CN114781351B - Bid file analysis method, device, equipment and medium based on power data - Google Patents
Bid file analysis method, device, equipment and medium based on power data Download PDFInfo
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- CN114781351B CN114781351B CN202210359275.9A CN202210359275A CN114781351B CN 114781351 B CN114781351 B CN 114781351B CN 202210359275 A CN202210359275 A CN 202210359275A CN 114781351 B CN114781351 B CN 114781351B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/205—Parsing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/602—Providing cryptographic facilities or services
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/166—Editing, e.g. inserting or deleting
- G06F40/174—Form filling; Merging
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/166—Editing, e.g. inserting or deleting
- G06F40/186—Templates
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- 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
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The embodiment of the disclosure discloses a bidding document parsing method, device, equipment and medium based on power data. One embodiment of the method comprises the following steps: adding the article production inquiry information into an article production inquiry information table template to generate an article production inquiry information table, and sending the article production inquiry information table and a preset bidding document template to a preset supply terminal; responding to a bid file set of a corresponding article production inquiry information table sent by a supply terminal, and acquiring historical power information corresponding to each bid file in the bid file set to obtain a historical power information set; generating a target bidding file group according to the historical power information set and the bidding file set; encrypting each target bid file in the target bid file group to generate an encrypted target bid file, thereby obtaining an encrypted target bid file group; and sending the encrypted target bidding document set to the client. This embodiment reduces the time for the user to screen the bid document.
Description
Technical Field
Embodiments of the present disclosure relate to the field of computers, and in particular, to a method, apparatus, device, and medium for parsing bidding documents based on power data.
Background
In selecting suppliers to produce articles, as the number of suppliers increases, the manner in which the suppliers are selected is generally as follows: the bid documents are sent by the various suppliers to the server such that the client selects a supplier based on the bid documents.
However, the following technical problems generally exist in the above manner:
firstly, when more bidding documents are available, a longer time is required to screen the bidding documents;
secondly, the bidding documents are not considered to be further analyzed according to the actual electricity consumption condition of the suppliers, so that the suppliers selected according to the bidding documents are not consistent with the actual production requirements of the articles, and the progress of the production of the articles is affected;
third, the bid document is not encrypted, which may result in information leakage of the bid document during transmission.
Disclosure of Invention
The disclosure is in part intended to introduce concepts in a simplified form that are further described below in the detailed description. The disclosure is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
Some embodiments of the present disclosure propose a bid file parsing method, apparatus, electronic device, and computer readable medium based on power data to solve one or more of the technical problems mentioned in the background section above.
In a first aspect, some embodiments of the present disclosure provide a bid file parsing method based on power data, the method comprising: in response to receiving the item production query information, adding the item production query information to an item production query information table template to generate an item production query information table, and sending the item production query information table and a preset bidding document template to a preset supply terminal; responding to a received bidding file set corresponding to the article production inquiry information table sent by the supply terminal, acquiring historical power information corresponding to each bidding file in the bidding file set, and obtaining a historical power information set, wherein a supplier identifier represented by the bidding file in the bidding file set is the same as a user identifier represented by the historical power information in the historical power information set; generating a target bidding document set according to the historical power information set and the bidding document set; encrypting each target bid file in the target bid file group to generate an encrypted target bid file, thereby obtaining an encrypted target bid file group; and sending the encrypted target bidding document group to a client corresponding to the article production query information.
In a second aspect, some embodiments of the present disclosure provide a bidding document parsing apparatus based on power data, the apparatus comprising: an adding unit configured to add the item production query information to an item production query information table template in response to receiving the item production query information, to generate an item production query information table, and to transmit the item production query information table and a preset bidding document template to a preset supply terminal; an obtaining unit, configured to obtain, in response to receiving a bid file set corresponding to the item production query information table sent by the supply terminal, historical power information corresponding to each bid file in the bid file set, and obtain a historical power information set, where a supplier identifier represented by a bid file in the bid file set is the same as a user identifier represented by historical power information in the historical power information set; a generation unit configured to generate a target bid file group based on the historical power information set and the bid file set; an encryption unit configured to encrypt each target bid file in the target bid file group to generate an encrypted target bid file, thereby obtaining an encrypted target bid file group; and a transmitting unit configured to transmit the encrypted target bid file group to a client corresponding to the item production inquiry information.
In a third aspect, some embodiments of the present disclosure provide an electronic device comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors causes the one or more processors to implement the method described in any of the implementations of the first aspect above.
In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect above.
The above embodiments of the present disclosure have the following advantageous effects: by the bid file parsing method based on the power data according to some embodiments of the present disclosure, the time for screening the bid file is reduced. Specifically, the reason why it takes a long time to screen the bid files is that it takes a long time to screen the bid files when the bid files are more. Based on this, the bidding document parsing method based on the power data of some embodiments of the present disclosure first adds the item production query information to an item production query information table template in response to receiving the item production query information to generate an item production query information table, and transmits the item production query information table and a preset bidding document template to a preset supply terminal. Thus, each supplier can conveniently fill in the bidding document according to the item production inquiry information table. And secondly, responding to the received bidding file set corresponding to the article production inquiry information table sent by the supply terminal, acquiring historical power information corresponding to each bidding file in the bidding file set, and obtaining a historical power information set. Thus, data support is provided for initially screening bid documents. Then, a target bid document group is generated based on the historical power information set and the bid document set. Therefore, unqualified bidding documents can be preliminarily removed according to the power data, and the time for screening the bidding documents subsequently is reduced. Then, each target bid file in the target bid file group is encrypted to generate an encrypted target bid file, and the encrypted target bid file group is obtained. Thus, confidentiality of the bidding document in the transmission process can be improved. And finally, the encrypted target bidding document group is sent to the client corresponding to the article production inquiry information. Thus, the time for the user to screen the bid document is reduced.
Drawings
The above and other features, advantages, and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. The same or similar reference numbers will be used throughout the drawings to refer to the same or like elements. It should be understood that the figures are schematic and that elements and components are not necessarily drawn to scale.
FIG. 1 is a flow chart of some embodiments of a power data based bid file parsing method in accordance with the present disclosure;
FIG. 2 is a schematic diagram of some embodiments of a bid file parsing apparatus based on power data according to the present disclosure;
fig. 3 is a schematic structural diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.
It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings. Embodiments of the present disclosure and features of embodiments may be combined with each other without conflict.
It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.
The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.
The bid file parsing method based on the power data, which is provided by the embodiment of the disclosure, can be applied to a service scenario of a selected provider. The method can be applied to a client, a third party service and a supply terminal. In addition, the bid file parsing method based on the power data provided by the embodiment of the disclosure can be applied to other existing or future business scenarios, which is not limited in this disclosure.
To address one or more of the problems set forth in the background section, a common approach to selecting a provider is to: the bid documents are sent by the various suppliers to the server such that the client selects a supplier based on the bid documents.
However, the client typically has the following technical problems in selecting the provider: firstly, when more bidding documents are available, a longer time is required to screen the bidding documents; secondly, the bidding documents are not considered to be further analyzed according to the actual electricity consumption condition of the suppliers, so that the suppliers selected according to the bidding documents are not consistent with the actual production requirements of the articles, and the progress of the production of the articles is affected; third, the bid document is not encrypted, which may result in information leakage of the bid document during transmission.
Therefore, in order to thoroughly solve the above three problems. The utility model provides a bid file analysis method based on electric power data, which fully utilizes the advantages of a third party server, and the third party server screens the bid file to avoid the direct connection between a client and a supply end. And the third party server initially screens the bidding documents according to the power consumption information of the supply end. And then, all the screened bidding documents are converted into local bidding documents (the supplier identification included in the first alternative bidding document is replaced by the target identification to obtain a first replacement bidding document, and the value demand attribute value included in the first replacement bidding document is increased by a first preset demand attribute value to update the first replacement bidding document), namely, all the bidding documents selected by the client are bidding documents provided by a third party server. Thus, the client is prevented from spending a long time screening the bid file. Finally, the third party server may encrypt the bid document to improve the confidentiality of the bid document.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
FIG. 1 is a flow chart of some embodiments of a power data based bid file parsing method in accordance with the present disclosure. A flow 100 of some embodiments of a power data based bid file parsing method in accordance with the present disclosure is shown. The bidding document analysis method based on the power data comprises the following steps:
and step 101, in response to receiving the article production inquiry information, adding the article production inquiry information into an article production inquiry information table template to generate an article production inquiry information table, and sending the article production inquiry information table and a preset bidding document template to a preset supply terminal.
In some embodiments, an executing body (e.g., a computing device of a third party) of the bidding document parsing method based on the power data may add the item production query information to an item production query information table template to generate an item production query information table in response to receiving the item production query information, and transmit the item production query information table and a preset bidding document template to a preset provisioning terminal. Here, the item production query information may refer to demand information for producing a certain class of items. Here, the item production query information may include, but is not limited to: service end identification, item name, item number, and date of receipt. Here, the server side identification may represent a device terminal that transmits the item production inquiry information. Here, the item production query information table template may be a table that is set in advance for filling out individual item production factors (e.g., item names, item numbers, date of receipt) included in the item production query information. Optionally, the item production query information may further include: the specification of the article, the receiving address, the transportation mode, etc. Here, the preset bidding document template may be a preset template for the bidding document filled out by the supplier. Here, the preset provisioning terminal may represent any computing device for the provider to log in.
Step 102, in response to receiving the bid file set corresponding to the item production query information table sent by the supply terminal, obtaining historical power information corresponding to each bid file in the bid file set, and obtaining a historical power information set.
In some embodiments, the executing entity may obtain the historical power information corresponding to each bidding document in the bidding document set in response to receiving the bidding document set corresponding to the item production query information table sent by the supply terminal, and obtain the historical power information set. The provider identification represented by the bidding files in the bidding file set is the same as the user identification represented by the historical power information in the historical power information set. In practice, for each bid document in the bid document set, the executing entity may acquire, from a terminal device corresponding to a supplier identifier included in the bid document, historical power information corresponding to the supplier identifier. Here, the historical power information may represent payment information of the power consumption amount. Here, the history power information in the history power information set includes: user identification, a power consumption sequence in a preset time period and a power value timely payment rate corresponding to the power consumption sequence. Here, the setting of the preset time period is not limited. For example, the preset time period may be 2021, 1-2021, 12. Here, the time granularity of the preset time period may be 1 month. Here, the electricity value timely payment rate may be a ratio of the number of times of payment of the electricity fee within the electricity fee payment period to the number of electricity consumption included in the electricity consumption sequence.
And 103, generating a target bidding file set according to the historical power information set and the bidding file set.
In some embodiments, the executing entity may generate the target bid file group based on the historical power information set and the bid file set. In practice, the executing body may select, from the historical power information set, the historical power information including the electric quantity value and the timely payment rate greater than or equal to the preset payment rate as the target historical power information, so as to obtain the target historical power information set. Then, the bid file corresponding to each of the target historical power information in the target historical power information group may be determined as a target bid file, and a target bid file group may be obtained.
In some optional implementations of some embodiments, the executing entity may generate the target bid file group according to the historical power information set and the bid file set by:
and a first step of selecting the historical power information meeting the first preset condition from the historical power information set as first alternative historical power information to obtain a first alternative historical power information group. Wherein, the first preset condition is: the historical electric power information comprises electric quantity value timely payment rate which is larger than or equal to preset timely payment rate.
Second, for each of the first alternative historical power information in the first alternative historical power information group, the following processing steps are performed:
and a first processing step of determining a difference value between a maximum power consumption and a minimum power consumption in a power consumption sequence included in the first alternative historical power information as a power consumption fluctuation value.
And a second processing step of generating an abnormal power usage query log in response to determining that the power consumption fluctuation value is greater than or equal to a preset fluctuation value, and transmitting the abnormal power usage query log to a user terminal corresponding to a user identifier included in the first alternative historical power information. Here, the abnormal power usage query log may characterize a need for the provider to provide an abnormal power usage certificate. For example, the 6 month electric quantity is abnormal, and the supplier is required to provide the reason of the 6 month electric quantity abnormality and the seal file (supplier seal and electricity charge payment bill).
And a third processing step of determining the first alternative historical power information as second alternative historical power information in response to receiving the power abnormality verification information sent by the user terminal within a first preset time period. Here, the first preset time period may refer to a waiting time period for receiving the power abnormality verification information after the abnormal power use query log is transmitted. For example, the first preset time period may be "1 day". Here, the power abnormality verification information may characterize certification information of the query log for abnormal power use described above. For example, the power abnormality verification information may refer to an abnormal power use certificate.
And a fourth processing step of determining a bid file corresponding to the second candidate historical power information as a candidate bid file.
And fifth, inputting the alternative bidding file into a pre-trained electric quantity prediction model to obtain an electric quantity prediction result. Here, the electricity consumption prediction result may represent a predicted electricity consumption average value of the suppliers corresponding to the candidate bidding documents within the preset time period.
And a sixth processing step of determining a difference value between an average value of the power consumption sequence included in the second alternative historical power information and the power represented by the power prediction result as a power difference value.
And a seventh processing step of determining the candidate bidding file as a candidate bidding file in response to the electric quantity difference being within a preset electric quantity difference range. Here, the setting of the preset power difference range is not limited. For example, the preset charge differential range may be [ -20 degrees, 20 degrees ].
Third, a target bid file group is generated based on the determined respective candidate bid files. Here, the candidate bid file among the above-described respective candidate bid files includes: a supplier identifier and a value demand attribute value corresponding to the supplier identifier. Here, the value demand attribute value may refer to a service value attribute value of a provider (e.g., a total offer to produce an item corresponding to the item production query information described above).
In practice, the third step may comprise the sub-steps of:
and a first substep, determining the candidate bidding files meeting the target condition as first candidate bidding files in the candidate bidding files, and obtaining a first candidate bidding file group. Wherein, the target conditions are as follows: the candidate bid document includes supplier identifications corresponding to supplier identifications in a preset supplier identification group. Here, the candidate bidding document including the supplier identifier corresponding to the supplier identifier in the preset supplier identifier group may mean that the candidate bidding document includes the supplier identifier identical to any one of the supplier identifiers in the preset supplier identifier group.
And a second substep of determining the candidate bidding documents which do not meet the target condition as second candidate bidding documents in the candidate bidding documents to obtain a second candidate bidding document group.
And a third sub-step of generating a combined replacement bid file group based on the first candidate bid file group and the second candidate bid file group.
In practice, the third sub-step may comprise the following generation steps:
a first generation step of executing, for each of the first candidate bid files in the first candidate bid file group, the following processing steps:
1. And replacing the supplier identifier included in the first alternative bidding document with the target identifier to obtain the first replacement bidding document. Here, the target identifier may be a predetermined identifier that characterizes the execution subject.
2. And adding a first preset demand attribute value to the value demand attribute value included in the first replacement bidding file so as to update the first replacement bidding file. Here, the first preset demand attribute value may refer to a preset value demand increase value corresponding to the preset supplier identifier group.
A second generation step of executing the following processing steps for each second candidate bid file in the second candidate bid file group:
1. and replacing the supplier identifier included in the second alternative bid file with the target identifier to obtain a second replacement bid file.
2. And adding a second preset demand attribute value to the value demand attribute value included in the second replacement bidding file so as to update the second replacement bidding file. The second preset demand attribute value is greater than the first preset demand attribute value.
And a third generation step, wherein the updated first replacement bidding documents and the updated second replacement bidding documents are combined to obtain a combined replacement bidding document set.
And a fourth substep, performing de-duplication processing on the combined and replaced bid file group to obtain de-duplication and replaced bid file group as a target bid file group. In practice, the combined replacement bid file having the same number of devices, device models, and persons for the production items included in the combined replacement bid file group may be deduplicated.
The related content in some optional implementations of some embodiments is taken as an invention point of the present disclosure, so that the second technical problem mentioned in the background art is solved, which is that the bidding document is not further analyzed according to the actual electricity usage situation of the suppliers, so that the suppliers selected according to the bidding document are not consistent with the actual production requirement of the articles, and the progress of the production of the articles is affected. ". Factors affecting the progress of the production of the article are often as follows: the bidding documents are not further analyzed according to the actual electricity consumption conditions of the suppliers, so that the suppliers selected according to the bidding documents are not consistent with the actual production requirements of the articles, and the progress of the production of the articles is affected. If the above factors are solved, the effect of ensuring the progress of the production of the articles can be achieved. To achieve this effect, first, the history power information satisfying the first preset condition is selected as the first alternative history power information from the above-described history power information set, resulting in a first alternative history power information group. Therefore, data support is provided for primarily screening the bidding documents. Next, for each of the above-described first alternative historical power information groups, the following processing steps are performed: first, a difference between a maximum power consumption and a minimum power consumption in a power consumption sequence included in the first alternative historical power information is determined as a power consumption fluctuation value. Thus, the stability of the articles produced by the supplier can be determined according to the historical electricity consumption of the supplier. And secondly, generating an abnormal power use query log in response to determining that the power consumption fluctuation value is greater than or equal to a preset fluctuation value, and sending the abnormal power use query log to a user terminal corresponding to a user identifier included in the first alternative historical power information. And then, in response to receiving the power abnormality verification information sent by the user terminal within a first preset time period, determining the first alternative historical power information as second alternative historical power information. Thereby, the provider can be made to provide verification information (certification information) of the abnormal use of the electric power. Therefore, the bid files of the suppliers with abnormal electricity consumption are prevented from being removed directly. Then, the bid file corresponding to the second candidate historical power information is determined as the candidate bid file. And then, inputting the alternative bidding file into a pre-trained electric quantity prediction model to obtain an electric quantity prediction result. Therefore, the electricity consumption of the provider in a period of time can be rapidly analyzed according to the information of the provider filled in the bidding document. And then, determining a difference value between an average value of the power consumption sequences included in the second alternative historical power information and the power represented by the power prediction result as a power difference value. Thus, it can be determined whether the predicted power consumption of the supplier is greatly different from the power consumption provided by the supplier. And finally, determining the candidate bidding file as the candidate bidding file in response to the electric quantity difference value being within a preset electric quantity difference value range. Therefore, the bidding document can be further analyzed according to the actual electricity consumption condition of the supplier, and the possibility that the selected supplier does not accord with the actual article production requirement is reduced. The progress of the production of the articles is ensured.
Optionally, the electric quantity prediction model is obtained through the following training steps:
the method comprises the first step of obtaining a historical bidding file set and a historical electricity consumption average set in a preset historical time period. The historical bidding files in the historical bidding file set correspond to the historical electricity consumption average value in the historical electricity consumption average value set. Here, the time granularity of the preset history period may be 1 month. Here, the historical power consumption average value in the historical power consumption average value set may represent an actual power consumption average value of the provider corresponding to the historical bid file in a preset historical period. In practice, the executing body may acquire the historical bidding file set and the historical electricity consumption average set in the preset historical time period from the local database through a wired connection or a wireless connection.
And secondly, determining each historical power consumption average value in the historical power consumption average value set as a sample label to obtain a sample label set.
And thirdly, combining each historical bid file in the historical bid file set and a sample label corresponding to the historical bid file to form a training sample, thereby obtaining a training sample set.
And fourthly, training the initial electric quantity prediction model based on the training sample set to obtain a trained initial electric quantity prediction model serving as an electric quantity prediction model.
Therefore, the electric quantity prediction model trained can be utilized to rapidly predict the electric quantity corresponding to the bidding document, and a reference basis is provided for the follow-up screening of the bidding document.
In practice, the fourth step may comprise the sub-steps of:
and a first sub-step of determining a network structure of the initial electric quantity prediction model and initializing network parameters of the initial electric quantity prediction model. Here, the initial charge prediction model may be an untrained convolutional neural network (Convolutional Neural Networks, CNN).
And a second sub-step of using the historical bidding files included in the training sample set as input of the initial electric quantity prediction model, using sample labels of the corresponding historical bidding files included in the training sample set as expected output of the initial electric quantity prediction model, and training the initial electric quantity prediction model by using a deep learning method.
And a third sub-step of determining the trained initial electric quantity prediction model as the electric quantity prediction model.
And 104, encrypting each target bid file in the target bid file group to generate an encrypted target bid file, thereby obtaining an encrypted target bid file group.
In some embodiments, the executing entity may encrypt each target bid file in the target bid file group to generate an encrypted target bid file, resulting in an encrypted target bid file group. For example, the executing entity may encrypt each target bid file in the target bid file group through a symmetric encryption algorithm to generate an encrypted target bid file, thereby obtaining an encrypted target bid file group.
In practice, the executing entity may encrypt each target bid file in the target bid file group by:
first, obtaining a supply end domain name corresponding to the target bidding document. In practice, the executing body may obtain the domain name of the supply end from the supply end corresponding to the target bid document in a wired connection or wireless connection manner. Here, the provider domain name may represent a domain name of the provider.
And secondly, carrying out signature processing on the target bidding document according to the local private key so as to generate a signed target bidding document. Here, the local private key may refer to a user private key set in advance. The executing body may invoke the CA signing interface to digitally sign the target bid file using the local private key to generate a signed target bid file.
And thirdly, generating an encryption key according to the domain name of the supply end.
In practice, the third step may comprise the sub-steps of:
a first sub-step, performing byte encoding processing on the supply end domain name to generate an encoded supply end domain name. Here, the byte code may refer to international standard code. For example, the supply side domain name may be [ passbook ], and the supply side domain name [ passbook ] is subjected to an international standard encoding process to generate an encoded supply side domain name [ b '\xb0\xd9\ xcf \xe3' ].
And a second sub-step, performing digitization processing on the code supply end domain name to generate a digitization code domain name. Here, the digitizing process may refer to a process of performing a process, and may include, but is not limited to: decimal system. For example, the digitally encoded domain name may be [176, 217, 207, 227].
And a third sub-step, determining the sum of the data included in the digitalized encoded domain name as an encryption key.
And step four, carrying out encryption processing on the signature target bidding document according to the encryption key so as to generate an encrypted signature target bidding document. In practice, the executing entity may perform symmetric encryption processing on the signed target bid file by using the encryption key to generate an encrypted signed target bid file.
In some optional implementations of some embodiments, the executing entity may encrypt the signed target bid file according to the encryption key to generate an encrypted signed target bid file by:
。
wherein, the liquid crystal display device comprises a liquid crystal display device,representing the cryptographically signed target bid file./>Representing the encryption key. />And the sequence number of the data in each dimension included in the digitalized encoded domain name is represented. />Representing the amount of data in each dimension that the digitally encoded domain name includes. />Indicating the +.>Data in the individual dimensions.Representing the signed target bid document after the binary encoding. />Representing a modulo operation. Here, the signature target bid file may be encoded by first encoding the signature target bid file using international standard encoding, thereby obtaining the encoded signature target bid file. And then, performing decimal processing on the coded signature target bidding document to obtain the signature target bidding document after binary coding.
Therefore, the unique property of the domain name can be utilized to encrypt the bidding document, so that the confidentiality of the bidding document is improved.
And fifthly, binding the encryption key and the encrypted signature target bidding document to generate an encrypted target bidding document.
The related content in step 104 is taken as an invention point of the present disclosure, so that the technical problem three' mentioned in the background art is solved, the bidding document is not encrypted, and information leakage of the bidding document may be caused in the transmission process. ". Factors affecting the progress of the production of the article are often as follows: the bid file is not encrypted, and information leakage of the bid file may be caused in the transmission process. If the above factors are solved, the effect of improving confidentiality of the bidding document in the transmission process can be achieved. To achieve this, first, the source domain name corresponding to the target bid document is obtained. Thus, the bid document can be encrypted using the domain name specific to the vendor. And secondly, carrying out signature processing on the target bidding document according to the local private key so as to generate a signature target bidding document. Therefore, the primary signature processing can be carried out on the bidding document, so that the subsequent signature verification is facilitated, and the bidding document is prevented from being tampered. Then, an encryption key is generated according to the supply end domain name. Then, the signature target bid file is encrypted according to the encryption key to generate an encrypted signature target bid file. Therefore, the bid document can be encrypted by utilizing the encryption key generated by the domain name of the supply end, so that the confidentiality of the bid document is improved.
And step 105, the encrypted target bidding document group is sent to the client corresponding to the article production inquiry information.
In some embodiments, the executing entity may send the encrypted target bid file group to the client corresponding to the item production query information. Here, the client corresponding to the item production inquiry information may refer to a terminal that transmits the item production inquiry information.
The above embodiments of the present disclosure have the following advantageous effects: by the bid file parsing method based on the power data according to some embodiments of the present disclosure, the time for screening the bid file is reduced. Specifically, the reason why it takes a long time to screen the bid files is that it takes a long time to screen the bid files when the bid files are more. Based on this, the bidding document parsing method based on the power data of some embodiments of the present disclosure first adds the item production query information to an item production query information table template in response to receiving the item production query information to generate an item production query information table, and transmits the item production query information table and a preset bidding document template to a preset supply terminal. Thus, each supplier can conveniently fill in the bidding document according to the item production inquiry information table. And secondly, responding to the received bidding file set corresponding to the article production inquiry information table sent by the supply terminal, acquiring historical power information corresponding to each bidding file in the bidding file set, and obtaining a historical power information set. Thus, data support is provided for initially screening bid documents. Then, a target bid document group is generated based on the historical power information set and the bid document set. Therefore, unqualified bidding documents can be preliminarily removed according to the power data, and the time for screening the bidding documents subsequently is reduced. Then, each target bid file in the target bid file group is encrypted to generate an encrypted target bid file, and the encrypted target bid file group is obtained. Thus, confidentiality of the bidding document in the transmission process can be improved. And finally, the encrypted target bidding document group is sent to the client corresponding to the article production inquiry information. Thus, the time for the user to screen the bid document is reduced.
With further reference to FIG. 2, as an implementation of the method illustrated in the above figures, the present disclosure provides some embodiments of a bidding document parsing apparatus based on power data, which correspond to those illustrated in FIG. 1, and which are particularly applicable in a variety of electronic devices.
As shown in fig. 2, the bid file parsing apparatus 200 based on power data of some embodiments includes: an adding unit 201, an acquiring unit 202, a generating unit 203, an encrypting unit 204, and a transmitting unit 205. Wherein, the adding unit 201 is configured to respond to receiving the article production inquiry information, add the article production inquiry information to an article production inquiry information table template to generate an article production inquiry information table, and send the article production inquiry information table and a preset bidding document template to a preset supply terminal; an obtaining unit 202, configured to obtain, in response to receiving a bid file set corresponding to the item production query information table sent by the supply terminal, historical power information corresponding to each bid file in the bid file set, and obtain a historical power information set, where a supplier identifier represented by a bid file in the bid file set is the same as a user identifier represented by historical power information in the historical power information set; a generation unit 203 configured to generate a target bid file group based on the historical power information set and the bid file set; an encryption unit 204 configured to encrypt each target bid file in the target bid file group to generate an encrypted target bid file, thereby obtaining an encrypted target bid file group; and a transmitting unit 205 configured to transmit the encrypted target bid file group to a client corresponding to the item production inquiry information.
It will be appreciated that the elements described in the apparatus 200 correspond to the various steps in the method described with reference to fig. 1. Thus, the operations, features and resulting benefits described above for the method are equally applicable to the apparatus 200 and the units contained therein, and are not described in detail herein.
Referring now to fig. 3, a schematic diagram of an electronic device 300 suitable for use in implementing some embodiments of the present disclosure is shown. The electronic device in some embodiments of the present disclosure may include, but is not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 3 is merely an example and should not impose any limitations on the functionality and scope of use of embodiments of the present disclosure.
As shown in fig. 3, the electronic device 300 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 301 that may perform various suitable actions and processes in accordance with a program stored in a Read Only Memory (ROM) 302 or a program loaded from a storage means 308 into a Random Access Memory (RAM) 303. In the RAM303, various programs and data required for the operation of the electronic apparatus 300 are also stored. The processing device 301, the ROM302, and the RAM303 are connected to each other via a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.
In general, the following devices may be connected to the I/O interface 305: input devices 306 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 307 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 308 including, for example, magnetic tape, hard disk, etc.; and communication means 309. The communication means 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. While fig. 3 shows an electronic device 300 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead. Each block shown in fig. 3 may represent one device or a plurality of devices as needed.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via communications device 309, or from storage device 308, or from ROM 302. The above-described functions defined in the methods of some embodiments of the present disclosure are performed when the computer program is executed by the processing means 301.
It should be noted that, the computer readable medium described in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, the computer-readable signal medium may comprise a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
In some implementations, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (HyperText Transfer Protocol ), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the internet (e.g., the internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed networks.
The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: in response to receiving the item production query information, adding the item production query information to an item production query information table template to generate an item production query information table, and sending the item production query information table and a preset bidding document template to a preset supply terminal; responding to a received bidding file set corresponding to the article production inquiry information table sent by the supply terminal, acquiring historical power information corresponding to each bidding file in the bidding file set, and obtaining a historical power information set, wherein a supplier identifier represented by the bidding file in the bidding file set is the same as a user identifier represented by the historical power information in the historical power information set; generating a target bidding document set according to the historical power information set and the bidding document set; encrypting each target bid file in the target bid file group to generate an encrypted target bid file, thereby obtaining an encrypted target bid file group; and sending the encrypted target bidding document group to a client corresponding to the article production query information.
Computer program code for carrying out operations for some embodiments of the present disclosure may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in some embodiments of the present disclosure may be implemented by means of software, or may be implemented by means of hardware. The described units may also be provided in a processor, for example, described as: a processor includes an adding unit, an acquiring unit, a generating unit, an encrypting unit, and a transmitting unit. The names of the units are not limited in some cases, for example, the obtaining unit may be further described as "in response to receiving the bid file set corresponding to the item production query information table sent by the supply terminal, obtaining historical power information corresponding to each bid file in the bid file set, and obtaining the historical power information set, where a supplier identifier represented by a bid file in the bid file set is the same as a user identifier represented by historical power information in the historical power information set".
The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.
The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above technical features, but encompasses other technical features formed by any combination of the above technical features or their equivalents without departing from the spirit of the invention. Such as the above-described features, are mutually substituted with (but not limited to) the features having similar functions disclosed in the embodiments of the present disclosure.
Claims (9)
1. A bidding document analysis method based on power data comprises the following steps:
in response to receiving the item production query information, adding the item production query information to an item production query information table template to generate an item production query information table, and sending the item production query information table and a preset bidding document template to a preset supply terminal;
responding to a received bid file set corresponding to the article production query information table sent by the supply terminal, acquiring historical power information corresponding to each bid file in the bid file set, and obtaining a historical power information set, wherein a supplier identifier represented by the bid file in the bid file set is the same as a user identifier represented by the historical power information in the historical power information set, and the historical power information in the historical power information set comprises: the method comprises the steps of user identification, a power consumption sequence in a preset time period and a timely payment rate of the power value of the power consumption sequence;
Generating a target bidding document set according to the historical power information set and the bidding document set;
encrypting each target bid file in the target bid file group to generate an encrypted target bid file, thereby obtaining an encrypted target bid file group;
the encrypted target bidding document group is sent to a client corresponding to the article production query information;
wherein the generating a target bid file group according to the historical power information set and the bid file set includes:
selecting the historical power information meeting a first preset condition from the historical power information set as first alternative historical power information to obtain a first alternative historical power information set, wherein the first preset condition is as follows: the historical electric power information comprises electric quantity value timely payment rate which is larger than or equal to preset timely payment rate;
for each first alternative historical power information in the first alternative historical power information group, performing the following processing steps:
determining a difference value between the maximum power consumption and the minimum power consumption in a power consumption sequence included in the first alternative historical power information as a power consumption fluctuation value;
generating an abnormal power use query log in response to determining that the power consumption fluctuation value is greater than or equal to a preset fluctuation value, and sending the abnormal power use query log to a user terminal corresponding to a user identifier included in the first alternative historical power information;
In response to receiving the power abnormality verification information sent by the user terminal within a first preset time period, determining the first alternative historical power information as second alternative historical power information;
determining a bidding file corresponding to the second alternative historical power information as an alternative bidding file;
inputting the alternative bidding file into a pre-trained electric quantity prediction model to obtain an electric quantity prediction result;
determining a difference value between an average value of a power consumption sequence included in the second alternative historical power information and the power represented by the power prediction result as a power difference value;
determining the candidate bidding file as a candidate bidding file in response to the electric quantity difference being within a preset electric quantity difference range;
a target set of bid files is generated based on the determined respective candidate bid files.
2. The method of claim 1, wherein the power prediction model is obtained by training steps of:
acquiring a historical bidding file set and a historical electricity consumption average value set in a preset historical time period, wherein the historical bidding files in the historical bidding file set correspond to the historical electricity consumption average value in the historical electricity consumption average value set;
Determining each historical electricity consumption average value in the historical electricity consumption average value sets as a sample label to obtain a sample label set;
combining each historical bidding file in the historical bidding file set and a sample label corresponding to the historical bidding file to form a training sample, so as to obtain a training sample set;
and training the initial electric quantity prediction model based on the training sample set to obtain a trained initial electric quantity prediction model serving as an electric quantity prediction model.
3. The method of claim 1, wherein a candidate bid file of the respective candidate bid files comprises: a supplier identifier and a value demand attribute value corresponding to the supplier identifier; and
the generating a target bid file group based on the determined candidate bid files includes:
determining candidate bidding files meeting target conditions in the candidate bidding files as first candidate bidding files to obtain a first candidate bidding file group, wherein the target conditions are as follows: the supplier identifications included in the candidate bidding documents correspond to supplier identifications in a preset supplier identification group;
determining candidate bidding files which do not meet the target conditions in the candidate bidding files as second candidate bidding files, and obtaining a second candidate bidding file group;
Generating a combined replacement bid file group based on the first and second candidate bid file groups;
and performing de-duplication treatment on the combined and replaced bid file groups to obtain de-duplication and replaced bid file groups serving as target bid file groups.
4. The method of claim 3, wherein the generating a combined replacement bid file group based on the first and second alternative bid file groups comprises:
for each first alternative bid file in the first alternative bid file group, performing the following processing steps:
changing a supplier identifier included in the first alternative bidding file into a target identifier to obtain a first alternative bidding file, wherein the target identifier is a preset identifier representing an execution subject;
adding a first preset demand attribute value to the value demand attribute value included in the first replacement bidding file to update the first replacement bidding file, wherein the first preset demand attribute value refers to a preset value demand added value corresponding to a preset supplier identification group;
for each second alternative bid file in the second alternative bid file group, performing the following processing steps:
Replacing the supplier identifier included in the second alternative bidding document with the target identifier to obtain a second replacement bidding document;
adding a second preset demand attribute value to the value demand attribute value included in the second replacement bidding file to update the second replacement bidding file, wherein the second preset demand attribute value is greater than the first preset demand attribute value;
and merging the updated first replacement bidding files and the updated second replacement bidding files to obtain a merged replacement bidding file group.
5. The method of claim 1, wherein the encrypting each target bid file in the set of target bid files to generate an encrypted target bid file comprises:
acquiring a supply end domain name corresponding to the target bidding document;
according to the local private key, signature processing is carried out on the target bidding document so as to generate a signature target bidding document;
generating an encryption key according to the domain name of the supply end;
according to the encryption key, the signature target bidding document is encrypted to generate an encrypted signature target bidding document;
and binding the encryption key with the encrypted signature target bidding document to generate an encrypted target bidding document.
6. The method of claim 5, wherein the generating an encryption key from the provisioning domain name comprises:
byte encoding is carried out on the domain name of the supply end so as to generate an encoded domain name of the supply end;
performing digital processing on the code supply end domain name to generate a digital code domain name;
and determining the sum of the various data included in the digital coded domain name as an encryption key.
7. A bidding document parsing apparatus based on power data, comprising:
an adding unit configured to add the item production query information to an item production query information table template in response to receiving the item production query information, to generate an item production query information table, and to send the item production query information table and a preset bidding document template to a preset provisioning terminal;
an obtaining unit, configured to obtain, in response to receiving a bid file set corresponding to the item production query information table sent by the supply terminal, historical power information corresponding to each bid file in the bid file set, and obtain a historical power information set, where a supplier identifier represented by a bid file in the bid file set is the same as a user identifier represented by historical power information in the historical power information set, and the historical power information in the historical power information set includes: the method comprises the steps of user identification, a power consumption sequence in a preset time period and a timely payment rate of the power value of the power consumption sequence;
A generation unit configured to generate a target bid file group from the historical power information set and the bid file set; a generation unit further configured to:
selecting the historical power information meeting a first preset condition from the historical power information set as first alternative historical power information to obtain a first alternative historical power information set, wherein the first preset condition is as follows: the historical electric power information comprises electric quantity value timely payment rate which is larger than or equal to preset timely payment rate;
for each first alternative historical power information in the first alternative historical power information group, performing the following processing steps:
determining a difference value between the maximum power consumption and the minimum power consumption in a power consumption sequence included in the first alternative historical power information as a power consumption fluctuation value;
generating an abnormal power use query log in response to determining that the power consumption fluctuation value is greater than or equal to a preset fluctuation value, and sending the abnormal power use query log to a user terminal corresponding to a user identifier included in the first alternative historical power information;
in response to receiving the power abnormality verification information sent by the user terminal within a first preset time period, determining the first alternative historical power information as second alternative historical power information;
Determining a bidding file corresponding to the second alternative historical power information as an alternative bidding file;
inputting the alternative bidding file into a pre-trained electric quantity prediction model to obtain an electric quantity prediction result;
determining a difference value between an average value of a power consumption sequence included in the second alternative historical power information and the power represented by the power prediction result as a power difference value;
determining the candidate bidding file as a candidate bidding file in response to the electric quantity difference being within a preset electric quantity difference range;
generating a target bid file group based on the determined candidate bid files;
an encryption unit configured to encrypt each target bid file in the target bid file group to generate an encrypted target bid file, thereby obtaining an encrypted target bid file group;
and the sending unit is configured to send the encrypted target bidding document set to a client corresponding to the article production inquiry information.
8. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon;
when executed by the one or more processors, causes the one or more processors to implement the method of any of claims 1-6.
9. A computer readable medium having stored thereon a computer program, wherein the program when executed by a processor implements the method of any of claims 1-6.
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| CN116702168B (en) * | 2023-05-19 | 2024-01-12 | 国网物资有限公司 | Method, device, electronic equipment and computer readable medium for detecting supply end information |
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