CN108229917B - Project data analysis method and system - Google Patents
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Abstract
The invention provides a project data analysis method and system. Wherein the method is applied to a project data analysis system. The method comprises the steps that input project cost data are received through a first client side in response to user operation, and the first client side updates a project data list corresponding to a target project according to the project cost data. And sending the updated project data list to the server, and generating an analysis result by the server according to the received project data list and corresponding preset expected project data, and displaying the analysis result. Therefore, project cost data are fed back to the server in time, so that the server can remind a user of managing the cost in time after analysis, and unnecessary loss is avoided.
Description
Technical Field
The invention relates to the technical field of buildings, in particular to a project data analysis method and system.
Background
In the process of developing the prior project engineering, a construction project manager usually only focuses on field management and neglects the engineering cost and profit. Enterprises also check project managers according to field management conditions such as construction progress and the like, but do not check cost. But in fact cost is central in project management for an enterprise. Meanwhile, the cost data is continuously increased, and if the cost data cannot be timely managed and controlled, great loss is brought to construction enterprises.
Disclosure of Invention
The present invention is directed to a method and system for analyzing project data to solve the above problems.
In order to achieve the above purpose, the embodiment of the present invention adopts the following technical solutions:
in a first aspect, an embodiment of the present invention provides a project data analysis method, which is applied to a project data analysis system, where the system includes a server and multiple clients, the server and the multiple clients are in communication connection, and the multiple clients include a first client, and the method includes: the first client responds to user operation to receive input project cost data; the first client updates a project data list corresponding to the target project according to the project cost data; the first client sends the updated project data list to the server; and the server generates an analysis result according to the received project data list and the corresponding preset expected project data, and displays the analysis result.
In a second aspect, an embodiment of the present invention provides a project data analysis system, where the system includes a server and multiple clients, where the server and the multiple clients are in communication connection, and the multiple clients include a first client; the first client responds to user operation to receive input project cost data; the first client updates a project data list corresponding to the target project according to the project cost data; the first client sends the updated project data list to the server; and the server generates an analysis result according to the received project data list and the corresponding preset expected project data, and displays the analysis result.
Compared with the prior art, the project data analysis method provided by the invention is applied to a project data analysis system. The method comprises the steps that input project cost data are received through a first client side in response to user operation, and the first client side updates a project data list corresponding to a target project according to the project cost data. And sending the updated project data list to the server, and generating an analysis result by the server according to the received project data list and corresponding preset expected project data, and displaying the analysis result. Therefore, project cost data are fed back to the server in time, so that the server can remind a user of managing the cost in time after analysis, and unnecessary loss is avoided.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a schematic structural diagram of a project data analysis system according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of the server shown in fig. 1.
Fig. 3 is a flowchart illustrating steps of a project data analysis method according to an embodiment of the present invention.
Fig. 4 is another part of a flowchart illustrating steps of a project data analysis method according to an embodiment of the present invention.
Icon: 100-a server; 111-a memory; 112-a processor; 113-a communication unit; 200-an electronic device; 300-a client; 400-project data analysis system.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a project data analysis system 400 according to an embodiment of the present invention is provided. The project data analysis system 400 includes a server 100 and a plurality of electronic devices 200. The server 100 is communicatively connected to the electronic device 200.
The electronic device 200 is preferably a mobile terminal device, which may for example comprise a smartphone, a tablet, a laptop portable computer, a vehicle computer, a wearable mobile terminal, etc. A client 300 is installed in the electronic device 200. The client 300 corresponds to the server 100 and provides a service to the user.
The client 300 may be an iOS and an Android. The iOS end adopts Objective-C as a development language, and builds a development environment by using iOS SDK developed by apple Inc; the Android terminal adopts java as a development language, and builds a development environment by using Android SDK developed by Google corporation; and the PC terminal adopts C # as a development language and is developed based on NET.
Fig. 2 is a block diagram of the server 100. The server 100 includes a memory 111, a processor 112, and a communication unit 113.
The memory 111, the processor 112 and the communication unit 113 are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The software for implementing the project data analysis includes at least one software functional module which can be stored in the memory 111 in the form of software or Firmware (Firmware) or solidified in an Operating System (OS) of the server 100. The processor 112 is used to execute the executable modules stored in the memory 111.
The Memory 111 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 111 is used to store programs or data. The communication unit 113 is configured to establish a communication connection between the server 100 and another communication terminal via the network, and to transceive data via the network.
It should be understood that the configuration shown in fig. 2 is merely a schematic diagram of the configuration of the server 100, and that the server 100 may include more or less components than those shown in fig. 2, or have a different configuration than that shown in fig. 2. The components shown in fig. 2 may be implemented in hardware, software, or a combination thereof.
Referring to fig. 3, fig. 3 is a flowchart illustrating a project data analysis method according to a preferred embodiment of the invention. Application to the project data analysis system 400 shown in fig. 1. The project data analysis method comprises the following steps:
in step S101, the first client receives input project cost data in response to a user operation.
In an embodiment of the present invention, the project cost data may be cost data of an engineering project. Specifically, the category of project cost data may include, but is not limited to including, labor costs, material costs, construction machine usage costs, construction subcontract costs. The type of the project cost data can be increased or decreased according to the requirements of users. The project cost data entered by the user may be at least one of the above categories. Multiple clients 300 may be communicatively coupled to the server 100 at the same time, and clients 300 may also be communicatively coupled to each other. The plurality of clients 300 includes a first client. It should be noted that, when the user needs to upload the project cost data, the project cost data may be input by using a selected client 300 of the plurality of clients 300, and the selected client 300 needs to have an editing right for the project corresponding to the project cost data. For convenience of description, the client 300 that receives the user input project cost data is taken as the first client. While the client 300 that does not directly receive the user-entered project cost data is the second client.
And step S102, the first client side updates a project data list corresponding to the target project according to the project cost data.
In the embodiment of the present invention, the target project may be an engineering project corresponding to project cost data input by a user. Each client 300 has a list of project data corresponding to the project it has editing rights. The item data list includes a plurality of types of item cost data and a numerical value corresponding to each type. The item data list of the target item may be updated in such a manner that, when the received item cost data does not belong to the existing item data list, the kind corresponding to the item cost data is added to the item data list, and the value corresponding to the corresponding item cost data is written in the item data list; when the received project cost data belongs to the existing type of the project data list, the numerical value of the project cost data is used for updating the numerical value of the corresponding type in the project data list (replacing the original numerical value or increasing the original numerical value). For example, the project data list includes labor cost, material cost, and construction machine usage cost, and if the received project cost data input by the user is a new labor cost added value, the new labor cost added value is added to the original labor cost in the project data list to obtain an updated project data list.
Referring to fig. 4, the method may further include the steps of:
step S201, after receiving the project cost data, the first client generates a corresponding feature tag.
In the embodiment of the present invention, the sequence between step S102 and step S201 is not limited, and may be executed simultaneously. The first client may extract the hash value of the input project cost data as the feature tag after receiving the project cost data.
Step S202, the first client sends the project cost data and the feature tags to the plurality of second clients.
In the embodiment of the invention, the first client sends the project cost data and the feature tag to each second client. And judging whether the second client has the editing authority of the target project according to the project cost data.
Step S203, the second client having the editing right updates the item data list corresponding to the second client according to the item cost data, and stores the feature tag.
Note that, the second client having the editing authority also has a project data list corresponding to the target project, and the second client of this type updates the project data list stored in itself by using the project cost data as in step S102. A corresponding save feature tag.
And step S204, the second client side without the editing authority stores the characteristic label.
Through the above process, it is ensured that the project cost data input by each user can be known by other clients, so that the other clients can play a role in supervising the effectiveness of the data fed back to the server 100.
Step S103, the first client sends the updated item data list to the server 100.
In the embodiment of the present invention, the first client may add the feature tag corresponding to the item cost data input by the user to the item data list.
After the server 100 receives the item data list sent by the first client, the server 100 checks whether the updated item cost data in the item data list is valid according to the feature tag and the first item data list adjacent to the target item received last time. Specifically, the server 100 obtains a first item data list of an adjacent last received target item, compares the first item data list with the item data list received this time, determines data of an update part, calculates a feature tag corresponding to the data of the update part, and compares the calculated feature tag with a feature tag carried in the item data list. If the two are the same, the test result is valid; if not, the test result is invalid. When the verification result is valid, the server 100 receives and stores the item data list.
When the verification result is invalid, the server 100 randomly selects one of the second clients having the editing right to send a list request to obtain the second item data list corresponding to the target item in the selected second client having the editing right.
As an embodiment, the server 100 may check whether the updated project cost data in the second project data list is valid by checking whether the updated project cost data is valid according to the feature tag and the first project data list. The specific verification method is the same as the above-described verification method, and when the current verification result is valid, the server 100 stores the second item data list as the latest received item data list. And when the current check result is invalid, randomly selecting one client 300 from the rest other second clients with the editing authority repeatedly, and repeatedly acquiring a second item data list.
As another embodiment, the server 100 randomly selects a second client without the editing right and obtains a feature tag corresponding to the target project from the second client, and the server 100 checks whether the updated project cost data in the second project data list is valid according to the first project data list and the feature tag obtained from the selected second client without the editing right. When the verification result is valid, the server 100 stores the second item data list as the latest item data list.
Through the above process, data transferred between the first client and the server 100 can be prevented from being maliciously tampered by a third party. The data stored by the server 100 is guaranteed to be real and effective, so that accurate analysis data can be obtained.
Step S104, the server 100 generates an analysis result according to the received item data list and the corresponding preset expected item data, and displays the analysis result.
In the embodiment of the present invention, the server 100 may generate an analysis result according to the latest received and stored item data list and the corresponding preset expected item data. The expected item data is a preset warning curve corresponding to various costs corresponding to each time, the abscissa axis of the warning curve is time, and the ordinate axis of the warning curve is a corresponding warning threshold. Specifically, the item data list received and saved by the server 100 further includes a time tag of the update time, where the time tag may be the time when the first client receives the item cost data input by the user. It should be noted that the server 100 stores a list of item data corresponding to each target item sent by the client 300. The server 100 obtains a target item data list from the stored item data list according to an analysis time interval received from the user, where the time tag corresponding to the target item data list belongs to the analysis time interval. And extracting data of each category of the target item data list from the target item data list. And fitting a corresponding analysis curve according to the extracted data of each category, wherein the abscissa axis of the analysis curve is time, and the ordinate axis of the analysis curve is a corresponding cost value. Comparing each of the analysis curves with a corresponding expected curve in the expected item data to obtain the analysis result. And when the analysis curve exceeds the corresponding warning curve, generating alarm information, sending the alarm information to each client 300, and displaying the alarm information. And reminding to carry out cost control.
The embodiment of the present invention further provides a project data analysis system 400 corresponding to the above method, and the detailed scheme in the system can be implemented by referring to the above method, which is specifically as follows:
the first client is used for responding to user operation and receiving input project cost data. And the first client is used for updating the project data list of the corresponding target project according to the project cost data. And the first client is used for generating a corresponding characteristic label after receiving the project cost data. The first client is used for sending the project cost data and the feature tags to the plurality of second clients. And the second client is used for judging whether the target project has the editing authority according to the project cost data. And the second client with the editing authority is used for updating the corresponding project data list in the second client according to the project cost data and storing the characteristic label. And the second client without the editing authority is used for saving the characteristic label. The first client sends the updated item data list to the server 100. The server 100 is configured to generate an analysis result according to the received project data list and the corresponding preset expected project data, and display the analysis result. Specifically, the server 100 obtains a target item data list from the stored item data lists according to an analysis time interval received from the user, where the time tag corresponding to the target item data list belongs to the analysis time interval. And extracting data of each category of the target item data list from the target item data list. And fitting a corresponding analysis curve according to the extracted data of each category. Comparing each of the analysis curves with a corresponding expected curve in the expected item data to obtain the analysis result.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working process of the apparatus described above may refer to the corresponding process in the foregoing method embodiment, and is not described herein again.
In summary, the present invention provides a project data analysis method and system. Wherein the method is applied to a project data analysis system. The method comprises the steps that input project cost data are received through a first client side in response to user operation, and the first client side updates a project data list corresponding to a target project according to the project cost data. And sending the updated project data list to the server, and generating an analysis result by the server according to the received project data list and corresponding preset expected project data, and displaying the analysis result. Therefore, project cost data are fed back to the server in time, so that the server can remind a user of managing the cost in time after analysis, and unnecessary loss is avoided. The labor force is reasonably used according to the labor quota; plan management is enhanced, effective reserve is implemented, and backlog loss is reduced; the construction budget work material analysis is reinforced, and the use of materials is controlled in a rated manner; the serviceability and the utilization rate of the construction machinery are improved; reasonable configuration and lease are carried out, and the expenditure of mechanical cost is reduced; the construction organization design is reasonable, and secondary carrying is reduced; the method avoids the loss of control on the construction project cost of the enterprise, thereby being capable of obtaining better enterprise benefits.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. 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.
In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (8)
1. A project data analysis method is applied to a project data analysis system, the system comprises a server and a plurality of clients, the server is in communication connection with the plurality of clients, the plurality of clients comprise a first client, the plurality of clients further comprise a plurality of second clients, and the method comprises the following steps:
the first client responds to user operation to receive input project cost data;
the first client updates a project data list corresponding to the target project according to the project cost data;
the first client sends the updated project data list to the server;
the server generates an analysis result according to the received project data list and corresponding preset expected project data, and displays the analysis result;
the method further comprises the following steps:
generating a corresponding feature tag after the first client receives the project cost data; wherein the feature label is a hash value of the project cost data;
the first client sends the project cost data and the feature tags to the plurality of second clients;
the second client judges whether the second client has the editing authority of the target project according to the project cost data;
the second client with the editing authority updates the corresponding project data list in the second client according to the project cost data and stores the characteristic tag so as to assist the server to check whether the updated project cost data in the received project data list is valid;
and the second client without the editing authority stores the characteristic label.
2. The method of claim 1,
before the first client sends the updated item data list to the server, the method further includes: the first client adds the feature tag into the project data list;
after the first client sends the item data list, the method further comprises:
the server checks whether the updated project cost data in the project data list is valid according to the feature tag and a first project data list adjacent to the target project received last time;
and when the verification result is valid, the server receives and stores the project data list.
3. The method of claim 2, wherein when the verification result is invalid, the method further comprises:
and the server randomly selects a second client with the editing authority to send a list request so as to obtain a second item data list corresponding to the target item in the selected second client with the editing authority.
4. The method of claim 3, wherein the method further comprises:
the server verifying whether the updated project cost data in the second project data list is valid according to the feature tag and the first project data list;
and when the verification result is valid, the server takes the second item data list as a latest item data list and stores the latest item data list.
5. The method of claim 3, wherein the method further comprises:
the server randomly selects a second client without the editing authority, and obtains a characteristic label corresponding to the target project from the second client;
the server checks whether the updated project cost data in the second project data list is valid or not according to the first project data list and the feature tags acquired from the selected second client without the editing authority;
and when the verification result is valid, the server takes the second item data list as a latest item data list and stores the latest item data list.
6. The method of claim 1, wherein the item data list includes a time stamp of an update time, and the step of the server according to the item data list and corresponding predetermined expected item data comprises:
the server acquires a target item data list from the stored item data list according to an analysis time interval input by a user, wherein the time tag corresponding to the target item data list belongs to the analysis time interval;
extracting data of each category of the target item data list from the target item data list;
fitting a corresponding analysis curve according to the extracted data of each category;
comparing each of the analysis curves with a corresponding expected curve in the expected item data to obtain the analysis result.
7. A project data analysis system is characterized by comprising a server and a plurality of clients, wherein the server is in communication connection with the plurality of clients, and the plurality of clients comprise a first client; the plurality of clients further comprise a plurality of second clients;
the first client responds to user operation to receive input project cost data;
the first client updates a project data list corresponding to the target project according to the project cost data;
the first client sends the updated project data list to the server;
the server generates an analysis result according to the received project data list and corresponding preset expected project data, and displays the analysis result;
after the first client receives the project cost data, generating a corresponding feature tag; wherein the feature label is a hash value of the project cost data;
the first client sends the project cost data and the feature tags to the plurality of second clients;
the second client judges whether the second client has the editing authority of the target project according to the project cost data;
the second client with the editing authority updates the corresponding project data list in the second client according to the project cost data and stores the characteristic tag so as to assist the server to check whether the updated project cost data in the received project data list is valid;
and the second client without the editing authority stores the characteristic label.
8. The system of claim 7, wherein the item data list includes a time tag of an update time;
the server acquires a target item data list from the stored item data list according to an analysis time interval input by a user, wherein the time tag corresponding to the target item data list belongs to the analysis time interval;
extracting data of each category of the target item data list from the target item data list;
fitting a corresponding analysis curve according to the extracted data of each category;
comparing each of the analysis curves with a corresponding expected curve in the expected item data to obtain the analysis result.
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