CN110288259B - Smart city supervision service method and platform thereof - Google Patents
Smart city supervision service method and platform thereof Download PDFInfo
- Publication number
- CN110288259B CN110288259B CN201910590681.4A CN201910590681A CN110288259B CN 110288259 B CN110288259 B CN 110288259B CN 201910590681 A CN201910590681 A CN 201910590681A CN 110288259 B CN110288259 B CN 110288259B
- Authority
- CN
- China
- Prior art keywords
- score
- supervision
- scoring
- service
- type
- 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 41
- 238000012216 screening Methods 0.000 claims description 18
- 230000002159 abnormal effect Effects 0.000 claims description 15
- 238000004140 cleaning Methods 0.000 claims description 10
- 230000008569 process Effects 0.000 claims description 7
- 238000013075 data extraction Methods 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 6
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 6
- 230000036541 health Effects 0.000 claims description 5
- 239000003814 drug Substances 0.000 claims description 4
- 229940079593 drug Drugs 0.000 claims description 4
- 230000005611 electricity Effects 0.000 claims description 4
- 238000012163 sequencing technique Methods 0.000 claims description 4
- 238000010276 construction Methods 0.000 abstract description 13
- 230000000694 effects Effects 0.000 abstract description 11
- 230000008901 benefit Effects 0.000 description 14
- 230000009286 beneficial effect Effects 0.000 description 12
- 238000004364 calculation method Methods 0.000 description 12
- 238000004891 communication Methods 0.000 description 8
- 238000007726 management method Methods 0.000 description 8
- 239000000047 product Substances 0.000 description 8
- 238000004458 analytical method Methods 0.000 description 6
- 238000012550 audit Methods 0.000 description 6
- 238000011161 development Methods 0.000 description 6
- 239000000463 material Substances 0.000 description 6
- 230000002829 reductive effect Effects 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 5
- 230000000670 limiting effect Effects 0.000 description 5
- 238000012937 correction Methods 0.000 description 4
- 238000011156 evaluation Methods 0.000 description 4
- 238000013461 design Methods 0.000 description 3
- 230000007613 environmental effect Effects 0.000 description 3
- 238000007689 inspection Methods 0.000 description 3
- 230000005856 abnormality Effects 0.000 description 2
- 230000001680 brushing effect Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 230000007812 deficiency Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000001647 drug administration Methods 0.000 description 2
- -1 electricity Substances 0.000 description 2
- 230000004927 fusion Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000011002 quantification Methods 0.000 description 2
- 230000007115 recruitment Effects 0.000 description 2
- 239000013589 supplement Substances 0.000 description 2
- 230000002238 attenuated effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 238000012217 deletion Methods 0.000 description 1
- 230000037430 deletion Effects 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 230000036961 partial effect Effects 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 230000002441 reversible effect Effects 0.000 description 1
- 230000033764 rhythmic process Effects 0.000 description 1
- 238000013077 scoring method Methods 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 239000002453 shampoo Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
Images
Classifications
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- 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
- G06Q30/00—Commerce
- G06Q30/018—Certifying business or products
- G06Q30/0185—Product, service or business identity fraud
-
- 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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A30/00—Adapting or protecting infrastructure or their operation
- Y02A30/60—Planning or developing urban green infrastructure
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Development Economics (AREA)
- Economics (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to the technical field of Internet, and discloses a smart city supervision service method and a platform thereof. The invention can create government supervision service mode and build an integrity system, thereby providing great convenience for the people's clothing and eating residence, namely, on one hand, corresponding credit score values can be obtained by automatically converging and calculating all score event records of supervision objects, and on the other hand, when credit consultation is initiated, proper target supervision objects can be automatically screened, and individual basic information of a plurality of most proper target supervision objects is preferentially fed back to consultants according to the descending order of the credit score values, so that the consultants can intuitively sense the integrity of the target supervision objects, further provide reference value for related economic activities and the like, and make up for the problem of lack of supervision of the integrity system in the conventional urban civilization construction, and timely and effectively respond to common credit demands of public, entity economy, public service units and construction service type government.
Description
Technical Field
The invention belongs to the technical field of Internet, and particularly relates to a smart city supervision service method and a platform thereof.
Background
With the development of urban civilization, the popularization of internet application, the living standard of people is continuously improved, the living rhythm is faster and faster, and the time sensitivity and the time limitation of data acquisition are also more and more important. The intelligent city is combined with the Internet technology through the information technology, so that the operation efficiency of the city infrastructure and the city operation management and public service level are improved. The big data are important information resources for supporting the development of the smart city, the urban operation signs are represented by quantification through the data, and the data of the urban operation signs related to each department are collected through the big data technology, so that a city manager can be helped to collect and analyze the data, and finally, the quantified forms of the urban signs are managed; it can be seen that the integration of data resources in cities is a primary solution to the construction of smart cities.
In addition, consider that there are several requirements such as: (1) at the time of online shopping, the consumer will pay attention to the reputation of the online store; (2) when entering a physical store, the masses would hear a public praise; (3) When the enterprise searches for the partner, the enterprise can verify the trust level and the like through multiple channels. (4) The public and the merchants have deep pain on counterfeit products, especially consumers purchase counterfeit products of well-known brands.
In order to respond to the common reputation demands of the public, entity economy, public service units and construction service type governments, it is necessary to establish an accurate quantification and recommendation method or platform of an integrity system according to information technology and internet technology so as to provide an innovation supervision platform for the service type governments, provide great convenience for the daily life of the masses, provide an integrity environment and great economic benefits for the entity economy of the integrity, and further be beneficial to gradually establishing the health economic order of smart cities.
Disclosure of Invention
In order to solve the problem that the lack of supervision of an honest system exists in the conventional urban civilization construction and the common reputation demands of the public, entity economy, public service units and construction service type governments cannot be responded effectively, the invention aims to provide a smart city supervision service method and a smart city supervision platform, which can create a supervision service mode of the government and establish an honest system, optimize the entity economy environment and investment environment by the honest system, promote the construction of an demonstration type service government, assist the entity economy development and provide great convenience for the clothing and eating and housing of the masses.
The technical scheme adopted by the invention is as follows:
a smart city supervision service method, comprising the steps of:
S101, acquiring all score event record information of a plurality of supervision objects, wherein the score event record information comprises an event unique identifier, score time, score type and score value;
s102, aiming at a single supervision object, calculating to obtain a corresponding credit score value according to all corresponding score event record information;
s103, after receiving a consultation request message from a consultation party, searching a target supervision object according to supervision object screening information in the consultation request message;
s104, aiming at all the searched target supervision objects, sorting from high to low according to the credit score values of the target supervision objects;
s105, pushing individual basic information of X target supervision objects before sequencing to a consultant, wherein the individual basic information comprises supervision object introduction contents, reputation grading values and/or reputation ranking during the consultation, and X is a positive integer.
Preferably, the supervision object comprises a public institution, an economic entity, a natural person and/or a commodity, wherein the public institution comprises an industrial and commercial service unit, a tax service unit, a health service unit, a fire service unit, a municipal approval service unit, a food and drug supervision service unit, a car house supervision service unit, a public security service unit, a judicial service unit, a metropolitan management service unit and/or a water, electricity and gas service unit, and the economic entity comprises a national enterprise, a collective enterprise and/or an individual business.
Preferably, the scoring type comprises an administrative comprehensive assessment scoring type, a public service unit scoring type, a business cooperation unit scoring type, a public scoring type, a authorities assessment scoring type and/or a supervision object internal assessment scoring type.
Preferably, in the step S102, the reputation score value is calculated as follows:
s201, aiming at single scoring event record information, carrying out attenuation processing on the scoring value according to the length of the distance from the scoring time to the current time, wherein the longer the time distance is, the more attenuation is, the shorter the time distance is, and the less attenuation is;
s202, aiming at single scoring event record information, obtaining a corresponding weight coefficient according to a scoring type table;
s203, calculating and obtaining a credit score value P according to the following formula x ：
Wherein N is the total number of scoring event record information, i is a natural number, and κ i The weighting coefficients of the information are recorded for the ith scoring event,
and recording the effective score value obtained by the attenuation processing of the information for the ith scoring event.
Further preferably, in the step S201, the score value is attenuated according to the following formula:
wherein d i Recording the original score value, gamma, of the information before the decay process for the ith scoring event d A score attenuation coefficient of between 0 and 1, T d For the score decay period, t is the time distance from the score time to the current time.
Further preferably, before the step S201, the method further includes the following steps:
s200, carrying out abnormal cleaning on all score event record information of the supervision object.
Preferably, the supervision object screening information comprises service requirement screening information and/or geographical range screening information.
Preferably, before the step S101, the method further includes the following steps:
s100, generating an event unique identifier immediately after original score record data of a supervision object are acquired, extracting score time, score type and score value from the original score record data, and binding the obtained event unique identifier, score time, score type and score value with the unique identifier of the supervision object and storing the obtained event unique identifier, score time, score type and score value in a data center.
Preferably, after the original score record data of the different heterogeneous databases are obtained in the step S100, for each heterogeneous database, a corresponding standard data extraction template is found from the standard template library, and then the standard data extraction template is used to extract the score time, the score type and the score value from the corresponding original score record data.
The other technical scheme adopted by the invention is as follows:
a smart city supervision service platform comprises an acquisition module, a calculation module, a search module, a sequencing module and a pushing module:
the acquisition module is used for acquiring all score event record information of a plurality of supervision objects, wherein the score event record information comprises an event unique identifier, score time, score type and score value;
the calculation module is in communication connection with the acquisition module and is used for calculating corresponding credit scoring values according to all corresponding scoring event record information aiming at a single supervision object;
the searching module is used for searching a target supervision object according to the supervision object screening information in the consultation request message after receiving the consultation request message from the consultation party;
the sorting module is respectively in communication connection with the calculation module and the searching module and is used for sorting all searched target supervision objects from high to low according to the credit score values of the target supervision objects;
the pushing module is in communication connection with the ordering module and is used for pushing individual basic information of X target supervision objects before ordering to the consultant, wherein the individual basic information comprises the introduction content of the supervision objects, the credit score value and/or the credit ranking in the current consultation, and X is a positive integer.
The beneficial effects of the invention are as follows:
(1) The invention provides a smart city supervision service method capable of creating government supervision service modes and establishing an integrity system, namely, on one hand, corresponding reputation score values can be obtained by automatically converging and calculating all score event records of supervision objects, on the other hand, when reputation consultation is initiated, proper target supervision objects can be automatically screened, and individual basic information of a plurality of most proper target supervision objects is preferentially fed back to consultants according to the high-to-low order of the reputation score values, so that the consultants can intuitively sense the integrity of the target supervision objects, further provide reference values for related economic activities and the like, and make up for the problem of integrity system supervision deficiency existing in the conventional city civilization construction, and timely and effectively respond to common reputation demands of public, entity economy, public service units and construction service type governments;
(2) Economic benefit analysis: the method is beneficial to building economic highways, establishing honest order, optimizing investment environment, being beneficial to quotation and quotation, being beneficial to accurate support of banks and obviously being beneficial to physical economic construction; an honest system can be established, dead account and rotting account triangular debt can be avoided, the economic efficiency of a local entity is obviously improved, the business cost is greatly reduced, the economic environment is obviously improved, and the economic benefit is obviously improved; the overall economic scale can be greatly increased, the electronic transaction form is clear and can be checked, the integrity is transparent, the tax is transparent, and the financial tax income of local government is obviously improved; the method is beneficial to the government to macroscopically monitor economic dynamics under an integrity system, acutely manage abnormal conditions, warn risk investment and fully embody the advantages of big data smart city management; the method can facilitate the continuous and comprehensive access of various large, medium and small enterprises, merchants and shops, can collect pushing service fees in a business mode, can reach hundreds of millions of yuan each year, and provides hundreds of employment posts; the electronic payment and the integrity guarantee can be associated, so that the economic scale of the dominable funds is enlarged by more than 10%;
(3) Social benefit analysis: the comprehensive service platform of the honest system can be created, an innovation supervision platform is provided for a service government, great convenience is provided for the daily life of the masses, honest environment and huge economic benefits are provided for the honest entity economy, and the healthy economic order of the smart city is gradually established; with the extended supervision application of the integrity system, social activities can become habit of checking integrity, impersonation, marketing, illegal collection and everywhere, and the limitation of the trust losing units and individuals is an important means for suppressing economic crimes;
(4) Development benefit analysis: the system can build entity economy for developing an integrity system, and extend to urban public service, recruitment, social contact and social security successively, gradually go deep into each corner of the city, the integrity is a proposition of the entity economy, the integrity is an entrance evidence of social activities, and the integrity is lost; the system can make the normal supervision service of the government widely and deeply, the service of the staff accepts the transparent supervision of the public, thoroughly twists the work and the wind of the government, builds an exemplary service type government, and makes people fully feel the careless service. The deep fusion of the integrity system and the entity economy becomes a label of a smart city and becomes an epoch-making mark;
(5) The method can carry out individual integrity modeling on the supervision object based on a large number of publicable discrete data, and enables the individual integrity data after modeling to be publically and searchable, does not relate to secrets or individual privacy and the like, and is convenient for social acceptance and popularization.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of a smart city supervision service method provided by the invention.
Fig. 2 is a schematic structural diagram of the smart city supervision service platform provided by the present invention.
Detailed Description
The invention will be further elucidated with reference to the drawings and to specific embodiments. It should be noted that the description of the exemplary embodiments is for aiding in understanding the present invention, but is not intended to limit the present invention. Specific structural and functional details disclosed herein are merely representative for purposes of describing example implementations of the invention. This invention may, however, be embodied in many alternate forms and should not be construed as limited to the embodiments set forth herein.
It will be understood that, although the terms first, second, etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another element. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of example embodiments of the present invention.
It should be understood that for the term "and/or" that may appear herein, it is merely one association relationship that describes an associated object, meaning that there may be three relationships, e.g., a and/or B, may represent: a alone, B alone, and both a and B; for the term "/and" that may appear herein, which is descriptive of another associative object relationship, it means that there may be two relationships, e.g., a/and B, it may be expressed that: a alone, a alone and B alone; in addition, for the character "/" that may appear herein, it is generally indicated that the context associated object is an "or" relationship.
It will be understood that when an element is referred to herein as being "connected," "connected," or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may be present. In contrast, when an element is referred to herein as being "directly connected" or "directly coupled" to another element, it means that there are no intervening elements present. In addition, other words used to describe relationships between elements (e.g., "between … …" pair "directly between … …", "adjacent" pair "directly adjacent", etc.) should be interpreted in a similar manner.
It is to be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments of the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises," "comprising," "includes," "including" and/or "including," when used herein, specify the presence of stated features, integers, steps, operations, elements, and/or components, and do not preclude the presence or addition of one or more other features, quantities, steps, operations, elements, components, and/or groups thereof.
It should be appreciated that in some alternative embodiments, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may in fact be executed substantially concurrently or the figures may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
It should be understood that specific details are provided in the following description to provide a thorough understanding of the example embodiments. However, it will be understood by those of ordinary skill in the art that the example embodiments may be practiced without these specific details. For example, a system may be shown in block diagrams in order to avoid obscuring the examples with unnecessary detail. In other instances, well-known processes, structures, and techniques may be shown without unnecessary detail in order to avoid obscuring the example embodiments.
Example 1
As shown in fig. 1, the smart city supervision service method provided in this embodiment includes the following steps S101 to S105.
S101, obtaining all score event record information of a plurality of supervision objects, wherein the score event record information can include, but is not limited to, event unique identifiers, score time, score types, score values and the like.
In the step S101, the supervision object may include, but is not limited to, a public institution, an economic entity, a natural person, and/or a commodity, wherein the public institution may include, but is not limited to, a business service unit, a tax service unit, a health service unit, a fire service unit, a municipal approval service unit, a food and drug supervision service unit, a car house supervision service unit, a public security service unit, a judicial service unit, a metropolitan service unit, and/or a water, gas, service unit, and the like, and the economic entity may include, but is not limited to, a national enterprise, a collective enterprise, and/or an individual business, and the like.
In the step S101, all score event record information of the supervision object may be acquired from the data center. The data center is configured to obtain various original score record data in an original working platform database of government departments, public service units, economic entities and the like, and identify standardized score event record information from the original score record data, that is, preferably, before the step S101, the data center further includes the following steps: s100, generating an event unique identifier immediately after original score record data of a supervision object are acquired, extracting score time, score type and score value from the original score record data, and binding the obtained event unique identifier, score time, score type and score value with the unique identifier of the supervision object and storing the obtained event unique identifier, score time, score type and score value in a data center. Wherein the event unique identifier may be, but is not limited to, a character string composed of a hash value of the original score record data and a random algorithm calculated value; the supervision object is uniquely identified as an officially pre-manufactured unique code, such as an institution code, an identification card number or a commodity code, etc. In addition, considering that the various types of original score record data in the databases of different working platforms are heterogeneous data, it is further preferred that, after the original score record data of the different heterogeneous databases are obtained in the step S100, for each heterogeneous database, a corresponding standard data extraction template which is prefabricated in advance is found out from the standard template library, and then the score time, the score type, the score value, and the like are extracted from the corresponding original score record data using the standard data extraction template. In detail, for the purpose of distinguishing different industries or different applications, the scoring event record information may also include, but is not limited to, information such as a database version code, an industry size class code, a corresponding economic entity code, a time and place code, a code of each government supervision department, a product size class label, a serial number label, and/or a comparison label.
In the scoring event record information, the scoring type may include, but is not limited to, an administrative comprehensive assessment scoring type, a public service unit scoring type, a business cooperation unit scoring type, a public scoring type, a governing department assessment scoring type, and/or a supervision object internal assessment scoring type, etc.
Various types of scores are illustrated below with the supervising subject as an economic entity.
(11) The administrative comprehensive assessment scoring type can be composed of three parts, namely a basic score, an administrative punishment deduction and a honor deduction granted/admitted by the government.
(111) Base score: the economic entity uploads various government approval data, the data are complete, and the full scale is 40 minutes. For example, the business information is transmitted, the formal registration is completed, and the full score is defaulted; after running for a period of time, the same industry is compared, obvious missing data is verified, a county supervisor sends out a requirement of limiting period to supplement certain data, and the county supervisor is not supplemented and is deducted according to proportion. For another example, the effective time of various government approval materials is read regularly, the effective time is close to expiration, the requirement of updating the materials is automatically sent, the materials are not updated after overtime, and the basic scores are gradually reduced. In addition, if the business information is not uploaded, only temporary registration is performed, the basic score of the administrative comprehensive assessment is 0, and the administrative penalty deduction is not calculated; after the data is uploaded, before the supervisor is not audited, the state is not audited; the data is modified by the economic entity which passes the auditing, and the data is in the original state before the auditing again. Temporary registration is not audited, so that the supervisor can design 4 states: pass audit (base full score), pass audit (incomplete data, withhold in proportion), fail audit (score 0), pending audit (score 0), wherein for pending audit (score 0): the administrative staff of county accumulates experience, to suspected illegal fund, pass, fake charitable, reaction organization economic entity, even if uploading the data is complete, the conclusion of the audit is to be audited (0 point);
(112) Administrative penalty points: the method consists of single-item assessment of each industry (for example, urban management on store assessment), takes month as an assessment period (also can take quarterly or annual according to the situation as an assessment period), and has the same template, different assessment content and detail. Taking urban management as an example of store assessment: and recovering full score 100 at the beginning of month, photographing the illegal problems according to the formulated deduction rule, selecting category, score, proportion and correction time limit, and accumulating deductions. The deducted unit can select complaints (deduction repeat request cancel, deduction unit error request change, deduction item error request change) or apply for correction and deduction. After the correction is completed within the specified time limit, the photographing application is halved and deducted, and the application cannot be performed after overtime. Each deduction problem can only be selected to complain or apply for modification to reduce the deduction 1 time. The administrative punishment unit is used for supervising the personnel to process the proposed complaints and the application; untreated for more than 24 hours, pass by default. The deduction reaches 100, the administrative penalty is executed, and the score is recovered to be full after the penalty. And the same template is adopted for other administrative units, and the accounts and deduction rules of the administrative unit administrators are increased. In addition, aiming at the deduction score obtained by government supervision and examination or administrative punishment, the method can also carry out single real-time attenuation calculation on each deduction score, and can respectively endow different deduction scores and attenuation periods by considering the difference of various lines, industries and various punishment problems. For example, environmental penalties pollute the environment, and the points of deduction and decay periods can vary widely compared to urban management penalties for throwing rubbish in order to highlight the supervisory importance of the environmental sector.
(113) Honor awarded/acknowledged by government is divided into: if economic entities are highlighted in various government-dominated activities, a credit may be given to a credit of a certain amount, which may also be subjected to a single real-time decay calculation, when the government grants honor or when the honor granted by various large social organizations is publicly admitted by the government (e.g., earthquake relief, donation, public welfare, etc.).
(12) The public service units are scored, and the public service units (water, electricity, gas, communication, property, logistics, communities and the like) provide deduction basis, such as public facility damage, public expense rejection, property expense deduction, and the score is kept unchanged during the validity period (such as month, quarter or year) according to the deduction rule established by the supervision service platform. Finishing the rectification and eliminating the buckling.
(13) The business partner entity scoring type provides withholding evidence by the transaction parties, including banks, delinquent contractual funds, delinquent payouts, and the like. The score is kept unchanged during the validity period (such as month, quarter or year) according to the deduction rule established by the supervision service platform. Finishing correction, and buckling according to the periodic attenuation of the problems.
(14) The type of public scoring, i.e., scoring satisfaction provided by the public after consumption or after being serviced, etc., and complaint response scores. Considering that consumers score in different industries, the validity period should be different (the validity period can be flexibly set between 3 months and 5 years according to practical situations, for example, 150 days). In addition, factors such as brushing score, malicious score and the like are considered, an abnormal data cleaning link can be designed finely, and the abnormal data can be identified manually.
Scoring weight decay description: the weight of the scoring number is linearly reduced along with the time, and the scoring value is unchanged. Example description: 1 person beats 90 points, the effective time of the deduction is half, and the average value is calculated according to the 90 points of 0.5 person. a1, a2, a3 … …, public scoring values (unchanged) during the expiration date; b1, b2 and b3 … …, in the validity period, the public scoring is carried out on the number weight after the time attenuation; final public score (public weight 30 min) =30 x (a1 x b1+a2 x b2+a3 x b3+ … …)/(b1+b2+b3+ … …).
Abnormal data cleaning link: the design of anti-brush score and anti-malicious score. For example: for different industries, considering that the consumption frequency of the general public has obvious difference, only the conditions of corresponding time, corresponding GIS (Geographic Information System or Geo-Information system, geographic information system) range, corresponding preset times and the like are met. For example, steamed stuffed buns can consume up to 20 times per month, large restaurants, up to 5 times per month; the refrigerator is purchased for no more than 3 times in 5 years. And once the number of times exceeds, reducing the weight of the number of scoring people, wherein the limit weight is 0, namely cleaning the abnormal scoring data. In addition, the following auxiliary means can be adopted: for low scores of more than 2 times, the economic entity can initiate malicious score complaints, and the supervision service platform is required to conduct manual auditing.
(15) The main department checks and scores the type, regard month as the check period (can also regard quarterly or annual, etc. as the check period according to the situation), the superordinate supervision department of the supervision object carries on operations such as scoring or withholding, etc. for example, the department of building property is to the property company; the civil authorities pair home administration companies and nurse companies; the church is applied to various training institutions and the like. It may be, but not limited to, made up of a case quality score, a administrative penalty score, a case number score, and an error back-off case number score, where in detail, these scores may be provided with different weighting coefficients, for example, 60% for the case quality score, 30% for the administrative penalty score, 5% for the case number score, and 5% for the error back-off case number score.
(151) The case handling quality score, i.e. the average value of the case handling quality score for the present cycle, may be calculated in particular as follows (weight 50 example calculation): no case, full 50; the case scores of the case with the junction are accumulated (the case score of the case with the junction is fully divided into a value of 1 in time, the case score of the case with the junction is 0.7 in time, the case score of the case without the junction is 0), the average value is obtained by dividing the total number of cases, and finally the score = average value is 50.
(152) Administrative punishment deduction of the authorities, namely deduction items are formulated by the authorities, and comprise that the authorities check and deal with the fire fighting access without stopping, report illegal buildings, check oil-water separators of catering enterprises and the like.
(153) The number of cases is scored, the more the number m of cases in the period is, the lower the score is, the allowable number n (the minimum is 1 and is set by an internal examination supervisor according to the actual condition of the size of the management area), and when the number m of cases in the period is less than or equal to n, the number is fully 10; when the number m of cases is more than n, the cases are buckled according to the excess proportion.
(154) The number of cases with error rollback scores, and no rollback is allowed for all assigned cases or claimed cases. And (3) identifying the error rollback case, judging whether the final office rolls back the case (without the case which is sent again after being split), automatically counting 1 minute each time, and finishing the deduction.
(16) The type of evaluation score for the internal examination of the supervising object, taking months as an examination period (may also take quarters or years as an examination period according to circumstances), performing operations such as scoring or withholding by the internal supervising department of the supervising object, for example, environmental sanitation, water, electricity, gas, communication internal examination, may be, but not limited to, forming by the office quality score (specifically, reference may be made to the office quality score 501), the internal examination withholding (the unit internally formulates a rule of the inspection withholding, for example, a reflective vest is not worn, dangerous work, a working discipline is violated, etc., and the time-out is completed), the case number score ((specifically, reference may be made to the case number score 503) and the time-out case score (the case with a lower-stage claim flag is dispatched to the unit, or the unit sets a lower-stage claim flag, the case returns to time-out, and the case returns to time-out for handling, the case returns to time-out for the last time-out case, the case time of handling is recognized for more than 4 hours, and the case time of the time-out for the last time-out case returns to the case, automatically calculating each 1 score, and the time-out) etc., wherein the detailed weight is set to be different weight, and the case number score (particularly, for example, the case number score with a priority score with a priority of the priority is 10% and the case number score is set as a factor of 10% and the time-out factor is set, and the case number score weight, and the case number score with a priority score is set as 10.
Various types of scores are described below with respect to a supervision object as a commodity.
(21) The administrative comprehensive assessment scoring type can be mainly characterized as marketing approval scoring: similar to the basic score of the economic entity, various government approval data of the commodity is uploaded by the commodity operator, and if the data is complete, 40 points are fully divided. Such as marketing approval data of a drug administration and quality inspection report data made by a quality inspection department, etc., defaulting to full score; after running for a period of time, the same industry is compared, obvious missing data is verified, a county supervisor sends out a requirement of limiting period to supplement certain data, and the county supervisor is not supplemented and is deducted according to proportion. For another example, the effective time of various government approval materials is read regularly, the effective time is close to expiration, the requirement of updating the materials is automatically sent, the materials are not updated after overtime, and the basic scores are gradually reduced.
(22) The score of the business cooperation unit scoring type can be mainly used for scoring channel complaints and certification of original factories and goods supply channels (customs).
(221) Channel complaints are deducted: various withholding evidence is provided by the partner channel for the commodity, such as using bad fittings, delinquent contractual agreements, and expiration certificates, among others. And keeping the deduction value unchanged in the validity period (such as month, quarter or year) according to the deduction rule established by the supervision service platform.
(222) Genuine and supply channel (customs) authentication scoring: the commodity scoring value can adopt a full-value calculation proportion mode, namely that the sale of the well-known brand commodity by the merchant and the imported commodity must be authenticated; namely, the new goods are put on the shelf without authentication, the push proportion value of the goods is calculated according to 90%, and the authentication time and the authentication effective time are set according to different categories; if authentication is obtained (namely, carrying out goods source authentication, commodity sequence or serial number authentication and the like on a well-known brand, and applying for goods with common brands, wherein the goods source authentication, the commodity sequence or the serial number authentication and the like can be required to be carried out), the authentication is marked with a full value; if authentication is not obtained for a long time, the proportion gradually decreases, and the product can be suspected to be a fake or fake item. And if the authentication is not obtained after the authentication time, the push score of the product is 0. Under the supervision mode, the fake and inferior everywhere is hidden, the smuggled articles are exposed rapidly, and can be directly pushed to government supervision departments.
(23) The public scoring type, i.e. the public also provides a satisfaction score after consumption. Considering that consumers score different commodities, the validity period should be different (the validity period can be flexibly set between 3 months and 5 years according to actual conditions, for example, 180 days). In addition, factors such as brushing score and malicious score are considered, and the abnormal data cleaning link can be finely designed to assist in manually identifying the abnormal data. Scoring weight decay description: the weight of the scoring number is linearly reduced along with the time, and the scoring value is unchanged. Example description: 1 person beats 90 points, the effective time of the deduction is half, and the average value is calculated according to the 90 points of 0.5 person. a1, a2, a3 … …, public scoring values (unchanged) during the expiration date; b1, b2 and b3 … …, in the validity period, the public scoring is carried out on the number weight after the time attenuation; final public score (public weight 30 min) =30 x (a1 x b1+a2 x b2+a3 x b3+ … …)/(b1+b2+b3+ … …).
Abnormal data cleaning link: the design of anti-brush score and anti-malicious score. For example: aiming at different products, considering that the consumption frequency of the general public has obvious difference, only the conditions of corresponding time, corresponding GIS range, corresponding preset times and the like are met for scoring. For example, buying a shampoo; the refrigerator is purchased for no more than 4 times in 1 year and for no more than 3 times in 5 years. And once the number of times exceeds, reducing the weight of the number of scoring people, wherein the limit weight is 0, namely cleaning the abnormal scoring data. In addition, the following auxiliary means can be adopted: the commodity operators can initiate malicious scoring complaints for low scores of more than 2 times, and the supervision service platform is required to conduct manual auditing.
(24) The main department performs scoring type, taking month as the assessment period (the quarterly or annual assessment period can be taken as the assessment period according to the situation), and the market supervision department of the commodity performs scoring or deduction and other operations, such as the drug administration performs scoring or deduction on the assessment of the drugs on the market.
If the supervision target is a public institution or a natural person, the corresponding original score record data can be obtained by referring to a combination of partial scoring methods similar to those of the economic entity or the commodity.
S102, calculating corresponding credit scoring values according to all corresponding scoring event record information aiming at a single supervision object.
In the step S102, the reputation score value of the single supervision object may be updated and calculated periodically or after receiving new score event record information. Preferably, the reputation score value may be calculated, but is not limited to, as follows: s201, aiming at single scoring event record information, carrying out attenuation processing on the scoring value according to the length of the distance from the scoring time to the current time, wherein the longer the time distance is, the more attenuation is, the shorter the time distance is, and the less attenuation is; s202, aiming at single scoring event record information, obtaining a corresponding weight coefficient according to a scoring type table; s203, calculating and obtaining a credit score value P according to the following formula x ：
Wherein N is the total number of scoring event record information, i is a natural number, and κ i The weighting coefficients of the information are recorded for the ith scoring event,
and recording the effective score value obtained by the attenuation processing of the information for the ith scoring event.
Before the step S201, considering that there is an abnormal record in the scoring event record information of the data center, for example, an abnormal condition such as no-scoring time, no-scoring type or score value exceeding the rated range, the method preferably further includes the steps of: s200, carrying out abnormal cleaning on all score event record information of the supervision object. The method of cleaning the abnormality used may be, but not limited to, performing a deletion process based on the result of conventional abnormality recognition.
In the step S201, it is further preferable that the score value is subjected to an attenuation process according to the following formula:
wherein d i Recording the original score value, gamma, of the information before the decay process for the ith scoring event d A score attenuation coefficient of between 0 and 1, T d For the score decay period, t is the time distance from the score time to the current time. Further preferably, in the step S202, for the case where the score types include an administrative integrated assessment score type, a public service unit score type, a business cooperation unit score type, and a public score type, the weight coefficient of the administrative integrated assessment score type may be exemplified by 40%, the weight coefficient of the public service unit score type may be exemplified by 10%, the weight coefficient of the business cooperation unit score type may be exemplified by 20%, and the weight coefficient of the public score type may be exemplified by 30%.
S103, after receiving the consultation request message from the consultation party, searching a target supervision object according to the supervision object screening information in the consultation request message.
In the step S103, the consultant may be, but is not limited to, a public person, a government agency, or an economic entity, etc. The consultation request message is used to initiate a reputation scoring requirement so that the consultant perceives the integrity of the target supervision object intuitively, which may be generated and transmitted by, but not limited to, an electronic device (e.g., a smart phone or computer, etc.) held by the consultant. The supervision object screening information may include, but is not limited to, service requirement screening information and/or geographical range screening information, etc., and the service requirement screening information may be exemplified by a reputation score value range, a supervision object category or a service topic, etc., and the geographical range screening information may be exemplified by a geographical location of a current consultant, a screening geographical range radius, etc. In addition, the specific way of screening and searching the target supervision object can be realized by adopting the existing conventional index searching way or comparison way and the like, but is not limited to the specific way.
S104, sorting from high to low according to reputation scores of all searched target supervision objects.
S105, pushing individual basic information of X target supervision objects before sequencing to a consultant, wherein the individual basic information comprises supervision object introduction contents, reputation grading values and/or reputation ranking during the consultation, and X is a positive integer.
In the step S105, the content of the supervision object introduction may include, but is not limited to, specific content such as a supervision object name, a geographical location where the supervision object is located, and a service scope. Therefore, through the steps S101-S102, all score event records of the supervision objects can be automatically gathered and calculated to obtain corresponding reputation score values, and through the steps S103-S105, when reputation consultation is initiated, proper target supervision objects can be automatically screened, and individual basic information of the most proper and a plurality of target supervision objects is preferentially fed back to a consultant according to the descending order of the reputation score values, so that the consultant can intuitively perceive the integrity of the target supervision objects. For example, reputation comparison recommendation is carried out on similar economic entities or commodities, so that consultants can experience high-quality consumption services, the counterfeit and inferior products are eliminated, the false services are eliminated, and further the health development of economic activities in China is promoted.
After said step S105, the following steps may be further included: s106, providing charging push service by relying on supervision service data is a core benefit of the invention. The specific push service can adopt three types of mathematical models: (1) push merchant service: aiming at the service industry, a business comprehensive evaluation, a GIS and a service bearing capacity are taken as main pushing calculation basis; (2) push commodity service: aiming at the relatively clear commodity demand of consumers, the commodity comprehensive evaluation and the merchant comprehensive evaluation are taken as main pushing calculation basis, and a comparison pushing service is provided; (3) hybrid fuzzy push service: travel, attraction, and a business.
In summary, the smart city supervision service method provided by the embodiment has the following technical effects:
(1) The embodiment provides a smart city supervision service method capable of creating government supervision service modes and establishing an integrity system, namely, on one hand, corresponding reputation score values can be obtained by automatically converging and calculating all score event records of supervision objects, on the other hand, when reputation consultation is initiated, proper target supervision objects can be automatically screened, and individual basic information of a plurality of most proper target supervision objects is preferentially fed back to consultants according to the high-to-low order of the reputation score values, so that the consultants can intuitively sense the integrity of the target supervision objects, further provide reference values for related economic activities and the like, and make up for the problem of integrity system supervision deficiency existing in the conventional city civilization construction, and timely and effectively respond to common reputation demands of public, entity economy, public service units and construction service type governments;
(2) Economic benefit analysis: the method is beneficial to building economic highways, establishing honest order, optimizing investment environment, being beneficial to quotation and quotation, being beneficial to accurate support of banks and obviously being beneficial to physical economic construction; an honest system can be established, dead account and rotting account triangular debt can be avoided, the economic efficiency of a local entity is obviously improved, the business cost is greatly reduced, the economic environment is obviously improved, and the economic benefit is obviously improved; the overall economic scale can be greatly increased, the electronic transaction form is clear and can be checked, the integrity is transparent, the tax is transparent, and the financial tax income of local government is obviously improved; the method is beneficial to the government to macroscopically monitor economic dynamics under an integrity system, acutely manage abnormal conditions, warn risk investment and fully embody the advantages of big data smart city management; the method can facilitate the continuous and comprehensive access of various large, medium and small enterprises, merchants and shops, can collect pushing service fees in a business mode, can reach hundreds of millions of yuan each year, and provides hundreds of employment posts; the electronic payment and the integrity guarantee can be associated, so that the economic scale of the dominable funds is enlarged by more than 10%;
(3) Social benefit analysis: the comprehensive service platform of the honest system can be created, an innovation supervision platform is provided for a service government, great convenience is provided for the daily life of the masses, honest environment and huge economic benefits are provided for the honest entity economy, and the healthy economic order of the smart city is gradually established; with the extended supervision application of the integrity system, social activities can become habit of checking integrity, impersonation, marketing, illegal collection and everywhere, and the limitation of the trust losing units and individuals is an important means for suppressing economic crimes;
(4) Development benefit analysis: the system can build entity economy for developing an integrity system, and extend to urban public service, recruitment, social contact and social security successively, gradually go deep into each corner of the city, the integrity is a proposition of the entity economy, the integrity is an entrance evidence of social activities, and the integrity is lost; the system can make the normal supervision service of the government widely and deeply, the service of the staff accepts the transparent supervision of the public, thoroughly twists the work and the wind of the government, builds an exemplary service type government, and makes people fully feel the careless service. The deep fusion of the integrity system and the entity economy becomes a label of a smart city and becomes an epoch-making mark;
(5) The method can carry out individual integrity modeling on the supervision object based on a large number of publicable discrete data, and enables the individual integrity data after modeling to be publically and searchable, does not relate to secrets or individual privacy and the like, and is convenient for social acceptance and popularization.
Example two
As shown in fig. 2, compared with the first embodiment, the present embodiment provides a smart city supervision service platform based on the same inventive concept, which includes an acquisition module, a calculation module, a search module, a ranking module and a pushing module:
the acquisition module is used for acquiring all score event record information of a plurality of supervision objects, wherein the score event record information comprises an event unique identifier, score time, score type and score value;
The calculation module is in communication connection with the acquisition module and is used for calculating corresponding credit scoring values according to all corresponding scoring event record information aiming at a single supervision object;
the searching module is used for searching a target supervision object according to the supervision object screening information in the consultation request message after receiving the consultation request message from the consultation party;
the sorting module is respectively in communication connection with the calculation module and the searching module and is used for sorting all searched target supervision objects from high to low according to the credit score values of the target supervision objects;
the pushing module is in communication connection with the ordering module and is used for pushing individual basic information of X target supervision objects before ordering to the consultant, wherein the individual basic information comprises the introduction content of the supervision objects, the credit score value and/or the credit ranking in the current consultation, and X is a positive integer.
The specific technical details and the total technical effects of each functional module in this embodiment may be directly derived by referring to the embodiments, and are not described herein.
The various embodiments described above are merely illustrative and may or may not be physically separate if reference is made to the unit being described as separate components; if a component is referred to as being a unit, it may or may not be a physical unit, may be located in one place, or may be distributed over multiple network elements. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some of the technical features thereof can be replaced by equivalents. Such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Finally, it should be noted that the invention is not limited to the alternative embodiments described above, but can be used by anyone in various other forms of products in the light of the present invention. The above detailed description should not be construed as limiting the scope of the invention, which is defined in the claims and the description may be used to interpret the claims.
Claims (7)
1. A smart city supervision service method, comprising the steps of;
s101, acquiring all score event record information of a plurality of supervision objects, wherein the score event record information comprises an event unique identifier, score time, score type and score value;
S102, aiming at a single supervision object, calculating to obtain a corresponding credit score value according to all corresponding score event record information;
s103, after receiving a consultation request message from a consultation party, searching a target supervision object according to supervision object screening information in the consultation request message;
s104, aiming at all the searched target supervision objects, sorting from high to low according to the credit score values of the target supervision objects;
s105, pushing individual basic information of X target supervision objects before sequencing to a consultant, wherein the individual basic information comprises supervision object introduction contents, reputation grading values and/or reputation ranking during the consultation, and X is a positive integer;
in step S102, a reputation score is calculated as follows:
s201, aiming at single scoring event record information, carrying out attenuation processing on the scoring value according to the length of the distance from the scoring time to the current time, wherein the longer the time distance is, the more attenuation is, the shorter the time distance is, and the less attenuation is;
s202, aiming at single scoring event record information, obtaining a corresponding weight coefficient according to a scoring type table;
s203, calculating to obtain a credit score value Px according to the following formula;
wherein N is the total number of scoring event record information, i is a natural number, k i The weighting coefficients of the information are recorded for the ith scoring event,
recording the effective score value of the information obtained after attenuation treatment for the ith scoring event;
in step S201, the score value is subjected to attenuation processing according to the following formula:
wherein d i Recording the original score value, gamma, of the information before the decay process for the ith scoring event d A score attenuation coefficient of between 0 and 1, T d For the score decay period, t is the time distance from the score time to the current time.
2. The smart city supervision service method according to claim 1, wherein the supervision objects comprise business units, economic entities, natural persons and/or goods, wherein the business units comprise business units, tax service units, health service units, fire service units, municipal approval service units, food and drug administration service units, car house administration service units, public security service units, judicial service units, metropolitan service units and/or water, electricity and gas service units, and the economic entities comprise national enterprises, collective enterprises and/or individual business persons.
3. The smart city surveillance service method of claim 1, wherein the scoring type comprises an administrative integrated assessment scoring type, a public service unit scoring type, a business collaboration unit scoring type, a public scoring type, a governing body assessment scoring type, and/or a surveillance object internal assessment scoring type.
4. The smart city supervision service method according to claim 1, further comprising the steps of, prior to step S201;
s200, carrying out abnormal cleaning on all score event record information of the supervision object.
5. A smart city supervision service method according to claim 1, wherein the supervision object screening information comprises service demand screening information and/or geographical range screening information.
6. The smart city supervision service method according to claim 1, further comprising the steps of, prior to step S101;
s100, generating an event unique identifier immediately after original score record data of a supervision object are acquired, extracting score time, score type and score value from the original score record data, and binding the obtained event unique identifier, score time, score type and score value with the unique identifier of the supervision object and storing the obtained event unique identifier, score time, score type and score value in a data center.
7. The smart city supervision service method according to claim 1, wherein after the original score record data of the different heterogeneous databases are obtained in step S100, for each heterogeneous database, a corresponding standard data extraction template is found from the standard template library, and the standard data extraction template is used to extract the score time, the score type and the score value from the corresponding original score record data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910590681.4A CN110288259B (en) | 2019-07-02 | 2019-07-02 | Smart city supervision service method and platform thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910590681.4A CN110288259B (en) | 2019-07-02 | 2019-07-02 | Smart city supervision service method and platform thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110288259A CN110288259A (en) | 2019-09-27 |
| CN110288259B true CN110288259B (en) | 2023-06-09 |
Family
ID=68021744
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910590681.4A Active CN110288259B (en) | 2019-07-02 | 2019-07-02 | Smart city supervision service method and platform thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110288259B (en) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110826875A (en) * | 2019-10-23 | 2020-02-21 | 中南林业科技大学 | Smart city service platform and management method thereof |
| CN110930125A (en) * | 2019-11-29 | 2020-03-27 | 成都中科大旗软件股份有限公司 | Integrity public service system and method for travel industry |
| CN111539663B (en) * | 2020-07-10 | 2020-11-13 | 北京数字政通科技股份有限公司 | Comprehensive law enforcement management and control system and method |
| CN113177676B (en) * | 2020-08-26 | 2024-02-06 | 北京合众伟奇科技股份有限公司 | Operation and maintenance health assessment system and assessment method based on natural logarithmic function |
| CN112966545A (en) * | 2020-12-31 | 2021-06-15 | 杭州拓深科技有限公司 | Average hash-based fire fighting channel occupancy monitoring method and device, electronic device and storage medium |
| CN113269250A (en) * | 2021-05-25 | 2021-08-17 | 国网浙江省电力有限公司综合服务分公司 | Service plate optical disk condition evaluation method |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202502532U (en) * | 2011-08-22 | 2012-10-24 | 广州宽度信息技术有限公司 | Two-dimensional code-based application system for realizing enterprise integrity management |
| CN102831501A (en) * | 2012-08-13 | 2012-12-19 | 管戈 | Interactive type geospatial information based labor service resource management system |
| CN106649453A (en) * | 2016-09-22 | 2017-05-10 | 上海市数字证书认证中心有限公司 | Enterprise credit query and display method and system |
| CN106845730A (en) * | 2017-02-16 | 2017-06-13 | 深圳大学 | A kind of algorithm of credit rating containing when based on scoring network |
| CN107330593A (en) * | 2017-06-20 | 2017-11-07 | 北京市运输管理技术支持中心 | A kind of traffic monitoring inspection and credit worthiness management system |
| JP2018121918A (en) * | 2017-02-01 | 2018-08-09 | 株式会社コロプラ | Method performed in computer, computer, and program |
| CN108717606A (en) * | 2018-06-08 | 2018-10-30 | 北京工商大学 | A kind of food security multiplicity of interests main body credit assessment method based on block chain |
| CN109754132A (en) * | 2017-11-02 | 2019-05-14 | 周金泉 | A kind of ladder level credit estimation method and assessment system |
| CN109871833A (en) * | 2019-03-19 | 2019-06-11 | 广东省农业科学院农业生物基因研究中心 | A kind of crop maturity degree monitoring method based on deep learning convolutional neural networks |
| CN109948939A (en) * | 2019-03-25 | 2019-06-28 | 江苏赛清科技有限公司 | A kind of Industrial Solid Waste supervision main body credit evaluation system |
-
2019
- 2019-07-02 CN CN201910590681.4A patent/CN110288259B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202502532U (en) * | 2011-08-22 | 2012-10-24 | 广州宽度信息技术有限公司 | Two-dimensional code-based application system for realizing enterprise integrity management |
| CN102831501A (en) * | 2012-08-13 | 2012-12-19 | 管戈 | Interactive type geospatial information based labor service resource management system |
| CN106649453A (en) * | 2016-09-22 | 2017-05-10 | 上海市数字证书认证中心有限公司 | Enterprise credit query and display method and system |
| JP2018121918A (en) * | 2017-02-01 | 2018-08-09 | 株式会社コロプラ | Method performed in computer, computer, and program |
| CN106845730A (en) * | 2017-02-16 | 2017-06-13 | 深圳大学 | A kind of algorithm of credit rating containing when based on scoring network |
| CN107330593A (en) * | 2017-06-20 | 2017-11-07 | 北京市运输管理技术支持中心 | A kind of traffic monitoring inspection and credit worthiness management system |
| CN109754132A (en) * | 2017-11-02 | 2019-05-14 | 周金泉 | A kind of ladder level credit estimation method and assessment system |
| CN108717606A (en) * | 2018-06-08 | 2018-10-30 | 北京工商大学 | A kind of food security multiplicity of interests main body credit assessment method based on block chain |
| CN109871833A (en) * | 2019-03-19 | 2019-06-11 | 广东省农业科学院农业生物基因研究中心 | A kind of crop maturity degree monitoring method based on deep learning convolutional neural networks |
| CN109948939A (en) * | 2019-03-25 | 2019-06-28 | 江苏赛清科技有限公司 | A kind of Industrial Solid Waste supervision main body credit evaluation system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110288259A (en) | 2019-09-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110288259B (en) | Smart city supervision service method and platform thereof | |
| Miller et al. | Do female officers improve law enforcement quality? Effects on crime reporting and domestic violence | |
| Weinberg | The price effects of horizontal mergers | |
| Johnson et al. | Community-based operations research | |
| Bhuller et al. | Broadband internet: An information superhighway to sex crime? | |
| Osabuohien | Large-scale agricultural land investments and local institutions in Africa: The Nigerian case | |
| CN112487105A (en) | Construction method of enterprise portrait | |
| CN111192012A (en) | Item processing method, item processing device, server and storage medium | |
| CN104424613A (en) | Value added tax invoice monitoring method and system thereof | |
| KR102121901B1 (en) | System for online public fund investment management assessment service | |
| KR102162982B1 (en) | Real estate transaction service platform and server for providing the same | |
| Islam et al. | Corporate sustainability reporting in the banking sector of Bangladesh: an appraisal of the G4 of the Global Reporting Initiative | |
| Adenya et al. | Factors affecting revenue collection efficiency by county governments in Kenya-A case of Kiambu County | |
| CN115456745A (en) | Small and micro enterprise portrait construction method and device | |
| Dronyk‐Trosper | Searching for goldilocks: The distance‐based capitalization effects of local public services | |
| Manis | Cost-effectiveness in humanitarian aid: localisation programming | |
| Jun et al. | The economic resilience of a city: the effect of relatedness on the survival of amenity shops during the COVID-19 pandemic | |
| Grunow | Structures and logic of EP implementation and administration in China | |
| Zboroń | Sharing economy in axiological perspective | |
| Thomas et al. | Behavioural factors that influence the continued usage of formal financial services among the low income households | |
| Zhao et al. | Identification of the critical hospitals in the urban post-disaster healthcare system based on the network modeling and multi-criteria decision-making | |
| Coulton | Catalog of administrative data sources for neighborhood indicators | |
| CN110532296A (en) | A kind of citizen's credit score assessment system based on the open data of government | |
| Ciccotosto | Costing a natural disaster: An accounting perspective | |
| Barajei et al. | Exploring the anti‐corruption abilities of e‐procurement in Ghanaian mining companies |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |