CN113642903B - Factory unit consumption real-time analysis system based on index analysis method - Google Patents
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Abstract
The invention discloses a factory unit consumption real-time analysis system based on an index analysis method, which comprises a server, wherein the server is in communication connection with a unit consumption calculation module; the unit consumption calculation module is used for calculating unit consumption data, and the specific method comprises the following steps: obtaining the product yield Pi of the same day, the power consumption Li of the same day, the product yield Ki of the same day, the power consumption Mi of the same day, the current unit consumption DTi and the yesterday unit consumption ZTi; the unit consumption analysis system based on the index analysis method can calculate and display the influence weight of the loop ratio of the energy consumption and the yield of each sub-assessment unit on the unit consumption loop ratio of the father-level assessment unit, and the influence weight of the unit consumption change of each product on the total unit consumption. For factory management personnel, only the largest weight value is required to be concerned, so that the root of the increase of the unit consumption ring ratio of the checking unit can be found, and the analysis efficiency can be greatly improved; meanwhile, the calculation data is transmitted to the blockchain platform for uplink, so that the reality and tamper resistance of the calculation data are guaranteed.
Description
Technical Field
The invention belongs to the technical field of industrial production, and particularly relates to a factory unit consumption real-time analysis system based on an index analysis method.
Background
The unit consumption analysis method commonly used in the current unit consumption analysis system is generally a trend analysis method, namely, comparing unit consumption of 2 statistical periods or 2 continuous statistical periods, and determining the direction, amount and amplitude of the increase and decrease variation. Generally, there are: the same ratio analysis, the ring ratio analysis, and the fixed ratio (fixed base ratio) analysis, and the same ratio increase rate analysis, the ring ratio increase rate analysis, and the fixed ratio (fixed base ratio) increase rate analysis. By the analysis methods, a factory manager can rapidly locate an assessment unit with the largest unit consumption change as an object of key analysis and attention. The trend analysis method is widely applied to a plurality of unit consumption analysis systems, and the unit consumption ring ratio and the same ratio condition of each examination unit are displayed through a statistical report.
However, the unit consumption analysis system based on the trend analysis method can only judge the change condition of the unit consumption per se from the trend, and cannot further give out the place where the root of the maximum change is; moreover, such an analysis is only directed to the case where the checking unit only produces one product within a statistical period. When multiple types of products are produced, it is more difficult to further define which product is produced, and the unit consumption change of the parent level assessment unit is caused. The judgment needs to be carried out by relying on experience of management staff, and if the experience is insufficient, an error conclusion can be obtained, so that a great difficulty is caused for subsequent management work. Since the unit consumption itself is made up of energy consumption/yield, i.e. the unit consumption is inversely proportional to yield and directly proportional to energy consumption; the checking unit is composed of energy consumption and output of a plurality of sub-checking units. This results in the use of trend analysis methods that become quite complex in locating the cause of the greatest variation in unit consumption of the assessment unit.
Disclosure of Invention
The invention provides a factory unit consumption real-time analysis system based on an index analysis method, which solves the problems that the existing unit consumption analysis method is single in analysis product and cannot analyze a plurality of products.
The aim of the invention can be achieved by the following technical scheme:
the factory unit consumption real-time analysis system based on the index analysis method comprises a server, wherein the server is in communication connection with a unit consumption calculation module;
the unit consumption calculation module is used for calculating unit consumption data, and the specific method comprises the following steps:
step SA1: obtaining the product yield Pi of the same day, the power consumption Li of the same day, the product yield Ki of the same day, the power consumption Mi of the same day, the current unit consumption DTi and the yesterday unit consumption ZTi;
step SA2: according to the formulaObtaining an influence value DLi of the electric quantity of the product on the total unit consumption loop ratio of the operating body;
step SA3: according to the formulaObtaining an influence value DYI of the product unit consumption change on the total unit consumption of the operation body;
step SA4: according to the formulaObtaining the unit consumption ring ratio DH of the management body.
Further, the computing data is transmitted to a blockchain platform for uplink.
Further, the server is in communication connection with a unit consumption display module and a data analysis module.
Further, the unit consumption display module is used for displaying unit consumption information in real time, and the specific method comprises the following steps:
step SB1: setting a display item, acquiring unit consumption information, and matching the classification in the display item with the classification in the unit consumption information to acquire corresponding display data;
step SB2: and sending the display data to the blockchain trusted verification node for verification, and displaying the display data when the blockchain trusted verification node successfully verifies the display data.
Further, in step SB2, when the blockchain trusted verification node fails to verify the presentation data, error data is obtained, and the error data is fed back to SB1 to re-obtain the corresponding unit consumption information.
Further, the method for matching the classification in the display item with the classification in the unit consumption information in step SB1 includes:
setting corresponding display item classifications for the classifications of the unit consumption information, establishing an information matching table, and inputting the classifications of the unit consumption information and the corresponding display item classifications into the information matching table.
Further, the data analysis module is used for generating an analysis chart according to the unit consumption information, and the specific method comprises the following steps:
step SC1: establishing a unit consumption trend chart, and inputting the acquired current day unit consumption value into the unit consumption trend chart;
step SC2: inputting the reference unit consumption value into a unit consumption trend chart, connecting the points of adjacent dates by using straight lines, and marking the points as unit consumption lines;
step SC3: setting a mobile detection line, acquiring an update record of the unit consumption trend graph in real time, and moving the detection line when the unit consumption trend graph is updated;
when the detection line sends out a crossing signal for the first time, a corresponding unit consumption value point is obtained and marked as a unit consumption value min;
when the detection line stops sending out the cross signal, a corresponding unit consumption value point is obtained and marked as a unit consumption value max.
Further, the detection line is parallel to the x-axis, and the initial position coincides with the x-axis.
Compared with the prior art, the invention has the beneficial effects that: the unit consumption analysis system based on the index analysis method can calculate and display the influence weight of the loop ratio of the energy consumption and the yield of each sub-assessment unit on the unit consumption loop ratio of the father-level assessment unit, and the influence weight of the unit consumption change of each product on the total unit consumption. For factory management personnel, only the largest weight value is required to be concerned, so that the root of the increase of the unit consumption ring ratio of the checking unit can be found, and the analysis efficiency can be greatly improved; meanwhile, the calculation data is transmitted to the blockchain platform for uplink, so that the reality and tamper resistance of the calculation data are guaranteed.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a functional block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in FIG. 1, the invention provides a factory unit consumption real-time analysis system based on an index analysis method. The method utilizes the advantages of an exponential analysis method, can quantify the influence weight of the change of the ring ratio of the output and the energy consumption of each sub-examination unit on the change of the unit consumption ring ratio of the father-stage examination unit, and can also quantify the influence weight of the change of the ring ratio of the unit consumption of each product on the total unit consumption, thereby helping a factory manager to position the root cause of the unit consumption change of the examination unit at a glance. Meanwhile, the analysis system can be in butt joint with a production system (such as an MES system and an ERP system) of a factory to acquire real-time output, so that real-time statistics of unit consumption is realized, and real-time unit consumption change of each assessment unit of the factory is mastered. And by combining an index analysis method, the change reason of the unit consumption of each examination unit can be analyzed in real time.
The factory unit consumption real-time analysis system based on the index analysis method comprises a unit consumption calculation module, a unit consumption display module, a data analysis module and a server;
the unit consumption calculation module is used for calculating unit consumption data, and the specific method comprises the following steps:
step SA1: obtaining the product types produced by a factory, and marking the product types as i, wherein i=1, 2, … …, n and n are the product numbers; acquiring the product yield Pi of the current day and the electric quantity Li consumed by the corresponding product, and simplifying the electric quantity Li consumed by the corresponding product into the current day electric quantity Li for descriptive convenience; acquiring the product yield Ki of the previous day and the electric quantity Mi consumed by the corresponding product; the method can be simplified into the power consumption Mi of the previous day, the current unit consumption data is obtained, the current unit consumption is marked as DTi, the yesterday unit consumption data is obtained, and the yesterday unit consumption is marked as ZTi;
step SA2: according to the formulaObtaining an influence value DLi of the electric quantity of the product on the total unit consumption cycle ratio of the operating body, wherein the product corresponds to a certain product type;
step SA3: according to the formulaObtaining an influence value DYI of the product unit consumption change on the total unit consumption of the operation body;
step SA4: according to the formulaObtaining the unit consumption ring ratio DH of the management body;
step SA5: transmitting the calculated data to a block chain platform for uplink; the calculated data are the data calculated in the above steps SA2, SA3 and SA 4;
application scene:
it is known that a certain business of a factory produces a product a and a product B at a yield of A1 and a yield of B1, respectively, and electricity consumption generated by the production of the two products is an electricity quantity A1 and an electricity quantity B1 respectively. Likewise, yesterday yield and electricity consumption are respectively: yield A2 and yield B2, charge A2 and charge B2.
Business today unit consumption = unit consumption 1; the business body yesterday unit consumption=unit consumption 2.
Business today yield = yield a1+yield B1; yesterday yield = yield a2+yield B2.
The operator today's electricity=electricity a1+electricity B1; yesterday power = power a2+ power B2.
Wherein,
the value calculated by AS is the influence of the electric quantity of the product A on the total unit consumption loop ratio of the management body.
The value calculated by the BS is the influence of the electric quantity of the B product on the total unit consumption loop ratio of the management body. The AS type can be obtained by transformation:
wherein,
the CS calculated value is the influence of the unit consumption change of the A product on the total unit consumption of the management body.
If the product A and the product B are replaced by a sub-management body A and a sub-management body B of the management body, the influence of the electric quantity of the sub-management body A and the sub-management body B on the total unit consumption of the management body can be obtained through AS, BS and CS, and the influence of the unit consumption change of the sub-management body A on the total unit consumption of the management body can be obtained.
Similarly, if the business produces the products 1, 2, … …, N (or the business contains 1, 2, … …, N sub-businesses) in the statistics period, the impact weight of the power loop ratio variation of the N products (N sub-businesses) on the total unit consumption of the business is:
n productThe influence weight of the unit consumption ring ratio change of the (N sub-operators) on the total unit consumption of the operators is +.>
The unit consumption display module is used for displaying unit consumption information in real time, and the specific method comprises the following steps:
step SB1: setting a presentation item, which contents in the unit consumption information are to be presented, for example: analyzing the unit consumption, the reference unit consumption, the unit consumption ring ratio and the unit consumption same ratio of the object; the method comprises the steps of obtaining unit consumption information, wherein the unit consumption information comprises data calculated by a unit consumption calculation module and data obtained in other modes, and matching classification in a display item with classification in the unit consumption information to obtain corresponding display data;
step SB2: the display data is sent to a blockchain trusted verification node for verification, and when the blockchain trusted verification node successfully verifies the display data, the display data is displayed;
when the verification of the display data by the block chain trusted verification node fails, error data are acquired, the error data are fed back to SB1, and corresponding unit consumption information is acquired again;
the method for matching the classification in the display item with the classification in the unit consumption information in the step SB1 comprises the following steps:
acquiring the classifications of the unit consumption information, setting corresponding display item classifications for the classifications of the unit consumption information, establishing an information matching table, and inputting the classifications of the unit consumption information and the corresponding display item classifications into the information matching table;
when matching is carried out, inputting the classification in the display item into an information matching table, and matching the classification with the corresponding unit consumption information, so that data of the corresponding class can be obtained;
the data analysis module is used for generating an analysis chart according to the unit consumption information, analyzing, mainly analyzing electric quantity and output, and the electric quantity: analyzing the daily electric quantity, the electric quantity ring ratio and difference, the reference electric quantity and difference and the index electric quantity and difference; yield: analyzing daily yield, yield cycle ratio and difference, yield homonymy and difference;
the specific method comprises the following steps:
step SC1: establishing a coordinate system with unit consumption as a y axis and date as an x axis, marking the coordinate system as a unit consumption trend chart, acquiring the unit consumption of the current day and the corresponding date in real time, and inputting the acquired unit consumption and date into the unit consumption trend chart;
step SC2: obtaining a reference unit consumption value, inputting the reference unit consumption value into a unit consumption trend chart, wherein the reference unit consumption value does not change along with the change of a date in the unit consumption trend chart and is a straight line parallel to a date axis; the points of adjacent dates are connected by using straight lines and marked as unit consumption lines, namely the connection lines of unit consumption values in the unit consumption trend graph;
step SC3: setting a detection line for detecting an intersection point, generating an intersection signal when the detection line intersects with the unit consumption line, and stopping generating the intersection signal when the detection line does not intersect with the unit consumption line, wherein the generated intersection signal is continuous; the detection line is parallel to the x-axis, and the initial position is coincident with the x-axis; the method comprises the steps of acquiring an update record of a unit consumption trend chart in real time, wherein the update record is to input a unit consumption value into the unit consumption trend chart, and when the unit consumption trend chart is acquired, a mobile detection line moves upwards along the y-axis because the unit consumption values are all non-negative numbers;
when the detection line sends out a crossing signal for the first time, a corresponding unit consumption value point is obtained and marked as a unit consumption value min;
when the detection line stops sending out the cross signal, a corresponding unit consumption value point is obtained and marked as a unit consumption value max.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas which are obtained by acquiring a large amount of data and performing software simulation to obtain the closest actual situation, and preset parameters and preset thresholds in the formulas are set by a person skilled in the art according to the actual situation or are obtained by simulating a large amount of data.
The working principle of the invention is as follows: calculating unit consumption data, obtaining the type of products produced by a factory, marking the type of products as i, obtaining the product yield Pi of the same day and producing the electric quantity Li consumed by the corresponding products, and simplifying the electric quantity Li consumed by the corresponding products into the electric quantity Li consumed by the same day for convenience of description; obtaining the product yield Ki of the previous dayAnd producing the corresponding electric quantity Mi consumed by the product; the method can be simplified into the power consumption Mi of the previous day, the current unit consumption data is obtained, the current unit consumption is marked as DTi, the yesterday unit consumption data is obtained, and the yesterday unit consumption is marked as ZTi; according to the formulaObtaining an influence value DLi of the electric quantity of the product on the total unit consumption loop ratio of the operating body, and obtaining a value DLi according to the formula +.>Obtaining an influence value DYI of the product unit consumption change on the total unit consumption of the operation body; according to the formula->Obtaining the unit consumption ring ratio DH of the management body; transmitting the calculated data to a block chain platform for uplink;
displaying unit consumption information in real time, setting display items, acquiring the unit consumption information, and matching the classification in the display items with the classification in the unit consumption information to acquire corresponding display data; the display data is sent to a blockchain trusted verification node for verification, and when the blockchain trusted verification node successfully verifies the display data, the display data is displayed; when the verification of the display data by the block chain trusted verification node fails, error data are acquired, the error data are fed back to the steps, and corresponding unit consumption information is acquired again; acquiring the classifications of the unit consumption information, setting corresponding display item classifications for the classifications of the unit consumption information, establishing an information matching table, and inputting the classifications of the unit consumption information and the corresponding display item classifications into the information matching table; when matching is carried out, inputting the classification in the display item into an information matching table, and matching the classification with the corresponding unit consumption information, so that data of the corresponding class can be obtained;
generating an analysis chart according to the unit consumption information, analyzing the electricity quantity and the output, establishing a coordinate system with the unit consumption as a y axis and the date as an x axis, marking the coordinate system as a unit consumption trend chart, acquiring the unit consumption of the current day and the corresponding date in real time, and inputting the acquired unit consumption and date into the unit consumption trend chart; obtaining a reference unit consumption value, inputting the reference unit consumption value into a unit consumption trend chart, connecting points of adjacent dates by using straight lines, setting a detection line, obtaining an update record of the unit consumption trend chart in real time, moving the detection line upwards along the y axis when the unit consumption trend chart is obtained to be updated, and obtaining a corresponding unit consumption value point when the detection line sends a crossing signal for the first time, and marking the unit consumption value point as a unit consumption value min; when the detection line stops sending out the cross signal, a corresponding unit consumption value point is obtained and marked as a unit consumption value max.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be other manners of division when actually implemented; the modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the method of this embodiment.
It will also 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 characteristics 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 signs in the claims shall not be construed as limiting the claim concerned.
Furthermore, it is evident that the word "comprising" does not exclude other elements or steps, and that the singular does not exclude a plurality. A plurality of units or means recited in the system claims can also be implemented by means of software or hardware by means of one unit or means. The terms second, etc. are used to denote a name, but not any particular order.
Finally, it should be noted that the above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (6)
1. The factory unit consumption real-time analysis system based on the index analysis method comprises a server, and is characterized in that the server is in communication connection with a unit consumption calculation module, a unit consumption display module and a data analysis module;
the unit consumption calculation module is used for calculating unit consumption data, and the specific method comprises the following steps:
step SA1: obtaining the product yield Pi of the same day, the power consumption Li of the same day, the product yield Ki of the same day, the power consumption Mi of the same day, the current unit consumption DTi and the yesterday unit consumption ZTi;
step SA2: according to the formulaObtaining an influence value DLi of the electric quantity of the product on the total unit consumption loop ratio of the operating body;
step SA3: according to the formulaObtaining an influence value DYI of the product unit consumption change on the total unit consumption of the operation body;
step SA4: according to the formulaObtaining a management body unit consumption ring ratio DH;
step SA5: transmitting the calculated data to a block chain platform for uplink; the calculated data are the data calculated in the above steps SA2, SA3 and SA 4;
the unit consumption display module is used for displaying unit consumption information in real time;
the data analysis module is used for generating an analysis chart according to the unit consumption information.
2. The real-time analysis system of unit consumption of a factory based on an exponential analysis method according to claim 1, wherein the unit consumption display module is configured to display unit consumption information in real time, and the specific method comprises:
step SB1: setting a display item, acquiring unit consumption information, and matching the classification in the display item with the classification in the unit consumption information to acquire corresponding display data;
step SB2: and sending the display data to the blockchain trusted verification node for verification, and displaying the display data when the blockchain trusted verification node successfully verifies the display data.
3. The real-time analysis system for unit consumption of a factory based on an exponential analysis method according to claim 2, wherein in step SB2, when the blockchain trusted verification node fails to verify the presentation data, error data is obtained, the error data is fed back to SB1, and corresponding unit consumption information is obtained again.
4. The real-time analysis system for unit consumption of a plant based on an exponential analysis method according to claim 2, wherein the method for matching the classification in the presentation item with the classification in the unit consumption information in step SB1 comprises:
setting corresponding display item classifications for the classifications of the unit consumption information, establishing an information matching table, and inputting the classifications of the unit consumption information and the corresponding display item classifications into the information matching table.
5. The real-time analysis system for unit consumption of a factory based on an exponential analysis method according to claim 1, wherein the data analysis module is configured to generate an analysis chart according to unit consumption information, and the specific method comprises:
step SC1: establishing a unit consumption trend chart, and inputting the acquired current day unit consumption value into the unit consumption trend chart;
step SC2: inputting the reference unit consumption value into a unit consumption trend chart, connecting the points of adjacent dates by using straight lines, and marking the points as unit consumption lines;
step SC3: setting a mobile detection line, acquiring an update record of the unit consumption trend graph in real time, and moving the detection line when the unit consumption trend graph is updated;
when the detection line sends out a crossing signal for the first time, a corresponding unit consumption value point is obtained and marked as a unit consumption value min;
when the detection line stops sending out the cross signal, a corresponding unit consumption value point is obtained and marked as a unit consumption value max.
6. The real-time analysis system for plant unit consumption based on the exponential analysis method according to claim 5, wherein the detection line is parallel to the x-axis, and the initial position coincides with the x-axis.
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