CN109472715B - Digital industrial energy management and control service system - Google Patents
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Abstract
The invention discloses a digital industrial energy management and control service system, which comprises a management and control system customization module, a data analysis module and a data analysis module, wherein the management and control system customization module is used for customizing an energy intelligent management and control system according to field test and test data analysis; the system installation and debugging module is used for specifically installing the management and control system in a factory and debugging the management and control system to a normal working state; the data management monitoring module is used for carrying out data monitoring on the energy use of the production equipment, unifying energy planning and scheduling macroscopically and preventing equipment faults; the data management monitoring module specifically comprises a data correlation system and a data processing system, wherein the data correlation system comprises an upstream and downstream workshop data carding unit and an automatic closed-loop control unit, and the data processing system comprises a data real-time acquisition unit, a data online monitoring unit and a data processing prejudging unit; the traditional energy-saving mode only aiming at single energy or single equipment is changed, and macroscopic energy saving is carried out on three dimensions of management specification, process optimization and technical transformation of the whole factory.
Description
Technical Field
The invention relates to the field of energy management and control, in particular to a digital industrial energy management and control service system.
Background
With the acceleration of modern industrial process, the energy crisis is gradually obvious, and at present, the total amount of many energy reserves is not optimistic, and energy consumption increases fast, and the energy consumption level is high, and environmental pressure is huge unprecedentedly. The traditional energy-saving management and control of single equipment or single energy can not meet the market demand, and enterprises need the comprehensive energy management and control.
The existing energy management system has the following defects when in use:
(1) the managed energy is single in type, and unified management and scheduling cannot be performed on energy such as water, electricity, steam, heat, coal and the like;
(2) the energy depth of management is insufficient, energy management is only carried out according to an energy control system, the energy consumption cannot be controlled fundamentally, the energy saving rate is low, and complete energy saving is not realized;
(3) the method has the advantages that each device in the production workshop is only monitored by local data, energy data are incomplete, and when the device data are in an abnormal state, the traditional mode of manual diagnosis and analysis and field maintenance is needed, fault alarming and intelligent repair are lacked, the fault frequency is high, and the normal working efficiency is influenced;
(4) energy sources of all production workshops are not interconnected, information is not communicated, and the intermediate energy consumption is high, so that the energy-saving and consumption-reducing problems of energy consumption grey zones among the workshops and energy consumption systems cannot be solved;
(5) the problem that the energy saving rate of an energy management and control system is reduced year by year is caused due to the lack of a memory function for the high-efficiency working performance of equipment.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a digital industrial energy management and control service system which can effectively solve the problems in the background art.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a digital industrial energy management and control service system comprises a management and control system customization module, a data analysis module and a data analysis module, wherein the management and control system customization module is used for customizing an energy intelligent management and control system according to field test and test data analysis;
the system installation and debugging module is used for debugging the energy management and control system to be in a normal working state according to the total energy consumption difference of the equipment before and after the energy management and control system is installed;
the data management monitoring module is used for carrying out data monitoring on the energy use of the production equipment, unifying energy planning and scheduling from macro view and preventing equipment faults;
the data management monitoring module specifically comprises a data association system and a data processing system, the data association system comprises an upstream and downstream workshop data carding unit and an automatic closed-loop control unit, and the data processing system comprises a data real-time acquisition unit, a data online monitoring unit and a data processing prejudging unit.
Further, the management and control system customizing module specifically comprises a field testing unit, a data analyzing and calculating unit and a transformation scheme making unit.
Further, the specific steps for determining the normal operation of the energy management and control system are as follows:
before the system installation and debugging module operates, the total energy consumption measurement of the original energy management and control system is required to be recorded;
after the system installation and debugging module operates, recording the total energy consumption measurement of the equipment of the current energy management and control system;
and determining the normal work of the energy management and control system according to the total energy consumption metering difference of the equipment before and after the system installation and debugging module operates.
Further, the system installation and debugging module includes an energy-saving boot unit, and the specific working steps of the energy-saving boot unit are as follows:
starting all the equipment according to different combined starting modes, and acquiring energy consumption in the starting modes in real time by a data real-time acquisition unit;
counting the energy consumption of equipment in the starting modes of different combinations, and automatically identifying the optimal combination with the lowest energy consumption;
confirming whether the optimized combination has faulty equipment, removing the faulty equipment, automatically starting the standby machine, and then determining the optimal starting combination again according to the data real-time acquisition unit;
and automatically controlling the starting operation of the equipment according to the optimal starting combination.
Furthermore, the data processing system also comprises a data memory unit, wherein the data memory unit is used for analyzing the high-efficiency working area of various devices in the service life so as to ensure the continuous energy conservation of the devices, one end of the data memory unit is connected with the data real-time acquisition unit, and the other end of the data memory unit is directly connected with the device end database.
Further, the specific working steps of the data memory unit are as follows:
the data memory unit collects the data collected by the data real-time collection unit in a centralized way by utilizing a big data analysis technology;
summarizing an operation data rule of each device according to the result of the big data analysis technology;
comparing the operation data rule of the equipment with the real-time data of the equipment-side database, and performing adaptive correction on the operation data of the equipment;
and establishing an efficient working area range during the operation of the equipment, and supervising and implementing specific work of the equipment through an energy management system.
Further, the working process of the data real-time acquisition unit, the data online monitoring unit and the data processing pre-judging unit is as follows: the data real-time acquisition unit tracks and acquires data in the working process of the equipment in real time, the data online monitoring utilizes a big data processing mode to analyze the running condition of the computing equipment, and the data processing prejudgment unit automatically diagnoses related products among abnormal data and controls the products to repair the products by self so as to prevent equipment faults.
Furthermore, the data association system also comprises an upstream and downstream process planning unit connected with the upstream and downstream workshop data combing unit, wherein the upstream and downstream process planning unit is used for dividing the production workshop into upstream production equipment and downstream production equipment according to the manufacturing process of the production workshop.
Further, the upstream and downstream inter-train data carding unit is used for analyzing the internal relation of energy consumption of the upstream production equipment and the downstream production equipment, and a solution is made according to the internal relation.
Further, the digital industrial energy management and control service system further comprises an energy-saving management and control method, and specifically comprises the following steps:
step 100, starting equipment to work according to the optimal starting combination determined by the energy-saving starting unit;
200, forming a closed-loop control mode with energy interconnection, message intercommunication and low intermediate energy consumption for the equipment in the optimal combination according to the connection relation of the data association system;
step 300, calling a data range of efficient work of each device in the data memory unit, and adjusting the device data to be within the range of efficient work;
and step 400, carrying out data monitoring and data processing on the equipment with unified closed-loop control mode, and preventing equipment faults in time according to data analysis results.
Compared with the prior art, the invention has the beneficial effects that:
(1) the management and control system can control and manage complete types of energy sources, and completely solve the management problem of the whole energy source use of water, electricity, steam, heat and coal in a factory;
(2) the invention further promotes the energy management level, can solve the redundant energy consumption generated by the island mode of the production workshop and the energy disconnection to a certain extent, and the management system can macroscopically unify the energy planning and scheduling, reduce the energy consumption of the whole plant and save energy more thoroughly;
(3) the invention increases the starting process of the intelligent control production equipment, intelligently analyzes the superscript data in advance to correlate the equipment, effectively prevents the fault equipment and drives the equipment to self-repair, can analyze the high-efficiency energy ratio of various equipment in different service life periods, solves the problem that the equipment cannot continuously save energy, and is more beneficial to equipment management and energy conservation and consumption reduction.
Drawings
Fig. 1 is a schematic structural diagram of an energy management and control system according to the present invention;
FIG. 2 is a schematic view of a specific energy saving management and control process of the management and control system of the present invention
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. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the invention provides a digital industrial energy management and control service system, which comprises a management and control system customization module, a system installation and debugging module and a data management and monitoring module, changes the traditional energy-saving mode only aiming at single energy or single equipment, performs macroscopic energy conservation on three dimensions of management specification, process optimization and technical transformation of the whole factory, and comprises management of energy such as water, electricity, steam, heat, coal (oil) and the like, energy conservation and emission reduction.
The energy conservation and emission reduction are realized by using a management standard mode, the energy conservation and emission reduction are embodied in the working flows of a management and control system customizing module and a system installing and debugging module, the two modules are the preprocessing stages of the whole energy management system, and the individualized management and control system matched with the energy use of a factory is specially customized according to the specific form and working state of the factory work.
The management and control system customization module specifically comprises a field test unit, a data analysis and calculation unit and a modification scheme making unit, and the module mainly comprises the following working processes: the field test unit tests data at the working field of the equipment, the data analysis and calculation unit analyzes the measured energy consumption data of the equipment, the modification scheme unit formulates a design modification scheme according to the data result obtained by the data analysis and calculation unit, and the whole energy intelligent management and control system is customized.
The system installation and debugging module is used for carrying out system debugging according to the total energy consumption difference of equipment before and after the energy management and control system is installed until the energy management and control system is in a normal working state, a basic performance test of a product is required to be carried out before the system installation and debugging module runs, the quality of the energy management and control system is guaranteed, a later maintenance period is shortened, the total energy consumption metering of the original energy management and control system is required to be recorded before the system installation and debugging module runs, the total energy consumption metering of the current energy management and control system is recorded after the system installation and debugging module runs, and the normal working of the system is determined according to the total energy consumption metering difference of the equipment before and after the system installation and debugging module runs.
In addition, it should be noted that the main innovation point of the system installation debugging module is that the energy-saving startup unit in the system installation debugging module provides a novel energy-saving technology, changes the traditional startup mode of the equipment, develops the artificial intelligent startup module, finds the optimal startup combination in the most energy-saving way through the permutation, combination and analysis of big data, and when each equipment has a fault hidden trouble, the system can automatically recognize and make combination and adjustment in time.
The specific working steps of the energy-saving starting unit are as follows:
starting all the equipment according to different combined starting modes, and acquiring energy consumption in the starting modes in real time by a data real-time acquisition unit; counting the energy consumption of equipment in the starting modes of different combinations, and automatically identifying the optimal combination with the lowest energy consumption; confirming whether the optimized combination has faulty equipment, removing the faulty equipment, automatically starting the standby machine, and then determining the optimal starting combination again according to the data real-time acquisition unit; and automatically controlling the starting operation of the equipment according to the optimal starting combination.
The energy-saving method by utilizing process optimization and technical transformation in the energy management and control system mainly focuses on a data management and monitoring module, which is used for carrying out data monitoring on the energy management and control system, unifying energy planning and scheduling in a macroscopic view and preventing equipment faults, and the data management and monitoring module is explained in detail below.
The data management monitoring module comprises a data correlation system and a data processing system, and the data correlation system changes an energy consumption island mode of a production workshop into a closed-loop control mode of communication and intercommunication of whole engineering information, so that the system can unify energy planning and control part scheduling macroscopically, completely eliminates energy consumption grey zones among workshops, and achieves the purposes of 5% -10% of energy saving and thorough energy saving.
The data processing system utilizes big data processing analysis calculation to automatically diagnose the equipment related to abnormal data, and self-repair the equipment through an artificial intelligence technology, thereby preventing faults, delaying the occurrence time of the faults and prolonging the service life of the equipment.
The data association system comprises an upstream and downstream workshop data carding unit and an automatic closed-loop control unit, the data association system also comprises an upstream and downstream process planning unit connected with the upstream and downstream workshop data carding unit, the upstream and downstream process planning unit is used for dividing a production workshop into upstream production equipment and downstream production equipment according to the manufacturing process flow of the production workshop, the upstream and downstream workshop data carding unit is used for analyzing and carding the internal relation of energy consumption of the upstream production equipment and the downstream production equipment, a solution is formulated according to the internal relation, the automatic closed-loop control unit can execute a control program of the solution, a water system, an air compressor system and a fan system form a closed-loop control statistical analysis data chain, the closed-loop control analysis data chain is changed from an isolated island mode to a closed-loop mode, so that mutual linkage and information intercommunication between each workshop and each department are realized, the problems that energy sources of all production workshops are not interconnected, information is not intercommunicated, and intermediate energy consumption cannot be solved are solved.
The data processing system specifically comprises a data real-time acquisition unit, a data online monitoring unit and a data processing pre-judging unit.
The data real-time acquisition unit, the data on-line monitoring unit and the data processing pre-judging unit are matched to operate in such a way that the data real-time acquisition unit is used for installing metering instruments such as a water meter, an electricity meter, a gas meter, a steam meter, a sensor and the like in a factory, the instruments can be seen through two-dimensional, three-dimensional, local and overall images on software, the data of the metering instruments in the working process is tracked and acquired in real time, energy data are transmitted to the data on-line monitoring unit in real time by utilizing a wireless communication network transmission technology, the data on-line monitoring utilizes a big data processing mode to analyze the operation condition of computing equipment, the data processing pre-judging unit intelligently counts and analyzes the use condition of the energy data related to the whole factory, each workshop, each system, each team and each equipment, so as to realize the automatic counting and analysis of energy, and automatically diagnosing the related products among abnormal data, controlling the products to carry out self-repair, and preventing equipment faults.
The data processing system is characterized by further comprising a data memory unit, wherein the data memory unit is used for analyzing efficient working areas of various devices in the service life so as to ensure that the devices can continuously save energy, one end of the data memory unit is connected with the data real-time acquisition unit, and the other end of the data memory unit is directly connected with the device end database.
The specific working steps of the data memory unit are as follows:
the data memory unit collects the data collected by the data real-time collection unit in a centralized way by utilizing a big data analysis technology; summarizing the operating data rule of each device according to the result of the big data analysis technology; comparing the operation data rule of the equipment with the real-time data of the equipment-side database, and performing adaptive correction on the operation data of the equipment; and establishing an efficient working area range during the operation of the equipment, and supervising and implementing the specific work of the equipment through an energy management system.
It should be added that the energy management system in this embodiment is mainly used to standardize the energy usage rules of a factory, clarify the energy management responsibilities, make the management requirements or specifications of the whole process of energy utilization, and establish the management mechanisms of eliminating laggard, implementing energy-saving technical transformation, punishment and other aspects, so as to enhance energy-saving management, reduce energy loss, and improve the energy utilization efficiency.
The data memory unit enables the equipment to have an energy memory function, high-efficiency areas of various kinds of equipment in different service life periods can be analyzed through big data analysis and calculation, the energy can be directly adjusted to a condition range corresponding to the high-efficiency working areas when the equipment works, the working efficiency of the whole equipment is improved, the problem that the equipment cannot continuously save energy is solved, and the energy saving rate is reduced to 0.1% per year.
In addition, as shown in fig. 2, in order to better describe the energy management and control service system of the present invention, the present invention further provides an energy saving management and control method of the energy management and control service system, which specifically includes the following steps
Step 100, starting equipment to work according to the optimal starting combination determined by the energy-saving starting unit;
200, forming a closed-loop control mode with energy interconnection, message intercommunication and low intermediate energy consumption for the equipment in the optimal combination according to the connection relation of the data association system;
step 300, calling a data range of efficient work of each device in the data memory unit, and adjusting the device data to be within the range of efficient work;
and step 400, carrying out data monitoring and data processing on the equipment with unified closed-loop control mode, and preventing equipment faults in time according to data analysis results.
The invention solves the problem that the traditional energy management system is insufficient in energy management and control depth, the energy management system in the market achieves the purposes of improving the management level and primary energy conservation through the management standard, but has small energy-saving potential and makes up the problem of incomplete energy conservation of the energy management system, and through various energy-saving technologies, the energy-saving transformation is thoroughly carried out on equipment with high specific energy consumption, and the electricity-saving rate is averagely over 30 percent.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (9)
1. The utility model provides a digital industrial energy management and control service system which characterized in that:
the intelligent energy management and control system comprises a management and control system customizing module and a data analysis and calculation module, wherein the management and control system customizing module is used for customizing an intelligent energy management and control system according to field test and test data analysis;
the system installation and debugging module is used for debugging the energy management and control system to be in a normal working state according to the total energy consumption difference of the equipment before and after the installation of the energy management and control system;
the data management monitoring module is used for carrying out data monitoring on the energy use condition of the production equipment, and unifying energy planning and scheduling in a macroscopic view to prevent equipment faults;
the data management monitoring module specifically comprises a data association system and a data processing system, wherein the data association system comprises an upstream and downstream workshop data carding unit, an automatic closed-loop control unit and an upstream and downstream process planning unit connected with the upstream and downstream workshop data carding unit, the upstream and downstream process planning unit is used for dividing a production workshop into upstream production equipment and downstream production equipment according to a manufacturing process flow of the production workshop, the upstream and downstream workshop data carding unit is used for analyzing and carding internal relation of energy consumption of the upstream production equipment and the downstream production equipment, and a solution is formulated according to the internal relation, the automatic closed-loop control unit can execute a control program of the solution, a water system, an air compressor system and a fan system form a closed-loop control statistical analysis data chain, and the closed-loop control analysis data chain is changed from an island mode to a closed-loop mode;
the data processing system comprises a data real-time acquisition unit, a data online monitoring unit and a data processing prejudging unit.
2. The digital industrial energy management and control service system according to claim 1, wherein the specific steps of determining the normal operation of the energy management and control system are as follows:
before the system installation and debugging module operates, the total energy consumption measurement of the original energy management and control system is required to be recorded;
after the system installation and debugging module operates, recording the total energy consumption measurement of the equipment of the current energy management and control system;
and determining the normal work of the energy management and control system according to the total energy consumption metering difference of the equipment before and after the system installation and debugging module operates.
3. The digital industrial energy management and control service system according to claim 1, wherein the system installation and debugging module includes an energy-saving power-on unit, and the energy-saving power-on unit specifically operates according to the following steps:
starting all the equipment according to different combined starting modes, and acquiring energy consumption in the starting modes in real time by a data real-time acquisition unit;
counting the energy consumption of equipment in the starting modes of different combinations, and automatically identifying the optimal combination with the lowest energy consumption;
confirming whether the optimized combination has faulty equipment, removing the faulty equipment, automatically starting the standby machine, and then determining the optimal starting combination again according to the data real-time acquisition unit;
and automatically controlling the starting operation of the equipment according to the optimal starting combination.
4. The digital industrial energy management and control service system as claimed in claim 1, wherein the data processing system further comprises a data memory unit, the data memory unit is used for analyzing efficient working areas of various devices in a life cycle to ensure continuous energy conservation of the devices, one end of the data memory unit is connected with the data real-time acquisition unit, and the other end of the data memory unit is directly connected with the device-end database.
5. The digital industrial energy management and control service system according to claim 4, wherein the data memory unit comprises the following specific working steps:
the data memory unit collects the data collected by the data real-time collection unit in a centralized way by utilizing a big data analysis technology;
summarizing an operation data rule of each device according to the result of the big data analysis technology;
comparing the operation data rule of the equipment with the real-time data of the equipment-side database, and performing adaptive correction on the operation data of the equipment;
and establishing an efficient working area range during the operation of the equipment, and supervising and implementing the specific work of the equipment through an energy management system.
6. The digital industrial energy management and control service system according to claim 1, wherein the real-time data acquisition unit, the online data monitoring unit and the data processing and pre-judging unit cooperate to perform the following working processes: the data real-time acquisition unit tracks and acquires data in the working process of the equipment in real time, the data online monitoring utilizes a big data processing mode to analyze the running condition of the computing equipment, and the data processing prejudgment unit automatically diagnoses related products among abnormal data and controls the products to self-repair so as to prevent equipment faults.
7. The digital industrial energy management and control service system according to claim 1, wherein the data association system further comprises an upstream and downstream process planning unit connected to the upstream and downstream workshop data combing unit, and the upstream and downstream process planning unit is configured to divide the workshop into upstream production equipment and downstream production equipment according to a manufacturing process of the workshop.
8. The digital industrial energy management and control service system as claimed in claim 7, wherein the upstream and downstream plant data carding unit is used for analyzing the intrinsic relationship of energy consumption of the upstream production equipment and the downstream production equipment, and making a solution according to the intrinsic relationship.
9. The digital industrial energy management and control service system according to any one of claims 1 to 8, further comprising an energy saving management and control method, specifically comprising the following steps:
step 100, starting equipment to work according to the optimal starting combination determined by the energy-saving starting unit;
200, forming a closed-loop control mode with energy interconnection, message intercommunication and low intermediate energy consumption for the equipment in the optimal combination according to the connection relation of the data association system;
step 300, calling a data range of efficient work of each device in the data memory unit, and adjusting the device data to be within the range of efficient work;
and step 400, carrying out data monitoring and data processing on the equipment with unified closed-loop control mode, and preventing equipment faults in time according to data analysis results.
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