CN115774986B - Highway quality evaluation table generation method, electronic device, and computer-readable medium - Google Patents
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Abstract
Embodiments of the present disclosure disclose a highway quality assessment table generation method, an electronic device, and a computer readable medium. One embodiment of the method comprises the following steps: in response to detecting the road quality detection table uploaded by the target user, determining the number of quality parameter detection items included in the road quality detection table as the target detection item number; generating detection table link information corresponding to the road quality detection table in response to determining that the number of target detection items is greater than or equal to a preset threshold value; determining the number of empty items detected by the quality parameters included in the highway quality detection table as the number of items to be detected; generating highway quality detection information according to the highway quality detection table, the number of target detection items and the number of items to be detected; filling the detection table linking information and the highway quality detection information into a preset highway quality assessment blank table to generate a highway quality assessment table. This embodiment reduces the waste of communication resources.
Description
Technical Field
Embodiments of the present disclosure relate to the field of computer technology, and in particular, to a highway quality assessment table generating method, an electronic device, and a computer readable medium.
Background
Currently, in order to perform quality inspection on highways at construction sites, the following methods are generally adopted: the quality detection is carried out on the highways of the construction site by technicians, the detection results are filled in the inspection table, and then the inspection table is sent to the monitoring terminal.
However, the following technical problems generally exist in the above manner:
firstly, when the check list has more detection items, more bandwidth is occupied when the check list is transmitted, and communication resources are wasted;
secondly, the actual detection items in the detection table are not distinguished, when the occupied memory of the detection table is large, the detection table is directly sent to the monitoring terminal, more bandwidth is occupied, and waste of communication resources is caused.
The above information disclosed in this background section is only for enhancement of understanding of the background of the inventive concept and, therefore, may contain information that does not form the prior art that is already known to those of ordinary skill in the art in this country.
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 road quality assessment table generation method, an electronic device, and a computer readable medium 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 highway quality assessment table generating method, the method comprising: in response to detecting a highway quality detection table uploaded by a target user, determining the number of quality parameter detection items included in the highway quality detection table as a target detection item number; generating detection table link information corresponding to the highway quality detection table in response to determining that the number of the target detection items is greater than or equal to a preset threshold, wherein the detection table link information points to the highway quality detection table; determining the number of quality parameter detection empty items included in the highway quality detection table as the number of items to be detected, wherein the quality parameter detection empty items represent detection items of undetected quality parameters; generating highway quality detection information according to the highway quality detection table, the number of target detection items and the number of items to be detected; filling the link information of the detection table and the highway quality detection information into a preset highway quality assessment blank table to generate a highway quality assessment table.
In a second 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 third aspect, some embodiments of the present disclosure provide a computer readable medium having a computer program stored thereon, wherein the computer 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 highway quality assessment table generating method of some embodiments of the present disclosure, waste of communication resources is reduced. Specifically, the reason why communication resources are wasted is that: when the check table has more detection items, more bandwidth is occupied when the check table is transmitted, and communication resources are wasted. Based on this, the highway quality assessment table generating method of some embodiments of the present disclosure first determines the number of quality parameter detection items included in the above-described highway quality detection table as the number of target detection items in response to detecting the highway quality detection table uploaded by the target user. Thus, the road quality detection table can be distinguished according to the number of quality parameter detection items actually detected in the road quality detection table. And secondly, generating detection table link information corresponding to the highway quality detection table in response to determining that the number of the target detection items is greater than or equal to a preset threshold value. Wherein the table linking information is directed to the road quality table. Therefore, when the occupied memory of the highway quality detection table is larger, the link can be only sent to the monitoring terminal, so that the occupied bandwidth is reduced. Then, the number of empty items for quality parameter detection included in the above road quality detection table is determined as the number of items to be detected. Wherein the quality parameter detection empty term represents a detection term of an undetected quality parameter. And then, generating road quality detection information according to the road quality detection table, the target detection item number and the item to be detected. Thus, it is convenient to preliminarily explain the detection situation when sending detection information to the monitoring terminal. And finally, filling the link information of the detection table and the highway quality detection information into a preset highway quality assessment blank table to generate a highway quality assessment table. Therefore, the check list can be prevented from being directly sent to the monitoring terminal, and the occupation of bandwidth is reduced. Thus, waste of communication resources is reduced.
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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 highway quality assessment table generation method according to the present disclosure;
fig. 2 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 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 highway quality assessment table generation method according to the present disclosure. A flow of some embodiments of a highway quality assessment table generation method according to the present disclosure is shown. The highway quality assessment table generating method comprises the following steps:
in step 101, in response to detecting the road quality detection table uploaded by the target user, the number of quality parameter detection items included in the road quality detection table is determined as the target detection item number.
In some embodiments, an execution subject (e.g., a server) of the road quality assessment table generation method may determine the number of quality parameter detection items included in the above road quality detection table as the target detection item number in response to detecting the road quality detection table uploaded by the target user. The quality parameter detection term may comprise a plurality of parameters to be detected. For example, the quality parameter detection item may be concrete quality information or steel bar quality information of a highway, and the included parameters to be detected may be: concrete hardness, concrete thickness. The road quality test table may refer to a table including a plurality of quality parameter test items, and filled with test parameters. For example, the road quality test table may be a table that fills out quality test parameters of roads installed at the construction site. The target user may refer to a technician detecting the highway. The quality parameter detection term may refer to a detected parameter detection term. The plurality of parameters to be detected included in the steel bar quality information may be: diameter of the steel bar, strength of the steel bar and density of the steel bar.
Step 102, in response to determining that the number of the target detection items is greater than or equal to a preset threshold, generating detection table link information corresponding to the highway quality detection table.
In some embodiments, the executing entity may generate the table linking information corresponding to the road quality detection table in response to determining that the number of target detection items is equal to or greater than a preset threshold. Wherein the table linking information is directed to the road quality table. That is, the meter linkage information may represent a meter linkage directed to the road quality meter described above. Here, the setting of the preset threshold is not limited. In practice, a table link corresponding to the road quality table described above may be generated by a link generator. And taking the detection table link as detection table link information.
And step 103, determining the number of empty items detected by the quality parameters included in the highway quality detection table as the number of items to be detected.
In some embodiments, the execution body may determine the number of empty items detected by the quality parameter included in the road quality detection table as the number of items to be detected. Wherein the quality parameter detection empty term represents a detection term of an undetected quality parameter. The quality parameter detection empty term represents an undetected parameter detection term.
And 104, generating highway quality detection information according to the highway quality detection table, the target detection item number and the item to be detected.
In some embodiments, the execution body may generate the road quality detection information according to the road quality detection table, the number of target detection items, and the number of items to be detected.
In practice, according to the road quality detection table, the target detection item number, and the item to be detected number, the execution subject may generate road quality detection information by:
the first step is to determine the sum of the target detection item number and the item number to be detected as the total detection item number.
And a second step of generating total detection information corresponding to the total detection item number. I.e. the one that is the one. The word of the total test item number and the numerical value of the total test item number may be combined as total test information.
And thirdly, generating target detection information corresponding to the number of the target detection items. That is, the word of the number of target detection items and the numerical value of the number of target detection items may be combined as the target detection information.
And step four, determining the ratio of the number of the target detection items to the total number of the detection items as the detection item duty ratio.
And fifthly, generating detection item duty ratio information corresponding to the detection item duty ratio. That is, the word of the detection item duty and the numerical value of the detection item duty may be combined as the detection item duty information.
And sixthly, determining quality parameter detection items with qualified detection labels in the quality parameter detection items included in the highway quality detection table as qualified quality parameter detection items, and obtaining a qualified quality parameter detection item group. And the qualified label indicates that each detection parameter corresponding to the quality parameter detection item is a normal detection parameter.
Seventh, the number of qualified quality parameter detection items included in the qualified quality parameter detection item group is determined as the number of qualified quality parameter detection items.
Eighth, determining the ratio of the number of qualified detection items to the number of target detection items as a qualified detection item ratio.
And a ninth step of generating qualification item information corresponding to the qualification item ratio. That is, the typeface of the qualification term ratio and the numerical value of the qualification term ratio may be combined as the qualification term information.
And a tenth step of generating road quality detection information according to the road quality detection table, the total detection information, the target detection information, the detection item duty ratio information and the qualified detection item information. The quality parameter detection term comprises at least one detection parameter. The detection parameters may refer to parameters obtained by a technician detecting the road.
In practice, the tenth step may comprise the following sub-steps:
a first sub-step of, for each quality parameter detection item in the above road quality detection table, executing the following processing steps:
1. and determining the detection parameters of which the corresponding parameter labels are abnormal labels in all the detection parameters included in the quality parameter detection items as abnormal detection parameters to obtain an abnormal detection parameter set. The anomaly flag may indicate that a detected parameter is not within a set interval.
2. The number of abnormality detection parameters included in the abnormality detection parameter group is determined as the number of abnormality detection parameters.
3. The number of each detection parameter included in the quality parameter detection item is determined as a detection number.
4. And determining the ratio of the number of the abnormality detection parameters to the number of the detection parameters as an abnormality detection parameter ratio.
5. And combining the detection item name of the quality parameter detection item and the abnormal detection parameter ratio to obtain quality parameter detection information. Combining may be referred to as stitching.
And a second sub-step of combining the respective quality parameter detection information into quality parameter detection reference information. Here, combining may refer to stitching.
And a third sub-step of combining the total detection information, the target detection information, the detection item duty ratio information, the qualified detection item information and the quality parameter detection reference information into highway quality detection information.
And 105, filling the link information of the detection table and the highway quality detection information into a preset highway quality assessment blank table to generate a highway quality assessment table.
In some embodiments, the executing entity may fill in the detection table link information and the highway quality detection information into a preset highway quality assessment blank table to generate a highway quality assessment table. The highway quality assessment empty table may be an empty table for filling out the test table link information and the highway quality test information.
Optionally, in response to determining that the number of target detection items is less than the preset threshold, extracting each quality parameter detection item included in the road quality detection table to obtain a quality parameter detection item group.
In some embodiments, the executing entity may extract each quality parameter detection item included in the road quality detection table to obtain a quality parameter detection item group in response to determining that the target detection item number is less than the preset threshold.
Optionally, for each quality parameter detection item in the set of quality parameter detection items, the following processing steps are performed:
the first step, determining the detection parameters with the corresponding parameter labels as the abnormal labels in the detection parameters included in the quality parameter detection items as the abnormal detection parameters, and obtaining an abnormal detection parameter set.
And a second step of determining the number of abnormality detection parameters included in the abnormality detection parameter group as the number of abnormality detection parameters.
And thirdly, determining the number of each detection parameter included in the quality parameter detection item as a detection number.
And step four, determining the difference value between the detection quantity and the abnormal detection parameter quantity as the qualified detection parameter quantity.
And fifthly, determining the ratio of the number of the qualified detection parameters to the detection number as the ratio of the qualified detection parameters.
And sixthly, combining the quality parameter detection item and the qualified detection parameter ratio into quality parameter detection item information.
Optionally, quality detection information is generated according to the quality parameter detection item set.
In some embodiments, the executing entity may generate the quality detection information according to the quality parameter detection item set.
In practice, the execution subject may generate the quality detection information by:
and determining the quality parameter detection item with the corresponding detection label being a qualified label in the quality parameter detection item group as a qualified quality parameter detection item to obtain a qualified quality parameter detection item group.
And a second step of determining the number of qualified quality parameter detection items included in the qualified quality parameter detection item group as the number of qualified quality parameter detection items.
And thirdly, determining the number of quality parameter detection items included in the quality parameter detection item group as a target detection item number.
And step four, determining the ratio of the number of the qualified detection items to the number of the target detection items as a qualified detection item ratio.
And fifth, combining the qualified detection item ratio and the target detection item number into the quality detection information.
Optionally, filling the quality detection information and the quality parameter detection item information into the highway quality assessment blank table to generate a highway quality assessment table.
In some embodiments, the executing entity may fill in the quality detection information and the quality parameter detection item information into the highway quality assessment blank table to generate a highway quality assessment table.
The above optional related content is taken as an invention point of the present disclosure, so that the second technical problem mentioned in the background art is solved, that is, the actual detection items in the detection table are not distinguished, when the occupied memory of the detection table is larger, the detection table is directly sent to the monitoring terminal, more bandwidth is occupied, and waste of communication resources is caused. ". Factors that cause waste of communication resources are often as follows: the actual detection items in the detection table are not distinguished, when the occupied memory of the detection table is large, the detection table is directly sent to the monitoring terminal, more bandwidth is occupied, and waste of communication resources is caused. If the above factors are solved, the effect of reducing the waste of communication resources can be achieved. To achieve this, first, in response to determining that the number of the target detection items is smaller than the preset threshold, each quality parameter detection item included in the road quality detection table is extracted to obtain a quality parameter detection item group. Thus, when it is determined that the quality parameter detection items in the road quality detection table are fewer, the quality parameter detection items can be directly extracted. Thus, the actual detection items in the detection table can be distinguished. Next, for each quality parameter detection item in the above quality parameter detection item group, the following processing steps are performed: determining detection parameters, corresponding to the detection parameters included in the quality parameter detection items, as abnormal labels, as abnormal detection parameters, so as to obtain an abnormal detection parameter set; determining the number of the abnormality detection parameters included in the abnormality detection parameter set as the number of the abnormality detection parameters; determining the number of each detection parameter included in the quality parameter detection item as a detection number; determining the difference between the detection quantity and the abnormal detection parameter quantity as qualified detection parameter quantity; determining the ratio of the number of qualified detection parameters to the number of detection parameters as a qualified detection parameter ratio; and combining the quality parameter detection item and the qualification detection parameter ratio to obtain quality parameter detection item information. Thus, the condition of the quality parameter detection item can be explained preliminarily. Then, quality detection information is generated based on the quality parameter detection item group. And finally, filling the quality detection information and the quality parameter detection item information into the highway quality assessment empty table to generate a highway quality assessment table. Therefore, when the actual detection items (quality parameter detection items) in the detection table are fewer, the quality parameter detection items can be extracted, and the detection table is prevented from being directly sent to the monitoring terminal. The extracted quality parameter detection items may be transmitted to the monitoring terminal. Therefore, the occupation of bandwidth can be reduced, and the waste of communication resources is reduced.
Optionally, in response to detecting a change operation to the road quality detection table within a preset time period, deleting the road quality detection table, and determining the updated road quality detection table as a target road quality detection table.
In some embodiments, the execution body may delete the road quality detection table and determine the updated road quality detection table as the target road quality detection table in response to detecting a change operation to the road quality detection table within a preset period of time. Here, the changing operation may refer to a modification of the parameters of one or more quality parameter detection items in the above-described road quality detection table.
Optionally, according to the target highway quality detection table, target detection table link information and target highway quality detection information are generated.
In some embodiments, the executing entity may generate the target highway quality detection table link information and the target highway quality detection information according to the target highway quality detection table.
It should be noted that, the implementation manner of generating the target detection table linking information and the target highway quality detection information may specifically refer to the implementation manner of the detection table linking information and the highway quality detection information in step 104, which is not described herein again.
Optionally, filling the target detection table linking information and the target highway quality detection information into a preset highway quality assessment blank table to generate a target highway quality assessment table.
In some embodiments, the executing entity may fill in the target detection table linking information and the target highway quality detection information into a preset highway quality assessment blank table to generate a target highway quality assessment table.
Optionally, in response to not detecting a change operation to the highway quality detection table within a preset time period, the highway quality detection table is sent to an associated highway quality approval terminal for auditing.
In some embodiments, the executing entity may send the highway quality assessment table to an associated highway quality approval terminal for auditing in response to detecting no modification operation to the highway quality detection table within a preset period of time. Here, the road quality approval terminal may be a terminal that approves the road quality.
The above embodiments of the present disclosure have the following advantageous effects: by the highway quality assessment table generating method of some embodiments of the present disclosure, waste of communication resources is reduced. Specifically, the reason why communication resources are wasted is that: when the check table has more detection items, more bandwidth is occupied when the check table is transmitted, and communication resources are wasted. Based on this, the highway quality assessment table generating method of some embodiments of the present disclosure first determines the number of quality parameter detection items included in the above-described highway quality detection table as the number of target detection items in response to detecting the highway quality detection table uploaded by the target user. Thus, the road quality detection table can be distinguished according to the number of quality parameter detection items actually detected in the road quality detection table. And secondly, generating detection table link information corresponding to the highway quality detection table in response to determining that the number of the target detection items is greater than or equal to a preset threshold value. Wherein the table linking information is directed to the road quality table. Therefore, when the occupied memory of the highway quality detection table is larger, the link can be only sent to the monitoring terminal, so that the occupied bandwidth is reduced. Then, the number of empty items for quality parameter detection included in the above road quality detection table is determined as the number of items to be detected. Wherein the quality parameter detection empty term represents a detection term of an undetected quality parameter. And then, generating road quality detection information according to the road quality detection table, the target detection item number and the item to be detected. Thus, it is convenient to preliminarily explain the detection situation when sending detection information to the monitoring terminal. And finally, filling the link information of the detection table and the highway quality detection information into a preset highway quality assessment blank table to generate a highway quality assessment table. Therefore, the check list can be prevented from being directly sent to the monitoring terminal, and the occupation of bandwidth is reduced. Thus, waste of communication resources is reduced.
Referring now to fig. 2, a schematic diagram of an electronic device (e.g., a server) suitable for use in implementing some embodiments of the present disclosure is shown. The electronic devices in some embodiments of the present disclosure may include, but are 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), car terminals (e.g., car navigation terminals), and the like, as well as stationary terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 2 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. 2, the electronic device may include a processing means 201 (e.g., a central processing unit, a graphics processor, etc.) that may perform various suitable actions and processes in accordance with programs stored in a read-only memory 202 or loaded from a storage 208 into a random access memory 203. In the random access memory 203, various programs and data necessary for the operation of the electronic device are also stored. The processing means 201, the read only memory 202 and the random access memory 203 are connected to each other by a bus 204. An input/output interface 205 is also connected to the bus 204.
In general, the following devices may be connected to the input/output interface 205: input devices 206 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 207 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 208 including, for example, magnetic tape, hard disk, etc.; and a communication device 209. The communication means 209 may allow the electronic device to communicate with other devices wirelessly or by wire to exchange data. While fig. 2 shows an electronic device 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. 2 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 the communications device 209, or from the storage device 208, or from the read only memory 202. 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 device 201.
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 detecting a highway quality detection table uploaded by a target user, determining the number of quality parameter detection items included in the highway quality detection table as a target detection item number; generating detection table link information corresponding to the highway quality detection table in response to determining that the number of the target detection items is greater than or equal to a preset threshold, wherein the detection table link information points to the highway quality detection table; determining the number of quality parameter detection empty items included in the highway quality detection table as the number of items to be detected, wherein the quality parameter detection empty items represent detection items of undetected quality parameters; generating highway quality detection information according to the highway quality detection table, the number of target detection items and the number of items to be detected; filling the link information of the detection table and the highway quality detection information into a preset highway quality assessment blank table to generate a highway quality assessment table.
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 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 (5)
1. A highway quality assessment table generating method, characterized by comprising:
in response to detecting a highway quality detection table uploaded by a target user, determining the number of quality parameter detection items included in the highway quality detection table as a target detection item number, wherein the quality parameter detection items refer to detected parameter detection items;
generating detection table link information corresponding to the highway quality detection table in response to determining that the number of target detection items is greater than or equal to a preset threshold, wherein the detection table link information points to the highway quality detection table;
determining the number of quality parameter detection empty items included in the highway quality detection table as the number of items to be detected, wherein the quality parameter detection empty items represent detection items of undetected quality parameters;
generating highway quality detection information according to the highway quality detection table, the number of target detection items and the number of items to be detected;
filling the detection table linking information and the highway quality detection information into a preset highway quality assessment blank table to generate a highway quality assessment table;
wherein the generating highway quality detection information according to the highway quality detection table, the target detection item number and the to-be-detected item number includes:
determining the sum of the target detection item number and the item number to be detected as the total detection item number;
generating total detection information corresponding to the total detection item number;
generating target detection information corresponding to the number of target detection items;
determining the ratio of the target detection item number to the total detection item number as a detection item duty ratio;
generating detection item duty ratio information corresponding to the detection item duty ratio;
determining quality parameter detection items, corresponding to the quality parameter detection items, as qualified labels, in the road quality detection table to obtain qualified quality parameter detection item groups;
determining the number of qualified quality parameter detection items included in the qualified quality parameter detection item group as the number of qualified quality parameter detection items;
determining the ratio of the number of qualified detection items to the number of target detection items as a qualified detection item ratio;
generating qualified test item information corresponding to the qualified test item ratio;
and generating highway quality detection information according to the highway quality detection table, the total detection information, the target detection information, the detection item duty ratio information and the qualified detection item information.
2. The method according to claim 1, wherein the method further comprises:
deleting the highway quality detection table in response to detecting a change operation to the highway quality detection table within a preset time period, and determining the updated highway quality detection table as a target highway quality detection table;
generating target detection table link information and target highway quality detection information according to the target highway quality detection table;
filling the target detection table linking information and the target highway quality detection information into a preset highway quality assessment blank table to generate a target highway quality assessment table.
3. The method according to claim 1, wherein the method further comprises:
and in response to the fact that the change operation of the highway quality detection table is not detected within the preset time period, sending the highway quality assessment table to an associated highway quality approval terminal for auditing.
4. 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 1-3.
5. A computer readable medium, characterized in that a computer program is stored thereon, wherein the program, when executed by a processor, implements the method according to any of claims 1-3.
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