CN115829337A - Storage area risk early warning method and system - Google Patents
Storage area risk early warning method and system Download PDFInfo
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Abstract
The invention relates to the technical field of storage area supervision, and particularly discloses a storage area risk early warning method and a storage area risk early warning system, wherein the method comprises the steps of receiving storage object parameters input by a user, and determining a safety threshold according to the storage object parameters; acquiring safety parameters in real time, comparing the safety parameters with the safety threshold value, and generating early warning information according to the comparison result; collecting a storage object image containing time information at regular time, identifying the storage object image containing the time information, and calculating a safety controllable value; when the safety controllable value is within a preset controllable range, generating a safety regulation instruction; and generating warning information when the safety controllable value exceeds a preset controllable range. The invention determines the safety condition according to the storage material parameters input by the user, then obtains the characteristics of the storage material in real time, and automatically reviews the characteristics according to the safety condition, so that the labor cost is extremely low.
Description
Technical Field
The invention relates to the technical field of storage area supervision, in particular to a storage area risk early warning method and a storage area risk early warning system.
Background
With the progress of society and the development of science and technology, production activities are more frequent, the storage links of raw materials cannot be left in the production activities, and the storage quality of the raw materials influences the quality of final products, so that actual management and control of storage areas are needed.
However, most of the existing storage area management and control modes depend on manual work, and workers finish raw material detection and equipment adjustment work, so that the labor cost of the work is high, the work is extremely boring, and the workers are likely to have work errors due to fatigue; therefore, how to improve the intelligent level of the management and control work and reduce the labor cost is a technical problem to be solved by the technical scheme of the invention.
Disclosure of Invention
The invention aims to provide a storage area risk early warning method and a storage area risk early warning system, which are used for solving the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
a storage area risk pre-warning method, the method comprising:
receiving a storage material parameter input by a user, and determining a safety threshold according to the storage material parameter; wherein the storage material parameters comprise storage material positions and storage material types;
acquiring a safety parameter in real time, comparing the safety parameter with the safety threshold value, and generating early warning information according to a comparison result;
collecting a storage object image containing time information at regular time, identifying the storage object image containing the time information, and calculating a safety controllable value;
when the safety controllable value is within a preset controllable range, generating a safety regulation instruction; and generating warning information when the safety controllable value exceeds a preset controllable range.
As a further scheme of the invention: the step of receiving a storage material parameter input by a user and determining a safety threshold according to the storage material parameter comprises the following steps:
receiving storage object types input by a user and storage areas of the storage object types;
inquiring the safety threshold value of each storage area in a preset threshold value table according to the type of the storage object;
and counting the safety threshold values of all the storage areas to obtain a threshold value distribution graph.
As a further scheme of the invention: the steps of acquiring the safety parameters in real time, comparing the safety parameters with the safety threshold value, and generating early warning information according to the comparison result comprise:
monitoring the current data of each electrical appliance in real time, and generating a current array with the name of the electrical appliance as an index;
generating a fluctuating image according to the current array indexed by the name of the appliance; wherein, the fluctuation image contains a plurality of fluctuation curves which take the name of an electric appliance as a label;
intercepting points on each fluctuation curve according to a preset step length to obtain sampling points;
calculating the deviation rate of adjacent sampling points to generate a deviation array;
and comparing the deviation array with the safety threshold value, and determining early warning information according to a comparison result.
As a further scheme of the invention: the steps of obtaining the safety parameters in real time, comparing the safety parameters with the safety threshold value, and generating the early warning information according to the comparison result further include:
acquiring a safety image containing a detection range in real time, and splicing the safety image according to the detection range; the detection range is represented by a relative position;
inputting the spliced environment image into a preset image recognition model, and determining the number of the storage objects and the color value abnormality degree of the storage objects; the color value abnormality degree of the storage object is used for representing the difference between the actual color value and the preset reference color value;
and generating early warning information according to the quantity of the stored objects and the color value abnormality degree of the stored objects.
As a further scheme of the invention: the method comprises the steps of collecting storage object images containing time information at regular time, identifying the storage object images containing the time information, and calculating a safety controllable value, wherein the steps comprise:
acquiring a storage object image containing time information at regular time, and inquiring equipment operation parameters according to the time information;
inputting the storage object image into a preset conversion model to obtain a characteristic value corresponding to the storage object image;
generating a coordinate point according to the inquired equipment operation parameter and the characteristic value;
randomly selecting a preset number of coordinate points, fitting to obtain an influence function, and verifying the coordinate points according to the influence function obtained by fitting;
and circularly executing and recording the number of the influence functions, and determining the safety controllable value according to the number.
As a further scheme of the invention: the number of the influence functions is executed and recorded circularly, and the step of determining the safety controllable value according to the number comprises the following steps:
calculating derivative characteristics of preset orders of different influence functions, and judging the difference between the influence functions according to the derivative characteristics;
when the difference degree between one influence function and other influence functions reaches a preset difference degree threshold value, marking the influence function as a target function;
and determining a safe controllable value according to the quantity of the objective functions and the derivative characteristics thereof.
The technical scheme of the invention also provides a storage area risk early warning system, which comprises:
the safety threshold value determining module is used for receiving the storage material parameters input by a user and determining a safety threshold value according to the storage material parameters; wherein the storage material parameters comprise storage material positions and storage material types;
the early warning information generation module is used for acquiring a safety parameter in real time, comparing the safety parameter with the safety threshold value and generating early warning information according to a comparison result;
the controllable value calculation module is used for acquiring the storage object image containing the time information at regular time, identifying the storage object image containing the time information and calculating a safe controllable value;
the adjusting instruction generating module is used for generating a safety adjusting instruction when the safety controllable value is within a preset controllable range; and generating warning information when the safety controllable value exceeds a preset controllable range.
As a further scheme of the invention: the safety threshold determination module comprises:
the data receiving unit is used for receiving the storage object types input by a user and the storage areas of the storage object types;
the threshold query unit is used for querying the safety threshold of each storage area in a preset threshold table according to the type of the storage object;
and the data statistical unit is used for counting the safety threshold values of all the storage areas to obtain a threshold value distribution graph.
As a further scheme of the invention: the early warning information generation module comprises:
the current array generating unit is used for monitoring the current data of each electric appliance in real time and generating a current array with the name of the electric appliance as an index;
the fluctuating image generating unit is used for generating fluctuating images according to the current array indexed by the appliance name; wherein, the fluctuation image contains a plurality of fluctuation curves which take the name of an electric appliance as a label;
the sampling point acquisition unit is used for intercepting points on each fluctuation curve according to a preset step length to obtain sampling points;
the deviation rate calculating unit is used for calculating the deviation rate of adjacent sampling points and generating a deviation array;
and the comparison execution unit is used for comparing the deviation array with the safety threshold value and determining early warning information according to a comparison result.
As a further scheme of the invention: the controllable value calculation module includes:
the operation parameter acquisition unit is used for acquiring the storage object image containing the time information at regular time and inquiring the operation parameters of the equipment according to the time information;
the characteristic value determining unit is used for inputting the storage object image into a preset conversion model to obtain a characteristic value corresponding to the storage object image;
the coordinate point generating unit is used for generating a coordinate point according to the inquired equipment operating parameter and the characteristic value;
the fitting verification unit is used for randomly selecting a preset number of coordinate points, obtaining an influence function through fitting, and verifying the coordinate points according to the influence function obtained through fitting;
and the circular execution unit is used for circularly executing and recording the number of the influence functions, and determining the safe controllable value according to the number.
Compared with the prior art, the invention has the beneficial effects that: according to the method, the safety condition is determined according to the parameters of the storage object input by the user, then the characteristics of the storage object are obtained in real time, the characteristics are automatically commented according to the safety condition, and the labor cost is extremely low; on the basis, the accuracy of the monitoring process is judged in real time according to the operating parameters and the characteristics of the safety regulating equipment, and the robustness of the system is greatly improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 is a flow chart of a storage area risk early warning method.
Fig. 2 is a first sub-flow block diagram of a storage area risk early warning method.
Fig. 3 is a second sub-flow block diagram of a storage area risk warning method.
Fig. 4 is a third sub-flow block diagram of a storage area risk early warning method.
Fig. 5 is a block diagram showing a configuration of a storage area risk early warning system.
Detailed description of the preferred embodiments
In order to make the technical problems, technical solutions and advantageous effects of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Example 1
Fig. 1 is a flow chart of a storage area risk early warning method, in an embodiment of the present invention, the storage area risk early warning method includes:
step S100: receiving a storage material parameter input by a user, and determining a safety threshold according to the storage material parameter; wherein the storage material parameters comprise storage material positions and storage material types;
the storage area has the function of storing preset stored objects, the safety requirements of different objects to be stored are different, and the safety requirements, namely the safety threshold value, can be determined according to the characteristics of the stored objects. The characteristics of the stored object are determined by the position of the stored object and the type of the stored object.
Step S200: acquiring safety parameters in real time, comparing the safety parameters with the safety threshold value, and generating early warning information according to the comparison result;
the method comprises the steps of acquiring safety parameters in real time, comparing the safety parameters with the determined safety requirements, judging which state a storage object is in, and generating early warning information according to which state the storage object is in;
step S300: the method comprises the steps of collecting storage object images containing time information at regular time, identifying the storage object images containing the time information, and calculating a safety controllable value;
the basis of the technical scheme of the invention for generating the early warning information is that when the safety changes, the stored object changes and the change is in a state capable of being monitored; therefore, the information of the storage object containing the time information needs to be collected at regular time, the safety parameter at each moment is inquired according to the time information, the information of the storage object is identified and judged according to the safety parameter, whether the corresponding relation exists between the safety and the storage object is further determined, and a numerical value is generated according to the existence of the corresponding relation, namely the safety controllable value.
Step S400: when the safety controllable value is within a preset controllable range, generating a safety regulation instruction; when the safety controllable value exceeds a preset controllable range, warning information is generated;
when the safety controllable value is within the preset controllable range, the execution system of the technical scheme of the invention is in a normal operation state, so that a safety regulation instruction can be further generated; if the safety controllable value exceeds the preset controllable range, the execution system of the technical scheme is in an abnormal state, and at the moment, warning information is generated for informing workers to detect the execution system of the whole scheme.
Fig. 2 is a first sub-flow block diagram of a storage area risk early warning method, where the step of receiving a storage parameter input by a user and determining a safety threshold according to the storage parameter includes:
step S101: receiving storage object types input by a user and storage areas of the storage object types;
the type of the stored object and the storage area corresponding to each stored object are input by a user, and the type of the stored object is generally a name; the storage area is generally a range such as a constant temperature area, a cold storage area, and the like.
Step S102: inquiring the safety threshold value of each storage area in a preset threshold value table according to the type of the storage object;
the safety threshold values of different storage materials in different storage areas are different, for example, the cold storage temperature influences frostbite when the fruits are in a cold storage state, and the temperature influences the deterioration degree when the fruits are in a normal temperature state, so that the safety threshold values can be determined together according to the storage material type and the storage areas.
Step S103: counting the safety threshold values of all the storage areas to obtain a threshold value distribution graph;
and counting the safety threshold values of all the storage areas to obtain a threshold distribution graph.
It is worth mentioning that the data type of the safety threshold is not limited by the staff according to the circumstances, and represents a certain threshold.
Fig. 3 is a second sub-flow diagram of the storage area risk early warning method, where the steps of obtaining a security parameter in real time, comparing the security parameter with the security threshold, and generating early warning information according to the comparison result include:
step S201: monitoring the current data of each electrical appliance in real time, and generating a current array with the name of the electrical appliance as an index;
the electric appliances in the storage area are important parameters influencing safety, and current arrays corresponding to different electric appliance names can be obtained according to current data of the electric appliances.
Step S202: generating a fluctuating image according to the current array indexed by the name of the appliance; wherein, the fluctuation image contains a plurality of fluctuation curves which take the name of the electric appliance as a label;
a plurality of fluctuation curves can be generated according to each current array, and a plurality of fluctuation curves are counted in one coordinate axis, so that a fluctuation image can be obtained.
Step S203: intercepting points on each fluctuation curve according to a preset step length to obtain sampling points;
step S204: calculating the deviation rate of adjacent sampling points to generate a deviation array;
and sequentially selecting the fluctuation values in the fluctuation curve according to a preset time interval, and calculating the deviation ratio between adjacent fluctuation values to obtain a deviation array.
Step S205: comparing the deviation array with the safety threshold value, and determining early warning information according to a comparison result;
and comparing the deviation array with the determined safety threshold value, and determining early warning information according to the comparison result.
As a preferred embodiment of the technical solution of the present invention, the step of obtaining the safety parameter in real time, comparing the safety parameter with the safety threshold, and generating the warning information according to the comparison result further includes:
acquiring an environment image containing a detection range in real time, and splicing the environment image according to the detection range; the detection range is represented by a relative position;
and acquiring an environment image in real time, and splicing the environment image according to the position corresponding to the environment image to obtain an integral image.
Inputting the spliced environment image into a preset image recognition model, and determining the number of the storage objects and the color value abnormality degree of the storage objects; the color value abnormality degree of the storage object is used for representing the difference between the actual color value and the preset reference color value;
and generating early warning information according to the quantity of the stored objects and the color value abnormality degree of the stored objects.
The spliced whole image is identified, the visual characteristics of the storage object and the like can be obtained, and the early warning information can be generated according to the visual characteristics of the storage object.
Fig. 4 is a third sub-flow block diagram of the storage area risk early warning method, where the storage object image containing time information is collected at regular time, and the storage object image containing time information is identified, and the step of calculating the environment controllable value includes:
step S301: acquiring a storage object image containing time information at regular time, and inquiring equipment operation parameters according to the time information;
the equipment operation parameters refer to operation parameters of safety regulation equipment (such as a fan), and the operation parameters can be recorded in real time in the operation process of the safety regulation equipment;
step S302: inputting the storage object image into a preset conversion model to obtain a characteristic value corresponding to the storage object image;
it is difficult to process the storage object image, and therefore, it is necessary to extract the features of the storage object image to obtain the feature values in a numerical form.
Step S303: generating a coordinate point according to the inquired equipment operation parameter and the characteristic value;
step S304: randomly selecting a preset number of coordinate points, fitting to obtain an influence function, and verifying the coordinate points according to the influence function obtained by fitting;
and generating a coordinate point according to the inquired equipment operation parameter and the characteristic value, and establishing the relation between the equipment operation parameter and the characteristic value by a description-fitting method.
Step S305: and circularly executing and recording the number of the influence functions, and determining the safety controllable value according to the number.
The smaller the number of the fitted influence functions, the clearer the correlation between the equipment operation parameters and the characteristic values (stored object images), and the higher the corresponding safety controllable values (the safer and more controllable).
As a preferred embodiment of the technical solution of the present invention, the step of circularly executing and recording the number of the impact functions, and determining the safety controllable value according to the number includes:
calculating derivative characteristics of preset orders of different influence functions, and judging the difference between the influence functions according to the derivative characteristics;
the identity judging step is used for judging whether the influence functions are the same function, and if the influence functions are the same function, redundant quantity is not accumulated.
When the difference degree between one influence function and other influence functions reaches a preset difference degree threshold value, marking the influence function as a target function;
and calculating the multi-order derivatives of the influence function, wherein the specific order is determined by the staff according to the situation, and whether the influence functions are the same is judged according to the multi-order derivatives, in other words, the influence functions are considered to be the same as the multi-order derivatives as long as the difference between the multi-order derivatives is within a preset range.
Determining a safe controllable value according to the quantity of the objective functions and the derivative characteristics thereof;
the number of objective functions is inversely proportional to the safety controllable value.
Example 2
Fig. 5 is a block diagram of a composition structure of a storage area risk early warning system, in an embodiment of the present invention, the system 10 includes:
the safety threshold value determining module 11 is used for receiving a storage material parameter input by a user and determining a safety threshold value according to the storage material parameter; wherein the storage material parameters comprise storage material positions and storage material types;
the early warning information generation module 12 is configured to obtain a safety parameter in real time, compare the safety parameter with the safety threshold, and generate early warning information according to a comparison result;
the controllable value calculation module 13 is used for acquiring the storage object image containing the time information at regular time, identifying the storage object image containing the time information and calculating a safe controllable value;
the adjusting instruction generating module 14 is configured to generate a safety adjusting instruction when the safety controllable value is within a preset controllable range; and generating warning information when the safety controllable value exceeds a preset controllable range.
The safety threshold determination module 11 includes:
the data receiving unit is used for receiving the storage object types input by a user and the storage areas of the storage object types;
the threshold query unit is used for querying the safety threshold of each storage area in a preset threshold table according to the type of the storage object;
and the data statistical unit is used for counting the safety threshold values of all the storage areas to obtain a threshold value distribution graph.
The warning information generation module 12 includes:
the current array generating unit is used for monitoring the current data of each electric appliance in real time and generating a current array with the name of the electric appliance as an index;
the fluctuating image generating unit is used for generating fluctuating images according to the current array indexed by the appliance name; wherein, the fluctuation image contains a plurality of fluctuation curves which take the name of the electric appliance as a label;
the sampling point acquisition unit is used for intercepting points on each fluctuation curve according to a preset step length to obtain sampling points;
the deviation rate calculating unit is used for calculating the deviation rate of adjacent sampling points and generating a deviation array;
and the comparison execution unit is used for comparing the deviation array with the safety threshold value and determining early warning information according to a comparison result.
The controllable value calculation module 13 includes:
the operation parameter acquisition unit is used for acquiring the storage object image containing the time information at regular time and inquiring the operation parameters of the equipment according to the time information;
the characteristic value determining unit is used for inputting the storage object image into a preset conversion model to obtain a characteristic value corresponding to the storage object image;
the coordinate point generating unit is used for generating a coordinate point according to the inquired equipment operating parameter and the characteristic value;
the fitting verification unit is used for randomly selecting a preset number of coordinate points, obtaining an influence function through fitting, and verifying the coordinate points according to the influence function obtained through fitting;
and the circular execution unit is used for circularly executing and recording the number of the influence functions, and determining the safe controllable value according to the number.
The functions which can be realized by the storage area risk early warning method are all completed by computer equipment, the computer equipment comprises one or more processors and one or more memories, at least one program code is stored in the one or more memories, and the program code is loaded and executed by the one or more processors to realize the functions of the storage area risk early warning method.
The processor fetches instructions and analyzes the instructions one by one from the memory, then completes corresponding operations according to the instruction requirements, generates a series of control commands, enables all parts of the computer to automatically, continuously and coordinately act to form an organic whole, realizes the input of programs, the input of data, the operation and the output of results, and the arithmetic operation or the logic operation generated in the process is completed by the arithmetic unit; the Memory comprises a Read-Only Memory (ROM) for storing a computer program, and a protection device is arranged outside the Memory.
Illustratively, a computer program can be partitioned into one or more modules, which are stored in memory and executed by a processor to implement the present invention. One or more of the modules may be a series of computer program instruction segments capable of performing certain functions, which are used to describe the execution of the computer program in the terminal device.
It will be appreciated by those skilled in the art that the above description of the serving device is merely an example and does not constitute a limitation of the terminal device, and may include more or less components than those described above, or some of the components may be combined, or different components may include, for example, input output devices, network access devices, buses, etc.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is the control center of the terminal equipment and connects the various parts of the entire user terminal using various interfaces and lines.
The memory may be used to store computer programs and/or modules, and the processor may implement various functions of the terminal device by operating or executing the computer programs and/or modules stored in the memory and calling data stored in the memory. The memory mainly comprises a storage program area and a storage data area, wherein the storage program area can store an operating system, application programs (such as an information acquisition template display function, a product information publishing function and the like) required by at least one function and the like; the storage data area may store data created according to the use of the berth-state display system (e.g., product information acquisition templates corresponding to different product types, product information that needs to be issued by different product providers, etc.), and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The terminal device integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the modules/units in the system according to the above embodiment may be implemented by a computer program, which may be stored in a computer-readable storage medium and used by a processor to implement the functions of the embodiments of the system. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer Memory, read-Only Memory (ROM), random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution media, and the like.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a component of' 8230; \8230;" does not exclude the presence of another like element in a process, method, article, or apparatus that comprises the element.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A storage area risk early warning method is characterized by comprising the following steps:
receiving a storage material parameter input by a user, and determining a safety threshold according to the storage material parameter; the storage object parameters comprise storage object positions and storage object types;
acquiring safety parameters in real time, comparing the safety parameters with the safety threshold value, and generating early warning information according to the comparison result;
the method comprises the steps of collecting storage object images containing time information at regular time, identifying the storage object images containing the time information, and calculating a safety controllable value;
when the safety controllable value is within a preset controllable range, generating a safety regulation instruction; and generating warning information when the safety controllable value exceeds a preset controllable range.
2. The storage area risk warning method of claim 1, wherein the step of receiving user-entered storage parameters and determining the security threshold based on the storage parameters comprises:
receiving storage object types input by a user and storage areas of the storage object types;
inquiring the safety threshold value of each storage area in a preset threshold value table according to the type of the storage object;
and counting the safety threshold values of all the storage areas to obtain a threshold value distribution graph.
3. The storage area risk early warning method according to claim 1, wherein the step of obtaining the security parameter in real time, comparing the security parameter with the security threshold, and generating early warning information according to the comparison result comprises:
monitoring the current data of each electrical appliance in real time, and generating a current array with the name of the electrical appliance as an index;
generating a fluctuating image according to the current array indexed by the name of the appliance; wherein, the fluctuation image contains a plurality of fluctuation curves which take the name of the electric appliance as a label;
intercepting points on each fluctuation curve according to a preset step length to obtain sampling points;
calculating the deviation rate of adjacent sampling points to generate a deviation array;
and comparing the deviation array with the safety threshold value, and determining early warning information according to a comparison result.
4. The storage area risk early warning method according to claim 3, wherein the step of obtaining the security parameter in real time, comparing the security parameter with the security threshold, and generating the early warning information according to the comparison result further comprises:
acquiring an environment image containing a detection range in real time, and splicing the environment image according to the detection range; the detection range is represented by a relative position;
inputting the spliced environment image into a preset image recognition model, and determining the number of the storage objects and the color value abnormality degree of the storage objects; the color value abnormality degree of the storage object is used for representing the difference between the actual color value and the preset reference color value;
and generating early warning information according to the quantity of the stored objects and the color value abnormality degree of the stored objects.
5. The storage area risk early warning method according to claim 1, wherein the step of collecting the storage object image containing the time information at regular time, identifying the storage object image containing the time information, and calculating the safety controllable value comprises the following steps:
acquiring a storage object image containing time information at regular time, and inquiring equipment operation parameters according to the time information;
inputting the storage object image into a preset conversion model to obtain a characteristic value corresponding to the storage object image;
generating a coordinate point according to the inquired equipment operation parameter and the characteristic value;
randomly selecting a preset number of coordinate points, fitting to obtain an influence function, and verifying the coordinate points according to the influence function obtained by fitting;
and circularly executing and recording the number of the influence functions, and determining the safety controllable value according to the number.
6. The storage area risk warning method according to claim 5, wherein the number of influencing functions is executed and recorded in a loop, and the step of determining the safety controllable value according to the number comprises:
calculating derivative characteristics of preset orders of different influence functions, and judging the difference between the influence functions according to the derivative characteristics;
when the difference degree of a certain influence function and other influence functions reaches a preset difference degree threshold value, marking the influence function as a target function;
and determining a safe controllable value according to the quantity of the objective functions and the derivative characteristics thereof.
7. A storage area risk early warning system, the system comprising:
the safety threshold value determining module is used for receiving the storage material parameters input by a user and determining a safety threshold value according to the storage material parameters; wherein the storage material parameters comprise storage material positions and storage material types;
the early warning information generation module is used for acquiring a safety parameter in real time, comparing the safety parameter with the safety threshold value and generating early warning information according to a comparison result;
the controllable value calculating module is used for collecting the storage object image containing the time information at regular time, identifying the storage object image containing the time information and calculating a safety controllable value;
the adjusting instruction generating module is used for generating a safety adjusting instruction when the safety controllable value is within a preset controllable range; and generating warning information when the safety controllable value exceeds a preset controllable range.
8. The storage area risk pre-warning system of claim 7, wherein the security threshold determination module comprises:
the data receiving unit is used for receiving the storage object types input by a user and the storage areas of the storage object types;
the threshold query unit is used for querying the safety threshold of each storage area in a preset threshold table according to the type of the storage object;
and the data statistical unit is used for counting the safety threshold values of all the storage areas to obtain a threshold value distribution graph.
9. The storage area risk early warning system of claim 7, wherein the early warning information generating module comprises:
the current array generating unit is used for monitoring the current data of each electric appliance in real time and generating a current array with the name of the electric appliance as an index;
the fluctuating image generating unit is used for generating fluctuating images according to the current array indexed by the appliance name; wherein, the fluctuation image contains a plurality of fluctuation curves which take the name of the electric appliance as a label;
the sampling point acquisition unit is used for intercepting points on each fluctuation curve according to a preset step length to obtain sampling points;
the deviation rate calculation unit is used for calculating the deviation rate of adjacent sampling points and generating a deviation array;
and the comparison execution unit is used for comparing the deviation array with the safety threshold value and determining early warning information according to a comparison result.
10. The storage area risk early warning system of claim 7, wherein the controllable value calculation module comprises:
the operation parameter acquisition unit is used for acquiring the storage object image containing the time information at regular time and inquiring the operation parameters of the equipment according to the time information;
the characteristic value determining unit is used for inputting the storage object image into a preset conversion model to obtain a characteristic value corresponding to the storage object image;
the coordinate point generating unit is used for generating a coordinate point according to the inquired equipment operating parameter and the characteristic value;
the fitting verification unit is used for randomly selecting a preset number of coordinate points, obtaining an influence function through fitting, and verifying the coordinate points according to the influence function obtained through fitting;
and the circular execution unit is used for circularly executing and recording the number of the influence functions, and determining the safe controllable value according to the number.
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