CN110971645B - Industrial intelligent energy-saving remote service system and method - Google Patents
Industrial intelligent energy-saving remote service system and method Download PDFInfo
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Abstract
The invention relates to an industrial intelligent energy-saving remote service system and a method, wherein the system comprises a user data terminal, a data acquisition server and a data uploading module, wherein the user data terminal is used for collecting enterprise energy consumption data of a user side and transmitting the data to the data acquisition server through the data uploading module; the acquisition server is used for receiving and analyzing the enterprise energy consumption data transmitted by the user data terminal; the data server is used for analyzing the enterprise energy consumption data and generating an analysis result; the Web server is used for Web publishing and Web access; the audio and video server is used for providing online audio and video services for users; the database is used for storing the enterprise energy consumption data and the analysis result; the remote service platform comprises a remote online watching module, a big data analysis module, an energy-saving research management module, an information release module, a version management module and a scheduling management module, and provides online and continuous energy-saving service for users according to the enterprise energy consumption data and the analysis result obtained by accessing the remote service platform.
Description
Technical Field
The invention belongs to the field of comprehensive energy conservation of systems, and particularly relates to an industrial intelligent energy-saving remote service system and method.
Background
At present, in order to respond to energy conservation and emission reduction initiatives proposed by the state, a large number of energy management center systems, on-line monitoring systems, power demand side systems and the like are operated on line in various places. However, most systems themselves can only visually display relevant parameters of current monitoring equipment, and service providers cannot provide remote online energy-saving service and online operation watching service for users. Some system service providers can provide system on duty services, but cannot provide services such as remote operation and maintenance services, continuous energy-saving research services, system upgrade and optimization and the like. Meanwhile, the following problems exist in the guard and maintenance of the user system by the system service provider: the system is low in watch efficiency, and the statistics and analysis of system problems cannot be quickly realized; the method is lack of acquisition and storage of enterprise production process data such as process parameters, equipment operation parameters, enterprise energy-saving technologies and energy-saving benefit data, and large data analysis cannot be realized, so that the energy consumption level of each industry and each enterprise cannot be quickly and accurately reflected, and data analysis and comparison between industries and enterprises cannot be realized; long-acting and continuous energy-saving research work for enterprises is lacked; for the energy-saving system project, the overall process data analysis is lacked, and the project implementation self-promotion and improvement are realized through the project data analysis.
Meanwhile, along with the online of a large number of systems, the work of system watching, system maintenance, energy-saving service, research and the like brings huge challenges on the investment of manpower and capital. The difficulty of providing remote services is also increasing as the number of enterprise systems to be served is changing from small to large, the hardware or software functions of the systems are changing from simple to complex, and the monitoring range of the systems is changing from small to large.
Disclosure of Invention
In order to solve the technical problems of low system watching efficiency, lack of effective energy-saving service and research and high system maintenance difficulty, the invention provides an industrial intelligent energy-saving remote service system and method.
An industrial intelligent energy-saving remote service system comprises: the system comprises a user data end, a data acquisition server, an audio and video server, a database, a remote service platform and a scheduling management module, wherein the user data end is used for collecting enterprise energy consumption data of a user side and transmitting the enterprise energy consumption data to the data acquisition server through a data uploading module, the data acquisition server is used for receiving and analyzing the enterprise energy consumption data transmitted by the user data end, the data server is used for analyzing the enterprise energy consumption data and generating an analysis result, the Web server is used for Web publishing and Web accessing, the audio and video server is used for providing online audio and video service for the user, the database is used for storing the enterprise energy consumption data and the analysis result, the remote service platform comprises a remote online watching module, a big data analysis module, an energy-saving research management module, an information publishing module, a version management module and a scheduling management module, and the enterprise energy consumption data and the analysis result obtained by the remote service platform are accessed to provide remote online, Continuous energy saving service.
Further, the online watch module comprises: the system comprises an on-duty configuration unit, an on-duty operation unit, an on-duty processing unit, an on-duty analysis unit and an on-line service unit, wherein the on-duty configuration unit is used for configuring on-duty parameters according to an on-duty protocol, the on-duty operation unit is used for acquiring the energy consumption condition, the safety condition and the system operation condition of an on-duty system, the on-duty processing unit is used for processing and recording problems found in the on-duty system, the on-duty analysis unit is used for inquiring the energy consumption data of the on-duty system, and the enterprise energy consumption data is compared and analyzed in real time and historical data, and the on-line service unit is used for developing on-line consultation through an audio-video server.
Further, the big data analysis module comprises: the system comprises a collecting unit, an analyzing unit and a comparing and analyzing unit, wherein the collecting unit is used for collecting enterprise energy consumption data of all user sides of the platform to obtain energy consumption conditions, safety conditions and system operation conditions, and the analyzing unit is used for inquiring the enterprise energy consumption data of all user sides of the platform to perform real-time comparison and analysis of data, comparison and analysis of historical data and trend analysis.
Further, the energy-saving research management module comprises: the analysis unit is used for comparing and analyzing the energy consumption data of the enterprise in real time and historical data, and the storage management unit is used for recording the comparison and analysis results and forming a research archive.
Further, the version management module includes: the device comprises a monitoring unit used for monitoring the version number of a user client system, a comparison unit used for comparing the version number with the stored latest version number of the user client, a prompt unit used for sending an upgrade prompt to the user client when the version number of the user client system is lower than the latest version number of the user client, and a recording unit used for recording the change information of the version number of the user client system.
Furthermore, the information publishing module is used for editing management information on the remote service platform and publishing the management information through the web server.
Further, the schedule management module includes: the system comprises a plan management unit, a project management unit, a personnel management unit and a comprehensive management unit, wherein the plan management unit is used for accepting, compiling and controlling a plan task, the project management unit is used for inputting, inquiring and tracking a project, the personnel management unit is used for personnel scheduling, distributed inquiry and personnel efficiency analysis, and the comprehensive management unit is used for counting and analyzing the execution conditions of the plan, the project and the personnel.
Further, the remote service platform adopts a mixed mode of a C/S system architecture and a B/S system architecture.
Further, the database comprises an energy data acquisition database and a data application analysis database.
An industrial intelligent energy-saving remote service method is applied to the intelligent energy-saving remote service system and used for executing the steps of on-line watching, big data analysis, energy-saving research management, information release, version management and/or scheduling management.
The invention has the beneficial effects that: the industrial intelligent energy-saving remote service system provided by the invention carries out automatic and intelligent comprehensive analysis on production data, process data, energy consumption data and management data, and realizes on-line automatic watching, intelligent energy consumption data analysis, energy-saving research management and energy-saving project information management through a remote service platform. Through online automatic watching, the related problems of a user system and equipment can be found in time, and the normal and safe operation of the system and the equipment is ensured; through the analysis of energy consumption data of each industry, a method with better energy efficiency management of the same industry can be applied to user enterprises with poorer energy efficiency management level, so that the rapid energy-saving application is realized; through continuous energy-saving research on a user system, energy consumption process data are accumulated, and an energy-saving space is searched from three aspects of equipment operation, a production process and a management strategy, so that energy-saving value-added services are provided for users.
Drawings
Fig. 1 is a schematic structural diagram of an industrial intelligent energy-saving remote service system according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an online watch module according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a big data analysis module according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an energy saving research management module according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a version management module according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a scheduling management module according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of an information publishing module according to an embodiment of the present invention;
fig. 8 is a functional architecture diagram of a remote service platform according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to specific embodiments and the accompanying drawings. Those skilled in the art will appreciate that the present invention is not limited to the drawings and the following examples.
The embodiment of the invention provides an industrial intelligent energy-saving remote service system.
Fig. 1 is an industrial intelligent energy-saving remote service system according to an embodiment of the invention. As shown in fig. 1, the industrial intelligent energy-saving remote service system 100 includes a user data terminal 110, a data collection server 120 and a database 130. The user data terminal 110 is used for collecting enterprise energy consumption data on the user side. A data uploading module is configured in the user data terminal 110, and the data uploading module transmits data to the data acquisition server 120 through a switch or a wireless transmitter. A data analysis module is configured in the data collection server 120, and is used to verify and analyze the received enterprise energy consumption data. The database 130 includes an energy data collection database and a data application analysis database. And the enterprise energy consumption data is safely backed up in the energy data acquisition database so as to be convenient for query.
The industrial intelligent energy-saving remote service system 100 further comprises a data server 140 for analyzing the enterprise energy consumption data and generating an analysis result. The generated analysis results are stored in a data application analysis database to facilitate querying. The analysis results include, but are not limited to, energy consumption status, safety status, and system operating status. The analysis results can also form data change curves, such as a lunar data change curve and a same ratio/ring ratio data change curve, so as to further analyze.
The industrial intelligent energy-saving remote service system 100 further comprises a Web server 150 and an audio/video server 160. The Web server 150 is used for Web publishing and Web access, so that the energy saving service research engineer can access the remote service platform to provide remote service for enterprise clients online. For example, audio or video remote services may be provided by the audio/video server 160 establishing a connection with PC client software or a cell phone app on the site of the enterprise client.
The industrial intelligent energy-saving remote service system 100 further comprises a remote service platform 170. The remote service platform 170 includes a remote online watch module, a big data analysis module, an energy-saving research management module, an information release module, a version management module, and a scheduling management module, and the energy-saving efficiency is improved by accessing the remote service platform to obtain the enterprise energy consumption data and the analysis result.
Fig. 2 is a schematic structural diagram of an online watch module according to an embodiment of the present invention. As shown in fig. 2, the online watching module 200 includes a watching configuration unit 210 for configuring the watching parameters according to the watching protocol. The system on duty range, key workshop section, key equipment, key process parameters and the like are defined in the on duty protocol. And the online watching module carries out automatic watching according to the configured watching parameters.
The online watching module 200 further includes a watching operation unit 220 for obtaining the current energy consumption status, the safety status and the system operation status of the watching system. The energy consumption state is that the energy consumption levels of different industries are reflected through calculation and analysis of the data server, and are compared and analyzed with national standard values, international system and industry standard values and the like; or reflect energy consumption levels between different enterprises in the same industry; or reflect the energy consumption level inside each enterprise, such as product unit consumption, workshop section unit consumption, equipment energy consumption, enterprise total consumption and the like. The safety condition refers to the running safety condition of the user equipment, and the safety failure rate of the equipment in different industries is reflected through calculation and analysis of the data server; or reflect the equipment safety failure rate between different enterprises in the same industry; or the equipment type proportion and the equipment failure rate ranking reflecting the equipment safety failure in the industry. The system operation state is calculated and analyzed through a data server, and the system problem occurrence amount of different industries is reflected; or reflecting the system problem occurrence amount among different enterprises in the same industry; or the proportion of the system problem types and the number of the system problem types in the industry are ranked.
The on-line watch module 200 further includes a watch processing unit 230 for processing and recording problems found in the watch system. Checking various kinds of on-duty problems through the on-duty problem list, carrying out corresponding processing and recording, and determining whether the problems are solved or not by the on-line on-duty module.
The on-line watch module 200 further includes a watch analysis unit 240 for querying an energy consumption status, a security status and a system operation status of the watch system, and performing real-time comparison analysis of the enterprise energy consumption data and comparison analysis of the historical data. In the real-time comparison analysis, the real-time data of the field equipment of the user is collected, and the equipment operation parameter comparison analysis, the key yield comparison analysis and the like are carried out.
The online watching module 200 further includes an online service unit 250 for conducting online consultation through the audio video server. And connecting the on-site client or mobile phone app of the enterprise user through the remote service platform to perform online audio and video conversation and provide online consultation service.
Fig. 3 is a schematic structural diagram of a big data analysis module according to an embodiment of the present invention. As shown in fig. 3, the big data analysis module 300 includes a summarizing unit 310, configured to summarize enterprise energy consumption data of all clients of the platform, and obtain an energy consumption status, a safety status, a system operation status, an energy efficiency map, and system distribution.
The big data analysis module 300 further includes an analysis unit 320 for querying enterprise energy consumption data of all clients of the platform, and performing real-time comparison analysis, historical data comparison analysis and trend analysis on the data. The trend analysis means that on the basis of industry or enterprise energy consumption data acquired by a system, a multi-core parallel computing technology is utilized from the third year on the basis of accumulating data amount of at least two years, Hadoop and other computing frames are utilized to carry out simulation prediction, the energy consumption change trend of the industry or enterprise is predicted, the safety condition change trend of enterprise equipment is predicted, and the operation condition change trend of the enterprise system is predicted.
The big data analysis module and the online watching module have similar functions, but the big data analysis module is used for summarizing and analyzing all enterprise user data accessed by the platform, and the online watching module is used for summarizing and analyzing only the enterprise data in the watching system. In addition, the big data analysis module and the online watching module can also comprise an alarm unit which sends out an alarm prompt when the relevant data reaches a threshold value according to the threshold value configured in the watching protocol.
Fig. 4 is a schematic structural diagram of an energy saving research management module according to an embodiment of the present invention. As shown in fig. 4, the energy saving research management module 400 includes an analysis unit 410 for comparing and analyzing the enterprise energy consumption data in real time and comparing and analyzing the historical data, and a storage management unit 420 for recording the results of the comparison and analysis, including but not limited to data, curves and conclusions, and forming a research file to facilitate management of queries.
Fig. 5 is a schematic structural diagram of a version management module according to an embodiment of the present invention. As shown in fig. 5, the version management module 500 includes a monitoring unit 510 for monitoring the version number of the user client system, a comparing unit 520 for comparing the version number with the stored latest version number of the user client, a prompting unit 530 for sending an upgrade prompt to the user client when the version number of the user client system is lower than the latest version number of the user client, and a recording unit 540 for recording the change information of the version number of the user client system. Therefore, the system version of the user client can be effectively updated and tracked in time.
Fig. 6 is a schematic structural diagram of a scheduling management module according to an embodiment of the present invention. As shown in fig. 6, the scheduling management module 600 includes a plan management unit 610, a project management unit 620, a personnel management unit 630, and a comprehensive management unit 640, wherein the plan management unit 610 is used for accepting, compiling, managing and controlling a planning task, the project management unit 620 is used for entering, querying and tracking a project, the personnel management unit 630 is used for personnel scheduling, distributed querying and personnel efficiency analysis, and the comprehensive management unit 640 is used for performing statistical analysis on the execution conditions of the plan, the project and the personnel. The remote service platform is used for making a project plan, distributing tasks, tracking the plan execution condition, implementing project management and personnel management through the platform, and checking a work result to reflect the execution condition of a project or personnel. The project execution information can be subjected to data statistics and analysis, such as plan completion rate, work quality of each project process and the like, so that the energy-saving project management informatization is realized.
Fig. 7 is a schematic structural diagram of an information publishing module according to an embodiment of the present invention. Various policy information, energy-saving technology, energy-saving products and other information are edited and managed on a remote service platform, and the information is issued to a user end system through a web server. Such as issuing text messages, file download links, etc. The user client can check various information sent by the platform or download corresponding files on the Internet according to the address link.
Fig. 8 is a functional architecture diagram of a remote service platform according to an embodiment of the present invention. As shown in fig. 8, besides the system attendance, big data analysis, energy saving research, system upgrade, and information release, the system also includes a system setting function for managing the energy consumption index, the attendance work, and the account.
The remote service platform adopts a mixed mode of a C/S system architecture and a B/S system architecture. The data uploading and analysis are based on a C/S system architecture, and peripheral access and external access adopt a B/S system architecture. The software of the C/S architecture is a data uploading module at a user data side and a data analyzing module at a data server side; the B/S architecture mainly runs the functional modules of the remote service platform. The C/S system architecture has high data real-time performance, safe access mode, low network communication volume and high response speed, so that the C/S system architecture is favorable for processing a large amount of data with high real-time performance requirement, and the data uploading and data analysis are operated on the C/S architecture. The software installation, modification and maintenance of the B/S architecture are all solved at the server side, all functional modules can be operated by only one browser, and the system has obvious advantages in the aspects of deployment, upgrading, updating and the like. In addition, the B/S system architecture can conveniently integrate other systems through a Web Service technology to realize SOA, and a remote Service platform is deployed on the B/S architecture to run in order to exert the strong statistical analysis advantage of the B/S architecture.
The embodiment of the invention also provides an industrial intelligent energy-saving remote service method which is applied to the intelligent energy-saving remote service system and used for executing the steps of online watching, big data analysis, energy-saving research management, information release, version management and/or scheduling management.
Embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the above method.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method when executing the program.
Those of skill in the art will understand that the logic and/or steps illustrated in the flowcharts or otherwise described herein, such as an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Further, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The embodiments of the present invention have been described above. However, the present invention is not limited to the above embodiment. Any modification, equivalent replacement, or improvement made without departing from the spirit and principle of the present invention shall fall within the protection scope of the present invention.
Claims (7)
1. An industrial intelligent energy-saving remote service system is characterized by comprising:
the user data terminal is used for collecting enterprise energy consumption data of a user side and transmitting the data to the data acquisition server through the data uploading module,
the acquisition server is used for receiving and analyzing the enterprise energy consumption data transmitted by the user data terminal,
a data server for analyzing the enterprise energy consumption data and generating an analysis result,
a Web server for Web publishing and Web access,
an audio-video server for providing on-line audio-video service to users,
a database for storing the enterprise energy consumption data and the analysis results,
the remote service platform comprises a remote online watching module, a big data analysis module, an energy-saving research management module, an information release module, a version management module and a scheduling management module, and provides remote, online and continuous energy-saving service for a user according to the enterprise energy consumption data and the analysis result obtained by accessing the remote service platform, wherein:
the online watch module comprises: the on-duty configuration unit is used for configuring on-duty parameters according to an on-duty protocol; the guarding operation unit is used for acquiring the energy consumption condition, the safety condition and the system operation condition of the guarding system, wherein the energy consumption condition is that the energy consumption levels of different industries are reflected through calculation and analysis of the data server and are compared and analyzed with national standard values, international standard values, industry standard values and the like, or the energy consumption levels among different enterprises in the same industry are reflected, or the energy consumption levels inside each enterprise are reflected, the safety condition is that the user equipment operates the safety condition, the data server calculates and analyzes to reflect the equipment safety fault rates of different industries, or reflect the equipment safety fault rates among different enterprises in the same industry, or reflect the equipment type proportion and equipment fault rate ranking of equipment safety faults in the industry, the system operation condition is that the data server calculates and analyzes to reflect the system problem occurrence amount of different industries, or reflecting the occurrence quantity of system problems among different enterprises in the same industry, or reflecting the occupation ratio of system problem types and the quantity ranking of the system problem types in the industry; the watch processing unit is used for processing and recording the problems found in the watch system; the system comprises an on-duty analysis unit, an enterprise energy consumption data comparison and analysis unit and a historical data comparison and analysis unit, wherein the on-duty analysis unit is used for inquiring the energy consumption data of an on-duty system, and comparing and analyzing the enterprise energy consumption data in real time and historical data; the online service unit is used for developing online consultation through the audio and video server;
the big data analysis module comprises: the system comprises a summarizing unit, a monitoring unit and a control unit, wherein the summarizing unit is used for summarizing enterprise energy consumption data of all user sides of a platform to obtain an energy consumption state, a safety state and a system operation state; the analysis unit is used for inquiring enterprise energy consumption data of all user sides of the platform and carrying out real-time comparison analysis, historical data comparison analysis and trend analysis on the data;
the scheduling management module comprises: the plan management unit is used for accepting, compiling and controlling a plan task; the project management unit is used for inputting, inquiring and tracking projects; the personnel management unit is used for personnel scheduling, distribution query and personnel efficiency analysis; and the comprehensive management unit is used for counting and analyzing the execution conditions of plans, projects and personnel.
2. The industrial intelligent energy-saving remote service system according to claim 1, wherein the energy-saving research management module comprises:
the analysis unit is used for comparing and analyzing the energy consumption data of the enterprise in real time and historical data,
and the storage management unit is used for recording the comparison and analysis result to form a research archive.
3. The industrial intelligent energy-saving remote service system as claimed in claim 1, wherein the version management module comprises:
a monitoring unit for monitoring the version number of the client system,
a comparing unit for comparing the version number with the latest version number stored in the user client,
a prompt unit for sending an upgrade prompt to the user client when the version number of the user client is lower than the latest version number of the user client,
and the recording unit is used for recording the change information of the version number of the user client system.
4. The industrial intelligent energy-saving remote service system as claimed in claim 1, wherein the information publishing module is used for editing management information at the remote service platform and publishing the management information through the web server.
5. The industrial intelligent energy-saving remote service system as claimed in claim 1, wherein the remote service platform adopts a hybrid mode of C/S system architecture and B/S system architecture.
6. The industrial intelligent energy-saving remote service system as claimed in claim 1, wherein the database comprises an energy data acquisition database and a data application analysis database.
7. An industrial intelligent energy-saving remote service method applied to the intelligent energy-saving remote service system according to any one of claims 1 to 6, for performing online watching, big data analysis, energy-saving research management, information release, version management and/or scheduling management steps.
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