name is obtained, a plurality of target product names are added to a certain database, thereby completing establishment of a product name lexicon including the target product name.
For example, the target business entity is a cold food business entity, and the obtained thesaurus of names of commodities includes words such as "salad", "tattoo", "salmon", and the like.
When a certain commodity appears only once or appears less frequently, the commodity is not necessarily specific to all target business bodies, and therefore, in this embodiment, the commodity name with the repetition frequency greater than the preset frequency among the washed plurality of commodity names is obtained and called as the target commodity name, and a commodity name word bank is established according to the target commodity name, so that the obtained commodity name word bank can more accurately contain the commodity belonging to the target business body.
And acquiring a commodity name set of the commodities operated by the non-target operation main body.
The set of names of commodities operated by the non-target operator may be acquired from a product list provided by the non-target operator.
Similarly, the commodity names of the commodities operated by the non-target operation main body are obtained, then the commodity names are cleaned, and the cleaned commodity names form a commodity name set.
And judging whether the commodity names in the commodity name word bank exist in the commodity name set or not.
For example, if the product name lexicon includes the words "salad", "tattoo", and "salmon", it is determined whether any of the words "salad", "tattoo", and "salmon" exists in the product name set.
Further, in another embodiment of the present invention, the determining whether the product name in the product name thesaurus exists in the product name set includes:
matching the commodity names contained in the commodity name set with the commodity names in the commodity name word bank, and calculating the matching degree of each commodity in the commodity name set with words in the commodity name word bank;
judging whether the commodity name set has a commodity name with the matching degree with the vocabulary in the commodity name lexicon larger than a preset matching degree;
and if so, determining that the commodity names in the commodity name word bank exist in the commodity name set.
The preset matching rate can be set according to needs, for example, the preset matching rate is 90% or 95%.
When matching is carried out, if the commodity names are completely consistent, the matching rate is 100%, and if the commodity names are not completely consistent, the matching rate is determined according to whether the two matched commodity names contain the same characters and words, the sequence of the characters and the sequence of the words.
When the commodity names included in the commodity name set are matched with the commodity names in the commodity name lexicon, matching rates can be calculated by matching each commodity name (such as the commodity name of m commodities) in the commodity name set with each commodity name in the commodity name lexicon one by one (such as the matching rates are calculated by respectively matching the commodity name of m commodities with each commodity name in the commodity name lexicon), and if the commodity names with the matching rates higher than the preset matching rate exist (such as the commodity names with the commodity name of m commodities higher than the preset matching rate exist in the commodity name lexicon), the commodity names in the commodity name lexicon are determined to exist in the commodity name set.
And if the commodity name in the commodity name word bank exists in the commodity name set, determining that the commodity operated by the non-target operation main body exceeds the operation range.
In this embodiment, since the operation range of the non-target operator does not include the operation range of the target operator, if it is determined that the product in the product name thesaurus exists in the product name set, it can be determined that the product provided by the non-target operator exceeds the operation range, that is, it is determined that the non-target operator operates in an out-of-range manner.
For example, if the N company is a non-target business entity and the product name thesaurus includes the words "salad", "tattoo" and "salmon", and if there is "tattoo" in the product name set of the N company, it can be determined that the N company is a business over the business scope for the operated product.
Further, in another embodiment of the present invention, after determining that the commodity operated by the non-target operator exceeds the operation range, the method further includes:
and sending risk prompt information of the out-of-range operation of the non-target operation main body to a supervisor.
Through sending the risk suggestion to the supervisor, can remind the supervisor immediately after judging that there is the enterprise to manage the out of range, be favorable to the supervisor to carry out the pertinence and supervise to be favorable to improving the work efficiency of supervisor.
The enterprise operation range determining device provided in this embodiment obtains a target operation subject and a non-target operation subject, where an operation range of the non-target operation subject does not include an operation range of the target operation subject; establishing a commodity name word bank according to the names of the commodities operated by the target operation main body; acquiring a commodity name set of commodities operated by the non-target operation main body; judging whether the commodity name in the commodity name word bank exists in the commodity name set or not; and if the commodity name in the commodity name word bank exists in the commodity name set, determining that the commodity operated by the non-target operation main body exceeds the operation range. The commodity name word bank is established according to the names of the commodities operated by the target operation main body, and whether the commodity names in the commodity name word bank exist in the commodity name set of the commodities operated by the non-target operation main body or not is judged, so that whether the commodities operated by the target operation main body exist in the commodities operated by the non-target operation main body or not can be determined.
Alternatively, in other embodiments, the enterprise operation range determining program may be further divided into one or more modules, and the one or more modules are stored in the memory 11 and executed by one or more processors (in this embodiment, the processor 12) to implement the present invention.
For example, referring to fig. 3, a schematic diagram of program modules of an enterprise operation range determining program in an embodiment of the enterprise operation range determining apparatus of the present invention is shown, in this embodiment, the enterprise operation range determining program may be divided into a first obtaining module 10, a building module 20, a second obtaining module 30, a determining module 40, and a determining module 50, and exemplarily:
the first obtaining module 10 is configured to: acquiring a target business main body and a non-target business main body, wherein the business range of the non-target business main body does not include the business range of the target business main body;
the setup module 20 is configured to: establishing a commodity name word bank according to the commodity name operated by the target operation main body;
the second obtaining module 30 is configured to: acquiring a commodity name set operated by the non-target operator;
the judging module 40 is configured to: judging whether the commodity names in the commodity name word bank exist in the commodity name set or not;
the determination module 50 is configured to: and if the commodity name in the commodity name word bank exists in the commodity name set, determining that the commodity operated by the non-target operation main body exceeds the operation range.
The functions or operation steps implemented by the program modules such as the first obtaining module 10, the establishing module 20, the second obtaining module 30, the determining module 40, and the determining module 50 when executed are substantially the same as those of the above embodiments, and are not repeated herein.
Furthermore, an embodiment of the present invention further provides a computer-readable storage medium, where an enterprise operation scope determining program is stored on the computer-readable storage medium, where the enterprise operation scope determining program is executable by one or more processors to implement the following operations:
acquiring a target business main body and a non-target business main body, wherein the business range of the non-target business main body does not include the business range of the target business main body;
establishing a commodity name word bank according to the commodity name operated by the target operation main body;
acquiring a commodity name set operated by the non-target operator;
judging whether the commodity names in the commodity name word bank exist in the commodity name set or not;
and if the commodity name in the commodity name word bank exists in the commodity name set, determining that the commodity operated by the non-target operation main body exceeds the operation range.
The embodiment of the computer-readable storage medium of the present invention is substantially the same as the embodiments of the enterprise operation range determination apparatus and method, and will not be described herein again.
It should be noted that the above-mentioned numbers of the embodiments of the present invention are merely for description, and do not represent the merits of the embodiments. And the terms "comprises," "comprising," or any other variation thereof, herein are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of another identical element in a process, apparatus, article, or method comprising the element.
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 platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention or portions thereof contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) as described above and includes several instructions for enabling a terminal device (which may be a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, and all equivalent structures or equivalent processes performed by the present invention or directly or indirectly applied to other related technical fields are also included in the scope of the present invention.
Claims (8)
1. An enterprise operation range judgment method is characterized by comprising the following steps:
the method comprises the steps that a target business body and a non-target business body are obtained, the business range of the non-target business body does not include the business range of the target business body, and the target business body comprises a plurality of business bodies with the same or similar business ranges;
establishing a commodity name word bank according to names of commodities operated by the target operation main body, wherein the commodity name word bank comprises the names of a plurality of commodities operated by the target operation main body, performing data cleaning on the names of the commodities to obtain a plurality of cleaned commodity names, acquiring commodity names with the repetition times larger than a preset number in the plurality of cleaned commodity names to be called target commodity names, and establishing a commodity name word bank containing the target commodity names;
acquiring a commodity name set of commodities operated by the non-target operation main body;
judging whether the commodity names in the commodity name word bank exist in the commodity name set or not;
and if the commodity name in the commodity name word bank exists in the commodity name set, determining that the commodity operated by the non-target operation main body exceeds the operation range.
2. The method as claimed in claim 1, wherein the determining whether the product name in the product name lexicon exists in the product name set comprises:
matching the commodity names contained in the commodity name set with the commodity names in the commodity name word bank, and calculating the matching degree of each commodity in the commodity name set and the words in the commodity name word bank;
judging whether the commodity name set has a commodity name with the matching degree with the vocabulary in the commodity name lexicon larger than a preset matching degree;
and if so, determining that the commodity names in the commodity name word bank exist in the commodity name set.
3. The method according to any one of claims 1 to 2, wherein the acquiring the target business entity and the non-target business entity comprises:
acquiring an enterprise operation permission information database;
acquiring the operation range description and the operation main body contained in the enterprise operation permission information database;
and dividing the operation main body into the target operation main body and the non-target operation main body according to the operation range description, wherein the target operation main body is a cold food operation main body, and the non-target operation main body is a non-cold food operation main body.
4. The method according to any one of claims 1 to 2, wherein after determining that the commodity operated by the non-target operator exceeds the operation range, the method further comprises:
and sending risk prompt information of the out-of-range operation of the non-target operation main body to a supervisor.
5. An enterprise operation range judging device, comprising a memory and a processor, wherein the memory stores an enterprise operation range judging program operable on the processor, and the enterprise operation range judging program, when executed by the processor, implements the steps of:
the method comprises the steps that a target business main body and a non-target business main body are obtained, the business range of the non-target business main body does not contain the business range of the target business main body, and the target business main body comprises a plurality of business main bodies with the same or similar business ranges;
establishing a commodity name word bank according to names of commodities operated by the target operation main body, wherein the commodity name word bank comprises the steps of acquiring names of a plurality of commodities operated by the target operation main body, carrying out data cleaning on the names of the commodities to obtain a plurality of cleaned commodity names, acquiring commodity names with the repetition times larger than a preset number in the plurality of cleaned commodity names to be called target commodity names, and establishing a commodity name word bank containing the target commodity names;
acquiring a commodity name set of commodities operated by the non-target operation main body;
judging whether the commodity names in the commodity name word bank exist in the commodity name set or not;
and if the commodity name in the commodity name word bank exists in the commodity name set, determining that the commodity operated by the non-target operation main body exceeds the operation range.
6. The enterprise operation range judging device according to claim 5, wherein the enterprise operation range judging program is further executable by the processor to perform the steps of:
matching the commodity names contained in the commodity name set with the commodity names in the commodity name word bank, and calculating the matching degree of each commodity in the commodity name set with words in the commodity name word bank;
judging whether the commodity name set has a commodity name with the matching degree with the vocabulary in the commodity name lexicon larger than a preset matching degree;
and if so, determining that the commodity names in the commodity name word bank exist in the commodity name set.
7. The enterprise operation range judging device according to any one of claims 5 to 6, wherein the enterprise operation range judging program is further executable by the processor to further implement the steps of:
acquiring an enterprise operation permission information database;
acquiring the operation range description and the operation main body contained in the enterprise operation permission information database;
and dividing the operation main body into the target operation main body and the non-target operation main body according to the operation range description, wherein the target operation main body is a cold food operation main body, and the non-target operation main body is a non-cold food operation main body.
8. A computer-readable storage medium, wherein an enterprise operation range determining program is stored on the computer-readable storage medium, and the enterprise operation range determining program is executable by one or more processors to implement the steps of the enterprise operation range determining method according to any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910167800.5A CN110032731B (en) | 2019-03-06 | 2019-03-06 | Enterprise operation range judgment method and device and computer readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910167800.5A CN110032731B (en) | 2019-03-06 | 2019-03-06 | Enterprise operation range judgment method and device and computer readable storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110032731A CN110032731A (en) | 2019-07-19 |
| CN110032731B true CN110032731B (en) | 2023-02-03 |
Family
ID=67235060
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910167800.5A Active CN110032731B (en) | 2019-03-06 | 2019-03-06 | Enterprise operation range judgment method and device and computer readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110032731B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111144821A (en) * | 2019-12-26 | 2020-05-12 | 优农服科技发展(广东)有限公司 | Method, device, equipment and storage medium for feeding pesticides with limited use |
| CN113657977B (en) * | 2021-10-21 | 2022-07-26 | 广州市格利网络技术有限公司 | Intelligent purchasing recommendation method and device based on industrial Internet |
| CN116579786B (en) * | 2023-05-06 | 2023-11-14 | 全拓科技(杭州)股份有限公司 | Data cleaning method and system applied to big data analysis |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104966226A (en) * | 2015-06-11 | 2015-10-07 | 安徽融信金模信息技术有限公司 | Comprehensive enterprise operation condition analysis system |
| CN108090172A (en) * | 2017-12-14 | 2018-05-29 | 湖南铭斯亿通信息科技有限公司 | A kind of monitoring and managing method and system of enterprise operation data |
| CN108717636A (en) * | 2018-03-19 | 2018-10-30 | 杭州祐全科技发展有限公司 | A kind of network ordering intelligent supervision method |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR100491250B1 (en) * | 2002-09-04 | 2005-05-25 | 차상영 | Method and System for registering goods information |
| US20120197676A1 (en) * | 2011-01-31 | 2012-08-02 | Bank Of America Corporation | Evaluating operational maturity of business commodities |
| SG10201701050TA (en) * | 2017-02-09 | 2018-09-27 | The Global Glamour Group Pte Ltd | Computer readable medium and method for franchise |
-
2019
- 2019-03-06 CN CN201910167800.5A patent/CN110032731B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104966226A (en) * | 2015-06-11 | 2015-10-07 | 安徽融信金模信息技术有限公司 | Comprehensive enterprise operation condition analysis system |
| CN108090172A (en) * | 2017-12-14 | 2018-05-29 | 湖南铭斯亿通信息科技有限公司 | A kind of monitoring and managing method and system of enterprise operation data |
| CN108717636A (en) * | 2018-03-19 | 2018-10-30 | 杭州祐全科技发展有限公司 | A kind of network ordering intelligent supervision method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110032731A (en) | 2019-07-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110032731B (en) | Enterprise operation range judgment method and device and computer readable storage medium | |
| CN110716951B (en) | Label configuration method, device and equipment convenient to configure and storage medium | |
| US20190121669A1 (en) | Executing tasks using modular and intelligent code and data containers | |
| CN109544266B (en) | Product data pushing method, device and computer readable storage medium | |
| CN111798264A (en) | Abnormal information identification method and computing device | |
| US20180293662A1 (en) | Method, device, terminal, and storage medium for amending prompt | |
| CN111144970B (en) | Order splitting method and device, electronic equipment and readable medium | |
| US9785918B2 (en) | Predicting the severity of an active support ticket | |
| CN108470305B (en) | Associated transaction identification method, device and storage medium | |
| CN109848052B (en) | Goods sorting method and terminal equipment | |
| US20150346918A1 (en) | Predicting the Severity of an Active Support Ticket | |
| CN113240442A (en) | Agricultural Internet of things agricultural product quality safety tracing method and system | |
| CN107729341B (en) | Electronic device, information inquiry control method, and computer-readable storage medium | |
| CN112308667A (en) | Receiving information setting method and device and electronic equipment | |
| CN111241066A (en) | Automatic operation and maintenance method and device for platform database and computer readable storage medium | |
| CN116308428A (en) | Vehicle accessory management method, device, equipment and medium based on traceability codes | |
| KR20060122372A (en) | Save point application | |
| CN110457021B (en) | Index data processing method, device and computer readable storage medium | |
| US10354313B2 (en) | Emphasizing communication based on past interaction related to promoted items | |
| CN114548886A (en) | Part management method, device and system and computer readable storage medium | |
| CN102571785B (en) | Method and device for solving security problems of terminals | |
| Yan | The modeling and implementation of the asset management system of the automobile maintenance shop Based on RFID | |
| CN110765119A (en) | Client trend change presentation method and device and computer readable storage medium | |
| JP6653604B2 (en) | Information processing apparatus and information processing program | |
| CN106548312B (en) | Terminal device, management device, and management system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20220929 Address after: Room 2601 (Unit 07), Qianhai Free Trade Building, No. 3048, Xinghai Avenue, Nanshan Street, Qianhai Shenzhen-Hong Kong Cooperation Zone, Shenzhen, Guangdong 518000 Applicant after: Shenzhen Ping An Smart Healthcare Technology Co.,Ltd. Address before: 1-34 / F, Qianhai free trade building, 3048 Xinghai Avenue, Mawan, Qianhai Shenzhen Hong Kong cooperation zone, Shenzhen, Guangdong 518000 Applicant before: Ping An International Smart City Technology Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |