Environment performance configuration method and device, electronic equipment and storage medium

Abstract

The invention discloses an environmental performance configuration method and device, electronic equipment and a storage medium, and relates to the field of data processing, and the method comprises the steps: obtaining a matched performance weight according to an environmental performance interval where the current environmental performance of a target producer is located; obtaining a matched yield weight according to the current yield of the target producer and a target yield; and configuring the target environmental performance of the target producer according to the current environmental performance of the target producer, the performance optimization amplitude, the performance weight and the yield weight. According to the technical scheme provided by the embodiment of the invention, the target environmental performance of the producer is calculated and obtained, the performance calculation efficiency is improved, and the personalized configuration generation of the target environmental performance is realized in combination with the actual production condition and the environmental performance difference between different producers, so that the user experience is improved. And the accuracy of the performance calculation result is greatly improved.

Description

Technical Field

[0001] The present invention relates to the field of data processing, and in particular, to an environmental performance configuration method, device, electronic device, and storage medium. Background Art

[0002] With the continuous progress of social life, environmental protection has become a hot topic of concern to people. For producers, various wastes inevitably exist in the process of commodity production. Accordingly, configuring corresponding environmental protection indicators for producers has become an essential step in commodity production.

[0003] For producers, there is an overall environmental optimization goal. For each of its subordinate sub-producers, it is necessary to specifically decompose this goal to each sub-producer to configure a corresponding environmental optimization sub-goal for each sub-producer, and then through the improvement of the production process of the sub-producer, enable itself to achieve the corresponding sub-goal. In the prior art, the configuration generation of environmental optimization sub-goals is usually based on empirical values and obtained through manual configuration.

[0004] However, such an environmental performance configuration method not only requires high labor costs and has low configuration efficiency, but also is not configured and generated in combination with the actual production situation, nor does it consider the environmental performance differences between different producers, and there are large errors in the configuration results. Summary of the Invention

[0005] The present invention provides an environmental performance configuration method, device, electronic device, and storage medium to solve the problem of large errors in the configuration results of target environmental performance.

[0006] According to one aspect of the present invention, there is provided an environmental performance configuration method, including:

[0007] Obtaining a matching performance weight according to the environmental performance interval where the current environmental performance of the target producer is located;

[0008] Obtaining a matching production weight according to the current production volume and target production volume of the target producer; wherein, the production weight has a negative correlation with the production volume difference between the target production volume and the current production volume;

[0009] Configuring the target environmental performance of the target producer according to the current environmental performance, performance optimization variation, the performance weight, and the production weight of the target producer.

[0010] The environmental performance allocation method further includes: obtaining a matching production weight according to the production downtime of the target producer; the configuring of the target environmental performance of the target producer according to the current environmental performance, performance optimization variation, the performance weight, and the production volume weight of the target producer includes: configuring the target environmental performance of the target producer according to the current environmental performance, performance optimization variation, the performance weight, the production volume weight, and the production weight of the target producer.

[0011] Before obtaining a matching performance weight according to the environmental performance interval where the current environmental performance of the target producer is located, it further includes: obtaining the average environmental performance of all producers, the first optimal environmental performance among all producers, and the second optimal environmental performance of the industry to which the producer belongs; constructing different environmental performance intervals according to the average environmental performance, the first optimal environmental performance, and the second optimal environmental performance.

[0012] The obtaining of a matching production volume weight according to the current production volume and the target production volume of the target producer further includes: obtaining the production volume difference between the target production volume and the current production volume, and taking the ratio of the production volume difference to the current production volume as the target production volume variation; obtaining a matching production volume weight according to the target production volume variation.

[0013] The obtaining of a matching production volume weight according to the target production volume variation includes: obtaining an associated change curve between the production volume variation and the environmental performance variation according to historical production records; wherein, the associated change curve is a reverse quadratic curve; obtaining the target environmental performance variation according to the target production volume variation and the associated change curve, and obtaining a matching production volume weight according to the target environmental performance variation.

[0014] The obtaining of a matching production volume weight according to the target production volume variation includes: obtaining a matching first calculation coefficient, second calculation coefficient, and third calculation coefficient according to the production volume variation interval to which the target production volume variation belongs; wherein, the first calculation coefficient is related to the maximum environmental performance variation of the previous production volume variation interval; the second calculation coefficient is related to the maximum production volume variation of the previous production volume variation interval; the third calculation coefficient is a preset variation coefficient; obtaining a matching production volume weight according to the target production volume variation, the first calculation coefficient, the second calculation coefficient, and the third calculation coefficient.

[0015] According to another aspect of the present invention, there is provided an environmental performance allocation device, including:

[0016] A performance weight obtaining module, configured to obtain a matching performance weight according to the environmental performance interval where the current environmental performance of the target producer is located;

[0017] A production weight acquisition module, configured to obtain a matching production weight according to the current production and target production of the target producer; wherein, there is a negative correlation between the production weight and the production difference between the target production and the current production;

[0018] A target environmental performance acquisition module, configured to configure the target environmental performance of the target producer according to the current environmental performance, performance optimization amplitude, performance weight, and production weight of the target producer.

[0019] According to another aspect of the present invention, there is provided an electronic device, including:

[0020] At least one processor; and

[0021] A memory communicatively connected to the at least one processor; wherein,

[0022] The memory stores a computer program executable by the at least one processor, and when the computer program is executed by the at least one processor, the at least one processor is enabled to execute the environmental performance configuration method according to any embodiment of the present invention.

[0023] According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for implementing the environmental performance configuration method according to any embodiment of the present invention when executed by a processor.

[0024] According to another aspect of the present invention, there is provided a computer program product including a computer program, which implements the environmental performance configuration method according to any embodiment of the present invention when executed by a processor.

[0025] The technical solution of the embodiment of the present invention obtains a matching performance weight according to the environmental performance interval where the current environmental performance of the target producer is located; obtains a matching production weight according to the current production and target production of the target producer; and configures the target environmental performance of the target producer according to the current environmental performance, performance optimization amplitude, performance weight, and production weight of the target producer. Thus, not only the calculation and acquisition of the target environmental performance of the producer are realized, improving the performance calculation efficiency, but also the personalized configuration and generation of the target environmental performance are realized in combination with the actual production situation and the environmental performance differences between different producers, greatly improving the accuracy of the performance calculation result.

[0026] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present invention, nor is it used to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. Description of the Drawings

[0027] To more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0028] Figure 1 is a flowchart of an environmental performance configuration method provided according to Embodiment 1 of the present invention;

[0029] Figure 2 is a flowchart of another environmental performance configuration method provided according to Embodiment 2 of the present invention;

[0030] Figure 3 is an association change curve between the production output variation range and the environmental performance variation range provided according to Embodiment 2 of the present invention;

[0031] Figure 4 is a flowchart of yet another environmental performance configuration method provided according to Embodiment 3 of the present invention;

[0032] Figure 5 is a schematic structural diagram of an environmental performance configuration device provided according to Embodiment 4 of the present invention;

[0033] Figure 6 is a schematic structural diagram of an electronic device for implementing the environmental performance configuration method of the embodiments of the present invention. Detailed implementation manners

[0034] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, rather than all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0035] It should be noted that the terms "first", "second", etc. in the description, claims and above-mentioned drawings of the present invention are used to distinguish similar objects, and do not necessarily describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0036] Embodiment 1

[0037] Figure 1 FIG. is a flowchart of an environmental performance configuration method provided in Embodiment 1 of the present invention. This embodiment is applicable to configuring the environmental performance of producers according to performance weights and production weights. This method can be executed by the environmental performance configuration device in any embodiment of the present invention. The environmental performance configuration device can be implemented in the form of hardware and / or software, and the environmental performance configuration device can be configured in an electronic device, such as Figure 1 As shown, the method includes:

[0038] S101. Obtain a matching performance weight according to the environmental performance interval where the current environmental performance of the target producer is located.

[0039] Environmental performance refers to the measurable environmental management system effectiveness obtained by controlling its environmental factors based on environmental objectives; in the embodiments of the present invention, environmental performance can be measured by the volume of waste generated during the commodity production process; among them, waste refers to an item that has lost its original use value or has not lost its use value but is discarded, and the waste used to evaluate environmental performance can include general solid waste, hazardous waste, gaseous waste and liquid waste (for example, wastewater); gaseous waste can specifically include volatile organic compounds (VOC) and nitrogen oxides (NOX).

[0040] For a production organization, it is usually composed of multiple sub-organizations (i.e., producers). The commodity production quantities of each producer are often different, and the commodity production quantities of the same producer at different production times may also be different. Generally, the more commodities are produced, the more waste is generated. Therefore, using the total amount of waste cannot accurately evaluate the improvement degree of the environmental performance of producers. At this time, the environmental performance can be expressed by the amount of waste generated per unit quantity of commodities produced, so as to evaluate the improvement degree of the environmental performance of producers.

[0041] Taking a production vehicle as an example, the environmental performance can be evaluated by the amount of waste generated per single vehicle produced (i.e., the waste amount per vehicle), and the degree of the producer's environmental performance can be evaluated. The lower the value, the smaller the negative impact on the environment and the higher the environmental quality; the higher the value, the greater the negative impact on the environment and the worse the environmental quality. In particular, as described in the above technical solution, since there are many types of waste and the quantity of each type of waste generated during commodity production is also different, for different types of waste, the environmental performance of different types of waste is obtained respectively, and the numerical ranges of the environmental performance corresponding to different types of waste are also different.

[0042] The environmental performance range of each type of waste can be pre-configured according to empirical values. Different numerical ranges correspond to different performance weights. The larger the upper threshold or lower threshold of the numerical range where the environmental performance is located, the greater the negative impact of the producer on the environment, and it also indicates that the producer's own environmental protection process is relatively poor and there is a large room for process improvement. Therefore, it corresponds to a smaller performance weight, which means that the environmental performance of the producer needs to be strictly required to minimize it. Similarly, the smaller the upper threshold or lower threshold of the numerical range where the environmental performance is located, the smaller the negative impact of the producer on the environment, and it also indicates that the producer's own environmental protection process is better and the room for process improvement is smaller. Therefore, it corresponds to a larger performance weight, which means that the requirements for the producer's environmental performance can be appropriately relaxed.

[0043] Optionally, in the embodiment of the present invention, before obtaining the matching performance weight according to the environmental performance range where the current environmental performance of the target producer is located, it further includes: obtaining the average environmental performance of all producers, the first optimal environmental performance among all producers, and the second optimal environmental performance of the industry to which the producer belongs; constructing different environmental performance ranges according to the average environmental performance, the first optimal environmental performance, and the second optimal environmental performance.

[0044] Specifically, the average environmental performance of all producers and the optimal environmental performance among all producers (i.e., the first optimal environmental performance) can be obtained according to the historical environmental performance of each producer; at the same time, according to the environmental performance of the industry to which it belongs (for example, the vehicle manufacturing industry) stored in the database, the environmental performance with the smallest value (i.e., the second optimal environmental performance) is obtained; since the values of the average environmental performance, the first optimal environmental performance, and the second optimal environmental performance decrease in sequence, different environmental performance ranges can be constructed according to the above values.

[0045] For example, taking the average environmental performance, the first optimal environmental performance, and the second optimal environmental performance as three interval thresholds respectively, four environmental performance intervals are obtained, namely, the first interval greater than the average environmental performance, the second interval less than or equal to the average environmental performance and greater than the first optimal environmental performance, the third interval less than or equal to the first optimal environmental performance and greater than the second optimal environmental performance, and the fourth interval less than the second optimal environmental performance.

[0046] Also, for example, based on the average environmental performance (X), the first optimal environmental performance (Y), and the second optimal environmental performance (Z), X+(X - Y), X+(X - Y) / 2, and X-(X - Y) / 2 can be calculated respectively; then, X+(X - Y), X+(X - Y) / 2, X, X-(X - Y) / 2, Y, and Z are used as interval thresholds respectively; where X+(X - Y) represents the sum of the difference between the average environmental performance and the first optimal environmental performance and the average environmental performance; X+(X - Y) / 2 represents the sum of half of the difference between the average environmental performance and the first optimal environmental performance and the average environmental performance; X-(X - Y) / 2 represents the result of subtracting half of the difference between the average environmental performance and the first optimal environmental performance from the average environmental performance.

[0047] Seven environmental performance intervals are obtained therefrom, namely, the first interval greater than X+(X - Y), the second interval less than or equal to X+(X - Y) and greater than X+(X - Y) / 2, the third interval less than or equal to X+(X - Y) / 2 and greater than X, the fourth interval less than or equal to X and greater than X-(X - Y) / 2, the fifth interval less than or equal to X-(X - Y) / 2 and greater than Y, the sixth interval less than or equal to Y and greater than Z, and the seventh interval less than or equal to Z. Based on this, according to the average environmental performance and the first optimal environmental performance of each producer, as well as the second optimal environmental performance of the industry to which the producer belongs, a reasonable division of the environmental performance intervals is realized, ensuring the accurate acquisition of the performance weights and improving the accuracy of the environmental performance allocation results.

[0048] S102. Obtain a matching production weight according to the current production volume and the target production volume of the target producer; wherein, the production weight has a negative correlation with the production volume difference between the target production volume and the current production volume.

[0049] The current production volume refers to the commodity production volume of the producer in the current statistical period, and the target production volume refers to the commodity production volume of the producer in the future statistical period; taking one year as the statistical period and vehicles as the product as an example, the current production volume refers to the vehicle production volume in the current year, and the target production volume refers to the vehicle production volume in the next year; for a production line, a certain number of waste products will be generated during the operation of the production machine itself. Therefore, although the number of waste products generated will increase with the increase in the commodity production quantity, it does not increase in proportion.

[0050] With the increase in the production volume of this product, although the number of defective products will increase slightly, in terms of the environmental performance statistics of the number of defective products generated per unit quantity of products produced, the increase in production volume will lead to a decrease in environmental performance, and the decrease in production volume will lead to an increase in environmental performance. However, the above changes in environmental performance are not due to the improvement of the production process, but only due to the change in the production plan, and it cannot truly reflect whether its environmental protection level has been improved.

[0051] Therefore, according to the production volume difference between the target production volume and the current production volume, obtain the matching performance weight; among them, the greater the absolute value of the above production volume difference, the greater the influence on the value of the performance weight; if the production volume difference is a positive number, it means that the producer will increase the production volume in the future, and the value of the corresponding performance weight will decrease (for example, from 1 to less than 1); if the production volume difference is a negative number, it means that the producer will reduce the production volume in the future, and the value of the corresponding performance weight will increase (for example, from 1 to greater than 1); if the production volume difference is 0, it means that the producer keeps the production volume unchanged, and the value of the corresponding performance weight also remains unchanged (for example, continues to remain 1).

[0052] Optionally, in the embodiment of the present invention, the obtaining the matching production volume weight according to the current production volume and the target production volume of the target producer further includes: obtaining the production volume difference between the target production volume and the current production volume, and taking the ratio of the production volume difference to the current production volume as the target production volume change range; obtaining the matching production volume weight according to the target production volume change range.

[0053] Specifically, as described in the above technical solution, the performance weight is related not only to the production volume difference but also to the current production volume. If the current production volume itself has a large value, even if the value of the production volume difference is large, the actual influence on the performance weight may be small. If the current production volume itself has a small value, even if the value of the production volume difference is small, the actual influence on the performance weight may also be large. For example, the production volume of producer A increases from 1000 units to 2000 units, and the production volume of producer B increases from 10000 units to 11000 units. Although the production volume differences of the two are the same, obviously the former has a greater impact on the environmental performance, and the latter has a smaller impact on the environmental performance.

[0054] Accordingly, take the ratio of the production volume difference to the current production volume as the target production volume change range. Similarly, the greater the absolute value of the target production volume change range, the greater the influence on the value of the performance weight; if the target production volume change range is a positive number, the value of the corresponding performance weight will decrease; if the target production volume change range is a negative number, the value of the corresponding performance weight will increase; if the target production volume change range is 0, the corresponding performance weight remains unchanged; and in the case of the same production volume difference, the lower the current production volume, the greater the change in the performance weight, thereby greatly improving the accuracy of the calculation result of the performance weight.

[0055] S103. Configure the target environmental performance of the target producer according to the current environmental performance of the target producer, the performance optimization range, the performance weight, and the output weight.

[0056] The performance optimization range refers to the ratio of the planned reduction in environmental performance to the current environmental performance of the target producer in the next statistical period. For example, when the environmental performance is represented by the amount of waste generated per unit quantity of goods produced, if the current environmental performance is 10 and the expected environmental performance is 9.5, then the performance optimization range is 5%. The performance optimization range reflects the overall optimization range of the production organization. The current environmental performance, performance weight, and output weight are positively correlated with the target environmental performance. The performance optimization range is negatively correlated with the target environmental performance. The specific calculation of the target environmental performance of the target producer is obtained through the following equation:

[0057] M = N * (1 - K) * α * β (Formula 1);

[0058] Where M is the target environmental performance; N is the current environmental performance; K is the performance optimization range; α is the performance weight; β is the output weight.

[0059] Specifically, the target environmental performance of the target producer can also be obtained through the following equation:

[0060] M = N * (1 - Kα) * β (Formula 2);

[0061] Where, since a negative sign is added to the front of the performance weight α, the change logic of the performance weight should be opposite to the above technical solution, that is, the larger the upper threshold or lower threshold of the numerical range where the current environmental performance is located, the larger the corresponding performance weight, so that the value of the performance weight after adding the negative sign processing can be smaller; the smaller the upper threshold or lower threshold of the numerical range where the current environmental performance is located, the smaller the corresponding performance weight, so that the value of the performance weight after adding the negative sign processing can be larger. Similarly, due to the existence of the negative sign at the front, the performance weight is negatively correlated with the target environmental performance at this time.

[0062] Optionally, in the embodiment of the present invention, the environmental performance configuration method further includes: obtaining a matching production weight according to the production shutdown time of the target producer; and configuring the target environmental performance of the target producer according to the current environmental performance of the target producer, the performance optimization range, the performance weight, the output weight, and the production weight includes: configuring the target environmental performance of the target producer according to the current environmental performance of the target producer, the performance optimization range, the performance weight, the output weight, and the production weight.

[0063] Specifically, due to production failures on the production line or continuous adjustments to production policies, there may be certain downtime on the production line. During the downtime, since the production line is not operating, it is necessary to increase the production efficiency of goods at other times to ensure that the production volume of goods meets the expected requirements. As described in the above technical solution, due to the existence of waste generated by the production line itself, centralized production of goods will actually reduce the environmental performance to a certain extent, but this also does not reflect an improvement in the producer's environmental protection process. Therefore, it is also necessary to obtain a matching production weight based on the production downtime.

[0064] Under normal circumstances, the production weight can be set to 0; as the production downtime gradually increases, the production weight gradually decreases, and the target environmental performance is further reduced; taking the above formula one as an example, it can be modified into the following equation; where γ is the production weight.

[0065] M = N*(1 - K)*α*β + γ (Formula Three);

[0066] Taking the above formula two as an example, it can be modified into the following equation:

[0067] M = N*(1 - Kα)*β + γ (Formula Four);

[0068] Accordingly, first obtain a matching production weight based on the production downtime of the target producer; then configure the target environmental performance of the target producer according to the current environmental performance, performance optimization range, performance weight, production volume weight, and production weight of the target producer, realizing the calculation and acquisition of the influence degree of production downtime on environmental performance, and further improving the accuracy of the configuration result of the target environmental performance of the target producer.

[0069] The technical solution of the embodiment of the present invention obtains a matching performance weight according to the environmental performance interval where the current environmental performance of the target producer is located; obtains a matching production volume weight according to the current production volume and target production volume of the target producer; configures the target environmental performance of the target producer according to the current environmental performance, performance optimization range, performance weight, and production volume weight of the target producer. Thus, not only the calculation and acquisition of the target environmental performance of the producer are realized, improving the performance calculation efficiency, but also the personalized configuration generation of the target environmental performance is realized in combination with the actual production situation and the environmental performance differences between different producers, greatly improving the accuracy of the performance calculation result.

[0070] Embodiment Two

[0071] Figure 2 The following is a flowchart of an environmental performance configuration method provided by the second embodiment of the present invention. The relationship between this embodiment and the above embodiment is that the production volume weight is obtained based on the associated change curve, as Figure 2 shown, and the method includes:

[0072] S201. Obtain a matching performance weight according to the environmental performance interval where the current environmental performance of the target producer is located.

[0073] S202. Obtain the output difference between the target output and the current output, and use the ratio of the output difference to the current output as the target output variation range.

[0074] S203. Obtain the associated change curve between the output variation range and the environmental performance variation range according to the historical production records; wherein, the associated change curve is an inverse quadratic curve.

[0075] The output variation range will affect the environmental performance variation range. For example, when the output variation range increases by 10%, the environmental performance variation range may decrease by 1%; when the output variation range increases by 20%, the environmental performance variation range may decrease by 1.8%; according to the historical production records, obtain the environmental performance variation range under different output variation ranges, and then obtain the completed associated change curve through fitting; as Figure 3 shown, the associated change curve between the output variation range and the environmental performance variation range is an inverse quadratic curve.

[0076] The output variation range and the environmental performance variation range show a negative correlation, that is, the larger the value of the output variation range, the larger the environmental performance variation range; the smaller the value of the output variation range, the smaller the environmental performance variation range; and under the same output variation range, the environmental performance variation range gradually becomes smaller. For example Figure 3 in, when the output variation range is 0.5%, the environmental performance variation range is 0.2%; when the output variation range increases by another 0.5%, that is, when the environmental performance variation range is 1%, the environmental performance variation range is 0.35%; when the output variation range increases by another 0.5%, that is, when the environmental performance variation range is 1.5%, the environmental performance variation range is 0.42%.

[0077] S204. Obtain the target environmental performance variation range according to the target output variation range and the associated change curve, and obtain the matching output weight according to the target environmental performance variation range.

[0078] Based on the associated change curve, the matching target environmental performance variation range can be obtained according to the target output variation range, and the sum of the target environmental performance variation range and the output weight is 1. The matching output weight can be calculated according to the target environmental performance variation range; taking the above technical solution as an example, when the output variation range increases by 10%, the environmental performance variation range will decrease by 1%, and the corresponding output weight changes to 99%, that is, 0.99.

[0079] S205. Configure the target environmental performance of the target producer according to the current environmental performance, performance optimization variation range, the performance weight and the output weight of the target producer.

[0080] In the technical solution of the embodiment of the present invention, after obtaining the yield difference between the target yield and the current yield, and taking the ratio of the yield difference to the current yield as the target yield variation, according to the historical production records, an associated change curve between the yield variation and the environmental performance variation is obtained; finally, according to the target yield variation and the associated change curve, the target environmental performance variation is obtained, and the matching yield weight is obtained according to the target environmental performance variation. Thus, based on the numerical change relationship between the yield variation and the environmental performance variation, the matching yield weight is obtained, improving the accuracy of the obtained yield weight.

[0081] Embodiment III

[0082] Figure 4 FIG. is a flowchart of an environmental performance configuration method provided by Embodiment III of the present invention. The relationship between this embodiment and the above embodiment is that according to the yield variation interval to which the target yield variation belongs, calculation coefficients required for obtaining the yield weight are obtained. As Figure 4 shown, the method includes:

[0083] S301. Obtain a matching performance weight according to the environmental performance interval where the current environmental performance of the target producer is located.

[0084] S302. Obtain the yield difference between the target yield and the current yield, and take the ratio of the yield difference to the current yield as the target yield variation.

[0085] S303. Obtain a matching first calculation coefficient, second calculation coefficient, and third calculation coefficient according to the yield variation interval to which the target yield variation belongs; wherein, the first calculation coefficient is related to the maximum environmental performance variation of the previous yield variation interval; the second calculation coefficient is related to the maximum yield variation of the previous yield variation interval; the third calculation coefficient is a preset variation coefficient.

[0086] As described in the above technical solution, the influence degrees of different yield variations on the environmental performance variation are different. The maximum value of the environmental performance variation corresponding to the yield variation within a yield variation interval is the maximum environmental performance variation, and the maximum value corresponding to the yield variation within a yield variation interval is the maximum yield variation; since on the premise of the same yield variation, as the value of the yield variation continuously increases, the influence degree on the environmental performance variation also decreases, the preset variation coefficient continuously decreases as the yield variation interval continuously increases.

[0087] Taking the five output variation range intervals divided in Table 1 as an example, the five intervals with gradually increasing interval values are |δ ≤ 5%, 5% < δ ≤ 10%, 10% < δ ≤ 20%, 20% < δ ≤ 30% and 30% < δ ≤ 50%; where δ represents the output variation; δ is a positive number indicating an increase in output; δ is a negative number indicating a decrease in output; β represents the output weight, β = 1 - ω; ω represents the environmental performance variation; specifically, when δ is a negative number, negative signs need to be adaptively added to both the first calculation coefficient and the second calculation coefficient; when δ is a positive number, the first calculation coefficient and the second calculation coefficient remain positive. The greater the impact of the output variation on the environmental optimization performance, that is, the greater the environmental performance variation, the smaller the output weight; the smaller the impact of the output variation on the environmental optimization performance, that is, the smaller the environmental performance variation, the greater the output weight.

[0088] When the output variation δ changes slightly, that is, when |δ ≤ 5%, it is considered that its impact on the environmental optimization performance is small, and its impact on the output weight is also small and can be ignored. At this time, the output weight remains unchanged at 1, and correspondingly ω = 0; when 5% < δ ≤ 10%, it is also considered that its impact on the environmental optimization performance is small, and β = 1 - δ * 10% is configured, that is, ω = δ * 10%. At this time, 0.5% < |ω ≤ 1%; when δ > 10%, as described in the above technical solution, the first calculation coefficient, the second calculation coefficient, and the third calculation coefficient in different numerical intervals can be obtained respectively.

[0089] When 10% < δ ≤ 20%, the first calculation coefficient is the maximum environmental performance variation (1%) in the previous output variation interval (that is, 5% < δ ≤ 10%), the second calculation coefficient is the maximum output variation (10%) in the previous output variation interval (that is, the interval 5% < δ ≤ 10%), and the third calculation coefficient is configured as 5%; when 20% < δ ≤ 30%, the first calculation coefficient is the maximum environmental performance variation (1.5%) in the previous output variation interval (that is, 10% < δ ≤ 20%), the second calculation coefficient is the maximum output variation (20%) in the previous output variation interval (that is, the interval 10% < δ ≤ 20%), and the third calculation coefficient is configured as 2.5%.

[0090] When 30% < δ ≤ 50%, the first calculation coefficient is the maximum environmental performance variation (1.75%) in the previous output variation interval (that is, 20% < δ ≤ 30%), the second calculation coefficient is the maximum output variation (30%) in the previous output variation interval (that is, the interval 20% < δ ≤ 30%), and the third calculation coefficient is configured as 1.25%.

[0091] Table 1 Calculation method of output weight

[0092]

[0093]

[0094] S304. Obtain a matching production weight according to the target production variation range, the first calculation coefficient, the second calculation coefficient, and the third calculation coefficient.

[0095] As can be seen from Table 1, the matching production weight can be specifically calculated through the following equation:

[0096] β = 1 - ω = 1 - (a + (δ - b) * c) (Formula Five);

[0097] where β is the production weight; a, b, and c respectively represent the first calculation coefficient, the second calculation coefficient, and the third calculation coefficient.

[0098] S305. Configure the target environmental performance of the target producer according to the current environmental performance of the target producer, the performance optimization variation range, the performance weight, and the production weight.

[0099] In the technical solution of the embodiment of the present invention, after obtaining the production difference between the target production and the current production and using the ratio of the production difference to the current production as the target production variation range, according to the production variation range interval to which the target production variation range belongs, obtain the matching first calculation coefficient, second calculation coefficient, and third calculation coefficient; according to the target production variation range, the first calculation coefficient, the second calculation coefficient, and the third calculation coefficient, obtain the matching production weight. Thus, based on the production variation range interval to which the target production variation range belongs, a matching production weight is obtained, further improving the accuracy of the obtained production weight.

[0100] Embodiment Four

[0101] Figure 5 is a structural block diagram of an environmental performance configuration device provided in Embodiment Four of the present invention, specifically including:

[0102] A performance weight acquisition module 501, configured to obtain a matching performance weight according to the environmental performance interval where the current environmental performance of the target producer is located;

[0103] A production weight acquisition module 502, configured to obtain a matching production weight according to the current production and the target production of the target producer; wherein, the production weight has a negative correlation with the production difference between the target production and the current production;

[0104] A target environmental performance acquisition module 503, configured to configure the target environmental performance of the target producer according to the current environmental performance of the target producer, the performance optimization variation range, the performance weight, and the production weight.

[0105] In the technical solution of the embodiment of the present invention, according to the environmental performance interval where the current environmental performance of the target producer is located, a matching performance weight is obtained; according to the current output and the target output of the target producer, a matching output weight is obtained; according to the current environmental performance, the performance optimization variation, the performance weight, and the output weight of the target producer, the target environmental performance of the target producer is configured. Thereby, not only the calculation and acquisition of the target environmental performance of the producer are realized, the performance calculation efficiency is improved, but also combined with the actual production situation and the environmental performance differences among different producers, the configuration and generation of personalized target environmental performance are realized, greatly improving the accuracy of the performance calculation result.

[0106] Optionally, the environmental performance configuration device is further configured to obtain a matching production weight according to the production downtime of the target producer; and configure the target environmental performance of the target producer according to the current environmental performance, the performance optimization variation, the performance weight, the output weight, and the production weight of the target producer.

[0107] Optionally, the environmental performance configuration device is further configured to obtain the average environmental performance of all producers, the first optimal environmental performance among all producers, and the second optimal environmental performance of the industry to which the producer belongs; and construct different environmental performance intervals according to the average environmental performance, the first optimal environmental performance, and the second optimal environmental performance.

[0108] Optionally, the output weight acquisition module 502 is specifically configured to obtain the output difference between the target output and the current output, and use the ratio of the output difference to the current output as the target output variation; and obtain a matching output weight according to the target output variation.

[0109] Optionally, the output weight acquisition module 502 is further configured to obtain the associated change curve between the output variation and the environmental performance variation according to the historical production records; wherein, the associated change curve is a reverse quadratic curve; obtain the target environmental performance variation according to the target output variation and the associated change curve, and obtain a matching output weight according to the target environmental performance variation.

[0110] Optionally, the output weight acquisition module 502 is further configured to obtain a matching first calculation coefficient, second calculation coefficient, and third calculation coefficient according to the output variation interval to which the target output variation belongs; wherein, the first calculation coefficient is related to the maximum environmental performance variation of the previous output variation interval; the second calculation coefficient is related to the maximum output variation of the previous output variation interval; the third calculation coefficient is a preset variation coefficient; and obtain a matching output weight according to the target output variation, the first calculation coefficient, the second calculation coefficient, and the third calculation coefficient.

[0111] The above device can execute the environmental performance configuration method provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the method. For technical details not described in detail in this embodiment, reference can be made to the environmental performance configuration method provided by any embodiment of the present invention.

[0112] Embodiment 5

[0113] Figure 6 FIG. shows a schematic structural diagram of an electronic device 10 that can be used to implement the embodiments of the present invention. The electronic device is intended to represent various forms of digital computers, such as, laptop computers, desktop computers, workstations, personal digital assistants, electronic devices, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as, personal digital assistants, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0114] As Figure 6 shown, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc. The memory stores a computer program executable by the at least one processor. The processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 into the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. The input / output (I / O) interface 15 is also connected to the bus 14.

[0115] Multiple components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a magnetic disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0116] The processor 11 may be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the environmental performance configuration method.

[0117] In some embodiments, the environmental performance configuration method may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as a storage unit. In some embodiments, part or all of the computer program may be loaded and / or installed onto the heterogeneous hardware accelerator via the ROM and / or the communication unit. When the computer program is loaded into the RAM and executed by the processor, one or more steps of the environmental performance configuration method described above may be performed. Alternatively, in other embodiments, the processor may be configured to execute the environmental performance configuration method by any other suitable means (e.g., by means of firmware).

[0118] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuitry, integrated circuit systems, field-programmable gate arrays (FPGA), application-specific integrated circuits (ASIC), application-specific standard products (ASSP), system-on-a-chip (SOC), complex programmable logic devices (CPLD), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include: implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a dedicated or general-purpose programmable processor, and can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit the data and instructions to the storage system, the at least one input device, and the at least one output device.

[0119] The computer program for implementing the method of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to the processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when the computer program is executed by the processor, the functions / operations specified in the flowchart and / or block diagram are implemented. The computer program can be executed entirely on the machine, partially on the machine, as a stand-alone software package partially on the machine and partially on a remote machine, or entirely on a remote machine or electronic device.

[0120] In the context of the present invention, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer-readable storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0121] To provide for interaction with a user, the systems and techniques described herein can be implemented on a heterogeneous hardware accelerator that has: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the heterogeneous hardware accelerator. Other kinds of devices can also be used to provide for interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, speech input, or tactile input).

[0122] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data electronic device), or a computing system that includes middleware components (e.g., an application electronic device), or a computing system that includes front-end components (e.g., a user computer having a graphical user interface or a web browser through which the user can interact with an implementation of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0123] A computing system may include a client and an electronic device. The client and the electronic device are generally far from each other and usually interact via a communication network. The relationship between the client and the electronic device is generated by computer programs running on respective computers and having a client-electronic device relationship with each other. The electronic device may be a cloud electronic device, also known as a cloud computing electronic device or a cloud host, which is a host product in a cloud computing service system, solving the defects of difficult management and weak business scalability existing in traditional physical hosts and VPS services.

[0124] It should be understood that various forms of processes shown above can be used, steps can be reordered, added or deleted. For example, the steps recited in the present invention can be executed in parallel, sequentially or in a different order, as long as the desired results of the technical solution of the present invention can be achieved, and no limitation is made herein.

[0125] The above specific embodiments do not constitute a limitation on the protection scope of the present invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. An environmental performance configuration method, characterized in that: include: Obtain matching performance weights based on the environmental performance range of the target producer’s current environmental performance; According to the current output and the target output of the target producer, a matching output weight is obtained; wherein the output weight is negatively correlated with the output difference between the target output and the current output; The target environmental performance of the target producer is configured according to the current environmental performance of the target producer, the performance optimization variation, the performance weight and the output weight.

2. The method according to claim 1, characterized in that The environmental performance configuration method further includes: According to the production downtime of the target producer, a matching production weight is obtained; The configuring the target environmental performance of the target producer according to the current environmental performance of the target producer, the performance optimization variation, the performance weight and the output weight includes: The target environmental performance of the target producer is configured according to the current environmental performance of the target producer, the performance optimization variation, the performance weight, the output weight and the production weight.

3. The method according to claim 1, characterized in that Before obtaining the matching performance weight according to the environmental performance interval of the target producer's current environmental performance, it also includes: Obtaining the average environmental performance of all producers, as well as the first best environmental performance among all producers, and the second best environmental performance of the industry to which the producer belongs; Different environmental performance intervals are constructed according to the average environmental performance, the first optimal environmental performance and the second optimal environmental performance.

4. The method according to claim 1, characterized in that: The step of obtaining a matching output weight according to the current output and the target output of the target producer further includes: Obtaining the output difference between the target output and the current output, and taking the ratio of the output difference to the current output as the target output variation; A matching production weight is obtained according to the target production range.

5. The method according to claim 4, characterized in that The step of obtaining a matching production weight according to the target production range includes: According to historical production records, a correlation change curve between the output variation and the environmental performance variation is obtained; wherein the correlation change curve is a reverse quadratic curve; According to the target yield variation and the associated change curve, the target environmental performance variation is obtained, and the matching yield weight is obtained according to the target environmental performance variation.

6. The method according to claim 4, characterized in that The step of obtaining a matching production weight according to the target production range includes: According to the production range to which the target production range belongs, a first calculation coefficient, a second calculation coefficient and a third calculation coefficient are obtained; wherein the first calculation coefficient is related to the maximum environmental performance range of the previous production range; the second calculation coefficient is related to the maximum production range of the previous production range; and the third calculation coefficient is a preset range coefficient; A matching production weight is obtained according to the target production variation, the first calculation coefficient, the second calculation coefficient and the third calculation coefficient.

7. An environmental performance configuration device, characterized in that: include: The performance weight acquisition module is used to obtain the matching performance weight according to the environmental performance interval of the target producer's current environmental performance; A production weight acquisition module, used to acquire a matching production weight according to the current production and target production of the target producer; wherein the production weight is negatively correlated with the production difference between the target production and the current production; The target environmental performance acquisition module is used to configure the target environmental performance of the target producer according to the current environmental performance of the target producer, the performance optimization variation, the performance weight and the output weight.

8. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the environmental performance configuration method described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the environmental performance configuration method described in any one of claims 1 to 6 when executed.

10. According to another aspect of the present invention, there is provided a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the environmental performance configuration method according to any one of claims 1 to 6 is implemented.

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