CN112330062A - Enterprise production running state supervision and early warning system based on electricity, water and gas consumption - Google Patents
Enterprise production running state supervision and early warning system based on electricity, water and gas consumption Download PDFInfo
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Abstract
The invention discloses an enterprise production running state supervision and early warning system based on electricity, water and gas consumption. The system comprises a visual monitoring early warning module, a bank management module, a bank enterprise relation management module, a loan client management module, an operation reporting module, a monthly audit reporting module, a daily operation report module and a monthly audit report module. The visual monitoring and early warning module collects the electricity, water and gas information of the enterprise to be monitored, and calculates the historical average value of the electricity, water and gas information: and carrying out early warning according to the historical average value, the early warning threshold value and the bottom line threshold value. The invention can realize the supervision and early warning management of the production running state of the enterprise under the environment of the Internet of things and big data, reduce the comprehensive cost, improve the real-time performance and the reliability of the production running state information of the enterprise and realize the management control of financial risks.
Description
Technical Field
The invention relates to the field of enterprise financial loan supervision by banks, in particular to an enterprise production running state supervision and early warning system based on electricity, water and gas consumption.
Background
China is the first large-commodity producing country in the world, the production yield of the commodity is the first in the world every year, the problems of high capital demand and large investment exist in the production of the commodity in the commodity production relative to the production of the service commodity, and the probability of occurrence of high loan amount enterprises, capital appropriation and unstable production of enterprises producing the commodity in the commodity production is high. The prior supervision mode mostly adopts the traditional supervision modes of regular patrol or enterprise manual reporting and the like, the real-time property, the authenticity and the hysteresis of the supervision information seriously influence the reliability and the effectiveness of the financial loan management and decision making of bank enterprises, and the invention can realize real-time, reliable and effective monitoring management by the real-time monitoring management and big data analysis and comparison of the power, water and gas information of the enterprises.
The enterprise production running state supervision and early warning system based on the technical fields of the Internet of things, the Internet, big data and finance is an application branch of intelligent industry, provides a new way for enterprise production running state supervision and big data accumulation based on the information acquisition and processing technology of the Internet of things, is particularly suitable for supervising the enterprise production running state after bank finance loan, forms big data and intelligent models based on electricity, water and gas, and better serves banks, enterprises and other related units.
Disclosure of Invention
The invention solves the problem that based on the financial risk management thought, the enterprise production running state supervision and early warning system based on electricity, water and gas consumption is provided, so that enterprise production running state supervision and early warning management under the environment of Internet of things and big data is realized, the comprehensive cost is reduced, the real-time performance and the reliability of enterprise production running state information are improved, and the financial risk management control is realized.
The invention adopts the following technical scheme:
an enterprise production running state supervision and early warning system based on electricity, water and gas consumption comprises a visual monitoring and early warning module; the visual monitoring and early warning module collects the electricity, water and gas information of the enterprise to be monitored, and the historical average value of the electricity, water and gas information is calculated by adopting the following formula:
(sum of historical data of electricity, water, or gas + sum of plant dynamics data for nearly twelve months)/(days of historical data + days of plant dynamics data operation);
the historical data refers to energy consumption data input by a user in nearly twelve months before monitoring starts, and the dynamic data of the equipment refers to energy consumption data monitored and acquired by the equipment every day after monitoring starts;
the visual monitoring early warning module carries out early warning according to the historical average value, the early warning threshold value and the bottom line threshold value; the early warning threshold value is a numerical value obtained by multiplying a manually set percentage by a historical average value, the bottom line threshold value is a manually set numerical value, and the bottom line threshold value has higher early warning priority than the early warning threshold value; if the historical average value is lower than the early warning threshold value, automatically early warning is carried out, and the information of the current day is recorded as the number of abnormal days; if the historical average value is lower than the bottom line threshold value, even if the historical average value is not lower than the early warning threshold value, early warning is still carried out.
Further, the system also includes the following modules:
the bank management module is used for establishing and identifying a bank account;
the bank enterprise relation management module is used for establishing an affiliation and management relation between a bank and an enterprise;
the loan client management module is used for setting loan and production operation supervision early warning for enterprises by banks;
the operation reporting module is used for checking daily equipment of an enterprise by a bank to automatically acquire the operation information of electricity, water and gas;
the monthly audit report module is used for checking the monthly audit report information and loan use proof materials of the enterprise by the bank;
the daily operation report module is used for enterprises to fill historical information and check daily equipment so as to automatically acquire electricity, water and gas operation information;
and the monthly audit report module is used for uploading monthly audit report information and loan use certification materials by enterprises.
Furthermore, the system is developed with a PC end and a mobile end, and the system logs in to enter a system homepage or a background function after inputting an account password according to identity information of a login user, the homepage displays loan account number, supervision account number, loan stroke number and state information, meanwhile, the page has loan overview information according to credit loan, mortgage loan, close-up loan and total loan amount, and provides a list display and screening function taking an enterprise as a dimension and loan as a dimension, and personal information of a login account and a background function entrance. In order to adapt to the use of personnel under different scenes, the system is provided with a mobile terminal APP (including an android version and an IOS version), and the personnel can use a mobile phone or a tablet computer to check real-time supervision early warning information anytime and anywhere.
Further, the electricity, water and gas information collected by the system comprises a real-time accumulated amount, a daily increment and a monthly increment. The system comprises a data acquisition device, a data acquisition device and a data storage device, wherein the data acquisition device is required to be installed with an equipment device suitable for the field environment for acquisition under the condition that the information acquisition device does not have the electricity, water and gas information acquisition function, and the acquired data is collected to an equipment access layer (equipment access platform) in a wireless mode and is stored in a big data storage layer (big data platform). The system obtains real-time information of electricity, water and gas from the DaaS layer according to the unique serial number of the equipment and the corresponding unique information acquisition point. Where DaaS is an abbreviation for Data as a Server.
The enterprise production running state supervision and early warning system based on electricity, water and gas consumption has the function of dynamically calculating historical big data information by adopting a big data-based dynamic early warning monitoring model, dynamically adjusts the historical average value according to the collected daily electricity, water and gas information of an enterprise, realizes dynamic early warning abnormity along with the development condition of the enterprise, and simultaneously has the bottom line threshold value setting, thereby avoiding the condition that the historical average value is pulled down to cause incapability of early warning due to poor continuous production running condition of the enterprise.
The invention relates to an enterprise production running state supervision and early warning system based on electricity, water and gas consumption, which has the key technology of calculation and early warning modes of electricity, water and gas information, and an abnormity judgment and recording mode:
1) the method for calculating the electricity, water and gas information comprises the following steps: and summing the values according to the historical data and the dynamic data of the equipment.
2) The early warning mode is as follows: and calculating according to the historical average value and the manually set percentage to obtain an early warning threshold value, comparing the daily data with the early warning threshold value, and early warning when the daily data is lower than the early warning threshold value.
3) The abnormality determination means: and when the dynamic data of the real-time equipment cannot be acquired or the yesterday increment value is lower than the early warning threshold value, judging that the equipment is abnormal.
4) The recording method is as follows: and recording original equipment data by adopting a big data platform, and recording the calculated application data in an application program.
The invention provides a visual monitoring and early warning function, loan information, enterprise operation state information and data (historical average value and the like) calculated according to a dynamic early warning monitoring model based on big data are presented in a chart comparison mode, and the visual monitoring and early warning system is favorable for finding problems in time and providing business decision assistance.
The invention has the following beneficial effects:
the enterprise production running state supervision and early warning system based on electricity, water and gas consumption can realize enterprise production running state supervision and early warning management under the environment of Internet of things and big data, reduce the comprehensive cost, improve the real-time performance and reliability of enterprise production running state information and realize financial risk management control.
The invention can solve the problems of monitoring management and real-time early warning of the real-time production running state of an enterprise after the enterprise is loaned by the existing bank, prevent the loan-obtaining enterprise from fund transfer and carrying money to avoid potential escape, and avoid bad account risk caused by the fact that the production and operation conditions are not good in time, realize real-time supervision of the production and running state of the enterprise by the bank, and accumulate and precipitate large data information such as electric, water, gas and financial statements of the enterprise for the bank, the enterprise or related units.
Drawings
Fig. 1 is a schematic diagram of the module composition of an enterprise production operation state supervision and early warning system based on electricity, water and gas consumption.
Fig. 2 is a schematic workflow diagram of an enterprise production operation state supervision and early warning system based on electricity, water and gas consumption.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, the present invention shall be described in further detail with reference to the following detailed description and accompanying drawings.
The enterprise production running state supervision and early warning system based on electricity, water and gas consumption of the embodiment is shown in fig. 1 and comprises eight modules: the system comprises a visual monitoring early warning module, a bank management module, a bank enterprise relationship management module, a loan customer management module, an operation reporting module, a monthly audit reporting module, a daily operation reporting module and a monthly audit reporting module. The visual monitoring and early warning module is a main module for realizing the monitoring and early warning function of the production running state of the enterprise.
The visual monitoring and early warning module is deployed with the dynamic early warning and monitoring model based on big data and used for monitoring, early warning and comparing visual real-time, daily and monthly production running states corresponding to a plurality of loans of a plurality of enterprises with historical information data; the bank management module is used for establishing and identifying a bank account; the bank enterprise relationship management module is used for establishing an affiliation and management relationship between a bank and an enterprise; the loan client management module is used for setting up loan and production operation supervision and early warning for enterprises by banks; the operation reporting module is used for checking daily equipment of an enterprise by a bank to automatically acquire the operation information of electricity, water and gas; the monthly audit report module is used for checking the monthly audit report information and loan use proof materials of the enterprise by the bank; the daily operation report module is used for enterprises to fill in historical information and check daily equipment so as to automatically acquire electricity, water and gas operation information; the monthly audit report module is used for uploading monthly audit report information and loan use proof materials by enterprises.
The visual monitoring and early warning module acquires real-time accumulated electricity consumption, accumulated water consumption and accumulated gas consumption of electricity, water and gas through the Internet of things technology, monitors the acquired electricity, water and gas information and equipment for nearly twelve months, and performs early warning according to the calculated dynamic historical average value, the early warning threshold value and the bottom line threshold value by the dynamic early warning monitoring model based on big data.
The calculation method of the dynamic history average value comprises the following steps: (sum of historical data of electricity, water or gas + sum of plant dynamics data for the last twelve months)/(days of historical data + days of plant dynamics data operation).
The early warning threshold value is a numerical value obtained by manually setting a dynamic historical average value of the percentage x, and the bottom line threshold value is a numerical value manually set. The baseline threshold has a higher early warning priority than the early warning threshold.
The dynamic early warning monitoring model based on the big data calculates the dynamic historical average value obtained by calculating the original data obtained by the big data platform and the manually set percentage to obtain the early warning threshold value of each day, compares the early warning threshold value with the data of each day and carries out early warning under abnormal conditions (the data of the day is lower than the early warning threshold value). If the data of the current day is lower than the bottom line threshold value, early warning is still carried out even if the value of the current day is not lower than the data of the early warning threshold value.
The invention can realize the real-time production operation monitoring of many-to-many electricity, water and gas of a plurality of banks and a plurality of enterprises, and one bank can carry out the operation monitoring of single loan or loan status of the whole enterprise on a plurality of loans of a plurality of enterprises. One enterprise can provide real-time production and operation of electricity, water and gas information for a plurality of banks.
According to the method, historical readings (every five seconds) of electricity, water and gas, daily increment information, monthly increment information and historical average data are obtained, the historical readings every five seconds guarantee timely early warning and complete data recording, the daily increment information is calculated and saved for early warning comparison and big data analysis, the monthly increment information is calculated and saved for big data analysis, and the historical average value is used as a calculated base number in the early warning threshold value calculation.
The visual monitoring and early warning module of the invention displays the monitoring states of normal monitoring and early warning, the number of days of equipment operation, the number of days of data abnormity, electricity, water and gas data and the numerical display of normal and abnormal dial plates, and an area stack diagram of the electricity, water and gas consumption of nearly seven days and a linear stack diagram of the electricity, water and gas consumption of nearly twelve months. The monitored electricity, water and gas information has two states of normal and early warning. The number of device running days refers to the total number of days the device has been in operation since the system was installed. Data anomaly days refer to the total number of days that anomalies have occurred. The display of electricity, water and gas data and normal and abnormal dial values indicates visual data display mode through the dial. The area stacking diagram of the consumption of electricity, water and gas in near seven days refers to a diagram display mode of adopting the stacking diagram according to the consumption of electricity, water and gas in near seven days. The area stacking diagram of the consumption of electricity, water and gas in near seven days refers to a diagram display mode of adopting the stacking diagram according to the consumption of electricity, water and gas in near seven days.
The visual monitoring and early warning module of the invention is provided with a specific scale interval of the daily usage monitoring dial plate and a scale interval dividing mode. In the specific views of interface layout display and data display under the loan view and the enterprise view, the maximum scale value of a green interval is the historical average value x1.5, the maximum scale value of a yellow interval is the historical average value, the maximum scale value of a red interval is an early warning threshold value calculated according to the historical average value and manual setting, and the minimum scale value of the red interval starts from zero.
The enterprise production operation state supervision and early warning system based on electricity, water and gas consumption introduces the internet of things technology, the automatic monitoring technology, the internet technology, the big data technology, the financial technology and the model into the monitoring and management of the operation of the production enterprise, realizes the real-time monitoring and management of the production operation of the enterprise, and provides basis and informatization assistance for the decision of banks, enterprises or related units. As shown in fig. 2, the method comprises the following steps:
1) and acquiring or installing the electric, water and gas internet of things equipment and a wireless or wired network according to the condition of an implementation enterprise. An enterprise is registered on an existing Internet of things access platform (equipment Internet of things access platform), Internet of things equipment and a data acquisition point are created, and real-time data of electricity, water and gas of the enterprise are accessed.
2) The accessed enterprise electricity, water and gas information is stored in the existing big data platform, data structuring and data persistence are carried out, and an enterprise production running state supervision and early warning system based on electricity, water and gas consumption is used for carrying out real-time calling and calculation.
3) In the enterprise production operation state supervision and early warning system based on electricity, water and gas consumption, a bank is established by using a bank enterprise relation management module, an enterprise is established, the incidence relation between the bank and the enterprise is set, and the bank is given the authority to establish loan for the enterprise and the acquisition of enterprise information under the credible authorization.
4) The bank manages the enterprise according to the actual loan service, performs specific loan setting on the enterprise and corresponds to the loan supervision and early warning setting, and the system requires the enterprise to fill the range of initialization information according to the setting, starts to collect the electricity, water and gas information in the production running state of the enterprise, and performs supervision and early warning according to a big data dynamic early warning monitoring model of the system. The steps relate to loan client management, operation submission, daily operation report forms and a visual early warning monitoring module.
5) After the enterprise establishes a specific loan in a bank, the enterprise fills in the initialization information of electricity, water and gas corresponding to nearly twelve months in the system, and uploads an enterprise monthly financial audit statement and loan use certification vouchers monthly according to the system requirements. The steps relate to loan client management, monthly audit submission, monthly audit report and operation submission module.
6) When the previous date data of the enterprise is lower than the early warning threshold value or the bottom line threshold value, the system gives early warning, wherein the bottom line threshold value has higher early warning priority, and meanwhile, if the data collection of the internet of things equipment is incomplete and audit information is abnormal, the abnormal states of the enterprise and the corresponding loan are also triggered. The steps relate to a loan client management and visual early warning monitoring module.
7) The enterprise production running state supervision early warning period of the electricity, water and gas consumption of the enterprise can follow the information of the specific loan, and different loans directly supervise and early warn the production running state of the electricity, water and gas consumption of the enterprise, and are independent from each other and do not interfere with each other. The steps relate to loan customer management, operation submission, daily operation submission and a visual early warning monitoring module.
8) Whether in the production running state supervision early warning or after the whole period is finished, the current and historical information can be checked in real time. The steps relate to loan customer management, operation submission, daily operation submission, monthly audit report and a visual early warning monitoring module.
The foregoing disclosure of the specific embodiments of the present invention and the accompanying drawings is directed to an understanding of the present invention and its implementation, and it will be appreciated by those skilled in the art that various alternatives, modifications, and variations may be made without departing from the spirit and scope of the invention. The present invention should not be limited to the disclosure of the embodiments and drawings in the specification, and the scope of the present invention is defined by the scope of the claims.
Claims (8)
1. An enterprise production running state supervision and early warning system based on electricity, water and gas consumption is characterized by comprising a visual monitoring and early warning module; the visual monitoring and early warning module collects the electricity, water and gas information of the enterprise to be monitored, and the historical average value of the electricity, water and gas information is calculated by adopting the following formula:
(sum of historical data of electricity, water, or gas + sum of plant dynamics data for nearly twelve months)/(days of historical data + days of plant dynamics data operation);
the historical data refers to energy consumption data input by a user in nearly twelve months before monitoring starts, and the dynamic data of the equipment refers to energy consumption data monitored and acquired by the equipment every day after monitoring starts;
the visual monitoring early warning module carries out early warning according to the historical average value, the early warning threshold value and the bottom line threshold value; the early warning threshold value is a numerical value obtained by multiplying a manually set percentage by a historical average value, the bottom line threshold value is a manually set numerical value, and the bottom line threshold value has higher early warning priority than the early warning threshold value; if the historical average value is lower than the early warning threshold value, automatically carrying out early warning; if the historical average value is lower than the bottom line threshold value, even if the historical average value is not lower than the early warning threshold value, early warning is still carried out.
2. The system of claim 1, further comprising:
the bank management module is used for establishing and identifying a bank account;
the bank enterprise relation management module is used for establishing an affiliation and management relation between a bank and an enterprise;
the loan client management module is used for setting loan and production operation supervision early warning for enterprises by banks;
the operation reporting module is used for checking daily equipment of an enterprise by a bank to automatically acquire the operation information of electricity, water and gas;
the monthly audit report module is used for checking the monthly audit report information and loan use proof materials of the enterprise by the bank;
the daily operation report module is used for enterprises to fill historical information and check daily equipment so as to automatically acquire electricity, water and gas operation information;
and the monthly audit report module is used for uploading monthly audit report information and loan use certification materials by enterprises.
3. The system according to claim 1 or 2, wherein the electricity, water and gas information collected by the visual monitoring and early warning module through the internet of things technology comprises real-time accumulated quantity, daily increment and monthly increment; and collecting the collected data to an equipment access layer in a wireless mode, and storing the collected data in a big data storage layer.
4. The system according to claim 1 or 2, characterized by comprising a PC end and a mobile end, wherein the PC end and the mobile end log in to a system homepage or a background function after inputting an account password according to identity information of a login user, the homepage is displayed with loan account number, supervision account number, loan number and state information, meanwhile, the homepage is provided with loan overview information according to credit loan, mortgage loan, close-up loan and total loan amount, and provides list display and screening functions taking an enterprise as a dimension and loan as a dimension, and personal information of the login account and a background function entrance; and the mobile terminal APP is used by a user through a mobile phone or a tablet computer to check real-time supervision early warning information at any time and any place.
5. The system according to claim 1 or 2, wherein the visual monitoring and early warning module presents loan information, enterprise operating state information and historical average values in a chart comparison mode so as to find problems in time and provide business decision assistance.
6. The system according to claim 1 or 2, wherein the visual monitoring and early warning module displays the monitoring states of normal monitoring and early warning, the operation days of equipment, abnormal data days, electricity, water and gas data and normal and abnormal dial numerical displays, and an area stack diagram of the electricity, water and gas usage of nearly seven days and a linear stack diagram of the electricity, water and gas usage of nearly december; the monitored electricity, water and gas information has two states of normal and early warning.
7. The system according to claim 1 or 2, wherein the visual monitoring and early warning module sets a scale interval and a scale interval dividing mode of a specific daily usage monitoring dial, the maximum scale value of a green interval is a historical average value x1.5, the maximum scale value of a yellow interval is a historical average value, the maximum scale value of a red interval is an early warning threshold value calculated according to the historical average value and through manual setting, and the minimum scale value of the red interval starts from zero.
8. The system of claim 2, wherein the real-time production operation monitoring of electricity, water and gas of a plurality of banks and a plurality of enterprises is realized through each module, one bank can carry out operation monitoring of single loan or loan status of the whole enterprise on a plurality of loans of the plurality of enterprises, and one enterprise can provide the electricity, water and gas information of real-time production operation for the plurality of banks.
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